Evidence map›Paper›PMID 42016435›Full record

ArticleJournal of education and health promotion2026

Assessing the effectiveness of telephone-based educational intervention using the health belief model on preventing abortion attempts among married mothers.

Parastoo Gahadi, Marjan Beigi, Zahra Sohrabi

Abstract read
In one paragraph

Article in Journal of education and health promotion, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

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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

3 authors.

Parastoo GahadiNursing and Midwifery Care Research Center, Faculty of Nursing and Midwifery, Isfahan University of Medical Sciences, Isfahan, Iran.
Marjan BeigiDepartment of Midwifery and Reproductive Health, Nursing and Midwifery Care Research Center, Faculty of Nursing and Midwifery, Isfahan University of Medical Sciences, Isfahan, Iran.
Zahra SohrabiNursing and Midwifery Care Research Center, Faculty of Nursing and Midwifery, Isfahan University of Medical Sciences, Isfahan, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUnsafe and illegal abortions continue to be a major contributor to maternal mortality globally. Education, particularly when applied as a primary prevention strategy, plays a vital role in reducing such risks. The health belief model (HBM) introduces behavioral science into public health and offers a framework for influencing health-related decisions. Considering the difficulties associated with in-person education for women considering abortion, a telephone-based educational approach was selected as a practical alternative. The present study aimed to investigate the effectiveness of educational intervention via telephone using the HBM in preventing abortion attempts in married women in Isfahan. MATERIALS AND

methodThis semi-experimental clinical trial involved 72 pregnant married women seeking abortion services at four randomly chosen comprehensive health centers. Two centers were assigned to the intervention group and two to the control group. Participants were selected using convenience sampling. Data collection involved two tools: a demographic questionnaire and a 34-item HBM-based questionnaire. The intervention group received three educational sessions of 20 min each via telephone. The control group received standard care. Questionnaires were completed before the intervention and again 1 week later to allow for timely guidance and prevention efforts.

resultsPost-intervention results showed a significant improvement in the intervention group's mean scores for perceived susceptibility, severity, benefits, and self-efficacy (

conclusionThese findings confirm that telephone-based education using the HBM can effectively discourage abortion attempts and promote informed reproductive decisions.

Indexed as

Health belief modelinduced abortionmarriedmotherstelephone education

Identifiers

PMID42016435
PMCPMC13094920

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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.