Evidence map›Paper›PMID 15562188›Full record

ArticleDiabetes care2004

Clinical outcomes and adherence to medications measured by claims data in patients with diabetes.

Manel Pladevall, L Keoki Williams, Lisa Ann Potts, George Divine, Hugo Xi, Jennifer Elston Lafata

2 registry-linked trialsAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Diabetes care, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 180 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
180citing papers in PubMed, 7 pooled it
–field-weighted citation impact
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.

NCT04298684 phase4unknown statusstarted 2021, after this paper: background citation

Efficacy of Metformin Versus Sitagliptin on Benign Thyroid Nodules Size in Type 2 Diabetes: a 2-years Prospective Multicentric Study

Ran2021Enrolled90Registered outcomes9Posted comparisons0ConditionsDiabetes Mellitus, Type 2, Thyroid Nodule (Benign)ArmsMetformin, Sitagliptin
PMID 26154837PMID 27987248PMID 9839117PMID 3899825PMID 30233494PMID 29858981PMID 29158735PMID 28196954PMID 20578900PMID 19860577PMID 19633072PMID 19320560other papers from this trial
Open the trial in the graph
NCT00754741 phase3completednot on this mapstarted 2008, after this paper: background citation

Phase III Clinical Trial of the Effectiveness of Adherence Data and Motivational Interviewing to Improve Medication Adherence and Both Glycated Hemoglobin and Cholesterol Control

TypeinterventionalSponsorHenry Ford Health SystemRan2008 to 2012Enrolled1,692ConditionsDiabetesArmsAdherence information, Adherence information plus motivational interviewing
3 · Its place in the literature

Who cites it

180 citing papers in PubMed, 7 syntheses or guidelines pooled it.

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  17. Asthma medication adherence: the role of God and other health locus of control factors.Annals of allergy, asthma & immunology : official publication of the American College of Allergy, Asthma, & Immunology · 2013
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120 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Manel PladevallCenter for Health Services Research, Henry Ford Health System, One Ford Place, Suite 3A, Detroit, Michigan 48202, USA. mpladev1@hfhs.org
L Keoki Williams
Lisa Ann Potts
George Divine
Hugo Xi
Jennifer Elston Lafata

Funding

VALIDATION OF ADHERENCE DATA--USE IN CLINICAL PRACTICER01DK064695 · NIDDK · HENRY FORD HEALTH SYSTEM · PI WILLIAMS, KEOKI · 2003 to 2010
$2.7M
USING INFORMATION TECHNOLOGY TO IMPROVE ASTHMA ADHERENCER01HL079055 · NHLBI · HENRY FORD HEALTH SYSTEM · PI WILLIAMS, KEOKI · 2005 to 2008
$1.4M
NHLBI NIH HHS R01 HL079055NIDDK NIH HHS DK064695-01NIDDK NIH HHS R01 DK064695
6 · The paper itself

Abstract

objectiveAlthough poor medication adherence may contribute to inadequate diabetes control, ways to feasibly measure adherence in routine clinical practice have yet to be established. The present study was conducted to determine whether pharmacy claims-based measures of medication adherence are associated with clinical outcomes in patients with diabetes. RESEARCH DESIGN AND

methodsThe study setting was a large, integrated delivery and financial system serving the residents of southeastern Michigan. The study population consisted of 677 randomly selected patients aged > or =18 years with a diagnosis of diabetes, hypercholesterolemia, and hypertension and who filled at least one prescription for either an antidiabetic, lipid-lowering, or antihypertensive drug in each of the 3 study years (1999-2001). The main outcome measures were HbA1c, LDL cholesterol levels, and blood pressure.

resultsNonadherent patients had both statistically and clinically worse outcomes than adherent patients. Even after adjusting for demographic and clinical characteristics, nonadherence was significantly associated with HbA1c and LDL cholesterol levels. A 10% increase in nonadherence to metformin and statins was associated with an increase of 0.14% in HbA1c and an increase of 4.9 mg/dl in LDL cholesterol levels. Nonadherence to ACE inhibitors was not significantly associated with blood pressure.

conclusionsClaims-based measures of medication adherence are associated with clinical outcomes in patients with diabetes and may therefore prove to be useful in clinical practice. More research is needed on methods to introduce claims-based adherence measurements into routine clinical practice and how to use these measurements to effectively improve adherence and health outcomes in chronic care management.

Indexed as

Insurance Claim ReviewAdultAntihypertensive AgentsDiabetes MellitusDrug PrescriptionsFemaleHumansHypoglycemic AgentsHypolipidemic AgentsMaleMichiganMiddle AgedPatient ComplianceTreatment OutcomeTreatment RefusalAntihypertensive AgentsHypoglycemic AgentsHypolipidemic Agents

Identifiers

PMID15562188
PMCPMC1262687

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.