Developing the green operating room: exploring barriers and opportunities to reducing operating room waste.

The Australian health care system contributes 7% of the national greenhouse gas emission footprint and generates massive waste streams annually. Operating rooms are a particular hotspot, generating at least 20% of the total hospital waste. A systematic search of several global academic databases was conducted in mid-2022 (articles from 1992 to 2022) for peer-reviewed research relevant to waste management in the operating rooms. We then used thematic analysis to enumerate and characterise the strategies and barriers to sustainable waste management in the operating room. The waste reduction strategies focused on avoidance of high carbon products; correct waste segregation and reduced overage; reusing, reprocessing, and repurposing devices; and improved recycling. The first barrier identified was a constrained interpretation of the concept of "first do not harm", ingrained in surgeons' practices, in prioritising single-use surgical products. The second barrier was ineffective or insufficient waste education. The third barrier was the immediate cost of implementing waste management compared with the long term realisation of environmental and economic benefits. The last barrier to implementing institutional practice change was the lack of policies and regulations at the local hospital, federal and international levels. We also evaluated the knowledge gaps in current surgical waste research, including lack of benchmarking data and standardised regulations concerning reusable or reprocessed devices, as well as the methods used to promote pro-sustainability behavioural change.

Instructional guides for filming infant movements at home are effective for the General Movements Assessment.

AIM: To determine the effectiveness of two instructional guides to obtain video recordings for the General Movements Assessment (GMA). METHODS: A cross-sectional study of a community sample of family participants with low-risk term newborn infants recruited via social media and randomly allocated to receive one of two instructional guides (detailed or quick versions) to film their infant's movements at home. Participants returned videos via a secure Research Electronic Database Capture link and videos were scored for quality across 10 criteria, along with scoring the GMA. Participants were surveyed about their perceptions of the instructional guides and electronic file transmission. RESULTS: Seventy-six parents of infants were enrolled and randomly allocated to receive detailed (n = 38) and quick (n = 38) instructions to film their infant for a GMA. Videos were returned by 87% (95% confidence interval (CI) 72%, 96%) of detailed instruction users and 84% (95% CI 69%, 94%) of quick instruction users. The GMA could be conducted on all returned videos. The mean score for video quality was 9.9/10 (standard deviation 0.4, 95% CI 9.7, 10.0) for detailed instructions and 9.7 (standard deviation 0.6, 95% CI 9.4, 9.9) for quick instructions. Overall, participants felt that either instructional guide was easy to use. Fifteen (20%) participants had difficulties with video file transmission, requiring additional support. CONCLUSIONS: Parents can successfully use one of two different instructional guides for filming their infant's movements for GMA; however, support should be provided for safe and easy file transmission.

Impact of Electronic Health Records on Information Practices in Mental Health Contexts: Scoping Review.

BACKGROUND: The adoption of electronic health records (EHRs) and electronic medical records (EMRs) has been slow in the mental health context, partly because of concerns regarding the collection of sensitive information, the standardization of mental health data, and the risk of negatively affecting therapeutic relationships. However, EHRs and EMRs are increasingly viewed as critical to improving information practices such as the documentation, use, and sharing of information and, more broadly, the quality of care provided. OBJECTIVE: This paper aims to undertake a scoping review to explore the impact of EHRs on information practices in mental health contexts and also explore how sensitive information, data standardization, and therapeutic relationships are managed when using EHRs in mental health contexts. METHODS: We considered a scoping review to be the most appropriate method for this review because of the relatively recent uptake of EHRs in mental health contexts. A comprehensive search of electronic databases was conducted with no date restrictions for articles that described the use of EHRs, EMRs, or associated systems in the mental health context. One of the authors reviewed all full texts, with 2 other authors each screening half of the full-text articles. The fourth author mediated the disagreements. Data regarding study characteristics were charted. A narrative and thematic synthesis approach was taken to analyze the included studies' results and address the research questions. RESULTS: The final review included 40 articles. The included studies were highly heterogeneous with a variety of study designs, objectives, and settings. Several themes and subthemes were identified that explored the impact of EHRs on information practices in the mental health context. EHRs improved the amount of information documented compared with paper. However, mental health-related information was regularly missing from EHRs, especially sensitive information. EHRs introduced more standardized and formalized documentation practices that raised issues because of the focus on narrative information in the mental health context. EHRs were found to disrupt information workflows in the mental health context, especially when they did not include appropriate templates or care plans. Usability issues also contributed to workflow concerns. Managing the documentation of sensitive information in EHRs was problematic; clinicians sometimes watered down sensitive information or chose to keep it in separate records. Concerningly, the included studies rarely involved service user perspectives. Furthermore, many studies provided limited information on the functionality or technical specifications of the EHR being used. CONCLUSIONS: We identified several areas in which work is needed to ensure that EHRs benefit clinicians and service users in the mental health context. As EHRs are increasingly considered critical for modern health systems, health care decision-makers should consider how EHRs can better reflect the complexity and sensitivity of information practices and workflows in the mental health context.

