The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index; 12 of the 25 sources its claims cite were checked for support.
Socio-economic variations in the mental health treatment gap for people with anxiety, mood, and substance use disorders: results from the WHO World Mental Health (WMH) surveys
Open accessAbstract
Background The treatment gap between the number of people with mental disorders and the number treated represents a major public health challenge. We examine this gap by socio-economic status (SES; indicated by family income and respondent education) and service sector in a cross-national analysis of community epidemiological survey data. Methods Data come from 16 753 respondents with 12-month DSM-IV disorders from community surveys in 25 countries in the WHO World Mental Health Survey Initiative. DSM-IV anxiety, mood, or substance disorders and treatment of these disorders were assessed with the WHO Composite International Diagnostic Interview (CIDI). Results Only 13.7% of 12-month DSM-IV/CIDI cases in lower-middle-income countries, 22.0% in upper-middle-income countries, and 36.8% in high-income countries received treatment. Highest-SES respondents were somewhat more likely to receive treatment, but this was true mostly for specialty mental health treatment, where the association was positive with education (highest treatment among respondents with the highest education and a weak association of education with treatment among other respondents) but non-monotonic with income (somewhat lower treatment rates among middle-income respondents and equivalent among those with high and low incomes). Conclusions The modest, but nonetheless stronger, an association of education than income with treatment raises questions about a financial barriers interpretation of the inverse association of SES with treatment, although future within-country analyses that consider contextual factors might document other important specifications. While beyond the scope of this report, such an expanded analysis could have important implications for designing interventions aimed at increasing mental disorder treatment among socio-economically disadvantaged people. © 2017 Cambridge University Press.
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50 Own result · 18 Own method · 8 Own interpretation · 7 No full text of the sources · 6 Partly supported · 3 Sources not found · 1 Supported · 1 Couldn’t confirm · accuracy not yet measured
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“these disorder characteristics are known to predict treatment (Andrade et al. 2014)”
§ Socio-economic variations in the mental health treatment gap for people with anxiety, mood, and substance use disorders: Results from the WHO World Mental Health (WMH) Surveys > Methods > Measures
What the sources say
- Partly supportedcites Andrade et al. 2014 sourceExperimental — accuracy not yet measured
The Results (page not supplied) show that disorder severity is associated with perceived need for treatment and with reported barriers to seeking it. The paper does not establish that disorder characteristics predict whether someone actually receives treatment; its regression models examine barriers rather than treatment receipt. (LLM, conf=0.83)
boosteddirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Partly supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“SES is known to be inversely related to these disorder characteristics (Scott et al. 2014)”
§ Socio-economic variations in the mental health treatment gap for people with anxiety, mood, and substance use disorders: Results from the WHO World Mental Health (WMH) Surveys > Methods > Measures
What the sources say
- Supportedcites Scott et al. 2014 source
The Introduction states that decades of research have established an inverse association between socioeconomic status and many mental disorders. The Discussion also reports inverse associations between subjective social status and all 16 mental disorders studied. (LLM, conf=0.93)
boostedcorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“there is some evidence of cross-national differences in the association of SES with mental disorder treatment (Kessler et al. 1997; Van Doorslaer & Masseria, 2004; Devaux & De Looper, 2012).”
§ Socio-economic variations in the mental health treatment gap for people with anxiety, mood, and substance use disorders: Results from the WHO World Mental Health (WMH) Surveys > Background
What the sources say
- Partly supportedcites Kessler et al. 1997 sourceExperimental — accuracy not yet measured
The paper’s introductory discussion (section labeled Abstract; page unavailable) contrasts access in Ontario and the United States and says people with limited financial resources face greater barriers in the United States. This supports a possible cross-national socioeconomic difference, but the reported analyses compare treatment by level of need, not the association between SES and treatment across countries. (LLM, conf=0.78)
- Not checked — no full text of the sourcecites Van Doorslaer & Masseria, 2004 source
- Partly supportedcites Devaux & De Looper, 2012 sourceExperimental — accuracy not yet measured
Section 4.1 (Doctor visits, paragraph 42) reports that the income gradient in doctor visits differs across countries. But the paper analyzes general health-service use, not mental disorder treatment specifically; its cross-national findings do not establish that narrower claim. (LLM, conf=0.85)
hedgedcorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- Partly supported
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“And two disorders, social phobia and bipolar spectrum disorder, had significant ORs predicting treatment in the SMH sector (OR=1.2-1.3).”
§ Socio-economic variations in the mental health treatment gap for people with anxiety, mood, and substance use disorders: Results from the WHO World Mental Health (WMH) Surveys > Results > Clinical predictors of treatment
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Alcohol use disorder was the only disorder associated with multiple significantly decreased ORs, which involved any treatment and treatment in the GM and human services sectors (OR=0.6-0.7)”
§ Socio-economic variations in the mental health treatment gap for people with anxiety, mood, and substance use disorders: Results from the WHO World Mental Health (WMH) Surveys > Results > Clinical predictors of treatment
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“A weighted 14.9% of Part II respondents across surveys met criteria for at least one 12-month DSM-IV/CIDI disorder.”
§ Socio-economic variations in the mental health treatment gap for people with anxiety, mood, and substance use disorders: Results from the WHO World Mental Health (WMH) Surveys > Results > Twelve-month treatment of DSM-IV/CIDI disorders
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The GM sector had the highest treatment rate (17.8%).”
§ Socio-economic variations in the mental health treatment gap for people with anxiety, mood, and substance use disorders: Results from the WHO World Mental Health (WMH) Surveys > Results > Twelve-month treatment of DSM-IV/CIDI disorders
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The SMH sector had the second highest treatment rate (13.5%).”
§ Socio-economic variations in the mental health treatment gap for people with anxiety, mood, and substance use disorders: Results from the WHO World Mental Health (WMH) Surveys > Results > Twelve-month treatment of DSM-IV/CIDI disorders
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“29.0% of respondents with 12-month disorders received 12-month treatment.”
§ Socio-economic variations in the mental health treatment gap for people with anxiety, mood, and substance use disorders: Results from the WHO World Mental Health (WMH) Surveys > Results > Twelve-month treatment of DSM-IV/CIDI disorders
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Disorder number was significantly associated with each type of treatment (χ22=9.4-11.7, p =.003-.009) due to significantly decreased ORs for 4+ disorders (OR=0.6-0.7).”
§ Socio-economic variations in the mental health treatment gap for people with anxiety, mood, and substance use disorders: Results from the WHO World Mental Health (WMH) Surveys > Results > Clinical predictors of treatment
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
- The authors state this as an assumption: The 3-way and higher-order interactions among disorders predicting treatment were subject to a constant multiplier that could be 1.0 or different from 1.0.
- Probably not a substantial claim. 21
- It may state two separate claims as one. 39
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“Models of this form have been shpwn to be useful in a number of prior WMH analyses (e.g., Stein et al. 2016; McGrath et al. 2016).”
§ Socio-economic variations in the mental health treatment gap for people with anxiety, mood, and substance use disorders: Results from the WHO World Mental Health (WMH) Surveys > Methods > Measures
What the sources say
- Partly supportedcites Stein et al. 2016 sourceExperimental — accuracy not yet measured
In Results > Predictors of PTSD (page unavailable), Stein et al. use a model in which each additional prior anxiety disorder from zero to three has the same incremental odds ratio. This supports the constant-multiplier aspect, but our copy does not show dummy variables for three and four or more disorders; it says three was the maximum count with enough respondents for a stable estimate. (LLM, conf=0.84)
- Partly supportedcites McGrath et al. 2016 sourceExperimental — accuracy not yet measured
The Method > Statistical Analysis section describes WMH models with dummy predictors for exactly three and more than three prior disorders, and says these predictors characterize non-additive associations. Our copy does not describe constant multiplier constraints, so it supports the cited example only in part. (LLM, conf=0.85)
boosted- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
- Partly supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“cross-national differences in treatment rates are strongly influenced by healthcare spending (Lewer et al. 2015)”
§ Socio-economic variations in the mental health treatment gap for people with anxiety, mood, and substance use disorders: Results from the WHO World Mental Health (WMH) Surveys > Background
What the sources say
- Partly supportedcites Lewer et al. 2015 sourceExperimental — accuracy not yet measured
The Conclusions say healthcare spending explains some variation in antidepressant use across Europe and is strongly associated with regularity of use; the Results likewise link higher spending to higher odds of regular use. The claim broadens this to treatment rates generally and describes spending as a strong influence, whereas the paper establishes an association, particularly for regular antidepressant use. (LLM, conf=0.85)
boosteddirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
- Partly supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“This gap is even greater for people with low socio-economic status (SES) and those living in low-income countries (Steele et al. 2007; Ormel et al. 2008) even adjusting for disorder severity (Mojtabai, 2010; Andrade et al. 2014).”
§ Socio-economic variations in the mental health treatment gap for people with anxiety, mood, and substance use disorders: Results from the WHO World Mental Health (WMH) Surveys > Background
What the sources say
- Supportedcites Steele et al. 2007 source
The introductory passage states that the gap between need for mental health services and service use tends to be greatest in lower socioeconomic groups. In the citing sentence, Steele et al. is paired with the low-SES portion; the low-income-country and disorder-severity portions have other citations. (LLM, conf=0.91)
- Partly supportedcites Ormel et al. 2008 sourceExperimental — accuracy not yet measured
The ‘Self-reported disorder prevalence and treatment’ section (page unavailable) reports a larger mental-versus-physical treatment gap in low- and middle-income countries than in high-income countries, including among severely disabling disorders. Our copy does not establish a larger gap for people with low SES. The citing sentence attributes the severity-adjustment clause to other citations, not specifically to Ormel et al.; this paper reports comparisons by severity rather than an adjusted SES finding. (LLM, conf=0.86)
- Not matchedcites Mojtabai, 2010
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Supported
The cited sources that could be checked couldn’t confirm or dispute this claim.
