bluuebunny/crossref_metadata_2025_split huggingface dataset:
Student-led interprofessional global health course: learning impacts during a global crisis
Authors: Nguyen Anne Xuan-Lan , Xiang Lucille , Chhibber Radhika , Blanchard Hailey , Tikhonova Svetlana , Zafran Hiba , Miller Catherine-Anne , Bergevin Yves 
Published: March 2023

Abstract
Background
This study assesses the impact of the Interprofessional Global Health Course (IPGHC) on students’ fundamental global health knowledge and personal viewpoints on global health domains. It explores the evolution of students’ understanding of global health specifically in relation to the COVID-19 pandemic.

Methods
Ninety-nine students were selected from 123 McGill student applicants based on their motivation and commitment to take part in IPGHC’s ten-week 2020 curriculum. These IPGHC students were eligible to participate in the study. The study’s design is sequential explanatory mixed methods. The cross-sectional survey (quantitative phase) appraises students’ global health learning outcomes using pre- and post-course surveys, with the use of 5-point Likert-scale questions. The descriptive qualitative survey (qualitative phase) further explores the impact of IPGHC on student’s understanding of global health and the reflections of students on the COVID-19 pandemic after IPGHC. The post-course survey included a course evaluation for quality improvement purposes.

Results
Of the 99 students, 81 students across multiple undergraduate and graduate disciplines participated in the study by completing the course surveys. Mean knowledge scores of the following 11 global health topics were increased between pre- and post-course survey: Canadian Indigenous health (P < 0.001), global burden of disease (P < 0.001), global surgery (P < 0.001), infectious diseases and neglected tropical diseases (P < 0.001), refugee and immigrant health (P < 0.001), research and development of drugs (P < 0.001), role of politics and policies in global health (P = 0.02), role of technology in global health (P < 0.001), sexual violence (P < 0.001), systemic racism in healthcare (P = 0.03), and trauma in the global health context (P < 0.001). A positive change in student viewpoints was observed in response to questions regarding their perception of the importance of global health education in their own professional health care programs (P < 0.001), and their understanding of the roles and responsibilities of other healthcare professionals (P < 0.001). In the post-course survey open-ended questions, students exemplified their knowledge gained during the course to create a more informed definition of global health. Several recurring themes were identified in the student reflections on the COVID-19 pandemic, notably policy and politics, followed by access to healthcare and resources.

Conclusion
This study emphasizes the need for interprofessional global health education at the university level and demonstrates how rapidly global health learners can apply their knowledge to evolving contexts like the COVID-19 pandemic.
International Health Electives: defining learning outcomes for a unique experience
Authors: Versluis M. A. C. , Jöbsis N. C. , Jaarsma A. D. C. , Tuinsma R. , Duvivier R. 
Published: March 2023

AbstractBackgroundAn International Health Elective (IHE) can be a unique learning experience for students. However, it has proven difficult to clearly define learning outcomes that capture the complexity of an IHE and are aligned with future professional performance. This study aimed to further define learning outcomes for IHEs in low- to middle-income countries (LMIC) from a student perspective.MethodsWe conducted a deductive analysis of pre-departure and post-elective reflective reports of fifth-year medical students who participated in an IHE as part of their program. This provided possible learning objectives that were further explored in semi-structured individual interviews with medical students who had recently returned from an IHE.ResultsWe analyzed 33 reports of students participating in an IHE from 2017–2019 and held 19 interviews. Thematic analysis revealed 9 themes: developing intercultural competence, developing appreciation for differences in health care delivery systems, understanding international health, understanding the global burden of disease, developing a career perspective, developing clinical skills in resource low settings, becoming cost conscious, developing social responsibility and self-actualization.ConclusionsWe identified 9 learning outcomes that are directly and indirectly related to clinical practice. They add to the on-going discourse on the benefits of IHEs. These outcomes can be further developed by investigating the perspectives of home and host supervisors and educationalists, while taking the local context into account. Follow-up studies can evaluate to what extend these outcomes are achieve during an IHE.
Usability and perceptions of a one-on-one telementoring program for young physicians in rural settings of Peru: a mixed method study
Authors: Rojas-Mezarina Leonardo , Escobar-Agreda Stefan , Chahuara-Rojas Max , Silva-Valencia Javier , Espinoza-Herrera Daniel Hector , Reátegui-Rivera C. Mahony , Moscoso-Porras Miguel , Quispe-Gamarra Juan , Ronceros Gerardo 
Published: March 2023

