Evidence map›Paper›PMID 42464160›Full record

SynthesisBMC pregnancy and childbirth2026

A rapid review of digital health applications supporting self-care during pregnancy and postpartum period.

Yasaman Jafari, Elham Shakibazadeh, Reza Rabiei, Hossein Sadr, Seyed Hamid Hosseini, Rezvan Rajabzadeh

Abstract readReviewSystematic Review
In one paragraph

Synthesis in BMC pregnancy and childbirth, 2026. 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.

Yasaman JafariDepartment of Health Education and Promotion, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Elham ShakibazadehDepartment of Health Education and Promotion, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran. shakibazadeh@tums.ac.ir.
Reza RabieiDepartment of Health Information Technology and Management, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences (SBMU), Tehran, Iran. R.Rabiei@sbmu.ac.ir.
Hossein SadrDepartment of Artificial Intelligence in Medicine, Faculty of Advanced Technologies in Medicine, Iran University of Medical Sciences, Tehran, Iran.
Seyed Hamid HosseiniDepartment of Health Education and Public health, Non-Communicable Disease Research Center, Sabzevar University of Medical Sciences, Sabzevar, Iran.
Rezvan RajabzadehNon-Communicable Diseases Research Center, Sabzevar University of Medical Sciences, Sabzevar, Iran.

Funding

Tehran University of Medical Sciences and Health Services 91126
6 · The paper itself

Abstract

backgroundWith the growing adoption of mobile technologies, mHealth applications have emerged as valuable tools for enhancing maternal healthcare by providing accessible and flexible support throughout pregnancy and postpartum period. Despite their widespread use, limited evidence exists on how these apps are designed and evaluated for self-care, highlighting the need for a structured review.

methodsA rapid review was conducted using a structured search in PubMed, Scopus, and Web of Science to identify studies focusing on digital applications delivered through mobile or web-based platforms that support self-care during pregnancy and postpartum. Eligible studies included randomized controlled trials, study protocols, and development papers published from 2015 to 2025. Data were extracted and narratively synthesized to examine app features, theoretical foundations, and evaluation strategies.

resultsA total of 13 studies were included, primarily evaluating mobile health (mHealth) interventions during pregnancy and postpartum period. The applications predominantly targeted mental health, lifestyle behaviors, and health literacy. Randomized controlled trials were the most common study design. Although several studies applied behavioral theories such as Cognitive Behavioral Therapy and Social Cognitive Theory, many lacked explicit theoretical frameworks.

conclusionsmHealth applications show promise in supporting maternal self-care, particularly for postpartum mental health. However, many interventions lack theoretical grounding and long-term evidence. Future efforts should prioritize scalable, theory-based, and culturally tailored designs to enhance effectiveness and sustainability.

Indexed as

Mobile ApplicationsPostnatal CarePostpartum PeriodPrenatal CareSelf CareDigital HealthFemaleHumansPregnancyTelemedicineMobile ApplicationsPostpartum PeriodPregnancyPrenatal CareSelf-Care

Identifiers

PMID42464160
PMCPMC13656701

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.