In the paper
“The small amount of research that exists on mental disorder treatment quality finds that low-SES patients are significantly more likely than other patients to receive lower-quality treatment (Amaddeo & Jones, 2007; Young & Rabiner, 2015).”
§ Socio-economic variations in the mental health treatment gap for people with anxiety, mood, and substance use disorders: Results from the WHO World Mental Health (WMH) Surveys > Limitations
What the sources say
- Could not verifycites Amaddeo & Jones, 2007 sourceExperimental — accuracy not yet measured
The Introduction and ‘How SES Affects Mental Health Service Use’ discuss psychiatric morbidity, service use, and possible barriers to access for people with lower SES. A search for treatment quality and quality of care found no passage reporting that low-SES patients receive significantly lower-quality treatment. The indexed passages provide no page numbers. (LLM, conf=0.76)
- Could not verifycites Young & Rabiner, 2015 sourceExperimental — accuracy not yet measured
The Previous Research section links lower SES to reduced initiation or continuation of child mental health treatment, not to the quality of treatment received. The Results section reports no significant effect of household income on the barriers studied. Searches for SES and treatment quality found no passage establishing the claimed significant difference in treatment quality. (LLM, conf=0.76)
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
- Could not verify
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“Third, the treatment measures were limited to self-reports, which have been found to over-estimate treatment compared to administrative records (Rhodes & Fung, 2004).”
§ Socio-economic variations in the mental health treatment gap for people with anxiety, mood, and substance use disorders: Results from the WHO World Mental Health (WMH) Surveys > Limitations
What the sources say
- Partly supportedcites Rhodes & Fung, 2004 sourceExperimental — accuracy not yet measured
The Abstract reports that highly distressed people reported more mental-health service use than appeared in their administrative records. But the claim presents overestimation as a general property of self-reported treatment measures; the paper limits the finding to particular groups and notes in the Introduction that people may also under-report use. The paper does not establish that the citing study’s own treatment measures were overestimates. (LLM, conf=0.88)
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Partly supported
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“was significantly and positively associated with SMH treatment (χ23=8.0, p=.045) due to an OR of 0.8 for respondents in each of the three lower income categories relative to the highest income category.”
§ Socio-economic variations in the mental health treatment gap for people with anxiety, mood, and substance use disorders: Results from the WHO World Mental Health (WMH) Surveys > Results > SES differences in treatment
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- The authors state this as an assumption: The mechanisms by which income and education affect treatment are different.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Disorder type was significant in predicting treatment in the base multivariate model predicting overall treatment (χ212=506.1, p<.001) as well as treatment in each service sector (χ212=36.4-315.1, p<.001).”
§ Socio-economic variations in the mental health treatment gap for people with anxiety, mood, and substance use disorders: Results from the WHO World Mental Health (WMH) Surveys > Results > Clinical predictors of treatment
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The treatment rate was highest in high-income countries (36.8%), lower in upper-middle-income countries (22.0%), and lowest in lower-middle-income countries (13.7%; F2,5366=221.1, p<.001).”
§ Socio-economic variations in the mental health treatment gap for people with anxiety, mood, and substance use disorders: Results from the WHO World Mental Health (WMH) Surveys > Results > Twelve-month treatment of DSM-IV/CIDI disorders
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Disorder severity, finally, had a significant monotonic relationship with Each treatment outcome (χ22=21.3-186.0, p<.001), with severe disorders having highest relative-odds (OR=2.0-2.9) followed by moderate disorders (OR=1.3-1.5) compared to mild disorders.”
§ Socio-economic variations in the mental health treatment gap for people with anxiety, mood, and substance use disorders: Results from the WHO World Mental Health (WMH) Surveys > Results > Clinical predictors of treatment
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Highest-SES respondents were somewhat more likely to receive treatment, but this was true mostly for specialty mental health treatment”
§ Socio-economic variations in the mental health treatment gap for people with anxiety, mood, and substance use disorders: Results from the WHO World Mental Health (WMH) Surveys > Abstract > Results:
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The modest, but nonetheless stronger, association of education than income with treatment raises questions about a financial barriers interpretation of the inverse association of SES with treatment”
§ Socio-economic variations in the mental health treatment gap for people with anxiety, mood, and substance use disorders: Results from the WHO World Mental Health (WMH) Surveys > Abstract > Conclusions:
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The 3-way interactions were significant for both education and income predicting any treatment (χ212=22.9-29.8, p=.029-.003) and for income predicting GM treatment (χ212=26.8, p=.008).”
§ Socio-economic variations in the mental health treatment gap for people with anxiety, mood, and substance use disorders: Results from the WHO World Mental Health (WMH) Surveys > Results > Interactions of SES with disorder severity, respondent SES, and country income level
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“treatment was consistently most common in the GM sector followed by the SMH sector and much lower in the human services and CAM sectors.”
§ Socio-economic variations in the mental health treatment gap for people with anxiety, mood, and substance use disorders: Results from the WHO World Mental Health (WMH) Surveys > Results > Twelve-month treatment of DSM-IV/CIDI disorders
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The 4-category measures of respondent education and income were significantly correlated with each other (polychoric correlation = 0.295, p = <.001; see Appendix Table 2 for within-survey distributions and associations).”
§ Socio-economic variations in the mental health treatment gap for people with anxiety, mood, and substance use disorders: Results from the WHO World Mental Health (WMH) Surveys > Results > SES differences in treatment
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“where the association was positive with education (highest treatment among respondents with highest education and a weak association of education with treatment among other respondents)”
§ Socio-economic variations in the mental health treatment gap for people with anxiety, mood, and substance use disorders: Results from the WHO World Mental Health (WMH) Surveys > Abstract > Results:
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“but non-monotonic with income (somewhat lower treatment rates among middle-income respondents and equivalent among those with high and low incomes).”
§ Socio-economic variations in the mental health treatment gap for people with anxiety, mood, and substance use disorders: Results from the WHO World Mental Health (WMH) Surveys > Abstract > Results:
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The sum of sector-specific treatment rates (38.7/100 respondents) exceeded the 29.0% of individuals with any treatment due to some patients being treated in multiple sectors.”
§ Socio-economic variations in the mental health treatment gap for people with anxiety, mood, and substance use disorders: Results from the WHO World Mental Health (WMH) Surveys > Results > Twelve-month treatment of DSM-IV/CIDI disorders
plaindirectn = 100- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The highest treatment rate across surveys was in Murcia, Spain (49.6%) and the lowest in Shenzhen in the People’s Republic of China (PRC; 6.7%).”
§ Socio-economic variations in the mental health treatment gap for people with anxiety, mood, and substance use disorders: Results from the WHO World Mental Health (WMH) Surveys > Results > Twelve-month treatment of DSM-IV/CIDI disorders
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Only 13.7% of 12-month DSM-IV/CIDI cases in lower-middle-income countries, 22.0% in upper-middle-income countries, and 36.8% in high-income countries received treatment.”
§ Socio-economic variations in the mental health treatment gap for people with anxiety, mood, and substance use disorders: Results from the WHO World Mental Health (WMH) Surveys > Abstract > Results:
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Education, in comparison, was most consistently associated with SMH treatment, as the associations of education with treatment in other service sectors were relatively weak (significant ORs in the range 0.6-0.8).”
§ Socio-economic variations in the mental health treatment gap for people with anxiety, mood, and substance use disorders: Results from the WHO World Mental Health (WMH) Surveys > Discussion
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The 2-way interactions of income with severity and with country income level were significant in a model that excluded the 3-way interactions in predicting SMH treatment (χ26=12.9-13.6, p=.045-.035).”
§ Socio-economic variations in the mental health treatment gap for people with anxiety, mood, and substance use disorders: Results from the WHO World Mental Health (WMH) Surveys > Results > Interactions of SES with disorder severity, respondent SES, and country income level
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“and a significantly negative association among mild cases in upper-middle-income countries (a significant OR=1.8 for low-income respondents; χ23=14.9, p=.002).”
§ Socio-economic variations in the mental health treatment gap for people with anxiety, mood, and substance use disorders: Results from the WHO World Mental Health (WMH) Surveys > Results > Interactions of SES with disorder severity, respondent SES, and country income level
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The association of education with SMH treatment was stable across all levels of disorder severity and country income groups, with the significant association due to a comparatively high odds of treatment among people at the highest education level (ORs of 0.6-0.7 for lower education levels equivalent to 1.4-1.7 higher odds at highest versus lower levels).”
§ Socio-economic variations in the mental health treatment gap for people with anxiety, mood, and substance use disorders: Results from the WHO World Mental Health (WMH) Surveys > Discussion
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Subgroup analysis found no significant association of income with overall treatment in the total sample and only inconsistent opposite-sign associations in subsamples.”
§ Socio-economic variations in the mental health treatment gap for people with anxiety, mood, and substance use disorders: Results from the WHO World Mental Health (WMH) Surveys > Discussion
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The significant association of income with SMH treatment in the total sample was consistent across country income groups due to especially low odds of treatment in intermediate income groups within each severity subsample (OR=0.3-0.5) rather than in the lowest income group (OR=0.7-0.9).”
