Early hypoglycaemia and adherence after basal insulin initiation in a nationally representative sample of Medicare beneficiaries with type 2 diabetes
Open accessAbstract
Aims: To estimate risk factors associated with early hypoglycaemia and its impact on adherence to and persistence with therapy in Medicare Part D beneficiaries with type 2 diabetes who are initiating basal insulin (BI). Materials and methods: This retrospective analysis used a 5% sample of Medicare files from 2007–2013, identifying beneficiaries with type 2 diabetes initiating BI from 1 January 2008 to 31 December 2012. Early hypoglycaemia was defined as ≥1 hypoglycaemic event ≤6 months postindex. Outcomes included medication adherence and persistence over 12‐ and 36‐month follow‐up. Multivariable logistic and Cox regression analyses were conducted to examine factors associated with early hypoglycaemia and BI adherence/persistence. Results: Of the 14 466 included patients, 1315 (9.1%) experienced hypoglycaemia ≤6 months after initiating BI. Factors associated with early hypoglycaemia were female sex (odds ratio [OR] 1.16 [95% confidence interval [CI] 1.02–1.32]), receipt of a low‐income subsidy under Medicare Part D (OR 1.20 [95% CI 1.01–1.43]), high diabetes complication score index (OR 1.08 [95% CI 1.01–1.15]), and hypoglycaemia during the baseline period (OR 4.24 [95% CI 3.63–4.96]). At 12 months, patients with baseline hypoglycaemia were less likely to be adherent to (OR 0.81 [95% CI 0.70–0.93]) and more likely to discontinue (OR 1.33 [95% CI 1.07–1.66]) their insulin therapy. Results were similar at 36 months. Conclusions: Within 6 months of BI initiation, almost 1 in 10 Medicare Part D beneficiaries experienced hypoglycaemia. Early hypoglycaemia was associated with decreased adherence to BI treatment over 12‐ and 36‐month follow‐up.
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Written from the paper’s full text.
TL;DR
In a 5% Medicare sample of 14,466 beneficiaries with type 2 diabetes initiating basal insulin, 9.1% experienced hypoglycaemia within 6 months. Early hypoglycaemia was associated with lower 12-month adherence and greater discontinuation/persistence gaps over 12 and 36 months.
Key findings
- Early hypoglycaemia occurred in 1315 of 14,466 patients (9.1%) within 6 months of basal insulin initiation. Factors associated with early hypoglycaemia included female sex (OR 1.16, 95% CI 1.02–1.32), full low-income subsidy status (OR 1.20, 95% CI 1.01–1.43), higher adapted Diabetes Complications Severity Index (OR 1.08, 95% CI 1.01–1.15), and baseline hypoglycaemia (OR 4.24, 95% CI 3.63–4.96).
- At 12 months, patients with early hypoglycaemia were less likely to be adherent to basal insulin (observed adherence 20.6% vs 25.0%; OR 0.81, 95% CI 0.70–0.93) and more likely to discontinue therapy (observed discontinuation 13.5% vs 10.1%; OR 1.33, 95% CI 1.07–1.66).
- At 36 months, early hypoglycaemia remained associated with higher odds of insulin discontinuation (OR 1.31, 95% CI 1.03–1.67) and a higher hazard of time to discontinuation (HR 1.22, 95% CI 1.04–1.44); the association with 3-year adherence was not statistically significant (OR 0.84, P = .226).
Methods
- Retrospective cohort study using a 5% sample of Medicare files from 2007–2013, identifying beneficiaries with type 2 diabetes newly initiating basal insulin from 1 January 2008 to 31 December 2012.
- Inclusion required continuous Medicare fee-for-service Parts A/B and Part D coverage during baseline and follow-up, ≥1 inpatient or ≥2 outpatient type 2 diabetes claims, and ≥1 oral antidiabetes drug or GLP-1 receptor agonist claim at baseline; exclusions included type 1 diabetes and prior basal insulin claims.
- Early hypoglycaemia was defined as ≥1 hypoglycaemic event ≤6 months postindex; adherence was measured by proportion of days covered (PDC ≥0.80), and persistence by time to a ≥90-day gap. Multivariable logistic and Cox regression analyses examined factors associated with early hypoglycaemia and adherence/persistence.
Limitations
- The authors state that adherence and ≥90-day gap measures were based on filled basal insulin claims and did not indicate whether insulin was taken as prescribed; claims also lacked reasons for non-adherence or gaps.
- The authors state that claims data lack clinical details such as HbA1c and renal function markers, and that claims-based hypoglycaemia is likely underreported because only ICD-9-CM/ICD-10-CM codes associated with healthcare encounters are captured.
- The authors state that this was observational rather than randomized, so unmeasured confounders could bias estimates; pharmacy claims only capture prescriptions paid by Part D plans, not cash payments or free samples, and the analysis assumed no discarding, hoarding, or wasting of insulin.
Model-written summary. Check it against the paper before relying on it.
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Claims the paper makes
0 of 17 cited sources checked · 0 supported · 0 flagged
- Findingown data
Of 14,466 Medicare beneficiaries with type 2 diabetes initiating basal insulin, 1315 (9.1%) experienced hypoglycaemia within 6 months after initiation.
“Of the 14 466 included patients, 1315 (9.1%) experienced hypoglycaemia ≤6 months after initiating BI.”
