Evaluating the Usability and Quality of a Clinical Mobile App for Assisting Physicians in Head Computed Tomography Scan Ordering: Mixed Methods Study.

BACKGROUND: Among the numerous factors contributing to health care providers' engagement with mobile apps, including user characteristics (eg, dexterity, anatomy, and attitude) and mobile features (eg, screen and button size), usability and quality of apps have been introduced as the most influential factors. OBJECTIVE: This study aims to investigate the usability and quality of the Head Computed Tomography Scan Appropriateness Criteria (HAC) mobile app for physicians' computed tomography scan ordering. METHODS: Our study design was primarily based on methodological triangulation by using mixed methods research involving quantitative and qualitative think-aloud usability testing, quantitative analysis of the Mobile Apps Rating Scale (MARS) for quality assessment, and debriefing across 3 phases. In total, 16 medical interns participated in quality assessment and testing usability characteristics, including efficiency, effectiveness, learnability, errors, and satisfaction with the HAC app. RESULTS: The efficiency and effectiveness of the HAC app were deemed satisfactory, with ratings of 97.8% and 96.9%, respectively. MARS assessment scale indicated the overall favorable quality score of the HAC app (82 out of 100). Scoring 4 MARS subscales, Information (73.37 out of 100) and Engagement (73.48 out of 100) had the lowest scores, while Aesthetics had the highest score (87.86 out of 100). Analysis of the items in each MARS subscale revealed that in the Engagement subscale, the lowest score of the HAC app was "customization" (63.6 out of 100). In the Functionality subscale, the HAC app's lowest value was "performance" (67.4 out of 100). Qualitative think-aloud usability testing of the HAC app found notable usability issues grouped into 8 main categories: lack of finger-friendly touch targets, poor search capabilities, input problems, inefficient data presentation and information control, unclear control and confirmation, lack of predictive capabilities, poor assistance and support, and unclear navigation logic. CONCLUSIONS: Evaluating the quality and usability of mobile apps using a mixed methods approach provides valuable information about their functionality and disadvantages. It is highly recommended to embrace a more holistic and mixed methods strategy when evaluating mobile apps, because results from a single method imperfectly reflect trustworthy and reliable information regarding the usability and quality of apps.

Optimizing Technology-Based Prompts for Supporting People Living With Dementia in Completing Activities of Daily Living at Home: Experimental Approach to Prompt Modality, Task Breakdown, and Attentional Support.

BACKGROUND: Assistive technology is becoming increasingly accessible and affordable for supporting people with dementia and their care partners living at home, with strong potential for technology-based prompting to assist with initiation and tracking of complex, multistep activities of daily living. However, there is limited direct comparison of different prompt features to guide optimal technology design. OBJECTIVE: Across 3 experiments, we investigated the features of tablet-based prompts that best support people with dementia to complete activities of daily living at home, measuring prompt effectiveness and gaining feedback from people with dementia and their care partners about their experiences. METHODS: Across experiments, we developed a specialized iPad app to enable data collection with people with dementia at home over an extended experimental period. In experiment 1, we varied the prompts in a 3 (visual type: text instruction, iconic image, and photographic image) × 3 (audio type: no sound, symbolic sound, and verbal instruction) experimental design using repeated measures across multiple testing sessions involving single-step activities. In experiment 2, we tested the most effective prompt breakdown for complex multistep tasks comparing 3 conditions (1-prompt, 3-prompt, and 7-prompt conditions). In experiment 3, we compared initiation and maintenance alerts that involved either an auditory tone or an auditory tone combined with a verbal instruction. Throughout, we asked people with dementia and their care partners to reflect on the usefulness of prompting technology in their everyday lives and what could be developed to better meet their needs. RESULTS: First, our results showed that audible verbal instructions were more useful for task completion than either tone-based or visual prompts. Second, a more granular breakdown of tasks was generally more useful and increased independent use, but this varied across individuals. Third, while a voice or text maintenance alert enabled people with dementia to persist with a multistep task for longer when it was more frequent, task initiation still frequently required support from a care partner. CONCLUSIONS: These findings can help inform developers of assistive technology about the design features that promote the usefulness of home prompting systems for people with dementia as well as the preferences and insights of people with dementia and their care partners regarding assistive technology design.

