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1.
Ann Med Surg (Lond) ; 86(5): 2562-2571, 2024 May.
Article En | MEDLINE | ID: mdl-38694302

Background: Increased COVID-19 transmission among the populace may be caused by healthcare workers (HCWs) who lack knowledge, awareness, and good preventive practices. Additionally, it may cause elevated stress levels, anxiety, poor medical judgement, and situational overestimation. Objectives: The present survey aimed to assess knowledge and risk perception regarding COVID-19 among HCWs in Khyber Pakhtunkhwa (KP), Pakistan. Methodology: A web-based online, pre-tested questionnaire comprising 26 items was circulated via social media in April 2020 amongst HCWs in major tertiary care facilities in KP. Results: The study's results, revealing both the commendable knowledge levels among HCWs about COVID-19 and their heightened risk perception, highlight the critical need for targeted interventions to address the potential impact on self-protective behaviour and mental health within this vital workforce. This insight is important for designing strategies that not only enhance HCWs' well-being but also ensure the continued effectiveness of healthcare delivery during pandemics. The percentage mean score (PMS) of COVID-19 knowledge was 85.14±10.82. Male HCWs and those with an age older than or equal to 32 years demonstrated a higher knowledge score (85.62±11.08; P=0.032 and 87.59±7.33, P=0.021, respectively). About 76% of HCWs feared contracting COVID-19. Nearly 82% of respondents were mentally preoccupied with the pandemic and also terrified of it. 'Of these, 81% were nurses, 87% had a job experience of 6-8 years and 54.45% were frontline workers. Feelings of panic and concern about the pandemic were found to be more in HCWs who were physicians above the age of 32, and who had 3-5 years of work experience. HCWs' overall risk perception was found to be significantly different between males (7.04±2.26) and females (8.01±1.97), job experience of 6-10 years (8.04±177) with 3-5 years and younger than or equal to 2 years job experience (7.18±2.43,6.93±2.22), respectively, and between frontline HCWs (7.50±2.10) and non-frontline HCWs (6.84±2.40). Conclusion: HCWs demonstrated good knowledge about COVID-19. As the risk perception of COVID-19 among HCWs is high, it can raise concerns about their self-protective behaviour, and mental health. These issues need to be addressed.

2.
Clin Chim Acta ; 552: 117685, 2024 Jan 01.
Article En | MEDLINE | ID: mdl-38030031

Hemoglobin (Hb) abnormalities, such as thalassemia and structural Hb variants, are among the most prevalent inherited diseases and are associated with significant mortality and morbidity worldwide. However, there were not comprehensive reviews focusing on different clinical analytical techniques, research methods and artificial intelligence (AI) used in clinical screening and research on hemoglobinopathies. Hence the review offers a comprehensive summary of recent advancements and breakthroughs in the detection of aberrant Hbs, research methods and AI uses as well as the present restrictions anddifficulties in hemoglobinopathies. Recent advances in cation exchange high performance liquid chromatography (HPLC), capillary zone electrophoresis (CZE), isoelectric focusing (IEF), flow cytometry, mass spectrometry (MS) and polymerase chain reaction (PCR) etc have allowed for the definitive detection by using advanced AIand portable point of care tests (POCT) integrating with smartphone microscopic classification, machine learning (ML) model, complete blood counts (CBC), imaging-based method, speedy immunoassay, and electrochemical-, microfluidic- and sensing-related platforms. In addition, to confirm and validate unidentified and novel Hbs, highly specialized genetic based techniques like PCR, reverse transcribed (RT)-PCR, DNA microarray, sequencing of genomic DNA, and sequencing of RT-PCR amplified globin cDNA of the gene of interest have been used. Hence, adequate utilization and improvement of available diagnostic and screening technologies are important for the control and management of hemoglobinopathies.


Hemoglobinopathies , Hemoglobins, Abnormal , Thalassemia , Humans , Hemoglobins, Abnormal/genetics , Hemoglobins, Abnormal/analysis , Artificial Intelligence , Hemoglobinopathies/diagnosis , Hemoglobinopathies/genetics , Hemoglobins/analysis , Isoelectric Focusing , Chromatography, High Pressure Liquid
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