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Predictors of Super-Performers in the Home Health Industry: Towards Improving Care for the Elderly

Predictors of Super-Performers in the Home Health Industry: Towards Improving Care for the Elderly

Sukhen Dey, Pamela Pinto-Oehme
Copyright: © 2021 |Volume: 1 |Issue: 1 |Pages: 16
ISSN: 2767-3820|EISSN: 2767-3839|EISBN13: 9781799884712|DOI: 10.4018/JHMS.2021010102
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MLA

Dey, Sukhen, and Pamela Pinto-Oehme. "Predictors of Super-Performers in the Home Health Industry: Towards Improving Care for the Elderly." JHMS vol.1, no.1 2021: pp.14-29. http://doi.org/10.4018/JHMS.2021010102

APA

Dey, S. & Pinto-Oehme, P. (2021). Predictors of Super-Performers in the Home Health Industry: Towards Improving Care for the Elderly. Journal of Healthcare Management Standards (JHMS), 1(1), 14-29. http://doi.org/10.4018/JHMS.2021010102

Chicago

Dey, Sukhen, and Pamela Pinto-Oehme. "Predictors of Super-Performers in the Home Health Industry: Towards Improving Care for the Elderly," Journal of Healthcare Management Standards (JHMS) 1, no.1: 14-29. http://doi.org/10.4018/JHMS.2021010102

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Abstract

The world is aging. This paper focuses on the home health care sector. The authors have examined the patient experience aspects of the elderly population. The Agency for Healthcare Research and Quality (AHRQ) designed a Consumer Assessment of Healthcare Providers and Systems (CAHPS) survey specifically for the home healthcare population (HHCAHPS). This paper has identified super-performers within the U.S. home healthcare agencies. By super-performers, this research implies agencies that received superior consumer experience ratings among the U.S. home healthcare segment. The authors applied machine learning techniques to compose a predictive model and identify the predictors of super-performer agencies. The study signals the need for clinically oriented variables for a better model. This paper intends to continue this research with the additional clinically-driven care measures for the patients at home.

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