Examining cost measurements in production and delivery of three case studies using eLearning for Applied Health Sciences: a cross-case synthesis

The World Health Organization World Health Report conveys that a significant increase is needed in global healthcare resourcing to meet current and future demand for health professionals. eLearning presents a possible opportunity to change and optimize training by providing a scalable means for instruction, thus reducing the costs for training health professionals and providing patient education. Research literature often suggests that a benefit of eLearning is its cost-effectiveness compared with face-to-face instruction, yet there is limited evidence comparing design and production costs with other forms of instruction, or the establishment of standards for budgeting for these costs

Artificial Intelligence Applications for Assessment, Monitoring, and Management of Parkinson Disease Symptoms: Protocol for a Systematic Review

\ua9 2023 The authors.Background: Parkinson disease (PD) is the second most prevalent neurodegenerative disease, with around 10 million people with PD worldwide. Current assessments of PD symptoms are conducted by questionnaires and clinician assessments and have many limitations, including unreliable reporting of symptoms, little autonomy for patients over their disease management, and standard clinical review intervals regardless of disease status or clinical need. To address these limitations, digital technologies including wearable sensors, smartphone apps, and artificial intelligence (AI) methods have been implemented for this population. Many reviews have explored the use of AI in the diagnosis of PD and management of specific symptoms; however, there is limited research on the application of AI to the monitoring and management of the range of PD symptoms. A comprehensive review of the application of AI methods is necessary to address the gap of high-quality reviews and highlight the developments of the use of AI within PD care. Objective: The purpose of this protocol is to guide a systematic review to identify and summarize the current applications of AI applied to the assessment, monitoring, and management of PD symptoms. Methods: This review protocol was structured using the PRISMA-P (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocols) and the Population, Intervention, Comparator, Outcome, and Study (PICOS) frameworks. The following 5 databases will be systematically searched: PubMed, IEEE Xplore, Institute for Scientific Information’s Web of Science, Scopus, and the Cochrane Library. Title and abstract screening, full-text review, and data extraction will be conducted by 2 independent reviewers. Data will be extracted into a predetermined form, and any disagreements in screening or extraction will be discussed. Risk of bias will be assessed using the Cochrane Collaboration Risk of Bias 2 tool for randomized trials and the Mixed Methods Appraisal Tool for nonrandomized trials. Results: As of April 2023, this systematic review has not yet been started. It is expected to begin in May 2023, with the aim to complete by September 2023. Conclusions: The systematic review subsequently conducted as a product of this protocol will provide an overview of the AI methods being used for the assessment, monitoring, and management of PD symptoms. This will identify areas for further research in which AI methods can be applied to the assessment or management of PD symptoms and could support the future implementation of AI-based tools for the effective management of PD

The role of health kiosks: a scoping review

Background: Health kiosks are publicly accessible computing devices that provide access to services including health information provision, clinical measurement collection, patient self-check-in, telemonitoring and teleconsultation. While the increase in internet access and ownership of smart personal devices could make kiosks redundant, recent reports have predicted that the market will continue to grow. Objectives: We sought to clarify the current and future roles of health kiosks by investigating: (a) the setting, role, and clinical domains in which kiosks are used; (b) whether usability evaluations of health kiosks are being reported and if so, what methods are being utilized; and (c) what the barriers and facilitators are for the deployment of kiosks. Methods: We conducted a scoping review by a bibliographic search of the Google Scholar, PubMed and Web of Science databases for studies and other publications between January 2009 and June 2020. Eligible papers describe the implementation, either as primary studies, systematic reviews, or news and feature articles. Additional reports were obtained by manual searching and through querying key informants. For each article we abstracted settings, purposes, health domains, whether the kiosk was opportunistic or integrated with a clinical pathway, and inclusion of usability testing. We then summarized the data in frequency tables. Results: A total of 141 articles were included, 134 primary studies and seven reviews. 47% of the primary studies described kiosks in secondary care settings, other settings included community (23.9%), primary care (17.9%), and pharmacies (6.0%). The most common roles of health kiosks were providing health information (35.1%), taking clinical measurements (20.9%), screening (12.7%), telehealth (8.2%), and patient registration (6.0%). The five most frequent health domains were multiple conditions (24.6%), Human Immunodeficiency Virus (HIV) (7.5%), hypertension (7.5%), pediatric injuries (5.2%), health and wellbeing (4.5%) and drug monitoring (4.5%). Kiosks were integrated in the clinical pathway in 70.1%, opportunistic kiosks accounted for 23.9% and 6.0% were being used in both. Usability evaluations of the kiosk were reported in 20.1% of the papers. Barriers (use of expensive proprietary software) and enablers (handling on-demand consultations) to deploying health kiosks were identified. Conclusions: Health kiosks still play a vital role in the healthcare system, including collecting clinical measurements and providing access to online health services and information to those with little or no digital literacy skills, and others without personal internet access. We identified research gaps, such as training needs for teleconsultations, and scant reporting on usability evaluation methods

