Predictors of adherence and outcome in internet-based cognitive behavior therapy delivered in a telephone counseling setting
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Written from the paper’s full text.
TL;DR
This secondary analysis of an RCT with callers to a national telephone counseling service examined predictors of adherence and outcome in a 6-week online psychoeducation/CBT intervention for depression. Lower baseline depression predicted greater adherence, while low and moderate motivation predicted better depression outcomes than high motivation; adherence was not associated with outcome.
Key findings
- Among 83 participants assigned to Web only or Web with tracking, only about 16% completed all 6 weeks; mean weeks completed was 2.5 (SD = 2.28). In the adjusted model, lower baseline depression was associated with greater adherence (Beta = −.27, p = .043); univariate predictors included more education (Beta = .25, p = .000), higher motivation (Beta = .29, p = .03), and younger age (Beta = −.18, p = .04), with pre-intervention depression approaching significance (p = .052).
- No significant three-way interactions were found between measurement occasion, condition (web CBT vs. tracking only/control), and sex, age, education, relationship status, employment status, or adherence for depression outcome (e.g., adherence: F(3,83.4) = 1.06, p = .37, n = 153).
- A significant measurement occasion × motivation interaction was found for depression symptoms (F(3,38.3) = 2.85, p = .0499, n = 50); quadratic motivation was also significant (linear F(3,36.9) = 3.44, p = .027; quadratic F(3,43.2) = 4.88, p = .005). At 6 months, low motivation (t = −2.09, p = .043) and moderate motivation (t = −2.49, p = .017) had lower depressive symptoms than high motivation; at 12 months, moderate motivation had lower depressive symptoms than high motivation (t = −2.44, p = .019).
- Dropout predictors included Internet plus tracking condition post-intervention (OR 6.46, p = .002) and at 12 months (OR 3.70, p = .01); fewer completed MoodGYM modules post-intervention (OR .49, p < .001), at 6 months (OR .56, p < .001), and at 12 months (OR .66, p = .001); higher pre-intervention psychological distress (OR 1.10, p = .04) and lower pre-intervention anxiety (OR .93, p = .03) predicted dropout at 12 months.
Methods
- Randomized controlled trial with four conditions: Web only (n = 38), Web with tracking (n = 45), Tracking only (n = 37), and Control (n = 35). Current adherence analyses included the Web only and Web with tracking conditions (n = 83); outcome analyses compared the two web-CBT groups with tracking/control groups (n = 155).
- Participants were callers to Lifeline’s 24-hour counseling service, recruited by telephone counselors in four major Australian cities; eligibility included English speaking, Internet access at least 30 minutes per week, age 18+, and K10 score ≥22. The intervention was 6 weeks of online psychoeducation (BluePages in week 1) and CBT (MoodGYM weeks 2–6); Web with tracking also received weekly 10-minute counselor calls.
- Measures included demographics, CES-D depression severity, and the NML-P motivation scale (administered only to web conditions; 51 completed it, internal consistency = .66). Analyses used logistic regression for dropout, linear regression with robust standard errors for adherence, and mixed models repeated measures ANOVA for outcome, with measurement occasion as a within-groups factor and intervention condition as a between-groups factor.
Limitations
- Stated: within-trial attrition was high (107 [69%] completed post-intervention, 92 [59%] at 6 months, 57 [37%] at 12 months), and the small sample—especially the adherence subgroup—means both significant and null findings are uncertain and may be underpowered; replication in a larger sample is required.
- Stated: the objective adherence measure provided little information about engagement with intervention content; motivation was not assessed in the control and tracking-only conditions, so conclusions about motivation and outcome should be cautious; only a small number of possible predictors were examined.
- Evident from the text: the helpline-recruited sample may be unique and not broadly generalizable; education level was high/restricted; dropout-reason data were obtained from only 10 participants (21.3%); and the NML-P had internal consistency of .66 in this sample.
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Claims the paper makes
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- Findingown data
At 12 months, depression symptoms were significantly lower in the moderate motivation group compared with the high motivation group (t = -2.44, p = .019).
“At 12 months, depression symptoms were significantly lower in the moderate motivation group, compared with the high motivation group (t = -2.44,p = .019).”
- Also stated in: § Abstract · plain
“At 12 month follow-up, those with moderate levels of motivation had lower depressive symptoms than those with high motivation.”
Quote in the paperSubstantial claim- The authors state this as an assumption: Missingness in the data is either completely at random (MCAR) or at random conditional on observed data (MAR).
- Also stated in: § Abstract · plain
- Findingown data
No significant effects were found for the three-way interactions between measurement occasion, condition and sex, age, level of education, relationship status, employment status, or adherence.
“No significant effects were found for the three-way interactions between measurement occasion, condition (web CBT conditions vs. tracking only/control conditions) and any of the following predictors, including: sex (F(3,88.9)= .67,p = .58,n = 153); age (F(3, 82.4) = 1.62, p = .19,n = 153); level of education (F(3,86.5)= .31,p = .82,n = 148); relationship status (F(3,83.4)= .33,p = .81,n = 153);”
Quote in the paperNot a substantial claim- The authors state this as an assumption: Missingness in the data is either completely at random (MCAR) or at random conditional on observed data (MAR).
- Findingown data
Post-intervention, depression symptoms did not differ significantly between participants with different levels of motivation.
“Post-intervention, depression symptoms did not differ significantly between participants with different levels of motivation.”
Quote in the paperNot a substantial claim- The authors state this as an assumption: Missingness in the data is either completely at random (MCAR) or at random conditional on observed data (MAR).
- Findingown data
Higher motivation was linked to greater adherence.
“although our results found that higher motivation was linked to greater adherence”
Quote in the paperSubstantial claim - Findingown data
Pre-intervention depression approached significance as a predictor of adherence (p = .052).
“Pre-intervention depression approached significance as a predictor of adherence (p = .052).”
Quote in the paperNot a substantial claim
- Findingown data
Approximately 16% of participants completed all 6 weeks of the intervention.
“Approximately 16% of participants completed all 6 weeks of the intervention.”
Quote in the paperSubstantial claim - Findingown data
Adherence was significantly associated with level of motivation, such that those with higher levels of motivation were more adherent to the intervention.
“Adherence was significantly associated with level of education, level of motivation and age, such that those with more years of education, those with higher levels of motivation and younger participants were more adherent to the intervention.”
