Interrupted time series

Health Management Glossary

Research Methods

Definition. Interrupted time series is a quasi-experimental design that evaluates an intervention by comparing the level and trend of an outcome measured repeatedly before and after the intervention.

Explanation

The usual analysis is segmented regression, which estimates the change in level immediately after the intervention and the change in slope afterwards, while accounting for the pre-existing trend (Wagner et al., 2002).

Bernal, Cummins and Gasparrini (2017) describe the design as one of the strongest alternatives to randomised trials for evaluating policies and service changes. Threats include other events occurring at the same time, seasonality and autocorrelation, and too few data points before or after the change.

Related concepts

Causal inference Quality improvement Statistical process control

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References

Bernal, J. L., Cummins, S., & Gasparrini, A. (2017). Interrupted time series regression for the evaluation of public health interventions: A tutorial. International Journal of Epidemiology, 46(1), 348–355.

Wagner, A. K., Soumerai, S. B., Zhang, F., & Ross-Degnan, D. (2002). Segmented regression analysis of interrupted time series studies in medication use research. Journal of Clinical Pharmacy and Therapeutics, 27(4), 299–309.

Cite this entry: Kurutkan, M. N. (2026). Interrupted time series. In The Health Topics glossary. https://healthtopic.org/glossary/interrupted-time-series/

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