Designing an mHealth Application to Support Horse Owners in Assessing Their Horse's Health Status - Results of a Usability Test.

INTRODUCTION: Existing research agrees that a well-thought design of the user interface is a key point for an mHealth application for animal owners, supporting them obtain information and make decisions regarding their pet's specific situation. However, there is currently a lack of specific advice on the design of such an application. METHODS: As part of a user-centered design (UCD) process, a formative, explorative usability test with n = 5 users was conducted for collecting design ideas. The test was conducted for two applications that were already available on the market. RESULTS: The need of supporting comprehensive information input in guided processes that can be adapted to the individual level of knowledge, was identified as a key aspect. CONCLUSION: In this paper, recommendations for the design of a suitable user interface are suggested to support application developers and designers.

Never Mind the Codes of Conduct. DARE You to Tackle Ethics in Software Development for eHealth.

Currently, there are no adequate methods for dealing with changes in the healthcare system brought about by electronic health applications (eHealth) or the associated ethical implications in practice. This can be attributed to the lack of comprehensive interdisciplinary approaches that could support teams in integrating ethical considerations into the agile software development process. To close this gap, the DARE approach has been developed and tested in interdisciplinary collaborative research. The DARE method is a modular system designed to improve the development of ethically sound software in a deliberative, agile, and responsive manner.

Challenges Implementing Patient and Public Involvement in a Digital Health Agile Project Which Includes Research, Business and Software Development.

Patient and public involvement (PPI) is a practice for involving future users in the design, development, and research of health technologies. There is increasing interest and demand for PPI, but little evidence based methodological support for integrating PPI in agile development processes. Multiple sclerosis (MS) is a chronic condition that severely impacts the lives of patients and requires active patient involvement. In this paper, we present the results of a case study, examining the adoption and integration of PPI into the development of a digital therapeutics solution for MS. The results highlight five critical phases that proved to be challenging: selecting patient participants, onboarding of patient participants and employees, framing tasks for patient participants, communication between patient participants and the rest of the development team, and reimbursements. The results are useful in creating evidence-based guidelines and methods for supporting the adoption of PPI.

Development of a Mental Health Apps Recommender Platform.

INTRODUCTION: The aim of the paper is to establish the requirements and methodology for the development and implementation of a recommender system for mental health apps to support patients in self-managing their mental health while awaiting formal treatment. METHODS: The system was developed using an algorithm-based approach, including: (1) user needs assessment through literature review and interviews with various stakeholders, (2) software modelling and prototype creation, and (3) bench testing of the prototype with health experts and users. RESULTS: Based on initial exploration of users' requirements, relevant standards and regulations, a library of trusted mental health apps was compiled and a recommendation engine was built to generate accurate user profiles and deliver personalised health recommendations, which will be further tested to ensure quality. CONCLUSION: Developing a constructive mental health recommendation system requires the establishment of clear and comprehensive requirements, as well as a robust methodology adressing concerns related to data security, confidentiality, safety, and reliability. Subsequent research may compare various indicators of mental health outcomes at the start and end of patients' waiting period to gain more insights into how the recommender system could be further improved to enhance user experience and their overall well-being.

Rehab-AMD: co-design of an application for visual rehabilitation and monitoring of Age-related Macular Degeneration.

