Evidence map›Paper›PMID 31023330›Full record

ArticleBMC medicine2019

Mortality associated with alternative primary healthcare policies: a nationwide microsimulation modelling study in Brazil.

Davide Rasella, Thomas Hone, Luis Eugenio de Souza, Renato Tasca, Sanjay Basu, Christopher Millett

Abstract read
In one paragraph

Article in BMC medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

20 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Davide RasellaInstituto de Saúde Coletiva, Universidade Federal da Bahia, Salvador, Bahia, Brazil. davide.rasella@gmail.com.ORCID 0000-0002-7260-4386
Thomas HonePublic Health Policy Evaluation Unit, Department of Primary Care and Public Health, School of Public Health, Imperial College London, London, UK.
Luis Eugenio de SouzaInstituto de Saúde Coletiva, Universidade Federal da Bahia, Salvador, Bahia, Brazil.
Renato TascaPan-American Health Organization/World Health Organization Country Office for Brazil, Brasilia, Brazil.
Sanjay BasuCenter for Population Health Sciences, School of Medicine, Stanford University, Stanford, California, USA.
Christopher MillettPublic Health Policy Evaluation Unit, Department of Primary Care and Public Health, School of Public Health, Imperial College London, London, UK.

Funding

Wellcome Trust 109949/Z/15/ZWorld Health Organization 001
6 · The paper itself

Abstract

backgroundBrazil's Estratégia Saúde da Família (ESF) is one of the largest and most robustly evaluated primary healthcare programmes of the world, but it could be affected by fiscal austerity measures and by the possible end of the Mais Médicos programme (MMP)-a major intervention to increase primary care doctors in underserved areas. We forecast the impact of alternative scenarios of ESF coverage changes on under-70 mortality from ambulatory care-sensitive conditions (ACSCs) until 2030, the date for achievement of the Sustainable Development Goals (SDGs).

methodA synthetic cohort of 5507 Brazilian municipalities was created for the period 2017-2030. A municipal-level microsimulation model was developed and validated using longitudinal data and estimates from a previous retrospective study evaluating the effects of municipal ESF coverage on mortality rates. Reductions in ESF coverage, and its effects on ACSC mortality, were forecast based on two probable austerity scenarios, compared with the maintenance of the current coverage or the expansion to 100%. Fixed effects longitudinal regression models were employed to account for secular trends, demographic and socioeconomic changes, healthcare-related variables, and programme duration effects.

resultsUnder austerity scenarios of decreasing ESF coverage with and without the MMP termination, mean ACSC mortality rates would be 8.60% (95% CI 7.03-10.21%; 48,546 excess premature/under-70 deaths along 2017-2030) and 5.80% (95% CI 4.23-7.35%; 27,685 excess premature deaths) higher respectively in 2030 compared to maintaining the current ESF coverage. Comparing decreasing ESF coverage and MMP termination with achieving 100% ESF coverage (Universal Health Coverage scenario) in 2030, mortality rates would be 11.12% higher (95% CI 9.47-12.76%; 83,937 premature deaths). Reductions in ESF coverage would have stronger effects on mortality from infectious diseases and nutritional deficiencies and would disproportionately impact poorer municipalities, with the concentration index for ACSC mortality 11.77% higher (95% CI 0.31-22.32%) and also ending historical declines in racial health inequalities between white and black/pardo Brazilians.

conclusionsReductions in primary healthcare coverage due to austerity measures are likely to be responsible for many avoidable deaths and may preclude achievement of SDGs for health and inequality in Brazil and in other low- and middle-income countries.

Indexed as

BrazilFemaleHealth PolicyHumansMaleMortalityRetrospective StudiesUniversal Health InsuranceBrazilHealth system financingMicrosimulationMortalityPrimary care

Identifiers

PMID31023330
PMCPMC6485171

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.