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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.
Basu, Sanjay; Hone, Thomas; Villela, Daniel; Saraceni, Valeria; Trajman, Anete; Durovni, Betina; Millett, Christopher; Rasella, Davide.
Afiliação
  • Basu S; Research and Development, Waymark, San Francisco, California, USA Sanjayb493@gmail.com.
  • Hone T; Public Health Policy Evaluation Unit, Imperial College London, London, UK.
  • Villela D; Program of Scientific Computing, Oswaldo Cruz Foundation, Rio de Janeiro, Brazil.
  • Saraceni V; Secretaria Municipal de Saude do Rio de Janiero, Rio de Janeiro, Brazil.
  • Trajman A; Centro de Estudos Estrategicos, Oswaldo Cruz Foundation, Rio de Janeiro, Brazil.
  • Durovni B; Federal University of Rio de Janiero, Rio de Janeiro, Brazil.
  • Millett C; Public Health Policy Evaluation Unit, Imperial College London, London, UK.
  • Rasella D; ISGlobal, Barcelona, Spain.
BMJ Open ; 12(1): e049251, 2022 Jan 11.
Article em En | MEDLINE | ID: mdl-35017236
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 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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Desenvolvimento Sustentável / Renda Limite: Humans / Infant País/Região como assunto: America do sul / Brasil Idioma: En Revista: BMJ Open Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Desenvolvimento Sustentável / Renda Limite: Humans / Infant País/Região como assunto: America do sul / Brasil Idioma: En Revista: BMJ Open Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos