Evidence map›Paper›PMID 31096989›Full record

ArticleBMC health services research2019

Insights on multimorbidity and associated health service use and costs from three population-based studies of older adults in Ontario with diabetes, dementia and stroke.

Lauren E Griffith, Andrea Gruneir, Kathryn Fisher, Dilzayn Panjwani, Amiram Gafni, Christopher Patterson, Maureen Markle-Reid, Jenny Ploeg

Abstract read
In one paragraph

Article in BMC health services research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing 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

38 citing papers in PubMed.

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  9. Prevalence and sequence of chronic conditions in older people with dementia: a multi-province, population-based cohort study.Health promotion and chronic disease prevention in Canada : research, policy and practice · 2025
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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.

Lauren E GriffithDepartment of Health Research Methods, Evidence, and Impact, McMaster University, McMaster Innovation Park, 175 Longwood Road South, Hamilton, ON, L8P 0A1, Canada. griffith@mcmaster.ca.
Andrea GruneirDepartment of Family Medicine, University of Alberta, 6-10 University Terrace, Edmonton, AB, T6G 2T4, Canada.
Kathryn FisherSchool of Nursing, McMaster University, 1280 Main Street West, Health Sciences Centre, Room 3N25G, Hamilton, Ontario, L8S 4K1, Canada.
Dilzayn PanjwaniWomen's College Research Institute, Women's College Hospital, 790 Bay St., 7th floor, Toronto, ON, M5G 1N8, Canada.
Amiram GafniCentre for Health Economics and Policy Analysis; Department of Health Research Methods, Evidence, and Impact, McMaster University, 1280 Main Street West, Room CRL-208, Hamilton, Ontario, L8S 4K1, Canada.
Christopher PattersonDepartment of Medicine, McMaster University, St. Peter's Hospital, 88 Maplewood, Hamilton, Ontario, L8M 1W9, Canada.
Maureen Markle-ReidSchool of Nursing, McMaster University, 1280 Main Street West, Health Sciences Centre, Room 3N25B, Hamilton, Ontario, L8S 4K1, Canada.
Jenny PloegSchool of Nursing, McMaster University, 1280 Main Street West, Health Sciences Centre, Room 3N25C, Hamilton, Ontario, L8S 4K1, Canada.

Funding

CIHR Signature Initiative in Community-Based Primary Healthcare TTF 128261Ontario Ministry of Health and Long-Term Care 06669
6 · The paper itself

Abstract

backgroundMost studies that examine comorbidity and its impact on health service utilization focus on a single index-condition and are published in disease-specific journals, which limit opportunities to identify patterns across conditions/disciplines. These comparisons are further complicated by the impact of using different study designs, multimorbidity definitions and data sources. The aim of this paper is to share insights on multimorbidity and associated health services use and costs by reflecting on the common patterns across 3 parallel studies in distinct disease cohorts (diabetes, dementia, and stroke) that used the same study design and were conducted in the same health jurisdiction over the same time period.

methodsWe present findings that lend to broader Insights regarding multimorbidity based on the relationship between comorbidity and health service use and costs seen across three distinct disease cohorts. These cohorts were originally created using multiple linked administrative databases to identify community-dwelling residents of Ontario, Canada with one of diabetes, dementia, or stroke in 2008 and each was followed for health service use and associated costs.

resultsWe identified 376,434 indviduals wtih diabetes, 95,399 wtih dementia, and 29,671 with stroke. Four broad insights were identified from considering the similarity in comorbidity, utilization and cost patterns across the three cohorts: 1) the most prevalent comorbidity types were hypertension and arthritis, which accounted for over 75% of comorbidity in each cohort; 2) overall utilization increased consistently with the number of comorbidities, with the vast majority of services attributed to comorbidity rather than the index conditions; 3) the biggest driver of costs for those with lower levels of comorbidity was community-based care, e.g., home care, GP visits, but at higher levels of comorbidity the driver was acute care services; 4) service-specific comorbidity and age patterns were consistent across the three cohorts.

conclusionsDespite the differences in population demographics and prevalence of the three index conditions, there are common patterns with respect to comorbidity, utilization, and costs. These common patterns may illustrate underlying needs of people with multimorbidity that are often obscured in literature that is still single disease-focused.

Indexed as

MultimorbidityAgedAged, 80 and overArthritisComorbidityDementiaDiabetes MellitusFemaleHealth Care CostsHealth ServicesHumansHypertensionMaleOntarioPatient Acceptance of Health CarePrevalenceCommunity-living older adultsComorbidityHealth service costsHealth service utilizationMultimorbidity

Identifiers

PMID31096989
PMCPMC6524233

What OpenQuestion holds

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LicenceCC BY
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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.