Evidence map›Paper›PMID 40410637›Full record

ArticleJournal of racial and ethnic health disparities2026

Exploring the Acceptability and Feasibility of a Self-directed Approach to Identifying Health Priorities in a Sample of Southern Older African American Adults with Multiple Chronic Conditions.

Deborah Ejem, Marie Bakitas, Raegan W Durant, Tamara Nix Parker, Kwaku Duah Oppong, Jessica Esterson, J Nicholas Odom, Rachel D Wells, Kenneth Boockvar, Mary E Tinetti

Registry-linked trialAbstract read
In one paragraph

Article in Journal of racial and ethnic health disparities, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05129709 (Addressing Communication Challenges Confronting Older African Americans With Multiple Chronic Conditions and Their Family Caregivers), which is not on this map. Cited by 1 paper, 1 of them a synthesis that pooled it.

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

NCT05129709 nacompletednot on this map

Addressing Communication Challenges Confronting Older African Americans With Multiple Chronic Conditions and Their Family Caregivers

TypeinterventionalSponsorUniversity of Alabama at BirminghamRan2022 to 2024Enrolled30ConditionsMultiple Chronic Conditions, Family MembersArms"My Health Priorities" Identification Program
3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

10 authors.

Deborah EjemSchool of Nursing, University of Alabama at Birmingham, Birmingham, AL, USA. tejem@uab.edu.ORCID 0000-0003-4617-2433
Marie BakitasSchool of Nursing, University of Alabama at Birmingham, Birmingham, AL, USA.
Raegan W DurantDivision of General Internal Medicine and Population Science, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA.
Tamara Nix ParkerSchool of Nursing, University of Alabama at Birmingham, Birmingham, AL, USA.
Kwaku Duah OppongSchool of Nursing, The University of Texas at Austin, Austin, TX, USA.
Jessica EstersonDepartment of Internal Medicine, Section of Geriatrics, School of Medicine, Yale University, New Haven, CT, USA.
J Nicholas OdomSchool of Nursing, University of Alabama at Birmingham, Birmingham, AL, USA.
Rachel D WellsSchool of Nursing, University of Alabama at Birmingham, Birmingham, AL, USA.
Kenneth BoockvarDivision of Gerontology, Geriatrics, and Palliative Care, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA.
Mary E TinettiDepartment of Internal Medicine, Section of Geriatrics, School of Medicine, Yale University, New Haven, CT, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo evaluate the cultural acceptability and feasibility of the self-directed "My Health Priorities" (MHP) web-based program in older Southern African Americans (AAs) with multiple chronic conditions (MCCs) and their family caregivers (FCGs).

designA multi-method formative evaluation study (NIH Stage 1a) to explore patients' and FCGs' experiences with the MHP web-based program, a component of the patient priorities care approach. Interviews were analyzed using the constant comparative method and thematic analysis. Participants rated usability via the system usability scale (SUS) (scores range from 0 to 100). Sample characteristics were analyzed using SAS and SPSS.

settingA primary care clinic in a southeastern U.S. academic medical center.

participantsFifteen older AAs with MCCs (≥ 65 years old, diagnosed with ≥ 2 chronic conditions) and their adult AA FCGs (≥ 18 years old).

resultsParticipants generally found the program acceptable but difficult to navigate on devices other than computers. Suggestions included redesigning the avatar for cultural relevance, optimizing functionality for mobile devices, and offering strategies to address challenging patient-clinician interactions. Patients rated usability at 75.31 ± 14.63 (good usability), while FCGs rated it at 30.13 ± 4.31 (indicating limited usability). Study measures required 30 min to complete, while the intervention took 60 min. Participants completed 81% of study measures.

conclusionsEstablished web-based programs may be acceptable to AA patients and their caregivers, but specific technical and content aspects may need to be revised to make the programs more suitable for AAs. Design refinements should account for the differing usability experiences reported by AA patients and their caregivers.

trial registrationNCT05129709.

Indexed as

Black or African AmericanMultiple Chronic ConditionsAgedAged, 80 and overCaregiversDigital HealthFeasibility StudiesFemaleHumansInternetMaleMiddle AgedSoutheastern United StatesAfrican AmericansCulturally tailored interventionsFamily caregiversMultiple chronic conditionsPatient-clinician communicationTelehealth feasibility

Identifiers

PMID40410637
PMCPMC13346285

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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.