Quote in the paperNot a substantial claim - Findingown data
Adherence was significantly associated with level of education, such that those with more years of education were more adherent to the intervention.
“Adherence was significantly associated with level of education, level of motivation and age, such that those with more years of education, those with higher levels of motivation and younger participants were more adherent to the intervention.”
Quote in the paperNot a substantial claim - Findingown data
When all the predictors were modelled together, none of the predictors that were univariately associated with adherence were significant.
“When all the predictors were modelled together, none of the predictors that were univariately associated with adherence were significant.”
Quote in the paperSubstantial claim - Findingown data
Adherence was significantly associated with age, such that younger participants were more adherent to the intervention.
“Adherence was significantly associated with level of education, level of motivation and age, such that those with more years of education, those with higher levels of motivation and younger participants were more adherent to the intervention.”
Quote in the paperNot a substantial claim - Findingown data
A significant interaction between measurement occasion and motivation was found for depression symptoms (F(3,38.3) = 2.85, p = .0499, n = 50).
“A significant interaction between measurement occasion and motivation was found for depression symptoms (F(3,38.3)= 2.85, p = .0499,n = 50), indicating different patterns of change in depression symptoms over time among participants with different levels of motivation.”
- Also stated in: § Abstract · plain
“A significant interaction was found between measurement occasion and motivation to undertake the intervention.”
Quote in the paperSubstantial claim- The authors state this as an assumption: Missingness in the data is either completely at random (MCAR) or at random conditional on observed data (MAR).
- Also stated in: § Abstract · plain
- Findingown data
Lower baseline depression was associated with greater adherence when all variables were taken into account (Beta = -.27, p = .043).
“Those with lower levels of baseline depression were more adherent to the intervention (Beta = -.27,p = .043).”
- Also stated in: § Abstract · plain
“Lower baseline depression severity was significantly associated with greater adherence to the intervention.”
Quote in the paperSubstantial claim - Also stated in: § Abstract · plain
- Findingown data
Sex of the participant was found to be unrelated to outcome.
“Sex of the participant was found to be unrelated to outcome.”
Quote in the paperSubstantial claim - Findingown data
There was no relationship between adherence and outcome in the present study.
“The fact that there was no relationship between adherence and outcome was surprising”
Quote in the paperSubstantial claim - Findingown data
Relationship status was unrelated to outcome in the current study.
“Relationship status, employment status and level of education were unrelated to outcome in the current study.”
Quote in the paperNot a substantial claim - Findingreasoning
Assignment to the Internet plus tracking condition was a significant predictor of failure to complete follow-up assessments.
“Assignment to the Internet plus tracking condition and lack of adherence to the intervention were significant predictors of failure to complete follow-up assessments.”
Quote in the paperSubstantial claim - Findingown data
Level of education was unrelated to outcome in the current study.
“Level of education was also unrelated to outcome in the current study.”
- Also stated in: § Discussion · plain
“Relationship status, employment status and level of education were unrelated to outcome in the current study.”
Quote in the paperNot a substantial claim - Also stated in: § Discussion · plain
- Findingnone given
A large majority of participants allocated to the intervention conditions failed to complete the program in its entirety.
“A large majority of participants allocated to the intervention conditions failed to complete the program in its entirety”
Quote in the paperSubstantial claim - Findingreasoning
Lack of adherence to the intervention was a significant predictor of failure to complete follow-up assessments.
“Assignment to the Internet plus tracking condition and lack of adherence to the intervention were significant predictors of failure to complete follow-up assessments.”
Quote in the paperSubstantial claim - Findingown data
Employment status was unrelated to outcome in the current study.
“Relationship status, employment status and level of education were unrelated to outcome in the current study.”
Quote in the paperNot a substantial claim - Premisereasoning
Studies conducted to date have yielded equivocal results possibly due to considerable diversity in sample sizes and characteristics, definitions of adherence, and disorders targeted.
“Furthermore, studies conducted to date have yielded equivocal results possibly due to considerable diversity in sample sizes and characteristics, definitions of adherence, and disorders targeted.”
Quote in the paperSubstantial claim - Premisereasoning
There is less certainty regarding the status of age and sex as predictors of adherence.
“There is less certainty regarding the status of age and sex as predictors of adherence.”
Quote in the paperNot a substantial claim - Premisecitation
Studies of clinical predictors of adherence have typically reported that baseline depression symptom severity is unrelated to adherence in online interventions.
“Studies of clinical predictors of adherence have typically reported that baseline depression symptom severity is unrelated to adherence in online interventions (Andersson et al., 2005;Kenardy, McCafferty, & Rosa, 2003;Warmerdam et al., 2008).”
Quote in the paperNot a substantial claim0 of 3 sources checked - Premisereasoning
There are few consistent predictors of adherence and outcome in the literature.
“Thus, there are few consistent predictors of adherence and outcome in the literature.”
Quote in the paperSubstantial claim - Premisenone given
Relatively few studies have investigated these variables as predictors of adherence and outcome in online interventions for depression and anxiety.
“However, relatively few studies have investigated these variables as predictors of adherence and outcome in online interventions for depression and anxiety.”
Quote in the paperSubstantial claim - Premisecitation
Three studies found that greater pre-treatment depression symptom severity was associated with greater response to online CBT.
“Three studies found that greater pre-treatment depression symptom severity was associated with greater response to online CBT (Button et al., 2012;de Graaf et al., 2010;Spek et al., 2008).”
Quote in the paperNot a substantial claim0 of 3 sources checked - Premisenone given
There is some evidence in Internet-based CBT studies to support the assumption that greater treatment adherence results in improved outcomes, although findings are mixed.
“There is some evidence in Internet-based CBT studies to support this assumption although findings are mixed, possibly due to differences in the measurement of treatment adherence.”
Quote in the paperSubstantial claim- The authors state this as an assumption: Greater treatment adherence results in improved outcomes.
- Premisecitation
Compliance with homework exercises was significantly associated with better treatment outcome at 9 months.
“Compliance with homework exercises was also significantly associated with better treatment outcome at 9 months (de Graaf et al., 2009).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites de Graaf et al., 2009 source
Not checked in the free run.
- Premisecitation
No differences in improvement of depressive symptoms were found between those who completed treatment in its entirety and those who did not.
“However, Warmerdam and colleagues found no differences in improvement of depressive symptoms between those who completed treatment in its entirety and those who did not (Warmerdam et al., 2008).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Warmerdam et al., 2008 source
Not checked in the free run.
