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Moderator Effects in Intervention Studies
Heather Becker1, Alexa K Stuifbergen, Wenhui Zhang
1Heather Becker, PhD, is Research Scientist, School of Nursing, The University of Texas at Austin. Alexa K. Stuifbergen, RN, PhD, FAAN, is Professor and Dean, School of Nursing, The University of Texas at Austin. Wenhui Zhang, PhD, is Graduate Assistant and MS in Statistics, School of Nursing and Department of Statistics and Data Science, The University of Texas at Austin. Adam C. Sales, PhD, is Research Associate, School of Nursing, The University of Texas at Austin.
Moderator variables reveal which patients benefit most from nursing interventions for cognitive improvement. This study found that comorbidity, education, and self-efficacy influenced intervention effectiveness in multiple sclerosis patients.
Area of Science:
- Nursing Research
- Cognitive Intervention
- Health Psychology
Background:
- Nursing intervention studies often test group differences.
- Moderator variables identify individual factors influencing intervention effectiveness.
- Understanding moderators is crucial for personalized nursing care.
Purpose of the Study:
- To illustrate moderator effects in nursing research.
- To examine moderators of a cognitive intervention for chronic health conditions.
- To identify factors influencing intervention success for individuals with multiple sclerosis.
Main Methods:
- Utilized data from 178 individuals with multiple sclerosis in a cognitive intervention study.
- Employed general linear models and interaction terms to analyze moderator effects.
- Assessed moderators on self-reported cognitive abilities, memory strategy use, and verbal memory performance.
Main Results:
- Charlson comorbidity index moderated intervention effects on self-perceived cognitive abilities.
- Years of education moderated intervention effects on memory strategy use.
- Self-efficacy scores moderated intervention effects on verbal memory performance.
Conclusions:
- Moderator effects are vital in nursing research for hypothesis generation.
- Individual differences, not just group averages, inform intervention efficacy.
- Identifying moderators enhances understanding of 'what works best for whom'.
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