Adoption by clinicians of electronic order communications in NHS secondary care: a descriptive account.

BACKGROUND: Due to the rapid advancement in information technology, changes to communication modalities are increasingly implemented in healthcare. One such modality is Computerised Provider Order Entry (CPOE) systems which replace paper, verbal or telephone orders with electronic booking of requests. We aimed to understand the uptake, and user acceptability, of CPOE in a large National Health Service hospital system. METHODS: This retrospective single-centre study investigates the longitudinal uptake of communications through the Prescribing, Information and Communication System (PICS). The development and configuration of PICS are led by the doctors, nurses and allied health professionals that use it and requests for CPOE driven by clinical need have been described.Records of every request (imaging, specialty review, procedure, laboratory) made through PICS were collected between October 2008 and July 2019 and resulting counts were presented. An estimate of the proportion of completed requests made through the system has been provided for three example requests. User surveys were completed. RESULTS: In the first 6 months of implementation, a total of 832 new request types (imaging types and specialty referrals) were added to the system. Subsequently, an average of 6.6 new request types were added monthly. In total, 8 035 132 orders were requested through PICS. In three example request types (imaging, endoscopy and full blood count), increases in the proportion of requests being made via PICS were seen. User feedback at 6 months reported improved communications using the electronic system. CONCLUSION: CPOE was popular, rapidly adopted and diversified across specialties encompassing wide-ranging requests.

Assessing the Quality of ChatGPT Responses to Dementia Caregivers' Questions: Qualitative Analysis.

Background: Artificial intelligence (AI) such as ChatGPT by OpenAI holds great promise to improve the quality of life of patients with dementia and their caregivers by providing high-quality responses to their questions about typical dementia behaviors. So far, however, evidence on the quality of such ChatGPT responses is limited. A few recent publications have investigated the quality of ChatGPT responses in other health conditions. Our study is the first to assess ChatGPT using real-world questions asked by dementia caregivers themselves. objectives: This pilot study examines the potential of ChatGPT-3.5 to provide high-quality information that may enhance dementia care and patient-caregiver education. Methods: Our interprofessional team used a formal rating scale (scoring range: 0-5; the higher the score, the better the quality) to evaluate ChatGPT responses to real-world questions posed by dementia caregivers. We selected 60 posts by dementia caregivers from Reddit, a popular social media platform. These posts were verified by 3 interdisciplinary dementia clinicians as representing dementia caregivers' desire for information in the areas of memory loss and confusion, aggression, and driving. Word count for posts in the memory loss and confusion category ranged from 71 to 531 (mean 218; median 188), aggression posts ranged from 58 to 602 words (mean 254; median 200), and driving posts ranged from 93 to 550 words (mean 272; median 276). Results: ChatGPT's response quality scores ranged from 3 to 5. Of the 60 responses, 26 (43%) received 5 points, 21 (35%) received 4 points, and 13 (22%) received 3 points, suggesting high quality. ChatGPT obtained consistently high scores in synthesizing information to provide follow-up recommendations (n=58, 96%), with the lowest scores in the area of comprehensiveness (n=38, 63%). Conclusions: ChatGPT provided high-quality responses to complex questions posted by dementia caregivers, but it did have limitations. ChatGPT was unable to anticipate future problems that a human professional might recognize and address in a clinical encounter. At other times, ChatGPT recommended a strategy that the caregiver had already explicitly tried. This pilot study indicates the potential of AI to provide high-quality information to enhance dementia care and patient-caregiver education in tandem with information provided by licensed health care professionals. Evaluating the quality of responses is necessary to ensure that caregivers can make informed decisions. ChatGPT has the potential to transform health care practice by shaping how caregivers receive health information.

Leveraging ANFIS with Adam and PSO optimizers for Parkinson's disease.