- Also stated in: § 3.1 | Sample characteristics · plain
“In this sample, 1315 (9.1%) patients experienced hypoglycaemia during the first 6 months of BI therapy.”
- Also stated in: § 4 | DISCUSSION · plain
“We found that early hypoglycaemia occurred in 9.1% of Medicare patients with type 2 diabetes who initiated BI.”
Quote in the paperSubstantial claim- Rests on an assumption: The 5% sample of Medicare files is nationally representative of Medicare Part D beneficiaries with type 2 diabetes initiating basal insulin.
- Also stated in: § 3.1 | Sample characteristics · plain
- Findingown data
There was no statistically significant association between early hypoglycaemia and 3-year adherence (OR 0.84; P = .226).
“There was no statistically significant association between early hypoglycaemia and 3-year adherence (OR 0.84; P = .226).”
Quote in the paperSubstantial claim- Rests on an assumption: The 5% sample of Medicare files is nationally representative of Medicare Part D beneficiaries with type 2 diabetes initiating basal insulin.
- Findingown data
A larger number of inpatient claims with type 2 diabetes as the primary diagnosis is associated with early hypoglycaemia in Medicare beneficiaries with type 2 diabetes initiating basal insulin (P = .003).
“having a larger number of inpatient claims with type 2 diabetes (P = .003)”
- Also stated in: § 4 | DISCUSSION · plain
“The risk for early hypoglycaemia was significantly associated with female sex, LIS status, inpatient resource use, higher aDCSI, presence of connective tissue/rheumatic disease, and hypoglycaemia during the baseline period.”
Quote in the paperSubstantial claim- Rests on an assumption: The 5% sample of Medicare files is nationally representative of Medicare Part D beneficiaries with type 2 diabetes initiating basal insulin.
- Also stated in: § 4 | DISCUSSION · plain
- Findingown data
Female sex is associated with early hypoglycaemia in Medicare beneficiaries with type 2 diabetes initiating basal insulin (OR 1.16, 95% CI 1.02-1.32).
“Factors associated with early hypoglycaemia were female sex (odds ratio [OR] 1.16 [95% confidence interval [CI] 1.02-1.32])”
- Also stated in: § 3.2 | Factors associated with early hypoglycaemia · plain
“Baseline factors associated with early hypoglycaemia in the multivariable logistic regression were female sex (P = .026)”
- Also stated in: § 4 | DISCUSSION · plain
“The risk for early hypoglycaemia was significantly associated with female sex, LIS status, inpatient resource use, higher aDCSI, presence of connective tissue/rheumatic disease, and hypoglycaemia during the baseline period.”
Quote in the paperSubstantial claim- Rests on an assumption: The 5% sample of Medicare files is nationally representative of Medicare Part D beneficiaries with type 2 diabetes initiating basal insulin.
- Also stated in: § 3.2 | Factors associated with early hypoglycaemia · plain
- Findingown data
Over 36-month follow-up, patients with early hypoglycaemia had higher odds of insulin discontinuation (OR 1.31, 95% CI 1.03-1.67).
“Multivariable analysis results over the 36-month follow-up period similarly showed that patients with early hypoglycaemia had higher odds of insulin discontinuation (OR 1.31 [95% CI 1.03-1.67]).”
Quote in the paperSubstantial claim- Rests on an assumption: The 5% sample of Medicare files is nationally representative of Medicare Part D beneficiaries with type 2 diabetes initiating basal insulin.
- Findingown data
Hypoglycaemia during the baseline period is associated with early hypoglycaemia in Medicare beneficiaries with type 2 diabetes initiating basal insulin (OR 4.24, 95% CI 3.63-4.96).
“hypoglycaemia during the baseline period (OR 4.24 [95% CI 3.63-4.96])”
- Also stated in: § 4 | DISCUSSION · plain
“The risk for early hypoglycaemia was significantly associated with female sex, LIS status, inpatient resource use, higher aDCSI, presence of connective tissue/rheumatic disease, and hypoglycaemia during the baseline period.”
Quote in the paperSubstantial claim- Rests on an assumption: The 5% sample of Medicare files is nationally representative of Medicare Part D beneficiaries with type 2 diabetes initiating basal insulin.
- Also stated in: § 4 | DISCUSSION · plain
- Findingown data
Early hypoglycaemia is associated with a higher hazard ratio of time to insulin discontinuation during 36-month follow-up (HR 1.22, 95% CI 1.04-1.44).
“and during the 36-month follow-up (HR 1.22 [95% CI 1.04-1.44]).”
Quote in the paperSubstantial claim- Rests on an assumption: The 5% sample of Medicare files is nationally representative of Medicare Part D beneficiaries with type 2 diabetes initiating basal insulin.
- Findingown data
Presence of connective tissue disease/rheumatic disease is associated with early hypoglycaemia in Medicare beneficiaries with type 2 diabetes initiating basal insulin (P = 0.002).
“the presence of connective tissue disease/rheumatic disease (P = 0.002)”
- Also stated in: § 4 | DISCUSSION · plain
“The risk for early hypoglycaemia was significantly associated with female sex, LIS status, inpatient resource use, higher aDCSI, presence of connective tissue/rheumatic disease, and hypoglycaemia during the baseline period.”
Quote in the paperSubstantial claim- Rests on an assumption: The 5% sample of Medicare files is nationally representative of Medicare Part D beneficiaries with type 2 diabetes initiating basal insulin.