- Interpretationcitation
The finding that those with higher levels of motivation showed greater adherence is consistent with the theory of planned behavior.
“This finding is consistent with the theory of planned behavior, which posits that attitudes towards a behavior and self-efficacy to perform that behavior are predictive of behavioral intentions (Ajzen, 1991).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Ajzen, 1991
Not checked in the free run.
- Premisecitation
Pre-treatment expectations and perceived credibility of the treatment did not predict subsequent program completion.
“Results showed that pre-treatment expectations and perceived credibility of the treatment did not predict subsequent program completion (Cavanagh et al., 2009).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Cavanagh et al., 2009 source
Not checked in the free run.
- Premisecitation
Perceived treatment credibility was unrelated to outcome.
“Of the two studies which have examined this question, both reported that perceived treatment credibility was unrelated to outcome (Cavanagh et al., 2009;de Graaf, Huibers, Riper, Gerhards, & Arntz, 2009).”
Quote in the paperNot a substantial claim0 of 2 sources checked - Premisenone given
Overall, to date, few factors have been consistently identified as predictors of adherence in online interventions for depression and anxiety.
“Overall, to date, few factors have been consistently identified as predictors of adherence in online interventions for depression and anxiety.”
Quote in the paperSubstantial claim - Study design and conductreasoning
The analyses may have been inadequately powered to detect small or moderate effect sizes for these predictors.
“even if small or moderate effect sizes exist for these predictors, the analyses may have been inadequately powered to detect them.”
Quote in the paperSubstantial claim - Interpretationreasoning
It is probable that participants who failed to complete the program dropped out of the trial prior to completing the post-intervention and follow-up assessments.
“making it probable that they dropped out of the trial prior to completing the post-intervention and follow-up assessments.”
Quote in the paperSubstantial claim - Study design and conductnone given
The measure of adherence used in the current study was objective (rather than based on participant self-report).
“Although the measure of adherence used in the current study was objective (rather than based on participant self-report)”
Quote in the paperNot a substantial claim - Study design and conductnone given
Motivation was not assessed in the control and tracking only conditions.
“motivation was not assessed in the control and tracking only conditions”
Quote in the paperSubstantial claim - Study design and conductnone given
Within trial attrition (failure to complete follow-up assessments) was high in the ECCO trial.
“Within trial attrition (failure to complete follow-up assessments) was high in the ECCO trial”
Quote in the paperSubstantial claim - Interpretationown data
An optimal level of motivation may facilitate the best outcomes.
“Our findings show that an optimal level of motivation may facilitate the best outcomes.”
Quote in the paperSubstantial claim - Interpretationreasoning
The findings regarding the predictors of adherence and outcome may not be as reliable as those found in other studies.
“thus, the findings regarding the predictors of adherence and outcome may not be as reliable as those found in other studies.”
Quote in the paperSubstantial claim - Study design and conductown data
Data on reasons for dropout was obtained from only 10 participants (21.3%).
“data was obtained from only 10 participants (21.3%).”
Quote in the paperNot a substantial claim - Study design and conductreasoning
The adherence measure provided little information about the degree to which participants engaged with the intervention content.
“it provided little information about the degree to which participants engaged with the intervention content”
Quote in the paperSubstantial claim - Premisecitation
The finding that relationship status was unrelated to outcome is inconsistent with studies that have examined relationship status and outcome in online CBT.
“This finding is inconsistent with studies that have examined relationship status and outcome in online CBT (Button et al., 2012;Spek et al., 2008).”
Quote in the paperNot a substantial claim0 of 2 sources checked - Study design and conductreasoning
The small sample analyzed (particularly the subgroup sample included in the predictors of adherence analyses) creates uncertainty in both the significant and null findings of this study.
“It is important to acknowledge the uncertainty of both the significant and null findings of this study afforded by the small sample analyzed (particularly the subgroup sample included in the predictors of adherence analyses).”
Quote in the paperSubstantial claim
- May combine two claims. 23
- Classified as probably not a substantial claim. 22
- The quote only partly states this claim. 1
May combine two claims.
Findingown dataIndividuals with high levels of motivation had poorer outcomes compared to those with low and moderate levels of motivation at 6 month follow-up and those with moderate levels of motivation at 12 month follow-up.
“Individuals with high levels of motivation had poorer outcomes compared to those with low and moderate levels of motivation at 6 month follow-up and those with moderate levels of motivation at 12 month follow-up.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe odds of dropout were greater for participants in the Internet plus tracking condition, relative to participants in the control condition post-intervention (OR 6.46, p = .002) and at 12 month follow-up (OR 3.70, p = .01).
“The odds of dropout (failure to complete an outcome assessment) were greater for participants in the Internet plus tracking condition, relative to participants in the control condition post-intervention (OR 6.46, p = .002)and at 12 month follow-up (OR 3.70, p = .01).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataBoth linear and quadratic motivation terms were significant, and the addition of the quadratic effect explained significantly greater variance in the depression outcome (χ2(4) = 12.02, p = .007).
“When the model was re-estimated using both linear and quadratic motivation terms, both were significant (linear F(3,36.9)= 3.44, p = .027;quadratic F(3,43.2) = 4.88, p = .005).Based on change in -2 log likelihood, the addition of the quadratic effect explained significantly greater variance in the depression outcome (χ 2 (4) = 12.02, p = .007).”
Quote in the paperSubstantial claim- The authors state this as an assumption: Missingness in the data is either completely at random (MCAR) or at random conditional on observed data (MAR).
May combine two claims.
Findingown dataThose who completed fewer MoodGYM modules had greater odds of dropout post-intervention (OR .49, p < .001), at 6 month follow-up (OR .56, p < .001) and at 12 month follow-up (OR .66, p = .001).
“Those who completed fewer MoodGYM modules also had greater odds of dropout post-intervention (OR .49,p <.001), at 6 month follow-up (OR .56,p <.001) and at 12 month follow-up (OR .66,p = .001).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataRelationship status, sex of the participant and employment status were unrelated to adherence.
“Relationship status, sex of the participant and employment status were unrelated to adherence.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThose with higher levels of pre-intervention psychological distress (OR 1.10, p = .04) and those with lower pre-intervention anxiety symptoms (OR .93, p = .03) were more likely to dropout at 12 months.
