Making decisions about antipsychotics: a qualitative study of patient experience and the development of a decision aid

Autor: Claire Henderson, Emma Rachel Butler, Stephen J. Kaar, C. Gobjila, Oliver D. Howes
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Zdroj: BMC Psychiatry, Vol 19, Iss 1, Pp 1-8 (2019)
BMC Psychiatry
DOI: 10.1186/s12888-019-2304-3
Popis: Background Shared decision making is a widely accepted standard of patient-centred care that leads to improved clinical outcomes, yet it is commonly underutilised in the field of mental health. Furthermore, little is known regarding patient decision making around antipsychotic medication, which is often poorly adhered to. We aim to explore psychiatric patients’ experiences of antipsychotic medication decision making in order to develop a patient decision aid to promote shared decision making. Methods Focus groups were conducted with patients with chronic psychotic illnesses (n = 20) who had previously made a decision about taking or changing antipsychotic medication. Transcripts were coded and analysed for thematic content and continued until thematic saturation. These themes subsequently informed the development of a decision aid with the help of expert guidance. Further patient input was sought using the think aloud method (n = 3). Results Twenty-three patients participated in the study. Thematic analysis revealed that ‘adverse effects’ was the most common theme identified by patients surrounding antipsychotic medication decision-making followed by ‘mode and time of administration’, ‘symptom control’ and ‘autonomy’. The final decision aid is included to provoke further discussion and development of such aids. Conclusions Patients commonly report negative experiences of antipsychotic medication, in particular side-effects, which remain critical to future decision making around antipsychotic medication. Clinical encounters that increase patient knowledge and maximise autonomy in order to prevent early negative experiences with antipsychotic medication are likely to be beneficial.
Databáze: OpenAIRE
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