- Also stated in: § 4 | DISCUSSION · plain
- Findingown data
Receipt of a low-income subsidy under Medicare Part D is associated with early hypoglycaemia in Medicare beneficiaries with type 2 diabetes initiating basal insulin (OR 1.20, 95% CI 1.01-1.43).
“receipt of a low-income subsidy under Medicare Part D (OR 1.20 [95% CI 1.01-1.43])”
- Also stated in: § 3.2 | Factors associated with early hypoglycaemia · plain
“being a full LIS patient (P = 0.043)”
- Also stated in: § 4 | DISCUSSION · plain
“The risk for early hypoglycaemia was significantly associated with female sex, LIS status, inpatient resource use, higher aDCSI, presence of connective tissue/rheumatic disease, and hypoglycaemia during the baseline period.”
Quote in the paperSubstantial claim- Rests on an assumption: The 5% sample of Medicare files is nationally representative of Medicare Part D beneficiaries with type 2 diabetes initiating basal insulin.
- Also stated in: § 3.2 | Factors associated with early hypoglycaemia · plain
- Findingown data
Early hypoglycaemia is associated with a higher hazard ratio of time to insulin discontinuation during 12-month follow-up (HR 1.31, 95% CI 1.07-1.61).
“Cox regression showed that early hypoglycaemia was associated with a higher hazard ratio (HR) of time to insulin discontinuation during the 12-month follow-up (HR 1.31; [95% CI 1.07-1.61)”
Quote in the paperSubstantial claim- Rests on an assumption: The 5% sample of Medicare files is nationally representative of Medicare Part D beneficiaries with type 2 diabetes initiating basal insulin.
- Findingown data
At 12 months, patients with early hypoglycaemia were less likely to be adherent to basal insulin than those without early hypoglycaemia (observed adherence 20.6% vs 25%; OR 0.81, 95% CI 0.70-0.93).
“At 12 months, patients with baseline hypoglycaemia were less likely to be adherent to (OR 0.81 [95% CI 0.70-0.93])”
- Also stated in: § 3.3 | Association of early hypoglycaemia and insulin adherence and persistence · plain
“Over the 12-month follow-up, patients with early hypoglycaemia were less likely to be adherent to ( observed adherence 20.6% vs 25%; odds ratio [OR] based on multivariable logistic regression 0.81 [95% confidence interval [CI] 0.70-0.93])”
Quote in the paperSubstantial claim- Rests on an assumption: The 5% sample of Medicare files is nationally representative of Medicare Part D beneficiaries with type 2 diabetes initiating basal insulin.
- Also stated in: § 3.3 | Association of early hypoglycaemia and insulin adherence and persistence · plain
- Findingown data
High diabetes complication score index (aDCSI) is associated with early hypoglycaemia in Medicare beneficiaries with type 2 diabetes initiating basal insulin (OR 1.08, 95% CI 1.01-1.15).
“high diabetes complication score index (OR 1.08 [95% CI 1.01-1.15])”
- Also stated in: § 3.2 | Factors associated with early hypoglycaemia · plain
“having a high adapted Diabetes Complications Severity Index (aDCSI) (P = .029)”
- Also stated in: § 4 | DISCUSSION · plain
“The risk for early hypoglycaemia was significantly associated with female sex, LIS status, inpatient resource use, higher aDCSI, presence of connective tissue/rheumatic disease, and hypoglycaemia during the baseline period.”
Quote in the paperSubstantial claim- Rests on an assumption: The 5% sample of Medicare files is nationally representative of Medicare Part D beneficiaries with type 2 diabetes initiating basal insulin.
- Also stated in: § 3.2 | Factors associated with early hypoglycaemia · plain
- Findingown data
Female sex was associated with increased odds of early hypoglycaemia (OR 1.16, 95% CI 1.02-1.32, p=.026).
“Sex Female 1.16 1.02-1.32.026”
Quote in the paperNot a substantial claim - Findingown data
Early hypoglycaemia was associated with poorer persistence with basal insulin (greater odds of ≥90-day gap) during 12-month follow-up (OR 1.33, 95% CI 1.07-1.66, p=.01).
“Having ≥90-day gap on insulin a During 12-mo.follow-up 1.33 (1.07-1.66).01”
- Also stated in: § 4 | DISCUSSION · plain
“Moreover, patients who experienced early hypoglycaemia had poorer adherence to and persistence with BI treatment.”
Quote in the paperSubstantial claim- The authors state this as an assumption: For the purposes of the present study, patients' prescriptions were filled as the drug was needed, and patients were not discarding, hoarding or wasting unused insulin.
- Also stated in: § 4 | DISCUSSION · plain
- Findingown data
Early hypoglycaemia was associated with shorter time to first ≥90-day gap during 36-month follow-up (HR 1.22, 95% CI 1.04-1.44, p=.014).
“During 36-mo.follow-up 1.22 (1.04-1.44).014”
Quote in the paperSubstantial claim- The authors state this as an assumption: For the purposes of the present study, patients' prescriptions were filled as the drug was needed, and patients were not discarding, hoarding or wasting unused insulin.
- Findingown data
Early hypoglycaemia was associated with poorer adherence to basal insulin (PDC ≥0.80) during 12-month follow-up (OR 0.81, 95% CI 0.70-0.93, p=.003).
