Perioperative knowledge, self-efficacy and clinical practices related to postoperative delirium care in older people across geographical regions in Australia.

INTRODUCTION: In older people undergoing surgery, there is a lower tolerance for complications. This highlights the need for documented clinical practices on proper prevention, pre-screening and management of complications such as postoperative delirium (POD). Evidence-based clinical practice guidelines exist for delirium management; however, the management of delirium in clinical settings differs widely. OBJECTIVE: This study aims to develop an understanding of the knowledge, components of self-efficacy (confidence/competence), and clinical practice related to POD care among preoperative and recovery nurses across different types of geographical locations in Australia. DESIGN: A 27-item online survey was sent out to professional associations focused on perioperative care across Australia. The participants included practicing registered nurses specialising in perioperative care. The main outcome measures were Knowledge, confidence/competence and clinical practice relating to POD care in older patients. FINDINGS: Respondents were categorised into two groups-major cities and rural and remote. Mean age was 46.3 years for respondents in Australian major cities and 49.5 for the comparison group. There was a statistically significant difference between Australian major cities and 'rural and remote' in confidence in detecting hyperactive delirium, 25.2% versus 11.7% respectively as well as managing hyperactive delirium, 13.8% versus 1.7%, respectively. Similar results were also observed on hypoactive delirium. Respondents from both groups did not mirror the ideal situation in managing a hyperactive delirium. DISCUSSION: Results from this study are inconclusive and there is no clear-cut observation in clinical practice or knowledge between the two geographical categories in this study. CONCLUSION: The absence of a distinct strategy with POD prevention highlights the need for a uniform approach and consensus on POD prevention and management in older people. This can be achieved by creating more awareness and education through professional development related to POD.

Measures of socioeconomic advantage are not independent predictors of support for healthcare AI: subgroup analysis of a national Australian survey.

Objectives: Applications of artificial intelligence (AI) have the potential to improve aspects of healthcare. However, studies have shown that healthcare AI algorithms also have the potential to perpetuate existing inequities in healthcare, performing less effectively for marginalised populations. Studies on public attitudes towards AI outside of the healthcare field have tended to show higher levels of support for AI among socioeconomically advantaged groups that are less likely to be sufferers of algorithmic harms. We aimed to examine the sociodemographic predictors of support for scenarios related to healthcare AI.Methods: The Australian Values and Attitudes toward AI survey was conducted in March 2020 to assess Australians' attitudes towards AI in healthcare. An innovative weighting methodology involved weighting a non-probability web-based panel against results from a shorter omnibus survey distributed to a representative sample of Australians. We used multinomial logistic regression to examine the relationship between support for AI and a suite of sociodemographic variables in various healthcare scenarios.Results: Where support for AI was predicted by measures of socioeconomic advantage such as education, household income and Socio-Economic Indexes for Areas index, the same variables were not predictors of support for the healthcare AI scenarios presented. Variables associated with support for healthcare AI included being male, having computer science or programming experience and being aged between 18 and 34 years. Other Australian studies suggest that these groups may have a higher level of perceived familiarity with AI.Conclusion: Our findings suggest that while support for AI in general is predicted by indicators of social advantage, these same indicators do not predict support for healthcare AI.

Incidence of postoperative delirium in older adults undergoing surgical procedures: A systematic literature review and meta-analysis.

BACKGROUND: With the increase in life expectancy around the globe, the incidence of postoperative delirium (POD) among older people (≥65 years) is growing. Previous studies showed a wide variation in the incidence of POD, from 4% to 53%, with a lack of specific evidence about the incidence of POD by specific surgery type among older people. The aim of this systematic review and meta-analysis was to determine the incidence of POD by surgery type within populations 65 years and over. METHODS: Databases including PubMed, Cochrane library, Embase, and CINAHL were searched until October 2020. Due to the relatively higher number of meta-analyses undertaken in this area of research, a streamlined systematic meta-analysis was proposed. RESULTS: A total of 28 meta-analyses (comprising 284 individual studies) were reviewed. Data from relevant individual studies (n = 90) were extracted and included in the current study. Studies were grouped into eight surgery types and the incidence of POD for orthopedic, vascular, spinal, cardiac, colorectal, abdominal, urologic, and mixed surgeries was 20%, 14%, 13%, 32%, 14%, 30%, 10%, and 26%, respectively. POD detection instruments were different across the studies, with Confusion Assessment Method (CAM & CAM-ICU) being the most frequently adopted. LINKING EVIDENCE TO ACTION: This study showed that POD incidence in older people undergoing surgery varied widely across surgery type. The more complex surgeries like cardiac and abdominal surgeries were associated with a higher risk of POD. This highlights the need to include the level of surgery complexity as a risk factor in preoperative assessments.

