OBJECTIVE: Interrupted time series (ITS) is a strong quasi-experimental research design,
which is increasingly applied to estimate the effects of health services and policy …

Abstract Background The Interrupted Time Series (ITS) is a quasi-experimental design
commonly used in public health to evaluate the impact of interventions or exposures …

Given the complex relationships between patients' demographics, underlying health needs,
and outcomes, establishing the causal effects of health policy and delivery interventions on …

Rationale, aims and objectives Single‐group interrupted time series analysis (ITSA) is a
popular evaluation methodology in which a single unit of observation is studied; the …

Interrupted time-series (ITS) designs are a robust and increasingly popular non-randomized
study design for strong causal inference in the evaluation of public health interventions. One …

We thank Benmarhnia and Rudolph 1 for their critical appraisal of our recent article on the
use of controls in interrupted time series (ITS) studies. 2 This offers the opportunity to clarify …

Regression based quasi-experimental approach when randomisation is not an option:
interrupted time series analysis Page 1 ReseaRch Methods & RepoRtinG 1 OPEN ACCESS …

Objectives There is often substantial uncertainty about the impacts of health system and
policy interventions. Despite that, randomized controlled trials (RCTs) are uncommon in this …

Objective Interrupted time series (ITS) designs are robust quasi-experimental designs
commonly used to evaluate the impact of interventions and programs implemented in …

Interrupted time series design is the strongest, quasi‐experimental approach for evaluating
longitudinal effects of interventions. Segmented regression analysis is a powerful statistical …