1,438 research outputs found
Industry differences in psychological distress and distress-related productivity loss: A cross-sectional study of Australian workers
Objective: This research uses Australian survey data to identify industries with high rates of psychological distress, and to estimate productivity impacts in the form of work loss and cutback days. Methods: Analyzing cross-sectional data from the 2017/2018 National Health Survey, industry prevalence of psychological distress (Kessler Screening Scale) was compared using ordered logistic regression. Productivity outcomes were distress-related work loss days and work cutback days in the previous 4 weeks. Losses were analyzed using zero-inflated negative binomial regression. Results: The sample consisted of 9073 employed workers [4497 males (49.6%), 4576 females (50.4%)]. Compared to the reference industry, Health, the odds of very high distress for males were highest in Information media and telecommunications (OR 2.4; 95% CI 1.2–4.6) and Administrative and support services (OR 2.5; 95% CI 1.2–5.0), while for females the odds were highest in Accommodation and food services (OR 2.0; 95% CI 1.5–2.8) followed by Retail (OR 1.6; 95% CI 1.2–2.0). Very high distress was associated excess productivity losses. Industry of occupation did not impact on productivity loss over and above distress. Conclusions: Substantial psychological distress was reported which impacted on productivity. High-risk industries included Information media and telecommunications, Accommodation and food services, and Retail
The place of digital triage in a complex healthcare system: an interview study with key stakeholders in Australia's national provider
Background
Digital triage tools such as telephone advice and online symptom checkers are now commonplace in health systems internationally. Research has focused on consumers’ adherence to advice, health outcomes, satisfaction, and the degree to which these services manage demand for general practice or emergency departments. Such studies have had mixed findings, leaving equivocal the role of these services in healthcare.
Objective
We examined stakeholders’ perspectives on Healthdirect, Australia's national digital triage provider, focusing on its role in the health system, and barriers to operation, in the context of the COVID-19 pandemic.
Methods
Key stakeholders took part in semi-structured interviews conducted online in the third quarter of 2021. Transcripts were coded and thematically analysed.
Results
Participants (n  =  41) were Healthdirect staff (n  =  13), employees of Primary Health Networks (PHNs; n  =  12), clinicians (n  =  9), shareholder representatives (n  =  4), consumer representatives (n  =  2) and other policymakers (n  =  1). Eight themes emerged from the analysis: (1) information and guidance in navigating the system, (2) efficiency through appropriate care, (3) value for consumers? (4) the difficulties in triage at a distance, (5) competition and the unfulfilled promise of integration, (6) challenges in promoting Healthdirect, (7) monitoring and evaluating digital triage services and (8) rapid change, challenge and opportunity from COVID-19.
Conclusion
Stakeholders varied in their views of the purpose of Healthdirect's digital triage services. They identified challenges in lack of integration, competition, and the limited public profile of the services, issues largely reflective of the complexity of the policy and health system landscape. There was acknowledgement of the value of the services during the COVID-19 pandemic, and an expectation of them realising greater potential in the wake of the rapid uptake of telehealth
Predictors of response rates of safety culture questionnaires in healthcare : a systematic review and analysis
Objectives: Safety culture questionnaires are widely used in healthcare to understand how staff feel at work, their attitudes and views, and the influence this has on safe and high-quality patient care. A known challenge of safety culture questionnaires is achieving high response rates to enhance reliability and validity. This review examines predictors of response rates, explores reasons provided for low response rates and identifies strategies to improve those rates.
Methods: Four bibliometric databases were searched for studies assessing safety culture in hospitals from January 2008 to May 2022. Data were extracted from 893 studies that included a safety culture questionnaire conducted in the hospital setting. Regression was used to predict response rate based on recruitment and data collection methods (incentives, reminders, method of survey administration) and country income classification. Reasons for low response were thematically analysed and used to identify strategies to improve response rates.
Results: Of the 893 studies that used a questionnaire to assess safety culture in hospitals, 75.6% reported a response rate. Response rates varied from 4.2% to 100%, with a mean response rate of 66.5% (SD=21.0). Regression analyses showed that safety culture questionnaires conducted in low-income and middle-income countries were significantly more likely to yield a higher response rate compared with high-income countries. Mode of administration, questionnaire length and timing of administration were identified as key factors. Remote methods of questionnaire data collection (electronic and by post) were significantly less likely to result in a higher response rate. Reasons provided for low response included: survey fatigue, time constraints, and lack of resources.