BACKGROUND: The increasing demand for remote medical care, driven by digital healthcare advancements and the COVID-19 pandemic, necessitates effective solutions tailored to patients and healthcare practitioners. Co-design, involving collaboration between software developers, patients, and healthcare practitioners, prioritizes end-user needs. Research indicates that integrating patient perspectives enhances user experience and usability. However, its application in healthcare has been limited to small projects. This work focuses on co-designing a technological solution to enhance the monitoring and visual rehabilitation of individuals with Age-Related Macular Degeneration (AMD), a condition that significantly impacts the quality of life in people over 60. Current vision rehabilitation systems lack personalization, motivation, and effective progress monitoring. Involving patients and healthcare practitioners in the design process aims to ensure the final product meets their needs. METHODS: The project employs iterative and collaborative principles, involving a vision rehabilitation expert and two AMD patients as active users in the application's development and validation. The process begins by establishing requirements for user accounts and rehabilitation exercises. It continues with an initial approach extended through user validation. Co-design is facilitated by specific workshops marking each project iteration, totaling four workshops, along with continuous communication sessions between experts and developers to validate design decisions. Initial requirements gathering and constant feedback from end-users, the visual rehabilitator, and patients are crucial for refining the product effectively. RESULTS: The workshops produced a prototype featuring a test to monitor changes and progression and 15 visual rehabilitation exercises. Numerous patient and vision rehabilitation-driven software modifications led to a final design that is responsive and adaptive to end-user needs. CONCLUSIONS: The Rehab-AMD pilot project aims to develop a collaborative and adaptive software solution for AMD rehabilitation by actively involving stakeholders and applying iterative design principles. Co-design in the Rehab-AMD solution proves to be a methodology that identifies usability issues and needs from the initial design stages. This approach ensures that software developers create a final product that is genuinely useful and manageable for people with AMD and the targeted vision rehabilitators.

Design specifications and capabilities of a 3D simulation software for clinical education of physiotherapy students in the neurology department.

INTRODUCTION: In this revolutionized era, thanks to cutting-edge technological breakthroughs like 3-dimensional (3D) computerized environments, physiotherapy trainers can improve their knowledge and confidence by using such training tools. Hence, there is room for developing these technologies for training medical students to expand their skills and expertise. This study aims to identify the design requirements and key functionalities of a 3D simulation software for the clinical education of physiotherapy students in neurology departments. METHOD: First, by carefully reviewing neurological books, scientific articles, curriculum, and medical records, and consulting with experts, a scenario was compiled. In the next step, a researcher-developed questionnaire was designed. Then, experts' opinions were considered to confirm the validity and reliability of the questionnaire. The designed questionnaire was distributed among several neurological physiotherapists. Finally, the information elements, contents, and functional capabilities of the 3D software were determined by analyzing the data obtained from the questionnaire. FINDINGS: The main components for the design of physiotherapy educational software were identified based on the findings of the literature review, curriculum analysis, and medical record review. A survey of physiotherapy professors was conducted using a questionnaire created by the researcher in order to enhance the capabilities of simulation software and ascertain its primary functions. Following an analysis of the data from the distributed questionnaire, 37 essential features and contents have been proven to be more crucial than the rest for the creation of 3D simulation software. As a result, the essential and fundamental needs for the patient's training in reading their medical records and performing muscle strength assessments were recognized and extracted. Based on these findings, a researcher-developed scenario for the various real cases was then established. In the patient's medical record reading scenario, the student is required to read the patient's record in text format. Similarly, in the section on cranial nerves, pictures are utilised to reinforce the student's assessment skills in addition to textual content. Together with the audio and pop-up texts, the simulated 3D environment also offers training for the assessment of muscle strength. CONCLUSION: As an educational tool, this software can enhance students' learning and assist in addressing the drawbacks of conventional teaching methods like lectures and hospital visits.

Development and Evaluation of a Software Designed by a Nursing and Technology Team to Assess the Health Status of Adults over 65 Years of Age.

Objective: This work sought to develop the Actuasalud platform as a useful tool for nursing that permits assessing health, in term of frailty, in population over 65 years of age. Methods: For the design and development of Actuasalud, two working groups were formed: one from nursing with different profiles, to identify the scientific content and a computer science group responsible for the software programming and development. Both teams adapted the scientific content to the technology so that the tool would allow for population screening with detection of health problems and frailty states. Results: The software was developed in three large blocks that include all the dimensions of frailty: a: sociodemographic variables, b: comorbidities, and c: assessment tools of autonomy-related needs that evaluate the dimensions of frailty. At the end of the evaluation, a detailed report is displayed through bar diagram with the diagnosis of each of the dimensions assessed. The assessment in the participating elderly showed that 44.7% (n = 38) of the population was considered not frail, and 55.3%; (n = 47) as frail. Regarding associated pathologies, high blood pressure (67.1%; n = 57), osteoarthritis and/or arthritis (55.3%; n = 47), diabetes (48.2%; n = 41) and falls during the last year (35.3%; n = 30) were highlighted. Conclusion: Actuasalud is an application that allows nursing professionals to evaluate frailty and issue a quick diagnosis with ordered sequence, which helps to provide individualized care to elderly individuals according to the problems detected during the evaluation.