A/B Testing of User Enrollment Forms to Enhance Diversity in the Biomedical Workforce via the National Research Mentoring Network: User-Centered Design Case Study.

Background: The National Research Mentoring Network (NRMN) is a National Institutes of Health-funded program for diversifying the science, technology, engineering, math, and medicine research workforce through the provision of mentoring, networking, and professional development resources. The NRMN provides mentoring resources to members through its online platform-MyNRMN. Objective: MyNRMN helps members build a network of mentors. Our goal was to expand enrollment and mentoring connections, especially among those who have been historically underrepresented in biomedical training and the biomedical workforce. Methods: To improve the ease of enrollment, we implemented the split testing of iterations of our user interface for platform registration. To increase mentoring connections, we developed multiple features that facilitate connecting via different pathways. Results: Our improved user interface yielded significantly higher rates of completed registrations (P<.001). Our analysis showed improvement in completed enrollments that used the version 1 form when compared to those that used the legacy form (odds ratio 1.52, 95% CI 1.30-1.78). The version 2 form, with its simplified, 1-step process and fewer required fields, outperformed the legacy form (odds ratio 2.18, 95% CI 1.90-2.50). By improving the enrollment form, the rate of MyNRMN enrollment completion increased from 57.3% (784/1368) with the legacy form to 74.5% (2016/2706) with the version 2 form. Our newly developed features delivered an increase in connections between members. Conclusions: Our technical efforts expanded MyNRMN's membership base and increased connections between members. Other platform development teams can learn from these efforts to increase enrollment among underrepresented groups and foster continuing, successful engagement.

Roles, Users, Benefits, and Limitations of Chatbots in Health Care: Rapid Review.

BACKGROUND: Chatbots, or conversational agents, have emerged as significant tools in health care, driven by advancements in artificial intelligence and digital technology. These programs are designed to simulate human conversations, addressing various health care needs. However, no comprehensive synthesis of health care chatbots' roles, users, benefits, and limitations is available to inform future research and application in the field. OBJECTIVE: This review aims to describe health care chatbots' characteristics, focusing on their diverse roles in the health care pathway, user groups, benefits, and limitations. METHODS: A rapid review of published literature from 2017 to 2023 was performed with a search strategy developed in collaboration with a health sciences librarian and implemented in the MEDLINE and Embase databases. Primary research studies reporting on chatbot roles or benefits in health care were included. Two reviewers dual-screened the search results. Extracted data on chatbot roles, users, benefits, and limitations were subjected to content analysis. RESULTS: The review categorized chatbot roles into 2 themes: delivery of remote health services, including patient support, care management, education, skills building, and health behavior promotion, and provision of administrative assistance to health care providers. User groups spanned across patients with chronic conditions as well as patients with cancer; individuals focused on lifestyle improvements; and various demographic groups such as women, families, and older adults. Professionals and students in health care also emerged as significant users, alongside groups seeking mental health support, behavioral change, and educational enhancement. The benefits of health care chatbots were also classified into 2 themes: improvement of health care quality and efficiency and cost-effectiveness in health care delivery. The identified limitations encompassed ethical challenges, medicolegal and safety concerns, technical difficulties, user experience issues, and societal and economic impacts. CONCLUSIONS: Health care chatbots offer a wide spectrum of applications, potentially impacting various aspects of health care. While they are promising tools for improving health care efficiency and quality, their integration into the health care system must be approached with consideration of their limitations to ensure optimal, safe, and equitable use.

