Web-based Version Research Articles

Comparing public health-related material in print and web page versions of legacy media.

The objectives of this study were to create a database of public health content from a sample of legacy media, and to compare the prevalence of public health themes in print and web-based versions over time. A database was created from eleven nationally published magazines as a sample of legacy media content. Relevant material was extracted and coded by the title of the article, periodical, print or web edition, month of publication, item type, and 1-3 public health theme codes. Theme codes emerged as the documents were reviewed based on the primary discussion in each piece. A total of 2558 unique documents were extracted from print issues and 6440 from web-based issues. Seventeen public health themes were identified. Individual coded documents were saved with file names identical to the code string, thus creating a searchable database. Legacy media are those that existed before the internet and social media. Publishers target readership groups defined by age, gender, race, sexual orientation, and other commonalities. Although legacy media have been identified as trusted sources of health information, they have not been examined as sources of public health communication. Because both print and web-based versions exist as unstructured textual data, these are rarely examined with informatics methods. The process described can serve as a model for application of informatics approaches to similar data and assist development of targeted public health communications. Having a better understanding of what types of health content is distributed through legacy media can help to target health messages to specific demographic and interest groups in ways that are understandable and appealing to them.

Change processes associated with functional improvement in a web-based version of Skills Training in Affective and Interpersonal Regulation (webSTAIR) for trauma-exposed veterans.

In spite of the evidence that both symptom reduction and functional improvement are important for supporting recovery from trauma, psychotherapy process research has largely focused on mechanisms of symptom reduction. A better understanding of how change occurs in treatments that emphasize functional improvement rather than trauma processing is critical for optimizing effective, patient-centered care. This study involved secondary analysis of data collected in three multisite trials of a 10-module web-based version of Skills Training in Affective and Interpersonal Regulation, a skills-focused transdiagnostic intervention. The sample included 314 trauma-exposed veterans (38% male; 64% non-Hispanic White) who screened positive for elevated symptoms of posttraumatic stress disorder and/or depression. Latent change score modeling examined prospective relationships between changes from pre-to-mid and mid-to-post treatment in four potential mechanisms (emotion regulation, interpersonal problems, posttraumatic stress disorder symptoms, and depression symptoms) and the association of these changes with overall functional improvement (at posttreatment and follow-up). Emotion regulation change during the first half of treatment predicted interpersonal and symptom improvements during the second half of treatment, but not vice versa. Changes in each potential mechanism were uniquely associated with functional improvement and together statistically accounted for 78% additional variance in functional improvement beyond what was associated with baseline functioning and covariates. Results support emotion regulation as an early mechanism of transdiagnostic therapeutic change in web-based version of Skills Training in Affective and Interpersonal Regulation and highlight the relevance of all four potential mechanisms to functional improvement. The study contributes to an understanding of how change occurs in skills-focused interventions for trauma-exposed individuals. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Is a web-based Thai version of the work-related quality of work-life scale-2 a reasonable alternative to the paper-based version?

ABSTRACT This study investigates the suitability of a Thai web-based assessment tool for comprehensively evaluating the Work-Related Quality of Life (WRQoL). A descriptive study was conducted. The web-based questionnaire was distributed to health workers at the University Hospital of the Faculty of Medicine at Khon Kaen University, Khon Kaen, Thailand, via convenience sampling, yielding 290 usable responses after data cleaning. IBM SPSS and AMOS performed Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA). The results revealed enhanced internal consistency upon excluding 1 item (Q24) and delineated dimensions into 5 categories: homework interface and working conditions web-based (HWCW), web-based job and career satisfaction (JCSW), web-based general well-being (GWBW), web-based control at work (CAWW), and web-based stress at work (SAWW). This web-based assessment tool has potential advantages in technological convenience and interpretation accuracy. It offers a robust framework for assessing WRQoL dimensions and advancing workplace well-being assessment methodologies.

