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| Content Provider | Springer Nature : BioMed Central |
|---|---|
| Author | Kringos, D. Carinci, F. Barbazza, E. Bos, V. Gilmore, K. Groene, O. Gulácsi, L. Ivankovic, D. Jansen, T. Johnsen, S. P. de Lusignan, S. Mainz, J. Nuti, S. Klazinga, N. |
| Abstract | Background The COVID-19 pandemic is a complex global public health crisis presenting clinical, organisational and system-wide challenges. Different research perspectives on health are needed in order to manage and monitor this crisis. Performance intelligence is an approach that emphasises the need for different research perspectives in supporting health systems’ decision-makers to determine policies based on well-informed choices. In this paper, we present the viewpoint of the Innovative Training Network for Healthcare Performance Intelligence Professionals (HealthPros) on how performance intelligence can be used during and after the COVID-19 pandemic. Discussion A lack of standardised information, paired with limited discussion and alignment between countries contribute to uncertainty in decision-making in all countries. Consequently, a plethora of different non-data-driven and uncoordinated approaches to address the outbreak are noted worldwide. Comparative health system research is needed to help countries shape their response models in social care, public health, primary care, hospital care and long-term care through the different phases of the pandemic. There is a need in each phase to compare context-specific bundles of measures where the impact on health outcomes can be modelled using targeted data and advanced statistical methods. Performance intelligence can be pursued to compare data, construct indicators and identify optimal strategies. Embracing a system perspective will allow countries to take coordinated strategic decisions while mitigating the risk of system collapse.A framework for the development and implementation of performance intelligence has been outlined by the HealthPros Network and is of pertinence. Health systems need better and more timely data to govern through a pandemic-induced transition period where tensions between care needs, demand and capacity are exceptionally high worldwide. Health systems are challenged to ensure essential levels of healthcare towards all patients, including those who need routine assistance. Conclusion Performance intelligence plays an essential role as part of a broader public health strategy in guiding the decisions of health system actors on the implementation of contextualised measures to tackle COVID-19 or any future epidemic as well as their effect on the health system at large. This should be based on commonly agreed-upon standardised data and fit-for-purpose indicators, making optimal use of existing health information infrastructures. The HealthPros Network can make a meaningful contribution. |
| Related Links | https://health-policy-systems.biomedcentral.com/counter/pdf/10.1186/s12961-020-00593-x.pdf |
| Ending Page | 8 |
| Page Count | 8 |
| Starting Page | 1 |
| File Format | HTM / HTML |
| ISSN | 14784505 |
| DOI | 10.1186/s12961-020-00593-x |
| Journal | Health Research Policy and Systems |
| Issue Number | 1 |
| Volume Number | 18 |
| Language | English |
| Publisher | BioMed Central |
| Publisher Date | 2020-07-14 |
| Access Restriction | Open |
| Subject Keyword | Health Administration R & D Technology Policy Medicine Public Health Health Services Research Health Policy COVID-19 health systems performance measurement health services health information policy evidence R & D/Technology Policy Medicine/Public Health |
| Content Type | Text |
| Subject | Health Policy |
| Journal Impact Factor | 3.6/2023 |
| 5-Year Journal Impact Factor | 4.3/2023 |
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