Parkinson's disease (PD) is an age-related neurodegenerative disorder characterized by motor deficits, including tremor, rigidity, bradykinesia, and postural instability. According to the World Health Organization, about 1 % of the global population has been diagnosed with PD, and this figure is expected to double by 2040. Early and accurate diagnosis of PD is critical to slowing down the progression of the disease and reducing long-term disability. Due to the complexity of the disease, it is difficult to accurately diagnose it using traditional clinical tests. Therefore, it has become necessary to develop intelligent diagnostic models that can accurately detect PD. This article introduces a novel hybrid approach for accurate prediction of PD using an ANFIS with two optimizers, namely Adam and PSO. ANFIS is a type of fuzzy logic system used for nonlinear function approximation and classification, while Adam optimizer has the ability to adaptively adjust the learning rate of each individual parameter in an ANFIS at each training step, which helps the model find a better solution more quickly. PSO is a metaheuristic approach inspired by the behavior of social animals such as birds. Combining these two methods has potential to provide improved accuracy and robustness in PD diagnosis compared to existing methods. The proposed method utilized the advantages of both optimization techniques and applied them on the developed ANFIS model to maximize its prediction accuracy. This system was developed by using an open access clinical and demographic data. The chosen parameters for the ANFIS were selected through a comparative experimental analysis to optimize the model considering the number of fuzzy membership functions, number of epochs of ANFIS, and number of particles of PSO. The performance of the two ANFIS models: ANFIS (Adam) and ANFIS (PSO) focusing at ANFIS parameters and various evaluation metrics are further analyzed in detail and presented, The experimental results showed that the proposed ANFIS (PSO) shows better results in terms of loss and precision, whereas, the ANFIS (Adam) showed the better results in terms of accuracy, f1-score and recall. Thus, this adaptive neural-fuzzy algorithm provides a promising strategy for the diagnosis of PD, and show that the proposed models show their suitability for many other practical applications.

Associations between information and communication technology use and frailty in community-dwelling old-old adults: results from the ILSA-J.

OBJECTIVES: Frailty is a significant cause of adverse health events including long-term care and hospitalization. Although information and communication technology (ICT) has become an integral part of modern life, it remains unclear whether ICT use is associated with frailty. DESIGN: A cross-sectional study (Integrated Longitudinal Studies on Aging in Japan, ILSA-J). SETTING AND PARTICIPANTS: Aged 75 and older data from the ILSA-J in 2017 (n = 2893). METHODS: ICT use was measured using the technology usage sub-items of the Japan Science and Technology Agency Index of Competence. Specifically, the use of mobile phones, ATMs, DVD players, and sending e-mails were rated as "yes" (able to do) or "no" (unable to do), with the first quintile (≤1 point) defined as ICT non-users. Frailty was assessed using the Japanese version of the Cardiovascular Health Study criteria based on the phenotype model (e.g., weight loss, slowness, weakness, exhaustion, and low activity). Further, multivariate logistic regression analysis analyzed its association with ICT use. Subgroup analyses were stratified according to gender, years of education, and living arrangements. RESULTS: Higher ICT use was not associated with frailty after adjusting for covariates (odds ratio [OR]: 0.53; 95%CI 0.39-0.73). Similar associations were found in the sub-groups of women (OR 0.45, 95%CI 0.30-0.66), <13 years of education (OR 0.48, 95%CI 0.34-0.67), living alone (OR 0.46, 95%CI 0.27-0.79), and living together (OR 0.57, 95%CI 0.38-0.85). No association existed between using ICT and frailty in the sub-groups of men and ≥13 years of education. CONCLUSIONS AND IMPLICATIONS: Higher ICT use is associated with the absence of frailty in individuals 75 years and older. Such benefits may be particularly pronounced in women, those with lower levels of education, and older adults living alone or with others.

Professional self-determination of future dentists in the modern realities of Ukraine.