Avatar Therapy for people with schizophrenia or related disorders.

BACKGROUND: Many people with schizophrenia do not achieve satisfactory improvements in their mental state, particularly the symptom of hearing voices (hallucinations), with medical treatment. OBJECTIVES: To examine the effects of Avatar Therapy for people with schizophrenia or related disorders. SEARCH METHODS: In December 2016, November 2018 and April 2019, the Cochrane Schizophrenia Group's Study-Based Register of Trials (including registries of clinical trials) was searched, review authors checked references of all identified relevant reports to identify more studies and contacted authors of trials for additional information. SELECTION CRITERIA: All randomised clinical trials focusing on Avatar Therapy for people with schizophrenia or related disorders. DATA COLLECTION AND ANALYSIS: We extracted data independently. For binary outcomes, we calculated risk ratio (RR) and 95% confidence intervals (CI), on an intention-to-treat basis. For continuous data, we estimated the mean difference (MD) between groups and 95% CIs. We employed a fixed-effect model for analyses. We assessed risk of bias for included studies and created 'Summary of findings' tables using GRADE. Our main outcomes of interest were clinically important change in; mental state, insight, global state, quality of life and functioning as well as adverse effects and leaving the study early. MAIN RESULTS: We found 14 potentially relevant references for three studies (participants = 195) comparing Avatar Therapy with two other interventions; treatment as usual or supportive counselling. Both Avatar Therapy and supportive counselling were given in addition (add-on) to the participants' normal care. All of the studies had high risk of bias across one or more domains for methodology and, for other risks of bias, authors from one of the studies were involved in the development of the avatar systems on trial and in another trial, authors had patents on the avatar system pending. 1. Avatar Therapy compared with treatment as usual When Avatar Therapy was compared with treatment as usual average endpoint Positive and Negative Syndrome Scale - Positive (PANSS-P) scores were not different between treatment groups (MD -1.93, 95% CI -5.10 to 1.24; studies = 1, participants = 19; very low-certainty evidence). A measure of insight (Revised Beliefs about Voices Questionnaire; BAVQ-R) showed an effect in favour of Avatar Therapy (MD -5.97, 95% CI -10.98 to -0.96; studies = 1, participants = 19; very low-certainty evidence). No one was rehospitalised in either group in the short term (risk difference (RD) 0.00, 95% CI -0.20 to 0.20; studies = 1, participants = 19; low-certainty evidence). Numbers leaving the study early from each group were not clearly different - although more did leave from the Avatar Therapy group (6/14 versus 0/12; RR 11.27, 95% CI 0.70 to 181.41; studies = 1, participants = 26; low-certainty evidence). There was no clear difference in anxiety between treatment groups (RR 5.54, 95% CI 0.34 to 89.80; studies = 1, participants = 19; low-certainty evidence). For quality of life, average Quality of Life Enjoyment and Satisfaction Questionnaire-Short Form (QLESQ-SF) scores favoured Avatar Therapy (MD 9.99, 95% CI 3.89 to 16.09; studies = 1, participants = 19; very low-certainty evidence). No study reported data for functioning. 2. Avatar Therapy compared with supportive counselling When Avatar Therapy was compared with supportive counselling (all short-term), general mental state (Psychotic Symptom Rating Scale (PSYRATS)) scores favoured the Avatar Therapy group (MD -4.74, 95% CI -8.01 to -1.47; studies = 1, participants = 124; low-certainty evidence). For insight (BAVQ-R), there was a small effect in favour of Avatar Therapy (MD -8.39, 95% CI -14.31 to -2.47; studies = 1, participants = 124; low-certainty evidence). Around 20% of each group left the study early (risk ratio (RR) 1.06, 95% CI 0.59 to 1.89; studies = 1, participants = 150; moderate-certainty evidence). Analysis of quality of life scores (Manchester Short Assessment of Quality of Life (MANSA)) showed no clear difference between groups (MD 2.69, 95% CI -1.48 to 6.86; studies = 1, participants = 120; low-certainty evidence). No data were available for rehospitalisation rates, adverse events or functioning. AUTHORS' CONCLUSIONS: Our analyses of available data shows few, if any, consistent effects of Avatar Therapy for people living with schizophrenia who experience auditory hallucinations. Where there are effects, or suggestions of effects, we are uncertain because of their risk of bias and their unclear clinical meaning. The theory behind Avatar Therapy is compelling but the practice needs testing in large, long, well-designed, well-reported randomised trials undertaken with help from - but not under the direction of - Avatar Therapy pioneers.

