Addressing these problems as threats to internal and external validity, Campbell (1963) concluded that the time series design was the strongest of the common quasi-experimental designs. Addressing threats to st
Interrupted time series (ITS) constitute a class of powerful quasi-experimental designs for evaluating health communication campaigns. This article: 1) describes the basic elements of time-series designs in general and interrupted time-series designs in particular; 2) discusses briefly some of the ...
Campbell DT, Ross HL (1968) The Connecticut crackdown on speeding: time series data in quasi-experimental analysis. Law Soc Rev 3:33–53 Google Scholar Campbell DT, Stanley JC (1963) Experimental and quasi-experimental designs for research. Rand-McNally, Chicago Google Scholar Cohen J (1988...
Interrupted time series (ITS) design is a quasi-experimental approach for evaluating the impact of an intervention in public health research using segmented linear regression (SLR) models. Usually, aggregated data across multiple time points before and after an intervention are compared to detect a ...
This intervention was performed after assessing the appropriateness of the observed antibiotic prescribing practices using a quasi-experimental study. An application of interrupted time series intervention analysis was conducted in three antibiotic groups (aminoglycosides, cephradine/cephalothin, and ceftazidime...
However, two alternative types of quasi‐experimental designs‐ controlled before and after studies and ITS studies‐are recognized by the Effective Practice and Organization of Care Group as improving ...
The Interrupted Time Series (ITS) is a quasi-experimental design commonly used in public health to evaluate the impact of interventions or exposures. Multiple statistical methods are available to analyse data from ITS studies, but no empirical investigat
ITS is a quasi-experimental design suited to evaluate public health interventions at a population level rather than at the individual patient level.7In the ITS analysis, we modeled both the level and slope change to evaluate whether the baseline number and the trend changed, respectively, before ...
Similarly, a quasi-experimental study found that integrated health information systems for primary healthcare significantly improved patients’ healthcare-seeking behavior and enhanced treatment adherence [26]. The HAMs can provide multimodal health detection capabilities, and the integrated design facilitates...
The interrupted time-series design is considered as the strongest quasi-experimental method for evaluating longitudinal effects of unplanned events at the population-level (Bernal et al., 2017; Phung et al., 2017; Wagner et al., 2002). The interrupted time point was defined as the onset date...