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Health Service Utilization Patterns Among Adults With Congenital Heart Disease: A Population‐Based Study

BACKGROUND: Several studies have examined hospitalizations among patients with adult congenital heart disease (ACHD). Few investigated other services or utilization patterns. Our aim was to study service utilization patterns and predictors among patients with ACHD. METHODS AND RESULTS: We identified...

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Autores principales: Benderly, Michal, Buber, Jonathan, Kalter‐Leibovici, Ofra, Blieden, Leonard, Dadashev, Alexander, Lorber, Avraham, Nir, Amiram, Yalonetsky, Sergei, Chodick, Gabriel, Weitzman, Dahlia, Balicer, Ran, Mazor Dray, Efrat, Murad, Havi, Razon, Yaron, Hirsch, Rafael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7955316/
https://www.ncbi.nlm.nih.gov/pubmed/33432841
http://dx.doi.org/10.1161/JAHA.120.018037
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author Benderly, Michal
Buber, Jonathan
Kalter‐Leibovici, Ofra
Blieden, Leonard
Dadashev, Alexander
Lorber, Avraham
Nir, Amiram
Yalonetsky, Sergei
Chodick, Gabriel
Weitzman, Dahlia
Balicer, Ran
Mazor Dray, Efrat
Murad, Havi
Razon, Yaron
Hirsch, Rafael
author_facet Benderly, Michal
Buber, Jonathan
Kalter‐Leibovici, Ofra
Blieden, Leonard
Dadashev, Alexander
Lorber, Avraham
Nir, Amiram
Yalonetsky, Sergei
Chodick, Gabriel
Weitzman, Dahlia
Balicer, Ran
Mazor Dray, Efrat
Murad, Havi
Razon, Yaron
Hirsch, Rafael
author_sort Benderly, Michal
collection PubMed
description BACKGROUND: Several studies have examined hospitalizations among patients with adult congenital heart disease (ACHD). Few investigated other services or utilization patterns. Our aim was to study service utilization patterns and predictors among patients with ACHD. METHODS AND RESULTS: We identified 11 653 patients with ACHD aged ≥18 years (median, 47 years), through electronic records of 2 large Israeli healthcare providers (2007–2011). The association between patient, disease, and sociogeographic characteristics and healthcare resource utilization were modeled as recurrent events accounting for the competing death risk. Patients with ACHD had high healthcare utilization rates compared with the general population. The highest standardized service utilization ratios (SSRs) were found among patients with complex congenital heart disease including primary care visits (SSR, 1.53; 95% CI, 1.47–1.58), cardiology outpatient visits (SSR, 5.17; 95% CI, 4.69–5.64), hospitalizations (SSR, 6.68; 95% CI, 5.82–7.54), and days in hospital (SSR, 15.37; 95% CI, 14.61–16.12). Adjusted resource utilization hazard increased with increasing lesion complexity. Hazard ratios (HRs) for complex versus simple disease were: primary care (HR, 1.14; 95% CI, 1.06–1.23); cardiology outpatient visits (HR, 1.40; 95% CI, 1.24–1.59); emergency department visits (HR, 1.19; 95% CI, 1.02–1.39); and hospitalizations (HR, 1.75; 95% CI, 1.49–2.05). Effects attenuated with age for cardiology outpatient visits and hospitalizations and increased for emergency department visits. Female sex, geographic periphery, and ethnic minority were associated with more primary care visits, and female sex (HR versus men, 0.89 [95% CI, 0.84–0.94]) and periphery (HR, 0.72 [95% CI, 0.58–0.90] for very peripheral versus very central) were associated with fewer cardiology visits. Arab minority patients also had high hospitalization rates compared with the majority group of Jewish or other patients. CONCLUSIONS: Healthcare utilization rates were high among patients with ACHD. Female sex, geographic periphery, and ethnicity were associated with less optimal service utilization patterns. Further research should examine strategies to optimize service utilization in these groups.
