Evidence map›Paper›PMID 40881367›Full record

ArticleFrontiers in psychiatry2025

Predictors of poor quality of life for patients discharged from acute psychiatric care in Alberta.

Ernest Owusu, Wanying Mao, Reham Shalaby, Hossam Eldin Elgendy, Belinda Agyapong, Ejemai Eboreime, Mobolaji A Lawal, Nnamdi Nkire, Peter H Silverstone, Pierre Chue and 7 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

17 authors.

Ernest OwusuDepartment of Psychiatry, University of Alberta, Edmonton, AB, Canada.
Wanying MaoDepartment of Psychiatry, University of Alberta, Edmonton, AB, Canada.
Reham ShalabyDepartment of Psychiatry, University of Alberta, Edmonton, AB, Canada.
Hossam Eldin ElgendyDepartment of Psychiatry, University of Alberta, Edmonton, AB, Canada.
Belinda AgyapongDepartment of Psychiatry, University of Alberta, Edmonton, AB, Canada.
Ejemai EboreimeDepartment of Psychiatry, Dalhousie University, Halifax, NS, Canada.
Mobolaji A LawalDepartment of Psychiatry, University of Alberta, Edmonton, AB, Canada.
Nnamdi NkireDepartment of Psychiatry, University of Alberta, Edmonton, AB, Canada.
Peter H SilverstoneDepartment of Psychiatry, University of Alberta, Edmonton, AB, Canada.
Pierre ChueDepartment of Psychiatry, University of Alberta, Edmonton, AB, Canada.
Xin-Min LiDepartment of Psychiatry, University of Alberta, Edmonton, AB, Canada.
Wesley VuongConnect Care Clinical Operations Informatics Office, Alberta Health Services, Edmonton, AB, Canada.
Arto OhinmaaSchool of Public Health, University of Alberta, Edmonton, AB, Canada.
Valerie TaylorDepartment of Psychiatry, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.
Carla T HilarioSchool of Nursing, University of British Columbia, Okanagan, BC, Canada.
Andrew J GreenshawDepartment of Psychiatry, University of Alberta, Edmonton, AB, Canada.
Vincent I O AgyapongDepartment of Psychiatry, University of Alberta, Edmonton, AB, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Quality of life (Qol) is a multi-dimensional concept composed of various dimensions, including mental and/or psychological well-being and physical and/or biological health. Objective: The objective of this study is to assess the prevalence and predictors of poor Qol outcomes across the five dimensions of the EQ-5D-5L, namely, mobility, self-care, usual activities, pain/discomfort, and depression/anxiety for individuals discharged from acute psychiatric care in Alberta. Methods: Multiple binary logistic regression models were performed to examine the association between sociodemographic variables and EQ-5D-5L dimensions. Results: Out of the 1106 participants, the majority were Caucasian, 61.6%, 25 years or less, 36.4%, females 54.8%, and had a high school diploma, 51.4%. The prevalence of depression/anxiety in the cohort is 89.2%. Caucasians were two times more likely to present with problems regarding pain/discomfort (OR=2.14; 95% C.I. 1.39 - 3.27) compared to Black participants. Also, retired participants were three times more likely to present with pain/discomfort (OR 3.18; 95% C.I. = 1.45 - 6.96) than those employed. Finally, participants with likely anxiety were almost two times more likely to present problems relating to self-care (OR=1.99; 95% C.I. = 1.41 - 2.81) compared with those who had unlikely anxiety. Conclusion: This study's results highlight the complex interplay of demographic, socioeconomic, and mental health factors that influence various health-related problems. These findings underscore the importance of targeted, holistic health interventions that address physical and mental health needs.

Indexed as

anxietydepressionmobilitypain and discomfortquality of life

Identifiers

PMID40881367
PMCPMC12381775

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.