High User Satisfaction Research Articles

Implementation of Crowdfunding Web Application Using AWS Amplify Architecture with End-to-End Testing Using Playwright

This research aims to address the challenges in fundraising processes, which often lack systematic and transparent approaches. To overcome these issues, a web-based crowdfunding application was developed using AWS Amplify as the cloud architecture, Next.js as the web application development framework, and Playwright as the automated end-to-end testing framework. Following the Agile Scrum methodology, the application was designed to provide a convenient and secure user experience for fundraising managers, donors, and potential beneficiaries. The evaluation results showed a high user satisfaction rate of 93.29%, indicating a significant improvement in fundraising effectiveness. Furthermore, the implementation of the web application resulted in a remarkable 210% increase in fundraising efficiency within a 19-day timeframe. The end-to-end automated testing, covering 11 test scenarios on various browsers such as Chromium, Firefox, and WebKit, demonstrated successful performance within a short testing time of 1.9 minutes. These findings validate the success and benefits of the developed web application, offering improved fundraising capabilities and high user satisfaction.

A Tablet-Based App to Support Nursing Home Staff in Delivering an Individualized Cognitive and Physical Exercise Program for Individuals With Dementia: Mixed Methods Usability Study.

The promotion of physical activity in individuals with dementia living in nursing homes is crucial for preserving physical and cognitive functions and the associated quality of life. Nevertheless, the implementation of physical activity programs in this setting is challenging, as the time and expertise of nursing home staff are limited. This situation was further exacerbated by the COVID-19 pandemic. Mobile health apps may be a sustainable approach to overcome these challenges in the long term. Therefore, the Individualized Cognitive and Physical Exercise-App (the InCoPE-App) was developed to support nursing home staff in delivering and implementing tailored cognitive and physical exercise training for individuals with dementia. This study aims to assess the usability of the InCoPE-App in terms of user performance and user perception in a laboratory setting using a mixed methods approach. Nursing home staff were encouraged to perform 5 basic tasks within the InCoPE-App. Their thoughts while using the app were captured by implementing a think aloud protocol. Then, participants completed the System Usability Scale questionnaire. The think aloud transcripts were qualitatively evaluated to unveil usability issues. All identified issues were rated in terms of their necessity to be fixed. Task completion (ie, success rate and time) and perceived usability were evaluated descriptively. A total of 14 nursing home employees (mean age 53.7, SD 10.6 years; n=13, 93% women) participated in the study. The perceived usability of the InCoPE-App, as assessed by the System Usability Scale questionnaire, can be rated as "good." The main usability issues concerned navigation logic and comprehensibility of app content. The InCoPE-App is a user-friendly app that enables nursing home staff to deliver and implement cognitive and physical exercise training for individuals with dementia in nursing homes. The InCoPE-App can be used with little training, even by people aged ≥50 years, who may have low digital literacy. To achieve sustainable use and high user satisfaction of the InCoPE-App in the long term, it should be implemented and evaluated in a field study.

Perancangan UI/UX Aplikasi Buku Online Mizanstore Berbasis Mobile Menggunakan User Centered Design

Currently, e-commerce has become a crucial necessity for society as it provides convenience and comfort in shopping. MizanStore, as an e-commerce platform, enables people to search for and purchase various products they need without leaving their homes. In this ever-evolving era, the use of mobile platforms is preferred over websites due to advantages such as easy accessibility and better user experience. Hence, a research study was conducted to design optimal user interface (UI) and user experience (UX) through the development of the MizanStore mobile application. The User Centered Design (UCD) methodology was implemented in this research, involving four main stages. These stages encompassed understanding the application's usability, conducting in-depth analysis of user needs, developing responsive design solutions, and evaluating through continuous testing. By employing this approach, existing issues were identified and addressed, resulting in a prototype design model that aligns with user expectations and desires. Testing was conducted with the participation of 10 users, utilizing the System Usability Scale (SUS) questionnaire. The results indicated that MizanStore obtained an average SUS score of 90, demonstrating high user satisfaction and alignment between the application and their needs. These findings provide a solid foundation for further improvement and development of MizanStore. Consequently, MizanStore can continue to deliver an optimal shopping experience and better meet user needs.