Conclusion: This review presents strategies for researchers and hospital staff to implement when conducting safety culture questionnaires: principally, distribute questionnaires in-person, during meetings or team training sessions; use a local champion; and consider the appropriate time of distribution to manage survey fatigue
APOE Genotype and Cardio-Respiratory Fitness Interact to Determine Adiposity in 8-Year-Old Children from the Tasmanian Infant Health Survey
APOE plays a well established role in lipid metabolism. Animal model evidence suggests APOE may also be associated with adiposity, but this has not been thoroughly investigated in humans. We measured adiposity (BMI, truncal fat mass, waist circumference), physical activity (PA), cardiorespiratory fitness and APOE genotype (E2, E3, E4) in 292 8-year-old children from the Tasmanian Infant Health Survey (TIHS), an Australian population-based prospective birth cohort. Our aims were to examine the association of APOE with child adiposity, and to examine the interplay between this association and other measured factors. We found that APOE was associated with child lipid profiles. APOE was also associated with child adiposity measures. The association was E4 allele-specific, with adiposity lower in the E4-containing group (BMI: Mean difference -0.90 kg/m2; 95% confidence intervals (CI) -1.51, -0.28; p = 0.004). The association of APOE4 with lower BMI differed by fitness status (difference in effect p = 0.002), and was more evident among the less fit (mean difference -1.78 kg/m2; 95% CI -2.74, -0.83; p<0.001). Additionally, associations between BMI and lipids were only apparent in those of lower fitness who did not carry APOE4. Similar overall findings were observed when truncal fat mass and waist circumference were used as alternative adiposity measures. APOE4 and cardiorespitatory fitness could interact to influence child adiposity. In studies addressing the genetic determinants of childhood obesity, the context of child fitness should also be taken into account
The journey to a learning health system in primary care : a qualitative case study utilising an embedded research approach
Background: Healthcare systems may be resilient and adaptive, but they are not fit for purpose in their current state. Increasing threats to health system sustainability have underscored the need to move towards a learning health system in which research and data are used routinely in clinical practice to facilitate system improvement. This study aimed to establish which elements of the learning health system were being realised within a university-based general practice and determine acceptability from staff to embrace further the transition towards a learning health system.
Methods: Semi-structured interviews were conducted with practice staff, including clinical and administrative staff, to determine the current state of the learning health system in the practice. An embedded researcher was placed within the general practice on a part-time basis to investigate the learning health system model. Interviews were transcribed and thematically analysed based on the National Academy of Medicine’s framework of learning health systems.
Results: In total, 32 (91%) practice staff were interviewed, comprising general practitioners (n = 15), nurses (n = 3), administrative staff (n = 13), and a psychologist (n = 1). Participants indicated that the practice was operating with several characteristics of a learning health system (e.g., emphasising science and informatics; focusing on patient-clinician partnerships; applying incentives; supporting a continuous learning culture; and establishing structures and governance for learning). These measures were supported by the university-based setting, and resultant culture of learning. Nevertheless, there were areas of the practice where the learning health system could be strengthened, specifically relating to the use of patient data and informatics. Staff generally expressed willingness to engage with the process of strengthening the learning health system within their practice.
Conclusion: Although the idea of a learning health system has been gaining traction in recent years, there are comparatively few empirical studies presented in the literature. This research presents a case study of a general practice that is operating as a learning health system and highlights the utility of using the learning health system framework
Is it possible to make ‘living’ guidelines? An evaluation of the Australian Living Stroke Guidelines
Background: Keeping best practice guidelines up-to-date with rapidly emerging research evidence is challenging. ‘Living guidelines’ approaches enable continual incorporation of new research, assisting healthcare professionals to apply the latest evidence to their clinical practice. However, information about how living guidelines are developed, maintained and applied is limited. The Stroke Foundation in Australia was one of the first organisations to apply living guideline development methods for their Living Stroke Guidelines (LSGs), presenting a unique opportunity to evaluate the process and impact of this novel approach.
Methods: A mixed-methods study was conducted to understand the experience of LSGs developers and end-users. We used thematic analysis of one-on-one semi-structured interview and online survey data to determine the feasibility, acceptability, and facilitators and barriers of the LSGs. Website analytics data were also reviewed to understand usage.
Results: Overall, the living guidelines approach was both feasible and acceptable to developers and users. Facilitators to use included collaboration with multidisciplinary clinicians and stroke survivors or carers. Increased workload for developers, workload unpredictability, and limited information sharing, and interoperability of technological platforms were identified as barriers. Users indicated increased trust in the LSGs (69%), likelihood of following the LSGs (66%), and frequency of access (58%), compared with previous static versions. Web analytics data showed individual access by 16,517 users in 2016 rising to 53,154 users in 2020, a threefold increase. There was also a fourfold increase in unique LSG pageviews from 2016 to 2020.
