Background <p>Resilient health systems have been demonstrated to be important in safeguarding global health security against crises. However, health system resilience against infectious disease outbreaks is not well understood because of the ambiguity in the details of the conceptualization, and lack of evidence on the specific capacities that health systems need to be resilient to infectious disease outbreaks. We aimed to provide a detailed understanding of health system resilience against large-scale outbreaks by exploring the relevant factors and clarifying the correlations among them based on empirical evidence.</p> Methods <p>We conducted a qualitative study comprising interviews with key informants in fields related to infectious disease prevention and control from different levels of the health system in China (<i>n</i> = 31). We formed an initial theoretical model for interviews and analysis based on classic models of resilience and theories of infectious disease prevention and control. The experiences of key informants during COVID-19 were explored to collect empirical evidence. The interview data was analyzed to extract resilience-related factors using a hybrid approach of thematic analyses. The complex adaptive system was used to explain the complex correlations of factors during large-scale outbreaks.</p> Results <p>Five dimensions representing the antecedent condition, capacity, and improvement that impact health system resilience against COVID-19 pandemic were extracted: socio-demographic, systems and contingency plans, inputs and reserves, decision-making and community engagement, and recovery and feedback. These dimensions were categorized into 19 resilience-related factors in detail. These factors play different roles during infectious disease prevention and control, leading to outcomes and impact of large-scale outbreaks. A theoretical model was also developed to provide insight into the relationship of these factors and their roles in health system resilience against large-scale infectious disease outbreaks.</p> Conclusions <p>Factors of antecedent condition, capacity, and improvement have an impact on health system resilience against large-scale outbreaks. More actions are needed for pandemic preparedness, outbreak control, reflection and feedback to enhance health system resilience. The resilience threshold concept should be calculated by quantitative research in the future.</p>

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Mapping factors associated with health system resilience against large-scale infectious disease outbreaks: a qualitative study in China

  • Shiyao Xu,
  • Hongyuan Wang,
  • Fei Li,
  • Jincheng Li,
  • Bin He,
  • Zhifeng Wang

摘要

Background

Resilient health systems have been demonstrated to be important in safeguarding global health security against crises. However, health system resilience against infectious disease outbreaks is not well understood because of the ambiguity in the details of the conceptualization, and lack of evidence on the specific capacities that health systems need to be resilient to infectious disease outbreaks. We aimed to provide a detailed understanding of health system resilience against large-scale outbreaks by exploring the relevant factors and clarifying the correlations among them based on empirical evidence.

Methods

We conducted a qualitative study comprising interviews with key informants in fields related to infectious disease prevention and control from different levels of the health system in China (n = 31). We formed an initial theoretical model for interviews and analysis based on classic models of resilience and theories of infectious disease prevention and control. The experiences of key informants during COVID-19 were explored to collect empirical evidence. The interview data was analyzed to extract resilience-related factors using a hybrid approach of thematic analyses. The complex adaptive system was used to explain the complex correlations of factors during large-scale outbreaks.

Results

Five dimensions representing the antecedent condition, capacity, and improvement that impact health system resilience against COVID-19 pandemic were extracted: socio-demographic, systems and contingency plans, inputs and reserves, decision-making and community engagement, and recovery and feedback. These dimensions were categorized into 19 resilience-related factors in detail. These factors play different roles during infectious disease prevention and control, leading to outcomes and impact of large-scale outbreaks. A theoretical model was also developed to provide insight into the relationship of these factors and their roles in health system resilience against large-scale infectious disease outbreaks.

Conclusions

Factors of antecedent condition, capacity, and improvement have an impact on health system resilience against large-scale outbreaks. More actions are needed for pandemic preparedness, outbreak control, reflection and feedback to enhance health system resilience. The resilience threshold concept should be calculated by quantitative research in the future.