Feasibility and efficacy of a digital resilience training: A pilot study of the strengths-based training RESIST

BackgroundWork-related stress is a risk factor for a number of adverse health and work outcomes. Resilience trainings are a promising approach for adequately dealing with work stress and keeping employees mentally healthy. However, results of previous resilience trainings have been heterogeneous, ranging from null findings to large effects. Existing digital resilience interventions show a lack of consistency in terms of an underlying theoretical framework and methods used to foster resilience. Positive Appraisal Style Theory of Resilience offers an innovative conceptualization of resilience. Strengths-based cognitive behavioral therapy is a corresponding therapeutically method reflecting resilience as a resource-oriented process of dealing with stress. Based on this background, a new hybrid web-and app-based digital resilience intervention for employees named RESIST was developed. ObjectiveThe first aim of the study was to investigate the feasibility of the newly developed training RESIST regarding its usability, user behavior, user experience and motivation to use. Second, the study sought to explore preliminary effects of the intervention on reducing stress and enhancing resilience by conducting a pilot randomized controlled trial. MethodsThe feasibility study was conducted in three phases. First, the usability of the app was investigated in a pre-test with five participants using a thinking-aloud method. Second, the preliminary efficacy of the training was examined in a pilot randomized controlled trial. A sample of 30 employees were randomized either to receive the resilience training (n = 15) or to be member of a control group (n = 15). The primary outcome was measuring perceived stress. Secondary outcomes included measures of resilience and depressive symptoms. Third, semi-structured interviews were undertaken with six participants of the resilience training group on training content, motivation for use, and user experience. ResultsOverall, results indicate that RESIST can be a feasible training for resilience promotion and stress reduction with high user satisfaction. Analysis of covariance showed that, relative to controls, participants who received RESIST reported significantly lower stress scores at post-intervention (F1,27 = 16.91, p < 0.001; Cohen's d = 1.57; 95 % CI 0.71–2.43) than controls. Significant differences, with moderate-to-large effect sizes, were also detected for general resilience and various resilience factors. ConclusionsResults are promising and provide hope that a hybrid web- and app-based resilience intervention based on strengths-based cognitive behavioral therapy can have a positive impact on dealing adequately with stress and improve resilience of employees.

Internet Wizard for Enhancing Open-Domain Question-Answering Chatbot Knowledge Base in Education

Chatbots have gained widespread popularity for their task automation capabilities and consistent availability in various domains, including education. However, their ability to adapt to the continuously evolving and dynamic nature of knowledge is limited. This research investigates the implementation of an internet wizard to enhance the knowledge base of an open-domain question-answering chatbot. The proposed approach leverages search engines, particularly Google, and its features, including feature snippets, knowledge graph, and organic search, in conjunction with data science and natural language models. This mechanism empowers the chatbot to dynamically access the extensive and up-to-date knowledge available on the web, enabling the provision of real time and pertinent answers to user queries sourced from web documents. A pilot study in a higher education context evaluated the chatbot’s mechanism and features, confirming its proficiency in generating responses across a broad range of educational and non-educational topics. Positive feedback and high user satisfaction validate these findings. Notably, the chatbot’s dynamic feature of retrieving related or follow-up questions from search engines significantly enhances student engagement and facilitates exploration of supplementary information beyond the curriculum.

PAA: A Blockchain-Based Parking Assistance Alliance With User Preference

In order to improve traffic conditions and environmental pollution caused by automobile exhaust, it is critical and challenging to help numerous vehicle users to obtain ideal parking spaces in terms of quality of experience (QoE), security and efficiency. The parking assistance scheme using the consortium blockchain can get a tradeoff between security and efficiency, but it is a key issue to meet the preferences of parking space seekers and design a well-operated incentive sharing mechanism. This paper proposes a Parking Assistance Alliance (PAA) scheme based on double auction for vehicular blockchain. Through truthful incentives, the PAA encourages vehicles in the alliance to provide parking information for nearby vehicle users. Further, the vehicle user&#x2019;s preference is fully considered when assigning the parking space. The matching priority is introduced by incorporating the parking space supply and demand, as a reference to provide prioritized service. Theoretical proofs and simulation results show that the PAA scheme can achieve individual rationality, budget balance, and truthfulness, with high user satisfaction, and the PAA scheme deployed on the IBM Hyperledger Fabric platform outperforms the existing method with an average of 7.42% higher successful allocation ratio and 35.4% less transaction confirmation time.

