Urvey Methods for a Nationally Representative Sample of Assisted Living and Residential Care Communities

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ID: 313694
2026
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Abstract
BACKGROUND AND OBJECTIVES: Survey research is important in tackling the complexity of the increasing numbers and types of assisted living and residential care communities (ALCs) and the services provided, as well as the staffing challenges affecting long-term care settings. We describe the methodological experience of conducting a nationally representative survey of administrators. RESEARCH DESIGN AND METHODS: The sampling frame was drawn a directory of ALCs that were licensed, certified or otherwise regulated by states in 2019 . From October 2021-October 2023, the administrator from each randomly selected ALC was mailed a questionnaire about end-of-life care and cover letter with a username and password for web-response if preferred. Tailored follow-up was conducted with non-responders. RESULTS: A total of 2084 ALCs participated [Overall response rate (RR)=43.4%. Research staff made a total of 36,258 contacts with administrators in all sampled ALCs for an average of nine minutes per contact. The likelihood of obtaining a completed survey increased with additional contact attempts, with the most gains occurring within seven attempts. More contacts were required for large, urban ALCs as well as those with specialized memory care. Accounting for all direct costs, the average cost per survey completion was $195 exclusive of incentives. DISCUSSION AND IMPLICATIONS: To obtain representative, high-quality data about the characteristics of residents and the care provided within the large and growing sector of ALCs, sufficient resources must be available to continue to develop and refine cost-effective, novel survey methods for recruitment and data collection.
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openalex_W7161025940 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Melissa A Clark, MarthaF. Rogers, Tamara A Sequeira, Kali S Thomas, Emmanuelle Bélanger
Journal the gerontologist
Year 2026
DOI
10.1093/geront/gnag109
URL
https://doi.org/10.1093/geront/gnag109
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