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Development of an Index to Assess COVID-19 Hospital Care Installed Capacity in the 450 Brazilian Health Regions.
Pereira, Claudia Cristina de Aguiar; Soares, Fernando Ramalho Gameleira; Machado, Carla Jorge; Frio, Gustavo Saraiva; Alves, Layana Costa; Herkrath, Fernando José; Lima, Rodrigo Tobias de Sousa; Barreto, Ivana Cristina de Holanda Cunha; Silva, Everton Nunes da; Andrade, Anny Beatriz Costa Antony de; Santos, Leonor Maria Pacheco.
  • Pereira CCA; Fundação Oswaldo Cruz (FIOCRUZ), Escola Nacional de Saúde Pública, Rio de Janeiro, Brazil.
  • Soares FRG; Fundação Oswaldo Cruz (FIOCRUZ), Escola Nacional de Saúde Pública, Rio de Janeiro, Brazil.
  • Machado CJ; Instituto Brasileiro de Geografia e Estatística (IBGE), Rio de Janeiro, Brazil.
  • Frio GS; Departamento de Medicina Preventiva e Social, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, Brazil.
  • Alves LC; Universidade de Brasília (UNB), Brasília, Brazil.
  • Herkrath FJ; Ministério da Saúde, Brasília, Brazil.
  • Lima RTS; Fundação Oswaldo Cruz - Fiocruz, Amazonas, Manaus, Brazil.
  • Barreto ICHC; Fundação Oswaldo Cruz - Fiocruz, Amazonas, Manaus, Brazil.
  • Silva END; Fundação Oswaldo Cruz - Fiocruz, Ceará, Brazil.
  • Andrade ABCA; Departamento de Medicina Preventiva e Social, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, Brazil.
  • Santos LMP; Fundação Oswaldo Cruz - Fiocruz, Ceará, Brazil.
Disaster Med Public Health Prep ; : 1-8, 2022 Aug 22.
Article in English | MEDLINE | ID: covidwho-2318122
ABSTRACT

OBJECTIVE:

The article seeks to assess the Brazilian health system ability to respond to the challenges imposed by the coronavirus disease 2019 (COVID-19) pandemic by measuring the capacity of Brazilian hospitals to care for COVID-19 cases in the 450 Health Regions of the country during the year 2020. Hospital capacity refers to the availability of hospital beds, equipment, and human resources.

METHODS:

We used longitudinal data from the National Register of Health Facilities (CNES) regarding the availability of resources necessary to care for patients with COVID-19 in inpatient facilities (public or private) from January to December 2020. Among the assessed resources are health professionals (certified nursing assistants, nurses, physical therapists, and doctors), hospital beds (clinical, intermediate care, and intensive care units), and medical equipment (computed tomography scanners, defibrillators, electrocardiograph monitors, ventilators, and resuscitators). In addition to conducting a descriptive analysis of absolute and relative data (per 10,000 users), a synthetic indicator named Installed Capacity Index (ICI) was calculated using the multivariate principal component analysis technique to assess hospital capacity. The indicator was further stratified into value ranges to understand its evolution.

RESULTS:

There was an increase in all selected indicators between January and December 2020. It was possible to observe differences between the Northeast and North regions and the other regions of the country; most Health Regions presented low ICI. The ICI increased between the beginning and the end of 2020, but this evolution differed among Health Regions. The average increase in the ICI was more evident in the groups that already had considerably high baseline capacity in January 2020.

CONCLUSIONS:

It was possible to identify inequalities in the hospital capacity to care for patients affected by COVID -19 in the Health Regions of Brazil, with a concentration of low index values in the Northeast and North of the country. As the indicator increased throughout the year 2020, inequalities were also observed. The information here provided may be used by health authorities, providers, and managers in planning and adjusting for future COVID-19 care and in dimensioning the adequate supply of hospital beds, health-care professionals, and devices in Health Regions to reduce associated morbidity and mortality. We recommend that the ICI continue to be calculated in the coming months of the pandemic to monitor the capacity in the country's Health Regions.
Keywords

Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Prognostic study / Randomized controlled trials Country/Region as subject: South America / Brazil Language: English Journal: Disaster Med Public Health Prep Journal subject: Public Health Year: 2022 Document Type: Article Affiliation country: Dmp.2022.214

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Prognostic study / Randomized controlled trials Country/Region as subject: South America / Brazil Language: English Journal: Disaster Med Public Health Prep Journal subject: Public Health Year: 2022 Document Type: Article Affiliation country: Dmp.2022.214