Development, assessment and validation of a novel nomogram model for predicting stroke mimics in stroke center：A single-center observational study

BackgroundEarly recognition and prediction of stroke mimics (SM) can avoid inappropriate recanalization therapy and delay in the management of SM etiology. The purpose of this study is to screen the predictors for SM and develop a novel predictive nomogram model for predicting SM. Meanwhile, the diagnostic performance of the nomogram model was evaluated and validated. The diagnostic efficacy of the nomogram model was also compared with four other SM structured scales. MethodsThe clinical data of eligible patients were retrospectively enrolled as training datasets from January 2020 to December 2021; and the clinical data of eligible patients were prospectively enrolled as validation datasets from February to December 2022 in stroke center, Shengjing hospital, respectively. Univariate analysis and Lasso regression were used to select the optimal predictors for the training set, and a nomogram model was constructed by multivariate logistics regression, predictive scoring based on nomogram model is performed for each subject suffering from suspected acute ischemic stroke. Area under the curve (AUC), Hosmer-Lemeshow goodness-of-fit test, Calibration curve, decision curve analysis (DCA), clinical impact curve (CIC) analysis and bootstrap sampling were performed to assess and validate the predictive performance and clinical utility of the nomogram model, and the DeLong test was used to compare the overall diagnostic performance of the nomogram model with the other four structured SM scales. The Delong test was also conducted to assess the external reliability of the SM nomogram model by comparing the predictive diagnostic performance of the validation set with the training set. Additionally, the Calibration curve was utilized to evaluate the diagnostic calibration capability of the SM nomogram model in the validation set. Results703 eligible patients (68 with SM, accounting for 9.7 %) were assigned to the training set, while 301 patients (26 with SM, accounting for 8.6 %) were assigned to the validation set. A nomogram model was then developed using these six parameters (SBP, history of epilepsy, isolated dizziness, isolated sensory impairment, headache, and absence of speech impairment symptoms), a dynamic web-based version of the nomogram was subsequently created. Comparing with four other scales, the nomogram model showed the highest overall diagnostic performance (AUC = 0.929, 95%CI = 0.908–0.947). The Hosmer-Lemeshow goodness-of-fit test was conducted to assess the agreement between the predicted SM values from the model and the observed SM values. The results of the test indicated a favorable consistency (χ2 = 9.299, P = 0.3177) between the predicted and observed SM. The results obtained from the analysis of the Calibration curve, DCA curve, and CIC analysis suggested that the nomogram possesses a favorable predictive capacity and superior clinical usefulness. Furthermore, the external validation demonstrated that there is no significant difference in the overall predictive diagnostic performance between the validation set and training set (0.929 vs 0.910, P > 0.05), thereby confirming the favorable stability of the nomogram model. ConclusionOur study firstly proposed a nomogram prediction approach based on the clinical features of SM, which could effectively predict the occurrence of SM. The utilization of the nomogram in stroke center proves advantageous for the identification and evaluation of SM, thereby enhancing diagnostic decision-making and strategies employed for suspected acute stroke patients.

DTVF: A User-Friendly Tool for Virulence Factor Prediction Based on ProtT5 and Deep Transfer Learning Models.

Virulencefactors (VFs) are key molecules that enable pathogens to evade the immune systems of the host. These factors are crucial for revealing the pathogenic processes of microbes and drug discovery. Identification of virulence factors in microbes become an important problem in the field of bioinformatics. To address this problem, this study proposes a novel model DTVF (Deep Transfer Learning for Virulence Factor Prediction), which integrates the ProtT5 protein sequence extraction model with a dual-channel deep learning model. In the dual-channel deep learning model, we innovatively integrate long short-term memory (LSTM) with convolutional neural networks (CNNs), creating a novel integrated architecture. Furthermore, by incorporating the attention mechanism, the accuracy of VF detection was significantly enhanced. We evaluated the DTVF model against other excellent-performing models in the field. DTVF demonstrates superior performance, achieving an accuracy rate of 84.55% and an AUROC of 92.08% on the benchmark dataset. DTVF shows state-of-the-art performance in this field, surpassing the existing models in nearly all metrics. To facilitate the use of biologists, we have also developed an interactive web-based user interface version of DTVF based on Gradio.

The SoCAP (Social Communication, Affiliation, and Presence) Taxonomy of Social Features: Scoping Review of Commercially Available eHealth Apps.

