A Mixed Methods Investigation of the Prevalence and Influencing Factors of Compassion Fatigue among Midwives in Different Areas of China. (12th October 2022)
- Record Type:
- Journal Article
- Title:
- A Mixed Methods Investigation of the Prevalence and Influencing Factors of Compassion Fatigue among Midwives in Different Areas of China. (12th October 2022)
- Main Title:
- A Mixed Methods Investigation of the Prevalence and Influencing Factors of Compassion Fatigue among Midwives in Different Areas of China
- Authors:
- Liang, Xin
Yuan, Ping
Su, Xingyan
Xing, Yuanyuan
Qiang, Kejiao
Gao, Zumei
Wang, Jun - Other Names:
- Kumar Vijay Academic Editor.
- Abstract:
- Abstract : Objective . Exploring the influencing factors of compassion fatigue among midwives to prevent compassion fatigue from occurring and improve their mental health. Methods . A method integrating the quantitative research method and qualitative research method is used. For the quantitative research, a cross-sectional study was carried out. State-run hospitals from three economic areas in China were selected as investigation scope from June 2018 to May 2021. A total of 515 midwives were chosen randomly from three economic areas. SPSS 22.0 was used for data cleaning and statistical description and analysis. The influencing factors of compassion fatigue among midwives were analyzed by fitting these two-level logistic models. For qualitative research, purposive sampling and maximum variation strategy were used to select midwives with mild or above compassion fatigue in the questionnaire survey. Field study and interviews were used to collect data. Results . The results in the quantitative research showed that 515 valid questionnaires were received with 82.14% of midwives whose compassion fatigue were moderate or above. Multilevel statistical model analysis demonstrated that hospital level, children situation, area, working atmosphere, experiences of traumatic delivery, sleep quality, and social support level had impacts on the degree of midwives' compassion fatigue (p < 0.05 ). The result in the qualitative research showed that 34 midwives were interviewed, and 7 topicAbstract : Objective . Exploring the influencing factors of compassion fatigue among midwives to prevent compassion fatigue from occurring and improve their mental health. Methods . A method integrating the quantitative research method and qualitative research method is used. For the quantitative research, a cross-sectional study was carried out. State-run hospitals from three economic areas in China were selected as investigation scope from June 2018 to May 2021. A total of 515 midwives were chosen randomly from three economic areas. SPSS 22.0 was used for data cleaning and statistical description and analysis. The influencing factors of compassion fatigue among midwives were analyzed by fitting these two-level logistic models. For qualitative research, purposive sampling and maximum variation strategy were used to select midwives with mild or above compassion fatigue in the questionnaire survey. Field study and interviews were used to collect data. Results . The results in the quantitative research showed that 515 valid questionnaires were received with 82.14% of midwives whose compassion fatigue were moderate or above. Multilevel statistical model analysis demonstrated that hospital level, children situation, area, working atmosphere, experiences of traumatic delivery, sleep quality, and social support level had impacts on the degree of midwives' compassion fatigue (p < 0.05 ). The result in the qualitative research showed that 34 midwives were interviewed, and 7 topic ideas were refined. Conclusion . Overall, the incidence of compassion fatigue among midwives is high. Risk factors influencing the degree of midwives' compassion fatigue include lower social support, disharmonious working atmosphere, toddler situation, huge workload, experiences of traumatic delivery, and poor quality of sleep. … (more)
- Is Part Of:
- Disease markers. Volume 2022(2022)
- Journal:
- Disease markers
- Issue:
- Volume 2022(2022)
- Issue Display:
- Volume 2022, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 2022
- Issue:
- 2022
- Issue Sort Value:
- 2022-2022-2022-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-10-12
- Subjects:
- Diagnosis -- Periodicals
Biochemical markers -- Periodicals
Pathology -- Periodicals
616 - Journal URLs:
- https://www.hindawi.com/journals/dm/ ↗
- DOI:
- 10.1155/2022/1815417 ↗
- Languages:
- English
- ISSNs:
- 0278-0240
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 24170.xml