§ Socio-economic variations in the mental health treatment gap for people with anxiety, mood, and substance use disorders: Results from the WHO World Mental Health (WMH) Surveys > Results > Interactions of SES with disorder severity, respondent SES, and country income level
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The non-significant association of income with GM treatment in the total sample, finally, was found to mask a significantly positive association among moderately severe cases in lower-middle income countries and mild cases in both lower-middle and high income countries (significant ORs of 0.2-0.7; χ23=8.8-18.3, p=.032-<.001)”
§ Socio-economic variations in the mental health treatment gap for people with anxiety, mood, and substance use disorders: Results from the WHO World Mental Health (WMH) Surveys > Results > Interactions of SES with disorder severity, respondent SES, and country income level
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Subgroup analysis showed that the significant association of education with any treatment in the total sample was limited to severe and moderate cases in high-income countries (χ23=9.9-17.2, p=.019-.001). Significant ORs among respondents with lower levels of education were in the range 0.5-0.8.”
§ Socio-economic variations in the mental health treatment gap for people with anxiety, mood, and substance use disorders: Results from the WHO World Mental Health (WMH) Surveys > Results > Interactions of SES with disorder severity, respondent SES, and country income level
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“and significantly negative associations among mild cases in upper-middle-income countries and severe cases in high income countries (significant ORs of 1.5-2.0; χ23=15.1-44.3,, p=.002-<.001).”
§ Socio-economic variations in the mental health treatment gap for people with anxiety, mood, and substance use disorders: Results from the WHO World Mental Health (WMH) Surveys > Results > Interactions of SES with disorder severity, respondent SES, and country income level
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Although the association of income with GM treatment was non-significant in the total sample, a significant 3-way interaction was found due to a series of opposite-sign subgroup associations that had no apparent patterning.”
§ Socio-economic variations in the mental health treatment gap for people with anxiety, mood, and substance use disorders: Results from the WHO World Mental Health (WMH) Surveys > Discussion
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The significant association of education with SMH treatment in the total sample varied by disorder severity and country income, with significant ORs among respondents of lower education were in the range 0.6-0.7.”
§ Socio-economic variations in the mental health treatment gap for people with anxiety, mood, and substance use disorders: Results from the WHO World Mental Health (WMH) Surveys > Results > Interactions of SES with disorder severity, respondent SES, and country income level
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“This discrepancy was small, though, as cases in the highest income category (roughly one-fourth of the population) had only about 25% higher odds of specialty mental health treatment than those in lower income categories and, as noted in the prior paragraph, there were no differences in odds of receiving specialty treatment across the lower three income categories.”
§ Socio-economic variations in the mental health treatment gap for people with anxiety, mood, and substance use disorders: Results from the WHO World Mental Health (WMH) Surveys > Discussion
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“The samples were based on a multi-stage clustered area probability household design.”
§ Socio-economic variations in the mental health treatment gap for people with anxiety, mood, and substance use disorders: Results from the WHO World Mental Health (WMH) Surveys > Methods > Sample
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
In the paper
“The CIDI interview translation, back-translation, adaptation, and harmonization protocol required culturally competent bilingual clinicians to review, modify, and approve key phrases describing symptoms (Harkness et al. 2008).”
§ Socio-economic variations in the mental health treatment gap for people with anxiety, mood, and substance use disorders: Results from the WHO World Mental Health (WMH) Surveys > Methods > Measures
What the sources say
- Not matchedcites Harkness et al. 2008
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
- Not matched
In the paper
“Mental disorders were assessed with the WHO Composite International Diagnostic Interview (CIDI) Version 3.0 (Kessler & Ustun, 2004), a fully-structured interview generating lifetime and 12-month prevalence estimates of common DSM-IV disorders.”
§ Socio-economic variations in the mental health treatment gap for people with anxiety, mood, and substance use disorders: Results from the WHO World Mental Health (WMH) Surveys > Methods > Measures
What the sources say
- Not checked — no full text of the sourcecites Kessler & Ustun, 2004 source
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. It may state two separate claims as one.
In the paper
“Blinded clinical reappraisal interviews with the Structured Clinical Interview for DSM-IV (First et al. 2002) in a number of WMH surveys found generally good concordance with diagnoses based on the CIDI (Haro et al. 2006).”
§ Socio-economic variations in the mental health treatment gap for people with anxiety, mood, and substance use disorders: Results from the WHO World Mental Health (WMH) Surveys > Methods > Measures
What the sources say
- Not checked — no full text of the sourcecites Haro et al. 2006 source
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“Weights adjusted for under-sampling Part I respondents without disorders, differences in within-household probabilities of selection (due to the selection of only one respondent per household no matter the number of eligible residents), and residual discrepancies between sample and population distributions on Census demographic-geographic variables.”
§ Socio-economic variations in the mental health treatment gap for people with anxiety, mood, and substance use disorders: Results from the WHO World Mental Health (WMH) Surveys > Methods > Measures
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. It may state two separate claims as one.
In the paper
“Response rates were 45.9-97.2% across surveys with a weighted (by sample size) average of 70.1% using the American Association for Public Opinion research RR1w definition (AAPOR, 2016).”
§ Socio-economic variations in the mental health treatment gap for people with anxiety, mood, and substance use disorders: Results from the WHO World Mental Health (WMH) Surveys > Methods > Sample
What the sources say
- Not matchedcites AAPOR, 2016
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
- Not matched
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“The surveys were administered to representative samples of adult household residents in 25 countries.”
§ Socio-economic variations in the mental health treatment gap for people with anxiety, mood, and substance use disorders: Results from the WHO World Mental Health (WMH) Surveys > Methods > Sample
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“There were no low-income countries in the sample.”
§ Socio-economic variations in the mental health treatment gap for people with anxiety, mood, and substance use disorders: Results from the WHO World Mental Health (WMH) Surveys > Methods > Sample
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“Samples were nationally representative in 19 surveys, representative of all urbanized areas in 3 others (Colombia, Mexico, Peru), and representative of selected regions (Nigeria) or Metropolitan areas (Sao Paulo in Brazil, Medellin in Colombia, a series of cities in Japan, Beijing/Shanghai and Shenzhen in the Peoples Republic of China) in the others.”
§ Socio-economic variations in the mental health treatment gap for people with anxiety, mood, and substance use disorders: Results from the WHO World Mental Health (WMH) Surveys > Methods > Sample
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“Our models controlled for respondent age, sex, and marital status.”
§ Socio-economic variations in the mental health treatment gap for people with anxiety, mood, and substance use disorders: Results from the WHO World Mental Health (WMH) Surveys > Methods > Measures
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
None of the sources cited for this claim could be matched to a paper in Crossref, so there is nothing to check it against.
In the paper
“Confidence intervals for prevalence estimates and ORs were estimated using the Taylor series linearization method (Wolter, 1985) implemented in the SUDAAN software system (Research Triangle Institute, 2002) to adjust for weighting and geographic clustering of data.”
§ Socio-economic variations in the mental health treatment gap for people with anxiety, mood, and substance use disorders: Results from the WHO World Mental Health (WMH) Surveys > Methods > Measures
What the sources say
- Not matchedcites Wolter, 1985
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Not matchedcites Research Triangle Institute, 2002
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
- Not matched
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“making it important to control adequately for these characteristics to obtain accurate estimates of effects of SES on treatment.”
§ Socio-economic variations in the mental health treatment gap for people with anxiety, mood, and substance use disorders: Results from the WHO World Mental Health (WMH) Surveys > Methods > Measures
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“Even with these global tests, though, over-fitting was possible due to the large number of tests, making it important to consider results only exploratory.”
§ Socio-economic variations in the mental health treatment gap for people with anxiety, mood, and substance use disorders: Results from the WHO World Mental Health (WMH) Surveys > Methods > Measures
hedged- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“Part II data were weighted to adjust for the under-sampling of Part I non-cases, making weighted Part II prevalence estimates identical to Part I estimates.”
§ Socio-economic variations in the mental health treatment gap for people with anxiety, mood, and substance use disorders: Results from the WHO World Mental Health (WMH) Surveys > Methods > Sample
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“However, the significant positive association with specialty mental health treatment and the significant inverse association with human services treatment in the total sample showed that even though people of different financial means were equally likely to receive some type of treatment, a significant discrepancy existed in the sector in which treatment was received.”
§ Socio-economic variations in the mental health treatment gap for people with anxiety, mood, and substance use disorders: Results from the WHO World Mental Health (WMH) Surveys > Discussion
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“Although we attempted to control for differential response through post-stratification adjustments, survey response might have been related to social status, presence and severity of mental disorders or treatment in ways that were uncorrected.”
§ Socio-economic variations in the mental health treatment gap for people with anxiety, mood, and substance use disorders: Results from the WHO World Mental Health (WMH) Surveys > Limitations
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“However, as the number of countries was small (n = 25) and no information was available about within-country geographic characteristics in most surveys, we had too few geographic units of analysis to carry out quantitative analyses of other contextual factors.”
§ Socio-economic variations in the mental health treatment gap for people with anxiety, mood, and substance use disorders: Results from the WHO World Mental Health (WMH) Surveys > Limitations
plaindirectn = 25- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“We also broadly confirmed previous evidence that people with low SES have an especially low rate of treatment, although in the total sample this was true only for SMH treatment and income was inversely related to HS treatment, resulting in income being related more to sector of treatment than to whether or not treatment was received.”