“In addition, those with higher levels of pre-intervention psychological distress (OR 1.10, p = .04),and those with lower pre-intervention anxiety symptoms (OR .93,p = .03)were more likely to dropout at 12 months.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataAt 6 month follow-up, depression symptoms were lower for both the low motivation group (t = -2.09, p = .043) and the moderate motivation group (t = -2.49, p = .017), compared with the high motivation group.
“At 6 month follow-up, depression symptoms were lower for both the low motivation (t = -2.09,p = .043)and moderate motivation groups (t = -2.49,p = .017),compared with the high motivation group, based on estimates obtained from the fixed effects model.”
Quote in the paperSubstantial claim- The authors state this as an assumption: Missingness in the data is either completely at random (MCAR) or at random conditional on observed data (MAR).
May combine two claims.
Findingown dataThe most commonly cited reasons for dropout were lack of time (n = 5), feeling too depressed (n = 5), slow or unreliable Internet connection (n = 4), the intervention contained too much text (n = 4), or CBT was too complicated to understand (n = 4).
“The most commonly cited reasons were: lack of time (n = 5), feeling too depressed (n = 5), slow or unreliable Internet connection (n = 4), the intervention contained too much text (n = 4) or CBT was too complicated to understand (n = 4).”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
PremisecitationInternet-delivered interventions are effective in the treatment of depression and other mental disorders.
“Internet-delivered interventions are effective in the treatment of depression and other mental disorders (Andersson & Cuijpers, 2009;Andrews, Cuijpers, Craske, McEvoy, & Titov, 2010;Griffiths, Farrer, & Christensen, 2010).”
Quote in the paperSubstantial claim0 of 3 sources checkedMay combine two claims.
PremisecitationHigher educational attainment and being married or in a partnered relationship appear to be associated with better adherence to online interventions.
“Two of the more consistent findings are that higher educational attainment and being married or in a partnered relationship appear to be associated with better adherence to online interventions.”
Quote in the paperSubstantial claim0 of 3 sources checked- cites Lange et al., 2003
Not checked in the free run.
- cites Spek, Nyklicek, Cuijpers, & Pop, 2008 source
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- cites Batterham, Neil, Bennett, Griffiths, & Christensen, 2008
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May combine two claims.
PremisecitationPremature dropout from face-to-face treatment appears to prolong depressive episodes and increase the likelihood of symptom relapse.
“Premature dropout from face-to-face treatment appears to prolong depressive episodes and increase the likelihood of symptom relapse (Pekarik, 1985(Pekarik, , 1986)).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Pekarik, 1985
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- cites Pekarik, 1986
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Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Premisenone givenThe relationship between employment status and adherence to online treatments has not yet been investigated.
“The relationship between employment status and adherence to online treatments has not yet been investigated.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
PremisecitationSeveral factors have been found to be associated with treatment adherence and outcome in relation to face-to-face treatment, including demographic characteristics, clinical characteristics, and motivational factors.
“Several factors have been found to be associated with treatment adherence and outcome in relation to face-to-face treatment, including demographic characteristics (e.g., age, sex, educational level, employment status, and relationship status), clinical characteristics (e.g., severity of symptoms, chronicity or stability of symptoms, complexity of diagnostic presentation), and motivational factors”
Quote in the paperSubstantial claim0 of 3 sources checked- cites Arnow et al., 2007 source
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- cites Hillis, Alexander, & Eagles, 1993
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- cites Last, Thase, Hersen, Bellack, & Himmelhoch, 1985
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Classified as probably not a substantial claim. May combine two claims.
Study design and conductown dataThe study was a randomized controlled trial with four conditions.
“The study was a randomized controlled trial with four conditions: (a) Web only: online psychoeducation and CBT (n = 38), (b) Web with tracking: online psychoeducation and CBT, plus weekly telephone tracking (n = 45), (c) Tracking only: weekly telephone tracking only (n = 37), (d) Control: no online psychoeducation and CBT or telephone tracking (n = 35).”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductreasoningSeveral significant findings from the univariate analyses should be interpreted with caution, given the small sample size and propensity for type 1 error when multiple tests are conducted.
“Several significant findings emerged from the univariate analyses.These should be interpreted with caution, given the small sample size and propensity for type 1 error when multiple tests are conducted.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationOne study found that response to treatment was superior for females and those with higher levels of education.
“However, one study found that response to treatment was superior for females and those with higher levels of education (Spek et al., 2008).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Spek et al., 2008 source
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May combine two claims.
Premisenone givenThe most consistent findings are that higher educational attainment and being in a married/partnered relationship are predictive of better adherence, and that baseline depression symptom severity is largely unrelated to adherence.
“The most consistent findings are that higher educational attainment and being in a married/partnered relationship are predictive of better adherence, and that baseline depression symptom severity is largely unrelated to adherence.”
Quote in the paperSubstantial claimMay combine two claims.
Study design and conductown data107 (69%) participants completed the post-intervention survey, 92 (59%) completed the 6 month follow-up survey and 57 (37%) completed the 12 month follow-up survey.
“107 (69%) participants completed the post-intervention survey, 92 (59%) completed the 6 month follow-up survey and 57 (37%) completed the 12 month follow-up survey.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationOne study reported greater adherence among individuals with higher baseline depression symptom severity.
“However, one study reported greater adherence among individuals with higher baseline depression symptom severity (Batterham et al., 2008).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Batterham et al., 2008
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductcitationDepression symptom severity was measured using the 16-item Centre for Epidemiologic Studies Depression Scale (CES-D), which is widely used and has strong reliability and validity.
“Depression symptom severity was measured using the 16-item Centre for Epidemiologic Studies Depression Scale (CES-D) (Radloff, 1977).The scale is widely used and has strong reliability and validity (Husaini, Neff, Harrington, Hughes, & Stone, 1980;Knight, Williams, McGee, & Olaman, 1997;Radloff, 1977;Roberts, 1980;Roberts & Vernon, 1983;Ross & Mirowsky, 1984).”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites Radloff, 1977 source
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- cites Husaini, Neff, Harrington, Hughes, & Stone, 1980
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- cites Knight, Williams, McGee, & Olaman, 1997
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Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationAndersson and colleagues found that depression symptom severity at baseline was significantly positively correlated with depression symptom severity at 6 month follow-up.
“However, Andersson and colleagues found that depression symptom severity at baseline was significantly positively correlated with depression symptom severity at 6 month follow-up (Andersson et al., 2004).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Andersson et al., 2004
Not checked in the free run.