Lessons Learned from Natural Disasters around Digital Health Technologies and Delivering Quality Healthcare.

As climate change drives increased intensity, duration and severity of weather-related events that can lead to natural disasters and mass casualties, innovative approaches are needed to develop climate-resilient healthcare systems that can deliver safe, quality healthcare under non-optimal conditions, especially in remote or underserved areas. Digital health technologies are touted as a potential contributor to healthcare climate change adaptation and mitigation, through improved access to healthcare, reduced inefficiencies, reduced costs, and increased portability of patient information. Under normal operating conditions, these systems are employed to deliver personalised healthcare and better patient and consumer involvement in their health and well-being. During the COVID-19 pandemic, digital health technologies were rapidly implemented on a mass scale in many settings to deliver healthcare in compliance with public health interventions, including lockdowns. However, the resilience and effectiveness of digital health technologies in the face of the increasing frequency and severity of natural disasters remain to be determined. In this review, using the mixed-methods review methodology, we seek to map what is known about digital health resilience in the context of natural disasters using case studies to demonstrate what works and what does not and to propose future directions to build climate-resilient digital health interventions.

Ethics and Law in Research on Algorithmic and Data-Driven Technology in Mental Health Care: Scoping Review.

BACKGROUND: Uncertainty surrounds the ethical and legal implications of algorithmic and data-driven technologies in the mental health context, including technologies characterized as artificial intelligence, machine learning, deep learning, and other forms of automation. OBJECTIVE: This study aims to survey empirical scholarly literature on the application of algorithmic and data-driven technologies in mental health initiatives to identify the legal and ethical issues that have been raised. METHODS: We searched for peer-reviewed empirical studies on the application of algorithmic technologies in mental health care in the Scopus, Embase, and Association for Computing Machinery databases. A total of 1078 relevant peer-reviewed applied studies were identified, which were narrowed to 132 empirical research papers for review based on selection criteria. Conventional content analysis was undertaken to address our aims, and this was supplemented by a keyword-in-context analysis. RESULTS: We grouped the findings into the following five categories of technology: social media (53/132, 40.1%), smartphones (37/132, 28%), sensing technology (20/132, 15.1%), chatbots (5/132, 3.8%), and miscellaneous (17/132, 12.9%). Most initiatives were directed toward detection and diagnosis. Most papers discussed privacy, mainly in terms of respecting the privacy of research participants. There was relatively little discussion of privacy in this context. A small number of studies discussed ethics directly (10/132, 7.6%) and indirectly (10/132, 7.6%). Legal issues were not substantively discussed in any studies, although some legal issues were discussed in passing (7/132, 5.3%), such as the rights of user subjects and privacy law compliance. CONCLUSIONS: Ethical and legal issues tend to not be explicitly addressed in empirical studies on algorithmic and data-driven technologies in mental health initiatives. Scholars may have considered ethical or legal matters at the ethics committee or institutional review board stage. If so, this consideration seldom appears in published materials in applied research in any detail. The form itself of peer-reviewed papers that detail applied research in this field may well preclude a substantial focus on ethics and law. Regardless, we identified several concerns, including the near-complete lack of involvement of mental health service users, the scant consideration of algorithmic accountability, and the potential for overmedicalization and techno-solutionism. Most papers were published in the computer science field at the pilot or exploratory stages. Thus, these technologies could be appropriated into practice in rarely acknowledged ways, with serious legal and ethical implications.

