bluuebunny/crossref_metadata_2025_split huggingface dataset:
Assessing the preparedness and feasibility of an e-learning pilot project for university level health trainees in Ghana: a cross-sectional descriptive survey
Authors: Alhassan Robert Kaba 
Published: November 2020

Abstract
Background
Ghana is challenged with shortage of critical human resources for health particularly nurses and midwives in rural hard-to-reach communities. This shortage potentially hinders efforts towards attaining universal access to basic healthcare. More importantly, poor quality of pre-service training for health trainees has the potential to worsen this predicament. There is therefore the need to leverage emerging digital innovations like e-learning to complement existing efforts. This study was conducted several months before the outbreak of COVID-19 to investigate the preparedness, acceptability and feasibility e-learning innovation for nursing and midwifery trainees.

Methods
The study is a cross-sectional descriptive survey involving nursing and midwifery students (n = 233) in one of Ghana’s public universities, located in the Volta region of Ghana. Simple random sampling technique was used to collect responses from eligible respondents using a structured questionnaire. Descriptive statistical analysis was done using STATA software (version 12.0).

Results
It was found that nearly 100% of respondents owned smartphones that were used mostly for learning purposes including sharing of academic information. Over 70% of respondents particularly used social media, social networking applications and internet searches for learning purposes. Health trainees were however constrained by low bandwidth and lack of seamless internet connectivity within their learning environments to maximize the full benefits of these e-learning opportunities.

Conclusion
Respondents were predominantly prepared for an e-learning pilot project. These feability findings suggest e-learning is a huge potential that can be used to augment existing approaches for pre-service training of health trainees in Ghana, when implementation threats are sufficiently addressed. Compelling findings of this study are therefore timely to inform evidence-based policy decisions on innovative digitial solutions for pre-service training of health workforce even as the world adapts to the "new normal" situation induced by COVID-19.
Trends in the use of health services and their relationship with multimorbidity in Brazil, 1998–2013
Authors: de Souza Ana Sara Semeão , Braga José Ueleres 
Published: November 2020

Abstract
Background
Chronic non-communicable diseases (NCDs) are the leading cause of multimorbidity. Access to effective and equitable health services that meet NCDs’ needs is still limited in many countries. This constitutes the main barrier to coping with NCDs, especially in minimising the suffering of those who are already sick. The present study aimed to identify the relationship between multimorbidity and the use of different health services in Brazil from 1998 to 2013.

Methods
This is a panel study using data from the health supplement of the National Household Sample Survey of 1998, 2003 and 2008 and data from the National Health Survey carried out in 2013. Three health service utilization outcomes were considered: 1. search for health services in the last 15 days (excluding dental services), 2. medical consultation in the previous 12 months and 3. hospitalisations over the last 12 months. Multimorbidity was assessed by counting the number of morbidities from a list of 10 morbidities. Poisson regression models stratified by sex were used to estimate the crude and adjusted prevalence ratios and their respective 95% confidence intervals for each outcome of health service use and multimorbidity, per year.

Results
There was an increase in the prevalence of demand for health services and medical consultations in the last 12 months between 1998 and 2013, regardless of the multimorbidity classification. The prevalence of hospitalisations has decreased over the study period and increased twofold in individuals with multimorbidity. Having multimorbidity increased the use of health services for the three outcomes under the study, being more expressive among men.

Conclusions
This study found that individuals with multimorbidity have higher levels of use of health services. Better understand the multimorbidity epidemiology and the associated impacts on the use and costs of health services can increase the quality of care provided to these patients and reduce rising health care costs.
Developing a coding taxonomy to analyze dental regulatory complaints
Authors: Roerig Monika , Farmer Julie , Ghoneim Abdulrahman , Gomaa Noha , Dempster Laura , Evans Krystal , La Wanda , Quiñonez Carlos 
Published: November 2020

