The Use of Online Consultation Systems or Remote Consulting in England Characterized Through the Primary Care Health Records of 53 Million People in the OpenSAFELY Platform: Retrospective Cohort Study.

BACKGROUND: The National Health Service (NHS) Long Term Plan, published in 2019, committed to ensuring that every patient in England has the right to digital-first primary care by 2023-2024. The COVID-19 pandemic and infection prevention and control measures accelerated work by the NHS to enable and stimulate the use of online consultation (OC) systems across all practices for improved access to primary care. OBJECTIVE: We aimed to explore general practice coding activity associated with the use of OC systems in terms of trends, COVID-19 effect, variation, and quality. METHODS: With the approval of NHS England, the OpenSAFELY platform was used to query and analyze the in situ electronic health records of suppliers The Phoenix Partnership (TPP) and Egton Medical Information Systems, covering >53 million patients in >6400 practices, mainly in 2019-2020. Systematized Medical Nomenclature for Medicine-Clinical Terminology (SNOMED-CT) codes relevant to OC systems and written OCs were identified including eConsultation. Events were described by volumes and population rates, practice coverage, and trends before and after the COVID-19 pandemic. Variation was characterized among practices, by sociodemographics, and by clinical history of long-term conditions. RESULTS: Overall, 3,550,762 relevant coding events were found in practices using TPP, with the code eConsultation detected in 84.56% (2157/2551) of practices. Activity related to digital forms of interaction increased rapidly from March 2020, the onset of the pandemic; namely, in the second half of 2020, >9 monthly eConsultation coding events per 1000 registered population were registered compared to <1 a year prior. However, we found large variations among regions and practices: December 2020 saw the median practice have 0.9 coded instances per 1000 population compared to at least 36 for the highest decile of practices. On sociodemographics, the TPP cohort with OC instances, when compared (univariate analysis) to the cohort with general practitioner consultations, was more predominantly female (661,235/1,087,919, 60.78% vs 9,172,833/17,166,765, 53.43%), aged 18 to 40 years (349,162/1,080,589, 32.31% vs 4,295,711/17,000,942, 25.27%), White (730,389/1,087,919, 67.14% vs 10,887,858/17,166,765, 63.42%), and less deprived (167,889/1,068,887, 15.71% vs 3,376,403/16,867,074, 20.02%). Looking at the eConsultation code through multivariate analysis, it was more commonly recorded among patients with a history of asthma (adjusted odds ratio [aOR] 1.131, 95% CI 1.124-1.137), depression (aOR 1.144, 95% CI 1.138-1.151), or atrial fibrillation (aOR 1.119, 95% CI 1.099-1.139) when compared to other patients with general practitioner consultations, adjusted for long-term conditions, age, and gender. CONCLUSIONS: We successfully queried general practice coding activity relevant to the use of OC systems, showing increased adoption and key areas of variation during the pandemic at both sociodemographic and clinical levels. The work can be expanded to support monitoring of coding quality and underlying activity. This study suggests that large-scale impact evaluation studies can be implemented within the OpenSAFELY platform, namely looking at patient outcomes.

Online Privacy-Preserving EEG Classification by Source-Free Transfer Learning.

Electroencephalogram (EEG) signals play an important role in brain-computer interface (BCI) applications. Recent studies have utilized transfer learning to assist the learning task in the new subject, i.e., target domain, by leveraging beneficial information from previous subjects, i.e., source domains. Nevertheless, EEG signals involve sensitive personal mental and health information. Thus, privacy concern becomes a critical issue. In addition, existing methods mostly assume that a portion of the new subject's data is available and perform alignment or adaptation between the source and target domains. However, in some practical scenarios, new subjects prefer prompt BCI utilization over the time-consuming process of collecting data for calibration and adaptation, which makes the above assumption difficult to hold. To address the above challenges, we propose Online Source-Free Transfer Learning (OSFTL) for privacy-preserving EEG classification. Specifically, the learning procedure contains offline and online stages. At the offline stage, multiple model parameters are obtained based on the EEG samples from multiple source subjects. OSFTL only needs access to these source model parameters to preserve the privacy of the source subjects. At the online stage, a target classifier is trained based on the online sequence of EEG instances. Subsequently, OSFTL learns a weighted combination of the source and target classifiers to obtain the final prediction for each target instance. Moreover, to ensure good transferability, OSFTL dynamically updates the transferred weight of each source domain based on the similarity between each source classifier and the target classifier. Comprehensive experiments on both simulated and real-world applications demonstrate the effectiveness of the proposed method, indicating the potential of OSFTL to facilitate the deployment of BCI applications outside of controlled laboratory settings.

