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

Validation of the Malay Translation of Drug Attitude Inventory

INTRODUCTION

The Drug Attitude Inventory 9 (DAI-9) is a nine-item self-rated questionnaire. The questionnaire assessed positive and negative attitudes of patients toward taking medication, presence of medication side effects and perceived autonomy in treatment decision. Aim: This study aimed to validate the psychometric properties of the Malay translation of Drug Attitude Inventory 9 (MDAI-9).

METHOD

DAI-9 was translated from English to Malay via forward and backward translation process to produce MDAI-9. MDAI-9 was then validated on patients with psychosis who were attending psychiatry out-patient clinics. Results: There were 54 participants in this study. The subscale (attitude towards psychotropic medications) has a Cronbach's α of 0.93, whereas the subscale that assesses the presence of side effect problems has a Cronbach's α of 0.86. Exploratory factor analysis supported a two-factor model. Kaiser-Meyer-Olkin's measure of sampling adequacy was 0.64 and Bartlett's test of sphericity was significant (​​​​​X2   (36) = 281.8, p <0.001).

CONCLUSION

In conclusion, MDAI-9 is reliable and valid.

A realist review of medication optimisation of community dwelling service users with serious mental illness

BACKGROUND

Severe mental illness (SMI) incorporates schizophrenia, bipolar disorder, non-organic psychosis, personality disorder or any other severe and enduring mental health illness. Medication, particularly antipsychotics and mood stabilisers are the main treatment options. Medication optimisation is a hallmark of medication safety, characterised by the use of collaborative, person-centred approaches. There is very little published research describing medication optimisation with people living with SMI.

OBJECTIVE

Published literature and two stakeholder groups were employed to answer: What works for whom and in what circumstances to optimise medication use with people living with SMI in the community?

METHODS

A five-stage realist review was co-conducted with a lived experience group of individuals living with SMI and a practitioner group caring for individuals with SMI. An initial programme theory was developed. A formal literature search was conducted across eight bibliographic databases, and literature were screened for relevance to programme theory refinement. In total 60 papers contributed to the review. 42 papers were from the original database search with 18 papers identified from additional database searches and citation searches conducted based on stakeholder recommendations.

RESULTS

Our programme theory represents a continuum from a service user's initial diagnosis of SMI to therapeutic alliance development with practitioners, followed by mutual exchange of information, shared decision-making and medication optimisation. Accompanying the programme theory are 11 context-mechanism-outcome configurations that propose evidence-informed contextual factors and mechanisms that either facilitate or impede medication optimisation. Two mid-range theories highlighted in this review are supported decision-making and trust formation.

CONCLUSIONS

Supported decision-making and trust are foundational to overcoming stigma and establishing 'safety' and comfort between service users and practitioners. Avenues for future research include the influence of stigma and equity across cultural and ethnic groups with individuals with SMI; and use of trained supports, such as peer support workers.

PROSPERO REGISTRATION NUMBER

CRD42021280980.

Perceptions of nurses working in mental health services regarding the recovery-oriented care approach: Findings from Africa

BACKGROUND

The recovery-oriented care approach in mental health is recognised as the vision for mental health. People with a diagnosis of mental illness value the support and the individualistic approach emphasised in the recovery-oriented mental health care approach as they believe it facilitates their recovery. However, as a developing country, Botswana has a long way to go in availing mental health care resources to people with mental illness, let alone adopting new mental health approaches such as recovery.

AIM

The study aimed to explore the perceptions of nurses working in mental health care facilities of recovery-oriented mental health care.

METHODS

Four mental health facilities from Botswana consented to participate in the study. A descriptive qualitative approach was utilised to explore nurses' views on how they perceive recovery from mental illness. Thirty nurses participated in the focus group discussions across the four study sites. All participants consented to participate and to be recorded. Tesch's (in Qualitative enquiry and research design: Choosing among five approaches. 3th ed. SAGE, 2013:198) thematic analysis was used for this study.