“Adherence (PDC ≥0.80) to insulin During 12-mo.follow-up 0.81 (0.70-0.93) .003”
- Also stated in: § 4 | DISCUSSION · plain
“Moreover, patients who experienced early hypoglycaemia had poorer adherence to and persistence with BI treatment.”
Quote in the paperSubstantial claim- The authors state this as an assumption: For the purposes of the present study, patients' prescriptions were filled as the drug was needed, and patients were not discarding, hoarding or wasting unused insulin.
- Also stated in: § 4 | DISCUSSION · plain
- Findingown data
Early hypoglycaemia was associated with shorter time to first ≥90-day gap during 12-month follow-up (HR 1.31, 95% CI 1.07-1.61, p=.01).
“Cox regression (time to ≥90-day gap) a HR (95% CI) During 12-mo.follow-up 1.31 (1.07-1.61).01”
Quote in the paperSubstantial claim- The authors state this as an assumption: For the purposes of the present study, patients' prescriptions were filled as the drug was needed, and patients were not discarding, hoarding or wasting unused insulin.
- Findingown data
During 36-month follow-up, early hypoglycaemia was not significantly associated with adherence (OR 0.84, 95% CI 0.64-1.11, p=.226).
“During 36-mo.follow-up 0.84 (0.64-1.11) .226”
Quote in the paperSubstantial claim- The authors state this as an assumption: For the purposes of the present study, patients' prescriptions were filled as the drug was needed, and patients were not discarding, hoarding or wasting unused insulin.
- Findingown data
Full low-income subsidy (LIS) status was associated with increased odds of early hypoglycaemia (OR 1.20, 95% CI 1.01-1.43, p=.043).
“Part D LIS status None-LIS Reference Full-LIS 1.20 1.01-1.43.043”
- Also stated in: § 4 | DISCUSSION · plain
“A unique finding of the present study is the observed association between increased hypoglycaemia risk and Medicare LIS.”
Quote in the paperSubstantial claim - Also stated in: § 4 | DISCUSSION · plain
- Findingown data
Patients who experienced early hypoglycaemia were more likely to have full low-income subsidy status than those without early hypoglycaemia (63.65% vs 58.65%, P < 0.001).
“Patients who experienced early hypoglycaemia more likely to have full LIS status (63.65% vs 58.65%, P < 0.001).”
Quote in the paperNot a substantial claim- Rests on an assumption: The 5% sample of Medicare files is nationally representative of Medicare Part D beneficiaries with type 2 diabetes initiating basal insulin.
- Findingown data
Early hypoglycaemia was associated with increased risk of ≥90-day gap during 36-month follow-up (OR 1.31, 95% CI 1.03-1.67, p=.025).
“During 36-mo.follow-up 1.31 (1.03-1.67).025”
Quote in the paperSubstantial claim- The authors state this as an assumption: For the purposes of the present study, patients' prescriptions were filled as the drug was needed, and patients were not discarding, hoarding or wasting unused insulin.
- Findingown data
In Medicare Part D patients with type 2 diabetes starting basal insulin, almost 1 in 10 experienced hypoglycaemia within 6 months of initiation.
“In this analysis, almost 1 in 10 Medicare Part D patients starting BI therapy experienced hypoglycaemia within 6 months of initiation.”
Quote in the paperSubstantial claim - Interpretationcitation
The real rate of hypoglycaemia is probably higher than the observed 9.1% because events not captured in claims data were not included, so the incidence is underreported.
“The real rate of hypoglycaemia is probably even higher as hypoglycaemia events that were not captured in claims data were not included, with the result that the incidence of hypoglycaemia is underreported.19,25”
Quote in the paperNot a substantial claim0 of 2 sources checked- Rests on an assumption: The 5% sample of Medicare files is nationally representative of Medicare Part D beneficiaries with type 2 diabetes initiating basal insulin.
- Interpretationcitation
Our findings are consistent with a recent electronic medical record data analysis showing that patients with type 2 diabetes who have hypoglycaemia within the first 6 months after initiating basal insulin were at increased risk of discontinuing insulin compared with those who did not experience early hypoglycaemia.
“Our findings are consistent with a recent electronic medical record data analysis showing that patients with type 2 diabetes who have hypoglycaemia that occurs within the first 6 months after initiating BI were at an increased risk of discontinuing insulin compared with those who did not experience early hypoglycaemia.15”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [15] source
Not checked in the free run.
- Premisecitation
Older patients are at higher risk of hypoglycaemia because of age-related changes in renal and hepatic metabolism, co-morbid illness, and polypharmacy.
“Older patients make up the majority of patients with type 2 diabetes and are at a higher risk of hypoglycaemia because of a number of factors, including age-related changes in renal and hepatic metabolism, co-morbid illness, and polypharmacy.3,16”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [3]
Not checked in the free run.
- cites [16] source
Not checked in the free run.
- Premisecitation
Patients who are concerned about hypoglycaemia are more likely to discontinue their insulin therapy.
“Additionally, patients who are concerned about hypoglycaemia are more likely to discontinue their insulin therapy.14”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [14] source
Not checked in the free run.
- Interpretationown data
Early hypoglycaemia is associated with decreased adherence to basal insulin treatment over 12- and 36-month follow-up.
“Early hypoglycaemia was associated with decreased adherence to BI treatment over 12-and 36-month follow-up.”
Quote in the paperSubstantial claim- Rests on an assumption: The 5% sample of Medicare files is nationally representative of Medicare Part D beneficiaries with type 2 diabetes initiating basal insulin.
