Evidence map›Paper›PMID 31451447›Full record

ArticleCMAJ open

Unplanned index hospital admissions among new older high-cost health care users in Ontario: a population-based matched cohort study.

Sergei Muratov, Justin Lee, Anne Holbrook, J Michael Paterson, Jason R Guertin, Lawrence Mbuagbaw, Tara Gomes, Wayne Khuu, Priscila Pequeno, Jean-Eric Tarride

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Article in CMAJ open. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

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3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 15 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors at 1 institution in 2 countries.

Sergei MuratovDepartment of Health Research Methods, Evidence, and Impact (Muratov, Lee, Holbrook, Mbuagbaw, Tarride) and Divisions of Geriatric Medicine (Lee) and Clinical Pharmacology and Toxicology (Holbrook), Department of Medicine, McMaster University, Hamilton, Ont.; ICES (Paterson, Gomes, Khuu, Pequeno), Toronto, Ont.; Département de médecine sociale et préventive (Guertin), Faculté de médecine, and Centre de recherche du Centre hospitalier universitaire de Québec (Guertin), Axe Santé des populations et pratiques optimales en santé, Université Laval, Québec, Que.; Li Ka Shing Knowledge Institute (Gomes), St. Michael's Hospital, Toronto, Ont.; Centre for Health Economics and Policy Analysis (Tarride) and Department of Family Medicine (Paterson), McMaster University, Hamilton, Ont. muratos@mcmaster.ca.
Justin LeeDepartment of Health Research Methods, Evidence, and Impact (Muratov, Lee, Holbrook, Mbuagbaw, Tarride) and Divisions of Geriatric Medicine (Lee) and Clinical Pharmacology and Toxicology (Holbrook), Department of Medicine, McMaster University, Hamilton, Ont.; ICES (Paterson, Gomes, Khuu, Pequeno), Toronto, Ont.; Département de médecine sociale et préventive (Guertin), Faculté de médecine, and Centre de recherche du Centre hospitalier universitaire de Québec (Guertin), Axe Santé des populations et pratiques optimales en santé, Université Laval, Québec, Que.; Li Ka Shing Knowledge Institute (Gomes), St. Michael's Hospital, Toronto, Ont.; Centre for Health Economics and Policy Analysis (Tarride) and Department of Family Medicine (Paterson), McMaster University, Hamilton, Ont.
Anne HolbrookDepartment of Health Research Methods, Evidence, and Impact (Muratov, Lee, Holbrook, Mbuagbaw, Tarride) and Divisions of Geriatric Medicine (Lee) and Clinical Pharmacology and Toxicology (Holbrook), Department of Medicine, McMaster University, Hamilton, Ont.; ICES (Paterson, Gomes, Khuu, Pequeno), Toronto, Ont.; Département de médecine sociale et préventive (Guertin), Faculté de médecine, and Centre de recherche du Centre hospitalier universitaire de Québec (Guertin), Axe Santé des populations et pratiques optimales en santé, Université Laval, Québec, Que.; Li Ka Shing Knowledge Institute (Gomes), St. Michael's Hospital, Toronto, Ont.; Centre for Health Economics and Policy Analysis (Tarride) and Department of Family Medicine (Paterson), McMaster University, Hamilton, Ont.
J Michael PatersonDepartment of Health Research Methods, Evidence, and Impact (Muratov, Lee, Holbrook, Mbuagbaw, Tarride) and Divisions of Geriatric Medicine (Lee) and Clinical Pharmacology and Toxicology (Holbrook), Department of Medicine, McMaster University, Hamilton, Ont.; ICES (Paterson, Gomes, Khuu, Pequeno), Toronto, Ont.; Département de médecine sociale et préventive (Guertin), Faculté de médecine, and Centre de recherche du Centre hospitalier universitaire de Québec (Guertin), Axe Santé des populations et pratiques optimales en santé, Université Laval, Québec, Que.; Li Ka Shing Knowledge Institute (Gomes), St. Michael's Hospital, Toronto, Ont.; Centre for Health Economics and Policy Analysis (Tarride) and Department of Family Medicine (Paterson), McMaster University, Hamilton, Ont.
Jason R GuertinDepartment of Health Research Methods, Evidence, and Impact (Muratov, Lee, Holbrook, Mbuagbaw, Tarride) and Divisions of Geriatric Medicine (Lee) and Clinical Pharmacology and Toxicology (Holbrook), Department of Medicine, McMaster University, Hamilton, Ont.; ICES (Paterson, Gomes, Khuu, Pequeno), Toronto, Ont.; Département de médecine sociale et préventive (Guertin), Faculté de médecine, and Centre de recherche du Centre hospitalier universitaire de Québec (Guertin), Axe Santé des populations et pratiques optimales en santé, Université Laval, Québec, Que.; Li Ka Shing Knowledge Institute (Gomes), St. Michael's Hospital, Toronto, Ont.; Centre for Health Economics and Policy Analysis (Tarride) and Department of Family Medicine (Paterson), McMaster University, Hamilton, Ont.