RESULTS

Three main themes were identified in participants' perceptions of recovery-oriented care mental health: Recovery from mental illness is possible, the Meaning of recovery from mental illness and Factors facilitating recovery from mental illness.

PUBLIC CONTRIBUTION

The study offers a perspective into how nurses perceive recovery-oriented approaches from a developing country and add to the gap existing in recovery-oriented mental health care approach from the African context.

Antidepressant and antipsychotic side-effects and personalised prescribing: a systematic review and digital tool development

BACKGROUND

Side-effects of psychiatric medication impair quality of life and functioning. Furthermore, they contribute to morbidity, mortality, stigma, and poor treatment concordance resulting in relapse of psychiatric illness. Guidelines recommend discussing side-effects with patients when making treatment decisions, but a synthesis of antidepressant and antipsychotic side-effects to guide this process is missing, and considering all side-effects is a complex, multidimensional process. We aimed to create comprehensive databases of antipsychotic and antidepressant side-effects, and a digital tool to support database navigation.

METHODS

To create the databases, we did an umbrella review of Embase, PsycINFO, and MEDLINE from database inception to June 26, 2023. We included meta-analyses of randomised controlled trials examining antipsychotic monotherapy in the treatment of schizophrenia or antidepressant monotherapy in the treatment of major depressive disorder. We included meta-analyses in adults (aged ≥18 years) that assessed drugs with a common comparator. The search was complemented by a review of national and international guidelines and consensus statements for the treatment of major depressive disorder and schizophrenia in adults. Effect sizes for antipsychotic and antidepressant side-effects were extracted from meta-analyses examining the largest number of drugs. In cases of incomplete meta-analytic coverage, data were imputed on the basis of guideline-derived ordinal rankings or, if imputation was not possible, ordinal scores were extracted. Both meta-analytic and ordinal outcomes were normalised to provide values between 0 and 1. We then constructed a digital tool, the Psymatik Treatment Optimizer, to combine the side-effect databases with side-effect concerns of an individual user, to enable users to select side-effects of concern and the relative degree of concern for each side-effect. Concern weightings and the side-effect databases are synthesised via a multicriteria decision analysis method (technique for order of preference by similarity to ideal situation, or TOPSIS).

FINDINGS

Of 3724 citations, 14 articles containing 68 meta-analyses of individual side-effects met inclusion criteria. After review of 19 guidelines, seven provided ordinal data. Antipsychotic data were extracted from five studies (11 meta-analyses, n=65 594 patients) and four guidelines, and antidepressant data were extracted from three guidelines. The resultant databases included data on 32 antipsychotics (14 side-effects) and 37 antidepressants (nine side-effects). The databases highlighted the clinical dilemma associated with balancing side-effects, with avoidance of one side-effect (eg, weight gain for antipsychotics) increasing the risk of others (eg, akathisia). To aid with this dilemma, the Psymatik Treatment Optimizer synthesises the side-effect databases with individual user-defined concern weights. After computing up to 5851 pairwise comparisons for antidepressants and 5142 pairwise comparisons for antipsychotics, Psymatik ranks treatments in order of preference for the individual user, with the output presented in a heatmap.

INTERPRETATION

By facilitating collaborative, personalised, and evidence-based prescribing decisions, the side-effect databases and digital application supports care delivery that is consistent with international regulatory guidance for the treatment of schizophrenia and depression, and it therefore has promise for informing psychiatric practice and improving outcomes.

FUNDING

National Institute for Health and Care Research, Maudsley Charity, Wellcome Trust, Medical Research Council.

Data-Driven Taxonomy for Antipsychotic Medication: A New Classification System

BACKGROUND

Globally, there are more than 25 licensed antipsychotic medications. Antipsychotics are commonly described as either typical or atypical, but this dichotomous classification does not reflect the diversity of their pharmacological and clinical profiles. There is a need for a data-driven antipsychotic classification scheme suitable for clinicians and researchers that maps onto both pharmacological and clinical effects. Receptor affinity provides one starting point for such a scheme.

