Evidence map›Paper›PMID 27403322›Full record

ArticleBMJ open diabetes research & care2016

The agreement of patient-reported versus observed medication adherence in type 2 diabetes mellitus (T2DM).

Katherine Kelly, Maria V Grau-Sepulveda, Benjamin A Goldstein, Susan E Spratt, Anne Wolfley, Vicki Hatfield, Monica Murphy, Ellen Jones, Bradi B Granger

Open access · goldAbstract read
In one paragraph

Article in BMJ open diabetes research & care, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 12% of its field
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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Review
  4. Article
  5. Article
  6. Medication Management Performance and Associated Cognitive Correlates in Healthy Older Adults and Older Adults with aMCI.Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists · 2019
    Article
  7. Observational
  8. Article
  9. Article
  10. Article
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

9 authors at 5 institutions in 1 country.

Katherine KellyDepartment of Advanced Clinical Practice , Duke University Health System , Durham, North Carolina , USA.
Maria V Grau-SepulvedaDuke Clinical Research Institute , Durham, North Carolina , USA.
Benjamin A GoldsteinDuke Clinical Research Institute , Durham, North Carolina , USA.
Susan E SprattDepartment of Medicine , Duke University School of Medicine , Durham, North Carolina , USA.
Anne WolfleyDuke Clinical Research Institute , Durham, North Carolina , USA.
Vicki HatfieldWilliamson Memorial Hospital Diabetes Management Clinic , Williamson, West Virginia , USA.
Monica MurphyDepartment of Community Health , Cabarrus Health Alliance , Kannapolis, North Carolina , USA.
Ellen JonesUniversity of Mississippi Medical Center, School of Health Related Professions , Jackson, Mississippi , USA.
Bradi B GrangerDuke University Health System, School of Nursing , Durham, North Carolina , USA.
Clinical Research Institute · USDuke University Health System · USDuke University · USUniversity of Mississippi Medical Center · USWilliamson College · US

Funding

Understanding and predicting cardiac events in HD using real-time EHRsK25DK097279 · NIDDK · STANFORD UNIVERSITY · PI GOLDSTEIN, BENJAMIN ALAN · 2013 to 2017
$797k
NIDDK NIH HHS K25 DK097279
6 · The paper itself

Abstract

objectiveMedication adherence in type 2 diabetes mellitus (T2DM) improves glycemic control and is associated with reduced adverse clinical events, and accurately assessing adherence assessment is important. We aimed to determine agreement between two commonly used adherence measures-the self-reported Morisky Medication Adherence Scale (MMAS) and direct observation of medication use by nurse practitioners (NPs) during home visits-and determine the relationship between each measure and glycated hemoglobin (HbA1c). RESEARCH DESIGN AND

methodsWe evaluated agreement between adherence measures in the Southeastern Diabetes Initiative (SEDI) prospective clinical intervention home visit cohort, which included high-risk patients (n=430) in 4 SEDI-participating counties. The mean age was 58.7 (SD 11.6) years. The majority were white (n=210, 48.8%), female (n=236, 54.9%), living with a partner (n=316, 74.5%), and insured by Medicare/Medicaid (n=361, 84.0%). Medication adherence was dichotomized to 'adherent' or 'not adherent' using established cut-points. Inter-rater agreement was evaluated using Cohen's κ coefficient. Relationships among adherence measures and HbA1c were evaluated using the Wilcoxon rank-sum test and c-statistics.

resultsFewer patients (n=261, 61%) were considered adherent by self-reported MMAS score versus the NP-observed score (n=338; 79%). Inter-rater agreement between the two adherence measures was fair (κ=0.24; 95% CI 0.15 to 0.33; p<0.0001). Higher adherence was significantly associated with lower HbA1c levels for both measures, yet discrimination was weak (c-statistic=0.6).

conclusionsAgreement between self-reported versus directly observed medication adherence was lower than expected. Though scores for both adherence measures were significantly associated with HbA1c, neither discriminated well for discrete levels of HbA1c.

Indexed as

Adherence to MedicationsSelf-Reported Regimen Adherence

Identifiers

PMID27403322
PMCPMC4932248
OpenAlexW2475371987

What OpenQuestion holds

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LicenceCC BY-NC
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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.