[Supporting medical and nursing activities with AI: recommendations for responsible design and use]. / Unterstützung ärztlicher und pflegerischer Tätigkeit durch KI: Handlungsempfehlungen für eine verantwortbare Gestaltung und Nutzung.

Clinical decision support systems (CDSS) based on artificial intelligence (AI) are complex socio-technical innovations and are increasingly being used in medicine and nursing to improve the overall quality and efficiency of care, while also addressing limited financial and human resources. However, in addition to such intended clinical and organisational effects, far-reaching ethical, social and legal implications of AI-based CDSS on patient care and nursing are to be expected. To date, these normative-social implications have not been sufficiently investigated. The BMBF-funded project DESIREE (DEcision Support In Routine and Emergency HEalth Care: Ethical and Social Implications) has developed recommendations for the responsible design and use of clinical decision support systems. This article focuses primarily on ethical and social aspects of AI-based CDSS that could have a negative impact on patient health. Our recommendations are intended as additions to existing recommendations and are divided into the following action fields with relevance across all stakeholder groups: development, clinical use, information and consent, education and training, and (accompanying) research.

Navigating Alert Fatigue: A Case Study in Electronic Health Record Alert Design Optimization.

Clinical decision support (CDS) systems play a crucial role in enhancing patient outcomes, but inadequate design contributes to alert fatigue, inundating clinicians with disruptive alerts that lack clinical relevance. This case study delves into a quality improvement (QI) project addressing nursing electronic health record (EHR) alert fatigue by strategically redesigning four high-firing/low action alerts. Employing a mixed-methods approach, including quantitative analysis, empathy mapping sessions, and user feedback, the project sought to understand and alleviate the challenges posed by these alerts. Virtual empathy mapping sessions with clinical nurses provided valuable insights into user experiences. Qualitative findings, CDS design principles, and organizational practice expectations informed the redesign process, resulting in the removal of all four identified disruptive alerts and redesign of passive alerts. This initiative released 877 unactionable disruptive nursing hours, emphasizing the significance of proper alert design and the necessity for organizational structures ensuring sustained governance in healthcare system optimization.

Clinicians Leading the Design of a Patient App.

This case study describes the development of a patient facing app to aid the collection of accurate data for nursing assessment for care pathways. The project was led by service leads in co-production with a small supplier. Apps can be a user-friendly solution which enhance patient-centred care and significantly reduce service admin time. The impact shows that the innovation achieved to solve the problems identified at the outset. Digital health innovations are more successful with the engagement of users, and the authors want to encourage colleagues and services across the NHS to lead digital innovation in this case study.

[Analysis of Field Inspection Issues and Some Suggestions for Software as Medical Device].

With the encouragement of policies and the rapid development of the biopharmaceutical industry, the number of software as medical device (SaMD) registration applications in Shanghai has continued to increase in recent years, and this paper summarizes the GMP nonconformities found in the field inspection of SaMD in Shanghai from 2020 to 2023, and the results show that nearly 70% of the problems were found in the software development process. Through in-depth analysis, this paper proposes the corresponding countermeasures for the problems found in the five most common stages such as software requirements, software design, software testing, software defect management and software configuration management, combined with the characteristics of software development. These suggested measures have certain reference significance for medical device software development and quality control personnel, and technical reviewer and inspectors.

Design and evaluation of a colon cancer mobile application.

