How doctors can lead the way in their communities: Co-creation, the Indian community and organ donation registration.

BACKGROUND AND AIMS: Transplant success rates can increase when organs and tissues are matched within ethnic communities, but how well are the processes around organ donation understood by discrete ethnic communities in Australia? We investigated this in relation to one ethnic group, the Australian-Indian community in Sydney. METHODS: A culturally appropriate survey and dissemination strategy was co-created with Indian community members through an Advisory Panel. Items were informed by a thematic analysis of cultural beliefs shared through the advisory panel discussions and measured awareness and practices associated with organ donation and transplantation and beliefs about organ donation and registration. Donation information was provided at the end. RESULTS: Two hundred and thirty-eight participants completed the survey. Hinduism along with Tamil and Gujarati were the most frequently identified religious and cultural backgrounds. The processes around organ donation were not well known, and Australian Organ Donor Register registration rates were below the national average. Principal component analysis revealed positive, social, medical trust, concerns, and cardiac and brain death belief factors. Doctors played a key role in generating trust in the donation system, decisions about organ donation were embedded in family and community, and family discussion was related to increased registration. Registered participants reported higher scores on medical trust beliefs, which also predicted family discussion. CONCLUSION: The information needed to understand the process of organ donation and registration in Australia is not embedded in this community, highlighting the need for programmes to be tailored to each culturally diverse community rather than culturally diverse communites in general. Doctors and the advisory panels are pivotal in this process.

QCNN_BaOpt: Multi-Dimensional Data-Based Traffic-Volume Prediction in Cyber-Physical Systems.

The rapid growth of industry and the economy has contributed to a tremendous increase in traffic in all urban areas. People face the problem of traffic congestion frequently in their day-to-day life. To alleviate congestion and provide traffic guidance and control, several types of research have been carried out in the past to develop suitable computational models for short- and long-term traffic. This study developed an effective multi-dimensional dataset-based model in cyber-physical systems for more accurate traffic-volume prediction. The integration of quantum convolutional neural network and Bayesian optimization (QCNN_BaOpt) constituted the proposed model in this study. Furthermore, optimal tuning of hyperparameters was carried out using Bayesian optimization. The constructed model was evaluated using the US accident dataset records available in Kaggle, which comprise 1.5 million records. The dataset consists of 47 attributes describing spatial and temporal behavior, accidents, and weather characteristics. The efficiency of the proposed model was evaluated by calculating various metrics. The performance of the proposed model was assessed as having an accuracy of 99.3%. Furthermore, the proposed model was compared against the existing state-of-the-art models to demonstrate its superiority.

Pressure injury prevalence in Australian intensive care units: A secondary analysis.

BACKGROUND: Pressure injuries (PIs) are an enduring problem for patients in the intensive care unit (ICU) because of their vulnerability and numerous risk factors. METHOD: This study reports Australian data as a subset of data from an international 1-day point prevalence study of ICU-acquired PI in adult patients. Patients aged 18 years or older and admitted to the ICU on the study day were included. The outcome measure was the identification of a PI by direct visual skin assessment on the study day. Data collected included demographic data and clinical risk factors, PI location and stage, and PI prevention strategies used. Descriptive statistics were used to describe PI characteristics, and odds ratios (ORs) were used to identify factors associated with the development of a PI. RESULTS: Data were collected from 288 patients from 16 Australian ICUs. ICU-acquired PI prevalence was 9.7%, with 40 PIs identified on 28 patients. Most PIs were of stage 1 and stage 2 (26/40, 65.0%). Half of the ICU-acquired PIs were found on the head and face. The odds of developing an ICU-acquired PI increased significantly with renal replacement therapy (OR: 4.25, 95% confidence interval [CI]: 1.49-12.11), impaired mobility (OR: 3.13, 95% CI: 1.08-9.12), fastest respiratory rate (OR: 1.05 [per breath per minute], 95% CI: 1.00-1.10), longer stay in the ICU (OR: 1.04 [per day], 95% CI: 1.01-1.06), and mechanical ventilation on admission (OR: 0.36, CI: 0.14-0.91). CONCLUSION: This study found that Australian ICU-acquired PI prevalence was 9.7% and these PIs were associated with many risk factors. Targeted PI prevention strategies should be incorporated into routine prevention approaches to reduce the burden of PIs in the Australian adult ICU patient population.

