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Does expanding primary healthcare improve hospital efficiency? Evidence from a panel analysis of avoidable hospitalisations in 5506 municipalities in Brazil, 2000–2014
  1. Everton Nunes da Silva2,
  2. Timothy Powell-Jackson1
  1. 1 Department of Global Health and Development, Faculty of Public Health and Policy, London School of Hygiene and Tropical Medicine, London, UK
  2. 2 Faculty of Ceilandia, University of Brasilia, Brasilia, Brazil
  1. Correspondence to Dr Everton Nunes da Silva; evertonsilva{at}unb.br

Abstract

Background Hospitals account for the major share of health expenditure. Primary healthcare may improve efficiency at the hospital level by reducing avoidable admissions. We examined whether rapid expansion of primary healthcare in the context of Brazil’s Family Health Strategy (FHS) was associated with a reduction in avoidable hospitalisations.

Methods We constructed panel data for 5506 municipalities over 2000–2014. Our primary outcome was the rate of avoidable hospitalisations, defined with reference to the official list of ambulatory care sensitive conditions (ACSC). The exposure variable was FHS coverage. We used first-difference models at the municipality level, controlling for municipality characteristics and confounding trends. We ran similar models for each of the 19 diseases in the list of ACSCs.

Findings FHS coverage expanded from 14% to 64% of the population between 2000 and 2014. Over the same period, the rate of avoidable hospitalisations fell from 17 to 10 per 1000 population. Results from the econometric analysis show that the FHS at full coverage was associated with an increase of 0.6 (95% CI 0.3 to 0.9; p<0.001) in the rate of avoidable hospital admissions. Expansion of the FHS was associated with an increase of 866 (95% CI 762 to 970; p<0.001) in the rate of primary care consultations. The FHS was not significantly associated with a reduction in hospitalisations for any of the 19 conditions.

Conclusions While high-quality primary healthcare can deliver considerable health benefits to the population, it may not always be effective in addressing inefficiencies at the hospital level due to avoidable admissions.

  • health economics
  • health systems evaluation
  • public health
  • prevention strategies

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Footnotes

  • Contributors All authors conceived and designed the study, did the data analysis, contributed to data interpretation and wrote the manuscript. ENS did the literature search and collected the data. TP-J created the figures.

  • Funding ENS reported research grant funding from Council for Scientific and Technological Development Programme (CNPq), Brazil, during the conduct of the study. The funder of the study had no role in study design, data collection, data analysis, data interpretation, or writing of the report. The authors had full access to all the data in the study and had final responsibility for the decision to submit for publication.

  • Competing interests None declared.

  • Patient consent Data were publicly available and did not include identifying information on individuals and thus did not require ethics approval.

  • Provenance and peer review Not commissioned; externally peer reviewed.