§ Socio-economic variations in the mental health treatment gap for people with anxiety, mood, and substance use disorders: Results from the WHO World Mental Health (WMH) Surveys > Conclusions
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
In the paper
“validity, although good in the WMH surveys were it was assessed (Haro et al. 2006), was not assessed in all surveys and might have varied with SES.”
§ Socio-economic variations in the mental health treatment gap for people with anxiety, mood, and substance use disorders: Results from the WHO World Mental Health (WMH) Surveys > Limitations
What the sources say
- Not checked — no full text of the sourcecites Haro et al. 2006 source
hedgedcorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The significant associations of SES with treatment were most consistent in predicting SMH treatment, but they were less strong than anticipated.”
§ Socio-economic variations in the mental health treatment gap for people with anxiety, mood, and substance use disorders: Results from the WHO World Mental Health (WMH) Surveys > Conclusions
plaincorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“duration was not measured for the disorders that were assessed”
§ Socio-economic variations in the mental health treatment gap for people with anxiety, mood, and substance use disorders: Results from the WHO World Mental Health (WMH) Surveys > Limitations
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“First, the sample was limited in that the sample of countries was non-representative and the response rate varied widely across countries.”
§ Socio-economic variations in the mental health treatment gap for people with anxiety, mood, and substance use disorders: Results from the WHO World Mental Health (WMH) Surveys > Limitations
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“In addition, these self-reports only assessed number of visits rather than treatment quality.”
§ Socio-economic variations in the mental health treatment gap for people with anxiety, mood, and substance use disorders: Results from the WHO World Mental Health (WMH) Surveys > Limitations
plain- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: fails — The paper’s conclusions may not depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
The authors state this as an assumption.
For respondents with two disorders, the added predictive effect of each individual disorder is multiplicative.
“The incremental predictive effects of individual disorders among people with 2 disorders were then assumed to be multiplicative; that is, if the OR associated with Disorder X was 1.5, we would expect respondents with exactly 1 other disorder would have a 1.5 increased odds of obtaining treatment in the presence versus absence of Disorder X.”
The authors state this as an assumption.
The odds ratio for a given disorder is the same across all combinations of that disorder with exactly one other disorder.
“This specification imposed parsimony on the data by constraining the OR of Disorder X to be the same across all 11 combinations of Disorder X with exactly l other disorder”
The authors state this as an assumption.
The 3-way and higher-order interactions among disorders predicting treatment were subject to a constant multiplier that could be 1.0 or different from 1.0.
“The dummy variables for 3 and 4+ disorders imposed additional constraints by assuming that the 3-way and higher-order interactions among disorders predicting treatment were subject to a constant multiplier that could be 1.0 (i.e., the interactions were strictly multiplicative) or different from 1.0.”
The authors state this as an assumption.
The mechanisms by which income and education affect treatment are different.
“We considered it appropriate to include both, though, as the mechanisms involved in the two are presumably different.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“These barriers are more highly represented among low socioeconomic groups (7) further perpetuating a cycle of disadvantage.”
From The impact of digital interventions on help-seeking behaviour for mental health problems: a systematic literature review (2022) · cites this paper as [7]
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“In lower-middle-income countries only 13.7% of adults who met criteria for mental disorders received treatment, compared to 22.0% in upper-middle-income countries, and 36.8% in high-income countries (13).”
From Use of mental health services by children with mental disorders in two major cities in Brazil (2019) · cites this paper as [13]
In the citing paper
“Despite the availability of effective treatments for mental illness, there is a huge gap between the number of individuals who need mental health care, and those who receive treatment.”
In the citing paper
“The recent World Health Organization (WHO) World Mental Health Survey initiative reported that 86.3% of people with anxiety, mood or substance disorders in low or middle-income countries (LMICs) received no treatment in the past 12 months [1].”
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Rated minor: it would not touch a result — a value no result rests on, a p-value that stays on the same side of the significance level, or a conflict that is clerical, resolved elsewhere in the paper, or outside its own findings.
In the paper
§ Socio-economic variations in the mental health treatment gap for people with anxiety, mood, and substance use disorders: Results from the WHO World Mental Health (WMH) Surveys > Results > Interactions of SES with disorder severity, respondent SES, and country income level
“The significant association of education with SMH treatment in the total sample varied by disorder severity and country income, with significant ORs among respondents of lower education were in the range 0.6-0.7.”
§ Socio-economic variations in the mental health treatment gap for people with anxiety, mood, and substance use disorders: Results from the WHO World Mental Health (WMH) Surveys > Discussion
“The association of education with SMH treatment was stable across all levels of disorder severity and country income groups, with the significant association due to a comparatively high odds of treatment among people at the highest education level”
Citations
Cites
Kessler, R. C., & Üstün, T. B. (2004) · International Journal of Methods in Psychiatric Research · doi:10.1002/mpr.168 · Cited by 4,771 · cited 1×
“Mental disorders were assessed with the WHO Composite International Diagnostic Interview (CIDI) Version 3.0 (Kessler & Ustun, 2004), a fully-structured interview generating lifetime and 12-month prevalence estimates of common DSM-IV disorders.”
InfluentialSelf-citationPrevalence and Correlates of Bipolar Spectrum Disorder in the World Mental Health Survey Initiative
Merikangas, K. R., Jin, R., He, J.-P., Kessler, R. C., Lee, S., Sampson, N. A., Viana, M. C., Andrade, L. H., Hu, C., Karam, E. G., et al. (2011) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2011.12 · Cited by 2,627 · cited 1×
“As detailed elsewhere (Merikangas et al. 2011), our definition of the sub-threshold bipolar disorder includes both hypomania without a history of major depressive episode and sub-threshold hypomania with a history of major depressive episode.”
BackgroundSelf-citationEstimating the true global burden of mental illness
Vigo, D., Thornicroft, G., & Atun, R. (2016) · The Lancet Psychiatry · doi:10.1016/s2215-0366(15)00505-2 · Cited by 2,494 · cited 2×
“Although mental disorders are a leading cause of disability (World Health Organization, 2012; Whiteford et al. 2015; Vigo et al. 2016), only a minority of people with these disorders receives treatment (Wang et al.”
BackgroundSelf-citationWang, P. S., Aguilar-Gaxiola, S., Alonso, J., Angermeyer, M. C., Borges, G., Bromet, E. J., Bruffaerts, R., de Girolamo, G., de Graaf, R., Gureje, O., et al. (2007) · The Lancet · doi:10.1016/s0140-6736(07)61414-7 · Cited by 1,655
Self-citationTreatment gap in mental health care.
Abramowitz, M. Z., Greenberg, D., & Levav, I. (2008) · PubMed · Cited by 1,483
The treatment gap in mental health care.
(2004) · Europe PMC (PubMed Central) · Cited by 1,419
Introduction to Variance Estimation.
King, B. F., & Wolter, K. M. (1987) · Journal of the American Statistical Association · doi:10.2307/2289497 · Cited by 1,377
Barriers to mental health treatment: results from the WHO World Mental Health surveys
Andrade, L. H., Alonso, J., Mneimneh, Z., Wells, J. E., Al-Hamzawi, A., Borges, G., Bromet, E., Bruffaerts, R., de Girolamo, G., de Graaf, R., et al. (2014) · Psychological Medicine · doi:10.1017/s0033291713001943 · Cited by 1,289
Self-citationWhiteford, H. A., Ferrari, A. J., Degenhardt, L., Feigin, V., & Vos, T. (2015) · PLOS ONE · doi:10.1371/journal.pone.0116820 · Cited by 1,175 · cited 2×
“Although mental disorders are a leading cause of disability (World Health Organization, 2012; Whiteford et al. 2015; Vigo et al. 2016), only a minority of people with these disorders receives treatment (Wang et al.”
BackgroundHaro, J. M., Arbabzadeh-Bouchez, S., Brugha, T. S., De Girolamo, G., Guyer, M. E., Jin, R., Lepine, J. P., Mazzi, F., Reneses, B., Vilagut, G., et al. (2006) · International Journal of Methods in Psychiatric Research · doi:10.1002/mpr.196 · Cited by 1,082 · cited 10×
“…limited in that some severe disorders, such as schizophrenia, were not assessed, duration was not measured for the disorders that were assessed, and validity, although good in the WMH surveys where it was assessed (Haro et al. 2006), was not assessed in all surveys and might have varied with SES.”
