Evidence map›Paper›PMID 33750482›Full record

ArticleEpidemiology and psychiatric sciences2021

Potentially preventable hospitalisations for physical health conditions in community mental health service users: a population-wide linkage study.

G Sara, W Chen, M Large, P Ramanuj, J Curtis, F McMillan, C L Mulder, D Currow, P Burgess

Open access · goldAbstract read
In one paragraph

Article in Epidemiology and psychiatric sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.7field-weighted citation impact, top 17% 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

12 citing papers in PubMed, 17 citations in OpenAlex.

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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

9 authors at 8 institutions in 3 countries.

G SaraInforMH, System Information and Analytics Branch, NSW Ministry of Health, Sydney, Australia.ORCID https://orcid.org/0000-0002-3762-1711
W ChenInforMH, System Information and Analytics Branch, NSW Ministry of Health, Sydney, Australia.
M LargeSchool of Psychiatry, University of NSW, Sydney, Australia.
P RamanujRoyal National Orthopaedic Hospital, London, England.
J CurtisSchool of Psychiatry, University of NSW, Sydney, Australia.
F McMillanSchool of Nursing, Midwifery & Indigenous Health, Charles Sturt University, Wagga Wagga, Australia.
C L MulderEpidemiological and Social Research Institute, Erasmus University, Rotterdam, Netherlands.
D CurrowCancer Institute NSW, Sydney, Australia.
P BurgessSchool of Public Health, University of Queensland, Brisbane, Australia.
UNSW Sydney · AUCancer Institute of New South Wales · AUCharles Sturt University · AUErasmus University Rotterdam · NLNew South Wales Department of Health · AURoyal National Orthopaedic Hospital · GBThe University of Queensland · AUThe University of Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsMental health (MH) service users have increased prevalence of chronic physical conditions such as cardio-respiratory diseases and diabetes. Potentially Preventable Hospitalisations (PPH) for physical health conditions are an indicator of health service access, integration and effectiveness, and are elevated in long term studies of people with MH conditions. We aimed to examine whether PPH rates were elevated in MH service users over a 12-month follow-up period more suitable for routine health indicator reporting. We also examined whether MH service users had increased PPH rates at a younger age, potentially reflecting the younger onset of chronic physical conditions.

methodsA population-wide data linkage in New South Wales (NSW), Australia, population 7.8 million. PPH rates in 178 009 people using community MH services in 2016-2017 were compared to population rates. Primary outcomes were crude and age- and disadvantage-standardised annual PPH episode rate (episodes per 100 000 population), PPH day rate (hospital days per 100 000) and adjusted incidence rate ratios (AIRR).

resultsMH service users had higher rates of PPH admission (AIRR 3.6, 95% CI 3.5-3.6) and a larger number of hospital days (AIRR 5.2, 95% CI 5.2-5.3) than other NSW residents due to increased likelihood of admission, more admissions per person and longer length of stay. Increases were greatest for vaccine-preventable conditions (AIRR 4.7, 95% CI 4.5-5.0), and chronic conditions (AIRR 3.7, 95% CI 3.6-3.7). The highest number of admissions and relative risks were for respiratory and metabolic conditions, including chronic obstructive airways disease (AIRR 5.8, 95% CI 5.5-6.0) and diabetic complications (AIRR 5.4, 95% CI 5.1-5.8). One-quarter of excess potentially preventable bed days in MH service users were due to vaccine-related conditions, including vaccine-preventable respiratory illness. Age-related increases in risk occurred earlier in MH service users, particularly for chronic and vaccine-preventable conditions. PPH rates in MH service users aged 20-29 were similar to population rates of people aged 60 and over. These substantial differences were not explained by socio-economic disadvantage.

conclusionsPPHs for physical health conditions are substantially increased in people with MH conditions. Short term (12-month) PPH rates may be a useful lead indicator of increased physical morbidity and less accessible, integrated or effective health care. High hospitalisation rates for vaccine-preventable respiratory infections and hepatitis underline the importance of vaccination in MH service users and suggests potential benefits of prioritising this group for COVID-19 vaccination.

Indexed as

SARS-CoV-2AdultAgedAustraliaChronic DiseaseCommunity Mental Health ServicesComorbidityCOVID-19COVID-19 VaccinesHealth StatusHospitalizationHumansMiddle AgedNew South WalesPrevalenceYoung AdultCOVID-19 VaccinesComorbidityHospitalisationMental DisordersMultimorbidity

Identifiers

PMID33750482
PMCPMC8061153
OpenAlexW3134583307

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.