- Study design and conductcitation
Claims data are often inherently prone to underrepresenting hypoglycaemia as only ICD-9-CM/ICD-10-CM codes associated with a healthcare encounter are captured.
“Furthermore, claims data are often inherently prone to underrepresenting hypoglycaemia as only ICD-9-CM/ICD-10-CM codes associated with a healthcare encounter are captured.19,25,31”
Quote in the paperNot a substantial claim0 of 3 sources checked - Study design and conductown data
The adherence and ≥90-day gap measures were based on claims filled for basal insulin that did not indicate whether the basal insulin was taken by the patients as prescribed.
“First, the adherence and ≥ 90-day gap measures were based on claims filled for BI that did not indicate whether the BI was taken by the patients as prescribed.”
Quote in the paperNot a substantial claim- The authors state this as an assumption: For the purposes of the present study, patients' prescriptions were filled as the drug was needed, and patients were not discarding, hoarding or wasting unused insulin.
- Study design and conductreasoning
To reduce the concern of unmeasured confounding, the study conducted comprehensive risk adjustment using claims data on patients' co-morbidities, diabetes complications/severity, preindex medication use, and other risk factors (eg age).
“To reduce this concern, we conducted a comprehensive risk adjustment by coding from the claims data information on patients' co-morbidities, diabetes complications/severity, preindex medication use, and other risk factors (eg age).”
Quote in the paperSubstantial claim - Interpretationown data
Reducing the incidence of early hypoglycaemia has the potential to improve insulin adherence and outcomes for patients with type 2 diabetes.
“Reducing the incidence of early hypoglycaemia has the potential to improve insulin adherence and outcomes for patients with type 2 diabetes.”
Quote in the paperSubstantial claim- The authors state this as an assumption: For the purposes of the present study, patients' prescriptions were filled as the drug was needed, and patients were not discarding, hoarding or wasting unused insulin.
- May combine two claims. 5
- Classified as probably not a substantial claim. 8
May combine two claims.
Findingown dataPatients who experienced early hypoglycaemia were more likely to have a history of hypoglycaemia and certain co-morbid illnesses during the baseline period.
“They were also more likely to have a history of hypoglycaemia and co-morbid illnesses (e.g myocardial infarction, congestive heart failure, and peripheral vascular disease, cerebrovascular disease, peptic ulcer disease, and chronic renal disease) during the baseline period.”
Quote in the paperNot a substantial claim- Rests on an assumption: The 5% sample of Medicare files is nationally representative of Medicare Part D beneficiaries with type 2 diabetes initiating basal insulin.
Classified as probably not a substantial claim. May combine two claims.
PremisecitationAmong patients with type 2 diabetes who initiate basal insulin, only about 30% achieve their individual glycaemic target, primarily because fear of hypoglycaemia limits proper titration.
“Among patients with type 2 diabetes who initiate BI, only about 30% achieve their individual glycaemic target, primarily because a fear of hypoglycaemia limits proper titration.10,13”
Quote in the paperSubstantial claim0 of 2 sources checkedClassified as probably not a substantial claim. May combine two claims.
PremisecitationPatients who initiate insulin may experience early hypoglycaemia within 6 months of initiation, which may lead to poor insulin adherence and a higher risk of hospitalization, especially in older and disabled patients.
“Furthermore, patients who do initiate insulin may experience early hypoglycaemia (ie within 6 months of initiation), which may lead to poor insulin adherence and a higher risk of hospitalization, especially in older and disabled patients.15”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [15] source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationThe prescription drug hierarchical condition category (RxHCC) risk score has been used to adjust for potential selection biases in drug-use studies among Medicare patients.
“prescription drug hierarchical condition category (RxHCC) risk score, 21 which has been used to adjust for potential selection biases in drug-use studies among Medicare patients.[22][23][24]”
Quote in the paperNot a substantial claim0 of 3 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationSome factors associated with early hypoglycaemia, such as prior hypoglycaemia, have been associated with hypoglycaemia risk in previous studies.
“Some of these factors, such as prior hypoglycaemia, have been associated with hypoglycaemia risk in previous studies.26,27”
Quote in the paperNot a substantial claim0 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductreasoningPharmacy claims data were only recorded for prescriptions paid for by patients' Part D plans, so claims datasets cannot capture instances when patients paid in cash or received free drug samples.
“Moreover, pharmacy claims data were only recorded for prescriptions that were paid for by the patients' Part D plans.Claims datasets are, therefore, unable to capture instances when patients paid in cash for their prescription or received free drug samples.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductreasoningAs is the case with all administrative claims database studies, the study did not have information on the reasons for non-adherence or gaps for basal insulin.
“Furthermore, as is the case with all administrative claims database studies, we did not have information on the reasons for non-adherence or gaps for BI.”
Quote in the paperNot a substantial claim- The authors state this as an assumption: For the purposes of the present study, patients' prescriptions were filled as the drug was needed, and patients were not discarding, hoarding or wasting unused insulin.
Probably not a substantial claim: may not pass S2 (checkable), S4 (based).
Study design and conductnone givenThere is no reason to believe that the rates of missing or unrecorded prescriptions varied significantly between the two comparison groups.
“Regardless, there is no reason to believe that these rates would have varied significantly between the two comparison groups in our study.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductreasoningClaims data do not include clinical details and therefore fail to capture important disease indicators, such as HbA1c and renal function markers.
