Evidence map›Paper›PMID 30122152›Full record

ArticleCritical care (London, England)2018

Reassessing access to intensive care using an estimate of the population incidence of critical illness.

Allan Garland, Kendiss Olafson, Clare D Ramsey, Marina Yogendranc, Randall Fransoo

Open access · goldAbstract read
In one paragraph

Article in Critical care (London, England), 2018. 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
1.3field-weighted citation impact, top 18% 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

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, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Sex differences in intensive care unit admissions in Australia and New Zealand.Critical care and resuscitation : journal of the Australasian Academy of Critical Care Medicine · 2021
    Article
  6. Observational
  7. Is access to intensive care equitable?Critical care (London, England) · 2018
    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

5 authors at 2 institutions in 1 country.

Allan GarlandDepartment of Internal Medicine, University of Manitoba, 820 Sherbrook Street, Winnipeg, MB, R3A1R9, Canada. agarland@hsc.mb.ca.ORCID 0000-0001-7129-936X
Kendiss OlafsonDepartment of Internal Medicine, University of Manitoba, 820 Sherbrook Street, Winnipeg, MB, R3A1R9, Canada.
Clare D RamseyDepartment of Internal Medicine, University of Manitoba, 820 Sherbrook Street, Winnipeg, MB, R3A1R9, Canada.
Marina YogendrancManitoba Centre for Health Policy, University of Manitoba, Room 408, 727 McDermot Avenue, Winnipeg, MB, R3E3P5, Canada.
Randall FransooManitoba Centre for Health Policy, University of Manitoba, Room 408, 727 McDermot Avenue, Winnipeg, MB, R3E3P5, Canada.
University of Manitoba · CAManitoba Health · CA

Funding

Department of Health of the Province of Manitoba n.a.
6 · The paper itself

Abstract

backgroundThe consistently observed male predominance of patients in intensive care units (ICUs) has raised concerns about gender-based disparities in ICU access. Comparing rates of ICU admission requires choosing a normalizing factor (denominator), and the denominator usually used to compare such rates between subpopulations is the size of those subpopulations. However, the appropriate denominator is the number of people whose medical condition warranted ICU care. We devised an estimate of the number of critically ill people in the general population, and used it to compare rates of ICU admission by gender and income.

methodsThis population-based, retrospective analysis included all adults in the Canadian province of Manitoba, 2004-2015. We created an estimate for the number of critically ill people who warrant ICU care, and used it as the denominator to generate critical illness-normalized rates of ICU admission. These were compared to the usual population-normalized rates of ICU care.

resultsMen outnumbered women in ICUs for all age groups; population-normalized male:female rate ratios significantly exceed 0 for every age group, ranging from 1.15 to 2.10. Using critical-illness normalized rates, this male predominance largely disappeared; critically ill men and women aged 45-74 years were admitted in equivalent proportions (critical-illness normalized rate ratios 0.96-1.01). While population-normalized rates of ICU care were higher in lower income strata (p < 0.001), the gradient for critical illness-based rates was reversed (p < 0.001).

conclusionsAcross a 30-year adult age span, the male predominance of ICU patients was accounted for by higher estimated rates of critical illness among men. People in lower income strata had lower critical-illness normalized rates of ICU admission. Our methods highlight that correct inferences about access to healthcare require calculating rates using denominators appropriate for this purpose.

Indexed as

AdultAgedCritical IllnessFemaleHealth Services AccessibilityHospitalizationHumansIncidenceIntensive Care UnitsLength of StayMaleManitobaMiddle AgedRetrospective StudiesCritical illnessHealth care quality, access, and evaluationIntensive care units

Identifiers

PMID30122152
PMCPMC6100704
OpenAlexW2886951707

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.