A preference-based value framework to assess healthcare provision in an oil and gas industry.

ObjectivesThe aim of this study was to develop the Remote Health Value Framework to evaluate the models of healthcare provision for workers in the oil and gas sector, predominantly situated in rural and remote areas.MethodsThe framework was co-designed with the leadership team in one global oil and gas company using a multi-criteria decision analysis approach with a conjoint analysis component. This was used to elicit and understand preferences and trade-offs among different value domains that were important to the stakeholders with respect to the provision of healthcare for its workers. Preference elicitation and interviews were conducted with a mix of health, safety, and environment (HSE) team and non-HSE managers and leaders.ResultsOut of five presented value domains, participants considered the attribute 'Improving health outcomes of employees' the most important aspect for the model of healthcare which accounted for 37.3% of the total utility score. Alternatively, the 'Program cost' attribute was least important to the participants, accounting for only 11.0% of the total utility score. The marginal willingness-to-pay analysis found that participants would be willing to pay A$9090 per utile for an improvement in a particular value attribute.ConclusionsThis is the first value framework for healthcare delivery in the oil and gas industry, contextualised by its delivery within rural and remote locations. It provides a systematic and transparent method for creating value-based healthcare models. This approach facilitates the evaluation of healthcare investments, ensuring they align with value domains prioritised by the HSE and leadership teams.

Do patients with osteoarthritis lose weight prior to elective joint replacement?

BACKGROUND: Obesity is a known risk factor for the development of osteoarthritis and the subsequent need for joint replacement. Weight loss has been shown to reduce pain, disability, and the need for joint replacement, particularly in patients with knee osteoarthritis. The aim of this study was to investigate pre-operative weight change in patients with hip, knee, and shoulder osteoarthritis at a regional, public hospital in Australia, to identify opportunities for pre-operative weight-loss intervention. METHODS: A retrospective review of patients who underwent elective primary total hip (THR), knee (TKR), and shoulder (TSR) replacement for osteoarthritis was conducted between December 2019 and December 2022. BMI data were collected at three time points: (1) general practitioner (GP) referral; (2) orthopaedic clinic review; and (3) pre-admission clinic (PAC) assessment. RESULTS: A total of 496 patients were included in the study, of which 205 underwent THR, 251 underwent TKR, and 40 underwent TSR. The mean patient age was 67 years, and 46.4% were female. At the time of GP referral, the mean body mass index (BMI) was 31.4 kg/m2. Across the study period, only 2% of patients experienced clinically significant weight loss pre-operatively (≥5% of total body weight). CONCLUSION: This study has demonstrated that very few patients lose weight prior to undergoing joint replacement in the public sector in Australia. This highlights the need for targeted non-surgical weight loss interventions for patients currently awaiting joint replacement.

Can digital innovation transform rural primary health care? A systematic review protocol.

INTRODUCTION: Digital technology is increasingly being adopted within primary healthcare services to improve service delivery and health outcomes; however, the scope for digital innovation within primary care services in rural areas is currently unknown. This systematic review aims to synthesise existing research on the use and integration of digital health technology within primary care services for rural populations across the world. METHODS AND ANALYSIS: A systematic approach to the search strategy will be conducted. Relevant medical and healthcare-focused electronic databases will be searched using key search terms between January 2013 and December 2023. Searches will be conducted using specific inclusion and exclusion criteria. A systematic study selection and data extraction process will be implemented, using standardised templates. Outcomes will be reported using the Preferred Reporting Items for Systematic Reviews and Meta-analyses- Protocol statement guidelines. Quality assessment and risk of bias appraisal will be conducted using the Mixed Methods Appraisal Tool. ETHICS AND DISSEMINATION: Ethical approval will not be required because there is no individual patient data collected or reviewed. The finding of this review will be disseminated through peer-reviewed publications and conference presentations. Outcomes will help to understand existing knowledge and identify gaps in delivering digital healthcare services, while also providing potential future practice and policy recommendations. PROSPERO REGISTRATION NUMBER: CRD42023477233.

Multimorbidity and health-related quality of life amongst Indigenous Australians: A longitudinal analysis.