“Additionally, claims data do not include clinical details and, therefore, fail to capture important disease indicators, such as HbA1c and renal function markers.”
Quote in the paperNot a substantial claim
The paper relies on this without support.
This study is the first to provide a nationally representative analysis of the Medicare-insured population examining the incidence of hypoglycaemia in new initiators of basal insulin, factors associated with hypoglycaemia, and the association between early hypoglycaemia and adherence/persistence.
“This study is the first to provide a nationally representative analysis of the Medicare-insured population that examines the incidence of hypoglycaemia in new initiators of BI, factors associated with hypoglycaemia, and the association between early hypoglycaemia and patient adherence to and persistence with treatment.”
The paper relies on this without support.
Limited data exist on factors associated with early hypoglycaemia and its effect on adherence in the Medicare-insured population.
“However, limited data exist on these issues in the Medicare-insured population.”
The paper relies on this without support.
The 5% sample of Medicare files is nationally representative of Medicare Part D beneficiaries with type 2 diabetes initiating basal insulin.
“This retrospective analysis used a 5% sample of Medicare files from 2007-2013, identifying beneficiaries with type 2 diabetes initiating BI from 1 January 2008 to 31 December 2012.”
“This study aimed to address this gap in the literature, using a nationally representative sample of Medicare beneficiaries to (a) examine the incidence and risk factors associated with early hypoglycaemia events in Medicare beneficiaries with type 2 diabetes who are newly initiating BI, and (b) examine the association between early hypoglycaemia and BI treatment adherence and persistence.”
The authors state this as an assumption.
For the purposes of the present study, patients' prescriptions were filled as the drug was needed, and patients were not discarding, hoarding or wasting unused insulin.
“For the purposes of the present study, it was assumed that patients' prescriptions were filled as the drug was needed, and patients were not discarding, hoarding or wasting unused insulin.”
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?
Teaching people with diabetes to balance insulin use and carbohydrate intake and physical activity are necessary, but these strategies are not always sufficient for prevention.
“Teaching people with diabetes to balance insulin use and carbohydrate intake and physical activity are necessary, but these strategies are not always sufficient for prevention (77,(103)(104)(105).”
From 6. Glycemic Targets: <i>Standards of Care in Diabetes—2023</i> (2023) · cites this paper as [77]
Some individuals with type 1 diabetes or type 2 diabetes and hypoglycemia who have a fear of hyperglycemia are resistant to relaxation of glycemic targets.
“Conversely, some individuals with type 1 diabetes or type 2 diabetes and hypoglycemia who have a fear of hyperglycemia are resistant to relaxation of glycemic targets (74)(75)(76)(77)(78)(79)(80)(81)(82)(83).”
From 6. Glycemic Targets: <i>Standards of Care in Diabetes—2023</i> (2023) · cites this paper as [77]
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.
Overall White percentage disagrees with Table 1 counts
MinorTable 1 lists 10,215 White patients without early hypoglycaemia and 968 with it. Together, 11,183 of the 14,466 patients are White (77.3%), not 75.64%.
“A total of 14 466 patients met the final study criteria (Figure S1).The mean age of all patients was 69 ± 13 years; most patients were Caucasian (75.64%);”
“White 10 215 (77.67%) 968 (73.61%)”
Abstract attributes early-hypoglycaemia outcomes to baseline hypoglycaemia
MinorThe abstract assigns the 12-month adherence and discontinuation odds ratios to patients with baseline hypoglycaemia. Table 4 identifies those same odds ratios as comparisons of patients with versus without early hypoglycaemia.
“At 12 months, patients with baseline hypoglycaemia were less likely to be adherent to (OR 0.81 [95% CI 0.70-0.93])and more likely to discontinue (OR 1.33 [95% CI 1.07-1.66])their insulin therapy.”
“Characteristic With early hypoglycaemia (vs without as reference) P-value Logistic regression OR (95% CI) Adherence (PDC ≥0.80) to insulin During 12-mo.follow-up 0.81 (0.70-0.93) .003”
Conclusion asserts a 36-month adherence association that results do not support
MinorThe conclusion says early hypoglycaemia was associated with decreased adherence over both follow-up periods, but the results explicitly report no statistically significant association with 3-year adherence.
“Early hypoglycaemia was associated with decreased adherence to BI treatment over 12-and 36-month follow-up.”
“There was no statistically significant association between early hypoglycaemia and 3-year adherence (OR 0.84; P = .226).”