AbstractBackgroundTelementoring seems to be a promising strategy to deliver training and counselling to physicians in remote areas. In Peru, early graduated physicians must work for the Rural and Urban-Edge Health Service Program where they face important training needs. The aim of this study was to describe the usage of a one-on-one telementoring program for rural physicians and evaluate the aspects related to the perceptions of acceptability and usability.MethodsMixed methods study on recently graduated physicians who work in rural areas and participate in the telementoring program. The program used a mobile application to connect these young doctors with specialized mentors to answer queries about real-life problems raised by working in a rural area. We summarize administrative data to assess participant characteristics and their participation in the program. Additionally, we conducted in-depth interviews to explore the perceived usability, ease of use, and reason for non-use of the telementoring program.ResultsOf 74 physicians (mean age 25, 51.4% women) enrolled, 12 (16.2%) actively used the program and performed a total of 27 queries, which received response in an average time of 5.4 ± 6.3 h. In the interviews, the main reasons for non-use were connectivity issues, feelings of shame, and self-efficacy. For those who used the telementoring program they referred it was easy to use and solve their inquiries timely.ConclusionsThe implementation of a telementoring program sought to provide guidance to recently graduated physicians working in rural areas. Low use rates show that administrative and process-related deficiencies in the program implementation need to be improved.
Personal health monitoring in the armed forces – scouting the ethical dimension
Authors: Bovens Dave , van Baarle Eva , Molewijk Bert 
Published: March 2023

Abstract
Background
The field of personal health monitoring (PHM) develops rapidly in different contexts, including the armed forces. Understanding the ethical dimension of this type of monitoring is key to a morally responsible development, implementation and usage of PHM within the armed forces. Research on the ethics of PHM has primarily been carried out in civilian settings, while the ethical dimension of PHM in the armed forces remains understudied. Yet, PHM of military personnel by design takes place in a different setting than PHM of civilians, because of their tasks and the context in which they operate. This case study therefore focusses on obtaining insights into the experiences and related values of different stakeholders regarding an existing form of PHM, the Covid-19 Radar app, in the Netherlands Armed Forces.

Methods
We carried out an exploratory qualitative study, using semi-structured interviews with twelve stakeholders in the Netherlands Armed Forces. We focussed on participation in the use of PHM, reflections on the practical use and use of data, moral dilemmas and the need for ethics support, all in regard to PHM. The data was analysed using an inductive thematic approach.

Results
Three interlinking categories reflecting ethical dimensions of PHM emerged: (1) values, (2) moral dilemmas, and (3) external norms. The main values identified were: security (in relation to data), trust and hierarchy. Multiple related values were found. Some, but no broadly shared, moral dilemmas were identified and no strong need for ethics support was expressed.

Conclusion
This study shed light on key values, provide insights in the experienced and presumed moral dilemmas and bring to mind ethics support considerations when looking at PHM in the armed forces. Some values bring a certain vulnerability to military users when personal and organisational interests are not aligned. Furthermore, some identified values may hinder a careful consideration of PHM because they potentially conceal parts of ethical dimensions of PHM. Ethics support can assist in uncovering and addressing these concealed parts. The findings highlight a moral responsibility for the armed forces to devote attention to the ethical dimensions of PHM.
ICD-11: A catalyst for advancing patient safety surveillance globally
Authors: Forster Alan J. , Chute Christopher G. , Pincus Harold Alan , Ghali William A. 
Published: March 2023

AbstractThe World Health Organization’s (WHO) international classification of disease version 11 (ICD-11) contains several features which enable improved classification of patient safety events. We have identified three suggestions to facilitate adoption of ICD-11 from the patient safety perspective. One, health system leaders at national, regional, and local levels should incorporate ICD-11 into all approaches to monitor patient safety. This will allow them to take advantage of the innovative patient safety classification methods embedded in ICD-11 to overcome several limitations related to existing patient safety surveillance methods. Two, application developers should incorporate ICD-11 into software solutions. This will accelerate adoption and utility of software-enabled clinical and administrative workflows relevant to patient safety management. This is enabled as a result of the ICD-11 application programming interface (or API) developed by the WHO. Third, health system leaders should adopt the ICD-11 using a continuous improvement framework. This will help leaders at national, regional and local levels to take advantage of specific existing initiatives which will be strengthened by ICD-11, including peer review comparisons, clinician engagement, and alignment of front-line safety efforts with post marketing surveillance of medical technologies. While the investment to adopt ICD-11 will be considerable, these will be offset by reducing the ongoing costs related to a lack of accurate routine information.
Predictive algorithm for the regional spread of coronavirus infection across the Russian Federation
Authors: Reshetnikov Andrey , Berdutin Vitalii , Zaporozhtsev Alexander , Romanov Sergey , Abaeva Olga , Prisyazhnaya Nadezhda , Vyatkina Nadezhda 
Published: March 2023

Abstract
Background
Outbreaks of infectious diseases are a complex phenomenon with many interacting factors. Regional health authorities need prognostic modeling of the epidemic process.