Comparison of the influenza vaccination coverage among high-risk people between the online registration system and walk-in service system in Bangkok, Thailand.

Until recently, the Thai national program of seasonal influenza vaccination for high-risk people has been using a walk-in service system. However, in 2020, an online registration system was introduced in Bangkok to improve vaccine coverage. This study aimed to compare the coverage of influenza vaccination between the walk-in service and online registration systems. The study participants included 374,710 Thai individuals who obtained an influenza vaccination from the national program in the Bangkok health region in 2018 (n = 162,214) and in 2020 (n = 212,496). The registration systems that were examined were the walk-in service system in 2018 and the online registration system in 2020. The characteristics of vaccine recipients and the vaccine coverage in each risk group and health facility level were compared between the two systems. Coverage comparison in Bangkok between the years 2018 and 2020 showed an increase in coverage, particularly among individuals who had an influenza vaccination at health facilities of the primary level and in the elderly and obesity groups. The coverage among children was lowest among all high-risk groups. To improve coverage in Thailand, the online registration system should be introduced in all regions. Additionally, information about influenza vaccination for children should be disseminated to parents using handbooks or by word-of-mouth from healthcare workers.

Adaptive EMG decomposition in dynamic conditions based on online learning metrics with tunable hyperparameters.

Objective. Developing neural decoders robust to non-stationary conditions is essential to ensure their long-term accuracy and stability. This is particularly important when decoding the neural drive to muscles during dynamic contractions, which pose significant challenges for stationary decoders.Approach. We propose a novel adaptive electromyography (EMG) decomposition algorithm that builds on blind source separation methods by leveraging the Kullback-Leibler divergence and kurtosis of the signals as metrics for online learning. The proposed approach provides a theoretical framework to tune the adaptation hyperparameters and compensate for non-stationarities in the mixing matrix, such as due to dynamic contractions, and to identify the underlying motor neuron (MN) discharges. The adaptation is performed in real-time (∼22 ms of computational time per 100 ms batches).Main results. The hyperparameters of the proposed adaptation captured anatomical differences between recording locations (forearm vs wrist) and generalised across subjects. Once optimised, the proposed adaptation algorithm significantly improved all decomposition performance metrics with respect to the absence of adaptation in a wide range of motion of the wrist (80∘). The rate of agreement, sensitivity, and precision were⩾90%in⩾80%of the cases in both simulated and experimentally recorded data, according to a two-source validation approach.Significance. The findings demonstrate the suitability of the proposed online learning metrics and hyperparameter optimisation to compensate the induced modulation and accurately decode MN discharges in dynamic conditions. Moreover, the study proposes an experimental validation method for EMG decomposition in dynamic tasks.

Impact of an online reference system on the diagnosis of rare or atypical abdominal tumors and lesions.

The purpose of the present study is to evaluate whether an online reference system (ORS, STATdx Elsevier, Amsterdam, Netherlands) impacts finding the histologically confirmed diagnosis of rare or atypical abdominal tumors and lesions in radiologic imaging. In total, 101 patients with rare tumor entities or lesions and atypical manifestations of common tumors were enrolled retrospectively. Blinded readings were performed by four radiologists with varying levels of experience, who reported on: (a) correct diagnosis (CD), (b) time needed to find the diagnosis, and (c) diagnostic confidence, initially without followed by the assistance of the ORS. The experienced reader (3 years of experience post-residency, CD 49.5%), as well as the advanced reader with 1 year of experience post-residency (CD 43.6%), and a resident with 5 years of experience (CD 46.5%) made the correct diagnosis more frequently compared to the less experienced reader (CD 25.7%). A significant improvement in making the correct diagnosis was only achieved by the advanced reader, the resident with 5 years of experience (CD with ORS 58.4%; p < 0.001). The advanced reader with 1 year of experience post-residency improved slightly (CD ORS 47.5%). The experienced reader (CD ORS 50.5%) and the less experienced reader (CD ORS 27.7%) did not improve significantly. The overall subjective confidence increased significantly when ORS was used (3.2 ± 0.9 vs. 3.8 ± 0.9; p < 0.001). While the ORS had a positive impact on making the correct diagnosis throughout all readers, it favored radiologists with more clinical experience rather than inexperienced residents. Moreover, the ORS increased the diagnostic confidence of all radiologists significantly. In conclusion, the ORS had no significant impact on the diagnosis of rare or atypical abdominal tumors and lesions except for one reader. The greatest benefit is the increase in diagnostic confidence.