BackgroundMethodResultInfluentialSelf-citation
Research works printed but not linked: 6
- 2009, World Bank List of Economies (July 2009)
- 2002, SUDAAN: Professional Software for Survey Data Analysis [Computer Program]
- 2016, Standard Definitions: Final Dispositions of Case Codes and Outcome Rates for Surveys
- First, 2002, Structured Clinical Interview for DSM-IV-TR Axis I Disorders, Research Version, Non-Patient Edition. (SCID-I/NP)
- Harkness, 2008, The WHO World Mental Health Surveys: Global Perspectives on the Epidemiology of Mental Disorders, 91
- 2012, Global Burden of Mental Disorders and the Need for A Comprehensive, Coordinated Response From Health and Social Sectors at the Country Level
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Sorted by citations
Items 201–300 of 754
The influence of perceived stress and income on mental health in China and Germany
Li, R., Liu, S., Huang, C., Darabi, D., Zhao, M., & Heinzel, S. (2023) · Heliyon · doi:10.1016/j.heliyon.2023.e17344 · Cited by 19
Kazdin, A. E., Harris, M., Hwang, I. H., Sampson, N. A., Stein, D. J., Viana, M. C., Vigo, D., Wu, C., Aguilar‐Gaxiola, S., Alonso, J., et al. (2023) · Psychological Medicine · doi:10.1017/s0033291723002507 · Cited by 11
“…and is % for all the other rows. b Including separated, divorced, and widowed. c In quartiles defined by country-specific distributions (see Evans-Lacko et al., 2018 for details). d Low was defined as less than 50% of the country-specific median, low-average as between low and the…”
BackgroundSelf-citationDepression in nursing students during the COVID-19 pandemic: Systematic review and meta-analysis
Quesada-Puga, C., Cañadas, G. R., Gómez‐Urquiza, J. L., Aguayo‐Estremera, R., Ortega‐Campos, E., Romero‐Béjar, J. L., & la Fuente, G. A. C. (2024) · PLoS ONE · doi:10.1371/journal.pone.0304900 · Cited by 15
“In non-developed countries, more than 75% of those affected do not receive treatment [5] and it is currently one of the leading causes of disability in developing countries [6].”
BackgroundHongo, M., Oshima, F., Nishinaka, H., Seto, M., Ohtani, T., & Shimizu, E. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.760184 · Cited by 10
Dunn, N. E., Walton, C. J., Matsunaga, E., Williams, C., & Dimeff, L. A. (2022) · Telemedicine Journal and e-Health · doi:10.1089/tmj.2022.0205 · Cited by 11
“…are prevalent in the United States and globally, and that many individuals who experience severe mental health problems do not receive treatment, 54,55 the potential of telehealth to increase access to EBPs is noteworthy and should be taken into consideration as treaters and policymakers envision…”
Thomas, E. B. K., Sagorac Gruichich, T., Maronge, J. M., Hoel, S., Victory, A., Stowe, Z. N., & Cochran, A. (2023) · JMIR Mental Health · doi:10.2196/43065 · Cited by 9
Effects of Physical Activity and Circadian Rhythm on SCL-90 Scores by Factors among College Students
Li, H., & Zhang, Y. (2023) · Behavioral Sciences · doi:10.3390/bs13070606 · Cited by 12
“) as economic and medical technology develops, 75% of patients in low- and middle-income areas still do not receive treatment [12].”
BackgroundTaking stock to move forward: Where the field of developmental psychopathology might be heading
Fonagy, P., Luyten, P., Allison, E., & Campbell, C. (2024) · Development and Psychopathology · doi:10.1017/s0954579424000312 · Cited by 9
Jain, M., Jain, S. K., Jain, A., & Garg, B. (2024) · IEEE Transactions on Computational Social Systems · doi:10.1109/tcss.2024.3402689 · Cited by 12
Mental Health Care Models in Low- and Middle-Income Countries
Nadkarni, A., Hanlon, C., & Patel, V. (2024) · Springer eBooks · doi:10.1007/978-3-030-51366-5_156 · Cited by 13
Tran, T., Tan, Y. Z., Lin, S., Zhao, F., Ng, Y. S., Ma, D., Ko, J., & Balan, R. K. (2024) · Archives of Gerontology and Geriatrics · doi:10.1016/j.archger.2024.105647 · Cited by 12
Evans-Lacko, S. E., Gilabert, P. F., & Knapp, M. R. J. (2024) · Social Science & Medicine · doi:10.1016/j.socscimed.2024.117385 · Cited by 16
Self-citationPereira, C. F., de Vargas, D., & Beeber, L. S. (2022) · Issues in Mental Health Nursing · doi:10.1080/01612840.2022.2059602 · Cited by 10
Cheng, Y., Yu, Q., Li, W., et al. (2022) · Frontiers in Public Health · doi:10.3389/fpubh.2022.934940 · Cited by 10
“Although there are effective treatments for mental disorders, more than 75% of the patients in low- and middle-income countries do not have access to treatment (3).”
Backgroundde Lima, B. R. F., Patriota, L. L. D. S., Marinho, A. D. O., da Costa, J. A., Napoleão, T. H., da Rosa, M. M., & Paiva, P. M. G. (2023) · Neuroscience Letters · doi:10.1016/j.neulet.2023.137092 · Cited by 12
Alonzo, D. M. (2023) · Social Psychiatry and Psychiatric Epidemiology · doi:10.1007/s00127-022-02400-0 · Cited by 10
Resistance training in depression
Augustin, N., Bendau, A., Heuer, S., Kaminski, J., & Ströhle, A. (2023) · Deutsches Ärzteblatt international · doi:10.3238/arztebl.m2023.0196 · Cited by 10
Wu, X., Wang, Z., Zhang, H., Yuan, P., Yu, Q., Zhou, Z., & Zhao, Q. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.600268 · Cited by 11
Kohl, F., Angerer, P., & Weber, J. (2023) · BMC Public Health · doi:10.1186/s12889-023-15255-0 · Cited by 11
“Inadequate treatment can lead to high burdens for individuals as well as to high costs for companies and social security systems [5, 8] due to early retirement, long periods of work incapacity and reduced productivity at the workplace [9–12].”
BackgroundSalum, G. A., Leite, L. D. S., dos Santos, S. J. E., Mazzini, G. D. S., Baeza, F. L. C., Spanemberg, L., Evans-Lacko, S. E., Sato, J. R., do Nascimento, D. M., Frank, T., et al. (2020) · Trends in Psychiatry and Psychotherapy · doi:10.1590/2237-6089-2018-0115 · Cited by 10
Self-citationEffectiveness of digital interventions for eight mental disorders: A meta-analytic synthesis
Harrer, M., Miguel, C., Tong, L., Kuper, P., Sprenger, A. A., Furukawa, Y., Wang, Y., van Ballegooijen, W., Čihařová, M., Panagiotopoulou, O. M., et al. (2025) · Internet Interventions · doi:10.1016/j.invent.2025.100860 · Cited by 10
Idris, A., Akhir, N. M., Mohamad, M. S., & Sarnon, N. (2023) · Behavioral Sciences · doi:10.3390/bs13020151 · Cited by 9
“The reasons behind these situations are due to the lack of resources, lack of trained health care providers, and social stigma associated with mental illness [6].”
BackgroundWilson, S. (2023) · Journal of Psychopathology and Clinical Science · doi:10.1037/abn0000871 · Cited by 42
Mortier, P., Vilagut, G., García‐Mieres, H., Alayo, I., Ferrer, M., Amigo, F., Aragonès, E., Peña, A. A., Asúnsolo, Á., Campos, M., et al. (2024) · Psychiatry Research · doi:10.1016/j.psychres.2024.115800 · Cited by 12
Self-citationLahoud, C., Merhy, G., Kahwaji, G.-J., Lahoud, R., Hallit, S. R., Fekih‐Romdhane, F., & Mattar, H. (2024) · Psychological Reports · doi:10.1177/00332941241251457 · Cited by 9
Wu, Y., Hu, T., Zheng, H., Feng, J., Huang, C., Zhou, X.-N., Wang, W., & Jiang, C. (2024) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2024.150870 · Cited by 9
Phosphodiesterase 4 Inhibition in Neuropsychiatric Disorders Associated with Alzheimer’s Disease
Chen, J., Zhu, Z., Xu, F., Dou, B., Sheng, Z., & Xu, Y. (2025) · Cells · doi:10.3390/cells14030164 · Cited by 10
The impact of economic crisis on the mental health of children and adolescents: A systematic review
Feghali, R., Hachem, C. E., Bakhos, G., Zarzour, M., & Khalil, R. B. (2025) · Asian Journal of Psychiatry · doi:10.1016/j.ajp.2025.104613 · Cited by 13
Yang, S., Lin, L., & Zhang, X. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.921621 · Cited by 12
“Evans-Lacko believes that the treatment gap between the number of people with mental disorders and the number of people receiving treatment is a major public health challenge (Evans-Lacko et al., 2017).”
BackgroundBobbili, S. J., Carrara, B. S., Fernandes, R. H. H., & Ventura, C. A. A. (2022) · Primary Health Care Research & Development · doi:10.1017/s1463423622000251 · Cited by 11
Encina, E. P., Agrest, M., Tapia‐Muñoz, T., Vidal-Zamora, I., Ardila-Gómez, S. E., Alvarado, R., Leiderman, E. A., & Reavley, N. J. (2023) · BMC Psychiatry · doi:10.1186/s12888-023-04661-8 · Cited by 9
“7% of people in low-and middle-income countries receive treatment for depression [20].”
BackgroundPhysical activity levels affect mental health and behavior in men
Carreira-Míguez, M., & Clemente‐Suárez, V. J. (2023) · Journal of Men s Health · doi:10.22514/jomh.2023.048 · Cited by 9
“More than 75% of affected people in low- and middle-income countries do not receive any treatment [10], despite the existence of known and effective treatments for mental disorders.”
BackgroundFeasibility and Acceptability of a Novel Online Program for Mental Health Carers
Fitzgeraldson, E., Triandafilidis, Z., Franklin, Y., Palazzi, K. L., KAY‐LAMBKIN, F. J., & Fitzpatrick, S. (2023) · International journal of psychological research · doi:10.21500/20112084.5733 · Cited by 8
“Despite thehighprevalenceofpeople livingwithmental illhealth, factors such as poor mental health literacy, access to treatment, and mental health-related stigma remain barriers to help-seeking (Australian Bureau of Statistics, 2007; Evans-Lacko et al., 2018).”
