OBJECTIVE: The aim of this study was to assess the economic burden of COPD in Malaysia, including direct costs for the management of COPD and indirect costs due to productivity losses for COPD patients.
METHODOLOGY: Overall, 150 patients with an established diagnosis of COPD were followed-up for a period of 1 year from August 2018 to August 2019. An activity-based costing, 'bottom-up' approach was used to calculate direct costs, while indirect costs of patients were assessed using the Work Productivity and Activity Impairment Questionnaire.
RESULTS: The mean annual per-patient direct cost for the management of COPD was calculated as US$506.92. The mean annual costs per patient in the management phase, emergency department visits, and hospital admissions were reported as US$395.65, US$86.4, and US$297.79, respectively; 31.66% of COPD patients visited the emergency department and 42.47% of COPD patients were admitted to the hospital due to exacerbation. The annual mean indirect cost per patient was calculated as US$1699.76. Productivity losses at the workplace were reported as 31.87% and activity limitations were reported as 17.42%.
CONCLUSION: Drugs and consumables costs were the main cost-driving factors in the management of COPD. The higher ratio of indirect cost to direct medical costs shows that therapeutic interventions aimed to prevent work productivity losses may reduce the economic burden of COPD.
BACKGROUND: Global shortages of nursing professionals have been concerning issues of extreme vitality in the delivery of superior services. Though the state-of-the-art system provides relief, the hospital management continued worrying about losing highly skilled nursing professionals due to a higher level of emotional exhaustion exhibiting progressive turnover.
METHODS: A survey technique was employed for data collection from nurses. Further data were analysed by structural equation modelling in the light of 313 substantial responses by using SmartPLS.
RESULTS: The findings revealed that leader emotional intelligence impulses critical constructive effects by fulfilling the needs of nurses and has an impact on their turnover intentions simultaneously.
CONCLUSION: The research provides an empirical lens of leadership and culture, which noticeably explain turnover intention. This study affirmed solid connections amongst the leader emotional intelligence, team culture and turnover intentions.
IMPLICATIONS FOR NURSING MANAGEMENT: The study provides valuable insight for health management organisations to focus on factors that decrease the turnover intention of nurses. Considering a global shortage of nurses, nursing management must consider crucial aspects of the work environment and plan interventions to restrain nursing turnover intentions.
OBJECTIVE: To examine the psychological impact of COVID-19 on emergency HCWs and to understand how they are dealing with COVID-19 pandemic, their stress coping strategies or protective factors, and challenges while dealing with COVID-19 patients.
METHODS: Using a framework thematic analysis approach, 15 frontline emergency HCWs directly dealing with COVID-19 patients from April 2, 2020 to April 25, 2020. The semi-structured interviews were conducted face-to-face or by telephone. Data were analyzed using thematic analysis.
RESULTS: Findings highlighted first major theme of stress coping, including, limiting media exposure, limited sharing of Covid-19 duty details, religious coping, just another emergency approach, altruism, and second major theme of Challenges includes, psychological response and noncompliance of public/denial by religious scholar.
CONCLUSIONS: Participants practiced and recommended various coping strategies to deal with stress and anxiety emerging from COVID-19 pandemic. Media was reported to be a principal source of raising stress and anxiety among the public. Religious coping as well as their passion to serve humanity and country were the commonly employed coping strategies.
Methods: The initial part of this study is a descriptive cross-sectional study involving data collection from all requests sent for group, screen, and hold (GSH) and group and cross match (GXM) tests from 2011 to 2017. The association between sociodemographic, workplace, and experience factors with near-miss events amongst HO was analyzed with a case-control study using logistic regression.
Results: We reported 83 near-miss events with a prevalence of 0.034% (95% confidence interval 0.027-0.042). The rate of near-miss events was one in every 2916 requests. The mean reporting rate was 11.9 events per year. Clinical near miss predominated at 89.2% compared to 10.8% laboratory near miss. Mislabeled events (33.7%) were more than miscollected events (10.8%). HO were implicated with most events (83.1%). Most events were predominantly in the medical and obstetrics and gynecology wards amounting to 31.3% each. We found a significant association between the ages of HO with near-miss events.