Comparing online wrist and forearm EMG-based control using a rhythm game-inspired evaluation environment.

Objective.The use of electromyogram (EMG) signals recorded from the wrist is emerging as a desirable input modality for human-machine interaction (HMI). Although forearm-based EMG has been used for decades in prosthetics, there has been comparatively little prior work evaluating the performance of wrist-based control, especially in online, user-in-the-loop studies. Furthermore, despite different motivating use cases for wrist-based control, research has mostly adopted legacy prosthesis control evaluation frameworks.Approach.Gaining inspiration from rhythm games and the Schmidt's law speed-accuracy tradeoff, this work proposes a new temporally constrained evaluation environment with a linearly increasing difficulty to compare the online usability of wrist and forearm EMG. Compared to the more commonly used Fitts' Law-style testing, the proposed environment may offer different insights for emerging use cases of EMG as it decouples the machine learning algorithm's performance from proportional control, is easily generalizable to different gesture sets, and enables the extraction of a wide set of usability metrics that describe a users ability to successfully accomplish a task at a certain time with different levels of induced stress.Main results.The results suggest that wrist EMG-based control is comparable to that of forearm EMG when using traditional prosthesis control gestures and can even be better when using fine finger gestures. Additionally, the results suggest that as the difficulty of the environment increased, the online metrics and their correlation to the offline metrics decreased, highlighting the importance of evaluating myoelectric control in real-time evaluations over a range of difficulties.Significance.This work provides valuable insights into the future design and evaluation of myoelectric control systems for emerging HMI applications.

Development of an Online Training System on Pulmonary Aspiration for Clinical Nurses.

Pulmonary aspiration is a particularly problematic condition in patients in hospitals and nursing home. To promote patient safety and prevent serious complications, the nurse's role in preventing and caring for patient at high risk of pulmonary aspiration is crucial. Our team has developed an online training system on pulmonary aspiration for nurses to improve their ability to identify early risk factors, scientifically assess the risk of aspiration, and effectively intervene and manage when pulmonary aspiration occurs. This system was developed via WeChat app, the most popular social media application in China. It has four main functions, such as online training, online assessment, announcement interaction, and learning record. This online training systems offer the benefits of flexible learning time with anytime access, rich resources that are easy to update, and greater cost-effectiveness. This paper presents and discusses the development process of this system.

Determination of tetrodotoxin in human plasma and urine using online MCX SPE column cleanup coupled with liquid chromatography-tandem mass spectrometry.

An efficient technique for quantitative analysis of tetrodotoxin (TTX) in human plasma and urine has been developed, which combines liquid chromatography-tandem mass spectrometry (LC-MS/MS) with online MCX solid phase extraction (SPE) cleanup. Sample preparation, including extraction with acetonitrile containing 0.5 % acetate acid, centrifugation, and filtration, was followed by online SPE cleanup. The whole run-time was less than 15 min, including online cleanup, chromatographic separation, and re-equilibration of the online SPE - LC-MS/MS system. The parameters of sample extraction, purification, separation, and detection were optimized. The matrix-matched internal standard calibration standard curves with linear regression coefficients larger than 0.9990 were established for quantification. The LOD and LOQ for this approach were determined to be 0.1 ng/mL and 0.3 ng/mL, respectively. The recoveries for varied concentrations of TTX in human plasma and urine were 84.9-104.2 % and 89.2-109.6 %, respectively. The matrix effects of TTX in human plasma and urine matrices were 85.5 % and 74.3 %, respectively, and both the inter- and intra-day precision values were less than 9.5 %. This analytical method was successfully employed for detecting TTX in biological samples from a poisoned patient who accidentally ingested the nassarius glans.