METHODS

We analyzed affinities of 27 antipsychotics for 42 receptors from 3325 in vitro receptor binding studies. We used a clustering algorithm to group antipsychotics based on receptor affinity. Using a machine learning model, we examined the ability of this grouping to predict antipsychotic-induced clinical effects quantified according to an umbrella review of clinical trial and treatment guideline data.

RESULTS

Clustering resulted in 4 groups of antipsychotics. The predominant receptor affinity and clinical effect "fingerprints" of these 4 groups were defined as follows: group 1, muscarinic (M2-M5) receptor antagonism (cholinergic and metabolic side effects); group 2, dopamine (D2) partial agonism and adrenergic antagonism (overall low side-effect burden); group 3, serotonergic and dopaminergic antagonism (overall moderate side-effect burden); and group 4, dopaminergic antagonism (extrapyramidal side effects and hyperprolactinemia). Groups 1 and 4 were more efficacious than groups 2 and 3. The classification was shown to predict out-of-sample clinical effects of individual drugs.

CONCLUSIONS

A receptor affinity-based grouping not only reflects compound pharmacology but also detects meaningful clinical differences. This approach has the potential to benefit both patients and researchers by guiding treatment and informing drug development.

The role of pharmacists in supporting service users to optimise antipsychotic medication

Pharmacists have a contribution to make in improving optimising medication use for people on antipsychotic medication. The rates of prescribing antipsychotics have increased in England with an 18% rise from 2015 to 2020. People on antipsychotic medication are not treated as equal partners in conversations about their medications. This can leave people to make decisions about their antipsychotic medications without input from their prescribers which can have significant consequences for individuals. Involving people in the decision-making process, as experts on their own condition, has the potential to improve treatment outcomes. The evidence suggests that involving pharmacists in supporting people with serious mental illnesses will lead to improved clinical outcomes. Key areas for pharmacist involvement are providing information, education and counselling on antipsychotic medication and the side effects and reducing polypharmacy especially when antipsychotics are prescribed off license.

Decision-making among adolescents prescribed antipsychotic medications: Interviews to gain perspectives of youth without psychosis or mania

OBJECTIVES

This study aimed to understand the experiences of youth who had been prescribed antipsychotics but did not have psychosis, mania, autism spectrum disorder, or developmental disability.

METHODS

Twenty-three qualitative telephone interviews were conducted with youth aged 11-18 who had been prescribed an antipsychotic medication but did not have a diagnosis of psychotic disorder, bipolar disorder, autism spectrum disorder, or developmental disability. Participants were recruited from four U.S. healthcare systems participating in the pragmatic trial Safer Use of Antipsychotics in Youth (SUAY). Interviews were recorded, transcribed and analyzed using template analysis techniques.

RESULTS

Prior to initiating an antipsychotic medication, most participants experienced behavioral health crises; many felt that they had no options other than to start the medication. Other core themes included: (1) antipsychotics had both positive psychosocial outcomes, such as improvement of family life, and adverse effects, such as drowsiness or weight gain, (2) antipsychotics were only one part of a broader treatment plan, (3) efforts were made to maximize benefits and minimize side effects through careful titration, (4) feedback from friends and family was important in the decision to continue.

CONCLUSIONS

The findings provide valuable insights into how to engage youth in conversations around the use of antipsychotics.

Informing the development of a decision aid: Expectations and wishes from service users and psychiatrists towards a decision aid for antipsychotics in the inpatient setting

OBJECTIVES

Decision aids (DAs) are promising tools to foster evidence-based shared decision-making between practitioners and service users. Nevertheless, it is still obscure how an evidence-based DA for people with severe mental illness, especially psychosis, should look in an inpatient treatment setting to be useful and feasible. Therefore, we conducted focus groups with psychiatrists and service users to collect and assess their expectations and wishes regarding an evidence-based DA. From these findings, we derived immediate recommendations for the future development of DAs.

