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Bridging the mental health treatment gap: effects of a collaborative care intervention (matrix support) in the detection and treatment of mental disorders in a Brazilian city

OBJECTIVE: To analyse temporal trends in diagnosis and treatment of mental disorders in primary care following implementation of a collaborative care intervention (matrix support). DESIGN: Dynamic cohort design with retrospective time-series analysis. Structured secondary data on medical visits to g...

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Autores principales: Saraiva, Sonia, Bachmann, Max, Andrade, Matheus, Liria, Alberto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7507894/
https://www.ncbi.nlm.nih.gov/pubmed/32958519
http://dx.doi.org/10.1136/fmch-2019-000263
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author Saraiva, Sonia
Bachmann, Max
Andrade, Matheus
Liria, Alberto
author_facet Saraiva, Sonia
Bachmann, Max
Andrade, Matheus
Liria, Alberto
author_sort Saraiva, Sonia
collection PubMed
description OBJECTIVE: To analyse temporal trends in diagnosis and treatment of mental disorders in primary care following implementation of a collaborative care intervention (matrix support). DESIGN: Dynamic cohort design with retrospective time-series analysis. Structured secondary data on medical visits to general practitioners of all study clinics were extracted from the municipal electronic records database. Annual changes in the odds of mental disorders diagnoses and antidepressants prescriptions were estimated by multiple logistic regression at visit and patient-year levels with diagnoses or prescriptions as outcomes. Annual changes during two distinct stages of the intervention (stage 1 when it was restricted to mental health (2005–2009), and stage 2 when it was expanded to other areas (2010–2015)) were compared by adding year–period interaction terms to each model. SETTING: 49 primary care clinics in the city of Florianópolis, Brazil. PARTICIPANTS: All adults attending primary care clinics of the study setting between 2005 and 2015. RESULTS: 3 131 983 visits representing 322 100 patients were analysed. At visit level, the odds of mental disorder diagnosis increased by 13% per year during stage 1 (OR 1.13, 95% CI 1.11 to 1.14, p<0.001) and decreased by 5% thereafter (OR 0.95, 95% CI 0.94 to 0.95, p<0.001). The odds of incident mental disorder diagnoses decreased by 1% per year during stage 1 (OR 0.99, 95% CI 0.98 to 1.00, p=0.012) and decreased by 7% per year during stage 2 (OR 0.93, 95% CI 0.92 to 0.93, p<0.001). The odds of antidepressant prescriptions in patients with a mental disorder diagnosis increased by 7% per year during stage 1 (OR 1.07, 95% CI 1.05 to 1.20, p<0.001); this was driven by selective serotonin reuptake inhibitor prescriptions which increased 14% per year during stage 1 (OR 1.14, 95% CI 1.12 to 1.18, p<0.001) and 9% during stage 2 (OR 1.09, 95% CI 1.08 to 1.10, p<0.001). The odds of incident antidepressant prescriptions did not increase during stage 1 (OR 1.00, 95% CI 0.97 to 1.02, p=0.665) and increased by 3% during stage 2 (OR 1.03, 95% CI 1.00 to 1.04, p<0.001). Changes per year were all significantly greater during stage 1 than stage 2 (p values for interaction terms <0.05), except for antidepressant prescriptions during visits (p=0.172). CONCLUSION: The matrix support intervention may increase diagnosis and treatment of mental disorders when inter-professional collaboration is adequately supported. Competing demands to the primary care teams can subsequently reduce these effects. Future studies should assess clinical outcomes and identify active components and factors associated with successful implementation.