May combine two claims.
Premisenone givenBaseline depression appears to be associated with treatment outcome, whereas age, sex, and education level do not.
“On the other hand, baseline depression appears to be associated with treatment outcome, whereas age, sex, and education level do not.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationThere is contradictory evidence regarding the effect of relationship status on response to online CBT, with one study reporting better outcomes among married individuals and another reporting better outcomes among those who were separated, widowed or divorced.
“There is a small amount of contradictory evidence regarding the effect of relationship status on response to online CBT, with one study reporting better outcomes among married individuals (Spek et al., 2008), and another study reporting better outcomes among those who were separated, widowed or divorced (Button et al., 2012).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Spek et al., 2008 source
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- cites Button et al., 2012
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May combine two claims.
Interpretationown dataThe findings suggest that lower pre-intervention depression symptoms may positively influence adherence to online treatment for depression, while low and moderate levels of motivation appear to be optimal for treatment outcome.
“The findings suggest that lower pre-intervention depression symptoms may positively influence adherence to online treatment for depression, while low and moderate levels of motivation appear to be optimal for treatment outcome.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationTreatment expectations were positively related to outcome in one study, but no association was found in another.
“However only one of the studies found that treatment expectations were positively related to outcome (de Graaf et al., 2009), with the second reporting no association (Cavanagh et al., 2009).”
Quote in the paperNot a substantial claim0 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing). The quote only partly states this claim.
Study design and conductown dataIn the current sample, internal consistency for the NML-P scale was 0.66 (N = 45).
“In the current sample, internal consistency for the scale was 0.66 (N = 45).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationStudies of face-to-face treatments suggest that a relationship exists between dropout and lower income and lower socioeconomic status.
“Studies of face-to-face treatments suggest that a relationship exists between dropout and lower income and lower socioeconomic status (Arnow et al., 2007;Wierzbicki & Pekarik, 1993).”
Quote in the paperNot a substantial claim0 of 2 sources checkedClassified as probably not a substantial claim. May combine two claims.
PremisecitationA higher number of logins, greater total time spent using the treatment and greater use of an online mood diary were predictive of better outcome at 3 months postintervention.
“One study reported that a higher number of logins, greater total time spent using the treatment and greater use of an online mood diary were predictive of better outcome at 3 months postintervention (de Graaf et al., 2009).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites de Graaf et al., 2009 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductcitationThe NML-P is a recently developed scale, and its test-retest reliability and validity have yet to be extensively evaluated.
“However, given that the NML-P is a recently developed scale, test-retest reliability and validity have yet to be extensively evaluated.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Allart-van Dam et al., 2004
Not checked in the free run.
Classified as probably not a substantial claim.
PremisecitationOther studies report an association between positive expectations for treatment and better treatment response.
“other studies that report an association between positive expectations for treatment and better treatment response (de Haan et al., 1997;Keijsers, Hoogduin, & Schaap, 1994;Keithly, Samples, & Strupp, 1980;Sotsky et al., 1991;Weinberger & Eig, 1999).”
Quote in the paperSubstantial claim0 of 3 sources checked- cites de Haan et al., 1997 source
Not checked in the free run.
- cites Keijsers, Hoogduin, & Schaap, 1994
Not checked in the free run.
- cites Keithly, Samples, & Strupp, 1980
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationAge, sex and education level are not associated with response to treatment, either in terms of reduced post-treatment symptom severity or pre-to posttreatment symptom change.
“Results from several studies suggest that age, sex and education level are not associated with response to treatment, either in terms of reduced post-treatment symptom severity (Clarke et al., 2002;de Graaf, Hollon, & Huibers, 2010) or pre-to posttreatment symptom change (Andersson, Bergström, Hollandare, Ekselius, & Carlbring, 2004;Button, Wiles, Lewis, Peters, & Kessler, 2012;de Graaf et al., 2”
Quote in the paperNot a substantial claim0 of 3 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationAnother study reported that unemployment was linked to worse outcome following online CBT (de Graaf et al., 2010).
“contrasts with the findings of another which reported that unemployment was linked to worse outcome following online CBT (de Graaf et al., 2010).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites de Graaf et al., 2010 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductreasoningThis study examined only a small number of the many possible predictors of adherence and outcome.
“This study also examined only a small number of the many possible predictors of adherence and outcome.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataThe finding that sex was unrelated to outcome adds weight to the findings that online CBT is equally effective for men and women.
“This result adds weight to the findings of the small complement of existing online depression studies that have demonstrated that online CBT is equally effective for men and women”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe lack of association between employment status and outcome is consistent with one study of online CBT for depression (Warmerdam et al., 2008).
“The lack of association found between employment status and outcome is consistent with one study of online CBT for depression (Warmerdam et al., 2008)”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Warmerdam et al., 2008 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenEthics approval for the trial was granted by The Australian National University Human Research Ethics Committee (Protocol no. 2007/12).
“Ethics approval for the trial was granted by The Australian National University Human Research Ethics Committee (Protocol no.2007/12).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenInformed written consent was obtained from participants.
“Informed written consent was obtained from participants”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductown dataParticipants were randomly allocated to one of the four trial conditions.
“participants were randomly allocated to one of the four trial conditions.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim. May combine two claims.
Premisecitationde Graaf and colleagues (2009) reported that better treatment outcome was associated with greater number of logins, greater total time spent using the intervention, and greater compliance with homework exercises.
“de Graaf and colleagues (2009) who reported that better treatment outcome was associated with greater number of logins, greater total time spent using the intervention, and greater compliance with homework exercises.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites de Graaf et al., 2009 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationExisting online depression studies have demonstrated that online CBT is equally effective for men and women.
“the small complement of existing online depression studies that have demonstrated that online CBT is equally effective for men and women (Andersson et al., 2004;Clarke et al., 2002;de Graaf et al., 2010).”
Quote in the paperNot a substantial claim0 of 3 sources checked
The paper relies on this without support.
Many users of Internet-based interventions do not complete the intervention in its entirety, and not all who complete Internet programs benefit from treatment.
“Many users of Internet-based interventions do not complete the intervention in its entirety, and not all who complete Internet programs benefit from treatment.”
The authors state this as an assumption.
Missingness in the data is either completely at random (MCAR) or at random conditional on observed data (MAR).