BACKGROUND: The burden of multimorbidity has been observed worldwide and it has significant consequences on health outcomes. In Australia, health-related quality of life (HRQoL) is comparatively low amongst Aboriginal and/or Torres Strait Islanders, yet no studies have examined the effect of multimorbidity on HRQoL within this at-risk population. This study seeks to fill that gap by employing a longitudinal research design. METHODS: Longitudinal data were derived from three waves (9, 13, and 17) of the household, income and labour dynamics in Australia (HILDA) Survey. A total of 1007 person-year observations from 592 Aboriginal and/or Torres Strait Islander individuals aged 15 years and above were included. HRQoL was captured using the 36-item Short-Form Health Survey (SF-36), and multimorbidity was defined using self-reports of having been diagnosed with two or more chronic health conditions. Symmetric fixed-effects linear regression models were used to assess how intraindividual changes in multimorbidity were associated with intraindividual changes in HRQoL. RESULTS: Approximately 21% of Indigenous Australians were classified as experiencing multimorbidity. Respondents had statistically significantly lower HRQoL on the SF-36 sub-scales, summary measures, and health-utility index in those observations in which they experienced multimorbidity. Among others, multimorbidity was associated with lower scores on the SF-36 physical-component scale (ß = - 6.527; Standard Error [SE] = 1.579), mental-component scale (ß = - 3.765; SE = 1.590) and short-form six-dimension utility index (ß = - 0.075; SE = 0.017). CONCLUSION: This study demonstrates that having multiple chronic conditions is statistically significantly associated with lower HRQoL amongst Indigenous Australians. These findings suggest that comprehensive and culturally sensitive health strategies addressing the complex needs of individuals with multimorbidity should be implemented to improve the HRQoL of Indigenous Australians.

A Narrative Review of Health Status and Healthcare Delivery in the Oil and Gas Industry: Impacts on Employees, Employers, and Local Communities.

Workers in the oil and gas industry are exposed to numerous health risks, ranging from poor health behaviours to the possibility of life-threatening injuries. Determining the most appropriate models of healthcare for the oil and gas industry is difficult, as strategies must be acceptable to multiple stakeholders, including employees, employers, and local communities. The purpose of this review was to broadly explore the health status and needs of workers in the oil and gas industry and healthcare delivery models relating to primary care and emergency responses. Database searches of PubMed, EMBASE, CINAHL, PsycINFO, and Scopus were conducted, as well as grey literature searches of Google, Google Scholar, and the International Association of Oil and Gas Producers website. Resource-sector workers, particularly those in 'fly-in fly-out' roles, are susceptible to poor health behaviours and a higher prevalence of mental health concerns than the general population. Evidence is generally supportive of organisation-led behaviour change and mental health-related interventions. Deficiencies in primary care received while on-site may lead workers to inappropriately use local health services. For the provision of emergency medical care, telehealth and telemedicine lead to favourable outcomes by improving patient health status and satisfaction and reducing the frequency of medical evacuations.

Nature and extent of disruptions to staff clinical supervision practices in health care settings due to COVID-19: A survey study.

OBJECTIVE: To investigate the impact of the COVID-19 pandemic on clinical supervision practices of health care workers in health care settings in one Australian state. METHOD: A bespoke survey was developed and administered online using Qualtrics™. The survey consisted of Likert scale and closed questions, with options for free text comments. Numerical data were analysed descriptively and using Chi-Square tests. Textual data were analysed through content analysis. RESULTS: Of the 178 survey respondents, 42% were from allied health disciplines, 39% from nursing and midwifery, and 19% from medicine. The type and mode (i.e., face-to-face, telesupervision) of clinical supervision prior to the pandemic and at the time of survey completion (i.e., July-August 2021) were similar. Eighteen percent of respondents had a change in supervision arrangements but only 5% had a change in supervisor. For the 37% who changed roles due to COVID-19, 81% felt their current supervisor was still able to support them, 69% were still having their supervisory needs met. Analyses of textual data resulted in the development of two categories: Supervision deteriorating, and some clinical supervision functions (i.e., formative and restorative) being more impacted than others (i.e., normative). CONCLUSION: There were substantial disruptions to several parameters of clinical supervision due to COVID-19, that may pose a threat to high quality supervision. Health care workers reported pandemic-induced stress and mental health challenges that were not always addressed by effective restorative supervision practices.

Characteristics of perceived effective telesupervision practices: A case study of supervisees and supervisors.