BACKGROUND: Colorectal cancer (CRC) is the third leading cause of cancer and the second cause of cancer-related deaths in the world. Despite the infrastructure and the availability of organized screening programs, participation in their screening programs is less than the set goals. Considering the importance of informing the society about the prevention and early detection of colorectal cancer symptoms and the positive impact of mobile health technologies, the present research was conducted with the aim of designing and evaluating a colon cancer mobile application. METHODS: The present research was conducted in two phases: software design and evaluation. In the first phase, the software was prepared using the cascade method. First, all the educational content related to colorectal cancer was collected through an expert panel with the participation of 10 specialists. Then the software was evaluated with alpha and beta testing, and the initial version was approved by users in terms of simplicity and usability. In the second phase, a parallel clinical randomized trial study was conducted with the aim of investigating the effect of a colon cancer mobile application on the early detection of colorectal cancer. In this stage, 204 volunteers participated; inclusion criteria were age 18-85 years, owning a smartphone and the ability to read and write. Participants were randomized into control and intervention groups. The intervention group was educated with the colon cancer application for education about colorectal cancer, and the control group was educated with a pamphlet. After education, both groups were screened for colorectal cancer symptoms, and the results were compared. RESULTS: In the software evaluation phase, the application was used by 204 users. In this stage, 84 (41.2%) women and 120 (58.8%) men, with an average (Standard Deviation) age of 47.53 (13.68) participated. Participants were randomized in two groups, 103 people with an average (Standard Deviation) age of 47.62 (14.65) in intervention group and 101 people with an average (Standard Deviation) age of 47.44 (12.70) in control group. There were no significant differences between the demographic characteristics of age, gender, marriage, occupation, instruction level, digestive disease history, cancer history, cancer risk factors, and family history of cancer between the two groups (P > 0.05). The Mann-Whitney U test indicated that there is a significant difference between the two groups of participants in self-assessment, willingness to do the screening, and the results of the assessment of colorectal cancer (P < 0.05). CONCLUSION: The results of the research indicated the positive impact of the Colon Cancer Application on the abilities of the users of self-assessment of colon cancer. Therefore, based on the findings, it can be concluded that the use of the colon cancer mobile application is effective for colon cancer prevention and self-care. TRIAL REGISTRATION: This study was registered in the Iranian Registry of Clinical Trials ( https://irct.behdasht.gov.ir ) on 13/2/2024, with the IRCT ID: IRCT20210131050189N9.

FAIR-USE4OS: Guidelines for creating impactful open-source software.

This paper extends the FAIR (Findable, Accessible, Interoperable, Reusable) guidelines to provide criteria for assessing if software conforms to best practices in open source. By adding "USE" (User-Centered, Sustainable, Equitable), software development can adhere to open source best practice by incorporating user-input early on, ensuring front-end designs are accessible to all possible stakeholders, and planning long-term sustainability alongside software design. The FAIR-USE4OS guidelines will allow funders and researchers to more effectively evaluate and plan open-source software projects. There is good evidence of funders increasingly mandating that all funded research software is open source; however, even under the FAIR guidelines, this could simply mean software released on public repositories with a Zenodo DOI. By creating FAIR-USE software, best practice can be demonstrated from the very beginning of the design process and the software has the greatest chance of success by being impactful.

Agile eHealth Usability Evaluation: A Triangulative Approach to Promoting the Usability of eHealth Systems.

BACKGROUND: Usability evaluation is difficult to reconcile with agile software development for eHealth systems, because traditional usability evaluation is often complex and cumbersome to implement. However, obtaining prospective users' feedback during agile software development is crucial for improving the usability of eHealth systems, which is why there is an increasing need for agile eHealth usability evaluation. OBJECTIVE: This study investigates whether agile usability evaluations are suitable to evaluate patient-centered eHealth systems being agile developed in health care and are applicable for prospective users, such as older persons suffering from age-related declines. METHODS: A triangulation study was conducted combining iterative expert interviews with an exploratory case study. RESULTS: The triangulation study revealed that the implementation of an agile eHealth usability evaluation with prospective users such as older persons proved to be possible. CONCLUSION: Established eHealth usability evaluation methods must be further evolved to address age-related impairments of older persons.

A flowchart for adequate controls in virus-based monosynaptic tracing experiments identified Cre-independent leakage of the TVA receptor in RΦGT mice.