OBJECTIVE: Aim: To research how the future dentists' professional self-determination (reflects the cognitive-reflexive component of higher medical education applicants' readiness to use digital technologies in their professional activities) develops within the formation of information technology competence in the modern realities of Ukraine. PATIENTS AND METHODS: Materials and Methods: The author's questionnaire consisted of 15 questions. The questionnaire surveys covered 98 future dentists who studied 'Medical Informatics' and 'Information Technology in Dentistry' at the Ivano-Frankivsk National Medical University in the September-December 2017-2018 and September- December 2022-2023 academic years. The research results were assessed according to the algorithm described. The research used such methods as analysis, synthesis, comparison, concretisation, systematisation, and generalisation, as well as methods of mathematical statistics for evaluating data, namely correlation analysis, Kolmogorov-Smirnov test, Cronbach's alpha, Fisher's test (F-test of equality of variances), Student's t-test and ranking. RESULTS: Results: The research found positive dynamics of the professional self-determination levels (in 2022 compared to 2017, the low level decreased by 20.5%, the satisfactory level - by 19.0%, the average level increased by 20.6%, the high level - by 18.9%) and their quality, which within the research increased by 39.5%. CONCLUSION: Conclusions: By forming information technology competence, future dentists changing the priorities of professional self-determination in the modern realities of Ukraine and acquiring readiness (within the cognitive-reflexive component) to use digital technologies in professional activities.

Exploring causality with biliary atresia at different levels: two-sample Mendelian randomization study.

Background: In recent years, Mendelian randomization (MR) has been widely used to infer causality of related disease risk exposures. However, this strategy has not been applied to biliary atresia (BA). Methods: Genome-wide association studies (GWAS) data of 41 inflammatory cytokines, 731 immune cell traits, and 1400 metabolites were obtained from public databases as exposure factors. The outcome information was obtained from a GWAS meta-analysis of 499 children with BA and 1928 normal controls. Inverse variance weighting was the primary causality analysis. Cochran Q-test, MR-Egger intercept, MR pleiotropy residual sum and outlier, and 'leave-one-out' analyses were used for sensitivity analysis. Reverse MR, MR-Steiger, and Linkage Disequilibrium Score were used to exclude the effects of reverse causality, genetic association, and linkage disequilibrium. Results: MR results showed that a total of seven traits had potential causal relationships with BA, including three inflammatory cytokines: eotaxin (odds ratio (OR)=1.45, 95% confidence interval (CI): 1.08 to 1.95, p FDR=0.18), G-CSF (OR=4.21, 95% CI: 1.75 to 10.13, p FDR=0.05) and MCP-1/MCAF (OR=1.53, 95% CI: 1.12 to 2.10, p FDR=0.14); three immune cell traits: CD8dim NKT/T cells ratio (OR=0.59, 95% CI: 0.45 to 0.77, p FDR=0.06), CD8dim NKT counts (OR=0.58, 95% CI: 0.43 to 0.78, p FDR=0.06), CD8dim NKT/lymphocyte ratio (OR=0.63, 95% CI: 0.49 to 0.81, p FDR=0.06); one metabolite: X-12261 levels (OR=2.86, 95% CI: 1.73 to 4.74, p FDR=0.06). Conclusions: In this study, eotaxin, G-CSF, MCP-1/MCAF, and X-12261 levels were shown to be risk factors for BA. However, CD8dim NKT/T cells ratio, CD8dim NKT counts, and CD8dim NKT/lymphocyte ratio were protective factors for BA. These findings provided a promising genetic basis for the etiology, diagnosis, and treatment of BA.

Machine Learning to Identify Clusters in Family Medicine Diplomate Motivations and Their Relationship to Continuing Certification Exam Outcomes: Findings and Potential Future Implications.

BACKGROUND: The potential for machine learning (ML) to enhance the efficiency of medical specialty boards has not been explored. We applied unsupervised ML to identify archetypes among American Board of Family Medicine (ABFM) Diplomates regarding their practice characteristics and motivations for participating in continuing certification, then examined associations between motivation patterns and key recertification outcomes. METHODS: Diplomates responding to the 2017 to 2021 ABFM Family Medicine continuing certification examination surveys selected motivations for choosing to continue certification. We used Chi-squared tests to examine difference proportions of Diplomates failing their first recertification examination attempt who endorsed different motivations for maintaining certification. Unsupervised ML techniques were applied to generate clusters of physicians with similar practice characteristics and motivations for recertifying. Controlling for physician demographic variables, we used logistic regression to examine the effect of motivation clusters on recertification examination success and validated the ML clusters by comparison with a previously created classification schema developed by experts. RESULTS: ML clusters largely recapitulated the intrinsic/extrinsic framework devised by experts previously. However, the identified clusters achieved a more equal partitioning of Diplomates into homogenous groups. In both ML and human clusters, physicians with mainly extrinsic or mixed motivations had lower rates of examination failure than those who were intrinsically motivated. DISCUSSION: This study demonstrates the feasibility of using ML to supplement and enhance human interpretation of board certification data. We discuss implications of this demonstration study for the interaction between specialty boards and physician Diplomates.

