Virtual reality for healthcare: A scoping review of commercially available applications for head-mounted displays.

Objective: This scoping review aimed to describe the scope of commercially available virtual reality (VR) healthcare applications for mainstream head-mounted displays (HMD)s. Methods: A search was conducted during late April and early May 2022 over five major VR app stores using "health," "healthcare," "medicine," and "medical" as keywords. Apps were screened based on their title and description sections. Metadata collected included: title, description, release date, price (free or paid), multilingual support, VR app store availability, and HMD support. Results: The search yielded 1995 apps, out of which 60 met the inclusion criteria. The analysis showed that the number of healthcare VR apps has been steadily increasing since 2016, but no developer has released more than two apps so far. Most of the reviewed apps can run on HTC Vive, Oculus Quest, and Valve Index. Thirty-four (56.7%) apps had a free version, and 12 (20%) apps were multilingual, i.e., supported languages other than English. The reviewed apps fell into eight major themes: life science education (3D anatomy, physiology and pathology, biochemistry, and genetics); rehabilitation (physical, mental, and phobia therapy); public health training (safety, life-saving skills, and management); medical training (surgical and patient simulators); role-playing as a patient; 3D medical imagery viewing; children's health; and online health communities. Conclusions: Although commercial healthcare VR is still in its early phases, end-users can already access a broad range of healthcare VR apps on mainstream HMDs. Further research is needed to assess the usefulness and usability of existing apps.

Cost of bladder cancer in Lebanon before and after the economic collapse: a probabilistic modeling study.

BACKGROUND AND OBJECTIVES: Lebanon has one of the highest incidence rates of bladder cancer (BC) in the world. In 2019, Lebanon's economy collapsed which majorly impacted healthcare costs and coverage. This study assesses the overall direct costs of urothelial BC in Lebanon, from the perspective of public and private third-party payers (TPP) and households, and evaluates the impact of the economic collapse on these costs. METHODS: This was a quantitative, incidence-based cost-of-illness study, conducted using a macro-costing approach. Costs of medical procedures were obtained from the records of various TPPs and the Ministry of Public Health. We modeled the clinical management processes for each stage of BC, and conducted probabilistic sensitivity analyses to estimate and compare the cost of each stage, pre-and post-collapse, and for each payer category. RESULTS: Before the collapse, the total annual cost of BC in Lebanon was estimated at LBP 19,676,494,000 (USD 13,117,662). Post-collapse, the total annual cost of BC in Lebanon increased by 768% and was estimated at LBP 170,727,187,000 (USD 7,422,921). TPP payments increased by 61% whereas out-of-pocket (OOP) payments increased by 2,745% resulting in a decrease in TPP coverage to only 17% of total costs. CONCLUSION: Our study shows that BC in Lebanon constitutes a significant economic burden costing 0.32% of total health expenditures. The economic collapse induced an increase of 768% in the total annual cost, and a catastrophic increase in OOP payments.

Physician eye contact in telemedicine video consultations: A cross-cultural experiment.

INTRODUCTION: Eye contact is generally considered a beneficial non-verbal behavior in patient-physician communication. Physicians are advised to simulate eye contact during video consultations by gazing at the camera, although we lack evidence that doing so is beneficial. This work is a cross-cultural experiment that aims to answer: "Are physicians who gaze at the camera during video consultations perceived as making eye contact, and are their communication skills rated higher?" METHODS: 43 Japanese and 61 Lebanese participants watched videos of physicians providing the same video consultations while gazing at the camera and screen. After watching each video, they rated the physicians' communication skills using six items from the GCRS and the MAAS-G scales. They also picked and justified their preferred physician gaze direction. RESULTS: When physicians gazed at the camera, they were perceived as making more eye contact and received higher communication and interpersonal skills ratings, both in Japan and Lebanon. The effect of gazing at the camera was consistently positive but varied by country and consultation content. In Japan, simulating eye contact improved the ratings of the attentive and caring physician, whereas in Lebanon, it improved the ratings of the tired and inattentive physician. When asked to choose their preferred gaze direction, 88.4% of Japanese and 90.2% of Lebanese participants chose camera gaze over screen gaze due to its positive effect on patient feelings and physician perception. Participants who chose screen gaze noted the unnaturalness of gazing at the camera and its potential negative impact on care quality. CONCLUSION: Physicians providing video consultations can simulate eye contact by gazing at the camera. Doing so improves their communication and interpersonal skills ratings and could potentially enhance their communication with their patients. Mainstream video conferencing platforms could implement gaze correction methods to simulate eye contact without affecting the physicians' experience and capacity to provide quality care.

