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Medicaid Patients Have Greater Difficulty Scheduling Health Care Appointments Compared With Private Insurance Patients: A Meta-Analysis

Medicaid patients are known to have reduced access to care compared with privately insured patients; however, quantifying this disparity with large controlled studies remains a challenge. This meta-analysis evaluates the disparity in health services accessibility of appointments between Medicaid and...

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Autores principales: Hsiang, Walter R., Lukasiewicz, Adam, Gentry, Mark, Kim, Chang-Yeon, Leslie, Michael P., Pelker, Richard, Forman, Howard P., Wiznia, Daniel H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6452575/
https://www.ncbi.nlm.nih.gov/pubmed/30947608
http://dx.doi.org/10.1177/0046958019838118
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author Hsiang, Walter R.
Lukasiewicz, Adam
Gentry, Mark
Kim, Chang-Yeon
Leslie, Michael P.
Pelker, Richard
Forman, Howard P.
Wiznia, Daniel H.
author_facet Hsiang, Walter R.
Lukasiewicz, Adam
Gentry, Mark
Kim, Chang-Yeon
Leslie, Michael P.
Pelker, Richard
Forman, Howard P.
Wiznia, Daniel H.
author_sort Hsiang, Walter R.
collection PubMed
description Medicaid patients are known to have reduced access to care compared with privately insured patients; however, quantifying this disparity with large controlled studies remains a challenge. This meta-analysis evaluates the disparity in health services accessibility of appointments between Medicaid and privately insured patients through audit studies of health care appointments and schedules. Audit studies evaluating different types of outpatient physician practices were selected. Studies were categorized based on the characteristics of the simulated patient scenario. The relative risk of appointment availability was calculated for all different types of audit scenario characteristics. As a secondary analysis, appointment availability was compared pre- versus post-Medicaid expansion. Overall, 34 audit studies were identified, which demonstrated that Medicaid insurance is associated with a 1.6-fold lower likelihood in successfully scheduling a primary care appointment and a 3.3-fold lower likelihood in successfully scheduling a specialty appointment when compared with private insurance. In this first meta-analysis comparing appointment availability between Medicaid and privately insured patients, we demonstrate Medicaid patients have greater difficulty obtaining appointments compared with privately insured patients across a variety of medical scenarios.
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spelling pubmed-64525752019-05-03 Medicaid Patients Have Greater Difficulty Scheduling Health Care Appointments Compared With Private Insurance Patients: A Meta-Analysis Hsiang, Walter R. Lukasiewicz, Adam Gentry, Mark Kim, Chang-Yeon Leslie, Michael P. Pelker, Richard Forman, Howard P. Wiznia, Daniel H. Inquiry Original Research Medicaid patients are known to have reduced access to care compared with privately insured patients; however, quantifying this disparity with large controlled studies remains a challenge. This meta-analysis evaluates the disparity in health services accessibility of appointments between Medicaid and privately insured patients through audit studies of health care appointments and schedules. Audit studies evaluating different types of outpatient physician practices were selected. Studies were categorized based on the characteristics of the simulated patient scenario. The relative risk of appointment availability was calculated for all different types of audit scenario characteristics. As a secondary analysis, appointment availability was compared pre- versus post-Medicaid expansion. Overall, 34 audit studies were identified, which demonstrated that Medicaid insurance is associated with a 1.6-fold lower likelihood in successfully scheduling a primary care appointment and a 3.3-fold lower likelihood in successfully scheduling a specialty appointment when compared with private insurance. In this first meta-analysis comparing appointment availability between Medicaid and privately insured patients, we demonstrate Medicaid patients have greater difficulty obtaining appointments compared with privately insured patients across a variety of medical scenarios. SAGE Publications 2019-04-05 /pmc/articles/PMC6452575/ /pubmed/30947608 http://dx.doi.org/10.1177/0046958019838118 Text en © The Author(s) 2019 http://www.creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (http://www.creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Research
Hsiang, Walter R.
Lukasiewicz, Adam
Gentry, Mark
Kim, Chang-Yeon
Leslie, Michael P.
Pelker, Richard
Forman, Howard P.
Wiznia, Daniel H.
Medicaid Patients Have Greater Difficulty Scheduling Health Care Appointments Compared With Private Insurance Patients: A Meta-Analysis
title Medicaid Patients Have Greater Difficulty Scheduling Health Care Appointments Compared With Private Insurance Patients: A Meta-Analysis
title_full Medicaid Patients Have Greater Difficulty Scheduling Health Care Appointments Compared With Private Insurance Patients: A Meta-Analysis
title_fullStr Medicaid Patients Have Greater Difficulty Scheduling Health Care Appointments Compared With Private Insurance Patients: A Meta-Analysis
title_full_unstemmed Medicaid Patients Have Greater Difficulty Scheduling Health Care Appointments Compared With Private Insurance Patients: A Meta-Analysis
title_short Medicaid Patients Have Greater Difficulty Scheduling Health Care Appointments Compared With Private Insurance Patients: A Meta-Analysis
title_sort medicaid patients have greater difficulty scheduling health care appointments compared with private insurance patients: a meta-analysis
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6452575/
https://www.ncbi.nlm.nih.gov/pubmed/30947608
http://dx.doi.org/10.1177/0046958019838118
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