Evidence map›Paper›PMID 32766330›Full record

ArticleJournal of education and health promotion2020

Maternal health improvement through root cause analysis of severe maternal morbidity (maternal near miss) in Isfahan, Iran.

Sepideh Zhali, Shahnaz Kohan, Azar Danesh Shahraki, Marjan Beigi

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Article in Journal of education and health promotion, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
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1 · What the graph read from it

What it found

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Sepideh ZhaliStudent Research Center, Faculty of Nursing and Midwifery, Isfahan University of Medical Science, Isfahan, Iran.
Shahnaz KohanDepartment of Midwifery and Reproductive Health, Faculty of Nursing and Midwifery, Isfahan University of Medical Science, Isfahan, Iran.
Azar Danesh ShahrakiDepartment of Obstetrics and Gynecology, Faculty of Medicine, Isfahan University of Medical Science, Isfahan, Iran.
Marjan BeigiDepartment of Midwifery and Reproductive Health, Faculty of Nursing and Midwifery, Isfahan University of Medical Science, Isfahan, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionInvestigating severe maternal morbidity and near-miss cases are applied internationally as a new indicator to examine the quality of maternal care and as an effective strategy to reduce maternal mortality. This study aimed to determine the root causes of severe maternal morbidity in order to improve maternal health. MATERIALS AND

methodsThe present research is a descriptive case series study. The data was obtained from the hospital and health records of mothers admitted to hospitals affiliated to Isfahan University of Medical Sciences due to severe morbidity in the first 6 months of 2018, which were selected randomly. The data collection was completed by interviews with the mentioned mothers and 14 related health-care staffs and that led to the development of the morbidity story. The compiled story of each case was evaluated by the root analysis team's opinion. Causes of morbidity were determined according to a root cause analysis checklist composing of factors such as health-care services (human and structural factors), family-social status, and disease status of maternal morbidity.

resultsThe findings indicated that human factors related to the health system led to severe maternal morbidity more than any cause. Inadequate knowledge and skills of service providers, disregard for guidelines and protocols, lack of teamworking, and lack of considering competency were the most important human factors. Disease condition, family, and social status were the other related factors, respectively.

conclusionHuman factors are the most important cause of maternal morbidity based on the results of this study. Therefore, modifying the health structure can be one of the most important reducing factors for maternal mortality in order to improve the services for these individuals.

Indexed as

Iranmaternal near-missroot cause analysissevere maternal morbidity

Identifiers

PMID32766330
PMCPMC7377130

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