Implementation of risk assessment tools in psychiatric services.

Violence remains a major risk management concern in psychiatric services with implications on the safety and well-being of patients, staff, and the public. Serious physical and psychological consequences of violence involving property damage, bodily injuries, and threat to life have been reported in mental health services. Risk assessment tools are important safeguard measures; however, research on clinical implementation is presently limited. Structured professional judgment (SPJ) risk management tools that incorporate professional discretion with analytical understanding of evidence-based risk factors are widely accepted for risk assessment. However, clinical utility is suboptimal due to several barriers, including those related to the tool, the clinical setting, and resistance from health professionals. To better understand the challenges militating against optimal implementation of risk assessment tools, we reviewed and presented some lessons from the implementation of clinical practice guidelines on a general scale and our experience implementing an SPJ tool called Hamilton Anatomy of Risk Management across a variety of psychiatric services. In summary, the clinical utility of risk assessment tools improves if the tool is psychometrically sound, concise, consensus rated, time efficient, and practical for planning risk management. User feedbacks on the tool utility are also important to sustain implementation.

Investigating service features to sustain engagement in early intervention mental health services.

AIM: To understand what service features would sustain patient engagement in early intervention mental health treatment. METHODS: Mental health patients, family members of individuals with mental illness and mental health professionals completed a survey consisting of 18 choice tasks that involved 14 different service attributes. Preferences were ascertained using importance and utility scores. Latent class analysis revealed segments characterized by distinct preferences. Simulations were carried out to estimate utilization of hypothetical clinical services. RESULTS: Overall, 333 patients and family members and 183 professionals (N = 516) participated. Respondents were distributed between a Professional segment (53%) and a Patient segment (47%) that differed in a number of their preferences including for appointment times, individual vs group sessions and mode of after-hours support. Members of both segments shared preferences for many of the service attributes including having crisis support available 24 h per day, having a choice of different treatment modalities, being offered help for substance use problems and having a focus on improving symptoms rather than functioning. Simulations predicted that 60% of the Patient segment thought patients would remain engaged with a Hospital service, while 69% of the Professional segment thought patients would be most likely to remain engaged with an E-Health service. CONCLUSIONS: Patients, family members and professionals shared a number of preferences about what service characteristics will optimize patient engagement in early intervention services but diverged on others. Providing effective crisis support as well as a range of treatment options should be prioritized in the future design of early intervention services.

Modeling the mental health service utilization decisions of university undergraduates: A discrete choice conjoint experiment.

OBJECTIVE: We modeled design factors influencing the intent to use a university mental health service. PARTICIPANTS: Between November 2012 and October 2014, 909 undergraduates participated. METHOD: Using a discrete choice experiment, participants chose between hypothetical campus mental health services. RESULTS: Latent class analysis identified three segments. A Psychological/Psychiatric Service segment (45.5%) was most likely to contact campus health services delivered by psychologists or psychiatrists. An Alternative Service segment (39.3%) preferred to talk to peer-counselors who had experienced mental health problems. A Hesitant segment (15.2%) reported greater distress but seemed less intent on seeking help. They preferred services delivered by psychologists or psychiatrists. Simulations predicted that, rather than waiting for standard counseling, the Alternative Service segment would prefer immediate access to E-Mental health. The Usual Care and Hesitant segments would wait 6 months for standard counseling. CONCLUSIONS: E-Mental Health options could engage students who may not wait for standard services.

Preferences for Early Intervention Mental Health Services: A Discrete-Choice Conjoint Experiment.

OBJECTIVE: Early intervention services (EISs) for mental illness may improve outcomes, although treatment engagement is often a problem. Incorporating patients' preferences in the design of interventions improves engagement. A discrete-choice conjoint experiment was conducted in Canada to identify EIS attributes that encourage treatment initiation. METHODS: Sixteen four-level attributes were formalized into a conjoint survey, completed by patients, family members, and mental health professionals (N=562). Participants were asked which EIS option people with mental illness would contact. Latent-class analysis identified respondent classes characterized by shared preferences. Randomized first-choice simulations predicted which hypothetical options, based on attributes, would result in maximum utilization. RESULTS: Participants in the conventional-service class (N=241, 43%) predicted that individuals would contact traditional services (for example, hospital location and staffed by psychologists or psychiatrists). Membership was associated with being a patient or family member and being male. Participants in the convenient-service class (N=321, 57%) predicted that people would contact services promoting easy access (for example, self-referral and access from home). Membership was associated with being a professional. Both classes predicted that people would contact services that included short wait times, direct contact with professionals, patient autonomy, and psychological treatment information. The convenient-service class predicted that people would use an e-health model, whereas the conventional-service class predicted that people would use a primary care or clinic-hospital model. CONCLUSIONS: Provision of a range of services may maximize EIS use. Professionals may be more apt to adopt EISs in line with their beliefs regarding patient preferences. Considering several perspectives is important for service design.

