Optimal cut-off points for adherence measure among patients with type 2 diabetes in primary care clinics: a retrospective analysis

Background: Medication adherence measures are often dichotomized to classify patients into those with good or poor adherence using a cut-off value ⩾80%, but this cut-off may not be universal across diseases or medication classes. This study aimed to examine the cut-off value that optimally distingui...

Full description

Bibliographic Details
Main Authors: Ming Tsuey Lim, Norazida Ab Rahman, Xin Rou Teh, Chee Lee Chan, Shantini Thevendran, Najwa Ahmad Hamdi, Ka Keat Lim, Sheamini Sivasampu
Format: Article
Language:English
Published: SAGE Publishing 2021-02-01
Series:Therapeutic Advances in Chronic Disease
Online Access:https://doi.org/10.1177/2040622321990264
id doaj-f269e43caa0b4cc486dd601aecf71e6b
record_format Article
spelling doaj-f269e43caa0b4cc486dd601aecf71e6b2021-02-17T17:03:37ZengSAGE PublishingTherapeutic Advances in Chronic Disease2040-62312021-02-011210.1177/2040622321990264Optimal cut-off points for adherence measure among patients with type 2 diabetes in primary care clinics: a retrospective analysisMing Tsuey LimNorazida Ab RahmanXin Rou TehChee Lee ChanShantini ThevendranNajwa Ahmad HamdiKa Keat LimSheamini SivasampuBackground: Medication adherence measures are often dichotomized to classify patients into those with good or poor adherence using a cut-off value ⩾80%, but this cut-off may not be universal across diseases or medication classes. This study aimed to examine the cut-off value that optimally distinguish good and poor adherence by using the medication possession ratio (MPR) and proportion of days covered (PDC) as adherence measures and glycated hemoglobin (HbA1c) as outcome measure among type 2 diabetes mellitus (T2DM) patients. Method: We used pharmacy dispensing data of 1461 eligible T2DM patients from public primary care clinics in Malaysia treated with oral antidiabetic drugs between January 2018 and May 2019. Adherence rates were calculated during the period preceding the HbA1c measurement. Adherence cut-off values for the following conditions were compared: adherence measure (MPR versus PDC), assessment period (90-day versus 180-day), and HbA1c target (⩽7.0% versus ⩽8.0%). Results: The optimal adherence cut-offs for MPR and PDC in predicting HbA1c ⩽7.0% ranged between 86.1% and 98.3% across the two assessment periods. In predicting HbA1c ⩽8.0%, the optimal adherence cut-offs ranged from 86.1% to 92.8%. The cut-off value was notably higher with PDC as the adherence measure, shorter assessment period, and a stricter HbA1c target (⩽7.0%) as outcome. Conclusion: We found that optimal adherence cut-off appeared to be slightly higher than the conventional value of 80%. The adherence thresholds may vary depending on the length of assessment period and outcome definition but a reasonably wise cut-off to distinguish good versus poor medication adherence to be clinically meaningful should be at 90%.https://doi.org/10.1177/2040622321990264
collection DOAJ
language English
format Article
sources DOAJ
author Ming Tsuey Lim
Norazida Ab Rahman
Xin Rou Teh
Chee Lee Chan
Shantini Thevendran
Najwa Ahmad Hamdi
Ka Keat Lim
Sheamini Sivasampu
spellingShingle Ming Tsuey Lim
Norazida Ab Rahman
Xin Rou Teh
Chee Lee Chan
Shantini Thevendran
Najwa Ahmad Hamdi
Ka Keat Lim
Sheamini Sivasampu
Optimal cut-off points for adherence measure among patients with type 2 diabetes in primary care clinics: a retrospective analysis
Therapeutic Advances in Chronic Disease
author_facet Ming Tsuey Lim
Norazida Ab Rahman
Xin Rou Teh
Chee Lee Chan
Shantini Thevendran
Najwa Ahmad Hamdi
Ka Keat Lim
Sheamini Sivasampu
author_sort Ming Tsuey Lim
