Caring for an Aging Population in a Post-Pandemic World: Emerging trends in the U.S. Older Adult Care Industry

29 Pages Posted: 16 Feb 2021

See all articles by Lu Kong

Lu Kong

University of South Florida - School of Information Systems and Management

Kejia Hu

Vanderbilt University - Operations Management

Matthew Walsman

Rutgers University

Date Written: February 14, 2021

Abstract

In this paper, we examine older adult care services after a global pandemic and identify new opportunities for care in a post-pandemic world, while recognizing the existing models that will continue successfully. Primary survey data was collected from both the supply side (n=29) and demand side (n=134) of the U.S. older adult care system. The results indicate a trend in the demand side that customers’ preferences for senior care is moving towards de-institutional care options after the outbreak of the Covid-19 pandemic; a development confirmed by the supply side, indicated by occupancy becoming a more challenging issue after pandemic outbreak. Findings also suggest a strong agreement between the demand and supply on the most important aspects of institutional care. Both customers and industry practitioners consider safety and quality of clinical services the top care priority. Lastly, staffing continues to be a major challenge for most institutional practitioners. As the first paper (to the best of our knowledge) that systematically evaluable the situation of the U.S. senior care industry after the pandemic outbreak, our timely results have pinpointed the emerging trends and provide many actionable implications for stakeholders such as care receivers, industry practitioners, and policy makers.

Keywords: Healthcare Operations, COVID-19, Service Operations, Older Adult Care

Suggested Citation

Kong, Lu and Hu, Kejia and Walsman, Matthew, Caring for an Aging Population in a Post-Pandemic World: Emerging trends in the U.S. Older Adult Care Industry (February 14, 2021). Available at SSRN: https://ssrn.com/abstract=3785389 or http://dx.doi.org/10.2139/ssrn.3785389

Lu Kong (Contact Author)

University of South Florida - School of Information Systems and Management ( email )

Tampa, FL 33620
United States

Kejia Hu

Vanderbilt University - Operations Management ( email )

Nashville, TN 37203
United States

Matthew Walsman

Rutgers University ( email )

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