Plastic Surgery and Artificial Intelligence: How ChatGPT Improved Operation Note Accuracy, Time, and Education

ObjectivesTo evaluate the feasibility and effectiveness of employing a large language model (LLM), particularly the chat generative pretrained transformer (ChatGPT), as a supporting and educational tool for plastic surgeons. Patients and MethodsThe study involved generating operative notes for plastic surgery procedures using ChatGPT-4 and comparing them with handwritten or computer-written notes for the same procedures. All operations were performed in a single institution from February 1, 2023, to April 20, 2023, by 4 surgeons. Data were compared using the Likert scale that included the following: procedure type; seniority of operating surgeon and operative note creator; type of note; time of surgeon generated note; time of artificial intelligence (AI)-generated note; adherence of AI note to current guidelines; surgeon satisfaction about AI-generated note; patient demographic characteristics; and patient satisfaction about AI-generated note. ResultsChatGPT-generated operative notes (n=30) took considerably less time to create than human-generated notes (5.1 seconds vs 7.10 minutes; P<.05), with 100% of the ChatGPT notes adhering to the current guidelines. Surgeons and patients expressed high satisfaction with the process of generating operative notes by the AI with (n=13) surgeons being very satisfied, (n=12) surgeons being satisfied, (n=4) surgeons being neutral, and only (n=1) surgeon was dissatisfied with the generated operative note. From a patient point of view, (n=13) patients were very satisfied, (n=13) patients were satisfied, (n=3) patients were neutral, and only (n=1) patient was dissatisfied. The mean time for surgeons to create a human note was 7.10 minutes (standard error of mean of 0.334 minutes). By contrast, the ChatGPT platform generated notes in 5.1 seconds (standard error of mean of 0.12 seconds), with an average of 2.1 edits needed per note. In addition, another AI tool enhanced the operative notes with realistic image creations to illustrate surgical incisions. ConclusionLLM-generated notes are significantly faster to create, adhere to guidelines, and receive high user satisfaction from surgeons and patient perception. AI-generated hyper-realistic images further enhanced the operative notes. Although not able to replace human input, these findings show AI’s potential in the medical field and opportunities for future advancement.

User Satisfaction With a Daily Supportive Text Message Program (Text4PTSI) for Public Safety Personnel: Longitudinal Cross-Sectional Study.

Public safety personnel (PSP) are exposed to traumatic events due to their work environments, which increases the risk of mental health challenges. Providing effective and evidence-based interventions, such as SMS text messaging programs, can improve PSP's overall mental well-being with high user satisfaction rates. This study aims to evaluate users' satisfaction, receptiveness, and perceptions of a cognitive behavioral therapy (CBT)-based supportive SMS text messaging intervention (Text4PTSI). Participants self-subscribed to Text4PTSI and received unidirectional cognitive behavioral-based supportive text messages for 6 months. Participants completed a web-based survey delivered via SMS text message at enrollment, and 6 weeks, 3 months, and 6 months post enrollment. Respondents' perception and receptivity of the program were assessed using a questionnaire measured on a 5-point Likert scale. Data were collected as categorical variables, and overall satisfaction with the Text4PTSI program was measured on a scale from 0 to 100. There were 131 subscribers to the Text4PTSI program; however, only 81 subscribers responded to the survey, producing 100 survey responses across the 3 follow-up time points. The overall mean score of satisfaction was 85.12 (SD 13.35). More than half of the survey responses agreed or strongly agreed that Text4PTSI helped participants cope with anxiety (79/100 responses, 79%), depressive symptoms (72/100 responses, 72%), and loneliness (54/100 responses, 54%). Similarly, most of the survey responses agreed or strongly agreed that the Text4PTSI program made respondents feel connected to a support system, improved their overall mental well-being (84/100 responses, 84%), felt more hopeful about managing concerns about their mental health or substance use (82 out of responses, 82%), and helped enhance their overall quality of life (77/100 responses, 77%). The available survey responses suggest that the majority always read the supportive text messages (84/100 responses, 84%), took time to reflect on each message (75/100 responses, 75%), and returned to read the text messages more than once (76/100 responses, 76%). PSP who responded to the follow-up surveys reported high user satisfaction and appreciation for receiving the Text4PTSI intervention during the 6-month program. The reported satisfaction with the service provided could pave the way to ensuring a better uptake of the service with potential effectiveness to end users.