Conclusions: The prevalence of near-miss events in our hospital was relatively low. Our study has shown areas for improvement include improving sampling practices in clinical areas, adequate training of laboratory technicians, and providing proper transfusion education. Interventions such as encouraging compliance to guidelines and training in clinical and laboratory areas to minimize the risk of mistransfusion should be considered.
METHODS: This cross-sectional study was conducted among randomly-selected 715 female nurses in Malaysia using pencil-and-paper self-reported questionnaires.
RESULTS: The majority of participants were ever married (87.0%), having children (76.2%), and work in hospital setting (64.8%). The level of household stressors was generally similar between hospital and non-hospital nurses. However, hospital nurses significantly perceived higher level of workplace stressors. Shift work is significantly associated with higher level of household and workplace stressors among nurses in both groups. The level of stress was significantly higher among hospital nurses. Both household and workplace stressors explained about 40% of stress status in both hospital and non-hospital nurses.
CONCLUSION: Hospital nurses are at higher risk of having stressors and stress as compared to non-hospital nurses, probably due to higher proportion of them involved in shift work. Hospital nurses should be given high priority in mitigating stress among nurses.
METHODS: A cross-sectional questionnaire-based survey was employed, and a convenience sampling was opted to collect the data among physicians, pharmacists and nurses working in tertiary care public hospitals of Lahore, Pakistan from September 2018 to January 2019.
RESULTS: Of the 384 questionnaires distributed, 346 health care professionals responded to the questionnaire (90.10% response rate). Most participants had good knowledge about ADR reporting, but pharmacist had comparatively better knowledge than other HCPs regarding ADR (89.18%) pharmacovigilance system (81.08%), its centres (72.97%) and function (91.89%). Most of the participants exhibited positive attitude regarding ADR reporting, such as 49.1% of physicians (P
METHODOLOGY: A qualitative case study approach was used to explore and understand how doctors volunteering online balances between work and family in a Health Virtual Community called DoktorBudak.com (DB). A total of seventeen (17) doctors were interviewed using either face-to-face, Skype, phone interview or through email.
RESULTS: The results of this study suggested that doctors perceived the physical border at their workplace as less permeable though the ICT has freed them from the restriction to perform other non-related work (such as online volunteering (OV) works) during working hours. In addition, doctors OV use ICTs to perform work at home or during working hours, they perceive their work and family borders as flexible. Furthermore, the doctors used different strategies when it came to blending, whether to segment or integrate their work and family domains.
CONCLUSION: This study has defined issues on work-family balance and OV. Most importantly this study had discussed the conceptual framework of work-family balance focusing on doctors volunteering online and how they have incorporated ICTs such as Internet technology to negotiate the work-family boundaries, which are permeable, flexible and blending.
METHODS: A cross-sectional study involving 200 tire shop workers from two districts in Kelantan was conducted. Data were collected at the field using Malay Translated HAVS questionnaire, and hand-arm vibration was measured. Multiple logistic regression analysis was used to determine the associated factors.
RESULTS: The prevalence of vascular and neurological complications of HAVS among the tire shop workers was 12.5% (95% CI: 10.16, 14.84) and 37.0% (95% CI: 30.31, 43.69), respectively. From multiple logistic regression analysis, only A(8) of HAV exposure was significantly associated with the development of vascular complications and A(8) of HAV exposure, age. and body mass index were significantly associated with the development of neurological complications of HAVS.
CONCLUSION: This study has identified that HAVS is a significant problem among workers exposed to HAV in a warm environment. A(8) of HAV exposure is significantly associated with the development of both vascular and neurological complications. Therefore, there is a need for better control of vibration exposure in Malaysia.