Lawrence MbuagbawDepartment of Health Research Methods, Evidence, and Impact (Muratov, Lee, Holbrook, Mbuagbaw, Tarride) and Divisions of Geriatric Medicine (Lee) and Clinical Pharmacology and Toxicology (Holbrook), Department of Medicine, McMaster University, Hamilton, Ont.; ICES (Paterson, Gomes, Khuu, Pequeno), Toronto, Ont.; Département de médecine sociale et préventive (Guertin), Faculté de médecine, and Centre de recherche du Centre hospitalier universitaire de Québec (Guertin), Axe Santé des populations et pratiques optimales en santé, Université Laval, Québec, Que.; Li Ka Shing Knowledge Institute (Gomes), St. Michael's Hospital, Toronto, Ont.; Centre for Health Economics and Policy Analysis (Tarride) and Department of Family Medicine (Paterson), McMaster University, Hamilton, Ont.
Tara GomesDepartment of Health Research Methods, Evidence, and Impact (Muratov, Lee, Holbrook, Mbuagbaw, Tarride) and Divisions of Geriatric Medicine (Lee) and Clinical Pharmacology and Toxicology (Holbrook), Department of Medicine, McMaster University, Hamilton, Ont.; ICES (Paterson, Gomes, Khuu, Pequeno), Toronto, Ont.; Département de médecine sociale et préventive (Guertin), Faculté de médecine, and Centre de recherche du Centre hospitalier universitaire de Québec (Guertin), Axe Santé des populations et pratiques optimales en santé, Université Laval, Québec, Que.; Li Ka Shing Knowledge Institute (Gomes), St. Michael's Hospital, Toronto, Ont.; Centre for Health Economics and Policy Analysis (Tarride) and Department of Family Medicine (Paterson), McMaster University, Hamilton, Ont.
Wayne KhuuDepartment of Health Research Methods, Evidence, and Impact (Muratov, Lee, Holbrook, Mbuagbaw, Tarride) and Divisions of Geriatric Medicine (Lee) and Clinical Pharmacology and Toxicology (Holbrook), Department of Medicine, McMaster University, Hamilton, Ont.; ICES (Paterson, Gomes, Khuu, Pequeno), Toronto, Ont.; Département de médecine sociale et préventive (Guertin), Faculté de médecine, and Centre de recherche du Centre hospitalier universitaire de Québec (Guertin), Axe Santé des populations et pratiques optimales en santé, Université Laval, Québec, Que.; Li Ka Shing Knowledge Institute (Gomes), St. Michael's Hospital, Toronto, Ont.; Centre for Health Economics and Policy Analysis (Tarride) and Department of Family Medicine (Paterson), McMaster University, Hamilton, Ont.
Priscila PequenoDepartment of Health Research Methods, Evidence, and Impact (Muratov, Lee, Holbrook, Mbuagbaw, Tarride) and Divisions of Geriatric Medicine (Lee) and Clinical Pharmacology and Toxicology (Holbrook), Department of Medicine, McMaster University, Hamilton, Ont.; ICES (Paterson, Gomes, Khuu, Pequeno), Toronto, Ont.; Département de médecine sociale et préventive (Guertin), Faculté de médecine, and Centre de recherche du Centre hospitalier universitaire de Québec (Guertin), Axe Santé des populations et pratiques optimales en santé, Université Laval, Québec, Que.; Li Ka Shing Knowledge Institute (Gomes), St. Michael's Hospital, Toronto, Ont.; Centre for Health Economics and Policy Analysis (Tarride) and Department of Family Medicine (Paterson), McMaster University, Hamilton, Ont.
Jean-Eric TarrideDepartment of Health Research Methods, Evidence, and Impact (Muratov, Lee, Holbrook, Mbuagbaw, Tarride) and Divisions of Geriatric Medicine (Lee) and Clinical Pharmacology and Toxicology (Holbrook), Department of Medicine, McMaster University, Hamilton, Ont.; ICES (Paterson, Gomes, Khuu, Pequeno), Toronto, Ont.; Département de médecine sociale et préventive (Guertin), Faculté de médecine, and Centre de recherche du Centre hospitalier universitaire de Québec (Guertin), Axe Santé des populations et pratiques optimales en santé, Université Laval, Québec, Que.; Li Ka Shing Knowledge Institute (Gomes), St. Michael's Hospital, Toronto, Ont.; Centre for Health Economics and Policy Analysis (Tarride) and Department of Family Medicine (Paterson), McMaster University, Hamilton, Ont.
St. Michael's Hospital · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Identifiers

PMID31451447
PMCPMC6710084
OpenAlexW2970687946

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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.