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Access to after-hours primary care: a key determinant of children’s medical home status

BACKGROUND: The medical home (MH) model has been promoted by both the federal and state governments in the United States in recent years. To ascertain American children’s MH status, many studies have relied on a large set of survey items, posing a considerable burden on their parents. We aimed to id...

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Autores principales: Han, Bing, Chen, Peggy Guey-Chi, Yu, Hao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7913420/
https://www.ncbi.nlm.nih.gov/pubmed/33639929
http://dx.doi.org/10.1186/s12913-021-06192-y
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author Han, Bing
Chen, Peggy Guey-Chi
Yu, Hao
author_facet Han, Bing
Chen, Peggy Guey-Chi
Yu, Hao
author_sort Han, Bing
collection PubMed
description BACKGROUND: The medical home (MH) model has been promoted by both the federal and state governments in the United States in recent years. To ascertain American children’s MH status, many studies have relied on a large set of survey items, posing a considerable burden on their parents. We aimed to identify individual survey items or domains that best predict MH status for children and use them to develop brief markers of MH status. We also examined whether the identified items differed by status of special health care needs and by racial/ethnic group. METHOD: Using the 9-year data from Medical Expenditure Panel Survey, we examined associations between children’s MH status and individual survey items or domains. We randomly split the data into two halves with the first half (training sample, n = 8611) used to identify promising items, and the second half (validation sample, n = 8779) used to calculate all statistical measures. After discovering significant predictors of children’s MH status, we incorporated them into several brief markers of MH status. We also conducted stratified analyses by status of special health care needs and by racial/ethnic group. RESULTS: Less than half (48.7%) of the 8779 study children had a MH. The accessibility domain has stronger association with children’s MH status (specificity = 0.84, sensitivity = 1, Kappa = 0.83) than other domains. The top two items with the strongest association with MH status asked about after-hours primary care access, including doctors’ office hours at night or on the weekend and children’s difficulty accessing care after hours. Both belong to the accessibility domain and are one of several reliable markers for children’s MH status. While each of the two items did not differ significantly by status of special health care needs, there were considerable disparities across racial/ethnic groups with Latino children lagging behind other children. CONCLUSION: Accessibility, especially the ability to access health care after regular office hours, appears to be the major predictor of having a MH among children. The ongoing efforts to promote the MH model need to target improving accessibility of health care after regular hours for children overall and especially for Latino children.
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spelling pubmed-79134202021-03-02 Access to after-hours primary care: a key determinant of children’s medical home status Han, Bing Chen, Peggy Guey-Chi Yu, Hao BMC Health Serv Res Research Article BACKGROUND: The medical home (MH) model has been promoted by both the federal and state governments in the United States in recent years. To ascertain American children’s MH status, many studies have relied on a large set of survey items, posing a considerable burden on their parents. We aimed to identify individual survey items or domains that best predict MH status for children and use them to develop brief markers of MH status. We also examined whether the identified items differed by status of special health care needs and by racial/ethnic group. METHOD: Using the 9-year data from Medical Expenditure Panel Survey, we examined associations between children’s MH status and individual survey items or domains. We randomly split the data into two halves with the first half (training sample, n = 8611) used to identify promising items, and the second half (validation sample, n = 8779) used to calculate all statistical measures. After discovering significant predictors of children’s MH status, we incorporated them into several brief markers of MH status. We also conducted stratified analyses by status of special health care needs and by racial/ethnic group. RESULTS: Less than half (48.7%) of the 8779 study children had a MH. The accessibility domain has stronger association with children’s MH status (specificity = 0.84, sensitivity = 1, Kappa = 0.83) than other domains. The top two items with the strongest association with MH status asked about after-hours primary care access, including doctors’ office hours at night or on the weekend and children’s difficulty accessing care after hours. Both belong to the accessibility domain and are one of several reliable markers for children’s MH status. While each of the two items did not differ significantly by status of special health care needs, there were considerable disparities across racial/ethnic groups with Latino children lagging behind other children. CONCLUSION: Accessibility, especially the ability to access health care after regular office hours, appears to be the major predictor of having a MH among children. The ongoing efforts to promote the MH model need to target improving accessibility of health care after regular hours for children overall and especially for Latino children. BioMed Central 2021-02-27 /pmc/articles/PMC7913420/ /pubmed/33639929 http://dx.doi.org/10.1186/s12913-021-06192-y Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Han, Bing
Chen, Peggy Guey-Chi
Yu, Hao
Access to after-hours primary care: a key determinant of children’s medical home status
title Access to after-hours primary care: a key determinant of children’s medical home status
title_full Access to after-hours primary care: a key determinant of children’s medical home status
title_fullStr Access to after-hours primary care: a key determinant of children’s medical home status
title_full_unstemmed Access to after-hours primary care: a key determinant of children’s medical home status
title_short Access to after-hours primary care: a key determinant of children’s medical home status
title_sort access to after-hours primary care: a key determinant of children’s medical home status
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7913420/
https://www.ncbi.nlm.nih.gov/pubmed/33639929
http://dx.doi.org/10.1186/s12913-021-06192-y
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