What Complexity Science Predicts About the Potential of Artificial Intelligence/Machine Learning to Improve Primary Care.

Primary care physicians are likely both excited and apprehensive at the prospects for artificial intelligence (AI) and machine learning (ML). Complexity science may provide insight into which AI/ML applications will most likely affect primary care in the future. AI/ML has successfully diagnosed some diseases from digital images, helped with administrative tasks such as writing notes in the electronic record by converting voice to text, and organized information from multiple sources within a health care system. AI/ML has less successfully recommended treatments for patients with complicated single diseases such as cancer; or improved diagnosing, patient shared decision making, and treating patients with multiple comorbidities and social determinant challenges. AI/ML has magnified disparities in health equity, and almost nothing is known of the effect of AI/ML on primary care physician-patient relationships. An intervention in Victoria, Australia showed promise where an AI/ML tool was used only as an adjunct to complex medical decision making. Putting these findings in a complex adaptive system framework, AI/ML tools will likely work when its tasks are limited in scope, have clean data that are mostly linear and deterministic, and fit well into existing workflows. AI/ML has rarely improved comprehensive care, especially in primary care settings, where data have a significant number of errors and inconsistencies. Primary care should be intimately involved in AI/ML development, and its tools carefully tested before implementation; and unlike electronic health records, not just assumed that AI/ML tools will improve primary care work life, quality, safety, and person-centered clinical decision making.

[Use of social networks as a source of information on health and digital health literacy in the Spanish general population]. / Uso de redes sociales como fuente de información sobre salud y alfabetización digital en salud en población general española.

OBJECTIVE: Social media allows individuals to access a vast amount of health-related information immediately and anonymously, a fact that is turning these platforms into one of the primary sources of reference in this area, especially for younger generations. Given this reality, the objective of determining the impact of social media on digital health literacy in the general Spanish population was proposed. METHODS: A cross-sectional descriptive study was carried out in 2023. Using a non-probabilistic sampling, the population residing in Spain, over eighteen years old, and users of social networks were included, obtaining a sample of 1,307 participants. An adaptation of the validated eHEALS questionnaire on digital health literacy was used. This questionnaire, created in Microsoft Forms, was disseminated through an anonymous link via the research team's social networks and collaborators. A descriptive and inferential statistical analysis was performed using SPSS 22.0, assuming a significance level with a value of p<0.05. RESULTS: All participants affirmed having consumed health information through social networks, but 72.1% stated they had actively used these platforms to search for this health information. Regarding digital health literacy, a median score of 24 out of 40 points was obtained on the questionnaire, being significantly higher among those who claimed to use social networks as a source of health information (p=0.0001). CONCLUSIONS: Actively employing social media as a source of health information is associated with a higher level of digital health literacy.