eHealth interventions have proven to be valuable resources for users with diverse mental and behavioral health concerns. As these technologies continue to proliferate, both academic researchers and commercial app creators are leveraging the use of features that foster a sense of social connection on these digital platforms. Yet, the literature often insufficiently represents the functionality of these key social features, resulting in a lack of understanding of how they are being implemented. This study aimed to conduct a methodical review of commercially available eHealth apps to establish the SoCAP (social communication, affiliation, and presence) taxonomy of social features in eHealth apps. Our goal was to examine what types of social features are being used in eHealth apps and how they are implemented. A scoping review of commercially available eHealth apps was conducted to develop a taxonomy of social features. First, a shortlist of the 20 highest-rated eHealth apps was derived from One Mind PsyberGuide, a nonprofit organization with trained researchers who rate apps based on their (1) credibility, (2) user experience, and (3) transparency. Next, both mobile- and web-based versions of each app were double-coded by 2 trained raters to derive a list of social features. Subsequently, the social features were organized by category and tested on other apps to ensure their completeness. Four main categories of social features emerged: (1) communication features (videoconferencing, discussion boards, etc), (2) social presence features (chatbots, reminders, etc), (3) affiliation and identity features (avatars, profiles, etc), and (4) other social integrations (social network and other app integrations). Our review shows that eHealth apps frequently use resource-intensive interactions (eg, videoconferencing with a clinician and phone calls from a facilitator), which may be helpful for participants with high support needs. Furthermore, among commercially available eHealth apps, there is a strong reliance on automated features (eg, avatars, personalized multimedia, and tailored content) that enhance a sense of social presence without requiring a high level of input from a clinician or staff member. The SoCAP taxonomy includes a comprehensive list of social features and brief descriptions of how these features work. This classification system will provide academic and commercial eHealth app creators with an understanding of the various social features that are commonly implemented, which will allow them to apply these features to enhance their own apps. Future research may include comparing the synergistic effects of various combinations of these social features.

On-demand car servicing application

The majority of people, in our today’s fast-paced world, find it difficult to book a suitable date and time for their vehicle to be serviced/repaired that fits their overly tight schedule. Keeping in mind that in order to get their vehicle repaired, the client has no other option but to bring their vehicle to the mechanic on their own and figure out how to pass the time. They may either wait till their car is repaired or return home or to work whilst also determining their travel choices. Exactly these issues generally postpone regular car servicing, which may lead to an increase of unmaintained vehicles on the road, causing additional traffic problems e.g., car accidents. The aim is to build such an application which will provide car owners with a convenient, time-saving and personalized car servicing experience, aiding them in preserving the quality and longevity of their cars. The application eliminates the necessity for customers to drive their vehicles to a certain location by enabling them to arrange a service that is suitable for them. The application will assist service providers in improving their customer service through two software versions. The first is a web-based version for administrators, allowing them to manage bookings and add or delete services. The second version is a mobile application reserved specifically for the mechanics where they can access their assigned services and communicate with customers by sending requests for additional recommended services for their approval. Overall, the application provides a comprehensive approach to car maintenance which allows the customers and the service providers to have a systematic view of the issues at hand as well as a technological enhancement of services that ensure value to the users.

Implementation of a Parent Training Program During Community-Based Dissemination (From In-Person to Hybrid): Mixed Methods Evaluation.

Parent training interventions support and strengthen parenting practices and parent-child relationships and improve child behavior. Between March 2018 and February 2020, a community-based parenting program conducted 38 in-person Chicago Parent Program (CPP) groups. In response to the COVID-19 pandemic, we modified the delivery of the in-person CPP to hybrid delivery using the self-administered, web-based version of the CPP (ezParent) paired with web-based, videoconferenced group sessions. This study aims to describe the delivery transition and implementation outcomes of the hybrid delivery of the CPP (ezParent+group) during community-based dissemination. This single-group, mixed methods retrospective evaluation examined the implementation outcomes using the RE-AIM (Reach, Efficacy, Adoption, Implementation, and Maintenance) framework. We report on data from hybrid ezParent delivery between September 2020 and August 2022. Parents completed pre- and postprogram surveys that included motivation to participate and perceived changes in parent-child behavior. Digital analytics captured ezParent completion. Facilitators completed fidelity assessments and participated in postintervention interviews. In total, 24 hybrid ezParent groups (n=240 parents) were delivered by 13 CPP-trained facilitators. Parents reported high levels of satisfaction with the program and improvements in their feelings of parenting self-efficacy and their child's behavior following their participation in hybrid ezParent. On average, parents completed 4.58 (SD 2.43) 6 ezParent modules. The average group attendance across the 4 sessions was 71.2%. Facilitators found the hybrid delivery easy to implement and reported high parent engagement and understanding of CPP strategies. Using the hybrid ezParent intervention is a feasible and effective way to engage parents. Lessons learned included the importance of academic and community-based organization partnerships for delivering and evaluating robust programs. Implementation facilitators and barriers and future research recommendations are discussed.