INTRODUCTION: Many healthcare workers have switched from face-to-face clinical supervision to telesupervision since the onset of the COVID-19 pandemic. Given the rise in prevalence of telesupervision and continuing remote working arrangements, telesupervision is no longer only limited to rural areas. As this remains an under-investigated area, this study aimed to explore supervisor and supervisee first hand experiences of effective telesupervision. METHODS: A case study approach combining in-depth interviews of supervisors and supervisees, and document analysis of supervision documentation was used. De-identified interview data were analysed through a reflective thematic analysis approach. RESULTS: Three supervisor-supervisee pairs from occupational therapy and physiotherapy provided data. Data analysis resulted in the development of four themes: Benefits vs limitations and risks, not often a solo endeavour, importance of face-to-face contact, and characteristics of effective telesupervision. DISCUSSION: Findings of this study have confirmed that telesupervision is suited to supervisees and supervisors with specific characteristics, who can navigate the risks and limitations of this mode of clinical supervision. Healthcare organisations can ensure availability of evidence-informed training on effective telesupervision practices, as well as investigate the role of blended supervision models to mitigate some risks of telesupervision. Further studies could investigate the effectiveness of utilising additional professional support strategies that complement telesupervision, including in nursing and medicine, and ineffective telesupervision practices.

Rural medical workforce pathways: exploring the importance of postgraduation rural training time.

BACKGROUND: Inadequate distribution of the medical workforce in rural regions remains a key global challenge. Evidence of the importance of postgraduation (after medical school) rural immersion time and subsequent rural practice, particularly after accounting for other key factors, remains limited. This study investigated the combined impact of three key training pathway factors: (1) rural background, (2) medical school rural immersion, and (3) postgraduation rural immersion, and duration time of each immersion factor on working rurally. METHODS: Data from a cross-sectional national survey and a single university survey of Australian doctors who graduated between 2000 to 2018, were utilised. Key pathway factors were similarly measured. Postgraduation rural training time was both broad (first 10 years after medical school, national study) and specific (prevocational period, single university). This was firstly tested as the dependent variable (stage 1), then matched against rural practice (stage 2) amongst consultant doctors (national study, n = 1651) or vocational training doctors with consultants (single university, n = 478). RESULTS: Stage 1 modelling found rural background, > 1 year medical school rural training, being rural bonded, male and later choosing general practice were associated with spending a higher proportion (> 40%) of their postgraduation training time in a rural location. Stage 2 modelling revealed the dominant impact of postgraduation rural time on subsequent rural work for both General Practitioners (GPs) (OR 45, 95% CI 24 to 84) and other specialists (OR 11, 95% CI 5-22) based on the national dataset. Similar trends for both GPs (OR 3.8, 95% CI 1.6-9.1) and other specialists (OR 2.8, 95% CI 1.3-6.4) were observed based on prevocational time only (single university). CONCLUSIONS: This study provides new evidence of the importance of postgraduation rural training time on subsequent rural practice, after accounting for key factors across the entire training pathway. It highlights that developing rural doctors aligns with two distinct career periods; stage 1-up to completing medical school; stage 2-after medical school. This evidence supports the need for strengthened rural training pathways after medical school, given its strong association with longer-term decisions to work rurally.

Gynecological cancer prognosis using machine learning techniques: A systematic review of the last three decades (1990-2022).

OBJECTIVE: Many Computer Aided Prognostic (CAP) systems based on machine learning techniques have been proposed in the field of oncology. The objective of this systematic review was to assess and critically appraise the methodologies and approaches used in predicting the prognosis of gynecological cancers using CAPs. METHODS: Electronic databases were used to systematically search for studies utilizing machine learning methods in gynecological cancers. Study risk of bias (ROB) and applicability were assessed using the PROBAST tool. 139 studies met the inclusion criteria, of which 71 predicted outcomes for ovarian cancer patients, 41 predicted outcomes for cervical cancer patients, 28 predicted outcomes for uterine cancer patients, and 2 predicted outcomes for gynecological malignancies broadly. RESULTS: Random forest (22.30 %) and support vector machine (21.58 %) classifiers were used most commonly. Use of clinicopathological, genomic and radiomic data as predictors was observed in 48.20 %, 51.08 % and 17.27 % of studies, respectively, with some studies using multiple modalities. 21.58 % of studies were externally validated. Twenty-three individual studies compared ML and non-ML methods. Study quality was highly variable and methodologies, statistical reporting and outcome measures were inconsistent, preventing generalized commentary or meta-analysis of performance outcomes. CONCLUSION: There is significant variability in model development when prognosticating gynecological malignancies with respect to variable selection, machine learning (ML) methods and endpoint selection. This heterogeneity prevents meta-analysis and conclusions regarding the superiority of ML methods. Furthermore, PROBAST-mediated ROB and applicability analysis demonstrates concern for the translatability of existing models. This review identifies ways that this can be improved upon in future works to develop robust, clinically translatable models within this promising field.