Evaluation of PTV margin in CBCT-based online adaptive radiation therapy for gastric mucosa-associated lymphoid tissue lymphoma.

The aim of this study was to investigate planning target volume (PTV) margin in online adaptive radiation therapy (oART) for gastric mucosa-associated lymphoid tissue (MALT) lymphomas. Four consecutive patients with gastric MALT lymphoma who received oART (30 Gy in 15 fractions) on the oART system were included in this study. One hundred and twenty cone-beam computed tomography (CBCT) scans acquired pre- and post-treatment of 60 fractions for all patients were used to evaluate intra- and interfractional motions. Patients were instructed on breath-holding at exhalation during image acquisition. To assess the intrafraction gastric motion, different PTVs were created by isotropically extending the CTV contoured on a pre-CBCT image (CTVpre) at1 mm intervals. Intrafraction motion was defined as the amount of expansion covering the contoured CTV on post-CBCT images (CTVpost). Interfractional motion was defined as the amount of reference CTV expansion that could cover each CTVpre, as well as the evaluation of the intrafractional motion. PTV margins were estimated from the cumulative proportion of fraction covering the intra- and interfractional motions. The extent of expansion covering the CTVs in 90% of fractions was adopted as the PTV margin. The PTV margin for intrafractional gastric motion using the oART system with breath-holding was 14 mm. In contrast, the PTV margin for interfractional gastric organ motion without the oART system was 25 mm. These results indicated that the oART system can reduce the PTV margin by >10 mm. Our results could be valuable data for oART cases.

The threshold of rural placement frequency and duration: A repeated cross-sectional study examining rural career aspirations among student nurses.

AIM: This study aimed to explore what changes rural placement had on the perceptions of nursing students and the impact of placement frequency and duration on student considerations for rural practice. BACKGROUND: A strong rural healthcare workforce is a global concern and has led countries to look for creative ways to address this challenge. One approach is to train more health professionals, however, nursing students who grew up or lived in metropolitan or urbanised areas are suggested to be less inclined to pursue a rural career. As such it is posited that recurrent exposure to rural settings may exert a positive impact on future intention for rural practice. However, there is a need to explore the specific thresholds related to both the frequency and duration of rural placement exposure, as well as the cumulative impact multiple rural placements may have on the intention to engage in rural practice. DESIGN: A repeated cross-sectional design. METHODS: All nursing students from an Australian regional university were invited to complete an online questionnaire between 2019 and 2023. Demographic and placement specific questions were included. A modified version of the Nursing Community Apgar tool also measured the importance of key variables in rural career decision-making. Data were analysed using independent sample t-tests and one-way ANOVAs. Significance was determined at two-tailed p≤.05. RESULTS: Among the 835 respondents (response rate 15.4%), the average number and duration of rural placements was 2.45 placements and 3.01 weeks respectively. Rural placements did not have an impact on students who resided rurally or regionally. However, among metropolitan students who had experienced more than three rural placements, or more than sixteen cumulative weeks of placement, were significantly more likely to consider rural employment. Greater number of rural placements and longer cumulative duration had the greatest impact. CONCLUSION: Issues related to the nursing rural workforce are dynamic and complex. Understanding the unique drivers that improve the rural experiences among students, particularly metropolitan students, can have an impact on decision-making to pursue employment in rural environments. Importantly, whilst professional and clinical motivation and experiences are influential factors, the socialisation, environment and community features are essential elements that influence students' decisions to pursue a career in rural practice. Undertaking a nuanced approach that facilitates rural practice understanding among students may help shape future employment decision-making.

Data resource profile of an online database system for forensic mental health services.

This paper introduces a forensic psychiatry database established in Japan and discusses its significance and future issues. The purpose of this Database, created under the Medical Treatment and Supervision Act (MTSA) Database Project, is to improve the quality of forensic psychiatry treatment. It can collect monthly data on "basic information," "Orders and hospitalizations under the MTSA," "Treatment process," "Criminal and medical treatment history," and "problematic behavior in the unit." The online system has accumulated data on more than 8,000 items in 24 broad categories. Medical data are exported from the medical care assisting system of 32 designated inpatient facilities in XML format and then saved on USB memory sticks. The files are imported into the Database system client, which sends the data to the Database server via a virtual private network. This system minimizes errors and efficiently imports patient data. However, there is a limitation that it is difficult to set items that need to be analyzed to solve everyday clinical problems into the database system because they tend to change over time. By evaluating the effectiveness of the Database, and collecting appropriate data, it is expected to disseminate a wide range of knowledge that will contribute to the future development of mental health and welfare care.

