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Gender as risk factor for 30 days post-discharge hospital utilisation: a secondary data analysis

OBJECTIVE: In the 30 days after hospital discharge, hospital utilisation is common and costly. This study evaluated the association between gender and hospital utilisation within 30 days of discharge. DESIGN: Secondary data analysis using Poisson regression stratified by gender. PARTICIPANTS: 737 En...

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Autores principales: Woz, Shaula, Mitchell, Suzanne, Hesko, Caroline, Paasche-Orlow, Michael, Greenwald, Jeffrey, Chetty, V K, O'Donnell, Julie, Jack, Brian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Group 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3332240/
https://www.ncbi.nlm.nih.gov/pubmed/22514241
http://dx.doi.org/10.1136/bmjopen-2011-000428
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author Woz, Shaula
Mitchell, Suzanne
Hesko, Caroline
Paasche-Orlow, Michael
Greenwald, Jeffrey
Chetty, V K
O'Donnell, Julie
Jack, Brian
author_facet Woz, Shaula
Mitchell, Suzanne
Hesko, Caroline
Paasche-Orlow, Michael
Greenwald, Jeffrey
Chetty, V K
O'Donnell, Julie
Jack, Brian
author_sort Woz, Shaula
collection PubMed
description OBJECTIVE: In the 30 days after hospital discharge, hospital utilisation is common and costly. This study evaluated the association between gender and hospital utilisation within 30 days of discharge. DESIGN: Secondary data analysis using Poisson regression stratified by gender. PARTICIPANTS: 737 English-speaking hospitalised adults from general medical service in urban, academic safety-net medical centre who participated in the Project Re-Engineered clinical trial (clinicaltrials.gov identifier: NCT00252057). MAIN OUTCOME MEASURE: The primary end point was hospital utilisation, defined as total emergency department visits and hospital readmissions within 30 days after index discharge. RESULTS: Female subjects had a rate of 29 events for every 100 people and male subjects had a rate of 47 events for every 100 people (incident rate ratio (IRR) 1.62, 95% CI 1.28 to 2.06). Among men, risk factors included hospital utilisation in the 6 months prior to the index hospitalisation (IRR 3.55, 95% CI 2.38 to 5.29), being unmarried (IRR 1.72, 95% CI 1.12 to 2.64), having a positive depression screen (IRR 1.53, 95% CI 1.09 to 2.13) and no primary care physician (PCP) visit within 30 days (IRR 1.64, 95% CI 1.08 to 2.50). Among women, the only risk factor was hospital utilisation in the 6 months prior to the index hospitalisation (IRR 3.08, 95% CI 1.86 to 5.10). CONCLUSIONS: In our data, male subjects had a higher rate of hospital utilisation within 30 days of discharge than female subjects. For men—but not for women—risk factors were being retired, unmarried, having depressive symptoms and having no PCP visit within 30 days. Interventions addressing these factors might lower hospital utilisation rates observed among men.
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spelling pubmed-33322402012-04-23 Gender as risk factor for 30 days post-discharge hospital utilisation: a secondary data analysis Woz, Shaula Mitchell, Suzanne Hesko, Caroline Paasche-Orlow, Michael Greenwald, Jeffrey Chetty, V K O'Donnell, Julie Jack, Brian BMJ Open Health Services Research OBJECTIVE: In the 30 days after hospital discharge, hospital utilisation is common and costly. This study evaluated the association between gender and hospital utilisation within 30 days of discharge. DESIGN: Secondary data analysis using Poisson regression stratified by gender. PARTICIPANTS: 737 English-speaking hospitalised adults from general medical service in urban, academic safety-net medical centre who participated in the Project Re-Engineered clinical trial (clinicaltrials.gov identifier: NCT00252057). MAIN OUTCOME MEASURE: The primary end point was hospital utilisation, defined as total emergency department visits and hospital readmissions within 30 days after index discharge. RESULTS: Female subjects had a rate of 29 events for every 100 people and male subjects had a rate of 47 events for every 100 people (incident rate ratio (IRR) 1.62, 95% CI 1.28 to 2.06). Among men, risk factors included hospital utilisation in the 6 months prior to the index hospitalisation (IRR 3.55, 95% CI 2.38 to 5.29), being unmarried (IRR 1.72, 95% CI 1.12 to 2.64), having a positive depression screen (IRR 1.53, 95% CI 1.09 to 2.13) and no primary care physician (PCP) visit within 30 days (IRR 1.64, 95% CI 1.08 to 2.50). Among women, the only risk factor was hospital utilisation in the 6 months prior to the index hospitalisation (IRR 3.08, 95% CI 1.86 to 5.10). CONCLUSIONS: In our data, male subjects had a higher rate of hospital utilisation within 30 days of discharge than female subjects. For men—but not for women—risk factors were being retired, unmarried, having depressive symptoms and having no PCP visit within 30 days. Interventions addressing these factors might lower hospital utilisation rates observed among men. BMJ Group 2012-04-18 /pmc/articles/PMC3332240/ /pubmed/22514241 http://dx.doi.org/10.1136/bmjopen-2011-000428 Text en © 2012, Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions. This is an open-access article distributed under the terms of the Creative Commons Attribution Non-commercial License, which permits use, distribution, and reproduction in any medium, provided the original work is properly cited, the use is non commercial and is otherwise in compliance with the license. See: http://creativecommons.org/licenses/by-nc/2.0/ and http://creativecommons.org/licenses/by-nc/2.0/legalcode.
spellingShingle Health Services Research
Woz, Shaula
Mitchell, Suzanne
Hesko, Caroline
Paasche-Orlow, Michael
Greenwald, Jeffrey
Chetty, V K
O'Donnell, Julie
Jack, Brian
Gender as risk factor for 30 days post-discharge hospital utilisation: a secondary data analysis
title Gender as risk factor for 30 days post-discharge hospital utilisation: a secondary data analysis
title_full Gender as risk factor for 30 days post-discharge hospital utilisation: a secondary data analysis
title_fullStr Gender as risk factor for 30 days post-discharge hospital utilisation: a secondary data analysis
title_full_unstemmed Gender as risk factor for 30 days post-discharge hospital utilisation: a secondary data analysis
title_short Gender as risk factor for 30 days post-discharge hospital utilisation: a secondary data analysis
title_sort gender as risk factor for 30 days post-discharge hospital utilisation: a secondary data analysis
topic Health Services Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3332240/
https://www.ncbi.nlm.nih.gov/pubmed/22514241
http://dx.doi.org/10.1136/bmjopen-2011-000428
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