Evidence map›Paper›PMID 40730365›Full record

ArticleComputers, informatics, nursing : CIN2025

Assessing Daily Antihypertensive Medication Compliance Among Black Adults Using Smartphone-Based Ecological Momentary Assessment: A Feasibility Study.

Tonychris Nnaka, Elizabeth Heitkemper, Emily T Hébert, Kavita Radhakrishnan, Michael Young, Tiffany Ewere, Miyong T Kim

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Article in Computers, informatics, nursing : CIN, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Tonychris NnakaAuthor Affiliations: The University of North Texas Health Science Center, Fort Worth, TX (Dr Nnaka); The University of Texas at Austin, Austin, TX (Drs Heitkemper, Radhkrishnan, and Kim and Ms Ewere); The University of Texas Health Science Center at Houston, Austin, TX (Dr Hébert); and Center for Evidence-Based Programming, Little Rock, AR (Dr Young).ORCID 0000-0001-7306-4759
Elizabeth Heitkemper
Emily T Hébert
Kavita Radhakrishnan
Michael Young
Tiffany Ewere
Miyong T Kim

Funding

Precision Health Intervention Methodology Training in Self-Management of Multiple Chronic ConditionsT32NR019035 · NINR · UNIVERSITY OF TEXAS AT AUSTIN · PI STUIFBERGEN, ALEXA · 2020 to 2024
$995k
NINR NIH HHS T32 NR019035
6 · The paper itself

Abstract

Lower compliance to antihypertensive medication among the Black population, the gold standard for hypertension management, increases their risk of uncontrolled hypertension and serious health complications. One effective strategy for improving compliance with hypertension self-management involves real-time assessment of behavior using ecological momentary assessment in a person's natural environment. This allows for the determination of self-management behavioral patterns such as medication compliance, as well as overcoming the limitations of recall bias common in retrospective cross-sectional data. In the few ecological momentary assessment studies focused on hypertension self-management, individuals of Black descent are significantly underrepresented. We aimed to assess the feasibility and acceptability of smartphone-based ecological momentary assessment among Black adults with hypertension (n = 34), in the context of compliance to antihypertensives. Of the 952 assessment prompts delivered to participants' smartphones, participants responded to 918 (96.4%). Daily medication compliance was high among participants-25 days out of 28 (M = 24.71, SD = 6.79). Participants indicated they had a good experience with the assessment method and their intention to participate in future studies of this method. Our study demonstrated that a digitized smartphone-based ecological momentary assessment is a promising, feasible, and acceptable approach for assessing hypertension self-management behavior among Black adults.

Indexed as

Antihypertensive AgentsBlack or African AmericanEcological Momentary AssessmentHypertensionMedication AdherenceSmartphoneAdultAgedFeasibility StudiesFemaleHumansMaleMiddle AgedSelf-ManagementAntihypertensive AgentsBlack adultsDigital healthEcological momentary assessmentHypertensionSelf-management

Identifiers

PMID40730365
PMCPMC12313092

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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.