Tools for the diagnosis of Herpes simplex virus 1/2: A systematic review of studies published between 2012-2018

Herpes simplex viruses (HSV) 1 and 2 are common infections affecting the global population. HSV 1 is the most common type estimated to affect 67% of the global population. HSV can have rare, but severe manifestations such as encephalitis and neonatal herpes necessitating the use of reliable and accurate diagnostic tools for the detection of the viruses. Currently used HSV diagnostic tools require highly specialized skills, availability of a laboratory setting and may lack sensitivity. More recent HSV diagnostic tools are numerous and need to be identified and compared in a systematic way to be able to make the best decision about which diagnostic tool to use. Diagnosis of HSV is essential for prompt treatment with antivirals. To select the best test for a patient, knowledge of the performance and limitations of each test are critical. This systematic review summarizes recent study articles evaluating HSV-1 and HSV-2 diagnostic tools

Ferrimagnetism and disorder in epitaxial Mn(2-x)Co(x)VAl thin films

The quaternary full Heusler compound Mn(2-x)Co(x)VAl with x = 1 is predicted to be a half-metallic antiferromagnet. Thin films of the quaternary compounds with x = 0...2 were prepared by DC and RF magnetron co-sputtering on heated MgO (001) substrates. The magnetic structure was examined by x-ray magnetic circular dichroism and the chemical disorder was characterized by x-ray diffraction. Ferrimagnetic coupling of V to Mn was observed for Mn2VAl (x = 0). For x = 0.5, we also found ferrimagnetic order with V and Co antiparallel to Mn. The observed reduced magnetic moments are interpreted with the help of band structure calculations in the coherent potential approximation. Mn2VAl is very sensitive to disorder involving Mn, because nearest-neighbor Mn atoms couple anti-ferromagnetically. Co2VAl has B2 order and has reduced magnetization. In the cases with x >= 0.9 conventional ferromagnetism was observed, closely related to the atomic disorder in these compounds.Comment: 10 pages, 4 figure

Incorporating usability evaluation into iterative development of an online platform to support research participation in Parkinson\u27s disease: A mixed methods protocol

\ua9 Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. Introduction Many people with Parkinson\u27s (PwP) are not given the opportunity or do not have adequate access to participate in clinical research. To address this, we have codeveloped with users an online platform that connects PwP to clinical studies in their local area. It enables site staff to communicate with potential participants and aims to increase the participation of the Parkinson\u27s community in research. This protocol outlines the mixed methods study protocol for the usability testing of the platform. Methods and analysis We will seek user input to finalise the platform\u27s design, which will then be deployed in a limited launch for beta testing. The beta version will be used as a recruitment tool for up to three studies with multiple UK sites. Usability data will be collected from the three intended user groups: PwP, care partners acting on their behalf and site study coordinators. Usability questionnaires and website analytics will be used to capture user experience quantitatively, and a purposive sample of users will be invited to provide further feedback via semistructured interviews. Quantitative data will be analysed using descriptive statistics, and a thematic analysis undertaken for interview data. Data from this study will inform future platform iterations. Ethics and dissemination Ethical approval was obtained from the University of Plymouth (3291; 3 May 2022). We will share our findings via a \u27Latest News\u27 section within the platform, presentations, conference meetings and national PwP networks

Massive Open Online Courses (MOOC) evaluation methods: protocol for a systematic review

BACKGROUND: Massive open online courses (MOOCs) have increased in popularity in recent years. They target a wide variety of learners and use novel teaching approaches, yet often exhibit low completion rates (10%). It is important to evaluate MOOCs to determine their impact and effectiveness, but little is known at this point about the methodologies that should be used for evaluation. OBJECTIVE: The purpose of this paper is to provide a protocol for a systematic review on MOOC evaluation methods. METHODS: We will use the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocols (PRISMA-P) guidelines for reporting this protocol. We developed a population, intervention, comparator, and outcome (PICO) framework to guide the search strategy, based on the overarching question, "What methods have been used to evaluate MOOCs?" The review will follow six stages: 1) literature search, 2) article selection, 3) data extraction, 4) quality appraisal, 5) data analysis, and 6) data synthesis. RESULTS: The systematic review is ongoing. We completed the data searches and data abstraction in October and November 2018. We are now analyzing the data and expect to complete the systematic review by March 2019. CONCLUSIONS: This systematic review will provide a useful summary of the methods used for evaluation of MOOCs and the strengths and limitations of each approach. It will also identify gaps in the literature and areas for future work. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/12087