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Bridging the Gap Between Self-Reported and Claims-Derived Adherence Measures for Basal Insulin Among Patients with Type 2 Diabetes Mellitus

INTRODUCTION: Complex or personalized insulin regimens challenge traditional adherence measures. Our objective was to develop an improved basal insulin (BI) adherence measure using both patient-reported and administrative claims data, resulting in a more complete measure. METHODS: Patients’ self-rep...

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Autores principales: Stephenson, Judith J., Bae, Jay P., Raval, Amit D., Kern, David M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Healthcare 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6318230/
https://www.ncbi.nlm.nih.gov/pubmed/30536142
http://dx.doi.org/10.1007/s12325-018-0828-4
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author Stephenson, Judith J.
Bae, Jay P.
Raval, Amit D.
Kern, David M.
author_facet Stephenson, Judith J.
Bae, Jay P.
Raval, Amit D.
Kern, David M.
author_sort Stephenson, Judith J.
collection PubMed
description INTRODUCTION: Complex or personalized insulin regimens challenge traditional adherence measures. Our objective was to develop an improved basal insulin (BI) adherence measure using both patient-reported and administrative claims data, resulting in a more complete measure. METHODS: Patients’ self-reported BI utilization over the previous 12 months was linked with their claims data for the same period. Hybrid medication possession ratio (MPR) was derived by calculating expected days of insulin supply [total dispensed insulin units from claims over 12 months divided by self-reported total daily dose (TDD)]. The hybrid MPR was compared against traditional claims-based MPR, adjusted claims-based MPR, and patient-reported MPR. For all MPR measures, the adherence threshold was ≥ 0.8. A logistic model was used to predict non-adherence per hybrid MPR. The predicted model-based MPR was compared with existing measures in a larger cohort. RESULTS: The study sample consisted of 296 patients. TDD derived from claims was higher than self-reported TDD [77.9 (71.8) vs. 57.7 (38.3)], implying average dispensed insulin would last longer than claims-based days supply. Correspondingly, hybrid and MPRs adjusted for package size (56% and 71%, respectively) were higher than claims-based MPR (50%). Age, total claims-based days supply, retinopathy, adjusted MPR-based adherence, and non-insulin injectable use were key predictors of hybrid MPR-based adherence. Applying the claims-based prediction model to a larger cohort to test validity showed high correlations with predicted and adjusted MPR-based adherence. CONCLUSIONS: Traditional claims-based MPR underestimated adherence while adjusted MPR overestimated adherence when self-reported total daily dose was taken as benchmark insulin dose. The predicted model may help identify patients with poor basal insulin adherence. More research is needed to further confirm the findings. FUNDING: Eli Lilly and Company, Indianapolis, IN, USA. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s12325-018-0828-4) contains supplementary material, which is available to authorized users.
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spelling pubmed-63182302019-01-14 Bridging the Gap Between Self-Reported and Claims-Derived Adherence Measures for Basal Insulin Among Patients with Type 2 Diabetes Mellitus Stephenson, Judith J. Bae, Jay P. Raval, Amit D. Kern, David M. Adv Ther Original Research INTRODUCTION: Complex or personalized insulin regimens challenge traditional adherence measures. Our objective was to develop an improved basal insulin (BI) adherence measure using both patient-reported and administrative claims data, resulting in a more complete measure. METHODS: Patients’ self-reported BI utilization over the previous 12 months was linked with their claims data for the same period. Hybrid medication possession ratio (MPR) was derived by calculating expected days of insulin supply [total dispensed insulin units from claims over 12 months divided by self-reported total daily dose (TDD)]. The hybrid MPR was compared against traditional claims-based MPR, adjusted claims-based MPR, and patient-reported MPR. For all MPR measures, the adherence threshold was ≥ 0.8. A logistic model was used to predict non-adherence per hybrid MPR. The predicted model-based MPR was compared with existing measures in a larger cohort. RESULTS: The study sample consisted of 296 patients. TDD derived from claims was higher than self-reported TDD [77.9 (71.8) vs. 57.7 (38.3)], implying average dispensed insulin would last longer than claims-based days supply. Correspondingly, hybrid and MPRs adjusted for package size (56% and 71%, respectively) were higher than claims-based MPR (50%). Age, total claims-based days supply, retinopathy, adjusted MPR-based adherence, and non-insulin injectable use were key predictors of hybrid MPR-based adherence. Applying the claims-based prediction model to a larger cohort to test validity showed high correlations with predicted and adjusted MPR-based adherence. CONCLUSIONS: Traditional claims-based MPR underestimated adherence while adjusted MPR overestimated adherence when self-reported total daily dose was taken as benchmark insulin dose. The predicted model may help identify patients with poor basal insulin adherence. More research is needed to further confirm the findings. FUNDING: Eli Lilly and Company, Indianapolis, IN, USA. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s12325-018-0828-4) contains supplementary material, which is available to authorized users. Springer Healthcare 2018-12-07 2019 /pmc/articles/PMC6318230/ /pubmed/30536142 http://dx.doi.org/10.1007/s12325-018-0828-4 Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Original Research
Stephenson, Judith J.
Bae, Jay P.
Raval, Amit D.
Kern, David M.
Bridging the Gap Between Self-Reported and Claims-Derived Adherence Measures for Basal Insulin Among Patients with Type 2 Diabetes Mellitus
title Bridging the Gap Between Self-Reported and Claims-Derived Adherence Measures for Basal Insulin Among Patients with Type 2 Diabetes Mellitus
title_full Bridging the Gap Between Self-Reported and Claims-Derived Adherence Measures for Basal Insulin Among Patients with Type 2 Diabetes Mellitus
title_fullStr Bridging the Gap Between Self-Reported and Claims-Derived Adherence Measures for Basal Insulin Among Patients with Type 2 Diabetes Mellitus
title_full_unstemmed Bridging the Gap Between Self-Reported and Claims-Derived Adherence Measures for Basal Insulin Among Patients with Type 2 Diabetes Mellitus
title_short Bridging the Gap Between Self-Reported and Claims-Derived Adherence Measures for Basal Insulin Among Patients with Type 2 Diabetes Mellitus
title_sort bridging the gap between self-reported and claims-derived adherence measures for basal insulin among patients with type 2 diabetes mellitus
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6318230/
https://www.ncbi.nlm.nih.gov/pubmed/30536142
http://dx.doi.org/10.1007/s12325-018-0828-4
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