“Mixed modelling allows the use of all available data for each participant to yield unbiased estimates of effects under the assumption that missingness is either completely at random (MCAR) or at random conditional on observed data (MAR) (Hamer & Simpson, 2009).”
The authors state this as an assumption.
Greater treatment adherence results in improved outcomes.
“It is generally assumed that greater treatment adherence results in improved outcomes.”
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 study found no evidence for many previously identified predictive factors for adherence including baseline symptom levels, gender, age, or education.
“In contrast to previous studies on adherence in depression and anxiety interventions, we found no evidence for many of the previously identified predictive factors for adherence including baseline symptom levels, gender, age, or education (Christensen et al., 2009; Farrer et al., 2014; Karyotaki et al., 2015; Beatty et al., 2017).”
From Predictors of acceptability and engagement in a self-guided online program for depression and anxiety (2021) · cites this paper as Farrer et al., 2014
In “Predictors of adherence to the intervention” (page unavailable), age and education predicted adherence in univariate analyses, although neither remained significant when the predictors were modeled together. The paper also found that lower baseline depression significantly predicted better adherence in the combined model, contrary to the claim that it found no evidence for baseline symptom levels. The Discussion (page unavailable) reports no association between sex and adherence. (LLM, conf=0.90)
Experimental — accuracy not yet measuredThe education of users is consistent with the proposed type of interventions, which require reading, writing, and computer skills.
“This is consistent with the proposed type of interventions, which require reading, writing, and computer skills (Farrer et al., 2014).”
From Online and Mobile Interventions for Problem Gambling, Alcohol, and Drugs: A Systematic Review (2017) · cites this paper as Farrer et al., 2014
Statistics recomputed
Every reported test result, recomputed from its test statistic and degrees of freedom. A result shows as not adding up only once an independent check has confirmed it.
- ConsistentF(3, 88.9) = 0.67reported p = .58 · recomputed p = .573
“F(3,88.9)= .67,p = .58”
- ConsistentF(3, 82.4) = 1.62reported p = .19 · recomputed p = .191
“F(3, 82.4) = 1.62, p = .19”
- ConsistentF(3, 86.5) = 0.31reported p = .82 · recomputed p = .818
“F(3,86.5)= .31,p = .82”
- ConsistentF(3, 83.4) = 0.33reported p = .81 · recomputed p = .804
“F(3,83.4)= .33,p = .81”
- ConsistentF(3, 88.9) = 0.74reported p = .53 · recomputed p = .531
“F(3,88.9)= .74,p = .53”
- ConsistentF(3, 83.4) = 1.06reported p = .37 · recomputed p = .371
“F(3,83.4)= 1.06, p = .37”
- ConsistentF(3, 38.3) = 2.85reported p = .0499 · recomputed p = .050
“F(3,38.3)= 2.85, p = .0499”
- ConsistentF(3, 36.9) = 3.44reported p = .027 · recomputed p = .026
“F(3,36.9)= 3.44, p = .027”
- ConsistentF(3, 43.2) = 4.88reported p = .005 · recomputed p = .005
“F(3,43.2) = 4.88, p = .005”
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.
Motivation scores differ between the text and Table 1
MajorFor the 51 participants who completed the motivation survey, the text reports a mean of 54.5 and SD of 15.94, whereas Table 1 reports a mean of 55.7 and SD of 16.6.
“Scores on this survey ranged from 7 to 75, with a mean score of 54.5 (SD = 15.94).”
“Motivation to participate (NML-P) a , M (SD) 55.7 (16.6)N/A”
Participant restriction conflicts with the outcome analysis
MinorThe Participants section says only the two web-intervention groups were analyzed, but the paper also reports an outcome analysis comparing them with the tracking-only and control groups.
“Only those participants allocated to the Web only (n = 38) and Web with tracking (n = 45) conditions were analyzed in the current study.”
“Predictors of depression outcome were assessed using mixed models repeated measures ANOVA, comparing the two web-CBT intervention groups to the tracking and control groups (n = 155).”
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Flagged first, then by citations
Cited by
Sorted by citations
Borghouts, J., Eikey, E., Mark, G., De Leon, C., Schueller, S. M., Schneider, M., Stadnick, N., Zheng, K., Mukamel, D., & Sorkin, D. H. (2021) · Journal of Medical Internet Research · doi:10.2196/24387 · Cited by 1,069 · see citing works
“As seen in Multimedia Appendix 2, the 208 articles included in this review [27-237] reported on 2 types of user studies: (1) 69 studies were needs assessments that aimed to understand user needs and attitudes toward DMHIs without or before engaging with a specific intervention as part of a study and (2) 135 studies we…”
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“Having enough time to integrate the treatment into (daily) life routine also facilitates online care [17,18].”
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“Five studies (28 %) found that higher education was associated with higher adherence [29, 30, 40, 41, 44].”
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“In 23 studies, the intended usage was described as well (Category B operationalization) [51-73], and 5 studies reported the intended usage with a justification for this threshold (Category C operationalization) [74-78].”
BackgroundGan, D. Z. Q., McGillivray, L., Han, J., Christensen, H., & Torok, M. (2021) · Frontiers in Digital Health · doi:10.3389/fdgth.2021.764079 · Cited by 305 · see citing works
“Despite the lack of meta-analytic evidence, it has been widely assumed that the association between face-to-face treatment engagement and treatment success extends to these tools by virtue of the extensive replication of this relationship in the general intervention literature (19).”
BackgroundSelf-citationLipschitz, J. M., Pike, C. K., Hogan, T. P., Murphy, S. A., & Burdick, K. E. (2023) · Current Treatment Options in Psychiatry · doi:10.1007/s40501-023-00297-3 · Cited by 230 · see citing works
Räsänen, P., Lappalainen, P., Muotka, J., Tolvanen, A., & Lappalainen, R. (2016) · Behaviour Research and Therapy · doi:10.1016/j.brat.2016.01.001 · Cited by 221 · see citing works
Zarski, A.-C., Lehr, D., Berking, M., Riper, H., Cuijpers, P., & Ebert, D. D. (2016) · Journal of Medical Internet Research · doi:10.2196/jmir.4493 · Cited by 114 · see citing works
“Both higher [7,54,55] and lower [1,3,42] baseline depression scores were found to be associated with lower treatment adherence or no significant association was found [30,50,56,57].”