AbstractBackgroundAs part of their mandate to protect the public, dental regulatory authorities (DRA) in Canada are responsible for investigating complaints made by members of the public. To gain an understanding of the nature of and trends in complaints made to the Royal College of Dental Surgeons of Ontario (RCDSO), Canada’s largest DRA, a coding taxonomy was developed for systematic analysis of complaints.MethodsThe taxonomy was developed through a two-pronged approach. First, the research team searched for existing complaints frameworks and integrated data from a variety of sources to ensure applicability to the dental context in terms of the generated items/complaint codes in the taxonomy. Second, an anonymized sample of complaint letters made by the public to the RCDSO (n = 174) were used to refine the taxonomy. This sample was further used to assess the feasibility of use in a larger content analysis of complaints. Inter-coder reliability was also assessed using a separate sample of letters (n = 110).ResultsThe resulting taxonomy comprised three domains (Clinical Care and Treatment, Management and Access, and Relationships and Conduct), with seven categories, 23 sub-categories, and over 100 complaint codes. Pilot testing for the feasibility and applicability of the taxonomy’s use for a systematic analysis of complaints proved successful.ConclusionsThe resulting coding taxonomy allows for reliable documentation and interpretation of complaints made to a DRA in Canada and potentially other jurisdictions, such that the nature of and trends in complaints can be identified, monitored and used in quality assurance and improvement.
Understanding the barriers to using oral anticoagulants among long-term aspirin users with atrial fibrillation – a qualitative study
Authors: Ng Vanessa W. S. , Siu Chung-Wah , Chiu Patrick K. C. , Kng Carolyn P. L. , Jamieson Elizabeth , Wong Ian C. K. , Lam May P. S. 
Published: November 2020

AbstractBackgroundDespite international treatment guidelines currently advocating oral anticoagulants (OACs) as the only appropriate stroke prevention therapy for patients with atrial fibrillation (AF) and evidence that OACs can greatly reduce the risk of stroke with similar risk of bleeding compared with aspirin, the underuse of OACs in patients with AF is common globally, especially in Asia. This study aimed to identify the barriers to prescribing and using OACs among long-term aspirin users with AF.MethodFace-to-face interviews were conducted with fourteen eligible patients with AF using a semi-structured interview guide. The interview recordings were transcribed verbatim and data was analyzed according to the principles of thematic analysis.ResultsFive themes were developed: awareness of AF symptoms and diagnosis; knowledge and understanding of AF and stroke prevention therapy; role of decision-making in prescribing; willingness to switch from aspirin to OACs; and impact of OAC regimen on daily living. The majority of the patients were not aware of the symptoms and diagnosis of AF and only had a vague understanding of the illness and stroke prevention therapy, leading to their minimal involvement in decisions relating to their treatment. Some patients and their caregivers were particularly concerned about the bleeding complications from OACs and perceived aspirin to be a suitable alternative as they find the adverse effects from aspirin manageable and so preferred to remain on aspirin if switching to OACs was not compulsory. Lastly, the lifestyle modifications required when using warfarin, e.g. alternative dosing regimen, diet restriction, were seen as barriers to some patients and caregivers.ConclusionThe findings revealed patients’ knowledge gap in AF management which may be targeted using educational interventions to improve patients’ understanding of AF and its management and hence encourage active participation in the decision-making of their treatment in the future.
Frequent avoidable admissions amongst Aboriginal and non-Aboriginal people with chronic conditions in New South Wales, Australia: a historical cohort study
Authors: Jayakody Amanda , Oldmeadow Christopher , Carey Mariko , Bryant Jamie , Evans Tiffany , Ella Stephen , Attia John , Towle Simon , Sanson-Fisher Robert 
Published: November 2020

Abstract
Background
Aboriginal and Torres Strait Islander people have high rates of avoidable hospital admissions for chronic conditions, however little is known about the frequency of avoidable admissions for this population. This study examined trends in avoidable admissions among Aboriginal and non-Aboriginal people with chronic conditions in New South Wales (NSW), Australia.

Methods
A historical cohort analysis using de-identified linked administrative data of Aboriginal patients and an equal number of randomly sampled non-Aboriginal patients between 2005/06 to 2013/14. Eligible patients were admitted to a NSW public hospital and who had one or more of the following ambulatory care sensitive chronic conditions as a principal diagnosis: diabetic complications, asthma, angina, hypertension, congestive heart failure and/or chronic obstructive pulmonary disease. The primary outcomes were the number of avoidable admissions for an individual in each financial year, and whether an individual had three or more admissions compared with one to two avoidable admissions in each financial year. Poisson and logistic regression models and a test for differences in yearly trends were used to assess the frequency of avoidable admissions over time, adjusting for sociodemographic variables and restricted to those aged ≤75 years.