Impact of the COVID-19 pandemic on student supervision and education in health care settings: A state-wide survey of health care workers.

OBJECTIVE: To investigate student supervisor experiences of supervising students on clinical placements since the onset of the COVID-19 pandemic. BACKGROUND: Studies on the impact of COVID-19 on student clinical placements have focused largely on student reports and have been specific to individual professions or topic areas. There is a need to investigate student supervisor experiences. This study was conducted in Queensland (Australia) in four regional and rural public health services and four corresponding primary health networks. METHODS: The anonymous, mixed methods online survey, consisting of 35 questions, was administered to student supervisors from allied health, medicine, nursing and midwifery between May and August 2021. Numerical data were analysed descriptively using chi-square tests. Free-text comments were analysed using content analysis. RESULTS: Complete datasets were available for 167 respondents. Overall trends indicated perceived significant disruptions to student learning and support, plus mental health and well-being concerns for both students and supervisors. Extensive mask wearing was noted to be a barrier to building rapport, learning and teaching. Some positive impacts of the pandemic on student learning were also noted. CONCLUSIONS: This study has highlighted the perceived impact of the pandemic on supervisors' mental health, and on the mental health, learning and work readiness of students. This study provides evidence of the pandemic impacts on student clinical placements from a supervisor point of view. Findings can assist in future-proofing clinical education and ensuring that students continue to receive learning experiences of benefit to them, meeting curriculum requirements, in the event of another pandemic.

The value of extended short-term medical training placements in smaller rural and remote locations on future work location: a cohort study.

OBJECTIVES: To investigate the effects of extended short-term medical training placements in small rural and remote communities on postgraduate work location. DESIGN AND SETTING: Cohort study of medical graduates of The University of Queensland, Australia. PARTICIPANTS: Graduating medical students from 2012 to 2021 who undertook a minimum of 6 weeks training in a small rural or remote location. Some participants additionally undertook either or both an extended short-term (12-week) placement in a small rural or remote location and a long-term (1 or 2 years) placement in a large regional centre. PRIMARY OUTCOME MEASURE: Work location was collected from the Australian Health Practitioner Regulation Agency in 2022, classified as either rural, regional or metropolitan and measured in association with rural placement type(s). RESULTS: From 2806 eligible graduates, those participating in extended small rural placements (n=106, 3.8%) were associated with practising rurally or regionally postgraduation (42.5% vs 19.9%; OR: 2.2, 95% CI: 1.1 to 4.6), for both those of rural origin (50% vs 30%; OR: 4.9, 95% CI: 2.6 to 9.2) or metropolitan origin (36% vs 17%; OR: 2.8, 95% CI: 1.7 to 4.8). Those undertaking both an extended small rural placement and 2 years regional training were most likely to be practising in a rural or regional location (61% vs 16%; OR: 8.6, 95% CI: 4.5 to 16.3). Extended small rural placements were associated with practising in smaller rural or remote locations in later years (15% vs 6%, OR: 2.7, 95% CI: 1.3 to 5.3). CONCLUSION: This work location outcome evidence supports investment in rural medical training that is both located in smaller rural and remote settings and enables extended exposure with rural generalists. The evaluated 12-week programme positively related to rural workforce outcomes when applied alone. Outcomes greatly strengthened when the 12-week programme was combined with a 2-year regional centre training programme, compared with either alone. These effects were independent of rural origin.

Modifications to rapid response team (medical emergency team) activation criteria and its impact on patient safety.