Data Protection in Healthcare Research: Medical Students' Knowledge and Behavior.

Healthcare research involves handling personal health information. Information security policies are implemented in research institutions to ensure data subjects' rights but are not always respected due to researchers' neglect or unawareness. This paper is part of an action research project at Saint Joseph University in Lebanon aiming to increase researchers' compliance with the university's information security policy. An anonymous online questionnaire was administered to medical students to evaluate their knowledge and behavior regarding patient data handling in research projects. 38 responses were collected. Results show that most students collect patient data for research, and are frequently not aware of, and do not comply with, the existing information security policy. We also found correlations between low knowledge and non-compliant behaviors including clicking on links from unknown senders, leaving computers unattended, and sharing data insecurely. To address these issues, we plan to implement various Information Security Awareness interventions and compare their effectiveness.

Physician Communication Skills in Telemedicine: The Role of Eye Contact.

Gaze is an important non-verbal behavior in patient-physician communication. We examine the effect of the physician's gaze direction in video consultations on their communication and interpersonal skills ratings. 51 subjects watched videos of a physician providing the same teleconsultations while (a) looking directly at the camera and (b) looking at the computer screen. After each video, the participants rated the physician's skills. The results showed that looking at the camera is perceived as making eye contact and is associated with higher ratings on two communication skill items: (1) using empathy to communicate appreciation of the patient's feelings, and (2) providing support by expressing concern, understanding, and willingness to help. The effect of eye contact depended on the content of the consultation and on the general attitude of the physician. These results highlight the role of eye contact in video consultations and its dependency on other verbal and non-verbal behaviors.

Ensuring Care Continuity in Extreme Crises: A Participatory Action Research Approach.

The Lebanese healthcare system has been facing major challenges due to an unprecedented financial crisis, socio-political instability, and the COVID-19 pandemic. This study aims to examine the impact of overlapping major crises on care continuity and to propose IT-based solutions to address current challenges and build future resilience. To this end, we adopted a participatory action research approach and conducted a two-phase qualitative study - six semi-structured interviews followed by three future workshops with local stakeholders including physicians and interns practicing in Lebanon. Through the interviews, we identified the primary consequences of the crises and the ways they impacted the continuity of care. We also identified adaptation mechanisms used by physicians and patients to ensure continuity of care. Through the future workshops, we identified various IT-based solutions that could be implemented to tackle existing challenges and support local adaptation attempts.

Factors Related to Personal Health Data Sharing: Data Usefulness, Sensitivity and Anonymity.

Using an online survey, we examined the relationships between the perceived usefulness, sensitivity, and anonymity of personal health data and people's willingness to share it with researchers. An analysis of 112 responses showed that people's willingness and perceptions are related to the type of the data, their trust in the data's anonymity, and their personal sociodemographic characteristics. In general, we found that people do not completely trust that their identities remain anonymous when sharing data anonymously with researchers. We also found that they are more willing to share personal health data with researchers if they perceive it as useful for public health research, not sensitive, and if they trust that their identity will remain anonymous after sharing it. We also found that people's age, gender, occupation, and region of residence may be related to their perceptions regarding the sharing of personal health data.

Mobile sonouroflowmetry using voiding sound and volume.

Uroflowmetry (UF) is a common clinic-based non-invasive test to diagnose Lower Urinary Tract Dysfunction (LUTD). Accurate home-based uroflowmetry methods are needed to conveniently conduct repeated uroflowmetries when patients are physiologically ready to urinate. To this end, we propose and evaluate a novel mobile sonouroflowmetry (SUF) method that estimates the urinary flow rate from a sound signal recorded using a mobile phone. By linearly mapping the total sound energy to the total voided volume, the sound energy curve is transformed to a flow rate curve allowing the estimation of the flow rate over time. An evaluation using data from 44 healthy young men showed high similarity between the UF and SUF flow rates with a mixed-effects model correlation coefficient of 0.993 and a mean root mean square error of 2.37 ml/s. Maximum flow rates were estimated with an average absolute error of 2.41 ml/s. Future work on mobile uroflowmetry can use these results as an initial benchmark for flow rate estimation accuracy.