OBJECTIVES: In this manuscript, the Robotic Facial Recognition System using the Compound Classifier (RERS-CC) is introduced to improve the recognition rate of human faces. The process is differentiated into classification, detection, and recognition phases that employ principal component analysis based learning. In this learning process, the errors in image processing based on the extracted different features are used for error classification and accuracy improvements.
RESULTS: The performance of the proposed RERS-CC is validated experimentally using the input image dataset in MATLAB tool. The performance results show that the proposed method improves detection and recognition accuracy with fewer errors and processing time.
CONCLUSION: The input image is processed with the knowledge of the features and errors that are observed with different orientations and time instances. With the help of matching dataset and the similarity index verification, the proposed method identifies precise human face with augmented true positives and recognition rate.
OBJECTIVES: This paper discusses activity detection and analysis (ADA) using security robots in workplaces. The application scenario of this method relies on processing image and sensor data for event and activity detection. The events that are detected are classified for its abnormality based on the analysis performed using the sensor and image data operated using a convolution neural network. This method aims to improve the accuracy of detection by mitigating the deviations that are classified in different levels of the convolution process.
RESULTS: The differences are identified based on independent data correlation and information processing. The performance of the proposed method is verified for the three human activities, such as standing, walking, and running, as detected using the images and sensor dataset.
CONCLUSION: The results are compared with the existing method for metrics accuracy, classification time, and recall.
OBJECTIVE: In this paper, Non-linear Adaptive Heuristic Mathematical Model (NAHMM) has been proposed for the prevention of workplace violence using security Human-Robot Collaboration (HRC). Human-Robot Collaboration (HRC) is an area of research with a wide range of up-demands, future scenarios, and potential economic influence. HRC is an interdisciplinary field of research that encompasses cognitive sciences, classical robotics, and psychology.
RESULTS: The robot can thus make the optimal decision between actions that expose its capabilities to the human being and take the best steps given the knowledge that is currently available to the human being. Further, the ideal policy can be measured carefully under certain observability assumptions.
CONCLUSION: The system is shown on a collaborative robot and is compared to a state of the art security system. The device is experimentally demonstrated. The new system is being evaluated qualitatively and quantitatively.
OBJECTIVES: In this paper, the Advanced Human-Robot Collaboration Model (AHRCM) approach is to enhance the risk assessment and to make the workplace involving security robots. The robots use perception cameras and generate scene diagrams for semantic depictions of their environment. Furthermore, Artificial Intelligence (AI) and Information and Communication Technology (ICT) have utilized to develop a highly protected security robot based risk management system in the workplace.
RESULTS: The experimental results show that the proposed AHRCM method achieves high performance in human-robot mutual adaption and reduce the risk.
CONCLUSION: Through an experiment in the field of human subjects, demonstrated that policies based on the proposed model improved the efficiency of the human-robot team significantly compared with policies assuming complete human-robot adaptation.
OBJECTIVES: This paper discusses RISAPI of our original work in the field, which shows how probabilistic planning and system theory algorithms in workplace robotic systems that work with people can allow for that reasoning using a security robot system. The problem is a general way as an incomplete knowledge 2-player game.
RESULTS: In this general framework, the various hypotheses and these contribute to thrilling and complex robot behavior through real-time interaction, which transforms actual human subjects into a spectrum of production systems, robots, and care facilities.
CONCLUSION: The models of the internal human situation, in which robots can be designed efficiently, are limited, and achieve optimal computational intractability in large, high-dimensional spaces. To achieve this, versatile, lightweight portrayals of the human inner state and modern algorithms offer great hope for reasoning.
METHODS: A pre-validated questionnaire survey was done on dentists across India. Structural Equation Modelling and path analysis were applied to the data collected.
RESULTS: The results of the study supported the hypothesis that factors like physical and mental health, activities, relationship status, and workplace influenced the work-life balance directly. A significant imbalance was seen amongst the female dentists.
CONCLUSION: The present study proved the unpreparedness among dental professionals. Hence an evolutionary phase in every field with better working protocols, robust mental health support, and a focus on strategies to face future such emergencies is required.