A novel methodological approach to systematically analyse pandemic influenza response programs within health systems

2010 ◽  
Vol 72 (08/09) ◽  
Author(s):  
A Ahmad ◽  
R Krumkamp ◽  
S Mounier-Jack ◽  
R Reintjes ◽  
R Coker
2020 ◽  
Vol 25 ◽  
pp. 100233
Author(s):  
Melanie Morris ◽  
Susan Landon ◽  
Irene Reguilon ◽  
John Butler ◽  
Martin McKee ◽  
...  

2021 ◽  
Vol 13 (20) ◽  
pp. 11146
Author(s):  
Iwona Markowicz ◽  
Iga Rudawska

Currently, no guidelines exist on how to evaluate the performance of health systems fighting the SARS-CoV-2 pandemic. Therefore, this study seeks (1) to develop a conceptual framework that would be helpful in the given context, and (2) to test the feasibility of the proposed approach. The framework is conceptualized based on investigating critical dimensions and indicators for the successful design of a method for evaluating the performance of health systems. Subsequently, the taxonomic measure of development is used and a correlational analysis made in order to run a pilot test of the proposed concept. The finalized conceptual framework has five input dimensions (demographical burden, epidemiological burden, health-related quality of life, financial resources, and access) described by 18 indicators, and two output domains (outcomes, productivity) described by six indicators to monitor system performance under the COVID-19 pandemic. The pilot-test conducted in European Union countries and the United States proved the model to be useful and feasible. The proposed framework can be used to assess the performance of health systems fighting novel pathogens, such as SARS-CoV-2, worldwide. Our methodological approach can be used as a benchmark for international agencies such as the World Health Organization in developing their own frameworks. The paper presents the first research exploring the evaluation of a health system during the COVID-19 pandemic. It has the potential to help monitor a health system’s performance during the pandemic by accounting for specific country-related circumstances. In a broader sense, it can contribute to boosting health market competitiveness in terms of quality.


2020 ◽  
Vol 18 (3) ◽  
pp. 191-203
Author(s):  
Matthew P. Shearer, MPH ◽  
Diane Meyer, MPH ◽  
Divya Hosangadi, MSPH ◽  
Michael R. Snyder, MALD ◽  
Marc Trotochaud, MSPH ◽  
...  

Objective: Identify operational lessons to support hospital and health system preparedness and response for seasonal and pandemic influenza based on firsthand experiences from the 2017-2018 influenza season. Design: We conducted semistructured, retrospective interviews with New York City Health+Hospitals (NYCH+H) personnel to gather firsthand experiences from the 2017-2018 influenza season and evaluated stress data across four operational domains reported by NYCH+H hospitals during the 2017-2018 influenza season.Setting: Frontline hospitals in the NYCH+H health system during and after the 2017-2018 influenza season.Participants: Interviews conducted with personnel from 5 NYCH+H frontline hospitals. Operational stress data reported by 11 NYCH+H hospitals during the 2017-2018 influenza season.Main Outcome Measures: Operational challenges and lessons from frontline hospitals responding to severe seasonal influenza.Results: Operational stresses during the 2017-2018 influenza season varied over the influenza season, between facilities, and across operational domains. Patient surge and staff absenteeism pushed some facilities to their limits, and supply shortages highlighted shortcomings in existing procurement systems. Resources tied to pandemic influenza were unavailable without a pandemic declaration. Conclusion: Seasonal influenza poses dynamic operational stresses across health systems and cities, potentially causing major impacts outside of declared pandemics. Lessons from NYCH+H can help other hospitals and health systems anticipate operational challenges, but novel solutions are needed to mitigate effects of patient surge and personnel and supply shortages during severe influenza seasons and pandemics. Improved data collection can help health systems better understand operational stresses and challenges across their facilities.


2010 ◽  
Vol 10 (1) ◽  
Author(s):  
Piya Hanvoravongchai ◽  
◽  
Wiku Adisasmito ◽  
Pham Ngoc Chau ◽  
Alexandra Conseil ◽  
...  

2020 ◽  
Vol 15 (2) ◽  
pp. 99-111
Author(s):  
Matthew P. Shearer, MPH ◽  
Diane Meyer, MPH ◽  
Divya Hosangadi, MSPH ◽  
Michael R. Snyder, MALD ◽  
Marc Trotochaud, MSPH ◽  
...  

Objective: Identify operational lessons to support hospital and health system preparedness and response for seasonal and pandemic influenza based on firsthand experiences from the 2017-2018 influenza season.Design: We conducted semistructured, retrospective interviews with New York City Health+Hospitals (NYCH+H) personnel to gather firsthand experiences from the 2017-2018 influenza season and evaluated stress data across four operational domains reported by NYCH+H hospitals during the 2017-2018 influenza season.Setting: Frontline hospitals in the NYCH+H health system during and after the 2017-2018 influenza season.Participants: Interviews conducted with personnel from 5 NYCH+H frontline hospitals. Operational stress data reported by 11 NYCH+H hospitals during the 2017-2018 influenza season.Main Outcome Measures: Operational challenges and lessons from frontline hospitals responding to severe seasonal influenza.Results: Operational stresses during the 2017-2018 influenza season varied over the influenza season, between facilities, and across operational domains. Patient surge and staff absenteeism pushed some facilities to their limits, and supply shortages highlighted shortcomings in existing procurement systems. Resources tied to pandemic influenza were unavailable without a pandemic declaration.Conclusion: Seasonal influenza poses dynamic operational stresses across health systems and cities, potentially causing major impacts outside of declared pandemics. Lessons from NYCH+H can help other hospitals and health systems anticipate operational challenges, but novel solutions are needed to mitigate effects of patient surge and personnel and supply shortages during severe influenza seasons and pandemics. Improved data collection can help health systems better understand operational stresses and challenges across their facilities. 


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