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Screening and evaluating alternative and innovative psychiatric treatments: a contextual framework
1Child and Adolescent Disorders Research Branch, NIMH, Rockville, MD 20857.
Psychopharmacology Bulletin
|January 1, 1994
Summary
This study proposes a framework for classifying psychiatric treatments, including alternative therapies, based on their impact on the brain. It suggests innovative approaches to developing new treatments by exploring sensory channels and media.
Area of Science:
- Psychiatry
- Neuroscience
- Medical Innovation
Background:
- Alternative psychiatric treatments are often unconventional and innovative.
- Both mainstream and alternative treatments aim to beneficially impact the patient's brain.
- Existing classification frameworks may not fully encompass the diversity of psychiatric interventions.
Purpose of the Study:
- To propose a comprehensive classification framework for psychiatric treatments.
- To encourage innovation in psychiatric treatment development, particularly for psychosocial interventions.
- To suggest methods for screening and evaluating novel psychiatric treatments.
Main Methods:
- Classifying treatments based on the means used to impact the brain.
- Considering sensory/perceptual transducer channels and media used in treatments.
- Proposing a classification structure including general category, media, sensory transducers, and techniques.
Main Results:
- A proposed classification framework encompassing means, media, sensory transducers, and techniques.
- Recommendations for nurturing innovation, including studying neglected transducer channels and mechanizing input.
- Suggestions for comparing information/feedback packaging and single vs. multiple sensory channel input.
Conclusions:
- A systematic approach to classifying psychiatric treatments can foster innovation.
- Exploring diverse sensory channels and media holds potential for novel therapeutic strategies.
- Careful evaluation is needed to avoid uncritical acceptance or rejection of new treatments, ensuring efficient research resource allocation.