BACKGROUND: A pseudotyped modified rabies virus lacking the rabies glycoprotein (G-protein), which is crucial for transsynaptic spread, can be used for monosynaptic retrograde tracing. By coupling the pseudotyped virus with transgene expression of the G-protein and the avian leukosis and sarcoma virus subgroup A receptor (TVA), which is necessary for cell entry of the virus, researchers can investigate specific neuronal populations. Responder mouse lines, like the RΦGT mouse line, carry the genes encoding the G-protein and TVA under Cre-dependent expression. These mouse lines are valuable tools because they reduce the number of viral injections needed compared to when using helper viruses. Since RΦGT mice do not express Cre themselves, introducing the pseudotyped rabies virus into their brain should not result in viral cell entry or spread. RESULTS: We present a straightforward flowchart for adequate controls in tracing experiments, which we employed to demonstrate Cre-independent expression of TVA in RΦGT mice. CONCLUSIONS: Our observations revealed TVA leakage, indicating that RΦGT mice should be used with caution for transgene expression of TVA. Inaccurate tracing outcomes may occur if TVA is expressed in the absence of Cre since background leakage leads to nonspecific cell entry. Moreover, conducting appropriate control experiments can identify the source of potential caveats in virus-based neuronal tracing experiments.

[Design and evaluation options of multimedia applications to support the care of people with mild dementia]. / Gestaltungs- und Evaluationsmöglichkeiten von Multimediaanwendungen zur Unterstützung der Betreuung von Menschen mit leichter Demenz.

BACKGROUND: In order to cognitively and physically activate people with dementia (MMD) in institutional settings, there are numerous touch-based multimedia applications specifically designed for this target group that are actually being used in practice. In contrast, the use of similar applications in domestic settings has been relatively limited. AIM AND METHOD: This study is based on 11 expert interviews guided by questions and examines design options and requirements for application content as well as requirements for study designs to provide evidence of the effectiveness of touch-based multimedia applications for MMD and their caregiving relatives (PA). RESULTS: There is a high degree of consensus regarding the criteria for requirements for touch-based multimedia applications. Acceptance is highly dependent on user competence, usage practices, experiences and incentive structures; however, there are diverse opinions about their structural and content-related design. The quality of life is mentioned as an essential evaluation parameter for multimedia applications. DISCUSSION: The highly variable individual life circumstances of MMD and their PAs, along with limited access options and a lack of suitability of the multimedia applications, may be causal factors for their relatively limited use, especially in domestic settings. Daily performance capabilities and individual disease progression pose special requirements for the scientific evaluation and the demonstration of the effectiveness of touch-based multimedia applications.

Focal electroclinical features in generalized tonic-clonic seizures: Decision flowchart for a diagnostic challenge.

OBJECTIVE: Bilateral tonic-clonic seizures with focal semiology or focal interictal electroencephalography (EEG) can occur in both focal and generalized epilepsy types, leading to diagnostic errors and inappropriate therapy. We investigated the prevalence and prognostic values of focal features in patients with idiopathic generalized epilepsy (IGE), and we propose a decision flowchart to distinguish between focal and generalized epilepsy in patients with bilateral tonic-clonic seizures and focal EEG or semiology. METHODS: We retrospectively analyzed video-EEG recordings of 101 bilateral tonic-clonic seizures from 60 patients (18 with IGE, 42 with focal epilepsy). Diagnosis and therapeutic response were extracted after ≥1-year follow-up. The decision flowchart was based on previous observations and assessed concordance between interictal and ictal EEG. RESULTS: Focal semiology in IGE was observed in 75% of seizures and 77.8% of patients, most often corresponding to forced head version (66.7%). In patients with multiple seizures, direction of head version was consistent across seizures. Focal interictal epileptiform discharges (IEDs) were observed in 61.1% of patients with IGE, whereas focal ictal EEG onset only occurred in 13% of seizures and 16.7% of patients. However, later during the seizures, a reproducible pattern of 7-Hz lateralized ictal rhythm was observed in 56% of seizures, associated with contralateral head version. We did not find correlation between presence of focal features and therapeutic response in IGE patients. Our decision flowchart distinguished between focal and generalized epilepsy in patients with bilateral tonic-clonic seizures and focal features with an accuracy of 96.6%. SIGNIFICANCE: Focal semiology associated with bilateral tonic-clonic seizures and focal IEDs are common features in patients with IGE, but focal ictal EEG onset is rare. None of these focal findings appears to influence therapeutic response. By assessing the concordance between interictal and ictal EEG findings, one can accurately distinguish between focal and generalized epilepsies.

