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Contribution of primary care expansion to Sustainable Development Goal 3 for health: a microsimulation of the 15 largest cities in Brazil
OBJECTIVES: As middle-income countries strive to achieve the Sustainable Development Goals (SDGs), it remains unclear to what degree expanding primary care coverage can help achieve those goals and reduce within-country inequalities in mortality. Our objective was to estimate the potential impact of...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BMJ Publishing Group
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8753407/ https://www.ncbi.nlm.nih.gov/pubmed/35017236 http://dx.doi.org/10.1136/bmjopen-2021-049251 |
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author | Basu, Sanjay Hone, Thomas Villela, Daniel Saraceni, Valeria Trajman, Anete Durovni, Betina Millett, Christopher Rasella, Davide |
author_facet | Basu, Sanjay Hone, Thomas Villela, Daniel Saraceni, Valeria Trajman, Anete Durovni, Betina Millett, Christopher Rasella, Davide |
author_sort | Basu, Sanjay |
collection | PubMed |
description | OBJECTIVES: As middle-income countries strive to achieve the Sustainable Development Goals (SDGs), it remains unclear to what degree expanding primary care coverage can help achieve those goals and reduce within-country inequalities in mortality. Our objective was to estimate the potential impact of primary care expansion on cause-specific mortality in the 15 largest Brazilian cities. DESIGN: Microsimulation model. SETTING: 15 largest cities by population size in Brazil. PARTICIPANTS: Simulated populations. INTERVENTIONS: We performed survival analysis to estimate HRs of death by cause and by demographic group, from a national administrative database linked to the Estratégia de Saúde da Família (Family Health Strategy, FHS) electronic health and death records among 1.2 million residents of Rio de Janeiro (2010–2016). We incorporated the HRs into a microsimulation to estimate the impact of changing primary care coverage in the 15 largest cities by population size in Brazil. PRIMARY AND SECONDARY OUTCOME MEASURES: Crude and age-standardised mortality by cause, infant mortality and under-5 mortality. RESULTS: Increased FHS coverage would be expected to reduce inequalities in mortality among cities (from 2.8 to 2.4 deaths per 1000 between the highest-mortality and lowest-mortality city, given a 40 percentage point increase in coverage), between welfare recipients and non-recipients (from 1.3 to 1.0 deaths per 1,000), and among race/ethnic groups (between Black and White Brazilians from 1.0 to 0.8 deaths per 1,000). Even a 40 percentage point increase in coverage, however, would be insufficient to reach SDG targets alone, as it would be expected to reduce premature mortality from non-communicable diseases by 20% (vs the target of 33%), and communicable diseases by 15% (vs 100%). CONCLUSIONS: FHS primary care coverage may be critically beneficial to reducing within-country health inequalities, but reaching SDG targets will likely require coordination between primary care and other sectors. |
format | Online Article Text |
id | pubmed-8753407 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-87534072022-01-26 Contribution of primary care expansion to Sustainable Development Goal 3 for health: a microsimulation of the 15 largest cities in Brazil Basu, Sanjay Hone, Thomas Villela, Daniel Saraceni, Valeria Trajman, Anete Durovni, Betina Millett, Christopher Rasella, Davide BMJ Open Health Policy OBJECTIVES: As middle-income countries strive to achieve the Sustainable Development Goals (SDGs), it remains unclear to what degree expanding primary care coverage can help achieve those goals and reduce within-country inequalities in mortality. Our objective was to estimate the potential impact of primary care expansion on cause-specific mortality in the 15 largest Brazilian cities. DESIGN: Microsimulation model. SETTING: 15 largest cities by population size in Brazil. PARTICIPANTS: Simulated populations. INTERVENTIONS: We performed survival analysis to estimate HRs of death by cause and by demographic group, from a national administrative database linked to the Estratégia de Saúde da Família (Family Health Strategy, FHS) electronic health and death records among 1.2 million residents of Rio de Janeiro (2010–2016). We incorporated the HRs into a microsimulation to estimate the impact of changing primary care coverage in the 15 largest cities by population size in Brazil. PRIMARY AND SECONDARY OUTCOME MEASURES: Crude and age-standardised mortality by cause, infant mortality and under-5 mortality. RESULTS: Increased FHS coverage would be expected to reduce inequalities in mortality among cities (from 2.8 to 2.4 deaths per 1000 between the highest-mortality and lowest-mortality city, given a 40 percentage point increase in coverage), between welfare recipients and non-recipients (from 1.3 to 1.0 deaths per 1,000), and among race/ethnic groups (between Black and White Brazilians from 1.0 to 0.8 deaths per 1,000). Even a 40 percentage point increase in coverage, however, would be insufficient to reach SDG targets alone, as it would be expected to reduce premature mortality from non-communicable diseases by 20% (vs the target of 33%), and communicable diseases by 15% (vs 100%). CONCLUSIONS: FHS primary care coverage may be critically beneficial to reducing within-country health inequalities, but reaching SDG targets will likely require coordination between primary care and other sectors. BMJ Publishing Group 2022-01-11 /pmc/articles/PMC8753407/ /pubmed/35017236 http://dx.doi.org/10.1136/bmjopen-2021-049251 Text en © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY. Published by BMJ. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Health Policy Basu, Sanjay Hone, Thomas Villela, Daniel Saraceni, Valeria Trajman, Anete Durovni, Betina Millett, Christopher Rasella, Davide Contribution of primary care expansion to Sustainable Development Goal 3 for health: a microsimulation of the 15 largest cities in Brazil |
title | Contribution of primary care expansion to Sustainable Development Goal 3 for health: a microsimulation of the 15 largest cities in Brazil |
title_full | Contribution of primary care expansion to Sustainable Development Goal 3 for health: a microsimulation of the 15 largest cities in Brazil |
title_fullStr | Contribution of primary care expansion to Sustainable Development Goal 3 for health: a microsimulation of the 15 largest cities in Brazil |
title_full_unstemmed | Contribution of primary care expansion to Sustainable Development Goal 3 for health: a microsimulation of the 15 largest cities in Brazil |
title_short | Contribution of primary care expansion to Sustainable Development Goal 3 for health: a microsimulation of the 15 largest cities in Brazil |
title_sort | contribution of primary care expansion to sustainable development goal 3 for health: a microsimulation of the 15 largest cities in brazil |
topic | Health Policy |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8753407/ https://www.ncbi.nlm.nih.gov/pubmed/35017236 http://dx.doi.org/10.1136/bmjopen-2021-049251 |
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