Intensive case management for high-risk patients with first-episode psychosis: service model and outcomes

Background : The first episode of psychosis is a crucial period when early intervention can alter the trajectory of the young person's ongoing mental health and general functioning. After an investigation into completed suicides in the Early Psychosis Prevention and Intervention Centre (EPPIC) programme, the intensive case management subprogramme was developed in 2003 to provide assertive outreach to young people having a first episode of psychosis who are at high risk owing to risk to self or others, disengagement, or suboptimal recovery. We report intensive case management model development, characterise the target cohort, and report on outcomes compared with EPPIC treatment as usual.

Methods : Inclusion criteria, staff support, referral pathways, clinical review processes, models of engagement and care, and risk management protocols are described. We compared 120 consecutive referrals with 50 EPPIC treatment as usual patients (age 15–24 years) in a naturalistic stratified quasi-experimental real-world design. Key performance indicators of service use plus engagement and suicide attempts were compared between EPPIC treatment as usual and intensive case management, and psychosocial and clinical measures were compared between intensive case management referral and discharge.

Findings : Referrals were predominately unemployed males with low levels of functioning and educational attainment. They were characterised by a family history of mental illness, migration and early separation, with substantial trauma, history of violence, and forensic attention. Intensive case management improved psychopathology and psychosocial outcomes in high-risk patients and reduced risk ratings, admissions, bed days, and crisis contacts.

Interpretation : Characterisation of intensive case management patients validated the clinical research focus and identified a first episode of psychosis high-risk subgroup. In a real-world study, implementation of an intensive case management stream within a well-established first episode of psychosis service showed significant improvement in key service outcomes. Further analysis is needed to determine cost savings and effects on psychosocial outcomes. Targeting intensive case management services to high-risk patients with unmet needs should reduce the distress associated with pathways to care for patients, their families, and the community.

Does self-efficacy mediate the cross-sectional relationship between perceived quality of health care and self-management of diabetes? Results from Diabetes MILES - Australia

OBJECTIVE: Quality of health care (QoC) and self-efficacy may affect self-management of diabetes, but such effects are not well understood. We examined the indirect role of diabetes-specific self-efficacy (DSE) and generalised self-efficacy (GSE) in mediating the cross-sectional relationship between self-reported QoC and diabetes self-management.

DESIGN: Diabetes MILES-Australia was a national survey of 3,338 adults with diabetes. We analysed data from 1,624 respondents (Age: M=52.1, SD=13.9) with type 1 (T1D; n=680) or type 2 diabetes (T2D; n=944), who responded to a version of the survey containing key measures.

MAIN OUTCOME MEASURES: Self-reported healthy eating, physical activity, self-monitoring of blood glucose frequency, HbA1c, medication/insulin adherence. RESULTS: We used Preacher and Hayes' bootstrapping method, controlling for age, gender and diabetes duration, to test mediation of DSE and GSE on the relationship of QoC with each self-management variable. We found statistically significant but trivial mediation effects of DSE and of GSE on most, but not all, variables (all effect sizes <0.06).

CONCLUSION: Support for mediation was weak, suggesting that relationships amongst these variables are small and that future research might explore other aspects of self-management in diabetes.

iPrevent®: a tailored, web-based, decision support tool for breast cancer risk assessment and management

We aimed to develop a user-centered, web-based, decision support tool for breast cancer risk assessment and personalized risk management. Using a novel model choice algorithm, iPrevent(®) selects one of two validated breast cancer risk estimation models (IBIS or BOADICEA), based on risk factor data entered by the user. Resulting risk estimates are presented in simple language and graphic formats for easy comprehension. iPrevent(®) then presents risk-adapted, evidence-based, guideline-endorsed management options. Development was an iterative process with regular feedback from multidisciplinary experts and consumers. To verify iPrevent(®), risk factor data for 127 cases derived from the Australian Breast Cancer Family Study were entered into iPrevent(®), IBIS (v7.02), and BOADICEA (v3.0). Consistency of the model chosen by iPrevent(®) (i.e., IBIS or BOADICEA) with the programmed iPrevent(®) model choice algorithm was assessed. Estimated breast cancer risks from iPrevent(®) were compared with those attained directly from the chosen risk assessment model (IBIS or BOADICEA). Risk management interventions displayed by iPrevent(®) were assessed for appropriateness. Risk estimation model choice was 100 % consistent with the programmed iPrevent(®) logic. Discrepant 10-year and residual lifetime risk estimates of >1 % were found for 1 and 4 cases, respectively, none was clinically significant (maximal variation 1.4 %). Risk management interventions suggested by iPrevent(®) were 100 % appropriate. iPrevent(®) successfully integrates the IBIS and BOADICEA risk assessment models into a decision support tool that provides evidence-based, risk-adapted risk management advice. This may help to facilitate precision breast cancer prevention discussions between women and their healthcare providers.

The e-learning cycle and continuous improvement for e-entrepreneurs

The purpose of this paper is to explore the integration of learning, continuous improvement and innovation theories as a basis for enhancing the education of e-entrepreneurs. Conceptual development of emerging interdisciplinary literature is combined with example analysis to develop the Circle of E-learning uniquely augmented by hermeneutics, action research and the creative destruction cycle of innovation using applied examples of e-entrepreneurship. Four R's are discussed in the Circle of E-learning; Review, Revise, Reconstruct, and Reveal. Observations for each of the 4R's are made regarding continuous improvement of the education of e-entrepreneurs. Findings are that the procedural pivot points indicated by the 4R's can be helpful for administrators and educators to improve operations and outcomes in management and professional development situations.

Quality testing and product rationing by input suppliers

Quality testing by suppliers has significant ramifications for downstream supply chain participants and retail consumers. This article focuses on such implications accounting for the fact that suppliers often enjoy discretion in quality testing and reporting. Under a discretionary testing and reporting environment, we show that a supplier can improve the market's perception of product quality by engaging in self-imposed production cuts. Production cuts dampen supplier incentives to engage in excessive quality testing, putting the supplier and the market on a more equal information footing. This reduces the market's need to skeptically discount product quality to protect itself. The improved market perception, then, reduces quality testing demand, introducing cost savings. The result that costly production cuts can improve quality perceptions indicates that the groundwork for influencing market perceptions may have to be laid upfront, even prior to acquiring private information, providing a contrast to routine signaling models.