OBJECTIVE: Las redes sociales permiten a las personas acceder de manera inmediata y anónima a una cantidad ingente de información sobre aspectos de salud, hecho que está provocando que se estén convirtiendo en una de las fuentes de referencia en este ámbito, sobre todo para las generaciones más jóvenes. Atendiendo a esta realidad se planteó el objetivo de determinar el impacto de las redes sociales en la alfabetización digital en salud en la población general española. METHODS: Se realizó un estudio descriptivo transversal en el año 2023. Mediante un muestreo no probabilístico, se incluyó población residente en España, mayor de dieciocho años y usuaria de redes sociales, obteniendo una muestra de 1.307 participantes. Se utilizó una adaptación del cuestionario validado eHEALS sobre alfabetización digital en salud. Dicho cuestionario, elaborado en Microsoft Forms, fue difundido mediante un enlace anónimo a través de las redes sociales del equipo investigador y colaboradores. Se realizó un análisis estadístico descriptivo e inferencial mediante SPSS 22.0, asumiendo un nivel de significación con un valor de p<0,05. RESULTS: La totalidad de los participantes afirmaron haber consumido información sobre salud a través de redes sociales, pero fue el 72,1% el que afirmó haber usado estas plataformas activamente para buscar esta información sobre salud. Con respecto a la alfabetización digital en salud, se obtuvo una puntuación mediana en el cuestionario de 24 sobre 40 puntos, siendo significativamente mayor entre los que afirmaron usar las redes sociales como fuente de información sobre salud (p=0,0001). CONCLUSIONS: Emplear de manera activa las redes sociales como fuente de información sobre salud parece tener relación con un mayor nivel de alfabetización digital en salud.

Digital resources in the monitoring of patients with cleft lip and palate: protocol for a scoping review.

INTRODUCTION: Cleft lip and/or palate (CL+/-P) is a congenital malformation affecting the lip and palate, requiring long-term treatment due to potential associated complications. For this reason, it is important for the patient to be continuously monitored and followed for health promotion and prevention, as well as improving the quality of life. The aim of this scoping review protocol is to identify and map the available evidence regarding the application of digital resources and technologies in the monitoring and follow-up of patients with CL+/-P. METHODS AND ANALYSIS: This scoping review protocol follows the guidelines recommended by the Joanna Briggs Institute Manual, employing the PCC acronym (Patient/Concept/Context). Searches will be conducted, in May 2024, of PubMed, Web of Science, Scopus, Latin American and Caribbean Health Sciences Literature, ScienceDirect, as well as grey literature indexed in ProQuest Open Access Dissertations & Theses and Google Scholar. The review will consider all types of published studies, including grey literature, in English, Portuguese and Spanish languages, and will consider studies regardless of publication date. Exclusions will apply to studies that do not address the use of digital resources and technologies in CL+/-P monitoring and follow-up. ETHICS AND DISSEMINATION: As this is a scoping review, no ethics committee approval is required. After completion, the plan is to publish results in scientific journals on craniofacial malformations. STUDY REGISTRATION: Open Science Framework, DOI:10.17605/OSF.IO/Y6AG8.

Modelling of physicians' clinical information-seeking behaviour in Iran: a grounded theory study.

OBJECTIVES: Exploring clinical information-seeking behaviour (CISB) and its associated factors contributes to its theoretical advancement and offers a valuable framework for addressing physicians' information needs. This study delved into the dimensions, interactions, strategies and determinants of CISB among physicians at the point of care. DESIGN: A grounded theory study was developed based on Strauss and Corbin's approach. Data were collected by semistructured interviews and then analysed through open, axial and selective coding. SETTING: The study was conducted at academic centres affiliated with Isfahan University of Medical Sciences. PARTICIPANTS: This investigation involved recruiting 21 specialists and subspecialists from the academic centres. RESULTS: The findings revealed that physicians' CISB encompassed multiple dimensions when addressing clinical inquiries. Seven principal themes emerged from the analysis: 'clinical information needs', 'clinical question characteristics', 'clinical information resources', 'information usability', 'factors influencing information seeking', 'action/interaction encountering clinical questions' and 'consequences of CISB'. The core category identified in this study was 'focused attention'. CONCLUSIONS: The theoretical explanation demonstrated that the CISB process was interactive and dynamic. Various stimuli, including causal, contextual and intervening conditions, guide physicians in adopting information-seeking strategies and focusing on resolving clinical challenges. However, insufficient stimuli may hinder physicians' engagement in CISB. Understanding CISB helps managers, policy-makers, clinical librarians and information system designers optimally implement several interventions, such as suitable training methods, reviewing monitoring and evaluating information systems, improving clinical decision support systems, electronic medical records and electronic health records, as well as monitoring and evaluating these systems. Such measures facilitate focused attention on clinical issues and promote CISB among physicians.

