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Inquiry ; 55: 46958018787694, 2018.
Article in English | MEDLINE | ID: mdl-30035648

ABSTRACT

This examination seeks to determine the influence of proximal density to nurse education resources (nursing schools) on nursing home care quality outcomes in Alabama. Motivated by the social network theory, which highlights the influence of relational closeness on shared resources and values, we hypothesize that nursing homes that have higher levels of nursing education resources within a close proximity will exhibit significantly higher nursing home quality outcomes. As proximal density to nurse education resources increases, the opportunity for nursing homes to build closer, stronger ties increase, leading to higher quality outcomes. We examine this hypothesis via ordered logistic regressions of proximal density measures developed through geographic information systems (GIS) software, nurse education resource data from Johnson & Johnson's Campaign for Nursing's Future (n = 37), and nursing home quality outcome data from Centers for Medicare and Medicaid Services's (CMS) Nursing Home Compare from 2016 (n = 226). The results find that increases in proximal density to nurse education resources have a negative and significant association with nursing home quality outcomes in Alabama. Additional sensitivity analysis, which examines the degree to which the nature of this relationship is sensitive to health care facilities' location in high-density areas, is offered and confirms principal findings. Because nursing programs generally have stronger ties with hospitals, the findings suggest that the nursing homes in areas with higher nurse education resources may actually face greater competition for nurses.


Subject(s)
Education, Nursing , Geographic Information Systems , Nursing Homes/statistics & numerical data , Quality Indicators, Health Care/statistics & numerical data , Alabama , Centers for Medicare and Medicaid Services, U.S. , Humans , Nursing Staff , Social Theory , United States
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