The association between adherence and outcome in an Internet intervention for depression
Fuhr, K., Schröder, J., Berger, T., Moritz, S., Meyer, B., Lutz, W., Hohagen, F., Hautzinger, M., & Klein, J. P. (2018) · Journal of Affective Disorders · doi:10.1016/j.jad.2017.12.028 · Cited by 97 · see citing works
Theoretical Perspectives of Adherence to Web-Based Interventions: a Scoping Review
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“An effective theory or model of adherence should operate in conjunction with an empirically supported model of behaviour change and technology design [45].”
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Drozd, F., Vaskinn, L., Bergsund, H. B., Haga, S. M., Slinning, K., & Bjørkli, C. A. (2016) · Journal of Medical Internet Research · doi:10.2196/jmir.5670 · Cited by 60 · see citing works
Online and Mobile Interventions for Problem Gambling, Alcohol, and Drugs: A Systematic Review
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“…adherence in depression and anxiety interventions, we found no evidence for many of the previously identified predictive factors for adherence including baseline symptom levels, gender, age, or education (Christensen et al., 2009; Farrer et al., 2014; Karyotaki et al., 2015; Beatty et al., 2017).”
BackgroundResultInfluentialSelf-citationMohr, D. C., Kwasny, M., Meyerhoff, J., Graham, A. K., & Lattie, E. G. (2021) · Behaviour Research and Therapy · doi:10.1016/j.brat.2021.103972 · Cited by 46 · see citing works
Howell, A. N., Rheingold, A. A., Uhde, T. W., & Guille, C. (2018) · Cognitive Behaviour Therapy · doi:10.1080/16506073.2018.1533575 · Cited by 36 · see citing works
Chen, H., Rodriguez, M. A., Qian, M., Kishimoto, T., Lin, M., & Berger, T. (2020) · Behavioural and Cognitive Psychotherapy · doi:10.1017/s1352465819000730 · Cited by 33 · see citing works
Høifødt, R. S., Mittner, M., Lillevoll, K. R., Katla, S. K., Kolstrup, N., Eisemann, M. R., Friborg, O., & Waterloo, K. K. (2015) · Journal of Medical Internet Research · doi:10.2196/jmir.4351 · Cited by 33 · see citing works
“One study indicated that although higher motivation was associated with greater adherence, low and moderate levels were related to better outcomes, perhaps due to unrealistic expectations and proneness to disappointment for highly motivated participants [57].”
InfluentialLamela, D., Cabral, J., Coelho, S., & Jongenelen, I. (2020) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2020.104076 · Cited by 27 · see citing works
Internet-delivered mental health treatment systems in Scandinavia – A usability evaluation
Yogarajah, A., Kenter, R. M. F., Lamo, Y., Kaldo, V., & Nordgreen, T. (2020) · Internet Interventions · doi:10.1016/j.invent.2020.100314 · Cited by 27 · see citing works
“One important finding that emerges from earlier meta-analytic studies of Internet-delivered treatments is the positive correlation between time spent on the program and clinical effects (Farrer et al., 2014; Baumeister et al., 2014; Karyotaki et al., 2018).”
BackgroundYew, R. Y., Dobson, K. S., Zyphur, M. J., & Kazantzis, N. (2019) · Cognitive Therapy and Research · doi:10.1007/s10608-019-10059-2 · Cited by 26 · see citing works
Chen, A., Komi, M. M., Bessler, S., Mikles, S. P., & Zhang, Y. (2023) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2023.104439 · Cited by 21 · see citing works
Marinova, N., Rogers, T., & MacBeth, A. M. (2022) · Journal of Affective Disorders · doi:10.1016/j.jad.2022.05.058 · Cited by 18 · see citing works
Nation, J., Wertheim, E., & Worthington, E. (2018) · Journal of Clinical Psychology · doi:10.1002/jclp.22557 · Cited by 16 · see citing works
Bur, O. T., Bielinski, L. L., Krauss, S., Häfliger, A., Guggisberg, J., Krieger, T., & Berger, T. (2022) · Internet Interventions · doi:10.1016/j.invent.2022.100593 · Cited by 14 · see citing works
Batterham, P., Gulliver, A., Sunderland, M., Farrer, L., Kay-Lambkin, F. J., Trias, A., & Calear, A. (2023) · Journal of Medical Internet Research · doi:10.2196/41663 · Cited by 13 · see citing works
“…factors influencing adherence to or ongoing engagement with the program; these factors include female gender [11], sufficient time [11], less severe symptoms at baseline [12,13], younger age [12], or realization of sufficient benefit without completing the full intervention [11,12,14-16].”
Self-citationJohnsen, H., & Haddeland, K. (2021) · Internet Interventions · doi:10.1016/j.invent.2021.100389 · Cited by 11 · see citing works
Effectiveness of iFightDepression ® online guided self-help tool in depression: A pilot study
Varga, A., Czeglédi, E., Tóth, M. D., & Purebl, G. (2022) · Journal of Telemedicine and Telecare · doi:10.1177/1357633x221084584 · Cited by 13 · see citing works
“37,38 The aim of this study was to examine the effectiveness of the iFightDepression ® guided online self-help tool with additional weekly phone call support versus no extra weekly support and treatment as usual (TAU).”
MethodResultInvestigating the Role of Individual Differences in Adherence to Cognitive Training
Tullo, D., Feng, Y., Pahor, A., Cote, J. M., Seitz, A. R., & Jaeggi, S. M. (2023) · Journal of Cognition · doi:10.5334/joc.315 · Cited by 11 · see citing works
Computer und Psychotherapie – geht das zusammen?
Schuster, R., Berger, T., & Laireiter, A. (2017) · Psychotherapeut · doi:10.1007/s00278-017-0214-8 · Cited by 10 · see citing works
“Hierzu zählen etwa frei verfügbare Zeit oder soziale Unterstützung aus dem näheren Umfeld (Gerhards et al. 2011; Donkin und Glozier 2012; Farrer et al. 2013).”
BackgroundCastro, A., García‐Palacios, A., del Hoyo, Y. L., Mayoral, F., Pérez-Ara, M. Á., Baños, R. M., García‐Campayo, J., Hurtado, M. M., Botella, C., Barceló‐Soler, A., et al. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph18041774 · Cited by 9 · see citing works
“In particular, it has been shown that females [24,26] and younger individuals are more likely to adhere to online interventions [21,24,25].”
