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International Journal of Health Sciences (IJHS)
Article . 2014 . Peer-reviewed
Data sources: Crossref
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Employing Nurse Practitioners and Physician Assistants in Nursing Homes: Role of Market Factors

Authors: Shivani Gupta; Josué Patien Epané; Nitish Patidar; Robert Weech-Maldonado;

Employing Nurse Practitioners and Physician Assistants in Nursing Homes: Role of Market Factors

Abstract

Nursing homes are increasingly using nurse practitioners (NPs) and physician assistants (PAs), with approximately 37.1% of them employing NPs/PAs in 2010. This study examines the role of market factors in the nursing homes’ decision to employNPs/PAs. The data (2000-2010) was derived from LTCFocus. The binary dependent variable represented nursing homes’ decision to employ NPs/PAsand the market characteristics constituted the independent variables. A panel logistic regression with facility random effects and state and year fixed effects was used for analysis. Results show that nursing homes operating in more competitive markets and those with higher Medicare managed care penetration are more likely to have NPs/PAs. Moreover, larger, multi-facility, and for-profit facilities and those with higher occupancy rate are more likely to have NPs/PAs. In contrast, nursing homes in counties with higher proportion of residents whose primary support is Medicaid and greater number of hospital-based facilities are less likely to have them. Nursing homes with greater resources employ NPs/PAsas a differentiation strategy in more competitive markets. Policymakers should explore strategies to incentivize use of NPs/PAs in resource-constrained nursing homes, as a potential mechanism to reduce disparities in care.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
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