A Survey of Clinicians Regarding Goals of Care for Patients with Severe Comorbid Illnesses Hospitalized for an Acute Deterioration.

Background: Patients with terminal illnesses hospitalized with acute deteriorations often suffer from unnecessary/inappropriate therapies at the end of their lives. Appropriate advance care planning (ACP) practices aligned to patients' goals of care may mitigate this. Materials and methods: To explore the rationale for clinical decision-making in hospitalized patients with terminal illnesses and formulate a practice pathway to streamline care. Between May and December 2018, a questionnaire survey with three case vignettes derived from intensive care unit (ICU) patients was emailed to ICU, respiratory and renal doctors, and nurses in two Sydney hospitals. Respondents chose various management options ranging from all active therapies to palliation. The primary outcome was the proportion of responses for each management option. With these and a thematic analysis of responses to identify barriers to ACP practice, a practice pathway was formulated. Results: Of the 310 invited clinicians, 178 responded (57.4%). About 89.2% of respondents reported caring for dying patients frequently. Sixty percent saw patients suffering from prolonged therapies. Most respondents deemed patients in the case vignettes to be terminally ill, warranting ACP discussions. However, many still wanted to treat the acute deterioration with active ICU-level interventions. Most respondents reported being comfortable in having ACP discussions. Conclusion: The survey showed discordance between the stated opinions and the choice of management options for terminally ill patients with acute deteriorations; possibly due to the lack of a considered approach in choosing management options that align with medical consensus and the patient's/family's wishes, a practice pathway is suggested to improve management. How to cite this article: Sarangi RK, Rajamani A, Lakshmanan R, Srinivasan S, Arvind H. A Survey of Clinicians Regarding Goals of Care for Patients with Severe Comorbid Illnesses Hospitalized for an Acute Deterioration. Indian J Crit Care Med 2022;26(4):457-463.

Frailty, delirium and hospital mortality of older adults admitted to intensive care: the Delirium (Deli) in ICU study.

BACKGROUND: Clinical frailty among older adults admitted to intensive care has been proposed as an important determinant of patient outcomes. Among this group of patients, an acute episode of delirium is also common, but its relationship to frailty and increased risk of mortality has not been extensively explored. Therefore, the aim of this study was to explore the relationship between clinical frailty, delirium and hospital mortality of older adults admitted to intensive care. METHODS: This study is part of a Delirium in Intensive Care (Deli) Study. During the initial 6-month baseline period, clinical frailty status on admission to intensive care, among adults aged 50 years or more; acute episodes of delirium; and the outcomes of intensive care and hospital stay were explored. RESULTS: During the 6-month baseline period, 997 patients, aged 50 years or more, were included in this study. The average age was 71 years (IQR, 63-79); 55% were male (n = 537). Among these patients, 39.2% (95% CI 36.1-42.3%, n = 396) had a Clinical Frailty Score (CFS) of 5 or more, and 13.0% (n = 127) had at least one acute episode of delirium. Frail patients were at greater risk of an episode of delirium (17% versus 10%, adjusted rate ratio (adjRR) = 1.71, 95% confidence interval (CI) 1.20-2.43, p = 0.003), had a longer hospital stay (2.6 days, 95% CI 1-7 days, p = 0.009) and had a higher risk of hospital mortality (19% versus 7%, adjRR = 2.54, 95% CI 1.72-3.75, p < 0.001), when compared to non-frail patients. Patients who were frail and experienced an acute episode of delirium in the intensive care had a 35% rate of hospital mortality versus 10% among non-frail patients who also experienced delirium in the ICU. CONCLUSION: Frailty and delirium significantly increase the risk of hospital mortality. Therefore, it is important to identify patients who are frail and institute measures to reduce the risk of adverse events in the ICU such as delirium and, importantly, to discuss these issues in an open and empathetic way with the patient and their families.