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spelling pubmed-75078942020-10-05 Bridging the mental health treatment gap: effects of a collaborative care intervention (matrix support) in the detection and treatment of mental disorders in a Brazilian city Saraiva, Sonia Bachmann, Max Andrade, Matheus Liria, Alberto Fam Med Community Health Original Research OBJECTIVE: To analyse temporal trends in diagnosis and treatment of mental disorders in primary care following implementation of a collaborative care intervention (matrix support). DESIGN: Dynamic cohort design with retrospective time-series analysis. Structured secondary data on medical visits to general practitioners of all study clinics were extracted from the municipal electronic records database. Annual changes in the odds of mental disorders diagnoses and antidepressants prescriptions were estimated by multiple logistic regression at visit and patient-year levels with diagnoses or prescriptions as outcomes. Annual changes during two distinct stages of the intervention (stage 1 when it was restricted to mental health (2005–2009), and stage 2 when it was expanded to other areas (2010–2015)) were compared by adding year–period interaction terms to each model. SETTING: 49 primary care clinics in the city of Florianópolis, Brazil. PARTICIPANTS: All adults attending primary care clinics of the study setting between 2005 and 2015. RESULTS: 3 131 983 visits representing 322 100 patients were analysed. At visit level, the odds of mental disorder diagnosis increased by 13% per year during stage 1 (OR 1.13, 95% CI 1.11 to 1.14, p<0.001) and decreased by 5% thereafter (OR 0.95, 95% CI 0.94 to 0.95, p<0.001). The odds of incident mental disorder diagnoses decreased by 1% per year during stage 1 (OR 0.99, 95% CI 0.98 to 1.00, p=0.012) and decreased by 7% per year during stage 2 (OR 0.93, 95% CI 0.92 to 0.93, p<0.001). The odds of antidepressant prescriptions in patients with a mental disorder diagnosis increased by 7% per year during stage 1 (OR 1.07, 95% CI 1.05 to 1.20, p<0.001); this was driven by selective serotonin reuptake inhibitor prescriptions which increased 14% per year during stage 1 (OR 1.14, 95% CI 1.12 to 1.18, p<0.001) and 9% during stage 2 (OR 1.09, 95% CI 1.08 to 1.10, p<0.001). The odds of incident antidepressant prescriptions did not increase during stage 1 (OR 1.00, 95% CI 0.97 to 1.02, p=0.665) and increased by 3% during stage 2 (OR 1.03, 95% CI 1.00 to 1.04, p<0.001). Changes per year were all significantly greater during stage 1 than stage 2 (p values for interaction terms <0.05), except for antidepressant prescriptions during visits (p=0.172). CONCLUSION: The matrix support intervention may increase diagnosis and treatment of mental disorders when inter-professional collaboration is adequately supported. Competing demands to the primary care teams can subsequently reduce these effects. Future studies should assess clinical outcomes and identify active components and factors associated with successful implementation. BMJ Publishing Group 2020-09-21 /pmc/articles/PMC7507894/ /pubmed/32958519 http://dx.doi.org/10.1136/fmch-2019-000263 Text en © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/ http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Original Research
Saraiva, Sonia
Bachmann, Max
Andrade, Matheus
Liria, Alberto
Bridging the mental health treatment gap: effects of a collaborative care intervention (matrix support) in the detection and treatment of mental disorders in a Brazilian city
title Bridging the mental health treatment gap: effects of a collaborative care intervention (matrix support) in the detection and treatment of mental disorders in a Brazilian city
title_full Bridging the mental health treatment gap: effects of a collaborative care intervention (matrix support) in the detection and treatment of mental disorders in a Brazilian city
title_fullStr Bridging the mental health treatment gap: effects of a collaborative care intervention (matrix support) in the detection and treatment of mental disorders in a Brazilian city
title_full_unstemmed Bridging the mental health treatment gap: effects of a collaborative care intervention (matrix support) in the detection and treatment of mental disorders in a Brazilian city
title_short Bridging the mental health treatment gap: effects of a collaborative care intervention (matrix support) in the detection and treatment of mental disorders in a Brazilian city
title_sort bridging the mental health treatment gap: effects of a collaborative care intervention (matrix support) in the detection and treatment of mental disorders in a brazilian city
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7507894/
https://www.ncbi.nlm.nih.gov/pubmed/32958519
http://dx.doi.org/10.1136/fmch-2019-000263
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