BACKGROUND: Modifications to rapid response team (RRT) activation criteria occur commonly in Australian hospitals without evidence to define their use. AIMS: To evaluate the effectiveness of RRT activation criteria modifications in preventing RRT activation and differences in adverse events associated with treatment delays caused by modifications. METHODS: A prospective chart audit of hospital patients with RRT activation criteria modifications admitted during a 12-month period in a large regional hospital in Toowoomba, Australia. The incidence of RRT activation criteria modifications, RRT activations and rates of adverse events following criteria modifications were investigated. Adverse events were defined as a delayed treatment on the ward, unplanned intensive care unit admission, cardiac arrest and unexpected death. Differences in patient outcomes among medical and surgical patients were also investigated. RESULTS: A total of 271 patients out of 4009 admitted patients had modifications to their RRT activation criteria. There was no difference in rates of RRT activation in patients with modified criteria compared with patients with unmodified criteria (P = 0.37). In patients with RRT activation criteria modifications, rates of adverse events were higher in patients who met their modified RRT criteria (93.3%) compared with those who did not meet modified RRT criteria (3.8%; P < 0.001). Additionally, in patients with modifications, rates of adverse events were higher in medical patients (27.6%; n = 50) compared with surgical patients (15.6%; n = 14; P = 0.03). CONCLUSIONS: The results strongly suggest that RRT criteria modification is associated with no difference in rates of RRT activation and with detrimental impacts on patient safety, particularly in medical patients.

Prognostic significance of FIGO 2018 staging of loco-regionally advanced cervical cancer (LRACC) with the use of MRI and PET and implications for treatment selection.

INTRODUCTION: The FIGO 2018 staging of cervix cancer recognizes a total of 11 categories of loco-regionally advanced cervix cancer (LRACC). Whilst incorporating imaging is an improvement over clinical staging (FIGO 2009), this had led to more categories of disease which are not prognostically discrete groups. We aimed to analyze survival according to 2018 FIGO stages of cervix cancer and identify isoprognostic groups of patients based on primary tumor volume and nodal status. METHODS: Patients referred for radiotherapy with curative intent between 1996 and 2014 were eligible. Baseline clinico-pathological and follow up information was retrieved from an ethics-approved institutional prospective database. Patients were classified according to FIGO 2018 staging based on histo-pathology, MRI (tumor volume and local compartmental spread assessment) and PET results (nodal spread). Kaplan-Meier method was used to estimate survival at five years. Following survival analysis using recognized prognostic factors, isoprognostic categories were identified and merged to form 5 isoprognostic groups. RESULTS: Seven hundred and forty-four LRACC patients were included. The median (IQR) follow-up was 5.1 (2.6-8.4) yrs. Stage migration occurred in most patients, showing heterogeneous 5 years survival according to 2018 FIGO stages. In contrast progressively worsening prognosis could be demonstrated in the 5 observed isoprognostic clusters (p < 0.002). CONCLUSION/IMPLICATIONS: Prognosis in LRACC depends on the interplay between primary tumor characteristics, type of local spread and nodal disease. A prospective study of survival and patterns of failure according to isoprognostic clusters would be useful to determine the most appropriate treatment modality and estimate survival as well as better patient selection for clinical trials.

Impact of the COVID-19 pandemic on student experiences during rural placements in Australia: findings from a national multi-centre survey.

BACKGROUND: The aim of this national study was to explore the learning experiences of Australia's medical students who trained rurally during the COVID-19 pandemic in 2020. METHODS: A cross-sectional, national multi-centre survey was conducted in 2020, through the Federation of Rural Australian Medical Educators (FRAME). Participants were medical students who had completed an extended Rural Clinical School (RCS) training placement (≥ 12 months). A bespoke set of COVID-19 impact questions were incorporated into the annual FRAME survey, to capture COVID-19-related student experiences in 2020. Pre-pandemic (2019 FRAME survey data) comparisons were also explored. RESULTS: FRAME survey data were obtained from 464 students in 2020 (51.7% response rate), compared with available data from 668 students in 2019 (75.6% response rate). Most students expressed concern regarding the pandemic's impact on the quality of their learning (80%) or missed clinical learning (58%); however, students reported being well-supported by the various learning and support strategies implemented by the RCSs across Australia. Notably, comparisons to pre-pandemic (2019) participants of the general RCS experience found higher levels of student support (strongly agree 58.9% vs 42.4%, p < 0.001) and wellbeing (strongly agree 49.6% vs 42.4%, p = 0.008) amongst the 2020 participants. Students with more than one year of RCS experience compared to one RCS year felt better supported with clinical skills learning opportunities (p = 0.015) and less affected by COVID-19 in their exam performance (p = 0.009). CONCLUSIONS: This study has provided evidence of both the level of concern relating to learning quality as well as the positive impact of the various learning and support strategies implemented by the RCSs during the pandemic in 2020. RCSs should further evaluate the strategies implemented to identify those that are worth sustaining into the post-pandemic period.