Therapeutic Approaches for the Prevention of Upper Limb Repetitive Strain Injuries in Work-Related Computer Use: A Scoping Review.

PURPOSE: To explore and describe therapeutic approaches for the prevention of upper limb (UL) repetitive strain injuries (RSI) amongst computer users in the twenty-first century. METHODS: A scoping review was conducted using the method described by Arksey and O'Malley, further enhanced by Levac et al. to ensure rigor, validity and reliability during analysis. Key concepts pertaining to the research question have been mapped, following comprehensive searches of relevant electronic databases namely EBSCOHost (Academic Search Premier, CINAHL, eBook Collection, E-Journals, Health Source-Consumer Edition, Health Sources-Nursing/Academic Edition and MEDLINE), PUBMED and Google Scholar. The identified studies have been presented in a descriptive numerical summary to address the research aim. RESULTS: From the 577 studies initially identified, 58 studies were eligible for inclusion in the scoping review after abstract and full text screening. Strategies for the prevention of UL RSIs in computer users were categorised into overarching types of intervention as well as the factors which contribute towards sustained implementation of prevention strategies. Using ergonomic equipment was the most prevalent approach during intervention, breaks and rest periods were found to be the less common intervention offered to prevent RSIs. The majority of the studies noted personal worksite adjustments, including adjustments of the chair, back rest, lumbar support, handles or any arm support to the individual as a strategy to prevent UL RSIs. In high income countries the use of ergonomic equipment was the most common type of approach during intervention, in middle income countries stretches were the most common therapeutic intervention strategy and in low-income countries there was an even distribution between a number of different therapeutic interventions aimed at preventing RSIs. CONCLUSIONS: The review provides an overview of approaches and a comprehensive baseline for identifying further research required to generate prevention approaches. The information within the review may be used to impact company practice, policy and decision making in terms of developing prevention strategies.

A Comprehensive Evaluation of AI-Assisted Diagnostic Tools in ENT Medicine: Insights and Perspectives from Healthcare Professionals.

The integration of Artificial Intelligence (AI) into healthcare has the potential to revolutionize medical diagnostics, particularly in specialized fields such as Ear, Nose, and Throat (ENT) medicine. However, the successful adoption of AI-assisted diagnostic tools in ENT practice depends on the understanding of various factors; these include influences on their effectiveness and acceptance among healthcare professionals. This cross-sectional study aimed to assess the usability and integration of AI tools in ENT practice, determine the clinical impact and accuracy of AI-assisted diagnostics in ENT, measure the trust and confidence of ENT professionals in AI tools, gauge the overall satisfaction and outlook on the future of AI in ENT diagnostics, and identify challenges, limitations, and areas for improvement in AI-assisted ENT diagnostics. A structured online questionnaire was distributed to 600 certified ENT professionals with at least one year of experience in the field. The questionnaire assessed participants' familiarity with AI tools, usability, clinical impact, trust, satisfaction, and identified challenges. A total of 458 respondents completed the questionnaire, resulting in a response rate of 91.7%. The majority of respondents reported familiarity with AI tools (60.7%) and perceived them as generally usable and clinically impactful. However, challenges such as integration with existing systems, user-friendliness, accuracy, and cost were identified. Trust and satisfaction levels varied among participants, with concerns regarding data privacy and support. Geographic and practice setting differences influenced perceptions and experiences. The study highlights the diverse perceptions and experiences of ENT professionals regarding AI-assisted diagnostics. While there is general enthusiasm for these tools, challenges related to integration, usability, trust, and cost need to be addressed for their widespread adoption. These findings provide valuable insights for developers, policymakers, and healthcare providers aiming to enhance the role of AI in ENT practice.

Estimating Cognitive Load in a Mobile Personal Health Record Application: A Cognitive Task Analysis Approach.

