Evidence mapPaperPMID 36759134Full record

ArticleJournal of the American Board of Family Medicine : JABFM2023

The Association Between Cost-Related Non-Adherence Behaviors and Diabetes Outcomes.

Yu-Chyn Chiang, William Ni, Guanghao Zhang, Xu Shi, Minal R Patel

Open access · diamondAbstract read
In one paragraph

Article in Journal of the American Board of Family Medicine : JABFM, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 23% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. 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

5 authors at 1 institution in 1 country.

Yu-Chyn ChiangFrom the College of Pharmacy, University of Michigan (YC,WN); Department of Biostatistics, University of Michigan School of Public Health (GZ, XS); Department of Health Behavior and Health Education, University of Michigan School of Public Health (MP).
William NiFrom the College of Pharmacy, University of Michigan (YC,WN); Department of Biostatistics, University of Michigan School of Public Health (GZ, XS); Department of Health Behavior and Health Education, University of Michigan School of Public Health (MP).
Guanghao ZhangFrom the College of Pharmacy, University of Michigan (YC,WN); Department of Biostatistics, University of Michigan School of Public Health (GZ, XS); Department of Health Behavior and Health Education, University of Michigan School of Public Health (MP).
Xu ShiFrom the College of Pharmacy, University of Michigan (YC,WN); Department of Biostatistics, University of Michigan School of Public Health (GZ, XS); Department of Health Behavior and Health Education, University of Michigan School of Public Health (MP).
Minal R PatelFrom the College of Pharmacy, University of Michigan (YC,WN); Department of Biostatistics, University of Michigan School of Public Health (GZ, XS); Department of Health Behavior and Health Education, University of Michigan School of Public Health (MP). minalrp@umich.edu.
University of Michigan–Ann Arbor · US

Funding

Pilot and Feasibility ProgramP30DK092926 · UNIVERSITY OF MICHIGAN AT ANN ARBOR · 2025 to 2025
$779k
NIDDK NIH HHS P30 DK092926NIDDK NIH HHS R01 DK116715
6 · The paper itself

Abstract

backgroundWe examined the impact of various comorbid conditions on diabetes and condition-specific cost-related nonadherence (CRN), and HbA1c in adults with diabetes.

methodsThis was a cross-sectional analysis of participants with diabetes and poor glycemic control in an ongoing trial (n = 600). We computed prevalence of condition-specific CRN, prevalence of specific types of diabetes-related CRN by comorbid condition, prevalence of specific types of condition-specific CRN within each comorbidity, and the association between condition-specific and diabetes-related CRN and HbA1c for each comorbid condition.

resultsFifty-eight percent (n = 350) of participants reported diabetes-related CRN. Diabetes-related CRN rates were highest in those with liver problems (63%), anemia (61%), respiratory diseases (60%), and hyperlipidemia (60%). Condition-specific CRN rates were high in those with respiratory diseases (44%), back pain (41%), and depression (40%). Participants with cancer and kidney diseases reported the lowest rates of diabetes-related and condition-specific CRN. Delaying getting diabetes prescriptions filled was the most commonly reported form of diabetes-related CRN across all comorbid conditions and was the highest in those with liver problems (47%), anemia (46%), and respiratory diseases (45%). In adjusted models, those with back pain (beta-coefficient, 0.45; 95%CI 0.02-0.88;

conclusionsCRN in patients with diabetes is higher than in other comorbid conditions and is associated with poor diabetes control. These findings may be driven by higher out-of-pocket costs for medications to manage diabetes, lack of symptoms associated with poor diabetes control, or other factors, with implications for both clinicians and health insurance programs.

Indexed as

Diabetes MellitusMedication AdherenceAdultCross-Sectional StudiesGlycated HemoglobinHumansInsurance, HealthGlycated HemoglobinCross-Sectional StudiesDiabetes MellitusOutcomes AssessmentTreatment Adherence

Identifiers

PMID36759134
PMCPMC10626976
OpenAlexW4319722889

What Socratic holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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 Socratic graph.