Survey of an online system for information to women with epilepsy of childbearing age and management during pregnancy: A 3-year evaluation.

OBJECTIVE: We developed an online tool for women with epilepsy consisting of two modules: one with information on pregnancy-related issues (information module) and one for reminders about blood test and communication about dose changes (pregnancy module). Our aim was to assess perceived value, user-friendliness and improvement of patient knowledge in users. METHODS: The system was launched in 2019 and patients invited by epilepsy nurses were asked to participate in a survey 1 month after the invitation for the information module, and 1 month postnatally for the pregnancy module. RESULTS: By November 2022, the system had been used by 96 individuals out of 100 invited in the pregnancy module, in a total of 114 pregnancies. One hundred and eleven women had been invited to the information module, and 70 of these accessed it. The survey received 96 answers (44 information, 52 pregnancy). User-friendliness was rated as good or very good by a little over half of the users; 55% in the information module and 52% in the pregnancy module. Among pregnant women, 83% found the TDM part useful and most would prefer a similar system in future pregnancies. Sixty-four percent of users of the information module and 48% of the pregnancy module found that the system had increased their knowledge. Two knowledge questions were answered correctly by a significantly higher proportion of those that had accessed the online information. SIGNIFICANCE: There was great demand for online communication during pregnancy and our experiences of implementation can hopefully assist digitalization of epilepsy care elsewhere. Online information also seems to increase knowledge about pregnancy-related issues, but our invitation-only method of inclusion was not effective for widespread dissemination. Patient-initiated access with optional epilepsy-team contact if questions arise could be an alternative. PLAIN LANGUAGE SUMMARY: We have performed a survey of users of a new Internet-based tool for information to women of childbearing age and communication about dose changes during pregnancy. Users were overall satisfied with the tool and answered some knowledge questions more accurately after accessing the information.

Evidence of intervention effectiveness with engaging leaders in hospital physiotherapy / Evidências de efetividade de intervenção com lideranças engajadoras na fisioterapia hospitalar / Evidencia de la eficacia de la intervención con líderes de compromiso en fisioterapia hospitalaria

Evidence-based positive interventions contribute to the promotion of workers' well-being. Accordingly, an intervention was carried out with 11 physiotherapist engaging leaders from a hospital in Porto Alegre to promote their engagement at work as a protection factor. A mixed transformative-sequential study was carried out, consisting of four phases with three stages of assessment. The effectiveness of the intervention was investigated using the Jacobson-Truax Method, evaluating the effects of the intervention on Engagement at Work, Perceived Social Support, Dispositional Hope, Gratitude, and Anxiety. The intervention integrated epistemological assumptions from the Job Demand-Resources Model and the Basic Psychological Needs Theory. The main result was the increased levels of work engagement, which strengthened positive psychological states, and had an anxiety-reducing effect during the COVID-19 pandemic. This study provides relevant contributions to positive development in mental health protection at work. (AU)

Intervenções positivas baseadas em evidências contribuem para promoção do bem-estar dos trabalhadores. Nesse sentido, foi realizada uma intervenção com 11 lideranças engajadoras de fisioterapeutas de um hospital de Porto Alegre para promover seu engajamento no trabalho como fator de proteção. Realizou-se estudo misto transformativo-sequencial, composto por quatro fases em três tempos de avaliação. A efetividade da intervenção foi investigada por meio do Método Jacobson-Truax, avaliando os efeitos da intervenção sobre os níveis de Engajamento no Trabalho, Suporte Social Percebido, Esperança Disposicional, Gratidão e Ansiedade. A intervenção integrou pressupostos epistemológicos do Modelo Recursos e Demandas no Trabalho e da Teoria das Necessidades Psicológicas Básicas. O principal resultado foi o aumento dos níveis de engajamento no trabalho, que fortaleceu estados psicológicos positivos, e teve efeito na redução dos níveis de ansiedade na pandemia de COVID-19. A pesquisa traz contribuições relevantes para o desenvolvimento positivo na proteção da saúde mental no trabalho. (AU)

