Evidence map›Paper›PMID 31437268›Full record

ArticleAge and ageing2019

Resource use for older people hospitalised due to injury in a Canadian integrated trauma system: a retrospective multicenter cohort study.

Imen Farhat, Lynne Moore, Teegwendé Valérie Porgo, Marie-Pier Patton, Pier-Alexandre Tardif, Catherine Truchon, Simon Berthelot, Henry T Stelfox, Belinda J Gabbe, François Lauzier and 2 more

Abstract readMulticenter Study
In one paragraph

Article in Age and ageing, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Imen FarhatDepartment of Social and Preventive Medicine, Université Laval, Québec, QC, Canada.
Lynne MooreDepartment of Social and Preventive Medicine, Université Laval, Québec, QC, Canada.
Teegwendé Valérie PorgoDepartment of Social and Preventive Medicine, Université Laval, Québec, QC, Canada.
Marie-Pier PattonDepartment of Social and Preventive Medicine, Université Laval, Québec, QC, Canada.
Pier-Alexandre TardifDepartment of Social and Preventive Medicine, Université Laval, Québec, QC, Canada.
Catherine TruchonInstitut National d'Excellence en Santé et en Services Sociaux (INESSS), Québec, QC, Canada.
Simon BerthelotAxe Santé des Populations et Pratiques Optimales en Santé (Population Health and Optimal Health Practices Research Unit), Traumatologie - Urgence - Soins intensifs (Trauma - Emergency - Critical Care Medicine), Centre de Recherche du CHU de Québec (Hôpital de l'Enfant-Jésus), Université Laval, Québec, QC, Canada.
Henry T StelfoxDepartments of Critical Care Medicine, Medicine and Community Health Sciences, O'Brien Institute for Public Health, University of Calgary, Calgary, AB, Canada.
Belinda J GabbeSchool of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.
François LauzierAxe Santé des Populations et Pratiques Optimales en Santé (Population Health and Optimal Health Practices Research Unit), Traumatologie - Urgence - Soins intensifs (Trauma - Emergency - Critical Care Medicine), Centre de Recherche du CHU de Québec (Hôpital de l'Enfant-Jésus), Université Laval, Québec, QC, Canada.
Alexis F TurgeonDepartment of Social and Preventive Medicine, Université Laval, Québec, QC, Canada.
Julien ClémentInstitut National d'Excellence en Santé et en Services Sociaux (INESSS), Québec, QC, Canada.

Funding

CIHR 358052
6 · The paper itself

Abstract

backgroundInjuries represent one of the leading causes of preventable morbidity and mortality. For countries with ageing populations, admissions of injured older patients are increasing exponentially. Yet, we know little about hospital resource use for injured older patients. Our primary objective was to evaluate inter-hospital variation in the risk-adjusted resource use for injured older patients. Secondary objectives were to identify the determinants of resource use and evaluate its association with clinical outcomes.

methodsWe conducted a multicenter retrospective cohort study of injured older patients (≥65 years) admitted to any trauma centres in the province of Quebec (2013-2016, N = 33,184). Resource use was estimated using activity-based costing and modelled with multilevel linear models. We conducted separate subgroup analyses for patients with trauma and fragility fractures.

resultsRisk-adjusted resource use varied significantly across trauma centres, more for older patients with fragility fractures (intra-class correlation coefficients [ICC] = 0.093, 95% CI [0.079, 0.102]) than with trauma (ICC = 0.047, 95% CI = 0.035-0.051). Risk-adjusted resource use increased with age, and the number of comorbidities, and varied with discharge destination (P < 0.001). Higher hospital resource use was associated with higher incidence of complications for trauma (Pearson correlation coefficient [r] = 0.5, 95% CI = 0.3-0.7) and fragility fractures (r = 0.5, 95% CI = 0.3-0.7) and with higher mortality for fragility fractures (r = 0.4, 95% CI = 0.2-0.6).

conclusionsWe observed significant inter-hospital variations in resource use for injured older patients. Hospitals with higher resource use did not have better clinical outcomes. Hospital resource use may not always positively impact patient care and outcomes. Future studies should evaluate mechanisms, by which hospital resource use impacts care.

Indexed as

AgedAged, 80 and overAge FactorsComorbidityDelivery of Health Care, IntegratedFemaleHospitalizationHumansMalePatient Acceptance of Health CareQuebecRetrospective StudiesTrauma CentersWounds and Injuriesfragility fractureinjuryolder peopleresource usetrauma

Identifiers

PMID31437268
PMCPMC6814085

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.