3D Virtual Art Design Method Based on ARCS Model

Abstract The author proposes the use of 3D virtual VR technology in the ARCS model to understand the real and specific environment design of the ARCS model in 3D virtual art design, to check the application of 3D virtual VR technology in the design of the urban environment, the application is 3D virtual VR technology, - the construction of 3D urban model, exploring specific applications. Check out specific applications of 3D virtual VR technology in urban park art design, automotive ambient art design, and landscape ambient art design. Experiments have shown that 3D virtual VR technology can improve environmental design results with high user satisfaction and economic results in the construction industry.

Investigation of the Chemical Content and User Comments on Facial Cleansing Products.

The goal of skin cleansing is to reduce sebum and exogenous pollutants and control the skin microbiome. Surfactants in cleansers dissolve hydrophobic substances in an aqueous phase and allow them to move away from the skin's surface. The negative effect of surfactants on the skin barrier can be reduced by changing the solution properties. As a dermatologist in the group of patients we encounter in our clinical dermatology practice who recommends face wash products, we thought of conducting this research in order to determine the product contents to identify the products with the highest user satisfaction so that we can easily make the selection of the right product and direct the patients correctly. We planned to conduct cross-sectional research. Ten facial cleansing products sold on the most popular website that sells dermo-cosmetic products online in our country were selected. In the selection of the website, the criterion of having the most Internet traffic was sought. Internet traffic data was obtained from www.similarweb.com. The classification of the identified key ingredients according to their chemical properties was used on https://cosmeticanalysis.com. Reviews for each of the ten products in total were examined from the most recent date to the oldest. We detected 87 different chemicals in ten different products. These basically consisted of surfactants, emollients (moisturizers), emulsifiers (cleansers), buffering (denaturators), herbal ingredients-antioxidants, solvents, and moisturizers. A total of 30 different surfactants were identified as the main cleaning ingredient in the examined products. Counterfeit product reporting was especially high on expensive products. No correlation was found between the number of surfactants in the products and the positive effects, such as cleansing and acne reduction and increase, and the negative effects, such as dryness, redness, burning, and smoothing/softening (p>0.05). There was a negative correlation between the cleansing effect of the products and the improvement and worsening of acne(p<0.05, p<0.001, respectively). The bottom line is that a good facial cleansing product doesn't have to contain a lot of chemicals and surfactants. It should be kept in mind that expensive products may be counterfeit and should question whether the product is original or not on the local product detection system from the barcode number.

The Use of Chatbots in Oncological Care: A Narrative Review.

Few reports have investigated chatbots in patient care. We aimed to assess the current applications, limitations, and challenges in the literature on chatbots employed in oncological care. We queried the PubMed database through April 2022 and included studies that investigated the use of chatbots in different phases of oncological care. The search used five different combinations of the specific terms "chatbot", "cancer", "oncology", and "conversational agent". Inclusion criteria were chatbot use in any aspect of oncological care-prevention, patient education, treatment, and surveillance. The initial search yielded 196 records, 21 of which met inclusion criteria. The identified chatbots mostly focused on breast and ovarian cancer (n=8), with the second most common being cervical cancer (n=3). Good patient satisfaction was reported among 14 of 21 chatbots. The most reported chatbot applications were cancer screening, prevention, risk stratification, treatment, monitoring, and management. Of 12 studies examining efficacy of care via chatbot, 9 demonstrated improvements compared to standard care. Chatbots used for oncological care to date demonstrate high user satisfaction, and many have shown efficacy in improving patient-centered communication, accessibility to cancer-related information, and access to care. Currently, chatbots are primarily limited by the need for extensive user-testing and iterative improvement before widespread implementation.

Artificial intelligence assisted telehealth for nursing: A scoping review.

