Stefan Mathis-EdenhoferThomas PlatzMargot PetersSarah IvansitzGeorg SpielBirgit Senft

Use of Routine Data in Evaluating Health-Related Measures

An Example of Data Triangulation of Evaluative and Routine Data

Shortlink: https://www.waxmann.com/artikelART103979
.doi: https://doi.org/10.31244/zfe.2020.01.04

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Abstract

A secondary data evaluation enhances a primary study that evaluates a telemedical aftercare program by analysing the transferability; potentials of routine data are discussed. Methods: A controlled two-armed prospective intervention study (intervention group n=63, control group n=38) was conducted to evaluate a web-based rehabilitation follow-up (W-RENA) and the feasibility of a linkage with a secondary study (n=4,187) was examined. Results: There were less inpatient psychiatric hospital stays in the one-year follow-up of the intervention group compared to the control group. These results could be verified using the control group from routine data. Additionally, subgroup analyses by gender, age and morbidity were performed. Conclusion: Endpoints suitable for external validation can be derived from routine data. Further analy ses are limited by data protection, methodological and technical challenges.

Keywords
Telemedicine, Routine Data, Psychiatric Rehabilitation, Triangulation