Evidence map›Paper›PMID 42008776›Full record

ArticleNursing open2026

Factors Influencing Maternal Readiness for Hospital Discharge: A Cross-Sectional Study.

Zhijing Feng, Xiaofei Tian, Haiyang Zheng, Jiaxin Li, Jingwen Ye, Piaopiao Ma, Guimei Yao, Miaomiao Qiu, Xinxin Li

Abstract read
In one paragraph

Article in Nursing open, 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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1 · What the graph read from it

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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

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Zhijing FengDepartment of Gynecology and Obstetrics, The Seventh Affiliated Hospital of Sun Yat-Sen University, Shenzhen, China.
Xiaofei TianNursing Department, The Seventh Affiliated Hospital of Sun Yat-Sen University, Shenzhen, China.
Haiyang ZhengDepartment of Gynecology and Obstetrics, The Seventh Affiliated Hospital of Sun Yat-Sen University, Shenzhen, China.
Jiaxin LiDepartment of Gynecology and Obstetrics, The Seventh Affiliated Hospital of Sun Yat-Sen University, Shenzhen, China.
Jingwen YeDepartment of Gynecology and Obstetrics, The Seventh Affiliated Hospital of Sun Yat-Sen University, Shenzhen, China.
Piaopiao MaDepartment of Gynecology and Obstetrics, The Seventh Affiliated Hospital of Sun Yat-Sen University, Shenzhen, China.
Guimei YaoDepartment of Gynecology and Obstetrics, The Seventh Affiliated Hospital of Sun Yat-Sen University, Shenzhen, China.
Miaomiao QiuDepartment of Gynecology and Obstetrics, The Seventh Affiliated Hospital of Sun Yat-Sen University, Shenzhen, China.
Xinxin LiDepartment of Gynecology and Obstetrics, The Seventh Affiliated Hospital of Sun Yat-Sen University, Shenzhen, China.ORCID https://orcid.org/0000-0001-9308-3383

Funding

The Seventh Affiliated Hospital of Sun Yat-sen University (SAHSYSU) ZSQYHLKYJJ202302
6 · The paper itself

Abstract

aimTo assess mainland Chinese mothers' readiness for hospital discharge and related factors after childbirth.

designA descriptive cross-sectional study.

methodsConvenience sampling was employed to select women who gave birth at the Department of Obstetrics and Gynaecology of a tertiary hospital in Shenzhen, China, between May 2024 and February 2025. Maternal readiness for hospital discharge was evaluated using the Chinese version of the Readiness for Hospital Discharge Study-New Mother Form. Data were analysed using an independent sample t-test, one-way analysis of variance, Kruskal-Wallis test, Spearman correlation and multiple linear regression analysis.

resultsThe study included 308 mothers aged 20-41 years (31.15 ± 4.14). The total readiness score for hospital discharge was in the range of 54-180 (132.17 ± 22.59). The 'delivery' dimension in the Quality of Discharge Teaching Scale-New Mother Form and the 'lifestyle and behavior' and 'basic skills' dimensions in the Perinatal Maternal Health Literacy Scale were independent factors influencing readiness for hospital discharge (p < 0.05) among mothers after childbirth.

conclusionsMaternal readiness for hospital discharge must be enhanced. This could be done by improving the quality of discharge teaching and maternal health literacy. PATIENT OR PUBLIC CONTRIBUTION: No patient or public contribution.

Indexed as

MothersPatient DischargeAdultChinaCross-Sectional StudiesFemaleHealth LiteracyHumansPregnancySurveys and QuestionnairesYoung Adulthealth literacyinfluencing factorsmaternal readiness for hospital dischargenursingpostpartum periodquality of discharge teaching

Identifiers

PMID42008776
PMCPMC13095163

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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.