BackgroundA Multimodal Depression Consultation Dataset of Speech and Text with HAMD-17 Assessments
Cao, P., Zhang, Y., Zhang, C., Chen, W., Liu, Y., Xu, S., Xu, M., Jin, W., Xu, J., Wang, D., et al. (2025) · Scientific Data · doi:10.1038/s41597-025-05817-9 · Cited by 16
Persson, M. (2023) · Plastic and Aesthetic Research · doi:10.20517/2347-9264.2022.90 · Cited by 8
Therapy Chatbot Powered by Artificial Intelligence: A Cognitive Behavioral Approach
Shetty, M., Shah, P., Shah, K., Shinde, V., & Nehete, S. P. (2023) · International Conference in Advances in Power, Signal, and Information Technology (APSIT) · doi:10.1109/apsit58554.2023.10201725 · Cited by 8
“Lack of finances, lack of skilled healthcare workers, and the societal stigma associated with mental diseases are all obstacles to providing efficient care [3].”
BackgroundLee, Y. H., Kim, H., Hwang, J., & Noh, S. (2024) · JMIR mhealth and uhealth · doi:10.2196/55578 · Cited by 9
“Despite the availability of effective treatments for mental disorders, inadequate investment in mental health care, limited availability of trained health care professionals, and social stigma surrounding mental disorders contribute to barriers that impede access to effective care [7,8].”
BackgroundDhara, S., Thakur, J., Pandey, N., Mozumdar, A., & Roy, S. (2024) · PLoS ONE · doi:10.1371/journal.pone.0306071 · Cited by 13
“A poor mental state could make a person suffer profoundly either in terms of relation with family and friends, performance at work, substance abuse, non-suicidal self-injury and in the worst scenario, suicide, or it may lead to other health issues like cardiovascular morbidity [1, 5–7].”
BackgroundConstruct Validity Study of the Turkish Form of the Short Beck Depression Inventory
Özdemir, H. D., & Dağdeviren, H. N. (2024) · Eurasian Journal of Family Medicine · doi:10.33880/ejfm.2024130203 · Cited by 8
Roxo, L., Pachankis, J. E., & Bränström, R. (2025) · Social Psychiatry and Psychiatric Epidemiology · doi:10.1007/s00127-025-02866-8 · Cited by 10
“Previous research has shown an association between low income and barriers related to service accessibility [33 ]; however, some studies with population-based samples have not confirmed income-related inequali - ties in unmet mental health care needs [37].”
Advancements in Nanotherapeutics for the Treatment of Depression via Intranasal Pathway: A Review
Patel, M. B., Minglani, V. V., Vaddadi, H., Jha, L. L., Patel, L., Huanbutta, K., & Sangnim, T. (2025) · International Journal of Nanomedicine · doi:10.2147/ijn.s525759 · Cited by 10
Maltoni, J., Neufeld, C. B., Aminoff, V., & Andersson, G. (2025) · Internet Interventions · doi:10.1016/j.invent.2025.100854 · Cited by 9
Gureje, O., Guzman, M. L. R. D., Khaled, S. M., Ni, M. Y., Woodruff, P. W. R., Reed, G. M., Wong, C. S. M., Leung, C. M. C., Crisostomo, M. E., Borowski, S. C., et al. (2025) · World Psychiatry · doi:10.1002/wps.21353 · Cited by 10
Self-citationMalamud, J., Lewis, G., Moutoussis, M., Duffy, L., Bone, J. K., Srinivasan, R., Lewis, G., & Huys, Q. J. M. (2024) · Psychological Medicine · doi:10.1017/s0033291724000837 · Cited by 8
van den Broek, M., Agondeze, S., Greene, M. C., Kasujja, R., Guevara, A. F., Tukahiirwa, R. K., Kohrt, B. A., & Jordans, M. J. D. (2024) · The Lancet Child & Adolescent Health · doi:10.1016/s2352-4642(24)00130-5 · Cited by 8
Lamichhane, B., Moukaddam, N. J., & Sabharwal, A. (2024) · Scientific Reports · doi:10.1038/s41598-024-69739-z · Cited by 16
Fillenbaum, G. G., Blay, S. L., Mello, M. F., Quintana, M. I., Mari, J. D. J., Bressan, R. A., & Andreoli, S. B. (2019) · Journal of Affective Disorders · doi:10.1016/j.jad.2019.03.010 · Cited by 8
“Overall, however, only a small proportion of individuals with anxiety, depression, and their comorbidity receive treatment, and treatment when received may be inadequate (Alonso et al., 2007; Evans-Lacko et al., 2018; Thornicroft et al., 2017; Wang PS et al., 2007).”
BackgroundZhang, G., Tang, F., Liang, J., & Wang, P. (2021) · International Journal for Equity in Health · doi:10.1186/s12939-021-01517-z · Cited by 8
Pitkänen, J., Remes, H., Aaltonen, M., & Martikainen, P. (2022) · BMC Psychiatry · doi:10.1186/s12888-021-03654-9 · Cited by 7
“A common finding in healthcare service use literature is that higher levels of socioeconomic resources increase the use of specialised services but individuals in lower positions use equally or more general healthcare [8, 9, 11, 12, 21].”
BackgroundWenhui, Z., Li, W., Jiang, J., Wang, D., Mao, X., Zhang, J., Zhang, X., Chang, J., Yao, P., Yang, X., et al. (2023) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2023.1071327 · Cited by 8
“Approximately 280 million people worldwide are diagnosed with depression (Evans-Lacko et al., 2017).”
BackgroundA theory of change for community-initiated mental health care in the United States
Breuer, E., Morris, A., Blanke, L., Pearsall, M., Rodriguez, R., Miller, B. F., Naslund, J. A., Saxena, S., Balsari, S., & Patel, V. (2023) · Cambridge Prisms Global Mental Health · doi:10.1017/gmh.2023.49 · Cited by 10
Shi, X., Chao, Y., & Wu, D. (2021) · Journal of Healthcare Engineering · doi:10.1155/2021/1603117 · Cited by 8
“In Internet communication, netizens can use some technical means, such as human flesh search, to dig out the true identity of netizens, expose others’ privacy through online channels, and create conditions for language violence and personal attacks [19, 20].”
BackgroundRetractedAljafen, B. N., Alneseyan, R. A., Muayqil, T. A., AlKhateeb, M., Aldosari, M., Alsermani, A., Alnakhli, L., Althomali, R. K., Alnami, R. E., AlQahtani, R., et al. (2024) · Epilepsy & Behavior · doi:10.1016/j.yebeh.2024.109782 · Cited by 8
Melicherova, U., Schott, T., Köllner, V., & Hoyer, J. (2024) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2024.1229380 · Cited by 7
Zarazúa, S., Vicente-Martínez, J. G., Pinos‐Rodríguez, J. M., & Arévalo-Villalobos, J. I. (2024) · Basic & Clinical Pharmacology & Toxicology · doi:10.1111/bcpt.14089 · Cited by 7
Kumar, A., K., B. J., Shanmukh, P., et al. (2024) · IEEE Sensors Journal · doi:10.1109/jsen.2024.3506984 · Cited by 7
“However, 75% of individuals in low-and middle-income countries never receive treatment due to limited resources for stress-level detection, insufficient investment in mental health services, a lack of trained healthcare professionals, and the social stigma associated with mental stress [6].”
The association of vitamin deficiency with depression risk in late-life depression: a review
Gao, Y., Song, X.-N., Wen, Z.-P., Hu, J.-Z., Du, X.-Z., Zhang, J., & Liu, S. (2025) · Frontiers in Nutrition · doi:10.3389/fnut.2025.1551375 · Cited by 7
Ebetürk, I., Kim, J., & Soysal, Y. N. (2025) · Social Forces · doi:10.1093/sf/soaf153 · Cited by 9
Trelles, A., Fontaines-Ruíz, T., & Rojo, A. P. (2025) · Behavioral Sciences · doi:10.3390/bs15111476 · Cited by 14
“It is estimated that approximately 3.8% of the population lives with this condition, which is more common in women (Evans-Lacko et al., 2018).”
InfluentialDai, X., Leng, L. L., Liu, Y., Huang, Y., & Wong, D. F. K. (2025) · BMC Psychiatry · doi:10.1186/s12888-025-07671-w · Cited by 15
“Epidemiological data [2] indicated that one in three people would develop a mental health disorder at some point in their lifetime, yet only 36.8% of affected individuals in high-income countries received mental health care, and the rate dropped to 13.7% in lower-middle-income countries [3].”
InfluentialHarding, D., Pitcairn, C. F. M., Machado, D. B., Castro-de-Araujo, L. F. S., Millett, C. J., & Hone, T. (2022) · PLOS Global Public Health · doi:10.1371/journal.pgph.0001207 · Cited by 7
“Despite this, disparities between those needing and those receiving treatment for depression are a global challenge, with the highest disparities in low- and middle-income countries (LMICs) [6].”
BackgroundDigital Intervention Barriers Scale–7 (DIBS-7): Development, Evaluation, and Preliminary Validation
Ramos, G., Montoya, A. K., Hammons, H. R., Smith, D. A., Chavira, D. A., & Rith‐Najarian, L. (2023) · JMIR Formative Research · doi:10.2196/40509 · Cited by 6
“Despite the ubiquity of mental disorders worldwide, unmet mental health need exceeds 60% in affluent countries and nearly reaches 90% in low-income countries [1].”
