Evidence map›Paper›PMID 34912945›Full record

ArticleTransplantation direct2022

Medication, Healthcare Follow-up, and Lifestyle Nonadherence: Do They Share the Same Risk Factors?

Yue-Harn Ng, Igor Litvinovich, Yuridia Leyva, C Graham Ford, Yiliang Zhu, Kellee Kendall, Emilee Croswell, Chethan M Puttarajappa, Mary Amanda Dew, Ron Shapiro and 2 more

Open access · goldAbstract read
In one paragraph

Article in Transplantation direct, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 17% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. The Effect of Health Literacy Interventions on Self-management in Chronic Diseases: A Systematic Review.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2025
    Pooled it
  2. Article
  3. Review
  4. Article
  5. Mediating role of inner strength in the relationship between medication literacy and medication adherence among kidney transplant patients.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2024
    Article
  6. Article
  7. Review
  8. Article
  9. 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

12 authors at 4 institutions in 1 country.

Yue-Harn NgDivision of Nephrology, Department of Internal Medicine, University of New Mexico, Albuquerque, NM.
Igor LitvinovichDivision of Nephrology, Department of Internal Medicine, University of New Mexico, Albuquerque, NM.
Yuridia LeyvaCenter for the Healthcare Equity in Kidney Disease (CHEK-D), University of New Mexico Health Science Center, Albuquerque, NM.
C Graham FordCenter for the Healthcare Equity in Kidney Disease (CHEK-D), University of New Mexico Health Science Center, Albuquerque, NM.
Yiliang ZhuDivision of Epidemiology, Biostatistics and Preventive Medicine, Department of Internal Medicine, University of New Mexico, Albuquerque, NM.
Kellee KendallHighmark Health, Pittsburgh, PA.
Emilee CroswellDepartment of Medicine, School of Medicine, University of Pittsburgh, PA.
Chethan M PuttarajappaDepartment of Medicine, School of Medicine, University of Pittsburgh, PA.
Mary Amanda DewDepartment of Psychiatry, School of Medicine, University of Pittsburgh, PA.
Ron ShapiroMount Sinai Recanati/Miller Transplantation Institute, Icahn School of Medicine.
Mark L UnruhDivision of Nephrology, Department of Internal Medicine, University of New Mexico, Albuquerque, NM.
Larissa MyaskovskyDivision of Nephrology, Department of Internal Medicine, University of New Mexico, Albuquerque, NM.
University of New Mexico · USUniversity of Pittsburgh · USHighmark Blue Cross Blue Shield · USUniversity of Washington · US

Funding

University of Pittsburgh Clinical and Translational Science InstituteUL1TR001857 · NCATS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REIS, STEVEN E · 2016 to 2025
$129.3M
Increasing Equity in Transplant Evaluation and Living Donor Kidney TransplantationR01DK101715 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI DEW, MARY AMANDA · 2014 to 2018
$2.7M
Understanding Race and Culture in Living Donor Kidney TransplantationR01DK081325 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI MYASKOVSKY, LARISSA · 2009 to 2013
$1.4M
NCATS NIH HHS UL1 TR001857NIDDK NIH HHS R01 DK081325NIDDK NIH HHS R01 DK101715
6 · The paper itself

Abstract

Barriers to medication adherence may differ from barriers in other domains of adherence. In this study, we assessed the association between pre-kidney transplantation (KT) factors with nonadherent behaviors in 3 different domains post-KT.

methodsWe conducted a prospective cohort study with patient interviews at initial KT evaluation (baseline-nonadherence predictors in sociodemographic, condition-related, health system, and patient-related psychosocial factors) and at ≈6 mo post-KT (adherence outcomes: medications, healthcare follow-up, and lifestyle behavior). All patients who underwent KT at our institution and had ≈6-mo follow-up interview were included in the study. We assessed nonadherence in 3 different domains using continuous composite measures derived from the Health Habit Survey. We built multiple linear and logistic regression models, adjusting for baseline characteristics, to predict adherence outcomes.

resultsWe included 173 participants. Black race (mean difference in adherence score: -0.72; 95% confidence interval [CI], -1.12 to -0.32) and higher income (mean difference: -0.34; 95% CI, -0.67 to -0.02) predicted lower medication adherence. Experience of racial discrimination predicted lower adherence (odds ratio, 0.31; 95% CI, 0.12-0.76) and having internal locus of control predicted better adherence (odds ratio, 1.46; 95% CI, 1.06-2.03) to healthcare follow-up. In the lifestyle domain, higher education (mean difference: 0.75; 95% CI, 0.21-1.29) and lower body mass index (mean difference: -0.08; 95% CI, -0.13 to -0.03) predicted better adherence to dietary recommendations, but no risk factors predicted exercise adherence.

conclusionsDifferent nonadherence behaviors may stem from different motivation and risk factors (eg, clinic nonattendance due to experiencing racial discrimination). Thus adherence intervention should be individualized to target at-risk population (eg, bias reduction training for medical staff to improve patient adherence to clinic visit).

Identifiers

PMID34912945
PMCPMC8670587
OpenAlexW4200140560

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.