OBJECTIVES: Mobile health applications that are designed without considering usability criteria can lead to cognitive overload, resulting in the rejection of these apps. To avoid this problem, the user interface of mobile health applications should be evaluated for cognitive load. This evaluation can contribute to the improvement of the user interface and help prevent cognitive overload for the user. METHODS: In this study, we evaluated a mobile personal health records application using the cognitive task analysis method, specifically the goals, operators, methods, and selection rules (GOMS) approach, along with the related updated GOMS model and gesture-level model techniques. The GOMS method allowed us to determine the steps of the tasks and categorize them as physical or cognitive tasks. We then estimated the completion times of these tasks using the updated GOMS model and gesture-level model. RESULTS: All 10 identified tasks were split into 398 steps consisting of mental and physical operators. The time to complete all the tasks was 5.70 minutes and 5.45 minutes according to the updated GOMS model and gesture-level model, respectively. Mental operators covered 73% of the total fulfillment time of the tasks according to the updated GOMS model and 76% according to the gesture-level model. The inter-rater reliability analysis yielded an average of 0.80, indicating good reliability for the evaluation method. CONCLUSIONS: The majority of the task execution times comprised mental operators, suggesting that the cognitive load on users is high. To enhance the application's implementation, the number of mental operators should be reduced.

Development and refinement of a novel end-of-life planning website for patients with advanced cancer: a mixed methods approach.

PURPOSE: Despite known benefits of planning for end-of-life, no digital tool exists to help patients with advanced cancer and their loved ones plan for death comprehensively. To address this unmet need, we developed a preliminary version of an innovative website to help patients with advanced cancer prepare for end-of-life tasks. METHODS: Guided by the Obesity-Related Behavioral Intervention Trials (ORBIT) model for behavioral intervention development, patients with advanced cancer (n = 10) and their caregivers (n = 10) participated in a "Think Aloud" exercise and usability protocols to optimize the end-of-life planning website. The website was iteratively refined throughout the study in collaboration with the partnering company, Peacefully, Inc. Participants also completed the Acceptability E-Scale and System Usability Scale, with a priori benchmarks established for acceptability (scores of ≥ 24 on the Acceptability E-Scale) and usability (scores of ≥ 68 on the System Usability Scale). RESULTS: Patients (N = 10) and caregivers (N = 10) completed usability testing. Patients were majority female (80%), White (100%), and had a mean age of 58 years. Caregivers (N = 10) were majority male (60%), spouse/partner (90%), White (90%), and had a mean age of 59 years. For patients, a priori hypotheses were met for both acceptability (mean score of 24.7, SD = 4.35) and usability (mean score of 73.8, SD = 6.15). For caregivers, acceptability was just below the cutoff (mean score of 22.9, SD = 4.07) and usability exceeded the cutoff (mean score of 70.0, SD = 8.42). Overall, patients and caregivers reported high levels of satisfaction and found the website helpful, with specific suggestions for changes (e.g., add more information about information security, improve text legibility). CONCLUSIONS: The findings from this study will inform modifications to optimize an innovative website to support patients with advanced cancer to prepare holistically for end-of-life tasks.

An exploration of facilitators and barriers to patient navigator core functions with breast cancer patients: Implications for the development of a human-centered mHealth app.

Objectives: To understand the barriers to core functions and workflow among patient navigators (PN) who navigate people diagnosed with breast cancer (BC). To identify how a mobile health (mHealth) app could assist PNs in providing care to BC patients. Methods: This qualitative research study used purposive sampling to recruit stakeholders (N = 33) from January to August 2021. We conducted individual semi-structured interviews with PNs (n = 11), oncology care providers (n = 12), and BC patients (n = 10). We used conventional content analysis to analyze the interview data. Results: Participants identified the following sociotechnical systems barriers in PN workflows that negatively impact BC patient care: 1) resources, 2) insurance coverage, 3) communication challenges, and 4) impact of logistical tasks. Participants identified the user experience, app features, and interoperability customizations to enhance PNs' provision of patient care as important design elements to include in a mHealth app. Conclusion: Feedback from stakeholders provided valuable insights into key design considerations, functions, and content areas for developing a mHealth app for PN use in BC care delivery. Innovation: This is one of the first studies to incorporate the human-centered design and sociotechnical systems frameworks to understand barriers to PN workflow and provision of BC patient care across the cancer care continuum.