Clinician perceptions of My Health Record in mental health care: medication management and sharing mental health information.

My Health Record (MHR) is a national personally controlled electronic health record, which is projected to be used by all Australian health professionals by 2022. It has also been proposed for use in mental health care, but there is limited information on how clinicians will successfully implement it. This study interviewed seven general practitioners and four psychologists in Tasmania, Australia. Participants were asked about information continuity and barriers and benefits to using My Health Record in mental health care. Thematic analysis identified two pertinent themes: Medication Management and Mental Health Information. Participants reported MHR could improve the quality and frequency of medication information shared between clinicians, but wanted additional medication-related alert features. Mental health information issues were broad in scope and included concerns over sensitive data that might be accessed through MHR and completeness of information. Participants also reported barriers to MHR use, including time burdens and privacy and confidentiality concerns. My Health Record used in mental health care may improve the timely sharing of medication-related information, but clinicians' concerns regarding the sharing of patients' highly sensitive mental health information need to be addressed.

Mind the Gap: Information Sharing Between Health, Mental Health and Social Care Services.

Information sharing is key to integrated, collaborative, and continuous care. People with a lived experience of mental illness may access several services across the health, mental health and social care sectors, which creates challenges for information sharing. The health informatics community has traditionally not prioritised social care informatics. However, with the growing role of social care in the lives of people with complex health conditions, now is the time when we must consider the articulation between health informatics and social care informatics in Australia. This paper reports the results of a qualitative study to understand the current context of information sharing between health, mental health and social care services. Interviews and focus groups with nine clinicians, caseworkers and support workers were undertaken. Thematic analysis supported the development of several themes. These include the growing role of social care services, the importance of trust and the challenge created by the complexity of conditions people can present with when accessing social care services. To ensure the growing range of social care services do not get left behind with the increasing digitisation of the Australian health system, the health informatics community should prioritise the inclusion of social care informatics in its scope of practice.

Evaluating the Contextual Integrity of Australia's My Health Record.

My Health Record (MyHR) is Australia's national personally-controlled electronic health record. Initially established in 2012, it moved from an opt-in to an opt-out system in 2018. This paper considers the privacy aspects of MyHR shared health summary. Drawing on Nissenbaum's theory of privacy as contextual integrity, we argue that the shift in the event-specific nature of information sharing leads to MyHR breaching contextual integrity. As per Nissenbaum's decision heuristic for contextual integrity, we evaluate this breach through a reflection on the changing nature of health care, including patient empowerment, and the greater complexity of care. It is evident that more needs to be known about the benefits of shared health summaries, as well as the actual use of MyHR by clinicians and patients. Though we focus on MyHR, this evaluation has broader applicability to other national electronic health records and electronic shared health summaries.