What can we learn about the impact of cancelled planned operations on waiting times? A case study using the 2017/18 winter flu postponement policy in England
Despite the high numbers of cancelled planned operations in 2017/18, we could not identify an impact on waiting times. A plausible explanation is that hospital managers routinely anticipate winter pressures and reduce planned activity to manage bed occupancy. Therefore, the 2017/18 national postponement policy merely reinforced existing local decisions. The lack of a suitable counterfactual from which to infer what would have happened in 2017/18 in the absence of a postponement policy makes it impossible to isolate the impact on waiting times. This means that previous NHS cancellation policies are of limited use for informing system recovery from major exogenous shocks, such as the coronavirus pandemic.
Authors
- Nigel Rice (ORCID: https://orcid.org/0000-0003-0312-823X)
- Nils Gutacker (ORCID: https://orcid.org/0000-0002-2833-0621)
- Rita Santos (ORCID: https://orcid.org/0000-0001-7953-1960)
- Maria Ana Matias (ORCID: https://orcid.org/0000-0002-8782-3311)
- Anne Mason
Institutions
- University of York (GB)
Publication Details
- Journal
- Health Economics Review
- Published
- 2025-03-01
- DOI
- https://doi.org/10.1186/s13561-025-00603-0
- Citations
- 1
- Primary Topic
- Insurance and Financial Risk Management
- Type
- article
- Field-Weighted Citation Impact
- 3.13
Funders
- National Institute for Health and Care Research