METHODS

We held two group interviews with service users (n = 8) and three group interviews with psychiatrists (n = 10). We used an open, large-scale topic guide. First, we presented data from a current meta-analysis on antipsychotics to the interviewees and, in a second step, asked for their expectations and wishes towards a DA that integrates these data.

RESULTS

Our thematic analysis revealed six key themes addressed by the respondents: (1) general considerations on the importance and usefulness of such a DA, (2) critical comments on psychiatry and psychopharmacotherapy, (3) communicative prerequisites for the use of a DA, (4) form and content of the DA, (5) data input, data processing and output as well as (6) application of the DA and possible obstacles.

CONCLUSIONS

Participants identified several important features for the development of DAs for selecting antipsychotics in inpatient psychiatric treatment. The digital format was met with the greatest approval. Especially the adaptability to different needs, users and psychopathologies and the possibility to outsource information dissemination via app seemed to be a decisive convincing argument. Further research is required to test specific features of DAs to be developed in clinical settings.

Histone deacetylase inhibitors mitigate antipsychotic risperidone-induced motor side effects in aged mice and in a mouse model of Alzheimer's disease

Antipsychotic drugs are still widely prescribed to control various severe neuropsychiatric symptoms in the elderly and dementia patients although they are off-label use in the United States. However, clinical practice shows greater side effects and lower efficacy of antipsychotics for this vulnerable population and the mechanisms surrounding this aged-related sensitivity are not well understood. Our previous studies have shown that aging-induced epigenetic alterations may be involved in the increasing severity of typical antipsychotic haloperidol induced side effects in aged mice. Still, it is unknown if similar epigenetic mechanisms extend to atypical antipsychotics, which are most often prescribed to dementia patients combined with severe neuropsychiatric symptoms. In this study, we report that atypical antipsychotic risperidone also causes increased motor side effect behaviors in aged mice and 5xFAD mice. Histone deacetylase (HDAC) inhibitor Valproic Acid and Entinostat can mitigate the risperidone induced motor side effects. We further showed besides D2R, reduced expression of 5-HT2A, one of the primary atypical antipsychotic targets in the striatum of aged mice that are also mitigated by HDAC inhibitors. Finally, we demonstrate that specific histone acetylation mark H3K27 is hypoacetylated at the 5htr2a and Drd2 promoters in aged mice and can be reversed with HDAC inhibitors. Our work here establishes evidence for a mechanism where aging reduces expression of 5-HT2A and D2R, the key atypical antipsychotic drug targets through epigenetic alteration. HDAC inhibitors can restore 5-HT2A and D2R expression in aged mice and decrease the motor side effects in aged and 5xFAD mice.

Characteristics of adverse reactions among antipsychotic drugs using the Korean Adverse Event Reporting System database from 2010 to 2019

BACKGROUND

Retrospective studies using spontaneous reporting system databases have provided a great understanding of adverse drug reactions (ADRs) in the real world, complementing the data obtained from randomized controlled trials. However, there have been few reports on large-scale epidemiological studies on the adverse effects of antipsychotics in Asia.

AIM

This study aimed to investigate the characteristics of antipsychotic ADRs using a nationwide pharmacovigilance database.

METHODS

Data were collected from the Korea Adverse Event Reporting System database between 2010 and 2019. The study subjects were selected using the International Classification of Disease codes for diseases related to psychosis and Electronic Data Interchange codes for amisulpride, aripiprazole, clozapine, haloperidol, olanzapine, paliperidone, quetiapine, risperidone, and ziprasidone. The causality assessment of "possible," "probable," or "certain" by the World Health Organization-Uppsala Monitoring Center System causality category was selected. All data were descriptively analyzed.

RESULTS

In total, 5067 adverse events associated with antipsychotic drugs were reported. The antipsychotics that commonly resulted in ADRs were quetiapine (47.7%), olanzapine (11.3%), and clozapine (10.7%). Serious ADRs were most commonly observed with clozapine. Gastrointestinal and central nervous system problems occurred within a month when ADRs were classified according to the time of onset. In contrast, metabolic and bone marrow-related symptoms occurred after long-term use. Sedation and nausea were the most common ADRs in children and adolescents, whereas constipation and dizziness were common in adults and the elderly.

