Evidence map›Paper›PMID 36550461›Full record

ArticleBMC pregnancy and childbirth2022

Midwife empathy and its association with the childbirth experience: a cross-sectional study.

Yuhua Jin, Yanpeng Wu, Jing Li

Open access · goldAbstract read
In one paragraph

Article in BMC pregnancy and childbirth, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.0field-weighted citation impact, top 24% of its field
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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3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 8 citations in OpenAlex.

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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

3 authors at 3 institutions in 1 country.

Yuhua JinDepartment of Obstetrics and Gynecology, Shenzhen Samii Medical Center, Shenzhen, 518118, Guangdong Province, China.
Yanpeng WuSchool of Public Health, Fudan University, Shanghai, 200433, China.
Jing LiDepartment of Obstetrics and Gynecology, Shenzhen Hospital, Southern Medical University, Shenzhen, 518100, Guangdong Province, China. lanxinji2019@smu.edu.cn.
Fudan University · CNShenzhen Genoimmune Medical Institute · CNSouthern Medical University Shenzhen Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough pregnancy and childbirth comprise a life-course that most midwives experience, whether their own experiences of childbirth resonate with other women during childbirth remains to be determined. In this study, we therefore characterized midwives' empathic capabilities and defined their underlying factors.

methodWe conducted a cross-sectional study with data from 464 midwives in Guangdong, China, that were collected through the "Chinese version of the Jefferson Scale of Empathy for Health Professionals (JSE-HP)." This questionnaire contains sections related to midwife demographics and delivery characteristics. We then implemented multivariate logistic regression analysis to identify empathy-related factors.

resultsOur analysis revealed 303 (65.3%) participants in the high-empathy group while 161 (34.7%) were in the middle-empathy group. Compared with the reference groups, these results indicated that higher empathy was associated with an elevated educational level (OR, 1.83; 95% CI, 1.04-3.25), high monthly salary (OR, 2.30; 95% CI, 1.11-4.80), and no shift work (OR, 2.89; 95% CI, 1.09-7.63). The odds of a high empathy score were higher for midwives who experienced two childbirths (2.27, 1.11-4.66) and for those who had children under the age of 3 years (2.81, 1.34-5.92).

conclusionMidwives possess a moderate-to-high level of empathy, and the greater the number of childbirths they experienced and the younger their children, the higher their reported empathy score. This study contributes novel information regarding the empathic behavior of midwives toward women who give birth in China.

Indexed as

MidwiferyAttitude of Health PersonnelChildChild, PreschoolCross-Sectional StudiesEmpathyFemaleHumansParturitionPregnancyChildbirthChinese midwifeEmpathyJefferson scale of empathy

Identifiers

PMID36550461
PMCPMC9774080
OpenAlexW4312190899

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.