Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Basu, Sanjay, Hone, Thomas, Villela, Daniel, Saraceni, Valeria, Trajman, Anete, Durovni, Betina, Millett, Christopher, Rasella, Davide
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2022
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
_version_ 1784632090371817472
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
work_keys_str_mv AT basusanjay contributionofprimarycareexpansiontosustainabledevelopmentgoal3forhealthamicrosimulationofthe15largestcitiesinbrazil
AT honethomas contributionofprimarycareexpansiontosustainabledevelopmentgoal3forhealthamicrosimulationofthe15largestcitiesinbrazil
AT villeladaniel contributionofprimarycareexpansiontosustainabledevelopmentgoal3forhealthamicrosimulationofthe15largestcitiesinbrazil
AT saracenivaleria contributionofprimarycareexpansiontosustainabledevelopmentgoal3forhealthamicrosimulationofthe15largestcitiesinbrazil
AT trajmananete contributionofprimarycareexpansiontosustainabledevelopmentgoal3forhealthamicrosimulationofthe15largestcitiesinbrazil
AT durovnibetina contributionofprimarycareexpansiontosustainabledevelopmentgoal3forhealthamicrosimulationofthe15largestcitiesinbrazil
AT millettchristopher contributionofprimarycareexpansiontosustainabledevelopmentgoal3forhealthamicrosimulationofthe15largestcitiesinbrazil
AT raselladavide contributionofprimarycareexpansiontosustainabledevelopmentgoal3forhealthamicrosimulationofthe15largestcitiesinbrazil