Delirium education and post-anaesthetics care unit nurses' knowledge on recognising and managing delirium in older patients.

BACKGROUND: Postoperative delirium (POD) is a major complication following a surgical procedure. There is evidence that improving knowledge about POD could enhance POD care and patient outcomes. AIM: The study aimed to evaluate whether the amount of delirium education among registered nurses working in post-anaesthetics care units (PACU) impacts on their self-reported confidence and competence in recognising and managing delirium as well as prior knowledge on factors that influence the risk of delirium onset for older people. METHOD: The current study utilised an online survey on delirium care practice among registered nurses in PACUs. The survey consisted of 27 items. There were questions about confidence and competence in delirium care, knowledge about delirium risk factors, and ranked responses to two case scenario questions to evaluate the application of POD care. There were also demographic questions, including previous experience with delirium care education. RESULTS: A total of 336 responses were generated from registered nurses working in PACU. Our findings found substantial variability among the respondents about their delirium care education. The amount of delirium education did not influence the PACU registered nurses' confidence or competence in delirium care. In addition, previous education did not have an impact on their knowledge about delirium risk factors. DISCUSSION AND CONCLUSION: These findings suggested that the quantity of prior education about delirium did not improve the confidence, competence, knowledge, or case scenario questions of PACU registered nurses. Thus, delirium care education needs to be transformed to ensure it has a positive effect on delirium care clinical practice by registered nurses in PACU.

The Adoption of Artificial Intelligence in Health Care and Social Services in Australia: Findings From a Methodologically Innovative National Survey of Values and Attitudes (the AVA-AI Study).

BACKGROUND: Artificial intelligence (AI) for use in health care and social services is rapidly developing, but this has significant ethical, legal, and social implications. Theoretical and conceptual research in AI ethics needs to be complemented with empirical research to understand the values and judgments of members of the public, who will be the ultimate recipients of AI-enabled services. OBJECTIVE: The aim of the Australian Values and Attitudes on AI (AVA-AI) study was to assess and compare Australians' general and particular judgments regarding the use of AI, compare Australians' judgments regarding different health care and social service applications of AI, and determine the attributes of health care and social service AI systems that Australians consider most important. METHODS: We conducted a survey of the Australian population using an innovative sampling and weighting methodology involving 2 sample components: one from an omnibus survey using a sample selected using scientific probability sampling methods and one from a nonprobability-sampled web-based panel. The web-based panel sample was calibrated to the omnibus survey sample using behavioral, lifestyle, and sociodemographic variables. Univariate and bivariate analyses were performed. RESULTS: We included weighted responses from 1950 Australians in the web-based panel along with a further 2498 responses from the omnibus survey for a subset of questions. Both weighted samples were sociodemographically well spread. An estimated 60% of Australians support the development of AI in general but, in specific health care scenarios, this diminishes to between 27% and 43% and, for social service scenarios, between 31% and 39%. Although all ethical and social dimensions of AI presented were rated as important, accuracy was consistently the most important and reducing costs the least important. Speed was also consistently lower in importance. In total, 4 in 5 Australians valued continued human contact and discretion in service provision more than any speed, accuracy, or convenience that AI systems might provide. CONCLUSIONS: The ethical and social dimensions of AI systems matter to Australians. Most think AI systems should augment rather than replace humans in the provision of both health care and social services. Although expressing broad support for AI, people made finely tuned judgments about the acceptability of particular AI applications with different potential benefits and downsides. Further qualitative research is needed to understand the reasons underpinning these judgments. The participation of ethicists, social scientists, and the public can help guide AI development and implementation, particularly in sensitive and value-laden domains such as health care and social services.

