Background Diabetic retinopathy (DR) prevalence is higher in Indigenous Australians than in other Australians and is a major cause of vision loss. Consequently, timely screening and treatment is paramount, and annual eye screening is recommended for Indigenous Australians. Aims To assess the prevalence of DR, reduced vision and DR treatment coverage among Indigenous Australian adults with diabetes attending Top End indigenous primary care health services. Methods A cross‐sectional DR screening study conducted from November 2013 to December 2015 in two very remote Northern Territory Aboriginal primary healthcare services. Results In 287 subjects, the prevalence of non‐proliferative DR, proliferative DR and clinically significant diabetic macular oedema was 37.3%, 5.4% and 9.0% respectively. Treatment coverage for PDR was 60% (of 10 patients) and for CSMO was 17% (of 23 patients). Vision data were available from 122 participants at one site. The proportion with normal vision, reduced vision, impaired vision and blindness was 31.1%, 52.5%, 15.6% and 0.8% respectively. Overall, ungradable monocular image sets (46%) were associated with poorer quality images and missing protocol images (both P < 0.001). Ungradable images for DR were associated with presence of small pupils/media opacities (P < 0.001). Ungradable images for diabetic macular oedema were associated with poorer image quality (P < 0.001), cataracts (P < 0.001) and small pupils (P = 0.04). Conclusions A high prevalence of DR, CSMO and impaired vision was noted in Indigenous Australians with diabetes. Screening in primary care is feasible, but more effective screening methods are needed.

Objective Little is known about the epidemiology of medical emergencies occurring in the intensive care unit (ICU). The aim of this study is to draw attention to the importance of auditing emergency events in the ICU. We hypothesised that emergency events occurring in the ICU would be clustered during periods of decreased medical and nursing attention and would occur in patients who had a higher illness severity and a greater risk of death. Methods A retrospective observational cohort study was carried out in a 36-bed tertiary intensive care unit. The data capture all intensive care patients admitted to the ICU from 1 January to 1 December 2020. The number of emergency events occurring during each clock hour was correlated with ICU shift staffing patterns. In-hospital mortality and illness severity scores for patients experiencing emergency events were compared with those for all other ICU patients. Results Serious medical emergencies were most frequent during the day, specifically during the morning ICU round (30% of all such events occurred between 08:00 and 12:00 hours), and there were peaks of incidence in the hour following each nursing and medical shift handover (following shift change times at 08:00, 15:00 and 21:00 hours). Agitation-related emergency events were least frequent during the periods of nursing day shift and afternoon shift overlap (07:00–08:00 hours and 13:00–15:00 hours). Patients who experienced serious medical emergency events in the ICU had a higher in-hospital mortality rate (28.3%) compared with the overall ICU mortality of 10.5% (OR = 4.89, 95% CI: 3.04–7.86). Conclusions Patients who deteriorate suddenly in the ICU have greater illness severity and a significantly increased risk of death. The incidence of serious emergency events correlates with patterns of ICU staffing and work routines. This has implications for rostering, clinical workflow and education program design.

Introduction:The intensive care unit (ICU) offers a unique environment where emergency events are frequent, high-stakes, and carefully documented, which makes it an ideal setting to research the specific technical skills, which are deployed during such events. This study aimed to describe a method of objectively identifying skills and scenarios, which should be prioritized for inclusion in a simulation curriculum. Method: A retrospective audit of all available critical incident data (11 months) from a 36-bed tertiary ICU was performed. Code blue events were analyzed. Data were coded according to a rubric based on Le Guen and Costa-Pinto (Intern Med J. 2020;51(8):1298-1303) tallying the occurrence of common ICU scenarios and skills. Documentation of each event was analyzed. The frequency with which a skill or scenario appeared in these events was considered as "high frequency" if it occurred in more than 20% of the events. The trainees' confidence in a particular skill was assessed by means of a self-assessment survey questionnaire (based on an anchored 6-item rating scale). Results: One hundred twenty-one incidents were analyzed. Sixteen were eliminated because of insufficient documentation. The most common skills during these emergency events were familiarity with the advanced life support trolley (34% of events), electrocardiogram (ECG) rhythm strip interpretation (32.4%), and the operation of an external defibrillator (29.5%). Most trainees surveyed are preparing to undergo training in anesthesia (58%) or intensive care (28%). Specialized areas of expertise (troubleshooting an extra-corporeal membrane oxygenation (ECMO) circuit or intra-aortic balloon pump) had the lowest confidence scores (average scores of 0.81 and 0.72). Conclusions: We highlighted a novel, reproducible, and objective methodology by which critical incident data can be integrated with trainee self-assessment to generate a targeted simulation curriculum.