CONCLUSIONS

This study extends our knowledge of antipsychotic ADRs in the Asian population.

Monitoring of Adverse Drug Reaction-Related Parameters in Children, Youth, and Young Adults Prescribed Antipsychotic Drugs by General Practitioners

Objective: The aim of the study was to assess monitoring of adverse drug reaction (ADR)-related parameters in children, youth, and young adults treated with second-generation antipsychotic drugs (SGAs) prescribed by general practitioners (GPs). Methods: This retrospective follow-up study included children, youth, and young adults aged 0 - 24 years, who had an initial prescription of an SGA recorded in the Clinical Practice Research Datalink between 2000 and 2017, and who were prescribed an SGA more than once for a duration of at least 6 months. It included an assessment of which ADR-related physical parameters (weight, height, body-mass index, waist circumference, pulse, blood pressure, and heart examination) and laboratory parameters (glucose, HbA1c, lipids, and prolactin) were monitored in children, youth, and young adults at least once every 6-month period, stratified by sex, age categories, and calendar years. Results: In total, 7006 patients were included and the mean duration of follow-up was 1.6 years. Monitoring frequencies of all parameters were below 25%. Blood pressure and weight were monitored in 23.6% and 23.4%, respectively, of all children, youth, and young adults during the first half year; waist circumference was monitored in 0.2%. Females were monitored more often than males, some differences between age categories were observed, and monitoring frequencies increased after 2000, but did not exceed 35% in any year. Conclusion: Monitoring frequencies of ADR-related parameters in children, youth, and young adults treated with SGAs prescribed by a GP were low. Monitoring in primary care should be improved to enable a better evaluation of the benefit-risk balance during antipsychotic drug therapy.

Antipsychotic-Related Stigma and the Impact on Treatment Choices: A Systematic Review and Framework Synthesis

BACKGROUND

Antipsychotics are a class of medications primarily used to treat individuals with psychotic disorders. They have also been indicated for patients with other psychiatric conditions, such as post-traumatic stress disorder and major depressive disorder. Non-adherence is prominent amongst individuals prescribed antipsychotics, with medication-related self-stigma and social stigma identified as major factors. No previous reviews have focused on stigma associated specifically with antipsychotic medication. This systematic literature review aimed to synthesise evidence on the prevalence of stigmatising attitudes and behaviours related to antipsychotic treatment and understand their impact on antipsychotic treatment initiation and continuation.

METHODS

Two independent reviewers screened studies from databases, congress proceedings, ClinicalTrials.gov, and PsychU.org; relevant studies reported quantitative or qualitative data on antipsychotic-related stigma in adults with psychotic disorders, mood disorders, borderline personality disorder or anxiety disorders, or healthcare providers or caregivers of these patients, and any impact on treatment. Framework synthesis facilitated extraction and synthesis of relevant information; quantitative and qualitative data were coded and indexed against a pre-specified thematic framework by two independent reviewers.

RESULTS

Forty-five articles reporting on 40 unique studies were included; 22 reported quantitative data, 16 reported qualitative data, and two reported quantitative and qualitative data relating to antipsychotic-related stigma. Framework synthesis identified four themes: 1) impact of antipsychotic treatment on a) social stigma or b) self-stigma; 2) impact of side effects of antipsychotic treatment on a) social stigma or b) self-stigma; 3) impact of route of administration of antipsychotic treatment on stigma; 4) impact of stigma on the use of antipsychotics.

CONCLUSION

This systematic literature review found that antipsychotic-related social and self-stigma is a factor in non-adherence to antipsychotics. Further research should examine stigma in a wider range of patients and the extent to which clinicians' treatment decisions are impacted by the potential stigma associated with antipsychotic medications.

Shared and Supported Decision Making in Medication in a Mental Health Setting: How Far Have We Come?

