Cargando…
Mortality associated with alternative policy options for primary care and the Mais Médicos (More Doctors) Program in Brazil: forecasting future scenarios
OBJECTIVE. To forecast the impact of alternative scenarios of coverage changes in Brazil’s Family Health Strategy (Estratégia Saúde da Família) (ESF)—due to fiscal austerity measures and to the end of the Mais Médicos (More Doctors) Program (PMM)—on overall under-5 mortality rates (U5MRs) and under-...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Organización Panamericana de la Salud
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7111268/ https://www.ncbi.nlm.nih.gov/pubmed/32256546 http://dx.doi.org/10.26633/RPSP.2020.31 |
_version_ | 1783513250220998656 |
---|---|
author | Francesconi, Gabriel Vivas Tasca, Renato Basu, Sanjay Rocha, Thiago Augusto Hernandes Rasella, Davide |
author_facet | Francesconi, Gabriel Vivas Tasca, Renato Basu, Sanjay Rocha, Thiago Augusto Hernandes Rasella, Davide |
author_sort | Francesconi, Gabriel Vivas |
collection | PubMed |
description | OBJECTIVE. To forecast the impact of alternative scenarios of coverage changes in Brazil’s Family Health Strategy (Estratégia Saúde da Família) (ESF)—due to fiscal austerity measures and to the end of the Mais Médicos (More Doctors) Program (PMM)—on overall under-5 mortality rates (U5MRs) and under-70 mortality rates (U70MRs) from ambulatory care sensitive conditions (ACSCs) up through 2030. METHODS. A synthetic cohort of 5 507 Brazilian municipalities was created for the period 2017-2030. A municipal-level microsimulation model was developed and validated using longitudinal data. Reductions in ESF coverage, and its effects on U5MRs and U70MRs from ACSCs, were forecast based on two probable austerity scenarios, as compared to the maintenance of current ESF coverage. Fixed effects longitudinal regression models were employed to account for secular trends, demographic and socioeconomic changes, variables related to health care, and program duration effects. RESULTS. In comparison to maintaining stable ESF coverage, with the decrease in ESF coverage due to austerity measures and PMM termination, the mean U5MR and U70MR would be 13.2% and 8.6% higher, respectively, in 2030. The end of PMM would be responsible for a mean U5MR from ACSCs that is 4.3% higher and a U70MR from ACSCs that is 2.8% higher in 2030. The reduction of PMM coverage due only to the withdrawal of Cuban doctors who have been working in PMM would alone be responsible for a U5MR that is 3.2% higher, and a U70MR that is 2.0% higher in 2030. CONCLUSIONS. Reductions in primary health care coverage due to austerity measures and the end of the PMM could be responsible for many avoidable adult and child deaths in coming years in Brazil. |
format | Online Article Text |
id | pubmed-7111268 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Organización Panamericana de la Salud |
record_format | MEDLINE/PubMed |
spelling | pubmed-71112682020-04-02 Mortality associated with alternative policy options for primary care and the Mais Médicos (More Doctors) Program in Brazil: forecasting future scenarios Francesconi, Gabriel Vivas Tasca, Renato Basu, Sanjay Rocha, Thiago Augusto Hernandes Rasella, Davide Rev Panam Salud Publica Original Research OBJECTIVE. To forecast the impact of alternative scenarios of coverage changes in Brazil’s Family Health Strategy (Estratégia Saúde da Família) (ESF)—due to fiscal austerity measures and to the end of the Mais Médicos (More Doctors) Program (PMM)—on overall under-5 mortality rates (U5MRs) and under-70 mortality rates (U70MRs) from ambulatory care sensitive conditions (ACSCs) up through 2030. METHODS. A synthetic cohort of 5 507 Brazilian municipalities was created for the period 2017-2030. A municipal-level microsimulation model was developed and validated using longitudinal data. Reductions in ESF coverage, and its effects on U5MRs and U70MRs from ACSCs, were forecast based on two probable austerity scenarios, as compared to the maintenance of current ESF coverage. Fixed effects longitudinal regression models were employed to account for secular trends, demographic and socioeconomic changes, variables related to health care, and program duration effects. RESULTS. In comparison to maintaining stable ESF coverage, with the decrease in ESF coverage due to austerity measures and PMM termination, the mean U5MR and U70MR would be 13.2% and 8.6% higher, respectively, in 2030. The end of PMM would be responsible for a mean U5MR from ACSCs that is 4.3% higher and a U70MR from ACSCs that is 2.8% higher in 2030. The reduction of PMM coverage due only to the withdrawal of Cuban doctors who have been working in PMM would alone be responsible for a U5MR that is 3.2% higher, and a U70MR that is 2.0% higher in 2030. CONCLUSIONS. Reductions in primary health care coverage due to austerity measures and the end of the PMM could be responsible for many avoidable adult and child deaths in coming years in Brazil. Organización Panamericana de la Salud 2020-03-31 /pmc/articles/PMC7111268/ /pubmed/32256546 http://dx.doi.org/10.26633/RPSP.2020.31 Text en https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs 3.0 IGO License, which permits use, distribution, and reproduction in any medium, provided the original work is properly cited. No modifications or commercial use of this article are permitted. In any reproduction of this article there should not be any suggestion that PAHO or this article endorse any specific organization or products. The use of the PAHO logo is not permitted. This notice should be preserved along with the article’s original URL. |
spellingShingle | Original Research Francesconi, Gabriel Vivas Tasca, Renato Basu, Sanjay Rocha, Thiago Augusto Hernandes Rasella, Davide Mortality associated with alternative policy options for primary care and the Mais Médicos (More Doctors) Program in Brazil: forecasting future scenarios |
title | Mortality associated with alternative policy options for primary care and the Mais Médicos (More Doctors) Program in Brazil: forecasting future scenarios |
title_full | Mortality associated with alternative policy options for primary care and the Mais Médicos (More Doctors) Program in Brazil: forecasting future scenarios |
title_fullStr | Mortality associated with alternative policy options for primary care and the Mais Médicos (More Doctors) Program in Brazil: forecasting future scenarios |
title_full_unstemmed | Mortality associated with alternative policy options for primary care and the Mais Médicos (More Doctors) Program in Brazil: forecasting future scenarios |
title_short | Mortality associated with alternative policy options for primary care and the Mais Médicos (More Doctors) Program in Brazil: forecasting future scenarios |
title_sort | mortality associated with alternative policy options for primary care and the mais médicos (more doctors) program in brazil: forecasting future scenarios |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7111268/ https://www.ncbi.nlm.nih.gov/pubmed/32256546 http://dx.doi.org/10.26633/RPSP.2020.31 |
work_keys_str_mv | AT francesconigabrielvivas mortalityassociatedwithalternativepolicyoptionsforprimarycareandthemaismedicosmoredoctorsprograminbrazilforecastingfuturescenarios AT tascarenato mortalityassociatedwithalternativepolicyoptionsforprimarycareandthemaismedicosmoredoctorsprograminbrazilforecastingfuturescenarios AT basusanjay mortalityassociatedwithalternativepolicyoptionsforprimarycareandthemaismedicosmoredoctorsprograminbrazilforecastingfuturescenarios AT rochathiagoaugustohernandes mortalityassociatedwithalternativepolicyoptionsforprimarycareandthemaismedicosmoredoctorsprograminbrazilforecastingfuturescenarios AT raselladavide mortalityassociatedwithalternativepolicyoptionsforprimarycareandthemaismedicosmoredoctorsprograminbrazilforecastingfuturescenarios |