UNASSIGNED: Evidence shows that routine occupational safety and health (OSH) training is critical for maintaining good safety culture at healthcare facilities. However, our understanding of how healthcare facility type and routine OSH training interactively influence the number of reported organizational safety culture perceptions is limited.
UNASSIGNED: This study assesses the interactive effect of healthcare facility type and OSH training on the number of reported organizational safety culture perceptions of healthcare workers in Ghana, secondly it evaluates how the relationship was attenuated when theoretically relevant factors (compositional and contextual) were considered, and lastly examines the magnitude and order of association between the predictors and the number of reported organizational safety culture perceptions.
UNASSIGNED: Cross-sectional interview study.
UNASSIGNED: The researchers interviewed 500 healthcare workers in seventeen healthcare facilities in the Central region of Ghana.
UNASSIGNED: Negative binomial regression models were fitted to cross-sectional survey data on 500 healthcare workers in Ghana.
UNASSIGNED: Healthcare workers who work in healthcare centers (24%, P<0.05) and hospitals (23%, P<0.05) where routine OSH training was conducted were more likely to report good organizational safety culture perceptions compared with their counterparts who work at healthcare centers where no routine OSH training was conducted. Individuals who were above 39 years (23%, P<0.05) were more likely to report good organizational safety culture perceptions compared with their counterparts in the 20-29-year category. Female healthcare workers (11%, P<0.05) were more likely to report good organizational safety culture perceptions compared with their male counterparts.
UNASSIGNED: These findings provide valuable information for policymakers and stakeholders in the healthcare sector to develop interventions necessary for improving safety culture at healthcare facilities.

COVID-19 emerged as a global pandemic of the twenty-first century. It has created a huge burden on society. More specifically, it has turned into one of the health risks that threaten to undermine societal order in general. The global effort to save humanity from this public health crisis is heavily reliant on professional social workers. According to the study\'s qualitative findings and perspectives on social workers\' experiences in the health sector, the COVID-19 response is addressed. This study explores the function and difficulties faced by frontline social workers through an empirical phenomenological approach. Primary data for this study was gathered from 20 social workers from the leading healthcare institutions in Tamil Nadu using purposive and snowball sampling. The study focuses on three key conclusions, including the requirement for interdisciplinary expertise to address the multifaceted effects of pandemics, perceived difficulties in pandemic practice, and obstacles in service provision. The report offers recommendations for advancing social work initiatives as a conclusion. It also explains how modern social work may benefit healthcare facilities better in the fight against the pandemic.

BACKGROUND: QR codes have played an integral role during the pandemic in many sectors, but their use has been limited in the health care sector, especially by patients. Although some authors have stated that developing specific content for women on how to cope with health problems could be an effective way to prevent problems, especially during pandemics, there is little research regarding the use of QR codes to promote health during a pandemic, and even fewer studies are focused on women. Moreover, although the importance of assessing these interventions from the users\' perspective has been stated, research carried out from this point of view is still scarce.
OBJECTIVE: This study aimed to assess the usefulness of using QR codes with information to promote women\'s health in the context of a pandemic. We also sought to design and validate a questionnaire to assess this.
METHODS: A cross-sectional study was conducted among women in the gynecology waiting rooms of a reference hospital. Exploratory factorial analysis with the split-half method and Cronbach α values was performed for questionnaire validation. Univariant and bivariant analyses were performed to analyze the data obtained.
RESULTS: In total, 186 women took part in the study. Exploratory factor analysis identified 2 domains: usability and applicability in medical practice. The Cronbach α value was .81. Overall, 83.7% of the answers to the first domain and 56.4% of those to the second were favorable. Women with university education or those who had used QR codes before scored better in the usability domain, while no differences were observed in the applicability scores.
CONCLUSIONS: Using QR codes in the gynecology clinics\' waiting rooms can help promote women\'s health during a pandemic, regardless of their education level or whether they have used QR codes before. The questionnaire developed herein is a helpful tool to assess this. These findings are important for clinical practice. This research can be performed in other ambits, specialties, or countries.

