This study aimed to discover distance visual acuity (VA) assessments through the display of the Snellen chart on the iPad tablet. The findings are equivalent to those obtained using the conventional light-box Snellen chart. In this work, the Snellen iPad app and Eye Chart HD iOS app are utilized among the participants in the Ophthalmology Outpatient Department (OPD) for determining VA. A cross-sectional method was used for the examination, which included 100 new patients who were chosen by random selection. The age requirement for new patients was 8 years and up for both genders. Patients with a VA of less than 6/30 were disqualified from the experiment. Two testing modalities are used to measure VA, such as the iPad Mini 2 with the iOS software Eye Chart HD and the classic Snellen light-box chart. The observation revealed that the Snellen iPad app and the classic light-box Snellen chart produced equivalent findings. The classic Snellen chart may have been memorized by participants before their eye examination, undermining the accuracy of the conclusions of the initial testing modality used. Patient-related variables were also identified as confounders. Future studies should adjust the brightness of the iPad Mini 2 and the traditional light-box Snellen chart to make sure that neither experiment modality\'s brightness affects the accuracy of the findings. Future research should also investigate the use of premium apps, use both devices, and employ a bigger sample size.

Cognitive frailty is defined as a clinical condition characterized by both physical frailty and cognitive impairment, without reaching the criteria for dementia. The major goal of rehabilitation intervention is to assist patients in performing ordinary personal duties without the assistance of another person, or at the very least to remove the need for additional support, using adaptive approaches and facilities. In this regard, home-based rehabilitation allows patients to continue an intervention begun in a hospital setting while also ensuring support and assistance when access to healthcare systems is limited, such as during the present pandemic situation. We thus present Brain m-App, a tablet-based application designed for home-based cognitive rehabilitation of frail subjects, addressing spatial memory, attention, and executive functions. This app exploits the potential of 360° videos which are well-suited to home-based rehabilitation. The Brain m-app is made up of 10 days of activities that include a variety of exercises. The activities were chosen based on those patients used to do during their clinical practice in the hospital with the aim to improve their independence and autonomy in daily tasks. The preliminary usability test, which was conducted on five older people, revealed a sufficient level of usability, however, the sample size was modest. Results from the clinical study with 10 patients, revealed that Brain m-App improved especially executive functions and memory performances.

This paper describes a smart tablet-based drawing app to digitally record participants\' engagement with the Rey-Osterrieth complex figure (ROCF) task, a well-characterised perceptual memory task that assesses local and global memory. Digitisation of the tasks allows for improved ecological validity, especially in children attracted to tablet devices. Further, digital translation of the tasks affords new measures, including accuracy and computation of the fine motor control kinematics employed to carry out the drawing Here, we report a feasibility study to test the relationship between two neurodevelopmental conditions: autism spectrum disorder (ASD) and attention-deficit/hyperactivity disorder (ADHD). The smart tablet app was employed with 39 adult participants (18-35) characterised for autistic and ADHD traits, and scored using the ROCF perceptual and organisational scoring systems. Trait scores and conditions were predictor variables in linear regression models. Positive correlations were found between the attention-to-detail, attention-switching and communication subscales of the autistic trait questionnaire and organisational scores on the ROCF task. These findings suggest that autistic traits might be linked to differential performance on the ROCF task. Novelty and future applications of the app are discussed.

Variability is pervasive in spoken language, in particular if one is exposed to two varieties of the same language (e.g., the standard variety and a dialect). Unlike in bilingual settings, standard and dialectal forms are often phonologically related, increasing the variability in word forms (e.g., German Fuß \"foot\" is produced as [fus] in Standard German and as [fs] in the Alemannic dialect). We investigate whether dialectal variability in children\'s input affects their ability to recognize words in Standard German, testing non-dialectal vs. dialectal children. Non-dialectal children, who typically grow up in urban areas, mostly hear Standard German forms, and hence encounter little segmental variability in their input. Dialectal children in turn, who typically grow up in rural areas, hear both Standard German and dialectal forms, and are hence exposed to a large amount of variability in their input. We employ the familiar word paradigm for German children aged 12-18 months. Since dialectal children from rural areas are hard to recruit for laboratory studies, we programmed an App that allows all parents to test their children at home. Looking times to familiar vs. non-familiar words were analyzed using a semi-automatic procedure based on neural networks. Our results replicate the familiarity preference for non-dialectal German 12-18-month-old children (longer looking times to familiar words than vs. non-familiar words). Non-dialectal children in the same age range, on the other hand, showed a novelty preference. One explanation for the novelty preference in dialectal children may be more mature linguistic processing, caused by more variability of word forms in the input. This linguistic maturation hypothesis is addressed in Experiment 2, in which we tested older children (18-24-month-olds). These children, who are not exposed to dialectal forms, also showed a novelty preference. Taken together, our findings show that both dialectal and non-dialectal German children recognized the familiar Standard German word forms, but their looking pattern differed as a function of the variability in the input. Frequent exposure to both dialectal and Standard German word forms may hence have affected the nature of (prelexical and/or) lexical representations, leading to more mature processing capacities.

The purpose of this study was to investigate the impact of mLearning or mobile device practice on the attention and accuracy of student\'s use of math concepts, specifically, telling time. A single subject, alternating treatment design was used to compare mLearning to paper and pencil practice in four 3rd grade male students. Results were mixed; two children were observed to be more on-task during the mLearning practice, and two children were observed to perform similarly across both conditions. Additionally, two children performed similarly on correctly completed problems across both conditions, and two children performed better using paper and pencil practice. All students completed more math problems during the paper and pencil practice.

