Evidence map›Paper›PMID 40495897›Full record

ArticlePreventive medicine reports2025

Usability and acceptability of a mobile application prototype for managing hypertensive disorders of pregnancy: A mixed methods evaluation.

Jennifer Wills, Laura Byham-Gray, Pamela Rothpletz-Puglia, Tenzin Sangmo, Todd Rosen, Shauna Williams, Mafudia Suaray, Shristi Rawal

Abstract read
In one paragraph

Article in Preventive medicine reports, 2025. 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. 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

8 authors.

Jennifer WillsRutgers School of Health Professions, Department of Clinical and Preventive Nutrition Sciences, 65 Bergen St, Suite 120, Newark, NJ 07107, United States.
Laura Byham-GrayRutgers School of Health Professions, Department of Clinical and Preventive Nutrition Sciences, 65 Bergen St, Suite 120, Newark, NJ 07107, United States.
Pamela Rothpletz-PugliaRutgers School of Health Professions, Department of Clinical and Preventive Nutrition Sciences, 65 Bergen St, Suite 120, Newark, NJ 07107, United States.
Tenzin SangmoRutgers School of Health Professions, Department of Clinical and Preventive Nutrition Sciences, 65 Bergen St, Suite 120, Newark, NJ 07107, United States.
Todd RosenRutgers Robert Wood Johnson Medical School, Department of Obstetrics, Gynecology and Reproductive Sciences, 125 Paterson St., Suite 4200, New Brunswick, NJ 08901, United States.
Shauna WilliamsRutgers New Jersey Medical School, Department of Obstetrics, Gynecology and Reproductive Health, 185 South Orange Ave, Newark, NJ 07101, United States.
Mafudia SuarayRutgers Robert Wood Johnson Medical School, Department of Family Medicine and Community Health, 317 George Street, Suite 100, New Brunswick, NJ 08901, United States.
Shristi RawalRutgers School of Health Professions, Department of Clinical and Preventive Nutrition Sciences, 65 Bergen St, Suite 120, Newark, NJ 07107, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Hypertensive disorders of pregnancy (HDP) contribute to maternal mortality and morbidity globally. Mobile health technologies may improve HDP management through patient education, facilitating patient-provider communication, and supporting blood pressure self-monitoring through tailored feedback and reminder prompts. Our objective was to understand the digital health needs of women with HDP from low-socioeconomic backgrounds. Methods: An interactive HDP management digital prototype was developed and evaluated through usability and acceptability testing. Participants included nine pregnant or postpartum women with diagnosed HDP and three maternal-fetal medicine specialists, recruited from two clinics in a predominantly low-income city, Newark, N.J., in 2024 The Technology Acceptance Model was used to guide the assessment of the prototype's acceptability and usability. Data were collected from interviews, a digital literacy questionnaire, and a system usability questionnaire, with quantitative data analyzed descriptively and qualitative data through content analysis. Results: The median gestational age among pregnant women was 22.0 (17.0, 29.0) weeks, with 89 % identifying as Black/African American. Most women (78 %) reported moderate or high digital health literacy. The mean System Usability score was 81 ± 17, indicating good usability. Three themes were identified: high acceptability and usability, the importance of tailored feedback, and the need for real-time provider-patient communication to support treatment decisions. Conclusions: These findings indicate a high acceptability and usability of a digital application for HDP management and home blood pressure monitoring among pregnant and postpartum women diagnosed with HDP and their providers in a low-income urban setting.

Indexed as

AcceptabilityHypertensionmHealthPostpartumPregnancyUsability

Identifiers

PMID40495897
PMCPMC12148833

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LicenceCC BY-NC-ND
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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.