Análisis de las interrupciones generadas por el uso de los smartphones entre los profesionales sanitarios de Atención Primaria / Analysis of the interruptions generated by the use of smartphones among Primary Care Health professionals

Objetivo: Analizar el uso particular de los smartphones entre los profesionales sanitarios de Atención Primaria durante el acto asistencial y sus consecuencias. Diseño: Estudio multicéntrico, transversal en un entorno de atención primaria, realizado en 3 fases: encuesta a profesionales, checklist de profesionales y encuesta a pacientes. Participantes: Profesionales sanitarios de atención primaria de la Gerencia Territorial de Atención Primaria de Barcelona (encuesta online) y profesionales sanitarios (checklist) y pacientes (encuesta a los pacientes) de 2equipos de Atención Primaria de Barcelona ciudad. Mediciones principales: Análisis descriptivo bivariado de las variables de las distintas encuestas. Utilización del teléfono móvil en la consulta, tiempo, motivo, tipo de uso y percepción de adecuación. Características de las interrupciones. Resultados: En relación con los pacientes, un 31% considera que el profesional sanitario solo debe consultar el teléfono móvil si es para resolver algún aspecto de su motivo de consulta y un 10% lo considera una falta de respeto. El 18% de los pacientes describen interrupciones, siendo la mayoría de entre 10 y 30 s de duración y considerándolas en su mayoría evitables. En relación con los profesionales, la mayoría (96%) afirma tener el teléfono móvil en la consulta y de manera silenciada (77%), y reconociendo solo el 2% su uso en presencia del paciente, lo que contrasta con lo descrito por los pacientes. Además, el 80% de los profesionales afirman pedir permiso para utilizarlo, contrastando con lo que refieren los pacientes (50%). El 85% de los profesionales consideran su uso como adecuado...(AU)

Objective: To analyze the particular use of smartphones among Primary Care Health professionals during the care act and its consequences. Design: Multicenter, cross-sectional study in a primary care setting, carried out in 3phases: survey of professionals, checklist of professionals and survey of patients. Participants: Primary Care Health professionals from the Territorial Primary Care Management of Barcelona (online survey) and health professionals (checklist) and patients (patient survey) from 2primary care teams in Barcelona city. Main measurements: Bivariate descriptive analysis of the variables from the different surveys. Use of the mobile phone in the consultation, time, reason, type of use and perception of appropriateness. Characteristics of interruptions. Results: In relation to patients, 31% consider that the health professional should only consult the mobile phone if it is to resolve some aspect of their reason for consultation and 10% consider it a lack of respect. Eighteen percent of patients describe interruptions, the majority lasting between 10 and 30s and considering them mostly avoidable. In relation to professionals, the majority (96%) claim to have their mobile phone in the consultation and on mute (77%), with only 2% recognizing its use in the presence of the patient, which is in line with what the patients describe. Furthermore, 80% of professionals say they ask permission to use it, contrasting with what patients report (50%). Eighty-five percent of professionals consider its use appropriate. Conclusions: The use of mobile phones is perceived by patients as an interruption that can affect the care act, generating dissatisfaction, which must be taken into account by health professionals. Healthcare organizations should establish recommendations regarding the use of mobile phones in consultations.

The Annual Wellness Visit Health Risk Assessment: Potential of Patient Portal-Based Completion and Patient-Oriented Education and Support.

