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Adherence to Electronic Patient-Reported Outcome Measures: A Null-Results Review of Measure-Related Effects on
Rebecca Mukowski-Kickhöfel1,2, Lisa R Otto1,2, Alizé A Rogge1,2
1Center for Patient-Centered Outcomes Research (CPCOR), Charité - Universitätsmedizin, Berlin, Germany.
This review found no studies on how Patient-Reported Outcome Measures (PROMs) affect patient acceptance and adherence in routine care, highlighting a significant research gap in real-world data collection.
Area of Science:
- Health Services Research
- Clinical Informatics
- Patient-Reported Outcomes
Background:
- Patient-Reported Outcome Measures (PROMs) are increasingly used in routine clinical care.
- Understanding factors influencing patient acceptance and adherence to PROMs is crucial for data quality.
- The impact of PROM design on patient engagement in real-world settings remains underexplored.
Purpose of the Study:
- To systematically review the effects of measure-related properties of PROMs on patient acceptance, adherence, and response rates.
- To identify research evaluating the influence of PROM design on patient participation in routine care.
Main Methods:
- A systematic literature search was conducted across multiple databases (MEDLINE, Embase, CINAHL, etc.) for studies published in English or German within the last ten years.
- Inclusion criteria focused on adult patients in routine care with multiple PROMs assessments, excluding drug trials and study protocols.
- Full-text screening of 420 identified publications revealed no studies meeting the predefined inclusion criteria.
Main Results:
- No studies were found that met the inclusion criteria for evaluating measure-related effects of PROMs on patient acceptance and adherence in routine care.
- This indicates a significant research gap regarding the impact of intrinsic PROM characteristics on patient engagement in real-world clinical settings.
Conclusions:
- There is a critical need for research investigating how the design of PROMs influences patient acceptance and adherence.
- Understanding these relationships is essential for maximizing the potential of real-world data derived from PROMs in clinical practice.
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