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1.
Information Systems Management ; 2023.
Article in English | Scopus | ID: covidwho-2245676

ABSTRACT

This paper employed an integrated model for examining behavioral intention to adopt blockchain technology in the supply chain management of manufacturing industries in Bangladesh. The proposed conceptual model was empirically tested using data collected from 189 supply chain managers working in manufacturing organizations in Bangladesh. The findings suggest that perceived usefulness, trading partners' pressure, and competitive pressure are the most important determinant of behavioral intention. © 2023 Taylor & Francis.

2.
J Endocr Soc ; 6(Suppl 1):A331, 2022.
Article in English | PubMed Central | ID: covidwho-2119540

ABSTRACT

Introduction: & Background: Diabetes in COVID-19 patients is individual risk factor and documented in worldwide studies to contribute to disease severity, increased length of stay and higher mortality (fig-1). Aggressive management of blood sugars and acute diabetic complications reduce the length of stay and mortality. Methods: Randomly selected 200 patients admitted with diabetes and COVID-19 studied. The unified treatment protocol (fig-2) applied for all patients and blood sugars monitored closely and optimized. Data collected on bimonthly basis and analyzed. Patients’ characteristics taken from data extraction tool (Oasis) of hospital. Median values for length of stay and post discharge FBS and RBS were calculated Microsoft Excel tool. Mortality rates calculated by percentages. Results: 200 patients studied in the 4 months study period. The median length of stay was 3 days. The mortality rate was 2.5% (fig-3,4). The median FBS and RBS in the patient group monitored in the post discharge clinic was 130 mg/dl and 170 mg/dl respectively. The results compared with the standard international studies. Discussion: Diabetes in COVID-19 patients posed great challenge as increased severity and mortalities reported compared to non-diabetic. Taking a pre-emptive strategy to combat this problem by aggressively manage diabetes help in reducing length of stay and morbidity. The length of stay in studded population was 3 days as compared to 13 days in a major international study(Ref: 1) . Financial saving come from rapid turnover of beds. The mortality was 2.5% compared to reported 7.3% in a major study (Ref: 2), reflecting the implications of aggressive management of diabetes. Regular follow-up and support by running post-discharge clinic definitely help reducing readmissions and acute complications of uncontrolled diabetes. Conclusion: Aggressive management of diabetes in COVID-19 patients by tailored treatment protocols and dedicated teams will help to decrease the morbidity and mortality.Presentation: No date and time listed

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