Translating research into action: The design and development of an Indigenous specific suicide intervention skills training program (I-ASIST).

Note: We respectfully refer to Aboriginal and Torres Strait Islander people as Indigenous in this study. OBJECTIVE: To design and develop an Indigenous specific suicide intervention skills program that focuses on education and intervention training as an effective suicide prevention strategy. METHOD: Using a co-designed wrap-around framework, we developed a program in collaboration with >90 communities, stakeholders and service providers across Australia to understand knowledge, awareness and sense of connectedness between at-risk groups and health services or support groups. RESULTS: The I-ASIST training provides participants with the necessary skills and knowledge to apply a suicide intervention model. The framework behind the intervention model provides caregivers the awareness to recognise when someone may be at risk of suicide. It then gives them the skills to connect with a person at risk of suicide and to understand and clarify that risk, steps to keep that person safe for a specific period and then provide them with the resources or links required for further help. The program enables the development of knowledge through interactive strategies through cultural recognition and empowerment of participants. Based on a social-enterprise model, I-ASIST has been translated into a certified program supported by LivingWorks Australia. CONCLUSION: Based on a strengths-based and self-determination model of co-design, this grass roots innovative framework creates suicide safer communities.

A Prospective, Longitudinal Study of the Influence of Obesity on Total Knee Arthroplasty Revision Rate: Results from the Australian Orthopaedic Association National Joint Replacement Registry.

BACKGROUND: The aim of this study was to investigate the relationship of obesity with all-cause revision and revision for infection, loosening, instability, and pain after total knee arthroplasty (TKA) performed in Australia. METHODS: Data for patients undergoing primary TKA for osteoarthritis from January 1, 2015, to December 31, 2020, were obtained from the Australian Orthopaedic Association National Joint Replacement Registry (AOANJRR). The rates of all-cause revision and revision for infection, loosening, instability, and pain were compared for non-obese patients (body mass index [BMI], 18.50 to 29.99 kg/m 2 ), class-I and II obese patients (BMI, 30.00 to 39.99 kg/m 2 ), and class-III obese patients (BMI, ≥40.00 kg/m 2 ). The results were adjusted for age, sex, tibial fixation, prosthesis stability, patellar component usage, and computer navigation usage. RESULTS: During the study period, 141,673 patients underwent primary TKA for osteoarthritis in Australia; of these patients, 48.0% were class-I or II obese, and 10.6% were class-III obese. The mean age was 68.2 years, and 54.7% of patients were female. The mean follow-up period was 2.8 years. Of the 2,655 revision procedures identified, the reasons for the procedures included infection in 39.7%, loosening in 14.8%, instability in 12.0%, and pain in 6.1%. Class-I and II obese patients had a higher risk of all-cause revision (hazard ratio [HR], 1.12 [95% confidence interval (CI), 1.03 to 1.22]; p = 0.007) and revision for infection (HR, 1.25 [95% CI, 1.10 to 1.43]; p = 0.001) than non-obese patients. Class-III obese patients had a higher risk of all-cause revision after 1 year (HR, 1.30 [95% CI, 1.14 to 1.52]; p < 0.001), revision for infection after 3 months (HR, 1.72 [95% CI, 1.33 to 2.17]; p < 0.001), and revision for loosening (HR, 1.39 [95% CI, 1.00 to 1.89]; p = 0.047) than non-obese patients. The risks of revision for instability and pain were similar among groups. CONCLUSIONS: Obese patients with knee osteoarthritis should be counseled with regard to the increased risks associated with TKA, so they can make informed decisions about their health care. Health services and policymakers need to address the issue of obesity at a population level. LEVEL OF EVIDENCE: Prognostic Level III . See Instructions for Authors for a complete description of levels of evidence.

Impact of the COVID-19 Pandemic on Clinical Supervision of Healthcare Students in Rural Settings: A Qualitative Study.

