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Toward improved evidence standards and methods for rehabilitation: recommendations and challenges
Mark V Johnston1, Marcel P Dijkers
1Department of Occupational Science and Technology, University of Wisconsin-Milwaukee, Milwaukee, WI 53201, USA. johnsto@uwm.edu
Archives of Physical Medicine and Rehabilitation
|July 31, 2012
Summary
Improving evidence synthesis for disability and rehabilitation programs requires rigorous methods. This study outlines strategies to enhance systematic reviews and knowledge translation for better practice recommendations.
Area of Science:
- Rehabilitation Science
- Evidence-Based Practice
- Knowledge Translation
Background:
- Current systematic review and practice recommendation systems face challenges when applied to disability and rehabilitation.
- Existing methods require adaptation to effectively synthesize evidence in this field.
Purpose of the Study:
- To identify challenges in evidence synthesis and practice recommendations for disability and rehabilitation.
- To propose improved methods for evidence synthesis and knowledge translation in this domain.
Main Methods:
- Explication of criteria for evaluating nonrandomized evidence (e.g., regression discontinuity, interrupted time series).
- Increased use of meta-analysis and consideration of effect size, bias direction, and dose-response.
- Development of review methods for assistive technology and measurement procedures.
- Improved application to practice through attention to treatment alternatives and generalizability.
Main Results:
- Enhanced evidence synthesis can be achieved by refining evaluation of nonrandomized studies and increasing meta-analysis.
- Improved practice application involves considering clinical experience and focusing on the best available evidence.
- Outcomes should be measured and reviewed in terms meaningful to individuals with disabilities.
Conclusions:
- Methods exist to significantly improve evidence synthesis and knowledge translation in disability and rehabilitation.
- Adoption of these refined methods will lead to more effective interventions and programs.
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