The socioeconomic gradient in mortality from ovarian, cervical, and endometrial cancer in Australian women, 2001-2018: A population-based study.

BACKGROUND: Socio-economic (SE) status is closely linked to health status and the mechanisms of this association are complex. One important adverse effect of SE disadvantage is vulnerability to cancer and cancer is a major cause of morbidity and mortality in Australia. AIMS: We aimed to estimate the effect of SE status on mortality rates from ovarian, cervical, and endometrial cancer. MATERIALS AND METHODS: National mortality data were obtained from the Australian Bureau of Statistics (ABS) for the calendar years from 2001 to 2018, inclusive. Individual deaths were grouped by the ABS Index of Relative Socio-economic Advantage and Disadvantage. Population data were obtained to provided denominators allowing calculation of mortality rates (deaths per 100 000 women aged 30-79 years). Statistical analyses performed included tabulating point-estimates of mortality rates and their changes over time and modelling the trends of rates using maximum likelihood method. RESULTS: Age-standardised mortality rates for ovarian and cervical cancer fell over the study period but increased for endometrial cancer. There was clear evidence of a SE gradient in the mortality rate for all three cancers. This SE gradient increased over the study period for ovarian and cervical cancer but remained unchanged for endometrial cancer. CONCLUSIONS: Women at greater SE disadvantage have higher rates of death from the commonest gynaecological cancers and this gradient has not reduced over the last two decades. After the COVID-19 pandemic efforts must be redoubled to ensure that Australians already at risk of ill health do not face even greater risks because of their circumstances.

Sharing Government Health Data With the Private Sector: Community Attitudes Survey.

BACKGROUND: The use of government health data for secondary purposes, such as monitoring the quality of hospital services, researching the health needs of populations, and testing how well new treatments work, is increasing. This increase in the secondary uses of health data has led to increased interest in what the public thinks about data sharing, in particular, the possibilities of sharing with the private sector for research and development. Although international evidence demonstrates broad public support for the secondary use of health data, this support does not extend to sharing health data with the private sector. If governments intend to share health data with the private sector, knowing what the public thinks will be important. This paper reports a national survey to explore public attitudes in Australia toward sharing health data with private companies for research on and development of therapeutic drugs and medical devices. OBJECTIVE: This study aims to explore public attitudes in Australia toward sharing government health data with the private sector. METHODS: A web-based survey tool was developed to assess attitudes about sharing government health data with the private sector. A market research company was employed to administer the web-based survey in June 2019. RESULTS: The survey was completed by 2537 individuals residing in Australia. Between 51.8% and 57.98% of all participants were willing to share their data, with slightly fewer in favor of sharing to improve health services (51.99%) and a slightly higher proportion in favor of sharing for research and development (57.98%). There was a preference for opt-in consent (53.44%) and broad support for placing conditions on sharing health information with private companies (62% to 91.99%). Wide variability was also observed in participants' views about the extent to which the private sector could be trusted and how well they would behave if entrusted with people's health information. In their qualitative responses, the participants noted concerns about private sector corporate interests, corruption, and profit making and expressed doubt about the Australian government's capacity to manage data sharing safely. The percentages presented are adjusted against the Australian population. CONCLUSIONS: This nationally representative survey provides preliminary evidence that Australians are uncertain about sharing their health data with the private sector. Although just over half of all the respondents supported sharing health data with the private sector, there was also strong support for strict conditions on sharing data and for opt-in consent and significant concerns about how well the private sector would manage government health data. Addressing public concern about sharing government health data with the private sector will require more and better engagement to build community understanding about how agencies can collect, share, protect, and use their personal data.

Perceived built environment and type 2 diabetes incidence: Exploring potential mediating pathways through physical and mental health, and behavioural factors in a longitudinal study.

