2020
DOI: 10.1093/ije/dyaa118
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Corrigendum to: Interrupted time series regression for the evaluation of public health interventions: a tutorial

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Cited by 432 publications
(670 citation statements)
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“…Within this quality improvement project, an integral feature is that patient preference dictates the chosen care pathway. This, together with some literature indicating that uncertainty exists in power calculations for time series analysis [32,33], meant that a priori power calculation was not performed.…”
Section: Discussionmentioning
confidence: 99%
“…Within this quality improvement project, an integral feature is that patient preference dictates the chosen care pathway. This, together with some literature indicating that uncertainty exists in power calculations for time series analysis [32,33], meant that a priori power calculation was not performed.…”
Section: Discussionmentioning
confidence: 99%
“…To determine whether there was a measurable change in the underlying trend of the OOH antibiotic prescribing volume before and after the national COVID-19 response was imposed in England on 26 March 2020, we performed an interrupted time series analysis (ITSA). ITSA is a quasi-experimental research design commonly used for the evaluation of longitudinal effects of interventions or incidents that might affect population-level health outcomes [ 35 ]. ITSA is particularly useful for assessing outcomes before and after an intervention is introduced when it is not possible or ethical to conduct clinical trials [ 35 ].…”
Section: Methodsmentioning
confidence: 99%
“…ITSA is a quasi-experimental research design commonly used for the evaluation of longitudinal effects of interventions or incidents that might affect population-level health outcomes [ 35 ]. ITSA is particularly useful for assessing outcomes before and after an intervention is introduced when it is not possible or ethical to conduct clinical trials [ 35 ]. In this study, we define the intervention as the combination of (a) the national lockdown limiting public movement, (b) the local reconfiguration of primary care provisions including walk-in centre closure or the referral of cases to respiratory hot hubs, and (c) the switch to telephone- and video-based consultations in place of face-to-face interactions.…”
Section: Methodsmentioning
confidence: 99%
“…In an interrupted time-series design, plotting the time-series helps “identify the underlying trend, seasonal patterns and outliers” (Bernal, Cummins, and Gasparrini 2017:351). The natural first comparisons are the weeks just before and after the Jude story, where we are more confident that the story caused any observed changes.…”
Section: Plotting Data: Did Calls Decline After the Jude Story?mentioning
confidence: 99%