Cites
Standards of medical care in diabetes—2013
American Diabetes Association (2013) · Diabetes Care · doi:10.2337/dc13-s011 · Cited by 4,369 · see citing works
Seaquist, E. R., Anderson, J., Childs, B., Cryer, P., Dagogo-Jack, S., Fish, L., Heller, S. R., Rodriguez, H., Rosenzweig, J., & Vigersky, R. (2013) · Diabetes Care · doi:10.2337/dc12-2480 · Cited by 1,389 · cited 2× · see citing works
“Older patients make up the majority of patients with type 2 diabetes and are at a higher risk of hypoglycaemia because of a number of factors, including age-related changes in renal and hepatic metabolism, co-morbid illness, and polypharmacy.(3,16) Even mild cognitive dysfunction might increase the risk of experiencin…”
BackgroundGarber, A. J., Abrahamson, M. J., Barzilay, J. I., Blonde, L., Bloomgarden, Z. T., Bush, M. A., Dagogo-Jack, S. E., DeFronzo, R. A., EINHORN, D. F., Fonseca, V. A., et al. (2016) · Endocrine Practice · doi:10.4158/ep151126.cs · Cited by 874 · see citing works
The Prevalence of Meeting A1C, Blood Pressure, and LDL Goals Among People With Diabetes, 1988–2010
Stark Casagrande, S., Fradkin, J. E., Saydah, S. H., Rust, K. F., & Cowie, C. C. (2013) · Diabetes Care · doi:10.2337/dc12-2258 · Cited by 719 · see citing works
Clinical Inertia in People With Type 2 Diabetes
Khunti, K. K., Wolden, M. L., Thorsted, B. L., Andersen, M., & Davies, M. J. (2013) · Diabetes Care · doi:10.2337/dc13-0331 · Cited by 615 · see citing works
Psychological Insulin Resistance in Patients With Type 2 Diabetes
Polonsky, W. H., Fisher, L., Guzman, S., Villa-Caballero, L., & Edelman, S. V. (2005) · Diabetes Care · doi:10.2337/diacare.28.10.2543 · Cited by 552 · see citing works
Garber, A. J., Abrahamson, M. J., Barzilay, J. I., Blonde, L., Bloomgarden, Z. T., Bush, M. A., Dagogo-Jack, S., DeFronzo, R. A., Einhorn, D., Fonseca, V. A., et al. (2017) · Endocrine Practice · doi:10.4158/ep161682.cs · Cited by 435 · see citing works
Seaquist, E. R., Anderson, J., Childs, B., Cryer, P., Dagogo-Jack, S., Fish, L., Heller, S. R., Rodriguez, H., Rosenzweig, J., & Vigersky, R. (2013) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2012-4127 · Cited by 412 · see citing works
Becker, R. H. A., Dahmen, R., Bergmann, K., Lehmann, A., Jax, T., & Heise, T. (2015) · Diabetes Care · doi:10.2337/dc14-0006 · Cited by 407 · see citing works
Poor Cognitive Function and Risk of Severe Hypoglycemia in Type 2 Diabetes
Punthakee, Z., Miller, M. E., Launer, L. J., Williamson, J. D., Lazar, R. M., Cukierman-Yaffee, T., Seaquist, E. R., Ismail-Beigi, F., Sullivan, M. D., Lovato, L. C., et al. (2012) · Diabetes Care · doi:10.2337/dc11-1855 · Cited by 337 · see citing works
Paul, S. K., Klein, K., Thorsted, B. L., Wolden, M. L., & Khunti, K. K. (2015) · Cardiovascular Diabetology · doi:10.1186/s12933-015-0260-x · Cited by 303 · see citing works
Smoking and Type 2 Diabetes Mellitus
Chang, S. A. (2012) · Diabetes & Metabolism Journal · doi:10.4093/dmj.2012.36.6.399 · Cited by 239 · see citing works
Identification of barriers to insulin therapy and approaches to overcoming them
Russell‐Jones, D., Pouwer, F., & Khunti, K. (2018) · Diabetes, Obesity and Metabolism · doi:10.1111/dom.13132 · Cited by 238 · see citing works
Validation of ICD-9-CM coding algorithm for improved identification of hypoglycemia visits
Ginde, A. A., Blanc, P. G., Lieberman, R. M., & Camargo, C. A. (2008) · BMC Endocrine Disorders · doi:10.1186/1472-6823-8-4 · Cited by 234 · see citing works
Association between adherence to pharmacotherapy and outcomes in type 2 diabetes: a meta-analysis
Khunti, K., Seidu, S., Kunutsor, S., & Davies, M. (2017) · Diabetes Care · doi:10.2337/dc16-1925 · Cited by 231 · see citing works
Use of Medicare’s diabetes self-management training benefit
Strawbridge, L. M., Lloyd, J. T., Meadow, A., Riley, G. F., & Howell, B. L. (2015) · Health Education & Behavior · doi:10.1177/1090198114566271 · Cited by 152 · see citing works
Avoiding hypoglycemia: a key to success for glucose-lowering therapy in type 2 diabetes
Ahren, B. (2013) · Vascular Health and Risk Management · doi:10.2147/vhrm.s33934 · Cited by 148 · see citing works
Peyrot, M. F., Barnett, A. H., Meneghini, L., & Schumm‐Draeger, P. ‐. (2012) · Diabetes Obesity and Metabolism · doi:10.1111/j.1463-1326.2012.01636.x · Cited by 144 · see citing works
Delay Of Insulin Addition To Oral Combination Therapy Despite Inadequate Glycemic Control
Nichols, G. A., Koo, Y. H., & Shah, S. N. (2007) · Journal of General Internal Medicine · doi:10.1007/s11606-007-0139-y · Cited by 134 · see citing works
Bergenstal, R. M., Bailey, T. S., Rodbard, D., Ziemen, M., Guo, H., Muehlen-Bartmer, I., & Ahmann, A. (2017) · Diabetes Care · doi:10.2337/dc16-0684 · Cited by 122 · see citing works
Yale, J.-F., Paty, B., & Senior, P. A. (2018) · Canadian Journal of Diabetes · doi:10.1016/j.jcjd.2017.10.010 · Cited by 105 · see citing works
Khunti, K. K., Wolden, M. L., Thorsted, B. L., Andersen, M., & Davies, M. J. (2014) · Cited by 87 · see citing works
Berard, L., Bonnemaire, M., Mical, M., & Edelman, S. (2018) · Diabetes, Obesity and Metabolism · doi:10.1111/dom.13064 · Cited by 69 · see citing works
Li, P., McElligott, S., Bergquist, H., Schwartz, J. S., & Doshi, J. A. (2012) · Annals of Internal Medicine · doi:10.7326/0003-4819-156-11-201206050-00004 · Cited by 65 · see citing works
Self-citationDiagnosis-based risk adjustment for medicare prescription drug plan payments.
