Evidence map›Paper›PMID 41437095›Full record

Trial reportReproductive health2025

The impact of a digital self-care intervention based on mHealth on reducing sleep disorders during pregnancy: a quasi-experimental controlled study.

Mahdieh Naderi, Zahra Alipour, Zohre Khalajinia, Zohre Momenimovahed

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Reproductive health, 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
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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

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

4 authors.

Mahdieh NaderiDepartment of Midwifery, Student Research Center, Qom University of Medical Sciences, Qom, Iran.ORCID http://orcid.org/0009-0002-9550-3534
Zahra AlipourAssistant Professor of Reproductive Health, Spiritual Health Research Center, Qom University of Medical Sciences, Qom, Iran. kanom_alipour@yahoo.com.ORCID http://orcid.org/0000-0001-5049-9784
Zohre KhalajiniaProfessor of Reproductive Health, Spiritual Health Research Center, Qom University of Medical Sciences, Qom, Iran.ORCID http://orcid.org/0000-0002-3815-2881
Zohre MomenimovahedAssociate Professor of Reproductive Health, Spiritual Health Research Center, Qom University of Medical Sciences, Qom, Iran.ORCID http://orcid.org/0000-0001-7747-6080

Funding

Qom University of Medical Science IR.MUQ.REC.1403.292
6 · The paper itself

Abstract

backgroundSleep disorders affect up to 80% of pregnant women, leading to risks such as preeclampsia and preterm birth, especially in low- and middle-income countries such as Iran. Mobile health (mHealth) digital self-care interventions can provide accessible solutions; however, few incorporate traditional medicine. This study assessed the effectiveness of a digital self-care intervention utilizing mobile health (mHealth) to enhance sleep quality and improve health literacy in pregnant women.

methodsThis quasi-experimental controlled trial was conducted from April to August 2025 in Qom, Iran, and involved 72 pregnant women from a community health center. Participants were randomly assigned to either the intervention (n = 36) or control (n = 36) groups. The intervention included twice-weekly digital sessions via messaging apps (Eita and Telegram), focusing on six areas of Iranian traditional medicine for pregnancy: nutrition, mental health, physical activity, sleep, environmental factors, and bodily substance retention. The sessions featured audio files, videos, pamphlets, reminders, and question-and-answer sessions over three months. Sleep quality was measured using the Pittsburgh Sleep Quality Index (PSQI), and health literacy was assessed using the Maternal Health Literacy Questionnaire at baseline and three months post-intervention. Data analysis was performed using SPSS version 26 with t-tests and chi-square tests (p<0.05).

resultsBaseline demographics and outcomes were comparable between the groups (p>0.05). Post-intervention, the intervention group's global PSQI score improved significantly from 7.22±3.29 to 4.41±2.75 (p < 0.001), indicating better sleep quality, whereas the control group’s score worsened from 6.58±3.02 to 7.11±3.45 (p=0.32). Improvements were observed in most PSQI subscales in the intervention group. Maternal health literacy increased from 59.94±8.23 to 68.16±4.76 in the intervention group (p < 0.001) compared to a minor increase from 61.38±5.89 to 63.89±4.69 in controls (p=0.02). The between-group differences were significant for all improved outcomes (p<0.05).

conclusionsThis culturally tailored mHealth intervention can improve sleep quality and health literacy in pregnant women by integrating traditional Iranian practices with digital tools. It offers an affordable model for pregnant women to enhance their maternal well-being.

Indexed as

Pregnancy ComplicationsSelf CareSleep Wake DisordersAdultDigital HealthFemaleHealth LiteracyHumansIranPregnancySleep QualityTelemedicineYoung AdultHealth literacyIranian Traditional MedicinemHealthPregnancySelf CareSleep disorders

Identifiers

PMID41437095
PMCPMC12849118

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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.