AIMS: The evidence on the pathways through which the built environment may influence type 2 diabetes (T2D) risk is limited. This study explored whether behavioural, physical and mental health factors mediate the associations between perceived built environment and T2D. METHODS: Longitudinal data on 36,224 participants aged ≥45 years (The Sax Institute's 45 and Up Study) was analysed. Causal mediation analysis that uses the counterfactual approach to decompose the total effect into direct and indirect effects was performed. RESULTS: The results showed that physical activity, recreational walking, and BMI mediated around 6%, 11%, and 30%, respectively, of the association between perceived lack of access to local amenities and T2D incidence. Physical activity (4.8% for day-time crime), recreational walking (2.3% for day-time crime), psychological distress (5.2% for day-time, 3.7% for night-time crime), and BMI (29.6% for day-time crime, 17.4% for night-time crime) also partially mediated the effect of perceived crime. Mediated effects appeared larger at wave 3 than the same wave 2 mediators. CONCLUSIONS: The findings demonstrate that physical activity, psychological distress, and BMI mediate the pathways between the built environment and T2D. Policies aimed to bring amenities closer to homes, prevent crime, and address mental health may help reduce T2D risk.

Changes in the incidence and uptake of reproductive surgery versus in vitro fertilisation in Australia between 2001 and 2015: A population-based study.

OBJECTIVE: Improvements in success rates of assisted reproduction led to predictions that infertility surgery in both women and men would become extinct in developed countries. We sought to identify the changes in reproductive surgery that occurred between 2001 and 2015 to determine whether these predictions have been accurate. DESIGN: The Australian Institute of Health and Welfare (AIHW) national procedural dataset and the Australian Medicare Benefits Scheme (MBS) claims database were searched for procedure data for male and female reproductive surgery and assisted reproduction from January 2001 to December 2015. The denominators were based on annual point estimates of the total population aged 25-44 years (female) and 25-55 years (male) from the Australian Bureau of Statistics (ABS). This dataset provides procedures undertaken but not their indications. RESULTS: Over the study period the incidence of tubal surgery fell by 66%, vasectomy reversal by 33%, and surgical varicocoelectomy by 50%. In contrast, the rate of hysteroscopic myomectomy increased by 48%, hysteroscopic septoplasty by 125%, and laparoscopy for severe endometriosis increased by 84%. In vitro fertilisation oocyte retrievals increased by 90%. The rate of abdominal myomectomy was unchanged. CONCLUSION: Fertility surgery is not dead but has evolved.

New classification system for indications for endoscopic retrograde cholangiopancreatography predicts diagnoses and adverse events.

BACKGROUND: Indications for endoscopic retrograde cholangiopancreatography (ERCP) have received little attention, especially in scientific or objective terms. AIM: To review the prevailing ERCP indications in the literature, and to propose and evaluate a new ERCP indication system, which relies on more objective pre-procedure parameters. METHODS: An analysis was conducted on 1758 consecutive ERCP procedures, in which contemporaneous use was made of an a-priori indication system. Indications were based on the objective pre-procedure parameters and divided into primary [cholangitis, clinical evidence of biliary leak, acute (biliary) pancreatitis, abnormal intraoperative cholangiogram (IOC), or change/removal of stent for benign/malignant disease] and secondary [combination of two or three of: pain attributable to biliary disease ('P'), imaging evidence of biliary disease ('I'), and abnormal liver function tests (LFTs) ('L')]. A secondary indication was only used if a primary indication was not present. The relationship between this newly developed classification system and ERCP findings and adverse events was examined. RESULTS: The indications of cholangitis and positive IOC were predictive of choledocholithiasis at ERCP (101/154 and 74/141 procedures, respectively). With respect to secondary indications, only if all three of 'P', 'I', and 'L' were present there was a statistically significant association with choledocholithiasis (χ2(1) = 35.3, p < .001). Adverse events were associated with an unusual indication leading to greater risk of unplanned hospitalization (χ2(1) = 17.0, p < .001). CONCLUSIONS: An a-priori-based indication system for ERCP, which relies on pre-ERCP objective parameters, provides a more useful and scientific classification system than is available currently.