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. 2020 May;72(5):692-698.
doi: 10.1002/acr.23903.

Potential Role of Cost and Quality of Life in Treatment Decisions for Arthritis-Related Knee Pain in African American and Latina Women

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Potential Role of Cost and Quality of Life in Treatment Decisions for Arthritis-Related Knee Pain in African American and Latina Women

Darrell J Gaskin et al. Arthritis Care Res (Hoboken). 2020 May.

Abstract

Objective: The present study was undertaken to investigate whether Latina and African American women with arthritis-related knee pain and primary care providers who treat them believe their treatment decisions would benefit from having more information about the impact of treatment on their quality of life, medical care costs, and work productivity.

Methods: We conducted 4 focus groups of Latina and African American women over age 45 years who had knee pain. We also conducted 2 focus groups with primary care providers who treated Latina and African American women for knee pain. The participants were recruited from the community. They were asked their opinions about a decision tool that presented information on a range of treatment options and their impacts on quality of life, medical care costs, and work productivity. They were asked whether providing this information would help them make better treatment decisions. We analyzed the focus group transcripts using ATLAS.ti.

Results: We found that minority women and primary care providers endorsed the use of a decision-making tool that provided information of the impact of treatment on quality of life, medical care costs, and work productivity. Providers felt that patients would benefit from having the additional information but were concerned about its complexity and some patients' ability to comprehend the information.

Conclusion: Latina and African American women could make more informed treatment decisions for their knee pain using a decision-making tool that provides them with significant information about how various treatment options may impact their quality of life, medical care costs, and workforce productivity.

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