A framework to assess potential health system resilience using fuzzy logic

Datos Bibliográficos

ID14967993
AutoresAlessandro Jatobá (0000-0002-7059-6546, Fundação Oswaldo Cruz, autor de correspondencia), Paula De Castro Nunes (0000-0002-9117-9805, Fundação Oswaldo Cruz), Paulo Victor Rodrigues De Carvalho (0000-0002-9276-8193, Nuclear Engineering Institute)
Año2023
Volumen47
Páginas1
Fecha de publicación2023-04-28
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaRevista Panamericana de Salud Pública (JOURNAL)
Identificadores de la revistaISSN: 1020-4989 • E-ISSN: 1680-5348
EditorialPan American Health Organization (PUBLISHER • US)
DOI10.26633/rpsp.2023.73
PMID37123641
OpenAlexW4367322915
IdiomaEN
Citas recibidas20
Referencias citadas20

Objectives. To develop and test a framework to assess the potential of public health systems to maintain a resilient performance. Methods. Quantitative data from public databases and qualitative data from technical reports of Brazilian health authorities were used to develop the framework which was assessed and modified by experts. Fuzzy logic was used for the mathematical model to determine scores for four resilient abilities – monitoring, anticipation, learning, and response – and an aggregated coefficient of resilient potential in health care. The coefficient measures used data from before the coronavirus disease 2019 (COVID-19) pandemic. These were compared with measures of the actual performance of health systems in 10 cities in Brazil during the pandemic. Results. The coefficient of resilient potential in health care showed that the cities most affected by COVID-19 had lower potential for resilient performance before the pandemic. Some local health systems had adequate response capabilities, but other abilities were not well developed, which adversely affected the management of the spread of COVID-19. Conclusions. The coefficient of resilient potential in health care is useful to indicate important areas for resilient performance and the different types of resilience capacities that can be considered in different contexts and levels of public health systems. Regular assessment of the potential of health systems for resilient performance would help highlight opportunities for continuous improvement in health system functions during chronic stress situations, which could strengthen their ability to keep functioning in the face of sudden disturbances

Anticipation (artificial intelligence · Business · Coronavirus disease 2019 (COVID-19 · Disease · Economic growth · Economics · Fuzzy logic · Health care · Healthcare system · Pandemic · Psychological resilience · Public health · Resilience (materials science · Risk analysis (engineering · Computer Science · Disaster Response and Management · Health Systems, Economic Evaluations, Quality of Life · Healthcare Systems and Reforms · Medicine · Nursing · Psychology · Social Psychology · Artificial Intelligence