BackgroundGómez-Cambronero, Á., Casteleyn, S., Bretón-López, J. M., García‐Palacios, A., & Mira, A. (2023) · Internet Interventions · doi:10.1016/j.invent.2023.100624 · Cited by 9
Zhou, L., Ruan, C., Li, N., Hou, D., Weirich, C., & Lin, Y. (2024) · LEUKOS The Journal of the Illuminating Engineering Society of North America · doi:10.1080/15502724.2023.2293468 · Cited by 7
“Psychological therapy is often the primary approach, and exploring innovative intervention measures can contribute to advancing the treat-ment of depressive tendencies (Evans-Lacko et al. 2018).”
Zero-shot explainable mental health analysis on social media by incorporating mental scales
Li, W., Zhu, Y., Lin, X., Li, M., Jiang, Z., & Zeng, Z. (2024) · Companion Proceedings of the ACM Web Conference 2024 · doi:10.1145/3589335.3651584 · Cited by 7
Zoicas, I., Licht, C., Mühle, C., & Kornhuber, J. (2024) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2024.105726 · Cited by 7
Kim, S.-I., Kim, S. M., Park, S. J., Song, J., Lee, J., Kim, K. H., & Park, S. M. (2024) · BMC Public Health · doi:10.1186/s12889-024-18337-9 · Cited by 7
“The World Health Organization has reported that depression is gradually increasing worldwide and is expected to become the most burdensome disease across humanity by 2030 [2].”
BackgroundHRV changes in young adults with depression
Kumar, C., Sakshi, P., Sinha, N., SUNITA, S., & Kumar, T. (2024) · Journal of Family Medicine and Primary Care · doi:10.4103/jfmpc.jfmpc_926_23 · Cited by 7
“[5] For most people, 18–25 years is a transitional period when they can look forward to education, financial security, marriage and parenthood.”
BackgroundHarris, M., Kazdin, A. E., Munthali, R. J., Vigo, D., Hwang, I. H., Sampson, N. A., Al-Hamzawi, A., Alonso, J., Andrade, L. H., Borges, G. L. G., et al. (2022) · International Journal of Mental Health Systems · doi:10.1186/s13033-022-00516-z · Cited by 7
“Across countries where treatment rates have been measured, up to one-third of adults with these disorders see a provider for treatment in a year [3].”
BackgroundSelf-citationRoohafza, H., Noohi, F., Hosseini, S. G., Alemzadeh‐Ansari, M. J., Bagherieh, S., Marateb, H. R., Mansourian, M., Mousavi, A. F., Seyedhosseini, M., Farshidi, H., et al. (2022) · Current Problems in Cardiology · doi:10.1016/j.cpcardiol.2022.101158 · Cited by 7
Baranauskas, M., Kupčiūnaitė, I., & Stukas, R. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19159725 · Cited by 7
“Furthermore, although effective treatments for mental disorders have been reported, more than 75% of people in low- and middle-income countries are at a high risk of being unrecognised and receiving no treatment [80].”
BackgroundThe silent epidemic; the toll of mental health in occupied Palestine
Shukri, S., Holmes, D. I. R., Shukri, N., et al. (2023) · Palestinian medical and pharmaceutical journal/Palestinian medical & pharmaceutical journal · doi:10.59049/2790-0231.1141 · Cited by 7
van der Wal, J. M., Arjadi, R., Nauta, M. H., Burger, H., & Bockting, C. (2020) · Behaviour Research and Therapy · doi:10.1016/j.brat.2020.103589 · Cited by 7
Verhey, R., Chitiyo, C., Mboweni, S. N., Chiriseri, E., Chibanda, D., Healey, A., Wagenaar, B. H., & Araya, R. (2021) · BMJ Open · doi:10.1136/bmjopen-2020-045481 · Cited by 7
Schöler, D., Kostev, K., Demir, M., Luedde, M., Konrad, M., Luedde, T., Roderburg, C., & Loosen, S. H. (2022) · Journal of Clinical Medicine · doi:10.3390/jcm11082214 · Cited by 7
“More than 75% of people with depression in low- and middle-income countries receive no treatment, and still, around 63% in high-income countries receive no treatment [21].”
BackgroundFactors associated with approaching Pilot Peer Support: a cross-sectional study
Bråstad, B., Jonsäll-Harris, R., Melin, M., & Folke, F. (2024) · Occupational Medicine · doi:10.1093/occmed/kqae033 · Cited by 6
“Depression and anxiety are among the leading causes of disability worldwide, yet a minority of affected individuals ever seek help [1].”
BackgroundA graph-based method for automatic graded diagnosis of depression using EEG signals
Ren, S., & Song, J. (2024) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2024.106973 · Cited by 8
Association of meeting 24-hour movement guidelines with anxiety and depressive symptoms in adults
Tebar, W. R., Aguilar, B. A. S., Delfino, L. D., Beretta, V. S., Brazo‐Sayavera, J., da Silva, D. R. P., da Silva, C. C. M., Ferrari, G., Werneck, A. O., & Christófaro, D. G. D. (2024) · BMC Public Health · doi:10.1186/s12889-024-21038-y · Cited by 7
“However, important gaps remain, as most of the previous evidence are composed of non-probabilistic samples from high-income countries, which received more treat-ment for mental health than low-and middle-income countries [28].”
Bridging the Mental Health Treatment Gap in India: Opportunities and Challenges: A Narrative Review
Munikrishnappa, D., Majumder, J., Kalita, M., Shivarudraiah, M., Saha, I., & Chakrabarti, A. (2024) · Journal of Mental Health and Human Behaviour · doi:10.4103/jmhhb.jmhhb_167_24 · Cited by 7
Wu, L., Deng, Y., Yu, L., Peng, W., Li, Y., Feng, Y., Chen, L., Huang, P., & Chen, B. (2025) · CNS Neuroscience & Therapeutics · doi:10.1111/cns.70375 · Cited by 7
Zhang, J., Zhang, C., Yuchi, Y., et al. (2025) · Journal of Affective Disorders · doi:10.1016/j.jad.2025.119522 · Cited by 6
Attention-based multi-scale convolution and conformer for EEG-based depression detection
Yan, Z., Wan, Y., Pu, X., Han, X., Zhao, M., Wu, H., Li, W., He, X., & Zheng, Y. (2025) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2025.1584474 · Cited by 6
Reifels, L., & Dückers, M. (2023) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph20115923 · Cited by 9
Selinheimo, S., Gluschkoff, K., Turunen, J., Mattila‐Holappa, P., Kausto, J., & Väänänen, A. (2023) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2023.06.001 · Cited by 7
King, D., Gronholm, P. C., Knapp, M. R. J., Hoffmann, M. S., Bonin, E., Brimblecombe, N., Kadel, R., Maughan, B., O’Shea, N., Richards, M., et al. (2023) · Social Psychiatry and Psychiatric Epidemiology · doi:10.1007/s00127-023-02507-y · Cited by 6
“Only a minority of people with mental health problems seek psychiatric treatment but may still seek GP support for other problems or problems which manifest as medically unexplained symptoms [13].”
BackgroundSelf-citationGaze Behavior based Depression Severity Estimation
Shu, T., Zhang, F., & Sun, X. N. (2023) · IEEE International Conference on Pattern Recognition and Machine Learning (PRML) · doi:10.1109/prml59573.2023.10348319 · Cited by 7
“Althougheffective treatments for mental disorders exist, more than 75% of patients in low-and middle-income countries do not receive treatment [3], and recovery for people with depression takes more time.”
BackgroundFarewell, C. V., Shreedar, P., Brogden, D., & Puma, J. E. (2024) · Journal of Public Mental Health · doi:10.1108/jpmh-09-2023-0080 · Cited by 10
Perspectives in treatment-resistant depression: esketamine and electroconvulsive therapy
Baldinger, P., Spies, M., Bozic, I., Kasper, S. F., Rujescu, D., & Frey, R. (2024) · Wiener klinische Wochenschrift · doi:10.1007/s00508-024-02358-w · Cited by 8
“The MDD remains largely under-treated, even though it affects an estimated number of 280 million adults globally [1].”
Shang, Z., Fang, C., Luo, G., Lang, X., & Zhang, X. (2024) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2024.06.042 · Cited by 6
Who gets treated for an eating disorder? Implications for inference based on clinical populations
Field, A. E., Ziobrowski, H. N., Eddy, K. T., Sonneville, K. R., & Richmond, T. K. (2024) · BMC Public Health · doi:10.1186/s12889-024-19283-2 · Cited by 11
“[ 1–3] Reasons for not seeking treatment include cost and other structural barriers, as well as attitudinal barriers.”
BackgroundTao, L., Yao, C., Wang, S., Ye, Y.-M., Tu, Z., Jiang, X., Xu, L., Shan, L., Liu, Z., & Yu, P. (2024) · Bioorganic & Medicinal Chemistry · doi:10.1016/j.bmc.2024.117941 · Cited by 7
Villarreal‐Zegarra, D., Al‐kassab‐Córdova, A., Otazú-Alfaro, S., & Cabieses, B., V (2024) · SSM - Population Health · doi:10.1016/j.ssmph.2024.101724 · Cited by 7
Efficacy of swarm-based neural networks in automated depression detection
Atta, A., Elsayad, D., Ezzat, D., et al. (2025) · Scientific Reports · doi:10.1038/s41598-025-09414-z · Cited by 6
IDIAP Submission@LT-EDI-ACL2022: Detecting Signs of Depression from Social Media Text
Singh, M., & Motlíček, P. (2022) · Workshop on Language Technology for Equality, Diversity, Inclusion (LT-EDI) · doi:10.18653/v1/2022.ltedi-1.56 · Cited by 6
“Detecting depression is essential as it has to be observed and treated at an early stage to avoid severe consequences (Evans-Lacko et al., 2018; Losada et al., 2017).”