Due to the COVID-19 pandemic, telehealth resurfaced as a convenient efficient healthcare delivery method. Researchers indicate that Artificial Intelligence (AI) could further facilitate delivering quality care in telehealth. It is essential to find supporting evidence to use AI-assisted telehealth interventions in nursing. This scoping review focuses on finding users' satisfaction and perception of AI-assisted telehealth intervention, performances of AI algorithms, and the types of AI technology used. A structured search was performed in six databases, PubMed, CINAHL, Web of Science, OVID, PsycINFO, and ProQuest, following the guidance of the Preferred Reporting Items for Systematic Review and Meta-Analysis Extension for Scoping Reviews. The quality of the final reviewed studies was assessed using the Medical Education Research Study Quality Instrument. Eight of the 41 studies published between 2017 and 2022 were included in the final review. Six studies were conducted in the United States, one in Japan, and one in South Korea. Four studies collected data from participants (n = 3014). Two studies used image data (n = 1986), and two used sensor data from smart homes to detect patients' health events for nurses (n = 35). The quality of studies implied moderate to high-quality study (mean = 10.1, range = 7.7-13.7). Two studies reported high user satisfaction, three assessed user perception of AI in telehealth, and only one showed high AI acceptability. Two studies revealed the high performance of AI algorithms. Five studies used machine learning algorithms. AI-assisted telehealth interventions were efficient and promising and could be an effective care delivery method in nursing.

Wheeled and Seated Mobility Devices Provision: Quantitative Findings and SWOT Thematic Analysis of a Global Occupational Therapist Survey.

To better understand the global role of occupational therapists and explore facilitators and barriers impacting user access to high quality, affordable wheeled and seated mobility device (WSMD) provision worldwide. Mixed-method approach utilizing quantitative findings and qualitative strengths, weaknesses, opportunities, and threats (SWOT) analysis of a global online survey. A total of 696 occupational therapists from 61 countries completed the survey. Almost 49% had 10 or more years of experience with the provision of WSMDs. WSMD provision had positive, significant associations with attainment of certification (0.000), higher service funding (0.000), higher country income (0.001), standardized training (0.003), continuous professional development (0.004), higher experience (0.004), higher user satisfaction (0.032), custom-made device provision (0.038), higher staff capacity (0.040), and more time working with users (0.050); negative, significant associations were identified with high cost of WSMDs (0.006) and pre-made device provision (0.019). SWOT analysis identified high country income, funding, experience, training, certification from global partners, variety of roles and practice settings, and interdisciplinary teamwork as strengths and opportunities for professional growth, while low country income, lack of time/staff capacity/standardization/support services, and poor access to proper devices were indicated as weaknesses and threats. Occupational therapists are skilled healthcare professionals and provide a variety of WSMD services. Efforts to build collaborative partnerships, enhance access to occupational therapists and funding options, improve service and standards for WMSD service delivery, and promote professional development will help to overcome challenges and facilitate WSMD provision globally. Promoting practices based on best available evidence for WSMD provision worldwide should be prioritized.

A User-Centric Evaluation of Smart Home Resolution Approaches for Conflicts Between Routines

With the increasing adoption of smart home devices, users rely on device automation to control their homes. This automation commonly comes in the form of smart home routines, an abstraction available via major vendors. Yet, questions remain about how a system should best handle conflicts in which different routines access the same devices simultaneously. In particular---among the myriad ways a smart home system could handle conflicts, which of them are currently utilized by existing systems, and which ones result in the highest user satisfaction? We investigate the first question via a survey of existing literature and find a set of conditions, modifications, and system strategies related to handling conflicts. We answer the second question via a scenario-based Mechanical-Turk survey of users interested in owning smart home devices and current smart home device owners (N=197). We find that: (i) there is no context-agnostic strategy that always results in high user satisfaction, and (ii) users' personal values frequently form the basis for shaping their expectations of how routines should execute.

PGA: A New Hybrid PSO and GA Method for Task Scheduling with Deadline Constraints in Distributed Computing

Distributed computing, e.g., cluster and cloud computing, has been applied in almost all areas for data processing, while high resource efficiency and user satisfaction are still the ambition of distributed computing. Task scheduling is indispensable for achieving the goal. As the task scheduling problem is NP-hard, heuristics and meta-heuristics are frequently applied. Every method has its own advantages and limitations. Thus, in this paper, we designed a hybrid heuristic task scheduling problem by exploiting the high global search ability of the Genetic Algorithm (GA) and the fast convergence of Particle Swarm Optimization (PSO). Different from existing hybrid heuristic approaches that simply sequentially perform two or more algorithms, the PGA applies the evolutionary method of a GA and integrates self- and social cognitions into the evolution. We conduct extensive simulated environments for the performance evaluation, where simulation parameters are set referring to some recent related works. Experimental results show that the PGA has 27.9–65.4% and 33.8–69.6% better performance than several recent works, on average, in user satisfaction and resource efficiency, respectively.