Conclusions: This study, the first evaluation of living guidelines, demonstrates that this approach to stroke guideline development is feasible and acceptable, that these approaches may add value to developers and users, and may increase guideline use. Future evaluations should be embedded along with guideline implementation to capture data prospectively
The Reality of Uncertainty in Mental Health Care Settings Seeking Professional Integration: A Mixed-Methods Approach
Introduction: Uncertainty is a common experience in the complex adaptive health system, particularly amongst mental health professionals structured for the delivery of integrated care. Increased understanding of uncertainty will not necessarily make things more certain, but can act to sensitize professionals to the challenges they face. The aim of this study is to examine the types and situations of uncertainty experienced by professionals working in a mental health setting based on an integrated care model. The research assesses the impact of experience and professional group on reported uncertainties. Methods: First, semi-structured interviews were undertaken with clinical and non-clinical staff to examine uncertainties experienced by professionals working in 'headspace' centres in Australia. Second, an online survey was conducted to quantify the experiences of uncertainty and explore associations. Results: Findings revealed three overarching and largely interrelated aspects of uncertainty, namely: decision-making; professional role; and external factors. Most commonly, staff reported experiences of uncertainty pertaining to deciding to accept a client into the service and then deciding how to treat them. This is often due to arbitrary, or overly-restrictive criteria in integrated care. Findings also suggested that uncertainty does not necessarily decline with experience and there were no significant differences in levels of uncertainty between clinical and non-clinical staff. Conclusions: This study highlights the importance of acknowledging uncertainties and actively clarifying role ambiguities when working alongside diverse professionals in mental health care
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Correction to: Identification of novel Y chromosome encoded transcripts by testis transcriptome analysis of mice with deletions of the Y chromosome long arm.
Following publication of the original article [1], the following error was reported: The actin control panel in Fig. 3 of this paper is reproduced from Fig. 7 of Touré et al, 2004 [2] by kind permission of the Genetics Society of America. Touré et al, 2004 used Northern blotting to show that the Y-linked genes Ssty1 and Ssty2 have reduced expression in a range of mouse genotypes with deletions on the Y chromosome long arm. This paper shows that two novel genes, Sly and Asty are also present on mouse Yq and have reduced expression in these deleted genotypes. A further companion paper was published in Human Molecular Genetics (Ellis et al, 2005 [3]) showing that X-linked genes are upregulated in the various deleted genotypes. Since two of the genotypes concerned are sterile and very hard to generate, all the Northern blot experiments in these papers were performed on a single membrane that was stripped and re-probed with a range of different X- and Y-linked genes. The same beta-actin loading control image thus necessarily applies to all the data presented, and was shown in all three papers. We regret that this was not mentioned appropriately in the Methods and figure legends at the time of publication
Systems resilience in the implementation of a large-scale suicide prevention intervention: a qualitative study using a multilevel theoretical approach
Background
Resilience, the capacity to adapt and respond to challenges and disturbances, is now considered fundamental to understanding how healthcare systems maintain required levels of performance across varying conditions. Limited research has examined healthcare resilience in the context of implementing healthcare improvement programs across multiple system levels, particularly within community-based mental health settings or systems. In this study, we explored resilient characteristics across varying system levels (individual, team, management) during the implementation of a large-scale community-based suicide prevention intervention.
Methods
Semi-structured interviews (n=53) were conducted with coordinating teams from the four intervention regions and the central implementation management team. Data were audio-recorded, transcribed, and imported into NVivo for analysis. A thematic analysis of eight transcripts involving thirteen key personnel was conducted using a deductive approach to identify characteristics of resilience across multiple system levels and an inductive approach to uncover both impediments to, and strategies that supported, resilient performance during the implementation of the suicide prevention intervention.
Results
Numerous impediments to resilient performance were identified (e.g., complexity of the intervention, and incompatible goals and priorities between system levels). Consistent with the adopted theoretical framework, indicators of resilient performance relating to anticipation, sensemaking, adaptation and tradeoffs were identified at multiple system levels. At each of the system levels, distinctive strategies were identified that promoted resilience. At the individual and team levels, several key strategies were used by the project coordinators to promote resilience, such as building relationships and networks and carefully prioritising available resources. At the management level, strategies included teambuilding, collaborative learning, building relationships with external stakeholders, monitoring progress and providing feedback. The results also suggested that resilience at one level can shape resilience at other levels in complex ways; most notably we identified that there can be a downside to resilience, with negative consequences including stress and burnout, among individuals enacting resilience.
Conclusions
The importance of considering resilience from a multilevel systems perspective, as well as implications for theory and future research, are discussed.publishedVersio
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