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| Content Provider | Springer Nature : BioMed Central |
|---|---|
| Author | van Elsland, Sabine L. O’Hare, Ryan M. McCabe, Ruth Laydon, Daniel J. Ferguson, Neil M. Cori, Anne Christen, Paula |
| Abstract | Background Mathematical models and advanced analytics play an important role in policy decision making and mobilizing action. The Imperial College Coronavirus Disease 2019 (COVID-19) Response Team (ICCRT) provided continuous, timely and robust epidemiological analyses to inform the policy responses of governments and public health agencies around the world. This study aims to quantify the policy impact of ICCRT outputs, and understand which evidence was considered policy-relevant during the COVID-19 pandemic. Methods We collated all outputs published by the ICCRT between 01-01-2020 and 24-02-2022 and conducted inductive thematic analysis. A systematic search of the Overton database identified policy document references, as an indicator of policy impact. Results We identified 620 outputs including preprints (16%), reports (29%), journal articles (37%) and news items (18%). More than half (56%) of all reports and preprints were subsequently peer-reviewed and published as a journal article after 202 days on average. Reports and preprints were crucial during the COVID-19 pandemic to the timely distribution of important research findings. One-fifth of ICCRT outputs (21%) were available to or considered by United Kingdom government meetings. Policy documents from 41 countries in 26 different languages referenced 43% of ICCRT outputs, with a mean time between publication and reference in the policy document of 256 days. We analysed a total of 1746 policy document references. Two-thirds (61%) of journal articles, 39% of preprints, 31% of reports and 16% of news items were referenced in one or more policy documents (these 217 outputs had a mean of 8 policy document references per output). The most frequent themes of the evidence produced by the ICCRT reflected the evidence-need for policy decision making, and evolved accordingly from the pre-vaccination phase [severity, healthcare demand and capacity, and non-pharmaceutical interventions (NPIs)] to the vaccination phase of the epidemic (variants and genomics). Conclusion The work produced by the ICCRT affected global and domestic policy during the COVID-19 pandemic. The focus of evidence produced by the ICCRT corresponded with changing policy needs over time. The policy impact from ICCRT news items highlights the effectiveness of this unique communication strategy in addition to traditional research outputs, ensuring research informs policy decisions more effectively. |
| Related Links | https://health-policy-systems.biomedcentral.com/counter/pdf/10.1186/s12961-024-01236-1.pdf |
| Ending Page | 10 |
| Page Count | 10 |
| Starting Page | 1 |
| File Format | HTM / HTML |
| ISSN | 14784505 |
| DOI | 10.1186/s12961-024-01236-1 |
| Journal | Health Research Policy and Systems |
| Issue Number | 1 |
| Volume Number | 22 |
| Language | English |
| Publisher | BioMed Central |
| Publisher Date | 2024-11-13 |
| Access Restriction | Open |
| Subject Keyword | Health Administration R & D Technology Policy Medicine Public Health Health Services Research Health Policy Knowledge translation Evidence-to-policy pathway COVID-19 Mathematical modelling R & D/Technology Policy Medicine/Public Health |
| Content Type | Text |
| Resource Type | Article |
| Subject | Health Policy |
| Journal Impact Factor | 3.6/2023 |
| 5-Year Journal Impact Factor | 4.3/2023 |
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