Using a novel approach, this exploratory study investigated whether the physical activity (PA) paradox extends to cardiovascular load and musculoskeletal pain. At baseline, 1-2 days of 24 h heart rate was assessed in 72 workers from construction and healthcare. Workers then reported pain intensity in 9 body regions (scale 0-3) every 6 months for two years. The 2 year average of musculoskeletal pain (sum of 9 pain scores; scale 0-27) was regressed on time spent during work and leisure above three thresholds of percentage heart rate reserve (%HRR), i.e., ≥20 %HRR, ≥30 %HRR, and ≥40 %HRR, using a novel ilr structure in compositional data analysis. Analyses were stratified for several important variables. Workers spending more time in physical activity at work had higher pain, while workers with more time in physical activity during leisure had less pain (i.e., the PA paradox), but none of the associations were statistically significant. Higher aerobic capacity and lower body mass index lowered the pain score among those with higher physical activity at work. This exploratory study suggests that the PA paradox may apply to musculoskeletal pain and future studies with larger sample sizes and additional exposure analyses are needed to explain why this occurs.

High-quality research is essential in guiding evidence-based care, and should be reported in a way that is reproducible, transparent and where appropriate, provide sufficient detail for inclusion in future meta-analyses. Reporting guidelines for various study designs have been widely used for clinical (and preclinical) studies, consisting of checklists with a minimum set of points for inclusion. With the recent rise in volume of research using artificial intelligence (AI), additional factors need to be evaluated, which do not neatly conform to traditional reporting guidelines (eg, details relating to technical algorithm development). In this review, reporting guidelines are highlighted to promote awareness of essential content required for studies evaluating AI interventions in healthcare. These include published and in progress extensions to well-known reporting guidelines such as Standard Protocol Items: Recommendations for Interventional Trials-AI (study protocols), Consolidated Standards of Reporting Trials-AI (randomised controlled trials), Standards for Reporting of Diagnostic Accuracy Studies-AI (diagnostic accuracy studies) and Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis-AI (prediction model studies). Additionally there are a number of guidelines that consider AI for health interventions more generally (eg, Checklist for Artificial Intelligence in Medical Imaging (CLAIM), minimum information (MI)-CLAIM, MI for Medical AI Reporting) or address a specific element such as the \'learning curve\' (Developmental and Exploratory Clinical Investigation of Decision-AI) . Economic evaluation of AI health interventions is not currently addressed, and may benefit from extension to an existing guideline. In the face of a rapid influx of studies of AI health interventions, reporting guidelines help ensure that investigators and those appraising studies consider both the well-recognised elements of good study design and reporting, while also adequately addressing new challenges posed by AI-specific elements.

BACKGROUND: Knowledge resources are in most productive sectors distinctive in terms of competitiveness. Still, in the health sector, they can have an impact on the health of the population, help make the organisations more efficient and can help improve decision-making processes. The purpose of this paper is to investigate the Intellectual Capital impact on healthcare organization\' performance in the Italian healthcare system.
METHODS: The theoretical framework linked to intellectual Capital in the health sector and the performance evaluation related to efficiency supports the analysis carried out in two stages to determine the right placement of resources and the exogenous variables that influence performance level. The evaluation of the impact of the ICs on performance is determined through the Data envelopment analysis. The incidence of the exogenous variables has been established through linear regression.
RESULTS: Empirical results in Italy show some IC components influence organization \'performance (Essential Levels of Assistance) and could be used for defining the policy of allocation of resources in healthcare sector. The efficiency of 16 regions considered in 2016 based on Slack-Based-Model constant returns-to-scale (SBM-CRS) and Slack-Based-Model variable returns-to-scale (SBM-VRS) identifies a different ability to balance IC and performance. Current healthcare expenditure and the number of residents is correlated with the identified efficiency and performance levels.
CONCLUSIONS: This paper embeds an innovative link between healthcare performance, in term of efficiency and IC which aligns resource management with future strategy. The study provides a new decision-making approach.

OBJECTIVE: Does student clinical performance differ according to healthcare sector? Does student clinical performance at Macquarie University differ from other Australian graduate entry-level programs?
METHODS: A longitudinal observational study with comparison to national data.
METHODS: A total of 284 physiotherapy students from Macquarie University.
METHODS: Each student\'s clinical performance was evaluated by a clinical educator using the Assessment of Physiotherapy Practice (APP) tool at the end of four 5-week clinical placements. Four measures of clinical performance were analysed: Total APP score, Employability Skills, Clinical Skills and a global rating of performance. A between-group difference in the APP results of 5% was nominated a priori as large enough to be considered important.
RESULTS: Of the 1,136 placements, 533 (47%) were undertaken in the private sector. Among their four placements, 99% of students had at least one private sector placement and 70% had two or more private sector placements. There were negligible differences between private and public sector placements in Total APP scores (MD 0%, 95% CI -1 to 1), Employability Skills scores (MD 2% higher in the public sector, 95% CI 1 to 3) and Clinical Skills scores (MD 1% higher in the private sector, 95% CI -1 to 3). On the global rating of performance, 88% of placements in each sector were rated as being either good or excellent. Students in the private sector were 9% (95% CI 3 to 14) more likely to be rated as excellent compared with the public sector. There were negligible differences in clinical performance between the Macquarie University and other Australian graduate-entry students.
CONCLUSIONS: Macquarie University\'s practice of increasing private sector participation in clinical education had no adverse effects on student clinical performance, and it is likely to be beneficial in better preparing students for work in the private sector.

