Browsing by Author "Rees C"

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    Development and evaluation of a predictive algorithm and telehealth intervention to reduce suicidal behavior among university students.
    (Cambridge University Press, 2024-04-01) Hasking PA; Robinson K; McEvoy P; Melvin G; Bruffaerts R; Boyes ME; Auerbach RP; Hendrie D; Nock MK; Preece DA; Rees C; Kessler RC
    BACKGROUND: Suicidal behaviors are prevalent among college students; however, students remain reluctant to seek support. We developed a predictive algorithm to identify students at risk of suicidal behavior and used telehealth to reduce subsequent risk. METHODS: Data come from several waves of a prospective cohort study (2016-2022) of college students (n = 5454). All first-year students were invited to participate as volunteers. (Response rates range: 16.00-19.93%). A stepped-care approach was implemented: (i) all students received a comprehensive list of services; (ii) those reporting past 12-month suicidal ideation were directed to a safety planning application; (iii) those identified as high risk of suicidal behavior by the algorithm or reporting 12-month suicide attempt were contacted via telephone within 24-h of survey completion. Intervention focused on support/safety-planning, and referral to services for this high-risk group. RESULTS: 5454 students ranging in age from 17-36 (s.d. = 5.346) participated; 65% female. The algorithm identified 77% of students reporting subsequent suicidal behavior in the top 15% of predicted probabilities (Sensitivity = 26.26 [95% CI 17.93-36.07]; Specificity = 97.46 [95% CI 96.21-98.38], PPV = 53.06 [95% CI 40.16-65.56]; AUC range: 0.895 [95% CIs 0.872-0.917] to 0.966 [95% CIs 0.939-0.994]). High-risk students in the Intervention Cohort showed a 41.7% reduction in probability of suicidal behavior at 12-month follow-up compared to high-risk students in the Control Cohort. CONCLUSIONS: Predictive risk algorithms embedded into universal screening, coupled with telehealth intervention, offer significant potential as a suicide prevention approach for students.
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    Mindful Self-Care and Resiliency (MSCR): protocol for a pilot trial of a brief mindfulness intervention to promote occupational resilience in rural general practitioners
    (BMJ Publishing Group Ltd, 2018-06-30) Rees C; Craigie M; Slatyer S; Heritage B; Harvey C; Brough P; Hegney D
    Introduction The Mindful Self-Care and Resiliency (MSCR) programme is a brief psychosocial intervention designed to promote resilience among various occupational groups. The intervention is based on the principles of mindfulness and also incorporates an educational self-care component. The current paper presents the protocol for a pilot study that will evaluate the effectiveness of this programme among general practitioners working in rural Queensland, Australia. Methods and analysis We will measure the impact of the MSCR programme on levels of employee resilience (Connor-Davidson Resilience Scale; State-Trait Assessment of Resilience STARS), compassion satisfaction and compassion fatigue (Professional Quality of Life Scale), self-compassion (Self-Compassion Scale) and mood (Positive and Negative Affect Scale). We will also assess the impact of the programme on job satisfaction (The Abridged Job in General Scale), absenteeism/presenteeism (The WHO Health and Work Performance Questionnaire) and general well-being (WHO Five Well-being Index). Repeated measures analysis of variance will be used to analyse the impact of the intervention on the outcome measures taken at pre, post, 1-month, 3-month and 6-month follow-ups. We will conduct individual interviews with participants to gather data on the feasibility and acceptability of the programme. Finally, we will conduct an initial cost-effectiveness analysis of the programme. Ethics and dissemination Approval for this study was obtained from the Curtin University Human Research ethics committee and the study has been registered with the Australian Clinical Trials Registry. Results will be published and presented at national and international congresses. Trial registration number ACTRN12617001479392p; Pre-results.