Robst, J. M., Levy, J. M., & Ingber, M. J. (2007) · PubMed · Cited by 63 · see citing works
Doshi, J. A., Li, P., & Puig, A. (2010) · Arthritis Care & Research · doi:10.1002/acr.20010 · Cited by 18 · see citing works
Self-citationReal-World Evaluation of the Effects of Counseling and Education in Diabetes Management
Dalal, M. R., Robinson, S. B., & Sullivan, S. D. (2014) · Diabetes Spectrum · doi:10.2337/diaspect.27.4.235 · Cited by 18 · see citing works
Zaccardi, F., Webb, D. R., Davies, M. J., Dhalwani, N. N., Housley, G., Shaw, D., Hatton, J. W., & Khunti, K. (2017) · Diabetes, Obesity and Metabolism · doi:10.1111/dom.12941 · Cited by 15 · see citing works
Dalal, M. R., Kazemi, M. R., & Ye, F. (2017) · Current Medical Research and Opinion · doi:10.1080/03007995.2016.1248911 · Cited by 14 · see citing works
Nursing’s Role in Courage Development in Patients Facing Complications of Diabetes
Donohue-Porter, P. (2013) · Journal of Holistic Nursing · doi:10.1177/0898010112461975 · Cited by 9 · see citing works
The Italian Society of Emergency Medicine (SIMEU), Veronese, G., Marchesini, G., Forlani, G., & Fabbri, A. (2016) · Acta Diabetologica · doi:10.1007/s00592-016-0844-2 · Cited by 7 · cited 1× · see citing works
“Furthermore, claims data are often inherently prone to underrepresenting hypoglycaemia as only ICD-9-CM/ICD-10-CM codes associated with a healthcare encounter are captured.(19,25,31) In addition, this was an TABLE 1 (Continued)”
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6. Glycemic Targets: <i>Standards of Medical Care in Diabetes—2022</i>
American Diabetes Association Professional Practice Committee (2022) · Diabetes Care · doi:10.2337/dc22-s006 · Cited by 1,403 · see citing works
6. Glycemic Targets: <i>Standards of Medical Care in Diabetes—2021</i>
American Diabetes Association (2021) · Diabetes Care · doi:10.2337/dc21-s006 · Cited by 847 · see citing works
6. Glycemic Targets: <i>Standards of Medical Care in Diabetes—2020</i>
American Diabetes Association (2020) · Diabetes Care · doi:10.2337/dc20-s006 · Cited by 744 · see citing works
6. Glycemic Targets: <i>Standards of Care in Diabetes—2023</i>
ElSayed, N. A., Aleppo, G., Aroda, V. R., Bannuru, R. R., Brown, F. M., Bruemmer, D., Collins, B. S., Hilliard, M. E., Isaacs, D., Johnson, E. L., et al. (2023) · Diabetes Care · doi:10.2337/dc23-s006 · Cited by 684 · see citing works
Adherence and persistence rates of major antidiabetic medications: a review
Lee, D. S. U., & Lee, H. (2022) · Diabetology & Metabolic Syndrome · doi:10.1186/s13098-022-00785-1 · Cited by 72 · see citing works
- Authors
- Li, P., Geng, Z., Ladage, V. P., Wu, J., Lorincz, I., & Doshi, J. A.
- Affiliations
- University of Pennsylvania (US)
- Sanofi (United States) (US)
- Hospital of the University of Pennsylvania (US)
- Corresponding author
- Doshi, Jalpa A.
- Venue
- Diabetes, Obesity and Metabolism
- Publisher
- Wiley
- Published
- 2019-08-11
- Volume
- 21
- Issue
- 11
- Pages
- 2486-2495
- ISSN
- 1462-8902 (ISSN-L)
- 1463-1326
- OpenAlex
- W2959518125
- Semantic Scholar
- fd7f0c91f03bff8d70286c934277426ac701f3d6
- Cited by
- 13
- References
- 31
- Citations by year
- 2026: 1 · 2024: 2 · 2023: 1 · 2022: 4 · 2021: 1 · 2020: 2 · 2019: 2
- FWCI
- 1.83
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Diabetes Obesity and Metabolism (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- Funders
- Sanofi
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Treatment and Management
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Health Sciences › Medicine › Family Practice › Medication Adherence and Compliance
- Keywords
- type 2 diabetes, basal insulin, hypoglycemia, medication adherence, treatment persistence, insulin therapy discontinuation, low-income subsidy, sex differences
- MeSH terms
- Aged, Aged, 80 and over, Diabetes Mellitus, Type 2, Female, Humans, Hypoglycemia, Hypoglycemic Agents, Insulin, Male, Middle Aged, Retrospective Studies, Risk Factors, United States, Drug Monitoring, Medicare Part D
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.
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