Literature DB >> 25880861

Identifying high users of healthcare in British Columbia, Alberta and Manitoba.

Tom Briggs1, Martha Burd2, Randy Fransoo3.   

Abstract

This paper describes efforts to identify high users of healthcare in British Columbia, Alberta and Manitoba. British Columbia's Ministry of Health adopted a population segmentation approach that segments the province's population into 14 matrix populations. The approach has been used to inform strategic planning, especially for populations with frailty or chronic conditions. Alberta has pursued a similar but different population segmentation approach. A model capable of allocating healthcare costs to the individual level revealed that 5% of the population consumed approximately 66% of the allocated costs. Additional analysis of this 5% produced seven population profiles that have been used in planning. Manitoba's approach has focused on hospital inpatients and users of emergency departments (EDs). High users of hospitals were defined as the top 5% of users of days of inpatient care. Despite representing only 0.33% of the Manitoba population, this group received 45% of all days of hospital care. Using a threshold of seven or more ED visits annually, 2.2% of all ED patients were defined as frequent users, representing 13.5% of all visits. The paper demonstrates that common themes emerge from the approaches taken in each jurisdiction.

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Year:  2014        PMID: 25880861     DOI: 10.12927/hcpap.2015.24106

Source DB:  PubMed          Journal:  Healthc Pap        ISSN: 1488-917X


  4 in total

1.  Change in health care use after coordinated care planning: a quasi-experimental study.

Authors:  Iwona A Bielska; Kelly Cimek; Dale Guenter; Kelly O'Halloran; Chloe Nyitray; Linda Hunter; Walter P Wodchis
Journal:  CMAJ Open       Date:  2018-05-31

2.  Use of the Population Grouping Methodology of the Canadian Institute for Health Information to predict high-cost health system users in Ontario.

Authors:  Sharada Weir; Mitch Steffler; Yin Li; Shaun Shaikh; James G Wright; Jasmin Kantarevic
Journal:  CMAJ       Date:  2020-08-10       Impact factor: 8.262

3.  Can high-cost spending in the community signal admission to hospital? A dynamic modeling study for urgent and elective cardiovascular patients.

Authors:  Deborah Cohen; Walter P Wodchis; Andrew Calzavara
Journal:  BMC Health Serv Res       Date:  2018-11-15       Impact factor: 2.655

4.  An observational pilot study: Prevalence and cost of high frequency emergency department users at Örebro University Hospital, Sweden.

Authors:  Ivy Cheng; Jonas Andersson; Christer Lundqvist; Lisa Kurland
Journal:  PLoS One       Date:  2022-09-15       Impact factor: 3.752

  4 in total

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