Automatic Classification of Screen Gaze and Dialogue in Doctor-Patient-Computer Interactions: Computational Ethnography Algorithm Development and Validation.

BACKGROUND: The study of doctor-patient-computer interactions is a key research area for examining doctor-patient relationships; however, studying these interactions is costly and obtrusive as researchers usually set up complex mechanisms or intrude on consultations to collect, then manually analyze the data. OBJECTIVE: We aimed to facilitate human-computer and human-human interaction research in clinics by providing a computational ethnography tool: an unobtrusive automatic classifier of screen gaze and dialogue combinations in doctor-patient-computer interactions. METHODS: The classifier's input is video taken by doctors using their computers' internal camera and microphone. By estimating the key points of the doctor's face and the presence of voice activity, we estimate the type of interaction that is taking place. The classification output of each video segment is 1 of 4 interaction classes: (1) screen gaze and dialogue, wherein the doctor is gazing at the computer screen while conversing with the patient; (2) dialogue, wherein the doctor is gazing away from the computer screen while conversing with the patient; (3) screen gaze, wherein the doctor is gazing at the computer screen without conversing with the patient; and (4) other, wherein no screen gaze or dialogue are detected. We evaluated the classifier using 30 minutes of video provided by 5 doctors simulating consultations in their clinics both in semi- and fully inclusive layouts. RESULTS: The classifier achieved an overall accuracy of 0.83, a performance similar to that of a human coder. Similar to the human coder, the classifier was more accurate in fully inclusive layouts than in semi-inclusive layouts. CONCLUSIONS: The proposed classifier can be used by researchers, care providers, designers, medical educators, and others who are interested in exploring and answering questions related to screen gaze and dialogue in doctor-patient-computer interactions.

Validity and reliability of an Arabic version of the Sleep Hygiene Index.

AIM: this study aims to assess the reliability and validity of an Arabic version of the Sleep Hygiene Index (SHI). METHODS: A methodological study was carried out in four stages: initial translation by 2 professional translators, evaluation and synthesis of the initial translation by project managers, back-translation and validation. The Arabic (SHI-AR) and English (SHI-ENG) versions of the SHI were administered across Lebanon as an anonymous online survey in April 2020. Internal consistency of the SHI-AR and inter-rater reliability were assessed by calculating Cronbach alpha (α) and Intraclass Correlation Coefficient (ICC) respectively. Inter-rater agreement for each item of the SHI was measured using Cohen's Kappa coefficient. Construct validity was investigated by exploratory factor analysis (EFA). RESULTS: 363 participants were enrolled in the study (129 men, 234 women, mean age 30 ± 11 years). There was no statistically significant difference between mean overall scores on the 2 versions of the SHI with mean scores of 19.16 ± 7.4 and 19.25 ± 7.6 on SHI-AR and SHI-ENG respectively (p = 0.265). Internal consistency was satisfactory (α = 0.749), and the inter-rater agreement for the total scores of the 2 versions of the SHI was excellent (ICC = 0.980). All items of the SHI showed substantial to high level of agreement between the 2 versions. EFA established four factors underlying the questionnaire. CONCLUSION: The Arabic version of the SHI is a valid tool to assess sleep hygiene in Arabic speaking populations.

The Effect of the COVID-19 Pandemic on Physicians' Use and Perception of Telehealth: The Case of Lebanon.

