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Effect of health system on the association of rurality and level of disadvantage with receipt of diabetic eye screening
INTRODUCTION: Rural versus urban disparities have been observed in diabetic eye screening, but whether the level of disadvantage in rural versus urban areas is related to these disparities is unclear. Our goal was to determine the role of level of disadvantage in explaining the effect of health syst...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9756146/ https://www.ncbi.nlm.nih.gov/pubmed/36517109 http://dx.doi.org/10.1136/bmjdrc-2022-003174 |
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author | Lock, Loren J Channa, Roomasa Brennan, Meghan B Cao, Ying Liu, Yao |
author_facet | Lock, Loren J Channa, Roomasa Brennan, Meghan B Cao, Ying Liu, Yao |
author_sort | Lock, Loren J |
collection | PubMed |
description | INTRODUCTION: Rural versus urban disparities have been observed in diabetic eye screening, but whether the level of disadvantage in rural versus urban areas is related to these disparities is unclear. Our goal was to determine the role of level of disadvantage in explaining the effect of health systems on rural and urban disparities in diabetic eye screening. RESEARCH DESIGN AND METHODS: This is a retrospective cohort study using an all-payer, state-wide claims database covering over 75% of Wisconsin residents. We included adults with diabetes (18–75 years old) who had claims billed throughout the baseline (2012–2013) and measurement (2013–2014) years. We performed multivariable regressions to assess factors associated with receipt of diabetic eye screening. The primary exposure was the primary care clinic’s combined level of rurality and disadvantage. We adjusted for the health system as well as patient-level variables related to demographics and comorbidities. Health system was defined as an associated group of physicians and/or clinics. RESULTS: A total of 118 707 adults with diabetes from 698 primary care clinics in 143 health systems met the inclusion criteria. Patients from urban underserved clinics were less likely to receive screening than those from rural underserved clinics before adjusting for health system in the model. After adjusting for health system fixed effects, however, the directionality of the relationship between clinic rurality and screening reversed: patients from urban underserved clinics were more likely to receive screening than those from rural underserved clinics. Similar findings were observed for both Medicare and non-Medicare subgroups. CONCLUSIONS: The effect of health system on receipt of diabetic eye screening in rural versus urban areas is most pronounced in underserved areas. Health systems, particularly those providing care to urban underserved populations, have an opportunity to increase screening rates by leveraging health system-level interventions to support patients in overcoming barriers from social determinants of health. |
format | Online Article Text |
id | pubmed-9756146 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-97561462022-12-17 Effect of health system on the association of rurality and level of disadvantage with receipt of diabetic eye screening Lock, Loren J Channa, Roomasa Brennan, Meghan B Cao, Ying Liu, Yao BMJ Open Diabetes Res Care Epidemiology/Health services research INTRODUCTION: Rural versus urban disparities have been observed in diabetic eye screening, but whether the level of disadvantage in rural versus urban areas is related to these disparities is unclear. Our goal was to determine the role of level of disadvantage in explaining the effect of health systems on rural and urban disparities in diabetic eye screening. RESEARCH DESIGN AND METHODS: This is a retrospective cohort study using an all-payer, state-wide claims database covering over 75% of Wisconsin residents. We included adults with diabetes (18–75 years old) who had claims billed throughout the baseline (2012–2013) and measurement (2013–2014) years. We performed multivariable regressions to assess factors associated with receipt of diabetic eye screening. The primary exposure was the primary care clinic’s combined level of rurality and disadvantage. We adjusted for the health system as well as patient-level variables related to demographics and comorbidities. Health system was defined as an associated group of physicians and/or clinics. RESULTS: A total of 118 707 adults with diabetes from 698 primary care clinics in 143 health systems met the inclusion criteria. Patients from urban underserved clinics were less likely to receive screening than those from rural underserved clinics before adjusting for health system in the model. After adjusting for health system fixed effects, however, the directionality of the relationship between clinic rurality and screening reversed: patients from urban underserved clinics were more likely to receive screening than those from rural underserved clinics. Similar findings were observed for both Medicare and non-Medicare subgroups. CONCLUSIONS: The effect of health system on receipt of diabetic eye screening in rural versus urban areas is most pronounced in underserved areas. Health systems, particularly those providing care to urban underserved populations, have an opportunity to increase screening rates by leveraging health system-level interventions to support patients in overcoming barriers from social determinants of health. BMJ Publishing Group 2022-12-14 /pmc/articles/PMC9756146/ /pubmed/36517109 http://dx.doi.org/10.1136/bmjdrc-2022-003174 Text en © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Epidemiology/Health services research Lock, Loren J Channa, Roomasa Brennan, Meghan B Cao, Ying Liu, Yao Effect of health system on the association of rurality and level of disadvantage with receipt of diabetic eye screening |
title | Effect of health system on the association of rurality and level of disadvantage with receipt of diabetic eye screening |
title_full | Effect of health system on the association of rurality and level of disadvantage with receipt of diabetic eye screening |
title_fullStr | Effect of health system on the association of rurality and level of disadvantage with receipt of diabetic eye screening |
title_full_unstemmed | Effect of health system on the association of rurality and level of disadvantage with receipt of diabetic eye screening |
title_short | Effect of health system on the association of rurality and level of disadvantage with receipt of diabetic eye screening |
title_sort | effect of health system on the association of rurality and level of disadvantage with receipt of diabetic eye screening |
topic | Epidemiology/Health services research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9756146/ https://www.ncbi.nlm.nih.gov/pubmed/36517109 http://dx.doi.org/10.1136/bmjdrc-2022-003174 |
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