Online Learning Diaries: The Voices of Allied Health Students During Covid-19 Pandemic

The COVID-19 pandemic has brought an exceptional transformation in the education system worldwide. Literature indicated the impact of COVID-19 on students’ online learning experience, yet there is limited study on the online learning experience of allied health students. Thus, the study explored the online learning experience of allied health students. The study utilized the qualitative research method. Thirteen respondents participated in the study and were selected using snowball and purposive sampling methods. A semi-structured interview was done to obtain relevant information about the study. Thematic analysis was used to analyze the collected data. The result of the study revealed that students have positive and negative experiences in online learning. Positive experiences include flexible learning opportunities and fosters learning opportunities, while negative experiences include technological factors, teacher factors, student factors, and health factors. The study revealed that the participants used the coping mechanisms: student’s self-efficacy: optimism and time management, staying connected with God, supporting the system, and social and recreational activities. The impact of the online learning experience on their career development includes inadequate clinical competence, worries about the future outcome, and traditional vs. online learning preference. Despite the accessibility and popularity of online learning in today’s world, the study found that allied health students had yet to recognize its value in their professional development. Keywords: skills-based, clinical learning environment, coping strategie

Analysis of Multiple-Choice Questions (MCQs): Item and Test Statistics from the 2nd Year Nursing Qualifying Exam in a University in Cavite, Philippines

Multiple Choice Questions (MCQs) is used extensively as a test format in nursing education.However, making MCQs still remains a challenge to educators. To avoid issues about itsquality, this should undergo item analysis. Thus, the study evaluated item and test qualityusing difficulty index (DIF) and discrimination indices (DI), with distractor efficiency (DE);determined the reliability using Kuder-Richardson 20 coefficients (KR20); and identifiedwhich valid measure was developed. The study was conducted among 41 level two nursingstudents in the College of Nursing. The qualifying examination comprised of 194 MCQs.Data were entered in Microsoft Excel 2010 and SPSS22 and were analyzed. According toDIF, out of 194 items, 115 (59.3%) had right difficulty and 79 (40.7%) were difficult.Regarding DI, 17 (8.8%) MCQs were considered very good items to discriminate the low andhigh performer students. While 21 (10.8%), 32 (16.5%), 24 (12.4%), and 100 (51.5%)demonstrated good, fair quality, potentially poor, and potentially very poor items,respectively. On the other hand, the number of items that had 100% distractor effectiveness is57 (29.4%), as 65 (33.5%), 49 (25.3%), and 23 (11.9%) revealed 66.6%, 33.3% and 0%,respectively. The reliability of the test using KR20 is 0.9, suggesting that the test is highlyreliable with considered good internal consistency. After careful analysis of each item, 55(28.35%) items were retained without revisions. Further, the stem of the 24 (12.37%) items,the distractors of the 66 (34.02%) items and both the stem and distractors of 46 (23.71%)items were modified, and 3 (1.55%) items were removed. The researcher recommends doingan analysis between upper and lower scorers and its relationship to DE. For future study, itwill be beneficial to explore other factors like student’s ability, quality of instructions, andnumber of students in relation to quality of MCQs

Methods for Developing a Process Design Space Using Retrospective Data

Prospectively planned designs of experiments (DoEs) offer a valuable approach to preventing collinearity issues that can result in statistical confusion, leading to misinterpretation and reducing the predictability of statistical models. However, it is also possible to develop models using historical data, provided that certain guidelines are followed to enhance and ensure proper statistical modeling. This article presents a methodology for constructing a design space using process data, while avoiding the common pitfalls associated with retrospective data analysis. For this study, data from a real wet granulation process were collected to pragmatically illustrate all the concepts and methods developed in this article

Development of a Carvedilol oral liquid formulation for paediatric use

Carvedilol (CARV) is an 'off-label' β-blocker drug to treat cardiovascular diseases in children. Since CARV is nearly insoluble in water, only CARV solid forms are commercialized. Usually, CARV tablets are manipulated to prepare an extemporaneous liquid formulation for children in hospitals. We studied CARV to improve its aqueous solubility and develop an oral solution. In this study, we assessed the solubility and preliminary stability of CARV in different pH media. Using malic acid as a solubility enhancer had satisfactory results. We studied the chemical, physical, and microbiological stability of 1 mg/mL CARV-malic acid solution. A design of experiment (DoE) was used to optimize the CARV solution's preparation parameters. A 1 mg/mL CARV solution containing malic acid was stable for up to 12 months at 25 °C and 30 °C and 6 months at 40 °C. An equation associating malic acid with CARV concentrations was obtained using DoE. Microbiological data showed that the use of methylparaben was not necessary for this period of time. We successfully developed an aqueous CARV solution suitable for paediatrics and proven to be stable over a 12-month period