title Optimal cut-off points for adherence measure among patients with type 2 diabetes in primary care clinics: a retrospective analysis
title_short Optimal cut-off points for adherence measure among patients with type 2 diabetes in primary care clinics: a retrospective analysis
title_full Optimal cut-off points for adherence measure among patients with type 2 diabetes in primary care clinics: a retrospective analysis
title_fullStr Optimal cut-off points for adherence measure among patients with type 2 diabetes in primary care clinics: a retrospective analysis
title_full_unstemmed Optimal cut-off points for adherence measure among patients with type 2 diabetes in primary care clinics: a retrospective analysis
title_sort optimal cut-off points for adherence measure among patients with type 2 diabetes in primary care clinics: a retrospective analysis
publisher SAGE Publishing
series Therapeutic Advances in Chronic Disease
issn 2040-6231
publishDate 2021-02-01
description Background: Medication adherence measures are often dichotomized to classify patients into those with good or poor adherence using a cut-off value ⩾80%, but this cut-off may not be universal across diseases or medication classes. This study aimed to examine the cut-off value that optimally distinguish good and poor adherence by using the medication possession ratio (MPR) and proportion of days covered (PDC) as adherence measures and glycated hemoglobin (HbA1c) as outcome measure among type 2 diabetes mellitus (T2DM) patients. Method: We used pharmacy dispensing data of 1461 eligible T2DM patients from public primary care clinics in Malaysia treated with oral antidiabetic drugs between January 2018 and May 2019. Adherence rates were calculated during the period preceding the HbA1c measurement. Adherence cut-off values for the following conditions were compared: adherence measure (MPR versus PDC), assessment period (90-day versus 180-day), and HbA1c target (⩽7.0% versus ⩽8.0%). Results: The optimal adherence cut-offs for MPR and PDC in predicting HbA1c ⩽7.0% ranged between 86.1% and 98.3% across the two assessment periods. In predicting HbA1c ⩽8.0%, the optimal adherence cut-offs ranged from 86.1% to 92.8%. The cut-off value was notably higher with PDC as the adherence measure, shorter assessment period, and a stricter HbA1c target (⩽7.0%) as outcome. Conclusion: We found that optimal adherence cut-off appeared to be slightly higher than the conventional value of 80%. The adherence thresholds may vary depending on the length of assessment period and outcome definition but a reasonably wise cut-off to distinguish good versus poor medication adherence to be clinically meaningful should be at 90%.
url https://doi.org/10.1177/2040622321990264
work_keys_str_mv AT mingtsueylim optimalcutoffpointsforadherencemeasureamongpatientswithtype2diabetesinprimarycareclinicsaretrospectiveanalysis
AT norazidaabrahman optimalcutoffpointsforadherencemeasureamongpatientswithtype2diabetesinprimarycareclinicsaretrospectiveanalysis
AT xinrouteh optimalcutoffpointsforadherencemeasureamongpatientswithtype2diabetesinprimarycareclinicsaretrospectiveanalysis
AT cheeleechan optimalcutoffpointsforadherencemeasureamongpatientswithtype2diabetesinprimarycareclinicsaretrospectiveanalysis
AT shantinithevendran optimalcutoffpointsforadherencemeasureamongpatientswithtype2diabetesinprimarycareclinicsaretrospectiveanalysis
AT najwaahmadhamdi optimalcutoffpointsforadherencemeasureamongpatientswithtype2diabetesinprimarycareclinicsaretrospectiveanalysis
AT kakeatlim optimalcutoffpointsforadherencemeasureamongpatientswithtype2diabetesinprimarycareclinicsaretrospectiveanalysis
AT sheaminisivasampu optimalcutoffpointsforadherencemeasureamongpatientswithtype2diabetesinprimarycareclinicsaretrospectiveanalysis
_version_ 1724264946660802560