Personalised care involves shared decision making (SDM) across all levels including choice in medication. However, there are a number of barriers which prevent its effective implementation in routine mental health settings. Therefore, we undertook a study to benchmark current practice across clinical services of a large urban mental health provider. The study formed part of the trust-wide 'Supported Decision Making in Medication' Co-Production Project and aims to inform future recommendations in delivering against contemporary best practice, guidance and policy. A survey exploring the views and experiences of service users and prescribers on shared and supported decision-making in medication was carried out in West London NHS Trust. Questionnaires were fully co-designed and co-delivered by a group of health professionals and individuals with lived experience. There were 100 responses from service users and 35 from prescribers. There was some good practice where both parties reported good quality conversations concerning dialogic styles, collaborative process, information provided and range of choice offered. However, prescriber's perception of their practice was not always mirrored by service user feedback whose experiences often depended upon the prescriber, the time available or the part of the service. Generally, service user experience fell short of the good practice cited by clinicians though there was noticeable variability. Commitment from organizations and increasing understanding from practitioners are vital in transforming SDM from rhetoric into reality. From our findings a further challenge is to ensure that prescribers and service users have the time, information and tools to implement it consistently.

Development of a shared decision-making tool in vitiligo: an international study

BACKGROUND

Shared decision-making tools (SDMt) are visual tools developed to promote joint medical decisions between physicians and patients. There is a paucity of such tools in dermatology.

OBJECTIVES

To develop and validate a SDMt for use in specialized consultation for vitiligo.

METHODS

A prospective cross-sectional study was carried out from March 2019 to March 2020. We first conducted a qualitative study of topics discussed by patients and clinicians during therapeutic decision-making in the setting of a specialized consultation for vitiligo using an anchored-theory method, which allowed conceptualization of the SDMt. The usefulness of the SDMt was evaluated by a working group of multidisciplinary health workers and patients with vitiligo. Consensus on the final tool was obtained through an e-Delphi method.

RESULTS

We recruited 30 patients with vitiligo for the qualitative study, which identified 91 topics related to therapeutic decision-making. Hierarchical clustering analysis confirmed the distribution of these topics in two subgroups (general treatment goals and priorities, and topics specific to each treatment). The consensus of a multidisciplinary group was used to develop the SDMt. The tool was comprised of eight A5 cards, which addressed face repigmentation; body repigmentation (limited area); body repigmentation (extended area); partial or complete depigmentation; coping with the disease; stabilization of disease; maintaining repigmentation; and disease information. Cognitive interviews confirmed the satisfaction, readability and usefulness of the SDMt. The SDMt was then translated and culturally validated in English.

CONCLUSIONS

We developed a tool for shared decision-making in nonsegmental vitiligo, which we translated and cross-culturally validated in a US patient population with vitiligo to ensure its generalizability.

Pattern classification as decision support tool in antipsychotic treatment algorithms

Pattern classification aims to establish a new approach in personalized treatment. The scope is to tailor treatment on individual characteristics during all phases of care including prevention, diagnosis, treatment, and clinical outcome. In psychotic disorders, this need results from the fact that a third of patients with psychotic symptoms do not respond to antipsychotic treatment and are described as having treatment-resistant disorders. This, in addition to the high variability of treatment responses among patients, enhances the need of applying advanced classification algorithms to identify antipsychotic treatment patterns. This review comprehensively summarizes advancements and challenges of pattern classification in antipsychotic treatment response to date and aims to introduce clinicians and researchers to the challenges of including pattern classification into antipsychotic treatment decision algorithms.

