Related Experiment Video
Updated: Aug 1, 2025
07:31
Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
Published on: May 15, 2020
7.2K
A framework to assess potential health system resilience using fuzzy logic
Alessandro Jatobá1, Paula de Castro Nunes1, Paulo V R de Carvalho2
1Centro de Estudos Estratégicos Antônio Ivo de Carvalho Fundação Oswaldo Cruz Rio de Janeiro Brazil Centro de Estudos Estratégicos Antônio Ivo de Carvalho, Fundação Oswaldo Cruz, Rio de Janeiro, Brazil.
Summary
Public health systems’ resilience potential was assessed using a novel framework. Lower pre-pandemic resilience scores correlated with greater COVID-19 impact, highlighting areas for system improvement.
Area of Science:
- Public Health
- Health Systems Research
- Epidemiology
Background:
- Assessing public health system resilience is crucial for managing health crises.
- The COVID-19 pandemic highlighted vulnerabilities in global health systems.
- A standardized framework is needed to evaluate health system resilience potential.
Purpose of the Study:
- To develop and validate a framework for assessing public health system resilience.
- To quantify the resilient potential of health systems before the COVID-19 pandemic.
- To compare pre-pandemic resilience potential with actual pandemic performance.
Main Methods:
- Developed a framework using quantitative and qualitative data from Brazilian health authorities.
- Employed fuzzy logic to create a mathematical model for scoring resilient abilities (monitoring, anticipation, learning, response).
- Calculated a coefficient of resilient potential in healthcare using pre-pandemic data and compared it with COVID-19 performance in 10 Brazilian cities.
Main Results:
- Cities severely affected by COVID-19 exhibited lower pre-pandemic resilient potential.
- While some systems had strong response capabilities, underdeveloped abilities hindered COVID-19 management.
- The framework identified specific weaknesses in public health system resilience.
Conclusions:
- The coefficient of resilient potential in healthcare effectively identifies areas for improvement in public health systems.
- Regular assessment of resilience potential can guide continuous improvement and strengthen health system functionality during crises.
- The framework is adaptable to various contexts and levels within public health systems.
Related Concept Videos
01:17Design Example: Analyzing Capacity Contours for Flood Risk Assessment
81
Flood risk assessment involves careful planning and analysis to ensure the safety of communities near water retention structures. Capacity contours are a vital tool in this process, as they illustrate the potential spread of water at specific levels in a given area. In the context of building a bund across a small valley, these contours play a critical role in evaluating the safety of nearby residential areas.In this example, the bund is intended to store stormwater in the valley. The engineers...
81
01:30Health Information Technology and Healthcare Information System
883
Health Information Technology (HIT)
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
883
01:08The Availability Heuristic
6.0K
A heuristic is a general problem-solving framework (Tversky & Kahneman, 1974). You can think of these as mental shortcuts that are used to solve problems. Different types of heuristics are used in different types of situations, and the impulse to use a heuristic occurs when one of five conditions is met (Pratkanis, 1989):
6.0K
01:18Models of Health Promotion and Illness Prevention II
1.6K
The person's health status fluctuates continually, varying from being in good health to becoming ill and returning to being healthy. To understand the concept of illness prevention, there are two models. First, the health-illness continuum model is a graphic representation of an individual's wellness. It states that a person is considered healthy in the absence of physical disease and the presence of good emotional health.
The agent-host-environment model states that disease results...
The agent-host-environment model states that disease results...
1.6K
01:15Methods of Documentation VI: Case Management Model
606
The case management model is a multidisciplinary approach that involves healthcare professionals from diverse disciplines, such as physicians, nurses, therapists, social workers, and pharmacists, working collaboratively to address the various needs of patients. Each healthcare professional brings unique expertise and perspectives, contributing to a more comprehensive understanding of the patient's condition and tailoring treatment plans accordingly.
For example, a patient with a chronic...
For example, a patient with a chronic...
606
01:37Reason and Intuition
6.5K
The human brain processes information for decision-making using one of two routes: an intuitive system and a rational system (Epstein, 1994; popularized by Kahneman, 2011 as System 1 and System 2, respectively). The intuitive system is quick, impulsive, and operates with minimal effort, relying on emotions or habits to provide cues for what to do next, while the rational system is logical, analytical, deliberate, and methodical. Research in neuropsychology suggests that the...
6.5K