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Dataset Information

Design and statistical analysis reporting among interrupted time series studies in drug utilization research: a cross-sectional survey.


ABSTRACT:

Introduction

Interrupted time series (ITS) design is a commonly used method for evaluating large-scale interventions in clinical practice or public health. However, improperly using this method can lead to biased results.

Objective

To investigate design and statistical analysis characteristics of drug utilization studies using ITS design, and give recommendations for improvements.

Methods

A literature search was conducted based on PubMed from January 2021 to December 2021. We included original articles that used ITS design to investigate drug utilization without restriction on study population or outcome types. A structured, pilot-tested questionnaire was developed to extract information regarding study characteristics and details about design and statistical analysis

SUBMITTER: Zhang Y 

PROVIDER: S-EPMC10924989 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature

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