Background and Objectives: Patient portals are secure online platforms that allow patients to perform electronic health management tasks and engage in bidirectional information exchange with their care team. Some health systems administer Medicare Annual Wellness Visit (AWV) health risk assessments through the patient portal. Scalable opportunities from portal-based administration of risk assessments are not well understood. Our objective is 2-fold-to understand who receives vs misses an AWV and health risk assessment and explore who might be missed with portal-based administration. Research Design and Methods: This is an observational study of electronic medical record and patient portal data (10/03/2021-10/02/2022) for 12 756 primary care patients 66+ years from a large academic health system. Results: Two-thirds (n = 8420) of older primary care patients incurred an AWV; 81.0% of whom were active portal users. Older adults who were active portal users were more likely to incur AWV than those who were not, though portal use was high in both groups (81.0% with AWV vs 76.8% without; p < .001). Frequently affirmative health risk assessment categories included falls/balance concerns (44.2%), lack of a documented advanced directive (42.3%), sedentary behaviors (39.9%), and incontinence (35.1%). Mean number of portal messages over the 12-month observation period varied from 7.2 among older adults affirmative responses to concerns about safety at home to 13.8 for older adults who reported difficulty completing activities of daily living. Portal messaging varied more than 2-fold across affirmative health risk categories and were marginally higher with greater number affirmative (mean = 13.8 messages/year no risks; 19.6 messages/year 10+ risks). Discussion and Implications: Most older adults were active portal users-a group more likely to have incurred a billed AWV. Efforts to integrate AWV risk assessments in the patient portal may streamline administration and scalability for dissemination of tailored electronically mediated preventive care but must attend to equity issues.

Evaluating Pilot Implementation of 'PenCS Flu Topbar' App in Medical Practices to Improve National Immunisation Program-Funded Seasonal Influenza Vaccination in Central Queensland, Australia.

BACKGROUND: The 'PenCS Flu Topbar' app was deployed in Central Queensland (CQ), Australia, medical practices through a pilot programme in March 2021. METHODS: We evaluated the app's user experience and examined whether the introduction of 'PenCS Flu Topbar' in medical practices could improve the coverage of NIP-funded influenza vaccinations. We conducted a mixed-method study including a qualitative analysis of in-depth interviews with key end-users and a quantitative analysis of influenza vaccine administrative data. RESULTS: 'PenCS Flu Topbar' app users reported positive experiences identifying patients eligible for NIP-funded seasonal influenza vaccination. A total of 3606 NIP-funded influenza vaccinations was administered in the eight intervention practices, 14% higher than the eight control practices. NIP-funded vaccination coverage within practices was significantly higher in the intervention practices (31.2%) than in the control practices (27.3%) (absolute difference: 3.9%; 95% CI: 2.9%-5.0%; p < 0.001). The coverage was substantially higher in Aboriginal and Torres Strait Islander people aged more than 6 months, pregnant women and children aged 6 months to less than 5 years for the practices where the app was introduced when compared to control practices: incidence rate ratio (IRR) 2.4 (95% CI: 1.8-3.2), IRR 2.7 (95% CI: 1.8-4.2) and IRR 2.3 (1.8-2.9) times higher, respectively. CONCLUSIONS: Our evaluation indicated that the 'PenCS Flu Topbar' app is useful for identifying the patients eligible for NIP-funded influenza vaccination and is likely to increase NIP-funded influenza vaccine coverage in the eligible populations. Future impact evaluation including a greater number of practices and a wider geographical area is essential.

Using Mixed Reality Simulation to Improve Junior Medical Trainees' Preparedness to Manage High-Acuity Trauma.

High-acuity trauma necessitates experienced and rapid intervention to prevent patient harm. However, upskilling junior trainees through hands-on management of real trauma cases is rarely feasible without compromising patient safety. This quality education report sought to investigate whether a simulation course operated via mixed reality (MR) headset devices (Microsoft HoloLens) could enhance the clinical knowledge recall and preparedness to practice of junior trainees with no prior experience managing trauma.The Plan-Do-Study-Act quality improvement method was used to refine six emergency trauma vignettes compatible with an MR teaching platform. Each vignette was curated by a multidisciplinary team of orthopaedic surgeons, clinical fellows and experts in simulation-based medical education. As a baseline assessment, a 2-hour emergency trauma course was delivered using traditional didactic methods to a cohort of pre-registration medical students with no clinical exposure to high-acuity trauma (n=16). Next, we delivered the MR simulation to an equivalent cohort (n=32). Clinical knowledge scores derived from written test papers were recorded for each group during and 2 weeks after each course. Each attendee's end-of-rotation clinical supervisor appraisal grade was recorded, as determined by a consultant surgeon who supervised participants during a 2-week placement on a major trauma ward. Balancing measures included participant feedback and validated cognitive load questionnaires (National Aeronautics and Space Administration-Task Load Index).Overall, attendees of the MR simulation course achieved and sustained higher clinical knowledge scores and were more likely to receive a positive consultant supervisor appraisal. This project serves as a proof of concept that MR wearable technologies can be used to improve clinical knowledge recall and enhance the preparedness to practice of novice learners with otherwise limited clinical exposure to high-acuity trauma.