Određivanje aglikona flavonoida iz vrsta roda Sideritis (Lamiaceae) iz Makedonije pomoću HPLC UV DAD

Flavonoids obtained from Sideritis species (Lamiaceae), S. raeseri and S. scardica, grown in Macedonia were studied. Qualitative and quantitative analyses of the flavonoid aglycones were performed using high-performance liquid chromatography (HPLC) with a UV diode array detector. Extracts were prepared by acid hydrolysis in acetone, reextraction in ethyl acetate and evaporation to dryness; the residue dissolved in methanol was subjected to HPLC analysis. Isoscutellarein, chryseriol and apigenin were identified in the extracts. Also, a 4’-methyl ether derivative of isoscutellarein was found, together with hypolaetin and its methyl ether derivative, which were identified according to previously isolated glycosides and literature data. Quantitation was performed using calibration with apigenin. According to this screening analysis, the samples of the genus Sideritis from Macedonia are rich in polyhydroxy flavones and analogous with the previously studied Mediterranean Sideritis species from the Ibero-North African and Greek Sideritis species with respect to the presence of 8-OH flavones and their derivatives.U radu su proučavani flavonoidi dobiveni iz Sideritis vrsta (Lamiaceae), S. raeseri i S. scardica, porijeklom iz Makedonije. Kvalitativna i kvantitativna analiza aglikona flavonoida provedena je pomoću tekućinske kromatografije visoke učinkovitosti (HPLC) s UV detektorom. Ekstrakti su pripravljeni kiselom hidrolizom u acetonu, te ponovnom ekstrakcijom etil-acetatom. Ostatak nakon uparavanja je otopljen u metanolu i analiziran pomoću HPLC. Usporedbom s ranije izoliranim glikozidima i s literaturnim podacima u ekstraktima su identifirani izoskutelarein, krizeriol, apigenin, 4\u27-metil eterski derivat izoskutelareina, hipolaetin te njegov metil eter. Kvantifikacija je provedena pomoću kalibracijske krivulje za apigenin. Rezultati ukazuju da su uzorci Sideritis roda iz Makedonije bogati polihidroksiflavonima kao i ranije proučavane mediteranske Sideritis vrste iz sjeverne Afrike i Grčke Sideri

An epidemiological model for prediction of endometrial cancer risk in Europe

Endometrial cancer (EC) is the fourth most frequent cancer in women in Europe, and as its incidence is increasing, prevention strategies gain further pertinence. Risk prediction models can be a useful tool for identifying women likely to benefit from targeted prevention measures. On the basis of data from 201,811 women (mostly aged 30–65 years) including 855 incident EC cases from eight countries in the European Prospective Investigation into Cancer and Nutrition cohort, a model to predict EC was developed. A step-wise model selection process was used to select confirmed predictive epidemiologic risk factors. Piece-wise constant hazard rates in 5-year age-intervals were estimated in a cause-specific competing risks model, five-fold-cross-validation was applied for internal validation. Risk factors included in the risk prediction model were body-mass index (BMI), menopausal status, age at menarche and at menopause, oral contraceptive use, overall and by different BMI categories and overall duration of use, parity, age at first full-term pregnancy, duration of menopausal hormone therapy and smoking status (specific for pre, peri- and post-menopausal women). These variables improved the discriminating capacity to predict risk over 5 years from 71 % for a model based on age alone to 77 % (overall C statistic), and the model was well-calibrated (ratio of expected to observed cases = 0.99). Our model could be used for the identification of women at increased risk of EC in Western Europe. To achieve an EC-risk model with general validity, a large-scale cohort-consortium approach would be needed to assess and adjust for population variation

Evaluating the Potential of Polygenic Risk Score to Improve Colorectal Cancer Screening

Background: Colorectal cancer has high incidence and associ-ated mortality worldwide. Screening programs are recommended for men and women over 50. Intermediate screens such as fecal immunochemical testing (FIT) select patients for colonoscopy with suboptimal sensitivity. Additional biomarkers could improve the current scenario. Methods: We included 2,893 individuals with a positive FIT test. They were classified as cases when a high-risk lesion for colorectal cancer was detected after colonoscopy, whereas the control group comprised individuals with low-risk or no lesions. 65 colorectal cancer risk genetic variants were geno-typed. Polygenic risk score (PRS) and additive models for risk prediction incorporating sex, age, FIT value, and PRS were generated. Results: Risk score was higher in cases compared with controls [per allele OR = 1.04; 95% confidence interval (CI), 1.02-1.06; P = 65), compared with those in the first decile (<= 54; OR = 2.22; 95% CI, 1.59-3.12; P < 0.0001). The model combining sex, age, FIT value, and PRS reached the highest accuracy for identifying patients with a high-risk lesion [cross-validated area under the ROC curve (AUROC): 0.64; 95% CI, 0.62-0.66]. Conclusions: This is the first investigation analyzing PRS in a two-step colorectal cancer screening program. PRS could improve current colorectal cancer screening, most likely for higher at-risk subgroups. However, its capacity is limited to predict colorectal cancer risk status and should be complemented by additional biomarkers.Impact: PRS has capacity for risk stratification of colorectal cancer suggesting its potential for optimizing screening strategies alongside with other biomarkers

