Evidence map›Paper›PMID 32414831›Full record

ArticleBMJ open2020

Geographic variation in preventable hospitalisations across Canada: a cross-sectional study.

Piotr Wilk, Shehzad Ali, Kelly K Anderson, Andrew F Clark, Martin Cooke, Stephanie J Frisbee, Jason Gilliland, Michael Haan, Stewart Harris, Soushyant Kiarasi and 7 more

Abstract read
In one paragraph

Article in BMJ open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. A Multi-Specialty Delphi Consensus on Assessing and Managing Cardiopulmonary Risk in Patients with COPD.International journal of chronic obstructive pulmonary disease · 2024
    Article
  7. Article
  8. 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

17 authors.

Piotr WilkDepartment of Epidemiology and Biostatistics, Western University, London, Ontario, Canada pwilk3@uwo.ca.ORCID 0000-0002-1363-2280
Shehzad AliDepartment of Epidemiology and Biostatistics, Western University, London, Ontario, Canada.
Kelly K AndersonDepartment of Epidemiology and Biostatistics, Western University, London, Ontario, Canada.
Andrew F ClarkDepartment of Geography, Western University, London, Ontario, Canada.
Martin CookeSchool of Public Health and Health Systems, University of Waterloo, Waterloo, Ontario, Canada.
Stephanie J FrisbeeDepartment of Pathology and Laboratory Medicine, Western University, London, Ontario, Canada.ORCID 0000-0003-1526-1839
Jason GillilandDepartment of Geography, Western University, London, Ontario, Canada.
Michael HaanDepartment of Sociology, Western University, London, Ontario, Canada.
Stewart HarrisDepartment of Family Medicine, Western University, London, Ontario, Canada.
Soushyant KiarasiDepartment of Epidemiology and Biostatistics, Western University, London, Ontario, Canada.
Alana MaltbyDepartment of Epidemiology and Biostatistics, Western University, London, Ontario, Canada.
Kambiz NoroziDepartment of Paediatrics, Western University, London, Ontario, Canada.
Robert PetrellaDepartment of Family Medicine, Western University, London, Ontario, Canada.
Sisira SarmaDepartment of Epidemiology and Biostatistics, Western University, London, Ontario, Canada.
Sarah S SinghDepartment of Epidemiology and Biostatistics, Western University, London, Ontario, Canada.ORCID 0000-0002-4595-0021
Saverio StrangesDepartment of Epidemiology and Biostatistics, Western University, London, Ontario, Canada.
Amardeep ThindDepartment of Epidemiology and Biostatistics, Western University, London, Ontario, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe objective of this study is to examine the magnitude and pattern of small-area geographic variation in rates of preventable hospitalisations for ambulatory care-sensitive conditions (ACSC) across Canada (excluding Québec). DESIGN AND

settingA cross-sectional study conducted in Canada (excluding Québec) using data from the 2006 Canadian Census Health and Environment Cohort (CanCHEC) linked prospectively to hospitalisation records from the Discharge Abstract Database (DAD) for the three fiscal years: 2006-2007, 2007-2008 and 2008-2009. PRIMARY OUTCOME MEASURE: Preventable hospitalisations (ACSC).

participantsThe 2006 CanCHEC represents a population of 22 562 120 individuals in Canada (excluding Québec). Of this number, 2 940 150 (13.03%) individuals were estimated to be hospitalised at least once during the 2006-2009 fiscal years.

methodsAge-standardised annualised ACSC hospitalisation rates per 100 000 population were computed for each of the 190 Census Divisions. To assess the magnitude of Census Division-level geographic variation in rates of preventable hospitalisations, the global Moran's

resultsOf all the hospitalisation events reported in Canada during the 2006-2009 fiscal years, 337 995 (7.10%) events were ACSC-related hospitalisations. The Moran's

conclusionThe knowledge generated on the small-area geographic variation in preventable hospitalisations can inform regional, provincial and national decision makers on planning, allocation of resources and monitoring performance of health service providers.

Indexed as

HospitalizationCanadaCross-Sectional StudiesHumansManitobaOntarioQuebecSaskatchewanepidemiologyquality in health carestatistics & research methods

Identifiers

PMID32414831
PMCPMC7232620

What OpenQuestion holds

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LicenceCC BY-NC
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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.