Evidence map›Paper›PMID 29282266›Full record

Observational studyBMJ open2017

Senior high-cost healthcare users' resource utilization and outcomes: a protocol of a retrospective matched cohort study in Canada.

Sergei Muratov, Justin Lee, Anne Holbrook, J Michael Paterson, Jason Robert Guertin, Lawrence Mbuagbaw, Tara Gomes, Wayne Khuu, Priscila Pequeno, Andrew P Costa and 1 more

Abstract readObservational Study
In one paragraph

Observational study in BMJ open, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Characteristics and outcome of high-cost ICU patients.ClinicoEconomics and outcomes research : CEOR · 2019
    Article
  6. Article
  7. 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

11 authors.

Sergei MuratovDepartment of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada.
Justin LeeDepartment of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada.
Anne HolbrookDepartment of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada.
J Michael PatersonInstitute for Clinical Evaluative Sciences (ICES), Toronto, Ontario, Canada.
Jason Robert GuertinDépartement de médecine sociale et préventive, Faculté de Médecine, Université Laval, Quebec City, Quebec, Canada.
Lawrence MbuagbawDepartment of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada.
Tara GomesInstitute for Clinical Evaluative Sciences (ICES), Toronto, Ontario, Canada.
Wayne KhuuInstitute for Clinical Evaluative Sciences (ICES), Toronto, Ontario, Canada.
Priscila PequenoInstitute for Clinical Evaluative Sciences (ICES), Toronto, Ontario, Canada.
Andrew P CostaDepartment of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada.
Jean-Eric TarrideDepartment of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada.

Funding

CIHR
6 · The paper itself

Abstract

introductionSenior high-cost users (HCUs) are estimated to represent 60% of all HCUs in Ontario, Canada's most populous province. To improve our understanding of individual and health system characteristics related to senior HCUs, we will examine incident senior HCUs to determine their incremental healthcare utilisation and costs, characteristics of index hospitalisation episodes, mortality and their regional variation across Ontario. METHODS AND ANALYSIS: A retrospective, population-based cohort study using administrative healthcare records will be used. Incident senior HCUs will be defined as Ontarians aged ≥66 years who were in the top 5% of healthcare cost users during fiscal year 2013 but not during fiscal year 2012. Each HCU will be matched to three non-HCUs by age, sex and health planning region. Incremental healthcare use and costs will be determined using the method of recycled predictions. We will apply multivariable logistic regression to determine patient and health service factors associated with index hospitalisation and inhospital mortality during the incident year. The most common causes of admission will be identified and contrasted with the most expensive hospitalised conditions. We will also calculate the ratio of inpatient costs incurred through admissions of ambulatory care sensitive conditions to the total inpatient expenditures. The magnitude of variation in costs and health service utilisation will be established by calculating the extremal quotient, the coefficient of variation and the Gini mean difference for estimates obtained through multilevel regression analyses. ETHICS AND DISSEMINATION: This study has been approved by Hamilton Integrated Research Ethics Board (ID#1715-C). The results of the study will be distributed through peer-reviewed journals. They also will be disseminated at research events in academic settings, national and international conferences as well as with presentations to provincial health authorities.

Indexed as

AgedAged, 80 and overAmbulatory CareDelivery of Health CareFemaleHealth Care CostsHealth ExpendituresHospitalizationHumansLogistic ModelsMaleMultivariate AnalysisOntarioResearch DesignRetrospective Studiesgeriatrics medicinehealth economicshealth services administration and management

Identifiers

PMID29282266
PMCPMC5770942

What OpenQuestion holds

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LicenceCC BY-NC
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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.