Objective: To assess the facilities and challenges encountered in the clinical laboratories, satisfaction of the medical laboratory staff (MLS) toward their profession and their views on the role of related health institutions during the first wave of the Coronavirus Disease 2019 (COVID-19) pandemic in Nepal.
Methods: A web-based cross-sectional study was conducted among registered MLS in Nepal. Data were collected using a structured self-reported questionnaire on the Google Docs platform.
Results: A total of 301 respondents were enrolled in the study; of which 180 were male and 121 were female. Of the 301 respondents, a lack of infrastructure was reported by 241 (80.1%), a lack of skill development training by 204 (67.8%), limited availability of diagnostics kits by 151 (50.2%), overburdened by the workload by 142 (47.2%) and difficulty in sample management by 129 (42.9%). A total of 244 of 301 respondents (81.1%) believed that stakeholder institutions should collaborate with the government during the pandemic. The level of satisfaction during the pandemic (130 of 301; 43.19%) was found to have decreased compared with before the pandemic (203 of 301; 67.4%).
Conclusion: MLS were not fully satisfied with the available resources during the pandemic.
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http://dx.doi.org/10.1177/03000605221105356 | DOI Listing |
Sci Rep
December 2024
Department of Endocrinology, The First Clinical Medical Center of Chinese PLA General Hospital, Beijing, 100853, China.
Coronary heart disease (CHD) has been recognized as a chronic progressive inflammatory disorder, and Diabetes mellitus (DM) is an independent risk factor for the pathogenesis of CHD. Recent research has underscored the systemic immune-inflammation index (SII) as a potent prognostic indicator for individuals suffering from acute coronary syndrome (ACS). This study aimed to delve into the relationship between SII and the degree of coronary atherosclerotic stenosis in non-acute myocardial infarction patients with or without DM.
View Article and Find Full Text PDFWomens Health (Lond)
December 2024
Department of Pharmacy, College of Health Sciences, Wollaga University, Nekemte, Ethiopia.
Background: Women's empowerment is essential for achieving sustainable development goals. It involves enabling women to take control of their lives by giving them the agency, resources, and opportunities they need to make their own choices and reach their full potential. If more women are empowered to use modern contraceptives, greater reductions in maternal mortality will follow.
View Article and Find Full Text PDFArch Clin Neuropsychol
December 2024
Department of Psychology, School of Social Sciences, Humanities and Law, Teesside University, Borough Road, Middlesbrough TS1 3BX, UK.
Background: Multiple sclerosis (MS) is a potentially disabling disease of the brain and spinal cord. This cross-sectional study aimed to validate the Arabic version of the Multiple Sclerosis Impact Scale-29 (MSIS-29) using Rasch analysis to assess quality of life in Jordanian MS patients.
Method: Rasch analysis was conducted to evaluate the suitability of the model for the present study.
Background: Measuring palliative care quality requires the application of evaluation methods to compare clinically meaningful groups of patients across different settings. Such protocols are currently lacking in Poland. The Australian Palliative Care Outcome Collaboration (PCOC) concept of Palliative phases precisely defines patients, enables episodes of care extraction for benchmarking and further assessment of service delivery.
View Article and Find Full Text PDFFront Public Health
December 2024
Department of Critical Care Medicine, Tianjin Medical University General Hospital, Tianjin, China.
Background: This study aimed to describe the temporal trends in the age and sex burdens of lower respiratory infections (LRIs) in China and globally from 1990 to 2021 and to analyze their epidemiological characteristics to formulate corresponding strategies to control LRIs.
Methods: This study utilized open data from the Global Burden of Disease (GBD) database from 1990 to 2021 to assess the burden of disease based on the prevalence, incidence, mortality, years lost (YLLs), years lived with disability (YLDs), and disability-adjusted life-years (DALYs) of LRIs in China and globally. Moreover, a comprehensive comparative analysis of the epidemiological characteristics of LRIs in China and globally was conducted via the Joinpoint regression model, age-period-cohort model (APC model), and stratified analysis of the study method from multiple dimensions, such as age, sex, and period.
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