Evidence map›Paper›PMID 25359294›Full record

ArticleBMC health services research2014

High-cost health care users in Ontario, Canada: demographic, socio-economic, and health status characteristics.

Laura C Rosella, Tiffany Fitzpatrick, Walter P Wodchis, Andrew Calzavara, Heather Manson, Vivek Goel

2 registry-linked trialsOpen access · goldAbstract read
In one paragraph

Article in BMC health services research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 109 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
109citing papers in PubMed, 6 pooled it
49.0field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT02917954 nacompletednot on this mapstarted 2017, after this paper: background citation

Full Evaluation, Scale and Spread: Pragmatic Trial of the HSPRN-Bridgepoint Electronic Patient Reported Outcome (ePRO) Mobile Application to Support the Needs of Persons With Complex Chronic Disease and Disability

TypeinterventionalSponsorMount Sinai Hospital, CanadaRan2017 to 2019Enrolled45ConditionsChronic Disease, Quality of LifeArmsePRO Tool Intervention
NCT03689049 naactive not recruitingnot on this mapstarted 2018, after this paper: background citation

SPIDER: A Structured Process Informed by Data, Evidence and Research - A Research and Quality Improvement Collaboration Supporting Practices in Improving Care for Complex Elderly Patients

TypeinterventionalSponsorUniversity of Toronto Practice Based Research NetworkRan2018 to 2027Enrolled104ConditionsPolypharmacy, Inappropriate Prescribing, Aged, Primary Health CareArmsSPIDER, Usual Care
3 · Its place in the literature

Who cites it

109 citing papers in PubMed, 6 syntheses or guidelines pooled it, 187 citations in OpenAlex.

  1. Pooled it
  2. Healthcare costs after sepsis: a systematic review.Critical care (London, England) · 2025
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  12. Can patient-reported data improve predictions about who will be a high-need, high-cost patient in British Columbia?Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2025
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49 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 4 institutions in 1 country.

Laura C Rosella
Tiffany Fitzpatrick
Walter P Wodchis
Andrew Calzavara
Heather Manson
Vivek Goel
Public Health Ontario · CAInstitute for Clinical Evaluative Sciences · CAInstitute for Work & Health · CAUniversity of Toronto · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHealth care spending is overwhelmingly concentrated within a very small proportion of the population, referred to as the high-cost users (HCU). To date, research on HCU has been limited in scope, focusing mostly on those characteristics available through administrative databases, which have been largely clinical in nature, or have relied on ecological measures of socio-demographics. This study links population health surveys to administrative data, allowing for the investigation of a broad range of individual-level characteristics and provides a more thorough characterization of community-dwelling HCU across demographic, social, behavioral and clinical characteristics.

methodsWe linked three cycles of the Canadian Community Health Survey (CCHS) to medical claim data for the years 2003-2008 for Ontario, Canada. Participants were ranked according to gradients of cost (Top 1%, Top 2-5%, Top 6-50% and Bottom 50%) and multinomial logistic regression was used to investigate a wide range of factors, including health behaviors and socio-demographics, likely associated with HCU status.

resultsUsing a total sample of 91,223 adults (18 and older), we found that HCU status was strongly associated with being older, having multiple chronic conditions, and reporting poorer self-perceived health. Specifically, in the fully-adjusted model, poor self-rated health (vs. good) was associated with a 26-fold increase in odds of becoming a Top 1% HCU (vs. Bottom 50% user) [95% CI: (18.9, 36.9)]. Further, HCU tended to be of lower socio-economic status, former daily smokers, physically inactive, current non-drinkers, and obese.

conclusionsThe results of this study have provided valuable insights into the broader characteristics of community-dwelling HCU, including unique demographic and behavioral characteristics. Additionally, strong associations with self-reported clinical variables, such as self-rated general and mental health, highlight the importance of the patient perspective for HCU. These findings have the potential to inform policies for health care and public health, particularly in light of increasing decision-maker attention in the sustainability of the health care system, improving patient outcomes and, more generally, in order to achieve the common goal of improving population health outcomes.

Indexed as

AdolescentAdultAgedDemographyFemaleHealth Care CostsHealth ServicesHealth Services Needs and DemandHumansMaleMiddle AgedOntario

Identifiers

PMID25359294
PMCPMC4221677
OpenAlexW2123117470

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.