Evidence map›Paper›PMID 31441939›Full record

ArticleJAMA network open2019

Association of Mental Health Disorders With Health Care Utilization and Costs Among Adults With Chronic Disease.

Barbora Sporinova, Braden Manns, Marcello Tonelli, Brenda Hemmelgarn, Frank MacMaster, Nicholas Mitchell, Flora Au, Zhihai Ma, Robert Weaver, Amity Quinn

Abstract read
In one paragraph

Article in JAMA network open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 103 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
103citing papers in PubMed, 6 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

103 citing papers in PubMed, 6 syntheses or guidelines pooled it.

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43 more citing papers are in PubMed but not listed here.

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

10 authors.

Barbora SporinovaDepartment of Medicine, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
Braden MannsDepartment of Medicine, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
Marcello TonelliDepartment of Medicine, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
Brenda HemmelgarnDepartment of Medicine, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
Frank MacMasterDepartment of Psychiatry, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
Nicholas MitchellStrategic Clinical Network for Addictions and Mental Health, Alberta Health Services, Edmonton, Alberta, Canada.
Flora AuDepartment of Medicine, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
Zhihai MaDepartment of Medicine, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
Robert WeaverDepartment of Medicine, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
Amity QuinnDepartment of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.

Funding

CIHR
6 · The paper itself

Abstract

Importance: A population-based study using validated algorithms to estimate the costs of treating people with chronic disease with and without mental health disorders is needed. Objective: To determine the association of mental health disorders with health care costs among people with chronic diseases. Design, Setting, and Participants: This population-based cohort study in the Canadian province of Alberta collected data from April 1, 2012, to March 31, 2015, among 991 445 adults 18 years and older with a chronic disease (ie, asthma, congestive heart failure, myocardial infarction, diabetes, epilepsy, hypertension, chronic pulmonary disease, or chronic kidney disease). Data analysis was conducted from October 2017 to August 2018. Exposures: Mental health disorder (ie, depression, schizophrenia, alcohol use disorder, or drug use disorder). Main Outcomes and Measures: Resource use, mean total unadjusted and adjusted 3-year health care costs, and mean total unadjusted 3-year costs for hospitalization and emergency department visits for ambulatory care-sensitive conditions. Results: Among 991 445 participants, 156 296 (15.8%) had a mental health disorder. Those with no mental health disorder were older (mean [SD] age, 58.1 [17.6] years vs 55.4 [17.0] years; P < .001) and less likely to be women (50.4% [95% CI, 50.3%-50.5%] vs 57.7% [95% CI, 57.4%-58.0%]; P < .001) than those with mental health disorders. For those with a mental health disorder, mean total 3-year adjusted costs were $38 250 (95% CI, $36 476-$39 935), and for those without a mental health disorder, mean total 3-year adjusted costs were $22 280 (95% CI, $21 780-$22 760). Having a mental health disorder was associated with significantly higher resource use, including hospitalization and emergency department visit rates, length of stay, and hospitalization for ambulatory care-sensitive conditions. Higher resource use by patients with mental health disorders was not associated with health care presentations owing to chronic diseases compared with patients without a mental health disorder (chronic disease hospitalization rate per 1000 patient days, 0.11 [95% CI, 0.11-0.12] vs 0.06 [95% CI, 0.06-0.06]; P < .001; overall hospitalization rate per 1000 patient days, 0.88 [95% CI, 0.87-0.88] vs 0.43 [95% CI, 0.43-0.43]; P < .001). Conclusions and Relevance: This study suggests that mental health disorders are associated with substantially higher resource utilization and health care costs among patients with chronic diseases. These findings have clinical and health policy implications.

Indexed as

AdultAgedAlbertaAmbulatory CareCase-Control StudiesChronic DiseaseEmergency Service, HospitalFemaleHealth Care CostsHospitalizationHumansLength of StayMaleMental DisordersMental HealthMiddle Aged

Identifiers

PMID31441939
PMCPMC6714022

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.