Results
Once eligibility criteria had been applied, there were 27,467 avoidable admissions corresponding to 19,025 patients between 2005/06 to 2013/14 (71.2% Aboriginal; 28.8% non-Aboriginal). Aboriginal patients were 15% more likely than non-Aboriginal patients to have a higher number of avoidable admissions per financial year (IRR = 1.15; 95% CI: 1.11, 1.20). Aboriginal patients were almost twice as likely as non-Aboriginal patients to experience three or more avoidable admissions per financial year (OR = 1.90; 95% CI = 1.60, 2.26). There were no significant differences between Aboriginal and non-Aboriginal people in yearly trends for either the number of avoidable admissions, or whether or not an individual experienced three or more avoidable admissions per financial year (p = 0.859; 0.860 respectively).

Conclusion
Aboriginal people were significantly more likely to experience frequent avoidable admissions over a nine-year period compared to non-Aboriginal people. These high rates reflect the need for further research into which interventions are able to successfully reduce avoidable admissions among Aboriginal people, and the importance of culturally appropriate community health care.
The triglyceride glucose index is a simple and low-cost marker associated with atherosclerotic cardiovascular disease: a population-based study
Authors: Hong Sangmo , Han Kyungdo , Park Cheol-Young 
Published: November 2020

Abstract
Background
The triglyceride glucose (TyG) index is an inexpensive clinical surrogate marker for insulin resistance. However, the relationship between TyG index and atherosclerotic cardiovascular disease (CVD) remains unclear. We evaluated the relationship between TyG index and CVD using a large-scale population dataset from the National Health Information Database (NHID).

Methods
We performed a retrospective observational cohort study of 5,593,134 persons older than 40 years from 2009 to 2017 using the NHID. We divided the participants into TyG index quartiles. Outcome variables were stroke, myocardial infarction, and both. The incidence of outcomes was estimated for each TyG quartile over the total follow-up period. All outcomes were analyzed by Cox proportional hazards regression analysis while controlling for baseline covariates.

Results
During 8.2 years of mean follow-up, stroke was diagnosed in 89,120 (1.59%), MI in 62,577 (1.12%), and both stroke and MI in 146,744 (2.62%) participants. Multivariate-adjusted hazard ratios (HRs) for patients in the highest TyG index quartile demonstrated that these patients were at higher risk for stroke (HR = 1.259; 95% confidence interval [CI] 1.233–1.286), for MI (HR = 1.313; 95% CI 1.28–1.346), and for both (HR = 1.282; 95% CI 1.261–1.303) compared with participants in the lowest TyG index quartile. These effects were independent of age, sex, smoking, alcohol consumption, physical activity, body mass index, systolic blood pressure, and total cholesterol.

Conclusions
In our large population study, TyG index, a simple measure reflecting insulin resistance, was potentially useful in the early identification of individuals at high risk of experiencing a cardiovascular event.
Multimorbidity, polypharmacy, and drug-drug-gene interactions following a non-ST elevation acute coronary syndrome: analysis of a multicentre observational study
Authors: Turner R. M. , de Koning E. M. , Fontana V. , Thompson A. , Pirmohamed M. 
Published: November 2020

Abstract
Background
The number of patients living with co-existing diseases is growing. This study aimed to assess the extent of multimorbidity, medication use, and drug- and gene-based interactions in patients following a non-ST elevation acute coronary syndrome (NSTE-ACS).

Methods
In 1456 patients discharged from hospital for a NSTE-ACS, comorbidities and multimorbidity (≥ 2 chronic conditions) were assessed. Of these, 698 had complete drug use recorded at discharge, and 652 (the ‘interaction’ cohort) had drug use and actionable genotypes available for CYP2B6, CYP2C9, CYP2C19, CYP2D6, CYP3A5, DPYD, F5, SLCO1B1, TPMT, UGT1A1, and VKORC1. The following drug interactions were investigated: pharmacokinetic drug-drug (DDIs) involving CYPs (CYPs above, plus CYP1A2, CYP2C8, CYP3A4), SLCO1B1, and P-glycoprotein; drug-gene (DGIs); drug-drug-gene (DDGIs); and drug-gene-gene (DGGIs). Interactions predicted to be ‘substantial’ were defined as follows: DDIs due to strong inhibitors/inducers, DGIs due to variant homozygous/compound heterozygous genotypes, and DDGIs/DGGIs where the constituent DDI/DGI(s) both influenced the victim drug in the same direction.