Healthcare and human services are increasingly required to demonstrate effectiveness and efficiency of their programs, with assessment and evaluation processes more regularly part of activity cycles. New approaches to service delivery, such as the National Disability Insurance Scheme (NDIS) scheme in Australia, require outcome-focused reporting that is responsive to the perspectives of clients. Eco-systematic approaches to service delivery and assessment consider the client as part of an interconnected web of stakeholders who all have responsibility for and contribute to their development and progress. These imperatives provide challenges for modalities for which there are not well-established assessment approaches. Dance movement therapists face particular difficulties in this respect, as they have few assessment tools that are practical for regular use. Existing dance movement therapy (DMT) assessment approaches largely do not yet prioritize input from clients. This article addresses these challenges in reporting a trial of iPad app MARA (Movement Assessment and Reporting App) developed for assessment in DMT. MARA is applied in a program for adults with intellectual disability (ID) over 16 weeks. Assessment data is gathered utilizing the app\'s features: two researcher-therapists undertake quantitative scoring that MARA aggregates into graphs, substantiated by qualitative note-taking, photos, and videos; and clients provide feedback about their progress stimulated by viewing photos and videos. A sample graph generated by MARA and supporting notes and a report drawn from data are provided. Responses to reports from program stakeholders (12 participants, 12 families, 11 center staff) gathered through interviews and focus groups are discussed, and researcher-therapists\' reflections are detailed. The benefits of using MARA reported by researcher-therapists include strengthened capacity to focus on participant outcomes, assess efficiently, plan and make decisions for the program, and communicate participants\' progress to stakeholders. Family members perceive reports drawn from data gathered in MARA to be useful in enabling better understanding of the DMT program and participant outcomes and potentially to support NDIS service planning. Managers perceive the potential value of data in these reports for quality control and resource decisions, while other staff confirm the therapists\' perspective that reports offer the possibility of improved communication and collaboration between center staff.

The proliferation of mobile devices and emergence of interoperable \'mHealth\' apps is accelerating development and deployment of patient-facing risk assessments in primary care. The present study describes a user-centered design and an agile development approach to creation of an app for assessing lungfunction as part of a randomized controlled trial for the   dentification of chronic obstructive lung disease in primary care.
Seventeen patients recruited from a hospital-based, ambulatory family medicine clinic agreed to be videotaped while using the app, Lung Age, on a first-generation iPad prior to their provideR encounter. Subsequently, participants were interviewed using a semi-structured interview guide upon exiting their medical visit.
Observational data indicated that participants took advantage of the portability and flexibility of the tablet device in the exam room to engage with the Lung Age app with the optionto share and discuss their results with their providers. Results from the semistructured interviews indicated that participants perceived the Lung Age app as intuitive and easy to use.
These results demonstrate that tablet computers and mHealth apps can be used to deploy acceptable and useable electronic risk assessments in primary care settings. Future research focused on the impact and outcomes of patient-centered, mHealth apps for risk screening in primary care is warranted.

This study aimed to evaluate the effectiveness of an iPad app for teaching healthcare economics milestones.
Institutional review board-approved, Health Insurance Portability and Accountability Act-compliant survey assessment of radiology residents\' knowledge of healthcare economics before and following review of the Healthcare Economics iPad app was undertaken at two residencies. Residents received an electronic link to the pre survey, answered 13 general knowledge questions, rated their knowledge of healthcare economics milestones, and reported any prior economics/business background. During the conference, residents reviewed the app on their iPads. They then received a link to the post survey. Responses were entered using REDCap and a unique yet anonymous code was used to link each resident\'s pre and post results. A follow-up survey was completed at 3 months using REDCap.
Sixty-two of 69 (90%) residents completed the pre survey. Mean and median age was 30 years. Thirty-two of 62 (52%) were men and 30/62 (48%) were women. Twenty-nine percent (18/62) were postgraduate year (PGY) 2, 24% (15/62) PGY 3, 19% (12/62) PGY 4, 26% (16/62) PGY 5, and 1.6% (1/62) PGY 6. Thirty-four percent (21/62) reported some economics/business background. Residents\' mean self-assessment of their knowledge of healthcare economics milestones was fair on the pre survey, significantly improved on the post survey, and plateaued at 3 months. Fifty-nine residents completed the post survey; 60 completed the 3-month follow-up. Residents demonstrated a significant increase in healthcare economics knowledge on post survey. At 3-month follow-up, significant decreases in gained knowledge were observed only in residents for whom the material was not integrated into the curriculum.
Teaching with iPad apps offers an alternative, effective way to teach basics of healthcare economics milestones.

This randomized controlled trial feasibility study tested the effectiveness of an iPad® application (app) social script intervention for children with autism spectrum disorder (ASD) going to imaging and their parent (n=32 parent/child dyads). Parents of the children exposed to the app (n=16) had lower state anxiety compared to the parents whose children were not exposed to the app (n=16) (effect size 0.33). Children exposed to the app had fewer externalized challenging behaviors than the control group (effect size 0.56). The results demonstrate feasibility and efficacy of the intervention. Further study of the iPad app is warranted.