Utility of an endoscopic image processing system for framing laparoscopic images using surgeon's gaze point and voice commands during laparoscopic percutaneous extraperitoneal closure of inguinal hernia in children.

Introduction: In laparoscopic surgery, it is the assistant who manipulates the laparoscope and manages the field of view. Aim: To develop an endoscopic image processing system that can adjust laparoscopic images as intended by the surgeon without interrupting the surgical procedure. Material and methods: We developed a touchless user interface that displays a magnified image of the endoscope using information of the surgeon's gaze point acquired by an eye-tracking device and the surgeon's voice commands, and evaluated its usefulness during laparoscopic percutaneous extraperitoneal closure (LPEC) of pediatric inguinal hernia. Results: LPEC was performed in 15 clinical cases of pediatric inguinal hernia using this system. In all cases, the internal inguinal ring could be ligated by digitally zooming and moving the endoscopic image by eye tracking and voice command while the scope was fixed. Conclusions: This new touchless user interface with eye tracking shows promise as a support system for laparoscopic surgery.

FHIR DataProvider for ReactAdmin: Leveraging User Interface Creation for Medical Web Applications.

In medical data science, FHIR provides an increasingly used information model, which will lead to the creation of FHIR warehouses in the future. To efficiently work with a FHIR-based representation, users need a visual representation. The modern UI framework ReactAdmin (RA) enhances usability by leveraging current web standards such as React and Material Design. Rapid development and implementation of usable modern UIs is made possible by its high modularity and many widgets available in the framework. For data connection to different data sources RA needs a DataProvider (DP), which maps the communication from the server to the provided components. In this work, we present a DataProvider for FHIR that enables future UI developments for FHIR servers using RA. A demo application demonstrates the DP's capabilities. The code is published under MIT license.

Holistic Digitalization of the Nursing Internship Process in the Federal State of Salzburg with Strong User Involvement.

BACKGROUND: In the federal state of Salzburg, the harmonization of nursing internship took place from 2014-2019 as a joint effort of educational and internship providers. Currently the handling of these mostly paper pencil-based documents involves a manual process through different institutions and people. OBJECTIVES: The project provides the basis for the implementation of the "internship platform". In the future, this is to be the digital, state-of-the-art one-stop shop for the state-wide practical nursing training (in the form of immanent internships) at all training levels. METHODS: The process is influenced by modern requirements engineering techniques: As-is analysis of the internship process and related documents, contextual inquires in different internship providers, iterative focus group discussions focusing first on user stories, then on interface designs, and final user testing. RESULTS: Standardized workflow and authorization concept for all user groups, mandatory requirements for the software system, tested user interfaces, tender documents for EU-wide tender procedure. CONCLUSION: Positive feedback from all involved user groups on project goal, results and involvement in the process.

Designing an app for alternative access assessments: using interviews to uncover and define user needs.

To support effective alternative access assessment and service delivery for people with motor impairments, we are developing an app called Access Navigator. This paper describes the first stage of the project: the interviews we conducted as part of a discovery process to improve our understanding of user needs. We individually interviewed 8 assistive technology practitioners and 3 clients who use alternative access methods, to learn what practitioners were currently doing in their access assessments, identify opportunities for improving current practice, and understand what the assessment process was like for clients. We extracted 236 relevant quotes from interview transcripts, and clustered the quotes using the affinity wall method, yielding 42 themes. Here we present the 21 highest priority themes, along with the app requirements that support those themes. Results confirmed the need for a tool to support more effective assessments, with emphasis on taking the worry out of access assessments and supporting early success. Results also revealed specific needs such as flexible workflow, personalized test-drive tasks, and a choice of metrics (including client preference). With a richer understanding of user needs, we are in a much better position to design software that can address those needs.

