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Background: New York State (NYS) has approximately 4.7 million Medicaid beneficiaries with 75% having at least one or more chronic conditions. An estimated 10% of Medicaid beneficiaries seek emergency department (ED) services for nonurgent matters. It is unclear if an increased supply of nurse practitioners (NPs) and physician assistants (PAs) impact utilization of ED and subsequent hospitalizations for chronic conditions. Purpose: To investigate the relationship between NYS workforce supply (physicians, NPs, and PAs) and 1) ED use and 2) in-patient hospitalizations for chronically ill Medicaid beneficiaries. Methods: A cross-sectional study design was employed by calculating total workforce supply per NYS county and the proportion of physicians, NPs, and PAs per total number of Medicaid beneficiaries. We extracted the frequencies of all NYS Medicaid beneficiary chronic condition–related ED visits and in-patient admissions. Medicaid beneficiaries were considered to have a chronic condition if there was a claim indicating that the beneficiary received a service or treatment for this specific condition. We calculated the proportion of ED visits/beneficiary for each chronic disease category and the proportion of category-specific in-patient hospitalizations per the number of beneficiaries with that diagnosis. Results: As the NP/beneficiary proportion increased, ED visits for dual and nondual eligible beneficiaries decreased (p =.007; β = −2.218; 95% confidence interval [CI]: −3.79 to −0.644 and p =.04; β = −2.698; 95% CI: −5.268 to −0.127, respectively). Implications for practice: Counties with a higher proportion of NPs and PAs had significantly lower numbers of ED visits and hospitalizations for Medicaid beneficiaries. [ABSTRACT FROM AUTHOR]

Background: Co-management encompasses the dyadic process between two healthcare providers. The Provider Co-Management Index (PCMI) was initially developed as a 20-item instrument across three theory-informed subscales. Objective: This study aimed to establish construct validity of the PCMI with a sample of primary care providers through exploratory and confirmatory factor analyses. Methods: We conducted a cross-sectional survey of primary care physicians, nurse practitioners, and physician assistants randomly selected from the IQVIA database across New York State. Mail surveys were used to acquire a minimum of 300 responses for split sample factor analyses. The first subsample (derivation sample) was used to explore factorial structure by conducting an exploratory factor analysis. A second (validation) sample was used to confirm the emerged factorial structure using confirmatory factor analysis. We performed iterative analysis and calculated good fit indices to determine the best-fit model. Results: There were 333 responses included in the analysis. Cronbach's alpha was high for a three-item per dimension scale within a one-factor model. The instrument was named PCMI-9 to indicate the shorter version length. Discussion: This study established the construct validity of an instrument that scales the co-management of patients by two providers. The final instrument includes nine items on a single factor using a 4-point, Likert-type scale. Additional research is needed to establish discriminant validity. [ABSTRACT FROM AUTHOR]