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1.
BMC Psychiatry ; 19(1): 309, 2019 10 23.
Article in English | MEDLINE | ID: mdl-31646985

ABSTRACT

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.


Subject(s)
Antipsychotic Agents/therapeutic use , Decision Making , Decision Support Techniques , Mental Disorders/psychology , Patient Participation/psychology , Adult , Chronic Disease , Female , Focus Groups , Humans , Male , Mental Disorders/drug therapy , Qualitative Research
2.
Acta Psychiatr Scand ; 137(1): 39-46, 2018 Jan.
Article in English | MEDLINE | ID: mdl-29072776

ABSTRACT

OBJECTIVE: Treatment resistance is a challenge for the management of schizophrenia. It is not always clear whether inadequate response is secondary to medication ineffectiveness, as opposed to medication underexposure due to non-adherence or pharmacokinetic factors. We investigated the prevalence of subtherapeutic antipsychotic plasma levels in patients identified as treatment-resistant by their treating clinician. METHOD: Between January 2012 and April 2017, antipsychotic plasma levels were measured in 99 individuals provisionally diagnosed with treatment-resistant schizophrenia by their treating clinicians, but not prescribed clozapine. Patients were followed up to determine whether they were subsequently admitted to hospital. RESULTS: Thirty-five per cent of plasma levels were subtherapeutic, and of these, 34% were undetectable. Black ethnicity (P = 0.006) and lower dose (P < 0.001) were significantly associated with subtherapeutic/undetectable plasma levels. Individuals with subtherapeutic/undetectable levels were significantly more likely to be admitted to hospital (P = 0.02). CONCLUSION: A significant proportion of patients considered treatment-resistant have subtherapeutic antipsychotic plasma levels, and this is associated with subsequent admission. The presence of subtherapeutic plasma levels may suggest a need to address adherence or pharmacokinetic factors as opposed to commencing clozapine treatment. While antipsychotic levels are not recommended for the routine adjustment of dosing, they may assist with the assessment of potential treatment resistance in schizophrenia.


Subject(s)
Antipsychotic Agents/therapeutic use , Psychotic Disorders/drug therapy , Schizophrenia/drug therapy , Adult , Black or African American , Aged , Antipsychotic Agents/blood , Dose-Response Relationship, Drug , Female , Hospitalization/statistics & numerical data , Humans , Kaplan-Meier Estimate , Logistic Models , Male , Medication Adherence , Middle Aged , Pharmacokinetics , Treatment Failure , Treatment Outcome , White People , Young Adult
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