[Implementation and Effectiveness of Measures to Prevent Recurrence of Incidents Developed through Root Cause Analysis Using Work Flowchart].

PURPOSE: Incidents are recommended to be analyzed by root cause analysis (RCA). Our institution also conducts RCA for incidents and takes measures to prevent recurrence. The purpose of this study was to evaluate the effectiveness of countermeasures against the root causes analyzed by RCA in order to prevent recurrence of incidents. METHODS: Since the treatment planning CT scanner was replaced, incidents of failure to zero adjustment the coordinates of the bed position occurred four times during a three-month period. The RCA was used to investigate the root causes of these incidents and to formulate measures to prevent recurrence. To evaluate the effectiveness of the recurrence prevention measures, we collected the number of recurrence of incidents during the first year after the effectiveness of the recurrence prevention measures, and used the chi-square test to determine the significant difference in the probability of an incident occurring at a significance level of 5% or less. RESULTS: The measures to prevent the recurrence of incidents were to double-check that the coordinates of the bed position were adjusted to zero and to simulate operations based on a work flow that incorporated this double-check. During the first year period following the implementation of these recurrence prevention measures, the number of recurrence incidents was zero, and the probability of their occurrence decreased statistically significantly (p<0.05). CONCLUSION: Thorough double-checks and work simulation based on the work flow are effective methods for preventing the recurrence of incidents.

Effectiveness and Utility of Flowcharts on Learning in a Classroom Setting: A Mixed-Methods Study.

OBJECTIVE: Graphical representation of information organizes and promotes meaningful learning. As an example of graphical organizers, flowcharts can simplify and summarize complex information. The evidence of classroom use of flowcharts as an instructional tool is unclear. We investigated the effectiveness of flowcharts on student learning as an in-class instructional tool in a cardiovascular therapeutic course. Student experiences with the use and application of flowcharts were explored. METHODS: An explanatory sequential mixed-methods study was conducted with pharmacy students enrolled in an acute-care cardiovascular course from 2019-2021. The quantitative phase comprised a survey to determine flowchart effectiveness and a comparison of student performance in three content areas. The qualitative phase of the study used focused group interviews to understand student perceptions of flowchart use. RESULTS: Survey results indicated that using flowcharts improved understanding (110/128, 86%), integration of material (114/128, 89%), and overall knowledge (111/128, 87%). Student performance in the 3 content areas, shock, arrhythmia, and acute coronary syndrome were statistically significant with flowcharts implementation. Emerging themes from student interviews were (1) used as a medium for retention and recall, (2) used as a study tool, and (3) used as a decision-making framework. CONCLUSION: Flowcharts provide an alternative approach to teaching complex content, which allows students to organize and summarize information that promotes meaningful learning. The ease of implementation combined with the generalized nature of flowcharts makes it an effective graphical organizer that can be used across various disciplines.

Designing the Continuous Glucose Monitor Experience: An App Design Process Overview.

Users of continuous glucose monitors (CGMs) experience the product in part through software. Smartphone and watch apps empower people affected by diabetes to make real-time treatment decisions based on glucose readings and aggregate data such as medication, nutrition, and activity information. As CGMs evolve and gain greater market adoption, there's opportunity for these apps to play a greater role in users' lives and diabetes management. To do so, designers should follow the best practices established by the broader technology community and apply them to the needs of this community. The process of thorough discovery research, clear problem definition, iterative design, and testing can lower barriers toward broader adoption, and favorably influence the health of users through their mobile apps.