Evidence map›Paper›PMID 36959431›Full record

ArticleJournal of clinical psychology in medical settings2024

Predicting Kidney Transplant Evaluation Non-attendance.

C Graham Ford, Yuridia Leyva, Eric S Kruger, Yiliang Zhu, Emilee Croswell, Kellee Kendall, Chethan Puttarajapa, Mary Amanda Dew, Yue Harn Ng, Mark L Unruh and 1 more

Abstract read
In one paragraph

Article in Journal of clinical psychology in medical settings, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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.

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

1 citing paper in PubMed.

  1. Review
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

11 authors.

C Graham FordCenter for Healthcare Equity in Kidney Disease (CHEK-D), University of New Mexico Health Sciences Center, Albuquerque, USA.ORCID 0000-0001-9121-6023
Yuridia LeyvaCenter for Healthcare Equity in Kidney Disease (CHEK-D), University of New Mexico Health Sciences Center, Albuquerque, USA.
Eric S KrugerDepartment of Physical Therapy, University of New Mexico Health Sciences Center, Albuquerque, USA.
Yiliang ZhuDepartment of Internal Medicine, School of Medicine, University of New Mexico, Albuquerque, USA.
Emilee CroswellDepartment of Psychiatry, School of Medicine, University of Pittsburgh, Pittsburgh, USA.
Kellee KendallHighmark Health, Pittsburgh, PA, USA.
Chethan PuttarajapaDepartment of Medicine, School of Medicine, University of Pittsburgh, Pittsburgh, USA.
Mary Amanda DewDepartment of Psychiatry, School of Medicine, University of Pittsburgh, Pittsburgh, USA.
Yue Harn NgDepartment of Internal Medicine, University of Washington, Seattle, USA.
Mark L UnruhDepartment of Internal Medicine, School of Medicine, University of New Mexico, Albuquerque, USA.
Larissa MyaskovskyCenter for Healthcare Equity in Kidney Disease (CHEK-D), University of New Mexico Health Sciences Center, Albuquerque, USA. lmyaskovsky@salud.unm.edu.ORCID 0000-0002-7268-1517

Funding

University of Pittsburgh Clinical and Translational Science InstituteUL1TR001857 · NCATS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REIS, STEVEN E · 2016 to 2025
$129.3M
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 TR001857NCATS NIH HHS UL1TR001857NIDDK NIH HHS R01 DK081325NIDDK NIH HHS R01DK081325
6 · The paper itself

Abstract

Non-attendance to kidney transplant evaluation (KTE) appointments is a barrier to optimal care for those with kidney failure. We examined the medical and socio-cultural factors that predict KTE non-attendance to identify opportunities for integrated medical teams to intervene. Patients scheduled for KTE between May, 2015 and June, 2018 completed an interview before their initial KTE appointment. The interview assessed various social determinants of health, including demographic (e.g., income), medical (e.g. co-morbidities), transplant knowledge, cultural (e.g., medical mistrust), and psychosocial (e.g., social support) factors. We used multiple logistic regression analysis to determine the strongest predictor of KTE non-attendance. Our sample (N = 1119) was 37% female, 76% non-Hispanic White, median age 59.4 years (IQR 49.2-67.5). Of note, 142 (13%) never attended an initial KTE clinic appointment. Being on dialysis predicted higher odds of KTE non-attendance (OR 1.76; p = .02; 64% of KTE attendees on dialysis vs. 77% of non-attendees on dialysis). Transplant and nephrology teams should consider working collaboratively with dialysis units to better coordinate care, (e.g., resources to attend appointment or outreach to emphasize the importance of transplant) adjusting the KTE referral and evaluation process to address access issues (e.g., using tele-health) and encouraging partnership with clinical psychologists to promote quality of life for those on dialysis.

Indexed as

Kidney TransplantationQuality of LifeComorbidityFemaleHumansMaleMiddle AgedRenal DialysisTrustKidney transplantationNon-attendanceTransplant evaluation

Identifiers

PMID36959431
PMCPMC10035980

What OpenQuestion holds

Textmetadata
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.