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Published on: November 21, 2013
The Personal Antipsychotic Choice Index
Floor van Dijk1, Iris de Wit1, Matthijs Blankers2,3
1Department Early Psychosis, Academical Medical Centre of the University of Amsterdam, Amterdam, the Netherlands.
This study introduces a shared decision-making tool for patients with psychotic disorders to select antipsychotic medications. The online aid personalizes medication rankings based on patient-valued effectiveness and adverse effect criteria.
Area of Science:
- Psychiatry
- Pharmacology
- Health Informatics
Background:
- Shared decision-making is crucial for patients with psychotic disorders.
- Antipsychotic medication selection involves complex choices regarding efficacy and side effects.
Purpose of the Study:
- To develop and present an online decision aid for shared decision-making in antipsychotic medication selection.
- To empower patients in choosing treatments based on personalized preferences.
Main Methods:
- Patients selected criteria (effectiveness, adverse effects) using the Subject's Response to Antipsychotics-34 questionnaire.
- Antipsychotics were ranked based on numerical data from meta-analyses, clinical trials, receptor affinities, and expert opinions.
- A personalized ranking was generated by combining patient-input Likert scale values with antipsychotic rank orders via an algorithm.
Main Results:
- Key criteria included effectiveness (psychotic, depressive, cognitive symptoms) and adverse effects (weight gain, sexual dysfunction, drowsiness, etc.).
- High-level evidence supported rankings for weight gain, sexual dysfunction, menstrual disorders, extrapyramidal symptoms, and psychotic symptom effectiveness.
- Lower-level evidence was used for ranking remaining criteria.
Conclusions:
- A transparent, updateable tool was developed for individual antipsychotic ranking.
- The tool facilitates patient involvement in selecting antipsychotic medications based on personal values.
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