Depression and bone mineral density in a community sample of men: Geelong Osteoporosis Study

Background

Previous research in psychiatric and community samples has demonstrated reduced bone mineral density (BMD) in individuals with both clinical depression and depressive symptoms, although the findings are equivocal. This study aimed to investigate the association between self-reported depression and BMD in a community sample of men aged 20-96 years enrolled in the Geelong Osteoporosis Study.

Methods

A self-report questionnaire based on DSM-IV criteria was used to determine lifetime prevalence rates of depression within the study sample at baseline. Those currently taking oral glucocorticoids, testosterone or bisphosphonates were excluded from the analysis (n = 23) resulting in a sample of 1279 men.

Results

In this sample, 155 men reported a lifetime history of depression (LHX). There were no differences in age, weight, height, calcium intake, smoking rates or unadjusted BMD at the femoral neck between the cases and the controls, whereas unadjusted BMD at the spine was significantly lower in those with a LHX (1.254 ± 0.187 vs 1.293 ± 0.194 g/cm²). BMD adjusted for age, weight, calcium intake and smoking was 3.6% lower at the spine (1.255 ± 0.016 vs 1.295 ± 0.006 g/cm²) and 3.4% lower at the femoral neck (0.973 ± 0.011 vs 1.007 ± 0.004 g/cm²) in those with a LHX compared to controls.

Conclusion

These data are consistent with previous findings of diminished BMD in people with depressive disorders and symptoms and suggest that depression may be a risk factor for reduced BMD in community-dwelling adult men.     

Artificial intelligence (AI) and machine learning (ML) based decision support systems in mental health: An integrative review

An integrative review investigating the incorporation of artificial intelligence (AI) and machine learning (ML) based decision support systems in mental health care settings was undertaken of published literature between 2016 and 2021 across six databases. Four studies met the research question and the inclusion criteria. The primary theme identified was trust and confidence. To date, there is limited research regarding the use of AI-based decision support systems in mental health. Our review found that significant barriers exist regarding its incorporation into practice primarily arising from uncertainty related to clinician's trust and confidence, end-user acceptance and system transparency. More research is needed to understand the role of AI in assisting treatment and identifying missed care. Researchers and developers must focus on establishing trust and confidence with clinical staff before true clinical impact can be determined. Finally, further research is required to understand the attitudes and beliefs surrounding the use of AI and related impacts for the wellbeing of the end-users of care. This review highlights the necessity of involving clinicians in all stages of research, development and implementation of artificial intelligence in care delivery. Earning the trust and confidence of clinicians should be foremost in consideration in implementation of any AI-based decision support system. Clinicians should be motivated to actively embrace the opportunity to contribute to the development and implementation of new health technologies and digital tools that assist all health care professionals to identify missed care, before it occurs as a matter of importance for public safety and ethical implementation. AI-basesd decision support tools in mental health settings show most promise as trust and confidence of clinicians is achieved.     

A quantitative analysis of the perceived barriers to implementation of multisource feedback in surgical training

Background

The adoption and integration of work-based assessments by surgical units and training programs continues to increase, it is important to identify challenges in their implementation. The authors evaluated the barriers involved in the deployment of a supervisor assessment tool in Australia.

Methods

A questionnaire was created based on existing literature from international, and non-surgical contexts. The questionnaire covered areas known to impact multisource feedback assessments. The questionnaire was delivered in September 2019 to 34 trainees and 25 supervisors. Participants then rated each item within the questionnaire on a Likert scale.

Results

During the survey period, 23 of 25 (92%) supervisors and 31 of 34 (91.1%) trainees completed the questionnaire. The results show that an assessment form is well received and there is a difference between trainees and supervisors on perspectives surrounding impact on trainee-supervisor relationships, how a trainee manages negative feedback, consequences of poor scores, the importance of anonymity, and acceptability of input from allied health and nursing staff.

Conclusion

The results provide reassurance that the perception of supervisors who felt that negative ratings may affect trainee-supervisor relationships is unfounded. A digital distribution format of self-assessment and supervisor assessment forms is well received by participants. This method of assessment should provide trainees an additional source of feedback, and opportunities for self-reflection during their training.     

Mental health triage tools: A narrative review

Mental Health Triage (MHT) tools may be defined as any clinician administered scale that specifies psychiatric signs or symptoms, proposes a corresponding service response, and determines priority categories based on the level of perceived acuity. Multiple MHT tools are used across different jurisdictions and care settings. This article summarizes the literature on MHT tools, describes the available tools and the supportive evidence, evaluates the impact and clinical applications, and compares their strengths and weaknesses. This review utilized a systematic review process to identify articles examining MHT tools. Several benefits of using MHT tools are described; however, in general, the supportive evidence for their use is lacking. A modified Australasian Triage Scale has the strongest evidence base for use in emergency settings; however, further data are needed to establish improved outcomes. There is limited evidence for the use of MHT tools in ambulatory or primary care settings. No evidence was found supporting any one tool as effective in guiding service responses across the entire clinical spectrum. Future research could focus on developing and evaluating MHT tools that service all levels of illness presentation. Additionally, more robust studies are required to support the use of MHT tools in emergency settings. Finally, there is an impetus for the development and evaluation of MHT tools in ambulatory, community, and primary care settings.     

The impact of COVID-19 on the mental health workforce: A rapid review

The COVID-19 pandemic led to significant adaptations to healthcare. Provision of mental healthcare in a changing environment presented healthcare workers with unique challenges and demands, including changes in workload and expectations. To inform current and future healthcare service responses, and adaptations, the current review aimed to collate and examine the impact of the pandemic on mental healthcare workers (MHWs). We conducted a rapid systematic review to examine the overall impact of the COVID-19 pandemic on MHWs. Searches were conducted in Ovid Medline and PsycInfo and restricted to articles published from 2020. Inclusion criteria specified articles written in English, published in peer-reviewed journals, and that examined any outcome of the impact of COVID-19 on MHWs; 55 articles fulfilled these criteria. Outcomes were categorized into ‘work-related outcomes’ and ‘personal outcomes’. Mental healthcare workers worldwide experienced a range of work-related and personal adversities during the pandemic. Key work-related outcomes included increased workload, changed roles, burnout, decreased job satisfaction, telehealth challenges, difficulties with work-life balance, altered job performance, vicarious trauma and increased workplace violence. Personal outcomes included decreased well-being, increased psychological distress and psychosocial difficulties. These outcomes differed between inpatient, outpatient and remote settings. The COVID-19 pandemic significantly altered the delivery of mental healthcare and MHWs experienced both work-related and personal adversities during the COVID-19 pandemic. With the continuation of changes introduced to healthcare in the initial stages of the pandemic, it will be important to maintain efforts to monitor negative outcomes and ensure supports for MHWs, going forward.