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.

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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

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article

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

Nigel Rice, Nils Gutacker, Rita Santos, Maria Ana Matias et al.
1 citations
Health Economics Review
Insurance and Financial Risk Management
3.13
article

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

Nigel Rice, Nils Gutacker, Rita Santos, Maria Ana Matias, Anne Mason
article en
1 citations

Abstract

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.

Health Economics ReviewVol. 15(1)
University of York (GB)
National Institute for Health and Care Research
Climate action
Openalex Percentile: Top 10%
Insurance and Financial Risk Management
3.13
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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 — Nigel Rice, Nils Gutacker, et al. · Health Economics Review (2025) | TGRS Research Map | TGRS