Evidence map›Paper›PMID 41069781›Full record

ArticleInternational journal of nursing sciences2025

Perceptions and recommendations of multiparas and health-related professionals on appropriate birth intervals: A descriptive qualitative study.

Hongyan Liu, Xinli Zhu, Zhijing Xu, Shuang Liang, Ya Liu, Xiaojiao Wang, Xu Qian, Chunyi Gu

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Article in International journal of nursing sciences, 2025. 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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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Hongyan LiuDepartment of Nursing, Obstetrics and Gynecology Hospital of Fudan University, Shanghai Key Lab of Reproduction and Development, Shanghai Key Lab of Female Reproductive Endocrine Related Diseases, Shanghai, China.
Xinli ZhuDepartment of Obstetrics, Obstetrics and Gynecology Hospital of Fudan University, Shanghai Key Lab of Reproduction and Development, Shanghai Key Lab of Female Reproductive Endocrine Related Diseases, Shanghai, China.
Zhijing XuRory Meyers College of Nursing, New York University, NY, USA.
Shuang LiangDepartment of Nursing, Obstetrics and Gynecology Hospital of Fudan University, Shanghai Key Lab of Reproduction and Development, Shanghai Key Lab of Female Reproductive Endocrine Related Diseases, Shanghai, China.
Ya LiuDepartment of Maternal, Child, and Adolescent Health, School of Public Health, Fudan University, Shanghai, China.
Xiaojiao WangDepartment of Nursing, Obstetrics and Gynecology Hospital of Fudan University, Shanghai Key Lab of Reproduction and Development, Shanghai Key Lab of Female Reproductive Endocrine Related Diseases, Shanghai, China.
Xu QianDepartment of Maternal, Child, and Adolescent Health, School of Public Health, Fudan University, Shanghai, China.
Chunyi GuDepartment of Nursing, Obstetrics and Gynecology Hospital of Fudan University, Shanghai Key Lab of Reproduction and Development, Shanghai Key Lab of Female Reproductive Endocrine Related Diseases, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: This study aimed to explore the perceptions and recommendations of multiparas and health-related professionals regarding appropriate birth intervals (BIs) and key determinants. Methods: In-depth semi-structured interviews were conducted between April 1 and June 30, 2022. Nine multiparas and thirteen health-related professionals were purposefully sampled until data saturation was reached. A thematic analysis approach was applied to the interview transcripts, utilizing dual independent coding and consensus validation in NVivo 12.0. Results: The data generated two overarching categories: 1) balanced decision-making on the appropriate birth intervals and 2) internal and external determinants integrated with health and societal considerations. Four key themes emerged following the two categories: 1) consistency and discrepancy between the actual and recommended birth intervals of multiparas; 2) health- and development-oriented professional recommendations; 3) internal determinants related to individual-level factors; and 4) external determinants related to child-related factors, family support, and social security. Weighing women's reproductive health and career development, multiparas and health-related professionals perceived a length between 18 and 36 months as the appropriate BI. Conclusion: Multiparas and health-related professionals shaped their balanced recommendations on a relatively appropriate birth interval ranging from 18 to 36 months, which was influenced by women's individual-level factors, child-related factors, family support, and social security. Targeted social and healthcare services should be offered to women and their families during the BIs.

Indexed as

Birth intervalHealth personnelMultiparaPerceptionRisk factor

Identifiers

PMID41069781
PMCPMC12504970

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LicenceCC BY-NC-ND
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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.