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Statistical methods for meta-analysis of interrupted time series studies
2023An interrupted time series study is a type of non-randomised study that allows researchers to quantify the immediate and long-term impact of interruptions like public health policies. For example, the impact of a mass media campaign on HIV testing rates.
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A Comparison of Alternative Approaches to the Analysis of Interrupted Time-Series
Multivariate Behavioral Research, 1985Computer generated data representative of 26 ARIMA models was used to compare the results of interrupted time-series analysis using: (1) the known model identification, (2) an assumed (1, 0, 0) model, and (3) an assumed (3, 0, 0) model as an approximation to the General Transformation approach.
J W, Harrop, W F, Velicer
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Use of Interrupted Time Series Analysis in Evaluating Health Care Quality Improvements
Academic Pediatrics, 2013Interrupted time series (ITS) analysis is arguably the strongest quasi-experimental research design. ITS is particularly useful when a randomized trial is infeasible or unethical. The approach usually involves constructing a time series of population-level rates for a particular quality improvement focus (eg, rates of attention-deficit/hyperactivity ...
Robert B, Penfold, Fang, Zhang
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Improving the Rate of Preschool Vision Screening: An Interrupted Time-Series Analysis
Pediatrics, 2011OBJECTIVE:To implement a 6-month quality improvement project in 13 clinics in North Carolina to improve vision screening rates for children 3 through 5 years of age.METHODS:We trained each clinic in approaches to vision screening and selected champions to provide feedback based on a 3-month baseline chart audit of up to 90 charts in each clinic and ...
Alex R, Kemper +4 more
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Evaluating pharmaceutical policy impacts using interrupted time series analysis
2012Determining the impacts of policy on health outcomes is important for policy makers, clinicians and consumers. Interrupted time series analysis is a powerful quasi experimental method for quantifying change in an outcome after policy implementation. We illustrate the use of interrupted time series analysis for policy evaluation with an Australian case ...
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[Design and analysis of two groups interrupt time series].
Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi, 2019Interrupted time-series (ITS) is a quasi-experimental design which evaluates the effectiveness of an intervention based on time-series outcome variables. Compared with the single group of ITS, the two groups of ITS can better control the influence of pre-interventional confounding factors and evaluate the effectiveness of the intervention.
Y, Li +5 more
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Analysis of Interrupted Time-Series Experiments Using ITSE: A Critique
Understanding Statistics, 2004The ITSE method (Gottman, 1981; Rushe & Gottman, 1993; Williams & Gottman, 1982, 1999) for analyzing the 2-phase interrupted time-series design was evaluated. I point out that the method yields intervention effect estimates that are inconsistent with the logic of the design and that these estimates are likely to be quite misleading.
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Interrupted Time-Series Analysis
Journal of Policy Analysis and Management, 1981Stephen M. Meyer +4 more
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A matching framework to improve causal inference in interrupted time‐series analysis
Journal of Evaluation in Clinical Practice, 2017AbstractRationale, aims, and objectivesInterrupted time‐series analysis (ITSA) is a popular evaluation methodology in which a single treatment unit's outcome is studied over time and the intervention is expected to “interrupt” the level and/or trend of the outcome, subsequent to its introduction. When ITSA is implemented without a comparison group, the
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