Evidence map›Paper›PMID 41211000›Full record

ArticlemHealth2025

Participant evaluation of MOMitor™-a smartphone-based application that monitors postpartum mental and physical health status.

Deepthi S Varma, Amie J Goodin, Tianze Jiao, Julia Yang, Tony S Wen, Kay Roussos-Ross

Abstract read
In one paragraph

Article in mHealth, 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.

Deepthi S VarmaDepartment of Epidemiology, College of Public Health and Health Professions & College of Medicine, University of Florida, Gainesville, FL, USA.
Amie J GoodinDepartment of Pharmaceutical Outcomes and Policy, College of Pharmacy, University of Florida, Gainesville, FL, USA.
Tianze JiaoDepartment of Pharmaceutical Outcomes and Policy, College of Pharmacy, University of Florida, Gainesville, FL, USA.
Julia YangDepartment of Pharmaceutical Outcomes and Policy, College of Pharmacy, University of Florida, Gainesville, FL, USA.
Tony S WenDepartment of Obstetrics and Gynecology, College of Medicine, University of Florida, Gainesville, FL, USA.
Kay Roussos-RossDepartment of Obstetrics and Gynecology, College of Medicine, University of Florida, Gainesville, FL, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: MOMitor™ is a mobile app using ecological momentary assessment (EMA) developed and piloted in a large, quaternary care health-system. The purpose of MOMitor™ app is to monitor real-time mood, cesarean incision for symptoms of infection, hypertension, and diabetes in postpartum women. The MOMitor™ triggers alerts for clinic staff when predetermined thresholds are crossed based on survey responses. This prompts nurse-led follow-up and necessary clinical actions. This study aims to analyze exit surveys from all MOMitor™ participants at the end of the 6-week postpartum intervention during the app's 1-year beta testing phase. The objectives of this multi-method study were to explore the user (postpartum women's) satisfaction with the MOMitor™ app, perceived benefit, and challenges encountered during the use. Methods: We enrolled 535 women in a 6-week study using the MOMitor™ app, which involved downloading and using the app postpartum. Participants received an exit survey via email, with reminders, and completed it electronically through research electronic data capture (REDCap). The survey included multiple-choice and open-ended questions to assess user (postpartum women's) experience, app utility, and suggested improvements. Responses were collected electronically through REDCap; statistical analysis was performed using SAS version 9.4 to examine the association between monitored conditions and app compliance and usefulness. Content analysis of open-ended responses identified themes of satisfaction and challenges with the app, providing valuable insights into user (postpartum women's) experience and app functionality. Results: The overall response rate to the exit survey was 49.4%. A total of 190/535 participants reported opening the app. 91.4% of participants who opened the app reported receiving 38 notifications, and 84% completing assessments most or every time. A significant proportion of respondents also utilized mood tracking (75%), nurse contact (46.9%), and clinician discussions (21.9%). The qualitative data showed that the benefits of the MOMitor™ app as its ability to give support in symptom monitoring, ease of reaching clinicians when needed, helpful notifications for task reminders, and the convenience of having an easy-to-use app always accessible on their phones. Further, challenges with the MOMitor™ apps were unfriendly interface, short response times, frequent update requirements, the need to keep the app open in the background, and a visually unappealing design. Conclusions: This feasibility study indicates that mobile apps like MOMitor™, using EMA, can be a useful tool for monitoring postpartum women's health, but may not be universally adopted due to varying levels of engagement and participation. Enhanced patient-clinician communication and self-monitoring benefits of MOMitor™ were valued and accepted by the participants.

Indexed as

cesarean-section (C-section)diabeteshypertensionmHealthpostpartum mood

Identifiers

PMID41211000
PMCPMC12593978

What OpenQuestion holds

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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.