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AbstractThe effort to provide more long‐term care in community‐based settings has caused an expansion in the supply of assisted living beds, yet little is known about the interrelationship between this expansion and nursing home quality. This paper studies data from the State of Ohio to determine if nursing home market structure and the expansion in the supply of assisted living beds impact the quality of care provided by nursing homes. The findings suggest that nursing home quality can be lower in markets with a greater supply of nursing homes. Further, assisted living facility market structure is found to have a mixed effect on nursing home quality. The results of this paper suggest a need for a more integrated approach to regulating long‐term care providers.

Recently, the Centers for Medicare & Medicaid Services (CMS) introduced staffing measures related to staffing variability and turnover in the Nursing Home (NH) Care Compare Five-Star Quality Rating System. While the consensus within the literature is that reduced variability and turnover are associated with higher NH quality of care and life, no existing studies have evaluated the relationship between CMS's newly introduced staffing measures and quality. This study uses regression analysis to estimate the relationship between 13 quality measures (used in Care Compare) and CMS's new staffing measures (i.e., weekend nursing staff levels, total nursing and registered nurse staff turnover, and administrator turnover) as well as a measure of daily staffing variation recently introduced in the literature called the coefficient of variation. Regressions analysis finds strong evidence of an association between quality and these staffing measures, though some measures (e.g., nursing staff turnover) are highly correlated and may be duplicative.

Health care providers face fixed reimbursement rates from government sources and need to carefully adjust staffing to achieve the highest quality within a given cost structure. With data from the Certification and Survey Provider Enhanced Reports (1999-2015), this study holistically examined how staffing levels affect two publicly reported measures of quality in the nursing home industry, the number of deficiency citations and the deficiency score. While higher staffing consistently yielded better quality, the largest quality improvements resulted from increasing administrative registered nurses and social service staffing. After adjusting for wages, the most cost-effective investment for improving overall deficiency outcomes was increasing social services. Deficiencies related to quality of care were improved most by increasing administrative nursing and social service staff. Quality of life deficiencies were improved most by increasing social service and activities staff. Approaches to improve quality through staffing adjustments should target specific types of staff to maximize return on investment.

Racial/ethnic composition of nursing home (NH) plays a particularly important role in NH quality. A key methodological issue is defining when an NH serves a low versus high proportion of racially/ethnically diverse residents. Using the Minimum Data Set from 2015 merged with Certification and Survey Provider Enhanced Reports, we calculated the racial/ethnic composition of U.S.-based NHs for Black or Hispanic residents specifically, and a general Black, Indigenous, and People of Color (BIPOC) grouping for long-stay residents. We examined different definitions of having a high racial/ethnic composition by varying percentile thresholds of composition, state-specific and national thresholds, and restricting composition to BIPOC residents as well as only Black and Hispanic residents. NHs with a high racial/ethnic composition have different facility characteristics than the average NH. Based on this, we make suggestions for how to identify NHs with diverse racial/ethnic resident compositions.