RESUMO
OBJECTIVE: COVID-19 propelled e-mental health within the Australian health system. It is important to learn from this to inform mental healthcare during future crises. METHOD: A lexical analysis was conducted of clinician reflections during COVID-19 as they delivered psychiatry services to children and families in New South Wales (n = 6) and transitioned to e-mental health. RESULTS: E-mental health can extend the reach of, and access to psychiatry services, particularly for individuals disadvantaged by inequity. Yet e-mental health can be problematic. It is partly contingent on technological prowess, equipment, internet access as well as space and privacy. Relatedly, e-mental health can hinder clinician capacity to conduct examinations, monitor child development as well as assess risk and the need for child protection. CONCLUSIONS: Given the benefits and limitations of e-mental health, a model that supports face-to-face mental healthcare and e-mental health may be of value. This model would require practical, yet flexible policies and protocols that protect the privacy of children and families, safeguard them from harm, and respect the needs and preferences of children, families and clinicians.
Assuntos
Atitude do Pessoal de Saúde , COVID-19 , Psiquiatria Infantil , Transtornos Mentais , Telemedicina , COVID-19/epidemiologia , Criança , Psiquiatria Infantil/organização & administração , Humanos , Transtornos Mentais/terapia , New South Wales/epidemiologia , Telemedicina/organização & administraçãoRESUMO
OBJECTIVE: Hospital treated deliberate self-poisoning is common in young people. Internationally, estimates of rates of depression in this population are very wide (14.6% to 88%). The aims of this study were to determine the prevalence of depression and the independent predictors of referral for psychiatric hospitalisation in young people (aged 16 to 25 years) following an index episode of hospital treated deliberate self-poisoning. METHOD: A retrospective cohort study design (n = 1410), with data drawn from a population-based clinical case register. Unadjusted and adjusted estimates of predictors of referral for psychiatric admission (after-care) used logistic regression models. RESULTS: Prevalence of any depression diagnosis was 35.5% (n = 500); and 25.4% (n = 358) were referred for a psychiatric admission. The adjusted estimates for predictors of psychiatric inpatient referral were: high suicidal level (OR 118.21: CI 95% 63.23-220.99), low/moderate suicidal level (14.27: 9.38-21.72), any depression (2.88: 1.97-4.22), any psychosis (4.06; 1.15-14.36), older age (1.12: 1.04-1.21), and number of support people (0.88: 0.78-0.98). CONCLUSION: Depression was diagnosed in more than a third and was an independent predictor of psychiatric inpatient referral, so service providers need to account for this level of need in the provision of assessment and after-care services. Evidence-based guidelines for psychiatric inpatient after-care for deliberate self-poisoning and/or depression in young people are limited. Our explanatory model included suicidal level, depression, psychosis, older age, and available support persons, suggesting that the treating clinicians were making these discharge decisions for admission in keeping with those limited guidelines, although the balance of benefits and harms of psychiatric hospitalisation are not established. Future research examining patient experiences, effectiveness of psychiatric hospitalisation, and alternatives to hospitalisation is warranted.