Multi-dimensional challenges in the Indonesian social science information technology-based learning: A systematic literature review.

The development of information technology (IT) has an essential role in education today. Most teachers in Indonesia utilize the traditional method rather than the advancement of IT. Through digital media, the social science learning process becomes fascinating, improves students' skills, and is more engaging. However, implementing Information Technology-based Learning (ITBL) takes a lot of work. It comes with tremendous challenges that should be addressed carefully. Many previous studies explain the feasibility of the media, its effectiveness, and the advantages of using IT-based learning media. However, they still need to present the challenges in IT-based social science learning, even more so in the Indonesian context. Given the vast landscape of ITBL in Indonesia, a case study approach could entail extensive fieldwork, data collection, and data analysis. Therefore, A literature review can be carried out with less resource investment, making it a pragmatic choice for researchers with limited time and resources. This research aims to discover the challenges of students, teachers, and educational institutions in IT-based social science learning in the Indonesian context. The search protocol is based on the P.R.I.S.M.A. (Preferred Reporting Items for Systematic Reviews and Meta-analysis). This systematic literature review results were obtained from 315 articles discussing the challenges of IT-based social science learning published from 2018 until 2022. This research reveals that most challenges students face are internal/self-challenges. For instance, there needs to be more self-regulation and necessary digital literation. On the other hand, teachers' most significant challenge is their lack of skills and experience in implementing IT-based learning media and their inability to operate complex software, even if they have poor digital literacy. The need for facilities and technological training presents challenges for institutions. The need to procure IT infrastructure is due to the difficulty of reaching certain areas (the terrain) in Indonesia. The challenges encountered by students, teachers, and educational institutions are not exclusive to any particular group and extend beyond their respective domains. Addressing the multi-dimensional challenges would be more efficient. The poor digital literacy challenges occurred in other nations, too. This particular challenge can be solved through instructional training. Moreover, the Indonesian government offers numerous free digital training programs for individuals or institutions called "Digitalent."

Facing the digital frontier: exploring user acceptance of electronic health records in an urban, rural and remote setting in the Philippines.

OBJECTIVES: A thorough understanding of user needs and behavioural intent-to-use underpins the development of a responsive health information system. This study aimed to examine health workers' intent-to-use an electronic health record (EHR) system in an urban, rural and remote setting in the Philippines. METHODS: Following the Unified Theory of Acceptance and Use of Technology framework, user acceptance and the factors influencing intent-to-use the EHR were examined through a self-administered questionnaire. A total of 128 EHR users, comprising physicians, nurses, midwives, barangay health workers and administrative staff, were surveyed. Median scores for each domain were compared across the sites using the Kruskal-Wallis test. Ridge regression analysis was used to identify factors associated with behavioural intent-to-use. RESULTS: Over 94% of users across all sites reported their intent-to-use the EHR in the near future. Of the seven predictor variables examined, only self-efficacy was found to be significantly associated with behavioural intent-to-use. Intent-to-use the EHR increased by 31% (p=0.007) for each unit increase in self-efficacy score among participants. DISCUSSION: Acceptance was high across the three sites, with self-efficacy being a predictor of intent-to-use the technology. This suggests that users are more likely to adopt an EHR if they believe they have the capacity to successfully navigate the technology and perform their designated tasks with it. CONCLUSION: Co-producing interventions with primary care providers is crucial in sustaining EHR systems. Rather than developing a technology based on the surveillance needs of policymakers, an EHR developed from the grassroots was shown to be well-received by end-users.