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[Routine Practice Data for Evaluating Intervention Effects: Part 2 of the Manual]
Falk Hoffmann1, Thomas Kaiser2, Christian Apfelbacher3
1Department für Versorgungsforschung, Carl von Ossietzky Universität Oldenburg, Oldenburg.
Gesundheitswesen (Bundesverband Der Arzte Des Offentlichen Gesundheitsdienstes (Germany))
|May 21, 2021
Summary
This manual guides health services researchers on using routine practice data for intervention effect evaluation. It covers planning, data collection, and analysis for pharmacotherapy, nonpharmaceutical, and complex interventions.
Area of Science:
- Health Services Research
- Intervention Evaluation
- Routine Practice Data Utilization
Background:
- Evaluating intervention effects is crucial in health services research.
- Routine practice data offers a valuable resource for such evaluations.
- The German Network for Health Services Research (DNVF) addresses this need.
Purpose of the Study:
- To provide a manual on using routine practice data for intervention effect evaluation.
- To address scenarios with and without existing randomized controlled trials (RCTs).
- To detail requirements for planning, data collection, and analysis.
Main Methods:
- Discussion of definition issues and contextual factors.
- Elaboration of general requirements for data use.
- Presentation of concrete examples across pharmacotherapy, nonpharmaceutical, and complex interventions.
Main Results:
- Provides a framework for assessing data source suitability for research questions.
- Illustrates application in oncology, leveraging existing German data.
- Highlights considerations for both RCT-based and non-RCT-based evaluations.
Conclusions:
- Routine practice data can effectively evaluate intervention effects, even without direct RCT comparisons.
- Careful planning and assessment of data suitability are paramount.
- Future use of these data presents both opportunities and challenges.