Dataset Information

A 3-year study of high-cost users of health care.

ABSTRACT:

Background

Characterizing high-cost users of health care resources is essential for the development of appropriate interventions to improve the management of these patients. We sought to determine the concentration of health care spending, characterize demographic characteristics and clinical diagnoses of high-cost users and examine the consistency of their health care consumption over time.

Methods

We conducted a retrospective analysis of all residents of Ontario, Canada, who were eligible for publicly funded health care between 2009 and 2011. We estimated the total attributable government health care spending for every individual in all health care sectors.

Results

More than $30 billion in annual health expenditures, representing 75% of total government health care spending, was attributed to individual costs. One-third of high-cost users (individuals with the highest 5% of costs) in 2009 remained in this category in the subsequent 2 years. Most spending among high-cost users was for institutional care, in contrast to lower-cost users, among whom spending was predominantly for ambulatory care services. Costs were far more concentrated among children than among older adults. The most common reasons for hospital admissions among high-cost users were chronic diseases, infections, acute events and palliative care.

Interpretation

Although high health care costs were concentrated in a small minority of the population, these related to a diverse set of patient health care needs and were incurred in a wide array of health care settings. Improving the sustainability of the health care system through better management of high-cost users will require different tactics for different high-cost populations.

SUBMITTER: Wodchis WP

PROVIDER: S-EPMC4754179 | biostudies-literature | 2016 Feb

REPOSITORIES: biostudies-literature

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Publications

A 3-year study of high-cost users of health care.

Wodchis Walter P WP Austin Peter C PC Henry David A DA

CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne 20160111 3

<h4>Background</h4>Characterizing high-cost users of health care resources is essential for the development of appropriate interventions to improve the management of these patients. We sought to determine the concentration of health care spending, characterize demographic characteristics and clinical diagnoses of high-cost users and examine the consistency of their health care consumption over time.<h4>Methods</h4>We conducted a retrospective analysis of all residents of Ontario, Canada, who wer ...[more]

PMID: 26755672

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Project description:BackgroundMost health care spending is concentrated within a small group of high-cost health care users. To inform health policies, we examined the characteristics of index hospital admissions and their predictors among incident older high-cost users compared to older non-high-cost users in Ontario.MethodsUsing Ontario administrative data, we identified incident high-cost users aged 66 years or more and matched them 1:3 on age, gender and Local Health Integration Network with non-high-cost users aged 66 years or more. We defined high-cost users as patients within the top 5% most costly high-cost users during fiscal year 2013/14 but not during 2012/13. An index hospital admission, the main outcome, was defined as the first unplanned hospital admission during 2013/14, with no hospital admissions in the preceding 12 months. Descriptively, we analyzed the attributes of index hospital admissions, including costs. We identified predictors of index hospital admissions using stratified logistic regression.ResultsOver half (95 375/175 847 [54.2%]) of all high-cost users had an unplanned index hospital admission, compared to 8838/527 541 (1.7%) of non-high-cost users. High-cost users had a poorer health status, longer acute length of stay (mean 7.5 d v. 2.9 d) and more frequent designation as alternate level of care before discharge (20.8% v. 1.7%) than did non-high-cost users. Ten diagnosis codes accounted for roughly one-third of the index hospital admission costs in both cohorts. Although many predictors were similar between the cohorts, a lower risk of an index hospital admission was associated with residence in long-term care, attachment to a primary care provider and recent consultation by a geriatrician among high-cost users.InterpretationThe high prevalence of index hospital admissions and the corresponding costs are a distinctive feature of incident older high-cost users. Improved access to specialist outpatient care, home-based social care and long-term care when required are worth further investigation.

Project description:ObjectiveTo develop person-centered episodes of care (PCE) for community-dwelling individuals in the top fifth percentile of Ontario health care expenditures in order to: (1) describe the main clinical groupings for spending; and (2) identify patterns of spending by health sector (e.g. acute care, home care, physician billings) within and across PCE.Data sourcesData were drawn from population-based administrative databases for all publicly funded health care in Ontario, Canada in 2010/11.Study designThis study is a retrospective cohort study.Data collection/extraction methodsA total of 587,982 community-dwelling individuals were identified among those accounting for the top 5% of provincial health care expenditures between April 1, 2010 and March 31, 2011. PCE were defined as starting with an acute care admission and persisting through subsequent care settings and providers until individuals were without health system contact for 30 days. PCE were classified according to the clinical grouping for the initial admission. PCE and non-PCE costs were calculated and compared to provide a comprehensive measurement of total health system costs for the year.Principal findingsAmong this community cohort, 697,059 PCE accounted for nearly 70% ($11,815.3 million (CAD)) of total annual publicly-funded expenditures on high-cost community-dwelling individuals. The most common clinical groupings to start a PCE were Acute Planned Surgical (35.2%), Acute Unplanned Medical (21.0%) and Post-Admission Events (10.8%). Median PCE costs ranged from $3,865 (IQR = $1,712-$10,919) for Acute Planned Surgical to $20,687 ($12,207-$39,579) for Post-Admission Events. Inpatient acute ($8,194.5 million) and inpatient rehabilitation ($434.6 million) health sectors accounted for the largest proportions of allocated PCE spending over the year.ConclusionsOur study provides a novel methodological approach to categorize high-cost health system users into meaningful person-centered episodes. This approach helps to explain how costs are attributable within individuals across sectors and has applications in episode-based payment formulas and quality monitoring.

Project description:ObjectiveThe Community Care programme is an initiative aimed at reducing hospitalisations and emergency department (ED) presentations among patients with complex needs. We aimed to describe the characteristics of the programme participants and identify factors associated with enrolment into the programme.DesignThis observational cohort study was conducted using routinely collected data from the National Centre for Healthy Ageing data platform.SettingThe study was carried out at Peninsula Health, a health service provider serving a population in Melbourne, Victoria, Australia.ParticipantsWe included all adults with unplanned ED presentation or hospital admission to Peninsula Health between 1 November 2016 and 31 October 2017, the programme's first operational year.Outcome measuresCommunity Care programme enrolment was the primary outcome. Participants' demographics, health factors and enrolment influences were analysed using a staged multivariable logistic regression.ResultsWe included 47 148 adults, of these, 914 were enrolled in the Community Care programme. Participants were older (median 66 vs 51 years), less likely to have a partner (34% vs 57%) and had more frequent hospitalisations and ED visits. In the multivariable analysis, factors most strongly associated with enrolment included not having a partner (adjusted OR (aOR) 1.83, 95% CI 1.57 to 2.12), increasing age (aOR 1.01, 95% CI 1.01 to 1.02), frequent hospitalisations (aOR 7.32, 95% CI 5.78 to 9.24), frequent ED visits (aOR 2.0, 95% CI 1.37 to 2.85) and having chronic diseases, such as chronic pulmonary disease (aOR 2.48, 95% CI 2.06 to 2.98), obesity (aOR 2.06, 95% CI 1.39 to 2.99) and diabetes mellitus (complicated) (aOR 1.75, 95% CI 1.44 to 2.13). Residing in aged care home and having high socioeconomic status) independently associated with reduced odds of enrolment.ConclusionsThe Community Care programme targets patients with high-readmission risks under-representation of individuals residing in residential aged care homes warrants further investigation. This study aids service planning and offers valuable feedback to clinicians about programme beneficiaries.

Dataset Information

A 3-year study of high-cost users of health care.

Background

Methods

Results

Interpretation

Publications

A 3-year study of high-cost users of health care.

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