Development of an Open-Source Injection Mold Monitoring System.

In the highly competitive injection molding industry, the ability to effectively collect information from various sensors installed in molds and machines is of the utmost relevance, enabling the development of data-based Industry 4.0 algorithms. In this work, an alternative to commercially available monitoring systems used in the industry was developed and tested in the scope of the TOOLING 4G project. The novelty of this system is its affordability, simplicity, real-time data acquisition and display in an intuitive Graphical User Interface (GUI), while being open-source firmware and software-based. These characteristics, and their combinations have been present in previous works, but, to the authors' knowledge, not all of them simultaneously. The system used an Arduino microcontroller-based data acquisition module that can be connected to any computer via a USB port. Software was developed, including a GUI, prepared to receive data from both the Arduino module and a second module. In the current state of development, data corresponding to a maximum of six sensors can be visualized, at a rate of 10 Hz, and recorded for later usage. These capabilities were verified under real-world conditions for monitoring an injection mold with the objective of creating the basis of a platform to deploy predictive maintenance. Mold temperature, cavity pressure, 3-axis acceleration, and extraction force data showed the system can successfully monitor the mold and allowed the clear distinction between normal and abnormal operating patterns.

Postmenopausal women's cognitive function and performance of virtual reality tasks.

OBJECTIVE: This study aimed to assess whether prior knowledge of computer use determines performance of virtual reality tasks by postmenopausal women and whether menopausal symptoms, sociodemographic factors, lifestyle and cognition modify or interfere with their performance. METHOD: This cross-sectional study included 152 postmenopausal women divided into two groups: computer users and non-users. Age, ethnicity, time of menopause, menopausal symptoms, female health status, level of physical activity and cognitive function were considered. The participants played a virtual reality game and were assessed for hits, errors, omissions and game time. The Mann-Whitney, chi-square and Fisher exact tests and multivariate linear regression analysis were used. RESULTS: Postmenopausal computer users play virtual reality games (p = 0.005) better than postmenopausal non-users of computers. Vasomotor symptoms were high in women who used computers compared to those who did not (p = 0.006). Multivariate linear regression analysis found that the best-fitting predictors for the number of hits - that is, age (p = 0.039), Mini-Mental State Examination score (p = 0.006) and the headache symptom (p = 0.021) - influence the performance of virtual reality tasks. CONCLUSION: Computer users performed virtual reality tasks better than non-users. Headache and age but not vasomotor symptoms negatively affected the postmenopausal women's performance.

Problem-oriented documentation: design and widespread adoption of a novel toolkit in a commercial electronic health record.

Background: Problem-oriented documentation is an accepted method of note construction which facilitates clinical thought processes. However, problem-oriented documentation is challenging to put into practice using commercially available electronic health record (EHR) systems. Objective: Our goal was to create, iterate, and distribute a problem-oriented documentation toolkit within a commercial EHR that maximally supported clinicians' thinking, was intuitive to use, and produced clear documentation. Materials and Methods: We used an iterative design process that stressed visual simplicity, data integration, a predictable interface, data reuse, and clinician efficiency. Creation of the problem-oriented documentation toolkit required the use of EHR-provided tools and custom programming. Results: We developed a problem-oriented documentation interface with a 3-column view showing (1) a list of visit diagnoses, (2) the current overview and assessment and plan for a selected diagnosis, and (3) a list of medications, labs, data, and orders relevant to that diagnosis. We also created a series of macros to bring information collected through the interface into clinicians' notes. This toolkit was put into a live environment in February 2019. Over the first 9 months, the custom problem-oriented documentation toolkit was used in a total of 8385 discrete visits by 28 clinicians in 13 ambulatory departments. After 9 months, the go-live education and EHR optimization teams in our health system began promoting the toolkit to new and existing users of our EHR resulting in a significantly increased uptake by outpatient clinicians. In April 2022 alone, the toolkit was used in more than 92 000 ambulatory visits by 894 users in 271 departments across our health system. Conclusions: As a health-system client of a commercial EHR, we developed and deployed a revised problem-oriented documentation toolkit that is used by clinicians more than 92 000 times a month. Key success elements include an emphasis on usability and an effective training effort.

