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An International Pilot Study of Self-Reported Quality of Life in Outpatient and Inpatient Mental Health Settings

Introduction: Measuring quality of life (QoL) is essential to understand how clients perceive their care. In practice, many instruments are in place to identify mental health diagnoses and measure treatment outcomes, but there are fewer standardized instruments to routinely collect information about...

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Autores principales: de Almeida Mello, Johanna, Luo, Hao, Hirdes, Alice, Heikkilä, Jyrki, Umubyeyi, Benoite, Gishoma, Darius, Saari, Margaret, Hirdes, John P., Van Audenhove, Chantal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8374624/
https://www.ncbi.nlm.nih.gov/pubmed/34421691
http://dx.doi.org/10.3389/fpsyt.2021.719994
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author de Almeida Mello, Johanna
Luo, Hao
Hirdes, Alice
Heikkilä, Jyrki
Umubyeyi, Benoite
Gishoma, Darius
Saari, Margaret
Hirdes, John P.
Van Audenhove, Chantal
author_facet de Almeida Mello, Johanna
Luo, Hao
Hirdes, Alice
Heikkilä, Jyrki
Umubyeyi, Benoite
Gishoma, Darius
Saari, Margaret
Hirdes, John P.
Van Audenhove, Chantal
author_sort de Almeida Mello, Johanna
collection PubMed
description Introduction: Measuring quality of life (QoL) is essential to understand how clients perceive their care. In practice, many instruments are in place to identify mental health diagnoses and measure treatment outcomes, but there are fewer standardized instruments to routinely collect information about self-reported QoL, especially across different mental health settings. Moreover, existing tools have been criticized for being built from the perspective of care professionals rather than the users' perspective. The 23-item Self-Reported interRAI-QoL Survey for Mental Health and Addictions (interRAI SQoL-MHA) tackles these issues, as it is based on self-reported measures and has proven validity across settings and countries. Objective: The aim of this study is to assess and compare QoL across settings and explore associations between dimensions of self-reported QoL and some items from the interRAI SQoL-MHA in a multinational sample. Settings: Inpatient and community mental health services. Methods: Data were collected from organizations in Belgium, Finland, Russia, Brazil, Rwanda, Canada and Hong Kong. Logistic regression models were constructed using each domain scale of the interRAI SQoL-MHA (relationship, support, hope, activities and relationship with staff) as dependent variables. Results: A total of 2,474 people (51.2% female, 56.7% of age 45 or older) were included in the study. A benchmark analysis showed the samples that performed above the benchmark line or below. The models yielded significant odds ratios among the domain scales, as well as for the items of the interRAI SQoL-MHA, with positive associations for the items “work and education opportunities” and “satisfied with services”, and inverse associations for the items “financial difficulties” and for the inpatient setting. Conclusion: The analysis of associations between the determinants offers relevant information to improve mental health care and clients' perceived quality of life. Information about the determinants can help policymakers to design interventions to improve care outcomes, as well as provide more possibilities for integration into the community. The interRAI SQoL-MHA is innovative, as it can be linked to the third generation interRAI MH and Community MH-instruments, to be used in different mental health care settings, combining the objective and subjective QoL domains.
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spelling pubmed-83746242021-08-20 An International Pilot Study of Self-Reported Quality of Life in Outpatient and Inpatient Mental Health Settings de Almeida Mello, Johanna Luo, Hao Hirdes, Alice Heikkilä, Jyrki Umubyeyi, Benoite Gishoma, Darius Saari, Margaret Hirdes, John P. Van Audenhove, Chantal Front Psychiatry Psychiatry Introduction: Measuring quality of life (QoL) is essential to understand how clients perceive their care. In practice, many instruments are in place to identify mental health diagnoses and measure treatment outcomes, but there are fewer standardized instruments to routinely collect information about self-reported QoL, especially across different mental health settings. Moreover, existing tools have been criticized for being built from the perspective of care professionals rather than the users' perspective. The 23-item Self-Reported interRAI-QoL Survey for Mental Health and Addictions (interRAI SQoL-MHA) tackles these issues, as it is based on self-reported measures and has proven validity across settings and countries. Objective: The aim of this study is to assess and compare QoL across settings and explore associations between dimensions of self-reported QoL and some items from the interRAI SQoL-MHA in a multinational sample. Settings: Inpatient and community mental health services. Methods: Data were collected from organizations in Belgium, Finland, Russia, Brazil, Rwanda, Canada and Hong Kong. Logistic regression models were constructed using each domain scale of the interRAI SQoL-MHA (relationship, support, hope, activities and relationship with staff) as dependent variables. Results: A total of 2,474 people (51.2% female, 56.7% of age 45 or older) were included in the study. A benchmark analysis showed the samples that performed above the benchmark line or below. The models yielded significant odds ratios among the domain scales, as well as for the items of the interRAI SQoL-MHA, with positive associations for the items “work and education opportunities” and “satisfied with services”, and inverse associations for the items “financial difficulties” and for the inpatient setting. Conclusion: The analysis of associations between the determinants offers relevant information to improve mental health care and clients' perceived quality of life. Information about the determinants can help policymakers to design interventions to improve care outcomes, as well as provide more possibilities for integration into the community. The interRAI SQoL-MHA is innovative, as it can be linked to the third generation interRAI MH and Community MH-instruments, to be used in different mental health care settings, combining the objective and subjective QoL domains. Frontiers Media S.A. 2021-08-05 /pmc/articles/PMC8374624/ /pubmed/34421691 http://dx.doi.org/10.3389/fpsyt.2021.719994 Text en Copyright © 2021 de Almeida Mello, Luo, Hirdes, Heikkilä, Umubyeyi, Gishoma, Saari, Hirdes and Van Audenhove. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Psychiatry
de Almeida Mello, Johanna
Luo, Hao
Hirdes, Alice
Heikkilä, Jyrki
Umubyeyi, Benoite
Gishoma, Darius
Saari, Margaret
Hirdes, John P.
Van Audenhove, Chantal
An International Pilot Study of Self-Reported Quality of Life in Outpatient and Inpatient Mental Health Settings
title An International Pilot Study of Self-Reported Quality of Life in Outpatient and Inpatient Mental Health Settings
title_full An International Pilot Study of Self-Reported Quality of Life in Outpatient and Inpatient Mental Health Settings
title_fullStr An International Pilot Study of Self-Reported Quality of Life in Outpatient and Inpatient Mental Health Settings
title_full_unstemmed An International Pilot Study of Self-Reported Quality of Life in Outpatient and Inpatient Mental Health Settings
title_short An International Pilot Study of Self-Reported Quality of Life in Outpatient and Inpatient Mental Health Settings
title_sort international pilot study of self-reported quality of life in outpatient and inpatient mental health settings
topic Psychiatry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8374624/
https://www.ncbi.nlm.nih.gov/pubmed/34421691
http://dx.doi.org/10.3389/fpsyt.2021.719994
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