A National Typology of Health Service Regulation in Assisted Living

Author:

Smith Lindsey12ORCID,Carder Paula23,Hua Cassandra14ORCID,Zimmerman Sheryl56,Sloane Philip D57,Zhang Wenhan8,Wretman Christopher J9,Cornell Portia14,Thomas Kali S14

Affiliation:

1. Department of Health Services, Policy, and Practice, Brown University School of Public Health , Providence, Rhode Island , USA

2. Institute on Aging, Portland State University , Portland, Oregon , USA

3. Oregon Health & Science University, Portland State University School of Public Health , Portland, Oregon , USA

4. Center of Innovation in Long-Term Services and Supports, US Department of Veterans Affairs Medical Center , Providence, Rhode Island , USA

5. The Cecil G. Sheps Center for Health Services Research, University of North Carolina at Chapel Hill , Chapel Hill, North Carolina , USA

6. School of Social Work and the Center for Excellence in Assisted Living, University of North Carolina at Chapel Hill , Chapel Hill, North Carolina , USA

7. School of Medicine, University of North Carolina at Chapel Hill , Chapel Hill, North Carolina , USA

8. Department of Population Health Sciences, Duke University School of Medicine , Durham, North Carolina , USA

9. Wretman Research, LLC , Hillsborough, North Carolina , USA

Abstract

Abstract Background and Objectives State-regulating agencies use 350 different licenses and certifications to govern assisted living (AL), resulting in significant variation in regulations governing health services, the scope of practice, and capacity. This lack of standardization makes it difficult to compare and contrast AL operations and residents’ outcomes across similarly regulated communities. Research Design and Methods We used qualitative and quantitative methods to empirically develop and describe a typology of state AL regulations that captures inter- and intrastate variation. Based on the rules governing health services, we created regulatory specificity scores for 5 thematic dimensions: medication administration, third-party care, skilled nursing, medication review, and licensed nurse staffing. With these scores, we conducted a K-means cluster analysis to identify groups of AL license types. To differentiate the regulatory types, we calculated standardized mean differences across structure, process, outcome, and resident characteristics of the AL communities licensed under each type. Results We identified 6 types of AL differentiated by the regulatory provisions governing health services: Housing, Holistic, Hybrid, Hospitality, Healthcare, and Health Support. The types align with previous work and reflect tangible differences in resident characteristics, health service structures, processes, and outcomes. Discussion and Implications This typology effectively captures differences across regulated dimensions and can inform and support quality of care. Researchers, policy-makers, and consumers may benefit from using this typology and acknowledging these differences in AL licensure when designing research studies, developing policies, and selecting an AL community.

Funder

National Institutes of Health

National Institute on Aging

Publisher

Oxford University Press (OUP)

Subject

Geriatrics and Gerontology,Gerontology,General Medicine

Reference62 articles.

1. Clustering categorical data using silhouette coefficient as a relocating measure;Aranganayagi,2007

2. Typologies and Taxonomies

3. Licensed nurse staffing and health service availability in residential care and assisted living;Beeber,2014

4. State regulations and hospice utilization in assisted living during the last month of life;Belanger,2021

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