Methods
For these purposes, various mathematical algorithms can be used, which are a useful tool for studying the infections spread dynamics. Epidemiological models act as evaluation and prognosis models. The authors outlined the experience of developing a short-term predictive algorithm for the spread of the COVID-19 in the region of the Russian Federation based on the SIR model: Susceptible (vulnerable), Infected (infected), Recovered (recovered). The article describes in detail the methodology of a short-term predictive algorithm, including an assessment of the possibility of building a predictive model and the mathematical aspects of creating such forecast algorithms.

Results
Findings show that the predicted results (the mean square of the relative error of the number of infected and those who had recovered) were in agreement with the real-life situation: σ(I) = 0.0129 and σ(R) = 0.0058, respectively.

Conclusions
The present study shows that despite a large number of sophisticated modifications, each of which finds its scope, it is advisable to use a simple SIR model to quickly predict the spread of coronavirus infection. Its lower accuracy is fully compensated by the adaptive calibration of parameters based on monitoring the current situation with updating indicators in real-time.
A study on predicting the length of hospital stay for Chinese patients with ischemic stroke based on the XGBoost algorithm
Authors: Chen Rui , Zhang Shengfa , Li Jie , Guo Dongwei , Zhang Weijun , Wang Xiaoying , Tian Donghua , Qu Zhiyong , Wang Xiaohua 
Published: March 2023

Abstract
Background
The incidence of stroke is a challenge in China, as stroke imposes a heavy burden on families, national health services, social services, and the economy. The length of hospital stay (LOS) is an essential indicator of utilization of medical services and is usually used to assess the efficiency of hospital management and patient quality of care. This study established a prediction model based on a machine learning algorithm to predict ischemic stroke patients’ LOS.

Methods
A total of 18,195 ischemic stroke patients’ electronic medical records and 28 attributes were extracted from electronic medical records in a large comprehensive hospital in China. The prediction of LOS was regarded as a multi classification problem, and LOS was divided into three categories: 1–7 days, 8–14 days and more than 14 days. After preprocessing the data and feature selection, the XGBoost algorithm was used to build a machine learning model. Ten fold cross-validation was used for model validation. The accuracy (ACC), recall rate (RE) and F1 measure were used to evaluate the performance of the prediction model of LOS of ischemic stroke patients. Finally, the XGBoost algorithm was used to identify and remove irrelevant features by ranking all attributes based on feature importance.

Results
Compared with the naive Bayesian algorithm, logistic region algorithm, decision tree classifier algorithm and ADaBoost classifier algorithm, the XGBoot algorithm has higher ACC, RE and F1 measure. The average ACC, RE and F1 measure were 0.89, 0.89 and 0.89 under the 10-fold cross-validation. According to the analysis of the importance of features, the LOS of ischemic stroke patients was affected by demographic characteristics, past medical history, admission examination features, and operation characteristics. Finally, the features in terms of hemiplegia aphasia, MRS, NIHSS, TIA, Operation or not, coma index etc. were found to be the top features in importance in predicting the LOS of ischemic stroke patients.

Conclusions
The XGBoost algorithm was an appropriate machine learning method for predicting the LOS of patients with ischemic stroke. Based on the prediction model, an intelligent medical management prediction system could be developed to predict the LOS based on ischemic stroke patients’ electronic medical records.
Cancer patients’ return-to-work adaptation experience and coping resources: a grounded theory study
Authors: Xu Jiashuo , Zhou Yuwen , Li Jiamei , Tang Jue , Hu Xiaoyun , Chen Yifan , Guo Yujie 
Published: March 2023

Abstract
Objective
To explore the return-to-work adaptation experience and coping resources used by cancer patients.

Methods
With the help of the Nantong Cancer Friends Association, from June 2019 to January 2020, this study recruited 30 cancer patients who had returned to work using purpose sampling, snowball sampling and theoretical sampling. The researchers analyzed the data using initial-, focusing-, and theoretical coding.

Results
The adaptation of cancer patients to return-to-work is a rebuilding process by taking advantage of the available personal and external coping resources. The adaptation experience includes: focusing on rehabilitation, rebuilding self-efficacy, and adjusting plans.

Conclusion
Medical staff should help patients mobilize coping resources to adapt to return to work.
The impact of learning styles on attitudes to interprofessional learning among nursing students: a longitudinal mixed methods study
Authors: Lundell Rudberg Susanne , Lachmann Hanna , Sormunen Taina , Scheja Max , Westerbotn Margareta 
Published: March 2023

Abstract
Background
A functional interprofessional teamwork improves collaborative patient-centred care. Participation in interprofessional education promotes cooperation after graduation. Individuals tend to use different approaches to learning depending on their individual preferences. The purpose of this study was to explore nursing students’ experiences of professional development with a focus on the relationship between attitudes to interprofessional learning and learning styles.