Insulin-like growth factor I and risk of epithelial invasive ovarian cancer by tumour characteristics: results from the EPIC cohort

Background: Prospective studies on insulin-like growth factor I (IGF-I) and epithelial ovarian cancer (EOC) risk are inconclusive. Data suggest risk associations vary by tumour characteristics. Methods: We conducted a nested case-control study in the European Prospective Investigation into Cancer and Nutrition (EPIC) to evaluate IGF-I concentrations and EOC risk by tumour characteristics (n=565 cases). Multivariable conditional logistic regression models were used to estimate associations. Results: We observed no association between IGF-I and EOC overall or by tumour characteristics. Conclusions: In the largest prospective study to date was no association between IGF-I and EOC risk. Pre-diagnostic serum IGF-I concentrations may not influence EOC risk

Circulating concentrations of vitamin D in relation to pancreatic cancer risk in European populations

Evidence from in vivo, in vitro and ecological studies are suggestive of a protective effect of vitamin D against pancreatic cancer (PC). However, this has not been confirmed by analytical epidemiological studies. We aimed to examine the association between pre-diagnostic circulating vitamin D concentrations and PC incidence in European populations. We conducted a pooled nested case-control study within the European Prospective Investigation into Cancer and Nutrition (EPIC) and the Nord-Trøndelag Health Study's second survey (HUNT2) cohorts. In total, 738 primary incident PC cases (EPIC n = 626; HUNT2 n = 112; median follow-up = 6.9 years) were matched to 738 controls. Vitamin D [25(OH)D2 and 25(OH)D3 combined] concentrations were determined using isotope-dilution liquid chromatography-tandem mass spectrometry. Conditional logistic regression models with adjustments for body mass index and smoking habits were used to estimate incidence rate ratios (IRRs) and 95% confidence intervals (95%CI). Compared with a reference category of >50 to 75 nmol/L vitamin D, the IRRs (95% CIs) were 0.71 (0.42–1.20); 0.94 (0.72–1.22); 1.12 (0.82–1.53) and 1.26 (0.79–2.01) for clinically pre-defined categories of ≤25; >25 to 50; >75 to 100; and >100 nmol/L vitamin D, respectively (p for trend = 0.09). Corresponding analyses by quintiles of season-standardized vitamin D concentrations also did not reveal associations with PC risk (p for trend = 0.23). Although these findings among participants from the largest combination of European cohort studies to date show increasing effect estimates of PC risk with increasing pre-diagnostic concentrations of vitamin D, they are not statistically significant

Acrylamide and Glycidamide Hemoglobin Adducts and Epithelial Ovarian Cancer: A Nested Case-Control Study in Nonsmoking Postmenopausal Women from the EPIC Cohort

Background: Acrylamide was classified as “probably carcinogenic to humans (group 2A)” by the International Agency for Research on Cancer. Epithelial ovarian cancer (EOC) is the fourth cause of cancer mortality in women. Five epidemiological studies have evaluated the association between EOC risk and dietary acrylamide intake assessed using food frequency questionnaires, and one nested case–control study evaluated hemoglobin adducts of acrylamide (HbAA) and its metabolite glycidamide (HbGA) and EOC risk; the results of these studies were inconsistent. Methods: A nested case–control study in nonsmoking postmenopausal women (334 cases, 417 controls) was conducted within the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort. Unconditional logistic regression models were used to estimate ORs and 95% confidence intervals (CI) for the association between HbAA, HbGA, HbAA+HbGA, and HbGA/HbAA and EOC and invasive serous EOC risk. Results: No overall associations were observed between biomarkers of acrylamide exposure analyzed in quintiles and EOC risk; however, positive associations were observed between some middle quintiles of HbGA and HbAA+HbGA. Elevated but nonstatistically significant ORs for serous EOC were observed for HbGA and HbAA+HbGA (ORQ5vsQ1, 1.91; 95% CI, 0.96–3.81 and ORQ5vsQ1, 1.90; 95% CI, 0.94–3.83, respectively); however, no linear dose–response trends were observed. Conclusion: This EPIC nested case–control study failed to observe a clear association between biomarkers of acrylamide exposure and the risk of EOC or invasive serous EOC. Impact: It is unlikely that dietary acrylamide exposure increases ovarian cancer risk; however, additional studies with larger sample size should be performed to exclude any possible association with EOC risk