Developing a Technical-Oriented Taxonomy to Define Archetypes of Conversational Agents in Health Care: Literature Review and Cluster Analysis.

BACKGROUND: The evolution of artificial intelligence and natural language processing generates new opportunities for conversational agents (CAs) that communicate and interact with individuals. In the health domain, CAs became popular as they allow for simulating the real-life experience in a health care setting, which is the conversation with a physician. However, it is still unclear which technical archetypes of health CAs can be distinguished. Such technical archetypes are required, among other things, for harmonizing evaluation metrics or describing the landscape of health CAs. OBJECTIVE: The objective of this work was to develop a technical-oriented taxonomy for health CAs and characterize archetypes of health CAs based on their technical characteristics. METHODS: We developed a taxonomy of technical characteristics for health CAs based on scientific literature and empirical data and by applying a taxonomy development framework. To demonstrate the applicability of the taxonomy, we analyzed the landscape of health CAs of the last years based on a literature review. To form technical design archetypes of health CAs, we applied a k-means clustering method. RESULTS: Our taxonomy comprises 18 unique dimensions corresponding to 4 perspectives of technical characteristics (setting, data processing, interaction, and agent appearance). Each dimension consists of 2 to 5 characteristics. The taxonomy was validated based on 173 unique health CAs that were identified out of 1671 initially retrieved publications. The 173 CAs were clustered into 4 distinctive archetypes: a text-based ad hoc supporter; a multilingual, hybrid ad hoc supporter; a hybrid, single-language temporary advisor; and, finally, an embodied temporary advisor, rule based with hybrid input and output options. CONCLUSIONS: From the cluster analysis, we learned that the time dimension is important from a technical perspective to distinguish health CA archetypes. Moreover, we were able to identify additional distinctive, dominant characteristics that are relevant when evaluating health-related CAs (eg, input and output options or the complexity of the CA personality). Our archetypes reflect the current landscape of health CAs, which is characterized by rule based, simple systems in terms of CA personality and interaction. With an increase in research interest in this field, we expect that more complex systems will arise. The archetype-building process should be repeated after some time to check whether new design archetypes emerge.

DentaSeal: A school-based dental sealant efficiency assessment tool to support statewide monitoring and reporting: A field report.

BACKGROUND: The evidence base supports effectiveness of dental sealants for prevention of childhood caries in school-aged children. OBJECTIVE: This study describes planning, development, usability testing and outcomes following implementation of DentaSeal, a web-based application designed to accurately track unique student data and generate reports for all Wisconsin school-based sealant placement (SP) programs. METHODS: Application software development was informed by a steering committee of representative stakeholders who were interviewed to inform design and provide feedback for design of DentaSeal during development and evaluation. Software development proceeded based on wireframes developed to build architectural design. Usability testing followed and informed any required adjustments to the application. The DentaSeal prototype was beta tested and fully implemented subsequently in the public health sector. RESULTS: The DentaSeal application demonstrated capacity to: 1) track unique student SP data and longitudinal encounter history, 2) generate reports and 3) support administrative tracking. In 2019, DentaSeal captured SP data of 47 school-based programs in Wisconsin that sponsored > 7,000 program visits for 184,000 children from 62 counties. Delivery of > 548,000 SP services were catalogued. CONCLUSIONS: For public health initiatives targeting reduction in caries incidence, web-based applications such as DentaSeal represent useful longitudinal tracking tools for cataloguing SP in school-based program participants.

