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Population mental health improves with increasing access to treatment: evidence from a dynamic modelling analysis
BACKGROUND: Multiple studies indicate that the prevalence of mental disorders in high-income countries has remained stable or increased despite substantial increases in the provision of care, leading some authors to question the effectiveness of increasing access to current treatments as a means of...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9644460/ https://www.ncbi.nlm.nih.gov/pubmed/36352384 http://dx.doi.org/10.1186/s12888-022-04352-w |
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author | Skinner, Adam Occhipinti, Jo-An Song, Yun Ju Christine Hickie, Ian B. |
author_facet | Skinner, Adam Occhipinti, Jo-An Song, Yun Ju Christine Hickie, Ian B. |
author_sort | Skinner, Adam |
collection | PubMed |
description | BACKGROUND: Multiple studies indicate that the prevalence of mental disorders in high-income countries has remained stable or increased despite substantial increases in the provision of care, leading some authors to question the effectiveness of increasing access to current treatments as a means of improving population mental health. METHODS: We developed a system dynamics model of mental disorder incidence and treatment-dependent recovery to assess two potential explanations for the apparent failure of increasing treatment provision to reduce mental disorder prevalence: 1) an increase in the individual-level risk of disorder onset; and 2) declining effectiveness of care resulting from insufficient services capacity growth. Bayesian Markov Chain Monte Carlo (MCMC) methods were used to fit the model to data on the prevalence of high to very high psychological distress in Australia for the period 2008–2019. RESULTS: Estimates of yearly rates of increase in the per capita incidence of high to very high psychological distress and the proportion of patients recovering when treated indicate that the individual-level risk of developing high to very high levels of distress increased between 2008 and 2019 (posterior probability > 0.999) but provide no evidence for declining treatment effectiveness. Simulation analyses suggest that the prevalence of high to very high psychological distress would have decreased from 14.4% in 2008 to 13.6% in 2019 if per capita incidence had not increased over this period (prevalence difference 0.0079, 95% credible interval 0.0015–0.0176). CONCLUSIONS: Our analyses indicate that a modest but significant effect of increasing access to mental health care in Australia between 2008 and 2019 was obscured by a concurrent increase in the incidence of high to very high psychological distress. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12888-022-04352-w. |
format | Online Article Text |
id | pubmed-9644460 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-96444602022-11-15 Population mental health improves with increasing access to treatment: evidence from a dynamic modelling analysis Skinner, Adam Occhipinti, Jo-An Song, Yun Ju Christine Hickie, Ian B. BMC Psychiatry Research BACKGROUND: Multiple studies indicate that the prevalence of mental disorders in high-income countries has remained stable or increased despite substantial increases in the provision of care, leading some authors to question the effectiveness of increasing access to current treatments as a means of improving population mental health. METHODS: We developed a system dynamics model of mental disorder incidence and treatment-dependent recovery to assess two potential explanations for the apparent failure of increasing treatment provision to reduce mental disorder prevalence: 1) an increase in the individual-level risk of disorder onset; and 2) declining effectiveness of care resulting from insufficient services capacity growth. Bayesian Markov Chain Monte Carlo (MCMC) methods were used to fit the model to data on the prevalence of high to very high psychological distress in Australia for the period 2008–2019. RESULTS: Estimates of yearly rates of increase in the per capita incidence of high to very high psychological distress and the proportion of patients recovering when treated indicate that the individual-level risk of developing high to very high levels of distress increased between 2008 and 2019 (posterior probability > 0.999) but provide no evidence for declining treatment effectiveness. Simulation analyses suggest that the prevalence of high to very high psychological distress would have decreased from 14.4% in 2008 to 13.6% in 2019 if per capita incidence had not increased over this period (prevalence difference 0.0079, 95% credible interval 0.0015–0.0176). CONCLUSIONS: Our analyses indicate that a modest but significant effect of increasing access to mental health care in Australia between 2008 and 2019 was obscured by a concurrent increase in the incidence of high to very high psychological distress. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12888-022-04352-w. BioMed Central 2022-11-09 /pmc/articles/PMC9644460/ /pubmed/36352384 http://dx.doi.org/10.1186/s12888-022-04352-w Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Skinner, Adam Occhipinti, Jo-An Song, Yun Ju Christine Hickie, Ian B. Population mental health improves with increasing access to treatment: evidence from a dynamic modelling analysis |
title | Population mental health improves with increasing access to treatment: evidence from a dynamic modelling analysis |
title_full | Population mental health improves with increasing access to treatment: evidence from a dynamic modelling analysis |
title_fullStr | Population mental health improves with increasing access to treatment: evidence from a dynamic modelling analysis |
title_full_unstemmed | Population mental health improves with increasing access to treatment: evidence from a dynamic modelling analysis |
title_short | Population mental health improves with increasing access to treatment: evidence from a dynamic modelling analysis |
title_sort | population mental health improves with increasing access to treatment: evidence from a dynamic modelling analysis |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9644460/ https://www.ncbi.nlm.nih.gov/pubmed/36352384 http://dx.doi.org/10.1186/s12888-022-04352-w |
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