Evidence map›Paper›PMID 35653157›Full record

ArticleJAMA network open2022

Exploring the Use of Hospital and Community Mental Health Services Among Newly Resettled Refugees.

Soumya Mazumdar, Shanley Chong, Sandy Eagar, Stephanie Fletcher-Lartey, Bin Jalaludin, Mitchell Smith

Open access · goldAbstract read
In one paragraph

Article in JAMA network open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

10 citing papers in PubMed, 13 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

6 authors at 4 institutions in 1 country.

Soumya MazumdarPopulation Health Intelligence, South Western Sydney Local Health District, Liverpool, Australia.
Shanley ChongPopulation Health Intelligence, South Western Sydney Local Health District, Liverpool, Australia.
Sandy EagarNew South Wales Refugee Health Service, Liverpool, Australia.
Stephanie Fletcher-LarteyBurnet Institute, Melbourne, Australia.
Bin JalaludinSchool of Population Health, University of New South Wales Medicine, Kensington, Australia.
Mitchell SmithNew South Wales Refugee Health Service, Liverpool, Australia.
UNSW Sydney · AUBurnet Institute · AULiverpool Hospital · AUSouth Western Sydney Local Health District · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Resettled refugees in high-income countries represent a vulnerable population. It is known that refugees have high rates of trauma-related mental health issues; however, ad hoc research has generally revealed low rates of health services use among refugees. Such research usually samples a population at a single point in time and is based on targeted surveys. Because refugee populations change over time, such research becomes expensive and time-consuming for agencies interested in routinely publishing statistics of mental health services use among refugees. The linking of large administrative data sets to establish rates of use of mental health services among resettled refugees is a flexible and relatively inexpensive approach. Objective: To use data linkage to establish rates of mental health services use among resettled refugees relative to the general population. Design, Setting, and Participants: This cross-sectional study implemented data linkage from the Refugee Health Nurse Program for 10 050 refugees who resettled in Sydney, Australia, from October 23, 2012, to June 8, 2017, with data concerning use of community mental health services and mental health hospitalization from New South Wales Health databases. Data were analyzed between June 1, 2019, and December 31, 2021. Main Outcomes and Measures: Rates of service contacts with community mental health services among the resettled refugees were compared with those of the general population by age, sex, and the most common International Statistical Classification of Diseases and Related Health Problems, Tenth Revision, diagnosis codes. Length of community mental health service sessions and rates of mental health hospitalizations were also compared. Results: Among the 255 resettled refugees who had contacts with community mental health care services and were not missing data (median age, 35 [range, 4-80] years; 117 [64%] male and 138 [54%] female), 153 (60%) were born in Iraq and 156 (61%) were Arabic speaking. This population was less likely to use mental health services than the general population and had shorter community mental health consultations. The rate of contacts with community mental health services for depressive disorders among the resettled refugee population was 40% (95% CI, 33%-46%) lower than that among the general population. Rates of same-day hospitalization per 10 000 person-years were not significantly different between the refugee population (4 [95% CI, 2-8]) and the general Australian population (7 [95% CI, 7-7]). However, the refugee population was 17% (95% CI, 6%-29%) more likely than the general Australian population to interact with the community mental health system for severe stress- and adjustment disorder-related diagnoses. Conclusions and Relevance: These findings suggest that refugees who have resettled in Australia tend to use fewer mental health services than the general population except for services devoted to stress- and adjustment disorder-related diagnoses. These findings also suggest that it is possible to successfully leverage data linkage to study patterns of mental health services use among resettled refugees.

Indexed as

Community Mental Health ServicesMental Health ServicesRefugeesAdultAustraliaCross-Sectional StudiesFemaleHospitalsHumansMale

Identifiers

PMID35653157
PMCPMC9163998
OpenAlexW4281663034

What OpenQuestion holds

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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.