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Usage of cloud storage facilities by medical students in a low-middle income country, Sri Lanka: a cross sectional study.

ABSTRACT: BACKGROUND:Cloud storage facilities (CSF) has become popular among the internet users. There is limited data on CSF usage among university students in low middle-income countries including Sri Lanka. In this study we present the CSF usage among medical students at the Faculty of Medicine, University of Kelaniya. METHODS:We undertook a cross sectional study at the Faculty of Medicine, University of Kelaniya, Sri Lanka. Stratified random sampling was used to recruit students representing all the batches. A self-administrated questionnaire was given. RESULTS:Of 261 (90.9%) respondents, 181 (69.3%) were females. CSF awareness was 56.5% (95%CI: 50.3-62.6%) and CSF usage was 50.8% (95%CI: 44.4-57.2%). Awareness was higher in males (P?=?0.003) and was low in senior students. Of CSF aware students, 85% knew about Google Drive and 70.6% used it. 73.6 and 42.1% knew about Dropbox and OneDrive. 50.0 and 22.0% used them respectively. There was no association between CSF awareness and pre-university entrance or undergraduate examination performance. Inadequate knowledge, time, accessibility, security and privacy concerns limited CSF usage. 69.8% indicated that they would like to undergo training on CSF as an effective tool for education. CONCLUSION:CSF awareness and usage among the students were 56.5 and 50.8%. Google drive is the most popular CSF. Lack of knowledge, accessibility, concerns on security and privacy limited CSF usage among students. Majority were interested to undergo training on CSF and undergraduate Information Communication Technology (ICT) curricula should introduce CSF as effective educational tools.

SUBMITTER: Hettige S

PROVIDER: S-EPMC6986067 | biostudies-literature | 2020 Jan

REPOSITORIES: biostudies-literature

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Usage of cloud storage facilities by medical students in a low-middle income country, Sri Lanka: a cross sectional study.

Hettige Samankumara S Dasanayaka Eshani E Ediriweera Dileepa Senajith DS

BMC medical informatics and decision making 20200128 1

<h4>Background</h4>Cloud storage facilities (CSF) has become popular among the internet users. There is limited data on CSF usage among university students in low middle-income countries including Sri Lanka. In this study we present the CSF usage among medical students at the Faculty of Medicine, University of Kelaniya.<h4>Methods</h4>We undertook a cross sectional study at the Faculty of Medicine, University of Kelaniya, Sri Lanka. Stratified random sampling was used to recruit students represe ...[more]

PMID: 31992273

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Project description:BackgroundNeurophobia is the fear of neurosciences held by medical students and doctors. The present study aims to identify whether Neurology is considered a difficult subject by medical students and non-specialist doctors from Sri Lanka and evaluate reasons for such perceived difficulties.MethodsThe study was conducted from May-June 2008. One hundred non-specialist doctors from the Colombo South Teaching Hospital and 150 medical students from the University of Sri Jayewardenepura were invited for the study. Data were collected by a pre-tested expert-validated self-administered questionnaire, designed to assess the degree of perceived difficulty, confidence, interest and knowledge of Neurology as compared to other subjects. It also evaluated reasons and probable strategies to overcome the perceived difficulties and/or lack of interests.ResultsAll non-specialist doctors and 148 medical students responded to the questionnaire (response rate-99.2%). The most favourite subject among medical students and non-specialist doctors were Cardiology and Endocrinology respectively, while Neurology was ranked third. In all participants the current level of interest was most for Cardiology (3.52±1.36), while Neurology was the least interesting specialty for majority of medical students (18.5%) and non-specialist doctors (25.0%). The current level of knowledge among medical students was most for Cardiology (3.12±0.86), while Neurology (2.53±0.96) was ranked fifth. The most difficult specialty for majority of medical students (50.0%) and non-specialist doctors (41.7%) was Neurology. All the participants were least confident when dealing with patients with headache (2.20±0.81), numbness of feet (2.07±0.79) and dizziness (2.07±0.78) when compared to dealing with other non-neurological complaints. The commonest reasons 'why Neurology was felt to be a difficult subject' were; the need to know basic neuro-anatomy and having a complex clinical examination. Participants' felt that clinical/hospital based teaching (3.49±0.65), case discussions (3.45±0.68) and teaching aids (3.10±0.89) would be the most important teaching strategies to improve their competency in Neurology.ConclusionNeurology is considered a difficult subject by undergraduates and non-specialist doctors of Sri Lanka. The main reason for the perceived difficulty was the lack of understanding of basic sciences and deficiencies in clinical teaching. This lack of confidence could have a significant impact on patient care.

Project description:BackgroundThe use of severity of illness scoring systems such as the Acute Physiology and Chronic Health Evaluation in lower-middle income settings comes with important limitations, primarily due to data burden, missingness of key variables and lack of resources. To overcome these challenges, in Asia, a simplified model, designated as e-TropICS was previously developed. We sought to externally validate this model using data from a multi-centre critical care registry in India.MethodsSeven ICUs from the Indian Registry of IntenSive care(IRIS) contributed data to this study. Patients > 18 years of age with an ICU length of stay > 6 hours were included. Data including age, gender, co-morbidity, diagnostic category, type of admission, vital signs, laboratory measurements and outcomes were collected for all admissions. e-TropICS was calculated as per original methods. The area under the receiver operator characteristic curve was used to express the model's power to discriminate between survivors and non-survivors. For all tests of significance, a 2-sided P less than or equal to 0.05 was considered to be significant. AUROC values were considered poor when ≤ to 0.70, adequate between 0.71 to 0.80, good between 0.81 to 0.90, and excellent at 0.91 or higher. Calibration was assessed using Hosmer-Lemeshow C -statistic.ResultsWe included data from 2062 consecutive patient episodes. The median age of the cohort was 60 and predominantly male (n = 1350, 65.47%). Mechanical Ventilation and vasopressors were administered at admission in 504 (24.44%) and 423 (20.51%) patients respectively. Overall, mortality at ICU discharge was 10.28% (n = 212). Discrimination (AUC) for the e-TropICS model was 0.83 (95% CI 0.812-0.839) with an HL C statistic p value of < 0.05. The best sensitivity and specificity (84% and 72% respectively) were achieved with the model at an optimal cut-off for probability of 0.29.Conclusione-TropICS has utility in the care of critically unwell patients in the South Asia region with good discriminative capacity. Further refinement of calibration in larger datasets from India and across the South-East Asia region will help in improving model performance.

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Dataset Information

Usage of cloud storage facilities by medical students in a low-middle income country, Sri Lanka: a cross sectional study.

Publications

Usage of cloud storage facilities by medical students in a low-middle income country, Sri Lanka: a cross sectional study.

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