Computerized Conjoint Analysis of the Weight Treatment Preferences of Individuals With Schizophrenia.

OBJECTIVE: Innovative approaches are needed for assessing treatment preferences of individuals with schizophrenia. Conjoint analysis methods may help to identify preferences, but the usability and validity of these methods for individuals with schizophrenia remain unclear. This study examined computerized conjoint analysis for persons with schizophrenia and whether preferences for weight management programs predict service use. METHODS: A computerized, patient-facing conjoint analysis system was developed through iterative consultation with 35 individuals with schizophrenia enrolled at a community mental health clinic. An additional 35 overweight participants with schizophrenia then used the system to choose among psychosocial weight management programs varying in four attributes: location (community or clinic), delivery mode (Internet or in person), leader (clinician or layperson), and training mode (individual or group). A multilevel logit model with partial preference data determined contributions of each attribute to groupwide preferences. Associations were studied between preferences and use of a psychosocial weight management group. RESULTS: Conjoint analysis system usability was rated highly. Groupwide preferences were significantly influenced by location (p<0.001; clinic was preferred), leader (p=0.02; clinician was preferred), and training mode (p<0.001; group was preferred) but not delivery mode (p=0.68). Preferences did not correlate with age, gender, body mass index, illness severity, or subsequent program use. Participants described barriers to program attendance, including transportation, scheduling, privacy, psychiatric illness, and lack of motivation. CONCLUSIONS: Computerized conjoint analysis can produce valid assessments of treatment preferences of persons with schizophrenia and inform treatment development and implementation. Although preferences may affect treatment use, they are one of multiple factors.

Mobile Phone and Smartphone Use by People With Serious Mental Illness.

OBJECTIVE: Mobile technologies, such as smartphones, can improve health services by delivering assessments and interventions that reach people in their daily lives. There is, however, disagreement regarding whether people with serious mental illness make meaningful use of mobile technology and whether interventions that rely on mobile technology should be tailored for this population. METHODS: At two clinics, 249 people with serious mental illness were interviewed regarding mobile phone use, and their cognitive functioning was assessed. RESULTS: Mobile phones were used by 86% of participants, including 60% who used a smartphone. Phones were used for messaging by 81%, Internet by 52%, e-mail by 46%, and applications by 45%. Individuals who were older, had a persistent psychotic disorder rather than bipolar disorder, received disability income, or had worse neurocognitive functioning were less likely to own a smartphone (χ2=52.7, p<0.001). CONCLUSIONS: Most patients with serious mental illness owned a mobile phone; a majority owned a smartphone. Developers should consider tailoring mobile interventions for psychosis and cognitive deficits.

Improving Weight in People with Serious Mental Illness: The Effectiveness of Computerized Services with Peer Coaches.

BACKGROUND: People with serious mental illness have high rates of obesity and related medical problems, and die years prematurely, most commonly from cardiovascular disease. Specialized, in-person weight management interventions result in weight loss in efficacy trials with highly motivated patients. In usual care, patient enrollment and retention are low with these interventions, and effectiveness has been inconsistent. OBJECTIVE: To determine whether computerized provision of weight management with peer coaching is feasible to deliver, is acceptable to patients, and is more effective than in-person delivery or usual care. DESIGN: Mixed-methods randomized controlled trial. PARTICIPANTS: Two hundred seventy-six overweight patients with serious mental illness receiving care at a Veterans Administration medical center. INTERVENTIONS: Patients were randomized to 1) computerized weight management with peer coaching (WebMOVE), 2) in-person clinician-led weight services, or 3) usual care. Both active interventions offered the same educational content. MAIN MEASURES: Body mass index; and feasibility and acceptability of the intervention. KEY RESULTS: At 6 months, in obese patients (n = 200), there was a significant condition by visit effect (F = 4.02, p = 0.02). The WebMOVE group had an average estimated BMI change from baseline to 6 months of 34.9 ± 0.4 to 34.1 ± 0.4. This corresponds to 2.8 kg (6.2 lbs) weight loss (t = 3.2, p = 0.001). No significant change in BMI was seen with either in-person services (t = 0.10, p = 0.92), or usual care (t = -0.25, p = 0.80). The average percentage of modules completed in the WebMOVE group was 49% and in the in-person group was 41% (t = 1.4, p = 0.17). When non-obese patients were included in the analyses, there was a trend towards a condition by visit effect (F = 2.8, p = 0.06). WebMOVE was well received, while the acceptability of in-person services was mixed. CONCLUSIONS: Computerized weight management with peer support results in lower weight, and can have greater effectiveness than clinician-led in-person services. This intervention is well received, and could be feasible to disseminate.

The feasibility of computerized patient self-assessment at mental health clinics.

OBJECTIVES: Improving the quality of care for severe mental illness (SMI) has been difficult because patients' clinical information is not readily available. Audio computer-assisted self-interviewing (ACASI) supports data collection by asking patients waiting for appointments clinical questions visually and aurally. It has improved outcomes for many disorders. While reliable and accurate for SMI in research settings, this study assesses questions about ACASI's feasibility in usual care. DESIGN: Patient and provider surveys and provider focus groups after 12 months of ACASI implementation. SETTING: Two outpatient mental health clinics in Los Angeles, one run by the Department of Veterans Affairs and the other by Los Angeles County Department of Mental Health. PARTICIPANTS: 266 patients with SMI and 14 psychiatrists. INTERVENTION: Patients completed an ACASI survey on symptoms, drug use, medication adherence and side-effects by internet using a touch-screen monitor. A 1-page report summarizing each patient's results was printed and given to providers by patients during appointments. MAIN OUTCOME MEASURE: Feedback surveys (patients and psychiatrists) and focus groups and interviews (psychiatrists) assessed usability, usefulness, effects on treatment, and barriers to sustaining ACASI. RESULTS: Patients believed the PAS was enjoyable, easy to learn and use, and that it improved communication with their psychiatrists. Providers believed the PAS was easy to use, had a small impact on care, could be improved by being more detailed and comprehensive, and requires outside support to continue its use. CONCLUSIONS: ACASI was easy to use and enhanced communication. Systems like this can be a valuable part of quality improvement projects.