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Association between government policy and delays in emergent and elective surgical care during the COVID-19 pandemic in Brazil: a modeling study.
Truche, Paul; Campos, Letícia Nunes; Marrazzo, Enzzo Barrozo; Rangel, Ayla Gerk; Bernardino, Ramon; Bowder, Alexis N; Buda, Alexandra M; Faria, Isabella; Pompermaier, Laura; Rice, Henry E; Watters, David; Dantas, Fernanda Lage Lima; Mooney, David P; Botelho, Fabio; Ferreira, Rodrigo Vaz; Alonso, Nivaldo.
  • Truche P; Program in Global Surgery and Social Change, Harvard Medical School, Boston, MA, United States.
  • Campos LN; Faculty of Medical Sciences, Universidade de Pernambuco, Recife, PE, Brazil.
  • Marrazzo EB; Institute of Biological Sciences, Faculty of Medicine Pontifícia Universidade Católica de Minas Gerais Poços de Caldas, MG, Brazil.
  • Rangel AG; Faculty of Medical Sciences, Universidad Católica Argentina, Buenos Aires, Argentina.
  • Bernardino R; School of Medicine, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil.
  • Bowder AN; Program in Global Surgery and Social Change, Harvard Medical School, Boston, MA, United States.
  • Buda AM; Program in Global Surgery and Social Change, Harvard Medical School, Boston, MA, United States.
  • Faria I; School of Medicine, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil.
  • Pompermaier L; Program in Global Surgery and Social Change, Harvard Medical School, Boston, MA, United States.
  • Rice HE; Duke University Medical Center and Duke Global Health Institute, Durham, NC, United States.
  • Watters D; Deakin University and Barwon Health, Melbourne, Australia.
  • Dantas FLL; Federal University of Acre, Public Health System State of Acre, Brazil.
  • Mooney DP; Boston Children's Hospital, Boston, MA, United States.
  • Botelho F; Montreal Children's Hospital, Montreal, Canada.
  • Ferreira RV; Disciplina de Cirurgia, Universidade do Estado do Amazonas, Brazil.
  • Alonso N; Department of Plastic Surgery, University of São Paulo, São Paulo, Brazil.
Lancet Reg Health Am ; 3: 100056, 2021 Nov.
Article in English | MEDLINE | ID: covidwho-1370627
ABSTRACT

BACKGROUND:

The impact of public health policy to reduce the spread of COVID-19 on access to surgical care is poorly defined. We aim to quantify the surgical backlog during the COVID-19 pandemic in the Brazilian public health system and determine the relationship between state-level policy response and the degree of state-level delays in public surgical care.

METHODS:

Monthly estimates of surgical procedures performed per state from January 2016 to December 2020 were obtained from Brazil's Unified Health System Informatics Department. Forecasting models using historical surgical volume data before March 2020 (first reported COVID-19 case) were constructed to predict expected monthly operations from March through December 2020. Total, emergency, and elective surgical monthly backlogs were calculated by comparing reported volume to forecasted volume. Linear mixed effects models were used to model the relationship between public surgical delivery and two measures of health policy response the COVID-19 Stringency Index (SI) and the Containment & Health Index (CHI) by state.

FINDINGS:

Between March and December 2020, the total surgical backlog included 1,119,433 (95% Confidence Interval 762,663-1,523,995) total operations, 161,321 (95%CI 37,468-395,478) emergent operations, and 928,758 (95%CI 675,202-1,208,769) elective operations. Increased SI and CHI scores were associated with reductions in emergent surgical delays but increases in elective surgical backlogs. The maximum government stringency (score = 100) reduced emergency delays to nearly zero but tripled the elective surgical backlog.

INTERPRETATION:

Strong health policy efforts to contain COVID-19 ensure minimal reductions in delivery of emergent surgery, but dramatically increase elective backlogs. Additional coordinated government efforts will be necessary to specifically address the increased elective backlogs that accompany stringent responses.
Keywords

Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Country/Region as subject: South America / Brazil Language: English Journal: Lancet Reg Health Am Year: 2021 Document Type: Article Affiliation country: J.lana.2021.100056

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Country/Region as subject: South America / Brazil Language: English Journal: Lancet Reg Health Am Year: 2021 Document Type: Article Affiliation country: J.lana.2021.100056