Specialized home treatment versus hospital-based outpatient treatment for first-episode psychosis: a randomized clinical trial.

OBJECTIVE: This pilot study compared the effectiveness of specialized care that was home based versus hospital based for individuals experiencing their first psychotic episode. METHOD: A randomized controlled trial design was used. A total of 29 subjects were interviewed at baseline, 3 and 9 months. Repeated measures analysis of variance was employed to test for statistically significant changes over time within and between groups with regard to community psychosocial functioning and symptom severity. RESULTS: Our findings indicate that subjects in both the home-based and hospital-based programmes significantly improved with regard to symptoms and community functioning over time. However, the rates of change over time were not significantly different between the two programmes. There was a statistically significant difference between programmes with regard to the proportion of subjects with less than two visits (i.e. either did not attend their first assessment or attended follow-up visits after their assessment). CONCLUSIONS: This was a modest pilot study and the sample was too small to allow definitive conclusions to be drawn. However, the results raise questions about differences in initial treatment engagement. They suggest the need for additional research focusing on interventions that promote initial treatment seeking.

Strategies to enhance patient recruitment and retention in research involving patients with a first episode of mental illness.

Recruitment and retention of research participants is often the most labor-intensive and difficult component of clinical trials. Poor recruitment and retention frequently pose as a major barrier in the successful completion of clinical trials. In fact, many studies are prematurely terminated, or their findings questioned due to low recruitment and retention rates. The conduct of clinical trials involving youth with a first episode of mental illness comes with additional challenges in recruitment and retention including barriers associated with engagement and family involvement. To develop effective early interventions for first episode mental illness, it is necessary to develop strategies to enhance recruitment and retention in this patient population. This article presents the recruitment and retention challenges experienced in two clinical trials: one involving participants experiencing a first episode of depression and one involving participants experiencing a first episode psychosis. Challenges with recruitment and retention are identified and reviewed at both the patient level and clinician level. Strategies that were implemented to enhance recruitment and retention in these two studies are also discussed. Finally, ethical issues to consider when implementing these strategies are also highlighted.

Early detection of psychosis: finding those at clinical high risk.

AIM: In early detection work, recruiting individuals who meet the prodromal criteria is difficult. The aim of this paper was to describe the development of a research clinic for individuals who appear to be at risk of developing a psychosis and the process for educating the community and obtaining referrals. METHODS: The outcome of all referrals to the clinic over a 4-year period was examined. RESULTS: Following an ongoing education campaign that was over inclusive in order to aid recruitment, approximately 27% of all referrals met the criteria for being at clinical high risk of psychosis. CONCLUSIONS: We are seeing only a small proportion of those in the community who eventually go on to develop a psychotic illness. This raises two important issues, namely how to remedy the situation, and second, the impact of this on current research in terms of sampling bias and generalizability of research findings.

Treatment response to olanzapine and haloperidol and its association with dopamine D receptor occupancy in first-episode psychosis.

OBJECTIVE: Response to typical antipsychotic medication has been associated with achieving a level of striatal dopamine D2 receptor occupancy in the range of 65% to 70%. We undertook this study to determine whether response to the atypical antipsychotic olanzapine occurs at lower levels of D2 receptor occupancy. METHOD: Eighteen patients who presented with a first episode of psychosis were randomized to receive olanzapine 5 mg daily or haloperidol 2 mg daily in a double-blind design. We acquired positron emission tomography (PET) scans using the D2 ligand [11C]raclopride within the first 15 days of treatment to determine the percentage of D2 receptors occupied by the medication. According to response, dosage was then adjusted to a maximum dosage of 20 mg daily of either drug. PET scans were repeated after 10 to 12 weeks of treatment. RESULTS: At the first PET scan, the 8 olanzapine-treated patients had significantly lower D2 receptor occupancies (mean 63.4%, SD 7.3) than those observed in the 10 patients treated with haloperidol (mean 73.0%, SD 6.1). When patients were rescanned following dosage adjustment, mean D2 receptor occupancies were greater than 70% in both groups. D2 receptor occupancies did not differ significantly between the olanzapine-treated group (mean 72.0%, SD 5.7) and the haloperidol-treated group (mean 78.7%, SD 7.6). CONCLUSIONS: These results suggest that, in patients being treated for a first episode of psychosis, olanzapine has its antipsychotic effect at approximately the same levels of D2 receptor occupancy as are achieved with low dosages of haloperidol.