Labeling Out-of-View Objects in Immersive Analytics to Support Situated Visual Searching.

Augmented Reality (AR) embeds digital information into objects of the physical world. Data can be shown in-situ, thereby enabling real-time visual comparisons and object search in real-life user tasks, such as comparing products and looking up scores in a sports game. While there have been studies on designing AR interfaces for situated information retrieval, there has only been limited research on AR object labeling for visual search tasks in the spatial environment. In this article, we identify and categorize different design aspects in AR label design and report on a formal user study on labels for out-of-view objects to support visual search tasks in AR. We design three visualization techniques for out-of-view object labeling in AR, which respectively encode the relative physical position (height-encoded), the rotational direction (angle-encoded), and the label values (value-encoded) of the objects. We further implement two traditional in-view object labeling techniques, where labels are placed either next to the respective objects (situated) or at the edge of the AR FoV (boundary). We evaluate these five different label conditions in three visual search tasks for static objects. Our study shows that out-of-view object labels are beneficial when searching for objects outside the FoV, spatial orientation, and when comparing multiple spatially sparse objects. Angle-encoded labels with directional cues of the surrounding objects have the overall best performance with the highest user satisfaction. We discuss the implications of our findings for future immersive AR interface design.

Parenting Pain Away: Development and usability testing of an educational website about infant procedural pain management.

All newborns undergo minor painful procedures (e.g., injections). Despite strong evidence supporting parents' efficacy to reduce procedural pain (e.g., breastfeeding), parents remain an underutilized resource. Limited evidence-based resources about infant procedural pain management targeting parents in the perinatal period exist. We co-created Parenting Pain Away, a website to enhance parents' access to information and participation in procedural pain management following birth. This study aimed to conduct iterative usability testing with the perinatal population to refine Parenting Pain Away based on target users' identified needs and satisfaction. In 2020, parents of healthy newborns or expectant parents from an Atlantic Canadian province, participated in two iterative cycles of usability testing of Parenting Pain Away. Through recorded interviews, participants were directed to use the "Think Aloud" approach (e.g., verbalize what they see, think, feel) as they navigated through the website. Participants completed online questionnaires related to demographics and user satisfaction, measured by the Post Study System Usability Questionnaire (PSSUQ). Descriptive statistics and content analysis were conducted to analyze the data. In total, there were 10 participants with an average age of 29.9 years (SD=3.9). Participants identified as mothers (n=7) or fathers (n=3) and were expecting (n=6) or had a newborn (n=4). The PSSUQ overall scores were 1.84 (SD=0.55) and 1.34 (SD=0.49) in Cycles 1 and 2, respectively, indicating high user satisfaction on the 7-point scale. When comparing between the two cycles, the average overall score was lower in Cycle 2, suggesting improved satisfaction. Participants provided positive feedback about the website and suggested major refinements to simplify content and site navigation. Findings from usability testing cycles were used to inform refinements of the Parenting Pain Away in response to participant satisfaction and feedback. Engaging target users in the development process enhanced this website in preparation for further effectiveness testing.

Web-based Guidance for Assisted Reproductive Technology With an Online App (myFertiCare): Quantitative Evaluation With the HOT-fit Framework

