Evidence map›Paper›PMID 27229000›Full record

ArticleJournal of general internal medicine2016

Trajectories of Diabetes Medication Adherence and Hospitalization Risk: A Retrospective Cohort Study in a Large State Medicaid Program.

Wei-Hsuan Lo-Ciganic, Julie M Donohue, Bobby L Jones, Subashan Perera, Joshua M Thorpe, Carolyn T Thorpe, Zachary A Marcum, Walid F Gellad

Abstract read
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Article in Journal of general internal medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed, 4 pooled it
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

52 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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  3. Medication Adherence Trajectories: A Systematic Literature Review.Journal of managed care & specialty pharmacy · 2020
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Wei-Hsuan Lo-CiganicDepartment of Pharmacy Practice and Science, College of Pharmacy, University of Arizona, Tucson, AZ, USA. lociganic@pharmacy.arizona.edu.
Julie M DonohueDepartment of Health Policy and Management, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA.
Bobby L JonesDepartment of Psychiatry, University of Pittsburgh Medical Center, Pittsburgh, PA, USA.
Subashan PereraDepartment of Biostatistics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA.
Joshua M ThorpeCenter for Pharmaceutical Policy and Prescribing, University of Pittsburgh, Pittsburgh, PA, USA.
Carolyn T ThorpeCenter for Pharmaceutical Policy and Prescribing, University of Pittsburgh, Pittsburgh, PA, USA.
Zachary A MarcumDepartment of Pharmacy, School of Pharmacy, University of Washington, Seattle, WA, USA.
Walid F GelladCenter for Pharmaceutical Policy and Prescribing, University of Pittsburgh, Pittsburgh, PA, USA.

Funding

VARIABILITY, STABILITY & SMOOTHNESS OF WALKINGP30AG024827 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Caterina Rosano · 2004 to 2026
$28.6M
Pitt Integrated Clinical and Geroscience Research Training ProgramT32AG021885 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Aditi U Gurkar · 2003 to 2026
$6.7M
NIA NIH HHS P30 AG024827NIA NIH HHS T32 AG021885
6 · The paper itself

Abstract

backgroundNumerous interventions are available to boost medication adherence, but the targeting of these interventions often relies on crude measures of poor adherence. Group-based trajectory models identify individuals with similar longitudinal prescription filling patterns. Identifying distinct adherence trajectories may be more useful for targeting interventions, although the association between adherence trajectories and clinical outcomes is unknown.

objectiveTo examine the association between adherence trajectories for oral hypoglycemics and subsequent hospitalizations among diabetes patients.

designRetrospective cohort study. PATIENTS: A total of 16,256 Pennsylvania Medicaid enrollees, non-dually eligible for Medicare, initiating oral hypoglycemics between 2007 and 2009. MAIN MEASURES: We used group-based trajectory models to identify trajectories of oral hypoglycemics in the 12 months post-treatment initiation, using monthly proportion of days covered (PDC) as the adherence measure. Multivariable Cox proportional hazard models were used to examine the association between trajectories and time to first diabetes-related hospitalization/emergency department (ED) visits in the following year. We used the C-index to compare prediction performance between adherence trajectories and dichotomous cutpoints (annual PDC <80 vs. ≥80 %).

resultsThe mean annual PDC was 0.58 (SD 0.32). Seven trajectories were identified: perfect adherers (9 % of the cohort), nearly perfect adherers (31.4 %), moderate adherers (21.0 %), low adherers (11.0 %), late discontinuers (6.8 %), early discontinuers (9.7 %), and non-adherers with only one fill (11.1 %). Compared to perfect adherers, trajectories of moderate adherers (HR = 1.48, 95 % CI 1.25, 1.75), low adherers (HR = 1.51, 95 % CI 1.25, 1.83), and non-adherers with only one fill (HR = 1.35, 95 % CI 1.09, 1.67) had greater risk of diabetes-related hospitalizations/ED visits. Predictive accuracy was improved using trajectories compared to dichotomized cutpoints (C-index = 0.714 vs. 0.652).

conclusionsOral hypoglycemic treatment trajectories were highly variable in this large Medicaid cohort. Low and moderate adherers and those filling only one prescription had a modestly higher risk of hospitalizations/ED visits compared to perfect adherers. Trajectory models may be valuable in identifying specific non-adherence patterns for targeting interventions.

Indexed as

Medication AdherenceAdultDiabetes MellitusFemaleFollow-Up StudiesHospitalizationHumansHypoglycemic AgentsMaleMedicaidMiddle AgedPennsylvaniaRetrospective StudiesRisk FactorsUnited StatesHypoglycemic Agentsdiabetesgroup-based trajectory modelsMedicaidmedication adherenceoral hypoglycemics

Identifiers

PMID27229000
PMCPMC4978686

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.