The contribution of primary care expansion to sustainable development goal three for health: a microsimulation of the fifteen largest cities in Brazil
File(s)
Author(s)
Type
Journal Article
Abstract
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 hazard ratios 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 hazard ratios 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-standardized 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 1,000 between the highest- 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% (versus the target of 33%), and communicable diseases by 15% (versus 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.
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 hazard ratios 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 hazard ratios 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-standardized 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 1,000 between the highest- 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% (versus the target of 33%), and communicable diseases by 15% (versus 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.
Date Issued
2022-01-11
Date Acceptance
2021-12-15
Citation
BMJ Open, 2022, 12
ISSN
2044-6055
Publisher
BMJ Journals
Journal / Book Title
BMJ Open
Volume
12
Copyright Statement
© 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/.
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/.
License URL
Sponsor
Medical Research Council
Identifier
https://bmjopen.bmj.com/content/12/1/e049251
Grant Number
MR/P014593/1
Subjects
Science & Technology
Life Sciences & Biomedicine
Medicine, General & Internal
General & Internal Medicine
primary care
public health
general medicine (see internal medicine)
MORTALITY
general medicine (see internal medicine)
primary care
public health
1103 Clinical Sciences
1117 Public Health and Health Services
1199 Other Medical and Health Sciences
Publication Status
Published