Assisted reproductive technologies (ARTs) are considered to be physically and mentally stressful. During their treatment trajectory, couples express high information and communication needs. They appreciate using the internet to obtain fertility-related information. In a previous study, we developed myFertiCare, an eHealth tool providing personalized information and interactive functionalities for infertile couples in order to improve patient-centered care. The app has already been successful in qualitative evaluations of usability. The aim of the current study is to quantitatively evaluate the implementation of myFertiCare by using the human, organizational, and technology-fit (HOT-fit) framework and to study the effects of using myFertiCare on couples' knowledge about infertility, their experience of the burden of infertility, and their experience of patient-centered care. With these results, implementation can be further improved, and patient-centered care can be enhanced. A quantitative study was performed based on the HOT-fit framework using validated questionnaires focusing on the human, organizational, and technology domains. Questions were added on the effect of using myFertiCare on couples' knowledge about infertility and treatment. Questions regarding the burden of infertility, the burden of infertility treatment, and the experience of patient-centeredness were based on the main items of the validated fertility quality of life (FertiQoL) and Patient-Centredness Questionnaire-Infertility questionnaires, respectively. Also, nonusers of the app were included to explore motivations for not using the app and identify opportunities for improvement. Finally, user data were analyzed to provide insight into multiple variables concerning app use. In the human and technology domains, myFertiCare showed good system usability, high user satisfaction, and high information and interface quality. In the organizational domain, implementation was considered to be sufficient by both patients and staff. Use of the app increased knowledge about the treatment, improved coping with the treatment, and enhanced the experience of patient-centeredness. User data showed that women were the main app users and that use of the app gradually declined during the treatment trajectory. A multi-faceted online app, myFertiCare, has been successfully evaluated quantitatively for implementation by using the HOT-fit framework. Use of the app increased knowledge about the treatment, improved coping with the treatment, and enhanced the experience of patient-centeredness. App use could be improved by creating more publicity. By providing myFertiCare, professionals in fertility care are supported in guiding patients through their treatment trajectory and in delivering patient-centered care.

Efficacy of distance training program for cardiopulmonary resuscitation utilizing smartphone application and home delivery system

Aim of the studyCommunity cardiopulmonary resuscitation (CPR) education is important for laypersons. However, during the COVID-19 pandemic, with social distancing, conventional face-to-face CPR training was unavailable. We developed a distance learning CPR training course (HEROS-Remote) using a smartphone application that monitors real-time chest compression quality and a home delivery collection system for mannikins. This study aimed to evaluate the efficacy of the HEROS-Remote course by comparing chest compression quality with that of conventional CPR training. MethodsWe applied layperson CPR education with HEROS-Remote and conventional education in Seoul during the COVID-19 pandemic. Both groups underwent a 2-min post-training chest compression test, and we tested non-inferiority. Chest compression depth, rate, complete recoil, and composite chest compression score was measured. Trainees completed a satisfaction survey on CPR education and delivery. The primary outcome was the mean chest compression depth. ResultsA total of 180 trainees were enrolled, with 90 assigned to each training group. Chest compression depth of HEROS-Remote training showed non-inferiority to that of conventional training (67.4 vs. 67.8, p = 0.78), as well as composite chest compression score (92.7 vs. 95.5, p = 0.16). The proportions of adequate chest compression depth, chest compression rate, and chest compressions with complete chest recoil were similar in both training sessions. In the HEROS-Remote training, 90% of the trainees were satisfied with CPR training, and 96% were satisfied with the delivery and found it convenient. ConclusionHEROS-Remote training was non-inferior to conventional CPR training in terms of chest compression quality. Distance learning CPR training using a smartphone application and mannikin delivery had high user satisfaction and was logistically feasible.

Proof-of-concept testing of a mobile application-delivered mindfulness exercise for emotional eaters: RAIN delivered as a step-by-step image sequence.

Over fifty percent of individuals with overweight and obesity are emotional eaters. Emotional eating can be theorized as a conditioned response to eat for reasons that are not associated with physiological hunger. We conducted this proof-of-concept study to gather evidence that a mobile app that delivers a common non-meditative mindfulness exercise called RAIN, in a step-by-step image sequence can improve emotional eating and other outcomes over a 3-week period. Forty-nine Canadian adults who self reported as emotional eaters (mean age =30.7 years) were recruited through social media and participated in a workshop in which RAIN and its use on the app were introduced. Participants were asked to use the app every time that they experienced a non-homeostatic craving to eat for three weeks. Emotional eating, reactivity to food cravings, perceived loss of control around food, distress tolerance, and eating-specific mindfulness were assessed pre- and post-intervention. Improvements on all outcomes were found (r-range, -0.58 to -0.28). The feasibility of the mobile application was demonstrated by a low attrition rate (8%), high user satisfaction, and strong app engagement metrics. The data provide proof-of-concept evidence that a mobile app that delivers a mindfulness exercise in a step-by-step image sequence has potential to be effective and thus identifies a new approach that may reduce emotional eating in an accessible and affordable manner.