Identifying factors associated with high use of acute care in Canada: protocol of a population-based retrospective cohort study

Introduction High-cost users (HCUs) account for a small proportion of the population but use a disproportionately large share of healthcare resources. Although HCUs exist in all healthcare types, acute care is the most expensive type of service and the most significant contributor to expenditures am...

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Main Authors: Mengmeng Zhang, Jinhui Ma
Format: Article
Language:English
Published: BMJ Publishing Group 2020-10-01
Series:BMJ Open
Online Access:https://bmjopen.bmj.com/content/10/10/e038008.full
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spelling doaj-bcb3c800bc1d4c97b1aacf4f64fb7ef82021-05-06T09:33:53ZengBMJ Publishing GroupBMJ Open2044-60552020-10-01101010.1136/bmjopen-2020-038008Identifying factors associated with high use of acute care in Canada: protocol of a population-based retrospective cohort studyMengmeng Zhang0Jinhui Ma1Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, CanadaDepartment of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, CanadaIntroduction High-cost users (HCUs) account for a small proportion of the population but use a disproportionately large share of healthcare resources. Although HCUs exist in all healthcare types, acute care is the most expensive type of service and the most significant contributor to expenditures among HCUs. This study aims to determine demographic, socioeconomic and clinical factors associated with being HCUs in adult patients (≥18 years) receiving acute care in Canada.Methods and analysis This is a population-based analysis using a national linked dataset. Adult patients who had at least one interaction with acute care facilities each year from 2011 to 2014 were captured in the dataset, and those living in institutions or other collective residences were not covered. The primary outcome is HCU of acute care (yes/no), which is defined as whether a patient is within the top 10% of the highest acute care cost users in his/her province. Multilevel logistic regression will be used to identify factors associated with HCU and to examine the provincial variations of these identified risk factors. Sensitivity analyses investigating the influences of different high user definitions and missing data on the study results will also be performed.Ethics and dissemination All researchers will follow the codes and rules set by Statistics Canada and the Research Data Centre and give priority to the confidentiality of the data during and after this study. The study findings will be published in peer-review journals and disseminated at academic conferences.https://bmjopen.bmj.com/content/10/10/e038008.full
collection DOAJ
language English
format Article
sources DOAJ
author Mengmeng Zhang
Jinhui Ma
spellingShingle Mengmeng Zhang
Jinhui Ma
Identifying factors associated with high use of acute care in Canada: protocol of a population-based retrospective cohort study
BMJ Open
author_facet Mengmeng Zhang
Jinhui Ma
author_sort Mengmeng Zhang
title Identifying factors associated with high use of acute care in Canada: protocol of a population-based retrospective cohort study
title_short Identifying factors associated with high use of acute care in Canada: protocol of a population-based retrospective cohort study
title_full Identifying factors associated with high use of acute care in Canada: protocol of a population-based retrospective cohort study
title_fullStr Identifying factors associated with high use of acute care in Canada: protocol of a population-based retrospective cohort study
title_full_unstemmed Identifying factors associated with high use of acute care in Canada: protocol of a population-based retrospective cohort study
title_sort identifying factors associated with high use of acute care in canada: protocol of a population-based retrospective cohort study
publisher BMJ Publishing Group
series BMJ Open
issn 2044-6055
publishDate 2020-10-01
description Introduction High-cost users (HCUs) account for a small proportion of the population but use a disproportionately large share of healthcare resources. Although HCUs exist in all healthcare types, acute care is the most expensive type of service and the most significant contributor to expenditures among HCUs. This study aims to determine demographic, socioeconomic and clinical factors associated with being HCUs in adult patients (≥18 years) receiving acute care in Canada.Methods and analysis This is a population-based analysis using a national linked dataset. Adult patients who had at least one interaction with acute care facilities each year from 2011 to 2014 were captured in the dataset, and those living in institutions or other collective residences were not covered. The primary outcome is HCU of acute care (yes/no), which is defined as whether a patient is within the top 10% of the highest acute care cost users in his/her province. Multilevel logistic regression will be used to identify factors associated with HCU and to examine the provincial variations of these identified risk factors. Sensitivity analyses investigating the influences of different high user definitions and missing data on the study results will also be performed.Ethics and dissemination All researchers will follow the codes and rules set by Statistics Canada and the Research Data Centre and give priority to the confidentiality of the data during and after this study. The study findings will be published in peer-review journals and disseminated at academic conferences.
url https://bmjopen.bmj.com/content/10/10/e038008.full
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