Results
In the whole cohort, 727 (49.9%) patients had multimorbidity. Non-linear relationships between age and increasing comorbidities and decreasing coronary intervention were observed. There were 98.1% and 39.8% patients on ≥ 5 and ≥ 10 drugs, respectively (from n = 698); women received more non-cardiovascular drugs than men (median (IQR) 3 (1–5) vs 2 (1–4), p = 0.014). Overall, 98.7% patients had at least one actionable genotype. Within the interaction cohort, 882 interactions were identified in 503 patients (77.1%), of which 346 in 252 patients (38.7%) were substantial: 59.2%, 11.6%, 26.3%, and 2.9% substantial interactions were DDIs, DGIs, DDGIs, and DGGIs, respectively. CYP2C19 (49.5% of all interactions) and SLCO1B1 (18.4%) were involved in the largest number of interactions. Multimorbidity (p = 0.019) and number of drugs (p = 9.8 × 10−10) were both associated with patients having ≥ 1 substantial interaction. Multimorbidity (HR 1.76, 95% CI 1.10–2.82, p = 0.019), number of drugs (HR 1.10, 95% CI 1.04–1.16, p = 1.2 × 10−3), and age (HR 1.05, 95% CI 1.03–1.07, p = 8.9 × 10−7), but not drug interactions, were associated with increased subsequent major adverse cardiovascular events.

Conclusions
Multimorbidity, polypharmacy, and drug interactions are common after a NSTE-ACS. Replication of results is required; however, the high prevalence of DDGIs suggests integrating co-medications with genetic data will improve medicines optimisation.
Evidence for treatment with estradiol for women with SARS-CoV-2 infection
Authors: Seeland Ute , Coluzzi Flaminia , Simmaco Maurizio , Mura Cameron , Bourne Philip E. , Heiland Max , Preissner Robert , Preissner Saskia 
Published: November 2020

Abstract
Background
Given that an individual’s age and gender are strongly predictive of coronavirus disease 2019 (COVID-19) outcomes, do such factors imply anything about preferable therapeutic options?

Methods
An analysis of electronic health records for a large (68,466-case), international COVID-19 cohort, in 5-year age strata, revealed age-dependent sex differences. In particular, we surveyed the effects of systemic hormone administration in women. The primary outcome for estradiol therapy was death. Odds ratios (ORs) and Kaplan-Meier survival curves were analyzed for 37,086 COVID-19 women in two age groups: pre- (15–49 years) and peri-/post-menopausal (> 50 years).

Results
The incidence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection is higher in women than men (by about + 15%) and, in contrast, the fatality rate is higher in men (about + 50%). Interestingly, the relationships between these quantities are linked to age: pre-adolescent girls and boys had the same risk of infection and fatality rate, while adult premenopausal women had a significantly higher risk of infection than men in the same 5-year age stratum (about 16,000 vs. 12,000 cases). This ratio changed again in peri- and postmenopausal women, with infection susceptibility converging with men. While fatality rates increased continuously with age for both sexes, at 50 years, there was a steeper increase for men. Thus far, these types of intricacies have been largely neglected. Because the hormone 17ß-estradiol influences expression of the human angiotensin-converting enzyme 2 (ACE2) protein, which plays a role in SARS-CoV-2 cellular entry, propensity score matching was performed for the women’s sub-cohort, comparing users vs. non-users of estradiol. This retrospective study of hormone therapy in female COVID-19 patients shows that the fatality risk for women > 50 years receiving estradiol therapy (user group) is reduced by more than 50%; the OR was 0.33, 95% CI [0.18, 0.62] and the hazard ratio (HR) was 0.29, 95% CI [0.11,0.76]. For younger, pre-menopausal women (15–49 years), the risk of COVID-19 fatality is the same irrespective of estradiol treatment, probably because of higher endogenous estradiol levels.