Intervenciones positivas basadas en evidencia contribuyen a promoción del bienestar de los trabajadores. En ese sentido, se realizó una intervención con 11 fisioterapeutas líderes de compromiso de un hospital de Porto Alegre para promover su Engagement en el Trabajo como factor de protección. Se llevó a cabo un estudio mixto transformativo-secuencial, con cuatro fases y tres etapas de evaluación. Se investigó la efectividad de la intervención mediante el Método de Jacobson-Truax, evaluando los efectos de la intervención sobre los niveles del Engagement en el Trabajo, Apoyo Social Percibido, Esperanza Disposicional, Gratitud y Ansiedad. La intervención integró el Modelo teórico de Demandas y Recursos de Trabajo con la Teoría de Necesidades Psicológicas Básicas. Con un resultado de mayores niveles de Engagement en el Trabajo, lo que fortaleció los estados psicológicos positivos y tuvo un efecto reductor de la ansiedad durante la pandemia. Este estudio aporta contribuciones relevantes al desarrollo positivo en la protección de salud mental en trabajo. (AU)

AI Supporting AAC Pictographic Symbol Adaptations.

The phenomenal increase in technological capabilities that allow the design and training of systems to cope with the complexities of natural language and visual representation in order to develop other formats is remarkable. It has made it possible to make use of image to image and text to image technologies to support those with disabilities in ways not previously explored. It has opened the world of adaptations from one picture to another in a design style of a user's choosing. Automated text simplification alongside graphical symbol representations to enhance understanding of complex content is already being used to support those with cognitive impairments and learning difficulties. Symbol sets have become embedded within applications as dictionaries and look up systems, but the need for flexibility and personalization remains a challenge. Most pictographic symbols are created over time within the bounds of a certain style and schema for particular groups such as those who use augmentative and alternative forms of communication (AAC). By using generative artificial intelligence, it is proposed that symbols could be produced based on the style of those already used by an individual or adapted to suit different requirements within local contexts, cultures and communities. This paper explores these ideas at the start of a small six-month pilot study to adapt a number of open licensed symbols based on the symbol set's original style. Once a collection has been automatically developed from image to image and text descriptions, potential stakeholders will evaluate the outcomes using an online voting system. Successful symbols will be made available and could potentially be added to the original symbol set offering a flexible personalized approach to AAC symbol generation hitherto not experienced by users.

Memristor-based spiking neural network with online reinforcement learning.

Neural networks implemented in memristor-based hardware can provide fast and efficient in-memory computation, but traditional learning methods such as error back-propagation are hardly feasible in it. Spiking neural networks (SNNs) are highly promising in this regard, as their weights can be changed locally in a self-organized manner without the demand for high-precision changes calculated with the use of information almost from the entire network. This problem is rather relevant for solving control tasks with neural-network reinforcement learning methods, as those are highly sensitive to any source of stochasticity in a model initialization, training, or decision-making procedure. This paper presents an online reinforcement learning algorithm in which the change of connection weights is carried out after processing each environment state during interaction-with-environment data generation. Another novel feature of the algorithm is that it is applied to SNNs with memristor-based STDP-like learning rules. The plasticity functions are obtained from real memristors based on poly-p-xylylene and CoFeB-LiNbO3 nanocomposite, which were experimentally assembled and analyzed. The SNN is comprised of leaky integrate-and-fire neurons. Environmental states are encoded by the timings of input spikes, and the control action is decoded by the first spike. The proposed learning algorithm solves the Cart-Pole benchmark task successfully. This result could be the first step towards implementing a real-time agent learning procedure in a continuous-time environment that can be run on neuromorphic systems with memristive synapses.

Online Physician-Patient Interaction and Patient Satisfaction: Empirical Study of the Internet Hospital Service.

