Evidence map›Paper›PMID 35017236›Full record

ArticleBMJ open2022

Contribution of primary care expansion to Sustainable Development Goal 3 for health: a microsimulation of the 15 largest cities in Brazil.

Sanjay Basu, Thomas Hone, Daniel Villela, Valeria Saraceni, Anete Trajman, Betina Durovni, Christopher Millett, Davide Rasella

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.8field-weighted citation impact, top 18% of its field
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Observational
  2. Article
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

8 authors at 5 institutions in 4 countries.

Sanjay BasuResearch and Development, Waymark, San Francisco, California, USA Sanjayb493@gmail.com.ORCID 0000-0002-0599-6332
Thomas HonePublic Health Policy Evaluation Unit, Imperial College London, London, UK.ORCID 0000-0003-0703-6973
Daniel VillelaProgram of Scientific Computing, Oswaldo Cruz Foundation, Rio de Janeiro, Brazil.
Valeria SaraceniSecretaria Municipal de Saude do Rio de Janiero, Rio de Janeiro, Brazil.
Anete TrajmanCentro de Estudos Estrategicos, Oswaldo Cruz Foundation, Rio de Janeiro, Brazil.
Betina DurovniFederal University of Rio de Janiero, Rio de Janeiro, Brazil.
Christopher MillettPublic Health Policy Evaluation Unit, Imperial College London, London, UK.
Davide RasellaISGlobal, Barcelona, Spain.
Fundação Oswaldo Cruz · BRImperial College London · GBBarcelona Institute for Global Health · ESBenchmark Research (United States) · USSecretaria Municipal de Saúde · BR

Funding

Medical Research Council MR/P014593/1Wellcome Trust
6 · The paper itself

Abstract

objectivesAs 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.

designMicrosimulation model.

setting15 largest cities by population size in Brazil.

participantsSimulated populations.

interventionsWe 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.

resultsIncreased 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%).

conclusionsFHS 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.

Indexed as

IncomeSustainable DevelopmentBrazilCitiesHumansInfantPrimary Health Caregeneral medicine (see internal medicine)primary carepublic health

Identifiers

PMID35017236
PMCPMC8753407
OpenAlexW4205793712

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.