Conclusions
As of this writing, still no effective drug treatment is available for COVID-19; since estradiol shows such a strong improvement regarding fatality in COVID-19, we suggest prospective studies on the potentially more broadly protective roles of this naturally occurring hormone.
Factors influencing dietary practices in a transitioning food environment: a cross-sectional exploration of four dietary typologies among rural and urban Ugandan women using Photovoice
Authors: Auma Carolyn I. , Pradeilles Rebecca , Blake Megan K. , Musoke David , Holdsworth Michelle 
Published: November 2020

AbstractBackgroundHealthy and sustainable dietary practices offer a possible solution to competing tensions between health and environmental sustainability, particularly as global food systems transition. To encourage such dietary practices, it is imperative to understand existing dietary practices and factors influencing these dietary practices. The aim of this study was to identify multi-level factors in lived rural and urban Ugandan food environments that influence existing dietary practices among women of reproductive age (WRA).MethodsA mixed methods study was conducted. Multiple correspondence analysis followed by hierarchical cluster analysis were performed on dietary data collected among a sample (n = 73) of Ugandan WRA in Kampala (urban) and Wakiso (rural) districts to elicit dietary clusters. Dietary clusters, which were labelled as dietary typologies based on environmental impact and nutrition transition considerations, were reflective of dietary practices. Following this, a smaller sample of WRA (n = 18) participated in a Photovoice exercise and in-depth interviews to identify factors in their social, physical, socio-cultural and macro-level environments influencing their enactment of the identified dietary typologies, and therefore dietary practices.ResultsFour dietary typologies emerged: ‘urban, low-impact, early-stage transitioners’, ‘urban, medium-impact, mid-stage transitioners’, ‘rural, low-impact, early-stage transitioners’ and ‘rural, low-impact, traditionalists’. Although experienced somewhat differently, the physical environment (access, availability and cost), social networks (parents, other family members and friends) and socio-cultural environment (dietary norms) were cross-cutting influences among both urban and rural dietary typologies. Seasonality (macro-environment) directly influenced consumption of healthier and lower environmental impact, plant-based foods among the two rural dietary typology participants, while seasonality and transportation intersected to influence consumption of healthier and lower environmental impact, plant-based foods among participants in the two urban dietary typologies.ConclusionParticipants displayed a range of dietary typologies, and therefore dietary practices. Family provides an avenue through which interventions aimed at encouraging healthier and lower environmental impact dietary practices can be targeted. Home gardens, urban farming and improved transportation could address challenges in availability and access to healthier, lower environmental impact plant-based foods among urban WRA.
Machine-learning classification of texture features of portable chest X-ray accurately classifies COVID-19 lung infection
Authors: Hussain Lal , Nguyen Tony , Li Haifang , Abbasi Adeel A. , Lone Kashif J. , Zhao Zirun , Zaib Mahnoor , Chen Anne , Duong Tim Q. 
Published: November 2020

AbstractBackgroundThe large volume and suboptimal image quality of portable chest X-rays (CXRs) as a result of the COVID-19 pandemic could post significant challenges for radiologists and frontline physicians. Deep-learning artificial intelligent (AI) methods have the potential to help improve diagnostic efficiency and accuracy for reading portable CXRs.PurposeThe study aimed at developing an AI imaging analysis tool to classify COVID-19 lung infection based on portable CXRs.Materials and methodsPublic datasets of COVID-19 (N = 130), bacterial pneumonia (N = 145), non-COVID-19 viral pneumonia (N = 145), and normal (N = 138) CXRs were analyzed. Texture and morphological features were extracted. Five supervised machine-learning AI algorithms were used to classify COVID-19 from other conditions. Two-class and multi-class classification were performed. Statistical analysis was done using unpaired two-tailedttests with unequal variance between groups. Performance of classification models used the receiver-operating characteristic (ROC) curve analysis.ResultsFor the two-class classification, the accuracy, sensitivity and specificity were, respectively, 100%, 100%, and 100% for COVID-19 vs normal; 96.34%, 95.35% and 97.44% for COVID-19 vs bacterial pneumonia; and 97.56%, 97.44% and 97.67% for COVID-19 vs non-COVID-19 viral pneumonia. For the multi-class classification, the combined accuracy and AUC were 79.52% and 0.87, respectively.ConclusionAI classification of texture and morphological features of portable CXRs accurately distinguishes COVID-19 lung infection in patients in multi-class datasets. Deep-learning methods have the potential to improve diagnostic efficiency and accuracy for portable CXRs.