BACKGROUND: In China, a form of online health service called the internet hospital became a prominent means of patient care when face-to-face visits were not possible during the COVID-19 pandemic to minimize transmission of the SARS-CoV-2 virus. Patients' internet hospital experiences largely depend on online physician-patient interaction. Yet, little is known about how physicians can improve patient satisfaction by using specific communication strategies online. OBJECTIVE: This study aimed to identify specific communication strategies to help physicians deliver better quality internet hospital services. We also outline recommendations for hospitals to operate internet hospital platforms more effectively. METHODS: A longitudinal data set was collected from an internet hospital platform operated by a top hospital in China. By extracting communication patterns from approximately 20,000 records of online health care services and by controlling the features of service requests, we tested the impacts of response load, more detailed style, and emotional comfort on patient satisfaction. We further explored the effects of these communication patterns in different service contexts. RESULTS: Physicians with a low response load, a more detailed style, and expressions of emotional comfort received more positive patient feedback. Response load did not affect patient satisfaction with free online health service, whereas a more detailed style and emotional comfort enhanced satisfaction with free service. Response load significantly reduced patient satisfaction with paid online health service, while a more detailed style had no effect. Compared with free service, emotional comfort more strongly promoted patient satisfaction with paid service. CONCLUSIONS: The communication strategies identified can help physicians provide patients with a better internet hospital experience. These strategies require hospitals to schedule each physician's online service period more appropriately. In addition, tailoring the strategies to service situations can facilitate more targeted and effective internet hospital service for patients.

Pedi-R-MAPP | the development, testing, validation, and refinement of a digital nutrition awareness tool.

BACKGROUND & AIMS: The Remote Malnutrition Application (R-MAPP) was developed during the COVID-19 pandemic to provide support for health care professionals (HCPs) working in the community to complete remote nutritional assessments and provide practical guidance for nutritional care. R-MAPP was adapted into Pediatric Remote Malnutrition Application (Pedi-R-MAPP) using a modified Delphi consensus, with the goal of providing a structured approach to completing a nutrition focused assessment as part of a technology enabled care service (TECS) consultation. The aim of this study was to develop and validate a digital version of Pedi-R-MAPP using the IDEAS framework (Integrate, Design, Assess and Share). METHODS: A ten-step process was completed using the IDEAS framework. This involved the four concept processes; Stage-1, Integrate (Step 1-3) identify the problem, specify the goal, and use an evidence-based approach. Stage-2, (Step 4-7) design iteratively and rapidly with user feedback. Stage 3, (Step 8-9) Assess rigorously, and Stage 4 (Step 9-10) publish and launch of the tool. RESULTS: Stage 1:Evidence-based development, Pedi-R-MAPP was developed using Delphi consensus methodology. Stage 2:Iteration & design, HCPs (n = 22) from UK, Europe, South Africa, and North America were involved four workshops to further develop a paper prototype of the tool and complete small-scale testing of a beta version of the tool which resulted in eight iterations. Stage 3:Assess rigorously, Small scale retrospective testing of the tool on children with congenital heart disease (n = 80) was completed by a single researcher, with iterative changes made to improve agreement with summary advice. Large scale testing amongst (n = 745) children in different settings was completed by specialist paediatric dietitians (n = 15) advice who recorded agreement with the summary advice compared with their own clinical assessment. Paediatric dietitians were in overall agreement with the summary advice in the tool 86% (n = 640), compared to their own clinical practice. The main reasons for disagreement were i) frequency of planned review 57.1% (n = 60/105), ii) need for ongoing dietetic review due to chronic condition 20.0% (n = 21/105), iii) disagreement with recommendation for discharge 16.2% (n = 17/105) and iv) concerns with faltering growth and/or need for condition specific growth charts 6.7% (7/105). Iterative changes were made to the algorithm, leading to an improvement in agreement of the summary advice on re-evaluation to 98% (p=<0.0001). CONCLUSION: A digital version of the Pedi-R-MAPP nutrition awareness tool was developed using the IDEAS framework. The summary advice provided by the tool achieved a high level of agreement when compared to paediatric dietetic assessment, by providing a structured approach to completing a remote nutrition focused assessment, along with identifying the frequency of follow-up or an in-person assessment.

