Evidence map›Paper›PMID 30022403›Full record

ArticleCanadian journal of public health = Revue canadienne de sante publique2018

Beyond the grey tsunami: a cross-sectional population-based study of multimorbidity in Ontario.

Bridget L Ryan, Krista Bray Jenkyn, Salimah Z Shariff, Britney Allen, Richard H Glazier, Merrick Zwarenstein, Martin Fortin, Moira Stewart

Abstract read
In one paragraph

Article in Canadian journal of public health = Revue canadienne de sante publique, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 pooled it
–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

35 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Patient-centred innovation for multimorbidity care: a mixed-methods, randomised trial and qualitative study of the patients' experience.The British journal of general practice : the journal of the Royal College of General Practitioners · 2021
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  7. Analysing the impact of complex multimorbidity on health-related quality of life.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026
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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

8 authors.

Bridget L RyanCentre for Studies in Family Medicine, Department of Family Medicine; Department of Epidemiology & Biostatistics, Schulich School of Medicine & Dentistry, Western University, 1151 Richmond Street, London, ON, N6A 3K7, Canada. bryan@uwo.ca.ORCID 0000-0001-9080-5635
Krista Bray JenkynWestern Site (ICES Western), Institute of Clinical Evaluative Sciences, London, ON, Canada.
Salimah Z ShariffWestern Site (ICES Western), Institute of Clinical Evaluative Sciences, London, ON, Canada.
Britney AllenWestern Site (ICES Western), Institute of Clinical Evaluative Sciences, London, ON, Canada.
Richard H GlazierCentral Site (ICES Central), Institute for Clinical Evaluative Sciences, Toronto, ON, Canada.
Merrick ZwarensteinCentre for Studies in Family Medicine, Department of Family Medicine; Department of Epidemiology & Biostatistics, Schulich School of Medicine & Dentistry, Western University, 1151 Richmond Street, London, ON, N6A 3K7, Canada.
Martin FortinDepartment of Family Medicine, Université de Sherbrooke, Chicoutimi, QC, Canada.
Moira StewartCentre for Studies in Family Medicine, Department of Family Medicine; Department of Epidemiology & Biostatistics, Schulich School of Medicine & Dentistry, Western University, 1151 Richmond Street, London, ON, N6A 3K7, Canada.

Funding

CIHR
6 · The paper itself

Abstract

objectivesTo determine volumes and rates of multimorbidity in Ontario by age group, sex, material deprivation, and geography.

methodsA cross-sectional population-based study was completed using linked provincial health administrative databases. Ontario residents were classified as having multimorbidity (3+ chronic conditions) or not, based on the presence of 17 chronic conditions. The volumes (number of residents) of multimorbidity were determined by age categories in addition to crude and age-sex standardized rates.

resultsAmong the 2013 Ontario population, 15.2% had multimorbidity. Multimorbidity rates increased across successively older age groups with lowest rates observed in youngest (0-17 years, 0.2%) and highest rates in the oldest (80+ years, 73.5%). The rate of multimorbidity increased gradually from ages 0 to 44 years, with a substantial and graded increase in the rates as the population aged. The top five chronic conditions, of the 17 examined, among those with multimorbidity were mood disorders, hypertensive disorders, asthma, arthritis, and diabetes.

conclusionMuch of the common rhetoric around multimorbidity concerns the aging 'grey tsunami'. This study demonstrated that the volume of multimorbidity is derived from adults beginning as young as age 35 years old. A focus only on the old underestimates the absolute burden of multimorbidity on the health care system. It can mask the association of material deprivation and geography with multimorbidity which can turn our attention away from two critical issues: (1) potential inequality in health and health care in Ontario and (2) preventing younger and middle-aged people from moving into the multimorbidity category.

Indexed as

AdolescentAdultAgedAged, 80 and overChildChild, PreschoolChronic DiseaseCross-Sectional StudiesFemaleHumansInfantInfant, NewbornMaleMiddle AgedMultimorbidityOntarioChronic conditionsMultimorbidityOntarioPopulation health

Identifiers

PMID30022403
PMCPMC6964436

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.