BackgroundRasaei, N., Ghaffarian-Ensaf, R., Shiraseb, F., Abaj, F., Gholami, F., Clark, C. C. T., & Mirzaei, K. (2022) · BMC Women s Health · doi:10.1186/s12905-022-01870-3 · Cited by 6
“4% of the world’s population, which is a significant leading cause of disease burden [3]; furthermore, Open Access”
BackgroundRemes, H., Carvajal, M. P., Peltonen, R., Martikainen, P., & Goisis, A. (2022) · European Journal of Population · doi:10.1007/s10680-022-09623-6 · Cited by 8
“MAR parents are, on average, more advantaged, which is associated with a higher probability of health care use, even in a country like Finland with extensive, highly state-subsidized public health care (Blomgren & Virta, 2020; Evans-Lacko et al., 2018; Hodgkinson et al., 2017).”
BackgroundPark, S., Cubillos, L., Martínez‐Camblor, P., Bartels, S. M., Torrey, W. C., John, D. T., Cepeda, M., Bell, K. R., Castro, S., Suárez‐Obando, F., et al. (2023) · Psychiatric Services · doi:10.1176/appi.ps.20220267 · Cited by 6
Guo, L., Li, J., White, H., Xu, Z., Ren, J., Huang, X., Chen, Y., & Yang, K. (2023) · Campbell Systematic Reviews · doi:10.1002/cl2.1308 · Cited by 5
Parasuraman, R., Jayamurali, D., Manoharan, N., & Govindarajulu, S. N. (2023) · Protein and Peptide Letters · doi:10.2174/0929866530666230419093531 · Cited by 6
Li, Q., Wang, X., Wong, S. Y. S., & Yang, X. (2023) · Journal of Affective Disorders · doi:10.1016/j.jad.2023.05.083 · Cited by 6
Metadata
- Authors
- Evans-Lacko, S., Aguilar-Gaxiola, S., Al-Hamzawi, A., Alonso, J., Benjet, C., Bruffaerts, R., Chiu, W. T., Florescu, S., de Girolamo, G., Gureje, O., Haro, J. M., He, Y., Hu, C., Karam, E. G., Kawakami, N., Lee, S., Lund, C., Kovess-Masfety, V., Levinson, D., Navarro-Mateu, F., Pennell, B. E., Sampson, N. A., Scott, K. M., Tachimori, H., ten Have, M., Viana, M. C., Williams, D. R., Wojtyniak, B. J., Zarkov, Z., Kessler, R. C., Chatterji, S., & Thornicroft, G.
- Affiliations
- King's College London (GB)
- University of Al-Qadisiyah (IQ)
- Universitat Pompeu Fabra (ES)
- Instituto Nacional de Psiquiatría Ramón de la Fuente Muñiz (MX)
- KU Leuven (BE)
- Harvard University (US)
- National School of Public Health, Management and Professional Development (RO)
- University College Hospital, Ibadan (NG)
- Centro de Investigación Biomédica en Red de Salud Mental (ES)
- Shanghai Jiao Tong University (CN)
- Shenzhen KangNing Hospital (CN)
- University of Balamand (LB)
- The University of Tokyo (JP)
- Chinese University of Hong Kong (HK)
- University of Cape Town (ZA)
- Israel Ministry of Health (IL)
- University of Michigan (US)
- University of Otago (NZ)
- National Center of Neurology and Psychiatry (JP)
- Universidade Federal do Espírito Santo (BR)
- Narodowy Instytut Zdrowia Publicznego PZH – Państwowy Instytut Badawczy (PL)
- National Center of Public Health and Analyses (BG)
- World Health Organization (CH)
- Corresponding author
- Kessler, R. C.
- ORCID
- Venue
- Psychological Medicine
- Publisher
- Cambridge University Press (CUP)
- Published
- 2017-11-27
- Volume
- 48
- Issue
- 9
- Pages
- 1560-1571
- ISSN
- 0033-2917 (ISSN-L)
- 1469-8978
- PMC
- PMC6878971
- OpenAlex
- W2766194567
- Semantic Scholar
- d18855ad1dcd6dbf240bfdef5f70607523fa0ee3
- Cited by
- 781
- References
- 35
- Citations by year
- 2026: 110 · 2025: 164 · 2024: 179 · 2023: 145 · 2022: 123 · 2021: 26 · 2020: 18 · 2019: 10 · 2018: 4
- FWCI
- 12.53
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Psychological Medicine (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- RECERCAT (Consorci de Serveis Universitaris de Catalunya) (acceptedVersion)
- London School of Economics and Political Science Research Online (London School of Economics and Political Science) (submittedVersion)
- London School of Economics and Political Science Theses Online (London School of Economics and Political Science) (submittedVersion)
- Dipòsit Digital de la Universitat de Barcelona (Universitat de Barcelona) (submittedVersion, public-domain)
- Research Portal (King's College London) (submittedVersion, other-oa)
- University of Groningen research database (University of Groningen / Centre for Information Technology) (submittedVersion, other-oa)
- Repositori digital de la UPF (Universitat Pompeu Fabra) (submittedVersion)
- Funders
- Robert Wood Johnson Foundation (044708, Grant 044708)
- John D. and Catherine T. MacArthur Foundation (R01 DA016558, R13-MH066849)
- John W. Alden Trust
- Bristol-Myers Squibb
- Eli Lilly and Company
- Pfizer
- AstraZeneca
- GlaxoSmithKline
- World Health Organization
- University of Michigan
- South London and Maudsley NHS Foundation Trust
- King's College Hospital NHS Foundation Trust
- Universidad CES
- National Institute for Health and Care Research (FP7/2007–2013)
- King's College London
- European Commission (EAHC 20081308, 20081308, 2007–2013, FP7 2007-2013, QLG5–1999-01042, SANCO2004123, 2004123, FP7/2007)
- Public Health Agency
- Fundação de Amparo à Pesquisa do Estado de São Paulo (03/00204-3, 03/00204?)
- Generalitat de Catalunya (01042)
- Bundesministerium für Gesundheit
- National Insurance Institute of Israel
- Ministry of Health, Labour and Welfare (H25-SEISHIN-IPPAN-006, H13-SHOGAI-023)
- Universidade de Lisboa
- Ministerio de Ciencia y Tecnología (SAF 2000 158-CE)
- Fundación para la Formación e Investigación Sanitarias de la Región de Murcia
- Servicio Murciano de Salud
- Regione Piemonte (00/0028)
- Fakultet Medicinskih Nauka, Univerziteta U Kragujevcu
- Servier
- H. Lundbeck A/S
- Fundação Champalimaud (R01 MH070884)
- Ministerio de Salud
- Ministerstwo Zdrowia
- National Institutes of Health (5r13mh066849-04, 5r01mh069864-04, 5r01mh070884-05)
- Substance Abuse and Mental Health Services Administration
- U.S. Public Health Service (R01-DA016558, R13‐MH066849, R01- MH069864)
- Pfizer Foundation (R01‐MH069864, R01-DA016558, R13-MH066849, R03-TW006481)
- Pan American Health Organization
- Executive Agency for Health and Consumers
- Fundação para a Ciência e a Tecnologia
- Instituto de Salud Carlos III (CB06/02/0046, RETICS RD06/0011, RD06/0011, FIS 00/0028, CIBER CB06/02/0046)
- Norway Grants
- Consejería de Sanidad y Política Social, Comunidad Autónoma de la Región de Murcia
- Departament de Salut, Generalitat de Catalunya
- National Institute of Mental Health (R13-MH-066849, R01‐MH070884, R01MH061905, R01MH059575, MH60220, MH070884, U01MH060220, R01‐MH069864)
- National Institute on Drug Abuse (R01DA016558)
- Fogarty International Center (FIRCA R03TW006481, R03TW006481)
- FP7 Ideas: European Research Council (337673)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Mental Health Treatment and Access
- Social Sciences › Health › Health disparities and outcomes
- Social Sciences › Psychology › Clinical Psychology › Migration, Health and Trauma
- Keywords
- mental health treatment gap, socioeconomic status, anxiety disorders, mood disorders, substance use disorders, income, mental health services, financial barriers, low- and middle-income countries
- MeSH terms
- Adolescent, Adult, Aged, Aged, 80 and over, Mental Disorders, Developing Countries, Female, Health Surveys, Humans, Male, Mental Health, Middle Aged, Patient Acceptance of Health Care, Psychotherapy, Socioeconomic Factors, Multivariate Analysis, Logistic Models, Developed Countries, Internationality, Healthcare Disparities, Young Adult
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
A language model drew the claims from the paper on 2026-09-28, under version 3 of the claim definition (model deepseek-v4.1-flash, prompt extract-v3).
A second model labelled each claim on 2026-09-28 (model jev-1.13-20260917, definition revision gold-guideline-v0.2).
Cited sources are checked with a language model’s help (gpt-6-sol).
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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