Novas Pontes na Escuta: Laços e Territórios Virtuais no Cuidado dos Migrantes e Refugiados / New Device of Therapeutic Listening: Virtual Bonds and Territories in the Care of Migrants / Nuevos Puentes en la Escucha: Vínculos y Territorios Virtuales en la Atención a Migrantes

experiência do Projeto Ponte no atendimento de grupos terapêuticos online mostra a potência deste dispositivo no atendimento aos migrantes; nosso projeto defronte à pandemia teve de se adaptar a novos parâmetros no atendimento virtual. Participamos de uma rede de serviços específica ao público migrante, essencial na pandemia de COVID-19, para o apoio e continuidade do trabalho. As referências do projeto são: o conceito de interculturalidade, o atendimento grupal no formato slow open, a língua portuguesa e a psicanálise de grupos e vínculos. Nos atendimentos clínicos com migrantes, consideramos os processos de ruptura da migração, a dupla pertença aos países de origem e destino, bem como a dificuldade de se instalar no país de destino, a estranheza da experiência e o lugar de estrangeiro que o migrante ocupa. Por isso adotamos o dispositivo grupal, onde o migrante encontra um lugar para a construção e elaboração da migração, bem como para estabelecer uma possível pertença.

The experience of Ponte Project in attending therapeutic groups online shows the power that this device provokes in attending migrants; this work with the arrival of the COVID-19 pandemic had to adapt to the new parameters of virtual therapy. We also participate in a network in the psychological consultation of the migrant public, essential for the continuity of the project's work. The theoretical framework of the project has always been based on: the concept of interculturality, a slow-open group, Portuguese language and Psychoanalysis with groups and bonds. In clinical sessions with the migrants we will consider the processes of rupture caused by migration, the double belonging, as well as the difficulty of settling in the country of destination, all the strangeness caused by this experience and also the place of foreigner that the migrant occupies. That is why we chose to work with groups, where the migrant finds a place to elaborate the effects of migration, in addition to establishing a possible place of belonging.

La experiencia del Proyecto Puente en la atención terapéutica grupal en línea muestra la potencia de este dispositivo en la atención a migrantes. Nuestro proyecto, frente a la pandemia, tuvo que adaptarse a los nuevos parámetros para la atención virtual. Participamos en una red de servicios específicos para el público migrante, esencial en la pandemia del COVID-19, para brindar apoyo y continuidad al trabajo. Las referencias del proyecto son: el concepto de interculturalidad, la atención grupal en el formato slow open, la lengua portuguesa, el psicoanálisis de grupo y los vínculos. En las sesiones clínicas con migrantes consideramos los procesos de ruptura de la migración, la doble pertenencia a los países de origen y destino, la dificultad de integración en el país de destino, la extrañeza de la experiencia y el lugar de extranjero que ocupa el migrante. Por eso adoptamos el dispositivo grupal, donde el migrante encuentra un lugar para la construcción y elaboración de la experiencia migratoria, permitiéndole así establecer una posible pertenencia.

Telepsychology: Clinical Utility of the Transdiagnostic Unified Protocol with University Students

This study examined the content validity and consumer satisfaction of a newly developed forensic interviewing protocol and accompanying barriers screen. Results suggest content experts rated the protocol as acceptable and that subjects rated the protocol slightly more favorably than the Forensic Experiential Trauma Interview. Further, although only a minority of subjects did not like the alternative hypotheses component, this component did not significantly decrease subjects’ favorable attitudes towards the protocol, suggesting that incorporating this element may not be as controversial as previously assumed. Last, providing resources to the victim via the barriers screen was rated favorably by participants, suggesting that this might be a useful tool to improve victim’s sense of support, overall satisfaction and possible willingness to pursue prosecution post-assault (AU)

Online recommenders' anthropomorphism improves user response to hedonic and benefit-based product appeals through the recommenders' perceived ability to learn.

Previous studies reveal the limited effectiveness of benefit-based and hedonic-based product recommendations provided by online recommenders, and recommender anthropomorphism is considered a remedy. This paper aims to investigate the positive effect of anthropomorphism by involving the online recommender's perceived ability to learn as a mediator. Based on schema congruity theory, perceived benefit/hedonic appeals appropriateness is considered a dependent variable. In Study 1, subtle anthropomorphic cues within an online recommender had a positive effect on perceived benefit-appeals appropriateness through the perceived ability to learn. Study 2 demonstrated the positive relationship between perceived anthropomorphism and perceived hedonic-appeal appropriateness, with the mediating role of the perceived ability to learn. The results advance the knowledge about consumer response to online recommenders from the perspective of anthropomorphism and schema congruity theory. Marketers and consumer organizations are advised on how to deal with online recommender systems providing benefit and hedonic appeals.