Measurement issues in the evaluation of chronic disease self-management programs
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To provide an in-depth analysis of outcome measures used in the evaluation of chronic disease self-management programs consistent with the Stanford curricula.
Based on a systematic review on self-management programs, effect sizes derived from reported outcome measures are categorized according to the quality of life appraisal model developed by Schwartz and Rapkin which classifies outcomes from performance-based measures (e.g., clinical outcomes) to evaluation-based measures (e.g., emotional well-being).
The majority of outcomes assessed in self-management trials are based on evaluation-based methods. Overall, effects on knowledge—the only performance-based measure observed in selected trials—are generally medium to large. In contrast, substantially more inconsistent results are found for both perception- and evaluation-based measures that mostly range between nil and small positive effects.
Effectiveness of self-management interventions and resulting recommendations for health policy makers are most frequently derived from highly variable evaluation-based measures, that is, types of outcomes that potentially carry a substantial amount of measurement error and/or bias such as response shift. Therefore, decisions regarding the value and efficacy of chronic disease self-management programs need to be interpreted with care. More research, especially qualitative studies, is needed to unravel cognitive processes and the role of response shift bias in the measurement of change.
- Measurement issues in the evaluation of chronic disease self-management programs
Quality of Life Research
Volume 22, Issue 7 , pp 1655-1664
- Cover Date
- Print ISSN
- Online ISSN
- Springer Netherlands
- Additional Links
- Chronic disease
- Patient education
- Program evaluation
- Outcomes assessment
- Quality of life
- Industry Sectors
- Author Affiliations
- 1. Medical Clinic for Psychosomatics, Charité–University Medicine Berlin, Luisenstraße 13a, 10117, Berlin, Germany
- 2. Public Health Innovation, Population Health Strategic Research Centre, School of Health and Social Development, Faculty of Health, Deakin University, Burwood, VIC, Australia
- 3. School of Health Sciences, City University London, London, UK