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Practice characteristics and prior authorization costs: secondary analysis of data collected by SALT-Net in 9 central New York primary care practices

BACKGROUND: An increase in prior authorization (PA) requirements from health insurance companies is placing administrative and financial burdens on primary care offices across the United States. As time allocation for these cases continues to grow, physicians are concerned with additional workload a...

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Autores principales: Epling, John W, Mader, Emily M, Morley, Christopher P
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3945478/
https://www.ncbi.nlm.nih.gov/pubmed/24597483
http://dx.doi.org/10.1186/1472-6963-14-109
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author Epling, John W
Mader, Emily M
Morley, Christopher P
author_facet Epling, John W
Mader, Emily M
Morley, Christopher P
author_sort Epling, John W
collection PubMed
description BACKGROUND: An increase in prior authorization (PA) requirements from health insurance companies is placing administrative and financial burdens on primary care offices across the United States. As time allocation for these cases continues to grow, physicians are concerned with additional workload and inefficiency in the workplace. The objective is to estimate the effects of practice characteristics on time spent per prior authorization request in primary care practices. METHODS: Secondary analysis was performed using data on nine primary care practices in Central New York. Practice characteristics and demographics were collected at the onset of the study. In addition, participants were instructed to complete an "event form" (EF) to document each prior authorization event during a 4–6 week period; prior authorizations included requests for medication as well as other health care services. Stepwise Ordinary Least Squares (OLS) Regression was used to model Time in Minutes of each event as an outcome of various factors. RESULTS: Prior authorization events (N = 435) took roughly 20 minutes to complete (beta = 20.017, p < .001); Medicaid requests took less time (beta = −6.085, p < .001), and Electronic Health Record (EHR) system use reduced prior authorization time by about 5 minutes (beta = −5.086, p = .002). CONCLUSIONS: While prior authorization events impose substantial costs to primary care offices, it appears that Medicaid requests take less time than private payer requests. Results from the study provide support that Electronic Health Record usage may also reduce time required to complete prior authorization requests.
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spelling pubmed-39454782014-03-08 Practice characteristics and prior authorization costs: secondary analysis of data collected by SALT-Net in 9 central New York primary care practices Epling, John W Mader, Emily M Morley, Christopher P BMC Health Serv Res Research Article BACKGROUND: An increase in prior authorization (PA) requirements from health insurance companies is placing administrative and financial burdens on primary care offices across the United States. As time allocation for these cases continues to grow, physicians are concerned with additional workload and inefficiency in the workplace. The objective is to estimate the effects of practice characteristics on time spent per prior authorization request in primary care practices. METHODS: Secondary analysis was performed using data on nine primary care practices in Central New York. Practice characteristics and demographics were collected at the onset of the study. In addition, participants were instructed to complete an "event form" (EF) to document each prior authorization event during a 4–6 week period; prior authorizations included requests for medication as well as other health care services. Stepwise Ordinary Least Squares (OLS) Regression was used to model Time in Minutes of each event as an outcome of various factors. RESULTS: Prior authorization events (N = 435) took roughly 20 minutes to complete (beta = 20.017, p < .001); Medicaid requests took less time (beta = −6.085, p < .001), and Electronic Health Record (EHR) system use reduced prior authorization time by about 5 minutes (beta = −5.086, p = .002). CONCLUSIONS: While prior authorization events impose substantial costs to primary care offices, it appears that Medicaid requests take less time than private payer requests. Results from the study provide support that Electronic Health Record usage may also reduce time required to complete prior authorization requests. BioMed Central 2014-03-06 /pmc/articles/PMC3945478/ /pubmed/24597483 http://dx.doi.org/10.1186/1472-6963-14-109 Text en Copyright © 2014 Epling et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited.
spellingShingle Research Article
Epling, John W
Mader, Emily M
Morley, Christopher P
Practice characteristics and prior authorization costs: secondary analysis of data collected by SALT-Net in 9 central New York primary care practices
title Practice characteristics and prior authorization costs: secondary analysis of data collected by SALT-Net in 9 central New York primary care practices
title_full Practice characteristics and prior authorization costs: secondary analysis of data collected by SALT-Net in 9 central New York primary care practices
title_fullStr Practice characteristics and prior authorization costs: secondary analysis of data collected by SALT-Net in 9 central New York primary care practices
title_full_unstemmed Practice characteristics and prior authorization costs: secondary analysis of data collected by SALT-Net in 9 central New York primary care practices
title_short Practice characteristics and prior authorization costs: secondary analysis of data collected by SALT-Net in 9 central New York primary care practices
title_sort practice characteristics and prior authorization costs: secondary analysis of data collected by salt-net in 9 central new york primary care practices
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3945478/
https://www.ncbi.nlm.nih.gov/pubmed/24597483
http://dx.doi.org/10.1186/1472-6963-14-109
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