Evidence map›Paper›PMID 33720824›Full record

ArticleHealthcare policy = Politiques de sante2021

Estimating Population Benefits of Prevention Approaches Using a Risk Tool: High Resource Users in Ontario, Canada.

Meghan O'Neill, Kathy Kornas, Walter P Wodchis, Laura C Rosella

Abstract read
In one paragraph

Article in Healthcare policy = Politiques de sante, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Downstream health impacts of employment losses during the COVID-19 pandemic.Canadian journal of public health = Revue canadienne de sante publique · 2022
    Article
  2. Article
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

4 authors.

Meghan O'NeillResearch Officer, Dalla Lana School of Public Health, University of Toronto, Toronto, ON.
Kathy KornasResearch Officer, Dalla Lana School of Public Health, University of Toronto, Toronto, ON.
Walter P WodchisPrincipal Investigator, Dalla Lana School of Public Health, University of Toronto, Institute for Better Health; Professor, Trillium Health Partners, Toronto, ON.
Laura C RosellaAssociate Professor, Dalla Lana School of Public Health, University of Toronto, Institute for Better Health, Trillium Health Partners, Toronto, ON.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHealthcare spending is concentrated, with a minority of the population accounting for the majority of healthcare costs.

methodsThe authors modelled the impact of high resource user (HRU) prevention strategies within five years using the validated High Resource User Population Risk Tool.

resultsThe authors estimated 758,000 new HRUs in Ontario from 2013-2014 to 2018-2019, resulting in $16.20 billion in healthcare costs (Canadian dollars 2016). The prevention approach that had the largest reduction in HRUs was targeting health-risk behaviours.

conclusionsThis study demonstrates the use of a policy tool by decision makers to support prevention approaches that consider the impact on HRUs and estimated healthcare costs.

Indexed as

Delivery of Health CareHealth Care CostsCohort StudiesHumansOntarioRisk Factors

Identifiers

PMID33720824
PMCPMC7957354

What OpenQuestion holds

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Registered trials

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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.