Impact of Critical Care Point-of-Care Ultrasound Short-Courses on Trainee Competence.

OBJECTIVES: Competence in point-of-care ultrasound is recommended/mandated by several critical care specialties. Although doctors commonly attend point-of-care ultrasound short-courses for introductory training, there is little follow-up data on whether they eventually attain competence. This study was done to determine the impact of point-of-care ultrasound short-courses on point-of-care ultrasound competence. DESIGN: Web-based survey. SETTING: Follow-up after point-of-care ultrasound short-courses in the Asia-Pacific region. SUBJECTS: Doctors who attended a point-of-care ultrasound short-course between December 2015 and February 2018. INTERVENTIONS: Each subject was emailed a questionnaire on or after 6 months following their short-course. They were asked if they had performed at least 30 structured point-of-care ultrasound scans and/or reached point-of-care ultrasound competence and their perceived reasons/challenges/barriers. They were also asked if they used point-of-care ultrasound as a clinical diagnostic aid. MEASUREMENTS AND MAIN RESULTS: The response rate was 74.9% (182/243). Among the 182 respondents, only 12 (6.6%) had attained competence in their chosen point-of-care ultrasound modality, attributing their success to self-motivation and time management. For the remaining doctors who did not attain competence (170/182, 93.4%), the common reasons were lack of time, change of priorities, and less commonly, difficulties in accessing an ultrasound machine/supervisor. Common suggestions to improve short-courses included requests for scanning practice on acutely ill ICU patients and prior information on the challenges regarding point-of-care ultrasound competence. Suggestions to improve competence pathways included regular supervision and protected learning time. All 12 credentialled doctors regularly used point-of-care ultrasound as a clinical diagnostic aid. Of the 170 noncredentialled doctors, 123 (72.4%) reported performing unsupervised point-of-care ultrasound for clinical management, either sporadically (42/170, 24.7%) or regularly (81/170, 47.7%). CONCLUSIONS: In this survey of doctors attending point-of-care ultrasound short-courses in Australasia, the majority of doctors did not attain competence. However, the practice of unsupervised point-of-care ultrasound use by noncredentialled doctors was common. Further research into effective strategies to improve point-of-care ultrasound competence is required.

Evaluating the influence of data collector training for predictive risk of death models: an observational study.

BACKGROUND: Severity-of-illness scoring systems are widely used for quality assurance and research. Although validated by trained data collectors, there is little data on the accuracy of real-world data collection practices. OBJECTIVE: To evaluate the influence of formal data collection training on the accuracy of scoring system data in intensive care units (ICUs). STUDY DESIGN AND METHODS: Quality assurance audit conducted using survey methodology principles. Between June and December 2018, an electronic document with details of three fictitious ICU patients was emailed to staff from 19 Australian ICUs who voluntarily submitted data on a web-based data entry form. Their entries were used to generate severity-of-illness scores and risks of death (RoDs) for four scoring systems. The primary outcome was the variation of severity-of-illness scores and RoDs from a reference standard. RESULTS: 50/83 staff (60.3%) submitted data. Using Bayesian multilevel analysis, severity-of-illness scores and RoDs were found to be significantly higher for untrained staff. The mean (95% high-density interval) overestimation in RoD due to training effect for patients 1, 2 and 3, respectively, were 0.24 (0.16, 0.31), 0.19 (0.09, 0.29) and 0.24 (0.1, 0.38) respectively (Bayesian factor >300, decisive evidence). Both groups (trained and untrained) had wide coefficients of variation up to 38.1%, indicating wide variability. Untrained staff made more errors in interpreting scoring system definitions. INTERPRETATION: In a fictitious patient dataset, data collection staff without formal training significantly overestimated the severity-of-illness scores and RoDs compared with trained staff. Both groups exhibited wide variability. Strategies to improve practice may include providing adequate training for all data collection staff, refresher training for previously trained staff and auditing the raw data submitted by individual ICUs. The results of this simulated study need revalidation on real patients.