Introduction We present an online decision aid to involve patients with a psychotic disorder in shared decision-making concerning the selection of antipsychotic medication. 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. Results Criteria used were: effectiveness concerning psychotic, ...
Background. Antipsychotic medications are widely prescribed for schizophrenia and other related psy...
Treatment of schizophrenia with antipsychotic drugs is frequently sub-optimal. One reason for this m...
Antipsychotic medication represents the first-line treatment for schizophrenia. While it is undisput...
Backgroundandnbsp;In medicine, algorithms can inform treatment decisions by combining the most up-to...
Background: In deciding pharmacotherapy treatment, doctors have to balance the risks and benefits o...
Background. In medicine, algorithms can inform treatment decisions by combining the most up-to-date ...
Introduction: To support clinical practice as well as clinical research, self-rating scales have bee...
International audienceBackground: Electronic prescribing devices with clinical decision support syst...
International audiencePURPOSE: The emergence of electronic prescribing devices with clinical decisio...
Background: Monitoring patients' experiences with antipsychotics may help to improve medication adhe...
A large number of currently available antipsychotic drugs are included into two main classes: tradit...
The emergence of electronic prescribing devices with clinical decision support systems (CDSS) is abl...
Background: Mental health policy makers encourage the development of electronic decision aids to inc...
Background Development of pharmaceutical interventions for schizophrenia emphasizes clinical effica...
Background. Antipsychotic medications are widely prescribed for schizophrenia and other related psy...
Treatment of schizophrenia with antipsychotic drugs is frequently sub-optimal. One reason for this m...
Antipsychotic medication represents the first-line treatment for schizophrenia. While it is undisput...
Backgroundandnbsp;In medicine, algorithms can inform treatment decisions by combining the most up-to...
Background: In deciding pharmacotherapy treatment, doctors have to balance the risks and benefits o...
Background. In medicine, algorithms can inform treatment decisions by combining the most up-to-date ...
Introduction: To support clinical practice as well as clinical research, self-rating scales have bee...
International audienceBackground: Electronic prescribing devices with clinical decision support syst...
International audiencePURPOSE: The emergence of electronic prescribing devices with clinical decisio...
Background: Monitoring patients' experiences with antipsychotics may help to improve medication adhe...
A large number of currently available antipsychotic drugs are included into two main classes: tradit...
The emergence of electronic prescribing devices with clinical decision support systems (CDSS) is abl...
Background: Mental health policy makers encourage the development of electronic decision aids to inc...
Background Development of pharmaceutical interventions for schizophrenia emphasizes clinical effica...
Background. Antipsychotic medications are widely prescribed for schizophrenia and other related psy...
Treatment of schizophrenia with antipsychotic drugs is frequently sub-optimal. One reason for this m...
Antipsychotic medication represents the first-line treatment for schizophrenia. While it is undisput...