New IPECAD open-source model framework for the health technology assessment of early Alzheimer’s disease treatment: development and use cases

Reimbursement decisions for new Alzheimer's disease (AD) treatments are informed by economic evaluations. An open-source model with intuitive structure for model cross-validation can support the transparency and credibility of such evaluations. We describe the new International Pharmaco-Economic Collaboration on Alzheimer's Disease (IPECAD) open-source model framework (version 2) for the health-economic evaluation of early AD treatment and use it for cross-validation and addressing uncertainty. A cohort state-transition model using a categorized composite domain (cognition and function) was developed by replicating an existing reference model and testing it for internal validity. Then, features of existing Institute for Clinical and Economic Review (ICER) and Alzheimer's Disease Archimedes Condition-Event Simulator (AD-ACE) models assessing lecanemab treatment were implemented for model cross-validation. Additional uncertainty scenarios were performed on choice of efficacy outcome from trial, natural disease progression, treatment effect waning and stopping rules, and other methodological choices. The model is available open-source as R code, spreadsheet, and web-based version via https://github.com/ronhandels/IPECAD. In the IPECAD model incremental life-years, quality-adjusted life-years (QALY) gains and cost savings were 21% to 31% smaller compared with the ICER model and 36% to 56% smaller compared with the AD-ACE model. IPECAD model results were particularly sensitive to assumptions on treatment effect waning and stopping rules and choice of efficacy outcome from trial. We demonstrated the ability of a new IPECAD open-source model framework for researchers and decision makers to cross-validate other (Health Technology Assessment submission) models and perform additional uncertainty analyses, setting an example for open science in AD decision modeling and supporting important reimbursement decisions.

START NOW WebApp—promoting emotion regulation and resilience in residential youth care and correctional institutions: study protocol for a cluster randomized controlled trial

BackgroundAdolescents and young adults in residential care and correctional institutions face various challenges, leading to negative life outcomes. Implementation barriers within these institutions, such as limited financial and spatial resources, pose significant hurdles to providing necessary support. Web-based approaches address these challenges by offering cost-effective, accessible solutions. This study aims to assess the efficacy of a newly developed web-based version of the existing evidence-based START NOW skills training in fostering emotion regulation and resilience among institutionalized adolescents and young adults. We present the study protocol (Version 5, August 2023) of the trial titled “Implementation of an e-version of the skills training START NOW for promoting emotion regulation and resilience in residential youth care and correctional institutions”.MethodsThe study is a monocentric, prospective, confirmatory randomized controlled trial with 150 institutionalized adolescents and young adults with a need to improve resilience (predefined cut-offs). Participating institutions will be randomized to one of three conditions: (i) 9-week web-based group training guided by a facilitator, (ii) 9-week web-based self-help training, (iii) and treatment as usual. The primary endpoint is the change in psychological flexibility, assessed by the Avoidance and Fusion Questionnaire for Youth score, from baseline to follow-up 12 weeks post skills training. Secondary objectives encompass assessing pre-post changes in psychological flexibility and other psychological health-related outcome measures in participating adolescents, young adults, and caretakers from baseline, to post training, and to 12- and 24-week follow-ups.DiscussionThis study evaluates the efficacy of START NOW as web-based training for institutionalized adolescents and young adults, providing valuable insights into web-based interventions and aiming to optimize support levels.Trial registration {2a and 2b}ClinicalTrials.gov NCT05313581. Registered on 6 April 2022.

Efficacy and safety of chimeric antigen receptor T-cell (CAR-T) therapy in hematologic malignancies: a living systematic review (protocol).

To determine the efficacy and safety of CAR-T therapy in the treatment of patients with hematologic malignancies, in comparison with other current therapies. A living systematic review. We will include randomized trials evaluating the effect of CAR-T therapy versus other active treatments, hematopoietic stem cell transplantation, best supportive care or any other intervention in patients with hematologic malignancies. Non-randomized primary studies will be searched in case we found no direct evidence from randomized controlled trials. Two reviewers will independently screen each study for eligibility, extract data, and assess the risk of bias. Efficacy measures will include overall survival rate, overall response rate, complete response/remission (CR) rate, partial response/remission (PR) rate, relapse from CR, progression-free survival, and time from CAR-T infusion to transplantation. Safety measures will include serious adverse events, the incidence of cytokine release syndrome, graft-versus-host disease, neurotoxicity, and total adverse events. Quality of life will also be assessed. Meta-analyses will be carried out to summarize the results. We will apply the GRADE approach to assess the certainty of the evidence for each outcome. A living, web-based version of this review will be openly available until there is solid evidence to respond to the review objective. We will resubmit it for publication every time the conclusions change or whenever there are substantial updates.

