Evidence map›Paper›PMID 40812382›Full record

ArticleApplied clinical informatics2025

Lessons Learned from the Usability Assessment of an EHR-Based Tool to Support Adherence to Antihypertensive Medications.

Safa Elkefi, Tiffany R Martinez, Talia Nadel, Antoinette M Schoenthaler, Devin M Mann, Saul Blecker

Abstract read
In one paragraph

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

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Safa ElkefiSchool of Nursing Columbia University, New York, New York, United States.
Tiffany R MartinezDepartment of Population Health, NYU Grossman School of Medicine, New York, New York, United States.
Talia NadelDepartment of Population Health, NYU Grossman School of Medicine, New York, New York, United States.
Antoinette M SchoenthalerNYU Langone Health, Institute for Excellence in Health Equity, New York, New York, United States.
Devin M MannDepartment of Population Health, NYU Grossman School of Medicine, New York, New York, United States.
Saul BleckerDepartment of Population Health, NYU Grossman School of Medicine, New York, New York, United States.

Funding

Addressing antihypertensive medication adherence through EHR-enabled teamlets in primary care - Resubmission - 1R01HL156355 · NHLBI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI BLECKER, SAUL B., MANN, DEVIN M · 2021 to 2025
$4.0M
NHLBI NIH HHS R01 HL156355
6 · The paper itself

Abstract

Uncontrolled hypertension is common and frequently related to inadequate adherence to prescribed medications, resulting in suboptimal blood pressure control and increased healthcare utilization. Although healthcare providers have the opportunity to improve medication adherence, they may lack the tools to address adherence at the point of care. This study aims to assess the usability of a digital tool designed to improve medication adherence and blood pressure control among patients with hypertension who are not adherent to therapy. By evaluating usability, the study seeks to refine the tool's design, underscore the role of technology in managing hypertension, and provide insights to inform clinical decisions.We performed qualitative usability testing of an electronic health record (EHR)-integrated intervention with medical assistants (MAs) and primary care providers (PCPs) from a large integrated health system. Usability was assessed with these end-users using the "think aloud" and "near live" approaches. This evaluation was guided by two frameworks: the End-User Computing Satisfaction Index (EUCSI) and the Technology Acceptance Model (TAM). Interviews were analyzed using a thematic analysis approach.Thematic saturation was reached after usability testing was performed with 10 participants, comprising 5 PCPs and 5 MAs. The study identified several strengths within the content, format, ease of use, timeliness, accuracy, and usefulness of the tool, including the user-friendly content presentation, the usefulness of adherence information, and timely alerts that fit into the workflow. Challenges centered around alert visibility and specificity of information.Leveraging the two conceptual frameworks (TAM and EUCSI) to test the usability of the medication adherence tool was helpful. The tool's several strengths and opportunities for improvement were found. The resulting suggestions will be used to support the enhancement of the design for optimal implementation in a clinical trial.

Indexed as

Antihypertensive AgentsElectronic Health RecordsHypertensionMedication AdherenceFemaleHumansMaleMiddle AgedUser-Computer InterfaceAntihypertensive Agents

Identifiers

PMID40812382
PMCPMC12352985

What OpenQuestion holds

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Registered trials

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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.