Smartphone Technology to Remotely Measure Postural Sway during Double- and Single-Leg Squats in Adults with Femoroacetabular Impingement and Those with No Hip Pain.

BACKGROUND: The COVID-19 pandemic has accelerated the demand for utilising telehealth as a major mode of healthcare delivery, with increasing interest in the use of tele-platforms for remote patient assessment. In this context, the use of smartphone technology to measure squat performance in people with and without femoroacetabular impingement (FAI) syndrome has not been reported yet. We developed a novel smartphone application, the TelePhysio app, which allows the clinician to remotely connect to the patient's device and measure their squat performance in real time using the smartphone inertial sensors. The aim of this study was to investigate the association and test-retest reliability of the TelePhysio app in measuring postural sway performance during a double-leg (DLS) and single-leg (SLS) squat task. In addition, the study investigated the ability of TelePhysio to detect differences in DLS and SLS performance between people with FAI and without hip pain. METHODS: A total of 30 healthy (nfemales = 12) young adults and 10 adults (nfemales = 2) with diagnosed FAI syndrome participated in the study. Healthy participants performed DLS and SLS on force plates in our laboratory, and remotely in their homes using the TelePhysio smartphone application. Sway measurements were compared using the centre of pressure (CoP) and smartphone inertial sensor data. A total of 10 participants with FAI (nfemales = 2) performed the squat assessments remotely. Four sway measurements in each axis (x, y, and z) were computed from the TelePhysio inertial sensors: (1) average acceleration magnitude from the mean (aam), (2) root-mean-square acceleration (rms), (3) range acceleration (r), and (4) approximate entropy (apen), with lower values indicating that the movement is more regular, repetitive, and predictable. Differences in TelePhysio squat sway data were compared between DLS and SLS, and between healthy and FAI adults, using analysis of variance with significance set at 0.05. RESULTS: The TelePhysio aam measurements on the x- and y-axes had significant large correlations with the CoP measurements (r = 0.56 and r = 0.71, respectively). The TelePhysio aam measurements demonstrated moderate to substantial between-session reliability values of 0.73 (95% CI 0.62-0.81), 0.85 (95% CI 0.79-0.91), and 0.73 (95% CI 0.62-0.82) for aamx, aamy, and aamz, respectively. The DLS of the FAI participants showed significantly lower aam and apen values in the medio-lateral direction compared to the healthy DLS, healthy SLS, and FAI SLS groups (aam = 0.13, 0.19, 0.29, and 0.29, respectively; and apen = 0.33, 0.45, 0.52, and 0.48, respectively). In the anterior-posterior direction, healthy DLS showed significantly greater aam values compared to the healthy SLS, FAI DLS, and FAI SLS groups (1.26, 0.61, 0.68, and 0.35, respectively). CONCLUSIONS: The TelePhysio app is a valid and reliable method of measuring postural control during DLS and SLS tasks. The application is capable of distinguishing performance levels between DLS and SLS tasks, and between healthy and FAI young adults. The DLS task is sufficient to distinguish the level of performance between healthy and FAI adults. This study validates the use of smartphone technology as a tele-assessment clinical tool for remote squat assessment.

Using the "Surprise Question" to Predict Frailty and Healthcare Outcomes among Older Adults Attending the Emergency Department.

The "surprise question" (SQ) predicts the need for palliative care. Its predictive validity for adverse healthcare outcomes and its association with frailty among older people attending the emergency department (ED) are unknown. We conducted a secondary analysis of a prospective study of consecutive patients aged ≥70 attending a university hospital's ED. The SQ was scored by doctors before an independent comprehensive geriatric assessment (CGA). Outcomes included length of stay (LOS), frailty determined by CGA and one-year mortality. The SQ was available for 191 patients, whose median age was 79 ± 9. In all, 56/191 (29%) screened SQ positive. SQ positive patients were frailer; the median clinical frailty score was 6/9 (compared to 4/9, p < 0.001); they had longer LOS (p = 0.008); and they had higher mortality (p < 0.001). Being SQ positive was associated with 2.6 times greater odds of admission and 8.9 times odds of frailty. After adjustment for age, sex, frailty, co-morbidity and presenting complaint, patients who were SQ positive had significantly reduced survival times (hazard ratio 5.6; 95% CI: 1.39-22.3, p = 0.015). Almost one-third of older patients attending ED were identified as SQ positive. These were frailer and more likely to be admitted, have reduced survival times and have prolonged LOS. The SQ is useful to quickly stratify older patients likely to experience poor outcomes in ED.

Mental Health Care for Rural and Remote Australians During the Coronavirus Disease 2019 Pandemic.

The aims of this article are to comment on pre-coronavirus disease 2019 (COVID-19) mental health activity in rural and remote Australia, including related air medical retrievals; to discuss how the current pandemic is likely to impact on this vulnerable population's mental health; and to provide potential solutions. The COVID-19 pandemic has resulted in significant air medical activity from rural and remote Australia. COVID-19 and the necessary public health and socioeconomic interventions are likely to significantly compound mental health problems for both the general public and the mental health workforce servicing rural and remote communities. However, the COVID-19 crisis provides a window of opportunity to develop, support, and build novel and sustainable solutions to the chronic mental health service vulnerabilities in rural and remote areas in Australia and other countries.

COVID-19 Outbreak Response for an Emergency Department Using In Situ Simulation.

In January 2020, the WHO declared COVID-19 an epidemic in China and the possibility of evolving into a pandemic. During early phases, most emergency departments did not have contingency plans for an outbreak of this scale and therefore necessitating adequate preparation. This study aims to describe the utility of in situ simulation in identifying system errors and latent safety hazards in response to preparation for the expected COVID-19 surge. We also aim to describe the corrective measures taken to improve our outbreak response locally. We hope that others may be able to use this information as foresight in preparing their own departments for this outbreak. The emergency department and anesthesiology department of Galway University Hospital conducted a series of multidisciplinary, in situ simulations to rapidly identify operational errors and latent safety hazards in response to this outbreak. Each simulation involved an interdisciplinary response to a suspected/COVID-19 patient. The cases were used as a training opportunity for staff and ultimately a platform to expeditiously implement system changes in response to deficits identified during the simulations. Conclusively, with the complexities and intricate structure of every emergency department, we understood that preparation for an outbreak requires evaluation of the current system before implementing any changes. It is not a "one size fits all" concept. Therefore, conducting in situ simulations and the use of foresight, is pivotal as it could prevent loss of resources and time in preparing for an outbreak.