How Medical Social Workers Go through Ethical Dilemmas with Displaced Patients: A Qualitative Study Based on a Tertiary Hospital in Shanghai, China.

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Title: How Medical Social Workers Go through Ethical Dilemmas with Displaced Patients: A Qualitative Study Based on a Tertiary Hospital in Shanghai, China.
Authors: Zhuang, Jie (AUTHOR), Deng, Yue (AUTHOR), Chen, Yan-Yan (AUTHOR)
Source: Health & Social Work. Feb2026, Vol. 51 Issue 1, p40-49. 10p.
Subjects: Social workers, Patients, Qualitative research, Data mining, Self-efficacy, Interprofessional relations, Ethical problems, Tertiary care, Retrospective studies, Families, Social case work, Thematic analysis, Ethical decision making, Medical records, Acquisition of data, Refugees
Geographic Terms: China
Abstract: This study focused on services for displaced patients at a Shanghai tertiary hospital and explored how social workers went through ethical dilemmas from an ecological and care ethics perspective. Using clinical data mining, the authors analyzed 49 case records, revealing that patients encountered multifaceted challenges stemming from personal, familial, medical, and social systems. This research led to a social work intervention model, focusing on the empowerment of the individual system, reconstruction of the family system, coordination of the medical system, and integration of the social system. It is recommended that medical social workers adopt a systematic approach to address the diverse needs of displaced patients, and foster collaboration across personal, familial, medical, and social domains, emphasizing empowering patients and families in ethical decision making, striving to align resources with needs amid social structural challenges, and advocating policy support and establishing a care system, while critically evaluating the application of care ethics in these cases. [ABSTRACT FROM AUTHOR]
Copyright of Health & Social Work is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: How Medical Social Workers Go through Ethical Dilemmas with Displaced Patients: A Qualitative Study Based on a Tertiary Hospital in Shanghai, China.
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  Data: This study focused on services for displaced patients at a Shanghai tertiary hospital and explored how social workers went through ethical dilemmas from an ecological and care ethics perspective. Using clinical data mining, the authors analyzed 49 case records, revealing that patients encountered multifaceted challenges stemming from personal, familial, medical, and social systems. This research led to a social work intervention model, focusing on the empowerment of the individual system, reconstruction of the family system, coordination of the medical system, and integration of the social system. It is recommended that medical social workers adopt a systematic approach to address the diverse needs of displaced patients, and foster collaboration across personal, familial, medical, and social domains, emphasizing empowering patients and families in ethical decision making, striving to align resources with needs amid social structural challenges, and advocating policy support and establishing a care system, while critically evaluating the application of care ethics in these cases. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Health & Social Work is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1093/hsw/hlaf051
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 10
        StartPage: 40
    Subjects:
      – SubjectFull: Social workers
        Type: general
      – SubjectFull: Patients
        Type: general
      – SubjectFull: Qualitative research
        Type: general
      – SubjectFull: Data mining
        Type: general
      – SubjectFull: Self-efficacy
        Type: general
      – SubjectFull: Interprofessional relations
        Type: general
      – SubjectFull: Ethical problems
        Type: general
      – SubjectFull: Tertiary care
        Type: general
      – SubjectFull: Retrospective studies
        Type: general
      – SubjectFull: Families
        Type: general
      – SubjectFull: Social case work
        Type: general
      – SubjectFull: Thematic analysis
        Type: general
      – SubjectFull: Ethical decision making
        Type: general
      – SubjectFull: Medical records
        Type: general
      – SubjectFull: Acquisition of data
        Type: general
      – SubjectFull: Refugees
        Type: general
      – SubjectFull: China
        Type: general
    Titles:
      – TitleFull: How Medical Social Workers Go through Ethical Dilemmas with Displaced Patients: A Qualitative Study Based on a Tertiary Hospital in Shanghai, China.
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            NameFull: Zhuang, Jie
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            NameFull: Deng, Yue
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            NameFull: Chen, Yan-Yan
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            – D: 01
              M: 02
              Text: Feb2026
              Type: published
              Y: 2026
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              Value: 03607283
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              Value: 51
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            – TitleFull: Health & Social Work
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