The COVID-19 pandemic has caused significant disruptions to healthcare student placements worldwide, including already challenged rural areas in Australia. While accounts are emerging of student experiences in larger centers and from a student perspective, there is a need for in-depth exploration of student supervisor experiences in rural areas at the onset of the pandemic. This study aims to address this gap through 23 individual, semi-structured interviews with healthcare workers from ten health professions who were either direct student supervisors or in roles supporting student supervisors A reflexive thematic analysis approach was used to develop four themes, namely compounding stress, negative impacts on student learning, opportunity to flex and innovate, and targeted transitioning support strategies. The findings indicate that healthcare workers with student supervision responsibilities at the onset of the pandemic experienced high levels of stress and wellbeing concerns. This study sheds light on the importance of supporting student supervisors in rural areas, and the need for implementing targeted support strategies for new graduates whose placements were impacted by the pandemic. This is not only essential for supporting the rural healthcare workforce but is also imperative for addressing inequalities to healthcare access experienced in rural communities.

Obesity is associated with an increased risk of undergoing knee replacement in Australia.

BACKGROUND: Obesity is associated with the development of knee osteoarthritis (OA). The aim of this study was to examine the incidence of obesity in patients undergoing knee replacement (KR) for OA in Australia compared to the incidence of obesity in the general population. METHODS: A cohort study was conducted, comparing data from the Australian Bureau of Statistics (ABS) 2017-2018 National Health Survey with data from the National Joint Replacement Registry. The distribution of patients who underwent KR from July 2017 to June 2018 by BMI category was compared to the distribution of the general population, in age and gender sub-groups. RESULTS: During the study period, 35.6% of Australian adults were overweight and 31.3% were obese. Of the 56 217 patients who underwent primary KR for OA, 31.9% were overweight and 57.7% were obese. The relative risk of undergoing KR for OA increased with increasing BMI category. Class 1, 2 and 3 obese females aged 55-64 years were 4.7, 8.4 and 17.3 times more likely to undergo KR than their normal weight counterparts, respectively. Males in the same age and BMI categories were 3.4, 4.5 and 5.8 times more likely to undergo KR, respectively. Class 3 obese patients underwent KR 7 years younger, on average, than normal weight individuals. CONCLUSION: Obesity is associated with an increased risk of undergoing KR, and at a younger age, particularly for females. There is an urgent need for a societal level approach to address the prevalence of obesity, to reduce the burden of obesity related KR.

Rebooting effective clinical supervision practices to support healthcare workers through and following the COVID-19 pandemic.

The importance of clinical supervision, a professional support and clinical governance mechanism, to patients, healthcare workers and organizations has been well documented. Clinical supervision has been shown to support healthcare workers during challenging times, by reducing burnout, enhancing mental health and wellbeing at work, and improving job satisfaction. However, clinical supervision participation and effectiveness are pre-requisites for realising these benefits. During times of stress and increased workloads (e.g. during the Coronavirus pandemic), healthcare workers tend to prioritise clinical duties and responsibilities over clinical supervision. Effective supervision practices can be restored, and healthcare workers can be better supported in their roles during and in the post-pandemic period only if healthcare workers, policy makers, healthcare organizations, clinical supervision trainers and researchers join forces. This paper sheds light on this important topic and offers a number of practical recommendations to reboot effective clinical supervision practices at the point of care.

Impact of the COVID-19 pandemic on medical student placements in rural Queensland: A survey study.

OBJECTIVE: The COVID-19 pandemic has adversely impacted medical students' learning experiences. Students in one Australian Rural Clinical School were surveyed to investigate the impact of disruptions to clinical placements and satisfaction with educational changes implemented as a result of the pandemic. DESIGN: Cross-sectional survey. SETTING: The University of Queensland Rural Clinical School. METHODS: Students undertaking one or two years of study at the participating Rural Clinical School in November 2020. MAIN OUTCOME MEASURE: A 20-item anonymised survey with questions on personal health and safety, quality of clinical training experience, response to changes in learning and student environment, and progression to completion of the medical degree. RESULTS: The survey was completed by 124 students (76% response rate). Students were satisfied with the changes made to their learning to accommodate the disruptions to health service delivery and placements. Final year students were more satisfied with their learning experiences compared to their third-year counterparts. CONCLUSIONS: The Rural Clinical School implemented a range of academic and psychological support strategies which appear to have helped with mitigating mental health concerns experienced by students completing rural placements, who are already prone to experiencing social isolation. Strengthening communication between the academic and health service sectors can improve the quality of learning for medical students on placements.