Using health administrative data to model associations and predict hospital admissions and length of stay for people with eating disorders.

BACKGROUND: Eating disorders are serious mental illnesses requiring a whole of health approach. Routinely collected health administrative data has clinical utility in describing associations and predicting health outcome measures. This study aims to develop models to assess the clinical utility of health administrative data in adult eating disorder emergency presentations and length of stay. METHODS: Retrospective cohort study on health administrative data in adults with eating disorders from 2014 to 2020 in Sydney Local Health District. Emergency and admitted patient data were collected with all clinically important variables available. Multivariable regression models were analysed to explore associations and to predict admissions and length of stay. RESULTS: Emergency department modelling describes some clinically important associations such as decreased odds of admission for patients with Bulimia Nervosa compared to Anorexia Nervosa (Odds Ratio [OR] 0.31, 95% Confidence Interval [95%CI] 0.10 to 0.95; p = 0.04). Admitted data included more predictors and therefore further significant associations including an average of 0.96 days increase in length of stay for each additional count of diagnosis/comorbidities (95% Confidence Interval [95% CI] 0.37 to 1.55; p = 0.001) with a valid prediction model (R2 = 0.56). CONCLUSIONS: Health administrative data has clinical utility in adult eating disorders with valid exploratory and predictive models describing associations and predicting admissions and length of stay. Utilising health administrative data this way is an efficient process for assessing impacts of multiple factors on patient care and predicting health care outcomes.

Transitioning to digital first line intervention - validation of a brief online screener for early identification of a suspected eating disorder: study protocol.

BACKGROUND: Only one in four people with eating disorders seeks treatment, and of those who do seek treatment, 20% go on to experience a chronic course. Early intervention has been associated with better prognosis, with those seeking specialised intervention in the early stages of their illness more than twice as likely to achieve remission. Current screening measures typically require expert administration and are rarely validated across a spectrum of DSM-5 eating disorder presentations or for online use. In light of COVID-19 and increasing reliance on telehealth technologies in the intervention and delivery of mental health services, online assessments suitable for self-referral are likely to be the first step to seeking care. InsideOut Institute has developed a 6-item online screening tool for the purposes of identifying eating disorder risk and symptomatology, aimed specifically at increasing help-seeking behaviour in subsyndromal and early presentations. METHODS: This study investigates the reliability and validity of the InsideOut Institute Screener (IOI-S), using a cross-sectional survey research design. Participants aged 14 and over will complete an extensive baseline survey battery for evaluation. 50% of participants will be randomly selected for one follow-up re-test of the IOI-S only, 2 weeks post initial testing. The IOI-S will be analysed for statistical reliability on two parameters: internal consistency and test re-test reliability, and for statistical validity on four parameters: concurrent validity, sensitivity and specificity, convergent and discriminant validity. DISCUSSION: The rapid and ongoing shift to digital intervention has highlighted gaps and opportunities in our pathways to care. Adequate screening for eating disorders is a major gap. This study aims to validate an online screening tool for use in telehealth early intervention, designed for users seeking information for a suspected eating disorder. The screener meets those at risk 'where they are' (i.e. online) and may improve timely referrals to relevant services. This is of particular salience as face-to-face healthcare and traditional frontline interventions are disrupted, and we are challenged to re-design our practices to deliver diagnostic and treatment services in highly adaptive digital contexts.

The impact of the COVID-19 pandemic and associated public health response on people with eating disorder symptomatology: an Australian study.

OBJECTIVE: People with lived experience of eating disorders (ED) may be particularly vulnerable to the COVID-19 pandemic and associated public health response due to exasperating situations such as social isolation, presence of other mental and physical health conditions, disruptions to treatment, etc. This study investigates the association of the pandemic with ED symptomatology to consider impact and identify risk factors for clinical consideration. METHODS: Participants with self-reported ED diagnosis and/or symptomatology over 16 years were invited to complete an online survey during the first months of the pandemic in Australia. Questions included history of ED, occurrence of co-occurring mental health conditions, change in ED symptoms since the start of the pandemic, and validated measures of ED illness, state mental health and loneliness. RESULTS: Of 1723 participants (mode age 24.9 years, 91.6% identifying as female, EDE-Q Global Score x = 4.08, SD = 1.18, 79.0% reporting co-occurring mental health condition, predominantly obsessive-compulsive disorder and/or anxiety), 88.0% reported an increase in body image concerns, 74.1% in food restriction, 66.2% binge eating and 46.8% driven exercise during the pandemic. Increased ED symptomatology was associated with poorer state mental health (i.e., depression, anxiety, and stress) and loneliness across the ED symptom profile. Most participants were negatively impacted by various aspects of the public health response, more so for those with more acute ED illness as measured by the Eating Disorder Examination Questionnaire (EDE-Q). CONCLUSIONS: Associated with the COVID-19 pandemic is a mental health crisis, particularly for those with a lived experience of an eating disorder. With 40.5% of participants not having sought formal diagnostic assessment and less than half in treatment, this study provides evidence for the detrimental impact of the pandemic on people with a lived experience of an eating disorder, especially for those not yet supported by the health care system.

