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Differences in ambulatory care fragmentation by race

BACKGROUND: More fragmented ambulatory care (i.e., care spread across many providers without a dominant provider) has been associated with more subsequent healthcare utilization (such as more tests, procedures, emergency department visits, and hospitalizations) than less fragmented ambulatory care....

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Autores principales: Kern, Lisa M., Rajan, Mangala, Colantonio, Lisandro D., Reshetnyak, Evgeniya, Ringel, Joanna Bryan, Muntner, Paul M., Casalino, Lawrence P., Pinheiro, Laura C., Safford, Monika M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7890852/
https://www.ncbi.nlm.nih.gov/pubmed/33596897
http://dx.doi.org/10.1186/s12913-021-06133-9
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author Kern, Lisa M.
Rajan, Mangala
Colantonio, Lisandro D.
Reshetnyak, Evgeniya
Ringel, Joanna Bryan
Muntner, Paul M.
Casalino, Lawrence P.
Pinheiro, Laura C.
Safford, Monika M.
author_facet Kern, Lisa M.
Rajan, Mangala
Colantonio, Lisandro D.
Reshetnyak, Evgeniya
Ringel, Joanna Bryan
Muntner, Paul M.
Casalino, Lawrence P.
Pinheiro, Laura C.
Safford, Monika M.
author_sort Kern, Lisa M.
collection PubMed
description BACKGROUND: More fragmented ambulatory care (i.e., care spread across many providers without a dominant provider) has been associated with more subsequent healthcare utilization (such as more tests, procedures, emergency department visits, and hospitalizations) than less fragmented ambulatory care. It is not known if race and socioeconomic status are associated with fragmented ambulatory care. METHODS: We conducted a longitudinal analysis of data from the REasons for Geographic and Racial Differences in Stroke (REGARDS) study, using the REGARDS baseline visit plus the first year of follow-up. We included participants ≥65 years old, who had linked fee-for-service Medicare claims, and ≥ 4 ambulatory visits in the first year of follow-up. We used Tobit regression to determine the associations between race, annual household income, and educational attainment at baseline and fragmentation score in the subsequent year (as measured with the reversed Bice-Boxerman Index). Covariates included other demographic characteristics, medical conditions, medication use, health behaviors, and psychosocial variables. Additional analyses categorized visits by the type of provider (primary care vs. specialist). RESULTS: The study participants (N = 6799) had an average age of 73.0 years, 53% were female, and 30% were black. Nearly half had low annual household income (<$35,000) and 41% had a high school education or less. Overall, participants had a median of 10 ambulatory visits to 4 providers in the 12 months following their baseline study visit. Participants in the highest quintile of fragmentation scores had a median of 11 visits to 7 providers. Black race was associated with an absolute adjusted 3% lower fragmentation score compared to white race (95% confidence interval (2% lower to 4% lower; p < 0.001). This difference was explained by blacks seeing fewer specialists than whites. Income and education were not independent predictors of fragmentation scores. CONCLUSIONS: Among Medicare beneficiaries, blacks had less fragmented ambulatory care than whites, due to lower utilization of specialty care. Future research is needed to determine the effect of fragmented care on health outcomes for blacks and whites. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-021-06133-9.
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spelling pubmed-78908522021-02-22 Differences in ambulatory care fragmentation by race Kern, Lisa M. Rajan, Mangala Colantonio, Lisandro D. Reshetnyak, Evgeniya Ringel, Joanna Bryan Muntner, Paul M. Casalino, Lawrence P. Pinheiro, Laura C. Safford, Monika M. BMC Health Serv Res Research Article BACKGROUND: More fragmented ambulatory care (i.e., care spread across many providers without a dominant provider) has been associated with more subsequent healthcare utilization (such as more tests, procedures, emergency department visits, and hospitalizations) than less fragmented ambulatory care. It is not known if race and socioeconomic status are associated with fragmented ambulatory care. METHODS: We conducted a longitudinal analysis of data from the REasons for Geographic and Racial Differences in Stroke (REGARDS) study, using the REGARDS baseline visit plus the first year of follow-up. We included participants ≥65 years old, who had linked fee-for-service Medicare claims, and ≥ 4 ambulatory visits in the first year of follow-up. We used Tobit regression to determine the associations between race, annual household income, and educational attainment at baseline and fragmentation score in the subsequent year (as measured with the reversed Bice-Boxerman Index). Covariates included other demographic characteristics, medical conditions, medication use, health behaviors, and psychosocial variables. Additional analyses categorized visits by the type of provider (primary care vs. specialist). RESULTS: The study participants (N = 6799) had an average age of 73.0 years, 53% were female, and 30% were black. Nearly half had low annual household income (<$35,000) and 41% had a high school education or less. Overall, participants had a median of 10 ambulatory visits to 4 providers in the 12 months following their baseline study visit. Participants in the highest quintile of fragmentation scores had a median of 11 visits to 7 providers. Black race was associated with an absolute adjusted 3% lower fragmentation score compared to white race (95% confidence interval (2% lower to 4% lower; p < 0.001). This difference was explained by blacks seeing fewer specialists than whites. Income and education were not independent predictors of fragmentation scores. CONCLUSIONS: Among Medicare beneficiaries, blacks had less fragmented ambulatory care than whites, due to lower utilization of specialty care. Future research is needed to determine the effect of fragmented care on health outcomes for blacks and whites. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-021-06133-9. BioMed Central 2021-02-17 /pmc/articles/PMC7890852/ /pubmed/33596897 http://dx.doi.org/10.1186/s12913-021-06133-9 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
Kern, Lisa M.
Rajan, Mangala
Colantonio, Lisandro D.
Reshetnyak, Evgeniya
Ringel, Joanna Bryan
Muntner, Paul M.
Casalino, Lawrence P.
Pinheiro, Laura C.
Safford, Monika M.
Differences in ambulatory care fragmentation by race
title Differences in ambulatory care fragmentation by race
title_full Differences in ambulatory care fragmentation by race
title_fullStr Differences in ambulatory care fragmentation by race
title_full_unstemmed Differences in ambulatory care fragmentation by race
title_short Differences in ambulatory care fragmentation by race
title_sort differences in ambulatory care fragmentation by race
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7890852/
https://www.ncbi.nlm.nih.gov/pubmed/33596897
http://dx.doi.org/10.1186/s12913-021-06133-9
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