Methods
A longitudinal parallel mixed-methods design. The study was carried out at a Swedish three-year nursing program from August 2015 to January 2020. On enrolment, thirty-four students self-assessed their attitudes to interprofessional learning according to the Readiness for Interprofessional Learning Scale, and their learning style according to Kolbs’ Learning Style Inventory. In the final semester the students participated in an interview focusing on their experiences and perceptions of teamwork and they self-assessed their attitudes to interprofessional learning again.

Results
Our findings indicated that 64.7% had a predominantly concrete learning style and 35.3% had a predominantly reflective learning style. No significant relationship with internal consistency reliability was identified among the participants between attitudes to interprofessional learning and learning styles. The content analysis resulted in four main categories: Amazing when it’s functional; Deepened insight of care; Increased quality of care; Understanding own profession which were summarized in the theme: Well-functioning teams improve patients’ outcome and working environment.

Conclusion
The students’ attitudes to interprofessional learning were positive and it was considered as an opportunity to participate in interprofessional cooperation during internship. Transformative learning is a useful strategy in fostering interprofessional relationships due to the interdependence of various professions in interprofessional teams. When students are guided to use reflection to develop new perspectives and meaning structures, they acquire emotional and rational skills beneficial for interprofessional cooperation.
An environmental scan of Ontario Health Teams: a descriptive study
Authors: Sethuram Claire , McCutcheon Tess , Liddy Clare 
Published: March 2023

Abstract
Background
Ontario Health Teams (OHTs) are an integrated care system introduced in Ontario, Canada in 2019 after the 14 Local Health Integrated Networks (LHINs) were dissolved. The objective of this study is to give an overview of the current state of the OHT model’s implementation, and what priority populations and transitions of care models were identified by OHTs.

Methods
This scan involved a structured search for each approved OHT of publicly available resources with three main sources: the full application submitted by the OHT, the OHT website, and a Google search with the name of the OHT.

Results
As of July 23, 2021, there were 42 approved OHTs and nine transitions of care programs were identified across nine OHTs. Of the approved OHTs, 38 had identified ten distinct priority populations, and 34 reported partnerships with organizations.

Conclusions
While the approved OHTs currently cover 86% of Ontario’s population, not all OHTs are at the same stage of activity. Several areas for improvement were identified, including public engagement, reporting, and accountability. Moreover, OHTs’ progress and outcomes should be measured in a standardized manner. These findings may be of interest to healthcare policy or decision-makers looking to implement similar integrated care systems and improve healthcare delivery in their jurisdictions.
The association between receipt of home care rehabilitation services and acute care hospital utilization in clients with multimorbidity following an acute care unit discharge: a retrospective cohort study
Authors: Mofina Amanda , Miller Jordan , Tranmer Joan , Li Wenbin , Donnelly Catherine 
Published: March 2023

Abstract
Background
Individuals experiencing multimorbidity have more complex healthcare needs, use more healthcare services, and access multiple service providers across the healthcare continuum. They also experience higher rates of functional decline. Rehabilitation therapists are well positioned to address these functional needs; however, little is known about the influence of rehabilitation therapy on patient outcomes, and subsequent unplanned healthcare utilization for people with multimorbidity. The aims of this study were to: 1) describe and compare the characteristics of people with multimorbidity receiving: home care rehabilitation therapy alone, other home care services without rehabilitation therapy, and the combination of home care rehabilitation therapy and other home care services, and 2) determine the association between home care rehabilitation therapy and subsequent healthcare utilization among those recently discharged from an acute care unit.

Methods
This retrospective cohort study used linked health administrative data housed within ICES, Ontario, Canada. The cohort included long-stay home care clients experiencing multimorbidity who were discharged from acute care settings between 2007–2015 (N = 43,145). Descriptive statistics, ANOVA’s, t-tests, and chi-square analyses were used to describe and compare cohort characteristics. Multivariable logistic regression was used to understand the association between receipt of rehabilitation therapy and healthcare utilization.

Results
Of those with multimorbidity receiving long-stay home care services, 45.5% had five or more chronic conditions and 46.3% required some assistance with ADLs. Compared to people receiving other home care services, those receiving home care rehabilitation therapy only were less likely to be readmitted to the hospital (OR = 0.78; 95% CI: 0.73–0.83) and use emergency department services (OR = 0.73; 95% CI: 0.69–0.78) within the first 3-months following hospital discharge.

Conclusions
Receipt of rehabilitation therapy was associated with less unplanned healthcare service use when transitioning from hospital to home among persons with multimorbidity. These findings suggest rehabilitation therapy may help to reduce the healthcare burden for individuals and health systems. Future research should evaluate the potential cost savings and health outcomes associated with providing rehabilitation therapy services for people with multimorbidity.