• Medientyp: E-Artikel
  • Titel: The Personal Antipsychotic Choice Index : Introducing a Tool for Shared Decision-Making in Selecting Antipsychotic Medication : Introducing a Tool for Shared Decision-Making in Selecting Antipsychotic Medication
  • Beteiligte: van Dijk, Floor; de Wit, Iris; Blankers, Matthijs; Sommer, Iris; de Haan, Lieuwe
  • Erschienen: Georg Thieme Verlag KG, 2018
  • Erschienen in: Pharmacopsychiatry
  • Sprache: Englisch
  • DOI: 10.1055/s-0043-116854
  • ISSN: 1439-0795; 0176-3679
  • Schlagwörter: Pharmacology (medical) ; Psychiatry and Mental health ; General Medicine
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  • Beschreibung: <jats:title>Abstract</jats:title><jats:p> Introduction We present an online decision aid to involve patients with a psychotic disorder in shared decision-making concerning the selection of antipsychotic medication.</jats:p><jats:p> Method Patients selected effectiveness and adverse effects criteria from the Subject’s Response to Antipsychotics-34 questionnaire. Numerical data from meta-analyses, clinical trial data, receptor affinities and expert opinions were used to rank antipsychotics on each criterion. When using the the tool, patients indicate on a 5-point Likert scale how they value each (adverse) effect. The Likert scale values are combined in an algorithm with the rank orders of antipsychotics to create a personalized ranking.</jats:p><jats:p> Results Criteria used were: effectiveness concerning psychotic, depressive and cognitive symptoms, weight gain, sexual dysfunction, drowsiness, hypersomnia, extrapyramidal symptoms, anticholinergic adverse effects, hypersalivation, nausea, dizziness, energy loss, blunted affect/less need for companionship. High-level evidence was available for ranking weight gain, sexual dysfunction, menstrual disorders, extrapyramidal symptoms and effectiveness on psychotic symptoms. We used lower level evidence ranking the remaining criteria.</jats:p><jats:p> Discussion A transparent procedure has resulted in an updateable tool to produce individual ranking of antipsychotics based on the patients’ input.</jats:p>