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spelling pubmed-79553162021-03-17 Health Service Utilization Patterns Among Adults With Congenital Heart Disease: A Population‐Based Study Benderly, Michal Buber, Jonathan Kalter‐Leibovici, Ofra Blieden, Leonard Dadashev, Alexander Lorber, Avraham Nir, Amiram Yalonetsky, Sergei Chodick, Gabriel Weitzman, Dahlia Balicer, Ran Mazor Dray, Efrat Murad, Havi Razon, Yaron Hirsch, Rafael J Am Heart Assoc Original Research BACKGROUND: Several studies have examined hospitalizations among patients with adult congenital heart disease (ACHD). Few investigated other services or utilization patterns. Our aim was to study service utilization patterns and predictors among patients with ACHD. METHODS AND RESULTS: We identified 11 653 patients with ACHD aged ≥18 years (median, 47 years), through electronic records of 2 large Israeli healthcare providers (2007–2011). The association between patient, disease, and sociogeographic characteristics and healthcare resource utilization were modeled as recurrent events accounting for the competing death risk. Patients with ACHD had high healthcare utilization rates compared with the general population. The highest standardized service utilization ratios (SSRs) were found among patients with complex congenital heart disease including primary care visits (SSR, 1.53; 95% CI, 1.47–1.58), cardiology outpatient visits (SSR, 5.17; 95% CI, 4.69–5.64), hospitalizations (SSR, 6.68; 95% CI, 5.82–7.54), and days in hospital (SSR, 15.37; 95% CI, 14.61–16.12). Adjusted resource utilization hazard increased with increasing lesion complexity. Hazard ratios (HRs) for complex versus simple disease were: primary care (HR, 1.14; 95% CI, 1.06–1.23); cardiology outpatient visits (HR, 1.40; 95% CI, 1.24–1.59); emergency department visits (HR, 1.19; 95% CI, 1.02–1.39); and hospitalizations (HR, 1.75; 95% CI, 1.49–2.05). Effects attenuated with age for cardiology outpatient visits and hospitalizations and increased for emergency department visits. Female sex, geographic periphery, and ethnic minority were associated with more primary care visits, and female sex (HR versus men, 0.89 [95% CI, 0.84–0.94]) and periphery (HR, 0.72 [95% CI, 0.58–0.90] for very peripheral versus very central) were associated with fewer cardiology visits. Arab minority patients also had high hospitalization rates compared with the majority group of Jewish or other patients. CONCLUSIONS: Healthcare utilization rates were high among patients with ACHD. Female sex, geographic periphery, and ethnicity were associated with less optimal service utilization patterns. Further research should examine strategies to optimize service utilization in these groups. John Wiley and Sons Inc. 2021-01-12 /pmc/articles/PMC7955316/ /pubmed/33432841 http://dx.doi.org/10.1161/JAHA.120.018037 Text en © 2021 The Authors. Published on behalf of the American Heart Association, Inc., by Wiley. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Original Research
Benderly, Michal
Buber, Jonathan
Kalter‐Leibovici, Ofra
Blieden, Leonard
Dadashev, Alexander
Lorber, Avraham
Nir, Amiram
Yalonetsky, Sergei
Chodick, Gabriel
Weitzman, Dahlia
Balicer, Ran
Mazor Dray, Efrat
Murad, Havi
Razon, Yaron
Hirsch, Rafael
Health Service Utilization Patterns Among Adults With Congenital Heart Disease: A Population‐Based Study
title Health Service Utilization Patterns Among Adults With Congenital Heart Disease: A Population‐Based Study
title_full Health Service Utilization Patterns Among Adults With Congenital Heart Disease: A Population‐Based Study
title_fullStr Health Service Utilization Patterns Among Adults With Congenital Heart Disease: A Population‐Based Study
title_full_unstemmed Health Service Utilization Patterns Among Adults With Congenital Heart Disease: A Population‐Based Study
title_short Health Service Utilization Patterns Among Adults With Congenital Heart Disease: A Population‐Based Study
title_sort health service utilization patterns among adults with congenital heart disease: a population‐based study
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7955316/
https://www.ncbi.nlm.nih.gov/pubmed/33432841
http://dx.doi.org/10.1161/JAHA.120.018037
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