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1.
Tijdschr Psychiatr ; 64(10): 677-683, 2022.
Article in Dutch | MEDLINE | ID: mdl-36583278

ABSTRACT

BACKGROUND: More than half of the patients suffering from a first psychotic episode withdraw from antipsychotic medication within the first year of treatment. Shared decision making could enhance the therapeutic relationship and thus adherence. AIM: To describe an online decision aid for the selection of antipsychotic medication: the Personal Antipsychotic Choice Index (www.pakwijzer.nl). METHOD: Per effect and side effect, the 15 most commonly prescribed antipsychotics in the Netherlands have been ranked on the basis of data on the magnitude of a desired effect and the chance of a side effect, based on a systematic literature study. We assigned scores to antipsychotics for each desired and undesired effect and processed these scores in an algorithm. A personal ranking of antipsychotics is calculated based on the value that patients attach to these effects. RESULTS: These desired and undesired criteria used are rated in the PACindex: 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. CONCLUSION: A ready applicable online choixe index for the use of an antipsychotic agent has been developed and put into use. The PACindex could be updated when new evidence of new antipsychotics became available..


Subject(s)
Antipsychotic Agents , Disorders of Excessive Somnolence , Problem Behavior , Psychotic Disorders , Humans , Antipsychotic Agents/adverse effects , Psychotic Disorders/drug therapy , Mood Disorders
2.
Eur Psychiatry ; 47: 60-66, 2018 01.
Article in English | MEDLINE | ID: mdl-29102660

ABSTRACT

BACKGROUND: A key indicator of quality of treatment from the patient's perspective is expressed by satisfaction with care. Our aim was to (i) explore satisfaction and its relation to clinical outcome measures; and (ii) explore the predictive value of satisfaction for the course of outcomes over three years. METHODS: Data of 654 patients with a non-affective psychosis included in a naturalistic longitudinal cohort study were analyzed. We included 506 males and 148 females with a mean age of 30.47 (SD 7.24) from The Netherlands. Satisfaction was measured with the self-rating Client Satisfaction Questionnaire-8. A wide range of interviewer-rated (e.g., Positive and Negative Symptom Scale) and self-rated (e.g., World Health Organization Quality of Life); outcomes of low, intermediate and high satisfied patients were compared using ANOVA, Chi2 or Kruskal-Wallis tests. The predictive value of satisfaction level on clinical outcomes after three years was tested using regression models. RESULTS: Satisfaction levels were low (19.4%), intermediate (48.9%) or high (31.7%). High satisfied patients showed significantly better interviewer-rated outcomes, e.g., less severe psychotic symptoms, and self-rated outcomes, e.g., better quality of life, compared to patients with intermediate or low satisfaction. Higher levels of satisfaction with care at baseline predicted a reduction of positive symptoms three years later (B=-.09, P-value=.013). CONCLUSIONS: Satisfaction of patients with psychosis is a valuable monitoring measure since high satisfied patients show more favorable outcomes ranging from psychopathological symptoms to quality of life. Further research into explanations of lower levels of satisfaction is commendable in order to improve outcomes.


Subject(s)
Outcome Assessment, Health Care/methods , Patient Satisfaction , Psychotic Disorders/psychology , Quality of Life/psychology , Adult , Female , Humans , Longitudinal Studies , Male , Netherlands , Psychopathology , Surveys and Questionnaires
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