Marathi to Indian Sign Language Machine Translation

Machine translation has been a prominent field of research, contributing significantly to human life enhancement. Sign language machine translation, a subfield, focuses on translating spoken language content into sign language and vice versa, thereby facilitating communication between the normal hearing and hard-of-hearing communities, promoting inclusivity. This study presents the development of a ‘sign language machine translation system’ converting simple Marathi sentences into Indian Sign Language (ISL) glosses and animation. Given the low-resource nature of both languages, a phrase-level rule-based approach was employed for the translation. Initial encoding of translation rules relied on basic linguistic knowledge of Marathi and ISL, with subsequent incorporation of rules to address 'simultaneous morphological' features in ISL. These rules were applied during the ‘generation phase’ of translation to dynamically adjust phonological sign parameters, resulting in improved target sentence fluency. The paper provides a detailed description of the system architecture, translation rules, and comprehensive experimentation. Rigorous evaluation efforts were undertaken, encompassing various linguistic features, and the findings are discussed herein. The web-based version of the system serves as an interpreter for brief communications and can support the teaching and learning of sign language and its grammar in schools for hard-of-hearing students.

Xiaoqing: A Q&A model for glaucoma based on LLMs

Glaucoma is one of the leading cause of blindness worldwide. Individuals affected by glaucoma, including patients and their family members, frequently encounter a deficit in dependable support beyond the confines of clinical environments. Seeking advice via the internet can be a difficult task due to the vast amount of disorganized and unstructured material available on these sites, nevertheless. This research explores how Large Language Models (LLMs) can be leveraged to better serve medical research and benefit glaucoma patients. We introduce Xiaoqing, a Natural Language Processing (NLP) model specifically tailored for the glaucoma field, detailing its development and deployment. To evaluate its effectiveness, we conducted two forms of experiments: comparative and experiential. In the comparative analysis, we presented 22 glaucoma-related questions in simplified Chinese to three medical NLP models (Xiaoqing LLMs, HuaTuo, Ivy GPT) and two general models (ChatGPT-3.5 and ChatGPT-4), covering a range of topics from basic glaucoma knowledge to treatment, surgery, research, management standards, and patient lifestyle. Responses were assessed for informativeness and readability. The experiential experiment involved glaucoma patients and non-patients interacting with Xiaoqing, collecting and analyzing their questions and feedback on the same criteria. The findings demonstrated that Xiaoqing notably outperformed the other models in terms of informativeness and readability, suggesting that Xiaoqing is a significant advancement in the management and treatment of glaucoma in China. We also provide a Web-based version of Xiaoqing, allowing readers to directly experience its functionality. The Web-based Xiaoqing is available at https://qa.glaucoma-assistant.com//qa.

187 Translating for Impact: a free online toolkit for demonstrating the larger impact of your work

OBJECTIVES/GOALS: The Translational Science Benefits Model offers an approach for evaluating the downstream health and social impact of research. Using the new Translating for Impact Toolkit of nine web-based tools, researchers can create free, secure accounts to plan, track, and demonstrate the impact of their work. METHODS/STUDY POPULATION: Development of the online toolkit includes 6 phases: 1) Review of existing tools, 2) Development of fillable PDF tool prototypes, 3) Pilot testing, 4) Development of web-based tools, 5) Usability testing, and 6) Refinement of web-based tools. First, we reviewed existing tools for measuring research impact. We then created prototypes of nine tools, published on the TSBM website, and pilot tested with researchers. Based on feedback and testing, we developed and launched web-based versions of the tools. We are currently conducting usability testing with researchers, which we will use to evaluate the ease-of-use and quality of the tools, identify areas for improvement, and refine the tools. RESULTS/ANTICIPATED RESULTS: Researchers can sign up for user accounts, create projects, invite collaborators and program administrators, and save progress as the complete the nine tools in the Translating for Impact Toolkit. The tools are divided into three steps: Plan (Roadmap to Impact, Benefits 2x2, Partner Mapper, and Team Manager), Track (Impact Tracker), and Demonstrate (Product Navigator, Case Study Builder, Impact Profile, and Dissemination Planner). The toolkit also includes a dashboard that provides a quick snapshot of translational impact for each project. The toolkit will help both individual translational scientists demonstrate the impact of their work and CTSA hubs evaluate impact of their projects. DISCUSSION/SIGNIFICANCE: The TSBM online toolkit is a free, secure, easy-to-use platform researchers can use to plan for, track, and demonstrate the impacts of their work. The toolkit provides a structured process that will help the next generation of scientists prioritize and promote translational impact in their work.