The use of a novel sensorized simulation platform for real-time labor progression assessment.

OBJECTIVE: To prove the potentialities of an integrated and sensorized childbirth platform as an innovative simulator for education of inexperienced gynecological and obstetrical medical students. METHODS: A total of 152 inexperienced medical students were recruited to a simulation program on labor progression evaluation. After an introductory lecture on basic concepts of labor and birth given by an expert gynecologist, three different gynecologic scenarios were simulated using both a traditional obstetric simulator and the innovative proposed platform, for a total of six tests for each student. A score was assigned for each performed scenario, based on its correctness. Self-assessment questionnaires were compiled before and after the simulation program for additional subjective assessment. RESULTS: Median score of the simulations performed with our platform was significantly higher than that of the simulations performed with a traditional simulator, for all the three experimented scenarios (P < 0.001). CONCLUSIONS: The use of a sensorized platform for labor progression allowed for an accurate and faster diagnosis if compared with a traditional simulator even for inexperienced operators, supporting its use in clinical training, which could be realistically introduced into the clinical practice for medical student education.

Web version of the protocol of the orofacial myofunctional evaluation with scores: usability and learning / Versão para Web do protocolo de avaliação miofuncional com escores: usabilidade e aprendizado

ABSTRACT Purpose The Orofacial Myofunctional Evaluation with Scores (OMES) protocol has been validated and used in clinical practice and research. The goals of this study were to develop, analyze and improve a version of OMES for the Web and to investigate the relationship between the usability judgments and the prior experience of the evaluators and whether using the interface promotes learning, as shown by the task completion time (TCT). Methods Study steps: 1) inspection of the prototype by the team; 2) evaluation of usability by three experienced speech-language pathologists (SLPs); and 3) evaluation of its usability by 12 SLPs with varying levels of experience in the use of OMES. Participants answered the Heuristic evaluation (HE), the Computer System Usability Questionnaire (CSUQ), and expressed free comments. The TCT was recorded. Results The OMES-Web reached excellent usability levels, and the participants were highly satisfied. The correlations between the participants' experience and the HE and CSUQ scores were not significant. The TCT decreased significantly throughout the tasks. Conclusion OMES-Web meets the usability criteria, and participants feel satisfied with the system regardless of their level of experience. The fact that it is easy to learn favors its adoption by professionals.

RESUMO Objetivo O Protocolo de Avaliação Miofuncional Orofacial com Escores (AMIOFE) é validado e usado na prática clínica e pesquisas. Os objetivos deste estudo foram desenvolver, analisar e aprimorar a versão do AMIOFE para a Web e investigar a relação entre os julgamentos de usabilidade e a prévia experiência dos avaliadores, e se o manuseio da interface promove o aprendizado, baseado no tempo para completar a tarefa (TCT). Método Passos do estudo: 1) inspeção do protótipo pela equipe; 2) avaliação de usabilidade por três fonoaudiólogos experientes; e 3) avaliação de usabilidade por 12 fonoaudiólogos com variados níveis de experiência no uso do AMIOFE. Avaliação heurística (HE), Computer System Usability Questionnaire (CSUQ) e livre expressão dos participantes foram realizadas. O TCT foi registrado. Resultados O AMIOFE-Web atingiu ótimos níveis de usabilidade e os participantes mostram-se altamente satisfeitos (Escala geral do CSUQ; Média= 1,31, DP= 0,31). A relação da experiência dos participantes e a HE e o CSUQ não foi significativa. O TCT decresceu significantemente ao longo das tarefas, mostrando que o sistema é fácil de aprender e usar. Conclusão O AMIOFE-Web atende os critérios de usabilidade e os participantes sentiram-se satisfeitos com o sistema, independentemente de seus níveis de experiência. O fato de ser de fácil aprendizado é um fator favorável para a sua adoção por profissionais.