This study investigates the impact of the COVID-19 pandemic and associated public health response on people with a self-reported lived experience of eating disorders across Australia. A nation-wide online survey of 1723 participants aged 16­80 years indicated eating disorders symptoms increased globally including body image concern (for 88% of participants), food restriction (74%) and binge eating (66%), especially for those reporting more acute eating disorder illness, poorer mental health (including depression, anxiety, and stress) and experience of loneliness. Albeit necessary, several pandemic experiences were identified as being particularly associated with more acute eating disorder illness such as changes in daily routine, social media reactions, restricted access to support people, and changes to treatment. As less than half of the participants were in treatment at assessment and over 40% had never sought formal diagnosis or treatment, this study highlights the prevalence of unidentified and unsupported people in the community experiencing increase eating disorder symptoms during this pandemic and the need for clinical awareness in general medical and mental health practice.

Identification of high risk and early stage eating disorders: first validation of a digital screening tool.

BACKGROUND: Eating disorders are amongst the deadliest of all mental disorders, however detection and early intervention rates remain extremely low. Current standardised screening questionnaires can be arduous or confronting and are ill-validated for online use, despite a universal shift to digital healthcare. The present study describes the development and pilot validation of a novel digital screening tool (the InsideOut Institute-Screener) for high risk and early stage eating disorders to drive early intervention and reduced morbidity. METHODS: We utilised a mixed cross-sectional and repeated measures longitudinal survey research design to assess symptom severity and recognised parameters of statistical validity. Participants were recruited through social media and traditional advertising, and through MTurk. An Eating Disorders Examination Questionnaire (EDE-Q) global score of 2.3 and assessment of eating disorder behaviours was used to determine probable ED. 1346 participants aged 14-74 (mean [SE] age 26.60 [11.14] years; 73.8% female, 22.6% male) completed the survey battery. 19% were randomised to two-week follow-up for reliability analysis. RESULTS: Strong positive correlations between the IOI-S and both the EDE-Q global (rs = .88) and SCOFF (rs = .75) total score were found, providing support for the concurrent validity of the scale. Inter-item correlations were moderate to strong (rs = .46-.73). Correlations between the IOI-S and two measures of social desirability diverged, providing support for the discriminant validity of the scale. The IOI-S demonstrated high internal consistency (α = .908, ω = .910) and excellent two-week test-retest reliability (.968, 95% CI 0.959-0.975; p ≤ 0.1). The IOI-S accurately distinguished probable eating disorders (sensitivity = 82.8%, specificity = 89.7% [AUC = .944], LR+ = 8.04, LR- = 0.19) and two stepped levels of risk. CONCLUSIONS AND RELEVANCE: The present study provides excellent initial support for the psychometric validity of the InsideOut Institute digital screening tool, which has the potential to streamline early intervention in the hopes of reducing current high morbidity and mortality. Further validation should be undertaken in known clinical populations. Eating disorders are amongst the deadliest of all mental disorders, however detection and early intervention rates remain extremely low. The present study describes the initial psychometric validation of a novel digital screening tool (the InsideOut Institute Screener) for high risk and early stage eating disorders, for self-referral and/or use in primary care. 1346 participants aged 14-74 of all genders completed a survey battery designed to assess common parameters of statistical validity. Strong support was found for the screener's ability to accurately measure eating disorder risk and symptomatology. The screener was highly positively correlated with a well known and extensively validated long form self-report questionnaire for eating disorder symptomatology. This study is a pilot validation and the genesis of a project that aims ultimately to drive early intervention leading to reduced morbidity and mortality rates in this illness group.

A catalogue of tools and variables from crisis and routine care to support decision-making about allocation of intensive care beds and ventilator treatment during pandemics: Scoping review.

PURPOSE: This scoping review sought to identify objective factors to assist clinicians and policy-makers in making consistent, objective and ethically sound decisions about resource allocation when healthcare rationing is inevitable. MATERIALS AND METHODS: Review of guidelines and tools used in ICUs, hospital wards and emergency departments on how to best allocate intensive care beds and ventilators either during routine care or developed during previous epidemics, and association with patient outcomes during and after hospitalisation. RESULTS: Eighty publications from 20 countries reporting accuracy or validity of prognostic tools/algorithms, or significant correlation between prognostic variables and clinical outcomes met our eligibility criteria: twelve pandemic guidelines/triage protocols/consensus statements, twenty-two pandemic algorithms, and 46 prognostic tools/variables from non-crisis situations. Prognostic indicators presented here can be combined to create locally-relevant triage algorithms for clinicians and policy makers deciding about allocation of ICU beds and ventilators during a pandemic. No consensus was found on the ethical issues to incorporate in the decision to admit or triage out of intensive care. CONCLUSIONS: This review provides a unique reference intended as a discussion starter for clinicians and policy makers to consider formalising an objective a locally-relevant triage consensus document that enhances confidence in decision-making during healthcare rationing of critical care and ventilator resources.