Exploring the future: introduction of a new paradigm to examine intergroup experiences

Intergroup contact theory, as one of the most established research strands in social psychology, has mostly relied on overall measured averages of intergroup contact over larger time spans. Yet, in everyday life, intergroup contact experiences are far more complex: they are sequential and cumulative and may vary on a range of dimensions, such as, for example, their perceived valence. In this article, I introduce a new experimental paradigm, primarily developed as a research manipulation, to examine intergroup contact, manipulated on the unit of single interactions in a video-game setting, which can also be run from a web server, so that participants can join from their home computers. Depending on experimental condition, in a first study, participants rated the perceived quality of multiple positive or negative intergroup interactions with an alien species and intergroup attitudes in a storytelling questionnaire setting (Pilot Study, N = 242). Study 1 implemented these positive and negative interactions in a video game, which was played in the laboratory (N = 44), and examined their effects on the perceived contact quality and intergroup attitudes. Study 2 (N = 64) utilized a web-based version of the video game to test the effects on intergroup attitudes. In all three studies participants in the positive condition evaluated the interactions, as well as the overall outgroup, more positive than participants in the negative condition. Furthermore, Study 1 and 2 explored participants' perception of the virtual environment and previous experiences with video games. The results suggest that specifically developed video games offer new pathways to study intergroup interactions.

A Web-Based Tool to Assess Social Inclusion and Support Care Planning in Mental Health Supported Accommodation: Development and Preliminary Test Study.

Individuals with severe mental illness living in supported accommodation are often socially excluded. Social inclusion is an important aspect of recovery-based practice and quality of life. The Social Inclusion Questionnaire User Experience (SInQUE) is a measure of social inclusion that has been validated for use with people with mental health problems. Previous research has suggested that the SInQUE could also help support care planning focused on enabling social inclusion in routine mental health practice. This study aims to develop a web-based version of the SInQUE for use in mental health supported accommodation services, examine its acceptability and perceived usefulness as a tool to support care planning with service users, determine the extent of uptake of the tool in supported accommodation settings, and develop a program theory and logic model for the online SInQUE. This study involved a laboratory-testing stage to assess the acceptability of the SInQUE tool through "think-aloud" testing with 6 supported accommodation staff members and a field-testing stage to assess the acceptability, utility, and use of the SInQUE tool over a 5-month period. An implementation strategy was used in 1 London borough to encourage the use of the SInQUE. Qualitative interviews with 12 service users and 12 staff members who used the tool were conducted and analyzed using thematic analysis. The use of the SInQUE was compared with that in 2 other local authority areas, 1 urban and 1 rural, where the tool was made available for use but no implementation strategy was used. Overall, 17 staff members used the SInQUE with 28 different service users during the implementation period (approximately 10% of all service users living in supported accommodation in the study area). The staff and service users interviewed felt that the SInQUE was collaborative, comprehensive, user-friendly, and relevant. Although some staff were concerned that particular questions might be too personal, service users did not echo this view. Participants generally felt that the SInQUE could help identify individuals' priorities regarding different aspects of social inclusion by prompting in-depth conversations and tailoring specific support to address service users' inclusion goals. Some interviewees also suggested that the tool could highlight areas of unmet or unmeetable needs across the borough that could feed into service planning. The SInQUE was not used in the comparison areas that had no implementation strategy. The online SInQUE is an acceptable and potentially useful tool that can be recommended to assess and support care planning to enable social inclusion of people living in mental health supported accommodation services. Despite this, uptake rates were modest during the study period. A concerted implementation strategy is key to embedding its use in usual care, including proactive endorsement by senior leaders and service managers.

A Pediatric-Focused Self-Assessment Tool on Vulnerabilities to Aid Regional Disaster Planning.