Previous studies suggest that the symptomatology threshold (i.e. the level and types of symptoms) for a referral to specialized palliative care might differ for doctors in different parts of the healthcare system; however, it has not yet been investigated.
To investigate if the number and level of symptoms/problems differed for patients referred from the primary and secondary healthcare sectors (i.e. general practitioner versus hospital physician).
Adult cancer patients registered in the Danish Palliative Care Database who reported their symptoms/problems at admittance to specialized palliative care between 2010 and 2017 were included. Ordinal logistic regression analyses were performed with each symptom/problem as outcome to study the association between referral sector and symptoms/problems, controlled for the effect of gender, age, cancer diagnosis and the specialized palliative care service referred to.
The study included 31,139 patients. The average age was 69 years and 49% were women. Clinically neglectable associations were found between referral sector and pain, appetite loss, fatigue, number of symptoms/problems, number of severe symptoms/problems (odds ratios between 1.05 and 1.20, all p < 0.05) and physical functioning (odds ratio = 0.81 (inpatient care) and 1.32 (outpatient), both p < 0.05). The remaining six outcomes were not significantly associated with referral sector.
Differences across healthcare sectors in, for example, competences and patient population did not seem to result in different symptomatology thresholds for referring patients to palliative care since only small, and probably not clinically relevant, differences in symptomatology was found across referral sectors.

The advancement of health care information technology and the emergence of artificial intelligence has yielded tools to improve the quality of various health care processes. Few studies have investigated employee perceptions of artificial intelligence implementation in Saudi Arabia and the Arabian world. In addition, limited studies investigated the effect of employee knowledge and job title on the perception of artificial intelligence implementation in the workplace.
The aim of this study was to explore health care employee perceptions and attitudes toward the implementation of artificial intelligence technologies in health care institutions in Saudi Arabia.
An online questionnaire was published, and responses were collected from 250 employees, including doctors, nurses, and technicians at 4 of the largest hospitals in Riyadh, Saudi Arabia.
The results of this study showed that 3.11 of 4 respondents feared artificial intelligence would replace employees and had a general lack of knowledge regarding artificial intelligence. In addition, most respondents were unaware of the advantages and most common challenges to artificial intelligence applications in the health sector, indicating a need for training. The results also showed that technicians were the most frequently impacted by artificial intelligence applications due to the nature of their jobs, which do not require much direct human interaction.
The Saudi health care sector presents an advantageous market potential that should be attractive to researchers and developers of artificial intelligence solutions.

OBJECTIVE: The aim of this study was to explore nurses\' perceptions of climate and environmental issues and examine how nurses perceive their role in contributing to the process of sustainable development.
BACKGROUND: Climate change and its implications for human health represent an increasingly important issue for the healthcare sector. According to the International Council of Nurses Code of Ethics, nurses have a responsibility to be involved and support climate change mitigation and adaptation to protect human health.
METHODS: This is a descriptive, explorative qualitative study.
METHODS: Nurses (n = 18) were recruited from hospitals, primary care and emergency medical services; eight participated in semi-structured, in-depth individual interviews and 10 participated in two focus groups. Data were collected from April-October 2013 in Sweden; interviews were transcribed verbatim and analysed using content analysis.
RESULTS: Two main themes were identified from the interviews: (i) an incongruence between climate and environmental issues and nurses\' daily work; and (ii) public health work is regarded as a health co-benefit of climate change mitigation. While being green is not the primary task in a lifesaving, hectic and economically challenging context, nurses\' perceived their profession as entailing responsibility, opportunities and a sense of individual commitment to influence the environment in a positive direction.
CONCLUSIONS: This study argues there is a need for increased awareness of issues and methods that are crucial for the healthcare sector to respond to climate change. Efforts to develop interventions should explore how nurses should be able to contribute to the healthcare sector\'s preparedness for and contributions to sustainable development.