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Cited by 305

The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index.

analysis & commentary Measuring Patient Experience As A Strategy For Improving Primary Care

Browne, Katherine, Roseman, Deborah, Shaller, Dale, Edgman-Levitan, Susan·2010·Health Affairs

Abstract

Patients value the interpersonal aspects of their health care experiences. However, faced with multiple resource demands, primary care practices may question the value of collecting and acting upon survey data that measure patients' experiences of care. The Consumer Assessment of Healthcare Providers and Systems (CAHPS) suite of surveys and quality improvement tools supports the systematic collection of data on patient experience. Collecting and reporting CAHPS data can improve patients' experiences, along with producing tangible benefits to primary care practices and the health care system. We also argue that the use of patient experience information can be an important strategy for transforming practices as well as to drive overall system transformation.

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Metadata

Authors
Browne, K., Roseman, D., Shaller, D., & Edgman-Levitan, S.
Venue
Health Affairs
Published
2010-05
Volume
29
Issue
5
Pages
921-925
ISSN
  • 0278-2715 (ISSN-L)
  • 1544-5208
OpenAlex
W2098646109
Cited by
305
References
34
FWCI
18.98
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: analysis & commentary Measuring Patient Experience As A Strategy For Improving Primary Care. https://app.cochat.ai/papers/10.1377/hlthaff.2010.0238
The paper
Browne, K., Roseman, D., Shaller, D., & Edgman-Levitan, S. (2010). analysis & commentary Measuring Patient Experience As A Strategy For Improving Primary Care. Health Affairs. https://doi.org/10.1377/hlthaff.2010.0238

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.