A significant number of disaster and emergency victims are children. Yet, many hospitals are ill-prepared to care for these patients during disasters, as identified by the National Pediatric Readiness Project's survey of hospital pediatric disaster plans. The Region V for Kids Center of Excellence created a self-assessment tool to help regions identify vulnerabilities and ways to enhance care for vulnerable children and families. Region V for Kids identified 9 key domains (eg, infrastructures and support mechanisms) that are important to safeguard children's and families' care during disasters. A self-assessment tool to assess these domains was distributed to 24 regional health care coalitions along with a 9-question usefulness survey. The self-assessment tool addressed 3 of the original domains, which have regional or national open-source databases and datapoints that health care coalitions can access for their responses. The survey received a 50% response rate. Approximately 40% of respondents indicated they were "somewhat likely" to make changes based on data gathered by the tool. The original self-assessment tool was revised to create an expanded web-based version. Health care coalitions and localities can use this tool to evaluate pediatric preparedness, identify needed improvements, and improve outcomes for children, families, and communities.

The development and validation of a digital biomarker for remote assessment of Alzheimer's diseases risk.

Digital cognitive assessment is becoming increasingly widespread in ageing research and care, especially since the COVID-19 pandemic. Remote online collection provides opportunities for ageing and dementia professionals to collect larger datasets, increase the diversity of research participants and patients and offer cost-effective screening and monitoring methods for clinical practice and trials. However, the reliability of self-administered at-home tests compared to their lab-based counterparts often goes unexamined, compromising the validity of adopting such measures. Our aim is to validate a self-administered web-based version of the visual short-term memory binding task (VSTMBT), a potential digital biomarker sensitive to Alzheimer's disease processes, suitable for use on personal devices. A final cross-sectional sample of 37 older-adult (51-77 years) participants without dementia completed our novel self-administered version of the VSTMBT, both at home on a personal device and in the lab, under researcher-controlled conditions. ANOVA and Bayesian t-test found no significant differences between the task when it was remotely self-administered by participants at home compared to when it was taken under controlled lab conditions. These results indicate the VSTMBT can provide reliable data when self-administered at-home using an online version of the task and on a personal device. This finding has important implications for remote screening and monitoring practices of older adults, as well as supporting clinical practices serving diverse patient communities. Future work will assess remote administration in older adults with cognitive impairment and diverse socio-economic and ethno-cultural backgrounds as well as a bench-to-bedside application.

Supplemental Material for Change Processes Associated With Functional Improvement in a Web-Based Version of Skills Training in Affective and Interpersonal Regulation (webSTAIR) for Trauma-Exposed Veterans

Supplemental Material for Change Processes Associated With Functional Improvement in a Web-Based Version of Skills Training in Affective and Interpersonal Regulation (webSTAIR) for Trauma-Exposed Veterans

A validation study comparing energy and nutrient intake between a web-based food frequency questionnaire and a 4-d dietary record

ObjectiveReliable assessments of dietary intake is crucial when examining associations between dietary factors and different outcomes. Today, web-based instead of paper-based food frequency questionnaires (FFQs) are common. A web-based FFQ implies a different experience (including design differences, the possibility only to show relevant questions, and automatic checks for completeness) and may capture dietary intake differently. The aim of this study was to validate a well-used paper-based FFQ transferred to a web-based version against a 4-d dietary record. MethodsBaseline data from a dietary intervention study comprising women and men with type 2 diabetes were used. Diet was assessed with the web-based FFQ and a 4-d dietary record. Energy intake and energy-adjusted nutrient intakes were assessed and compared using Spearman's rank correlation and Bland–Altman analysis. The analysis included 101 participants. ResultsThe average energy intake with the FFQ was 2068 kcal, 157 kcal higher than the average from the dietary record. Significant deattenuated correlations were found for intake of energy (r = 0.37; 95% confidence interval [CI],0.19–0.53), carbohydrates (r = 0.85; 95% CI, 0.78–0.89), protein (r = 0.53; 95% CI, 0.38–0.66) and fat (r = 0.59; 95% CI, 0.44–0.70). Significant deattenuated correlations (ranging r = 0.26–0.73) were found for intake of alcohol, whole grain, fiber, saturated fat, monounsaturated fat, polyunsaturated fat, cholesterol, vitamins A, B12, C, D, and E, folate, iron, potassium, magnesium, and calcium. Bland–Altman analyses showed no clear trends but wide limits of agreement. ConclusionOverall, the web-based FFQ performed well and is similar to the paper-based version. It can be a useful tool for dietary assessments.