Proton Magnetic Resonance Spectroscopy of N-acetyl Aspartate in Chronic Schizophrenia, First Episode of Psychosis and High-Risk of Psychosis: A Systematic Review and Meta-Analysis

N-acetyl-aspartate (NAA) is a readily measured marker of neuronal metabolism. Previous analyses in schizophrenia have shown NAA levels are low in frontal, temporal and thalamic regions, but may be underpowered to detect effects in other regions, in high-risk states and in first episode psychosis. We searched for magnetic resonance spectroscopy studies comparing NAA in chronic schizophrenia, first episode psychosis and high risk of psychosis to controls. 182 studies were included and meta-analysed using a random-effects model for each region and illness stage. NAA levels were significantly lower than controls in the frontal lobe [Hedge's g = -0.36, p < 0.001], hippocampus [-0.52, p < 0.001], temporal lobe [-0.35, p = 0.031], thalamus [-0.32, p = 0.012] and parietal lobe [-0.25, p = 0.028] in chronic schizophrenia, and lower than controls in the frontal lobe [-0.26, p = 0.002], anterior cingulate cortex [-0.24, p = 0.016] and thalamus [-0.28, p = 0.028] in first episode psychosis. NAA was lower in high-risk of psychosis in the hippocampus [-0.20, p = 0.049]. In schizophrenia, NAA alterations appear to begin in hippocampus, frontal cortex and thalamus, and extend later to many other regions.

Improving treatment decision-making in bipolar II disorder: a phase II randomised controlled trial of an online patient decision-aid

BACKGROUND

Many patients with bipolar II disorder (BPII) prefer to be more informed and involved in their treatment decision-making than they currently are. Limited knowledge and involvement in one's treatment is also likely to compromise optimal BPII management. This Phase II RCT aimed to evaluate the acceptability, feasibility, and safety of a world-first patient decision-aid website (e-DA) to improve treatment decision-making regarding options for relapse prevention in BPII. The e-DA's potential efficacy in terms of improving quality of the decision-making process and quality of the decision made was also explored.

METHODS

The e-DA was based on International Patient Decision-Aid Standards and developed via an iterative co-design process. Adults with BPII diagnosis (n = 352) were recruited through a specialist outpatient clinical service and the social media of leading mental health organisations. Participants were randomised (1:1) to receive standard information with/without the e-DA (Intervention versus Control). At baseline (T0), post-treatment decision (T1) and at 3 months' post-decision follow-up (T2), participants completed a series of validated and purpose-designed questionnaires. Self-report and analytics data assessed the acceptability (e.g., perceived ease-of-use, usefulness; completed by Intervention participants only), safety (i.e., self-reported bipolar and/or anxiety symptoms), and feasibility of using the e-DA (% accessed). For all participants, questionnaires assessed constructs related to quality of the decision-making process (e.g., decisional conflict) and quality of the decision made (e.g., knowledge of treatment options and outcomes).

RESULTS

Intervention participants endorsed the e-DA as acceptable and feasible to use (82.1-94.6% item agreement); most self-reported using the e-DA either selectively (51.8%; relevant sections only) or thoroughly (34%). Exploratory analyses indicated the e-DA's potential efficacy to improve decision-making quality; most between-group standardised mean differences (SMD) were small-to-moderate. The largest potential effects were detected for objective treatment knowledge (- 0.69, 95% CIs - 1.04, - 0.33 at T1; and - 0.57, 95% CIs - 0.99,-0.14 at T2), decisional regret at T2 (0.42, 95% CIs 0.01, 0.84), preparation for decision-making at T1 (- 0.44, 95% CIs - 0.81, - 0.07), and the Decisional Conflict Scale Uncertainty subscale (0.42, 95% CIs 0.08, 0.08) and Total (0.36, 95% CIs 0.30, 0.69) scores, with all SMDs favouring the Intervention over the Control conditions. Regarding safety, e-DA use was not associated with worse bipolar symptoms or anxiety.

CONCLUSION

The e-DA appears to be acceptable, feasible, safe and potentially efficacious at improving patients' decision-making about BPII treatment. Findings also support the future adoption of the e-DA into patient care for BPII to foster treatment decisions based on the best available evidence and patient preferences.

TRIAL REGISTRATION

Australian New Zealand Clinical Trials Registry ACTRN12617000840381 (prospectively registered 07/06/2017).