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Cited by 785

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Goodness of Fit: Social Work Education and Practice in Health Care

Bronstein, Laura, Kovacs, Pamela, Vega, Alex·2007·Social Work in Health Care

Abstract

This study addresses the fit between social work education and practice in health care. A random sample of NASW members identifying with health care (N = 179) responded to a mail survey about the utility of core knowledge and roles that we had identified by reviewing seven commonly used health care social work texts. Quantitative data revealed knowledge and roles most frequently used in health care settings as well as differences in roles used dependent upon department name; and different professionals supervising social workers. Qualitative data from four open-ended questions provided suggestions for what knowledge and skills should be taught in social work programs, the best forums/methods for teaching this content, and topics for continuing education. Findings are discussed in relation to six key areas of the peer-reviewed literature: vulnerable populations/diversity, ethical dilemmas, interdisciplinary collaboration, mental health, managed care/accountability, and advocacy. Implications for social work practice, education, and research are discussed.

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Metadata

Authors
Bronstein, L., Kovacs, P., & Vega, A.
Venue
Social Work in Health Care
Published
2007-08-14
Volume
45
Issue
2
Pages
59-76
ISSN
  • 0098-1389 (ISSN-L)
  • 1541-034X
OpenAlex
W1741586657
Cited by
785
References
1
FWCI
237.32
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Goodness of Fit: Social Work Education and Practice in Health Care. https://app.cochat.ai/papers/10.1300/j010v45n02_04
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Bronstein, L., Kovacs, P., & Vega, A. (2007). Goodness of Fit: Social Work Education and Practice in Health Care. Social Work in Health Care. https://doi.org/10.1300/j010v45n02_04

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.