BackgroundResultCiuca, A., Berger, T., Crişan, L. G., & Miclea, M. (2016) · BMC Psychiatry · doi:10.1186/s12888-016-0709-9 · Cited by 8 · see citing works
“For example, treatment adherence was considered as a potential predictor variable, but there are inconsistencies, with some studies finding an association between adherence and clinical outcomes [66–68] and others not [65, 69, 70].”
ResultLiu, C., Messer, M., Linardon, J., & Fuller‐Tyszkiewicz, M. (2025) · Frontiers in Digital Health · doi:10.3389/fdgth.2025.1380088 · Cited by 7 · see citing works
“To date, much of the empirical work in the digital health fi eld investigating predictors of engagement have been largely limited to baseline data, particularly in studies measuring drivers like motivation and self-ef fi cacy (6, 13, 27, 76, 77).”
McGillivray, L., Keng-Meng Hui, N., Wong, Q. J. J., Han, J., Qian, J., & Torok, M. (2023) · JMIR Mental Health · doi:10.2196/44862 · Cited by 7 · see citing works
“…associations between depression and treatment dropout may be moderated by the psychological effort required to sustain treatment adherence [31,43], this study suggests that loneliness is not an independent nor significant factor that exacerbates this nonadherence, at least for brief…”
Hanano, M., Rith‐Najarian, L., Gong-Guy, E., & Chavira, D. A. (2024) · JMIR Formative Research · doi:10.2196/56118 · Cited by 6 · see citing works
“Some studies found higher motivation predicted more symptom improvement [19], others found higher motivation predicted less symptom improvement [21,22], and some others still found evidence of no significant moderation [19,22].”
Hildebrand-Burke, C., Davey, C. G., Gwini, S. M., Catania, L., & Kazantzis, N. (2023) · Psychotherapy Research · doi:10.1080/10503307.2023.2267166 · Cited by 6 · see citing works
“There was no support for baseline depressive symptoms moderating the competence-engagement relationship (see also Farrer et al., 2014; Rogers et al., 2018; Stirman et al., 2018).”
BackgroundHanusová, J., Štěpánková, T., Tomanová, J., Dočkalová, S., & Papežová, H. (2015) · Advances in medical technologies and clinical practice book series · doi:10.4018/978-1-4666-9522-1.ch017 · Cited by 5 · see citing works
Ryan, A. T., Brenner, L. A., Ulmer, C. S., Mackintosh, M., & Greene, C. J. (2023) · JMIR Formative Research · doi:10.2196/40104 · Cited by 5 · see citing works
“Having clear motivations for behavioral change and the belief that an intervention will facilitate that change is important for user engagement [40,41].”
BackgroundSieverink, F. (2017) · doi:10.3990/1.9789036544177 · Cited by 5 · see citing works
Schuster, R., Berger, T., & Laireiter, A. (2018) · doi:10.7892/boris.113561 · Cited by 4 · see citing works
Townsend, A. N., Hertz, A. G., D’Souza, J. M., & Wiese, A. D. (2022) · Advances in Psychiatry and Behavioral Health · doi:10.1016/j.ypsc.2022.05.003 · Cited by 4 · see citing works
Löbner, M., Dorow, M., Pabst, A., Stein, J., Kersting, A., Luppa, M., König, H., & Riedel-Heller, S. G. (2019) · Fortschritte der Neurologie · Psychiatrie · doi:10.1055/a-0849-9802 · Cited by 4 · see citing works
Self-help behaviour of Canadians with perceived needs for mental health care.
MacKenzie, M. B., & Kocovski, N. L. (2016) · Canadian Psychology/Psychologie canadienne · doi:10.1037/cap0000050 · Cited by 2 · see citing works
Binet, É., Ouellet, M., Lebel, J., Békés, V., Morin, C. M., & Belleville, G. (2022) · Journal of Clinical Medicine · doi:10.3390/jcm11226649 · Cited by 2 · see citing works
“, number of logins and number of completed modules [7,23].”
BackgroundPuolakanaho, A., Kaipainen, K., Keinonen, K., Lappalainen, P., Lappalainen, R. I., & Kiuru, N. H. (2023) · Child & Family Behavior Therapy · doi:10.1080/07317107.2023.2270544 · Cited by 1 · see citing works
“In addition, higher level of education has been found to be positively related to adherence (Batterham et al., 2008), which may reflect the fact that engagement with (partly text-based) online interventions may require relatively good verbal and critical thinking skills (Farrer et al., 2014).”
BackgroundHanusová, J., Štěpánková, T., Tomanová, J., Dočkalová, S., & Papežová, H. (2016) · IGI Global eBooks · doi:10.4018/978-1-5225-0778-9.ch012 · Cited by 1 · see citing works
Persuasive Mobile NOW Interactions
Barendregt, R., & Wasson, B. (2022) · Lecture notes in computer science · doi:10.1007/978-3-031-05412-9_22 · Cited by 1 · see citing works
- Authors
- Farrer, L. M., Griffiths, K. M., Christensen, H., Mackinnon, A. J., & Batterham, P. J.
- Affiliations
- Australian National University (AU)
- Black Dog Institute (AU)
- The University of Melbourne (AU)
- Corresponding author
- Farrer, Louise M.
- ORCID
- Venue
- Cognitive Therapy and Research
- Published
- 2013-10-27
- Volume
- 38
- Issue
- 3
- Pages
- 358-367
- ISSN
- 0147-5916 (ISSN-L)
- 1573-2819
- OpenAlex
- W2017400726
- Cited by
- 47
- References
- 54
- Citations by year
- 2025: 1 · 2024: 1 · 2023: 8 · 2022: 6 · 2021: 6 · 2020: 4 · 2019: 2 · 2018: 1 · 2017: 7 · 2016: 8 · 2015: 3
- FWCI
- 5.17
- Type
- journal article
- Language
- en
- Open access
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Cognitive Therapy and Research (publishedVersion)
- Minerva Access (University of Melbourne) (submittedVersion)
- ANU Open Research (Australian National University) (submittedVersion)
- Funders
- Medical Research Council
- Australian Research Council (LP0667970)
- National Health and Medical Research Council (1035262, 525413, 525411)
- Topics
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Telemedicine and Telehealth Implementation
- Keywords
- internet-based cognitive behavioral therapy, medication adherence, depression, predictors of treatment outcome, motivation, baseline depression severity, online psychoeducation, treatment discontinuation, predictors of adherence
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