The COVID-19 pandemic forced physicians to quickly adapt and find ways to provide their usual offline services by using online tools. We aimed to understand how physicians adapted to the sudden need for telehealth and if their perception of telehealth changed due to their experience during the COVID-19 pandemic. We conducted an exploratory sequential mixed-methods study. We interviewed five Lebanese physicians and thematically analyzed the interviews. We developed a questionnaire based on the analysis results and administered it online to physicians in Lebanon. In total, 140 responses were collected. We found that, during the COVID-19 pandemic, physicians engaged in more telehealth activities in the realms of telemedicine, public awareness, continuing medical education, research, administration, and teaching. They also expanded their repertoire of information-technology tools. Our results also show that there was a significant shift in the physicians' perceptions, indicating greater openness and willingness to adopt telehealth services. However, a significant amount of skepticism and uncertainty regarding telemedicine remains, especially concerning its efficiency, safety, and the adequacy of existing regulations. Based on our findings, we offer recommendations for health IT policy makers, developers, and researchers, to sustain the continuity of telehealth activities beyond the COVID-19 pandemic.

Visualizing the Cascade Effect of Redesigning Features in an EMR System.

Electronic Medical Record (EMR) systems are complex systems with interdependent features. Redesigning one feature of the system can create a cascade effect affecting the other features. By calculating the cascade effect, the designers can understand how each individual feature could be affected. This understanding allows them to maximize the positive effects and avoid negative consequences of their redesign activities. To understand the cascade effect, the designers can look at their computations' results; a task that becomes more difficult when the number of features grows. To reduce their task load, we propose a tool for visualizing the cascade effect of redesigning features in an EMR system. Our preliminary evaluation with six graduate students shows that visualizing the cascade effect reduces the task load and slightly improves their performance when analyzing the cascade effect. Ways for improving the tool include (i) showing the computation results within the visualization, and (ii) allowing the designers to compare the cascade effect generated by redesigning different features.

Prioritizing Features to Redesign in an EMR System.

Redesigning Electronic Medical Record (EMR) systems is needed to improve their usefulness and usability. For user-centered redesign, designers should consider which EMR features are the most important to the users. However, prioritizing the EMR features is complicated because: (i) EMR systems involve multiple users with different, and sometimes conflicting, priorities and (ii) targeting one feature will affect other features of the EMR system. In this work, we propose a method for prioritizing the features to target when redesigning an EMR system. The method takes into consideration the different priorities of the users and the relationships between the different features. We illustrate the method through a case study on redesigning EMR systems in Japanese antenatal care settings. Our results show the importance of considering the different types of EMR users and the relationships between different EMR features. Designers could use the proposed method as a decision-aid tool in EMR redesign projects.

Understanding the Situated Roles of Electronic Medical Record Systems to Enable Redesign: Mixed Methods Study.

BACKGROUND: Redesigning electronic medical record (EMR) systems is needed to improve their usability and usefulness. Similar to other artifacts, EMR systems can evolve with time and exhibit situated roles. Situated roles refer to the ways in which a system is appropriated by its users, that is, the unintended ways the users engage with, relate to, and perceive the system in its context of use. These situated roles are usually unknown to the designers as they emerge and evolve as a response by the users to a contextual need or constraint. Understanding the system's situated roles can expose the unarticulated needs of the users and enable redesign opportunities. OBJECTIVE: This study aimed to find EMR redesign opportunities by understanding the situated roles of EMR systems in prenatal care settings. METHODS: We conducted a field-based observational study at a Japanese prenatal care clinic. We observed 3 obstetricians and 6 midwives providing prenatal care to 37 pregnant women. We looked at how the EMR system is used during the checkups. We analyzed the observational data following a thematic analysis approach and identified the situated roles of the EMR system. Finally, we administered a survey to 5 obstetricians and 10 midwives to validate our results and understand the attitudes of the prenatal care staff regarding the situated roles of the EMR system. RESULTS: We identified 10 distinct situated roles that EMR systems play in prenatal care settings. Among them, 4 roles were regarded as favorable as most users wanted to experience them more frequently, and 4 roles were regarded as unfavorable as most users wanted to experience them less frequently; 2 ambivalent roles highlighted the providers' reluctance to document sensitive psychosocial information in the EMR and their use of the EMR system as an accomplice to pause communication during the checkups. To improve the usability and usefulness of EMR systems, designers can amplify the favorable roles and minimize the unfavorable roles. Our results also showed that obstetricians and midwives may have different experiences, wants, and priorities regarding the use of the EMR system. CONCLUSIONS: Currently, EMR systems are mainly viewed as tools that support the clinical workflow. Redesigning EMR systems is needed to amplify their roles as communication support tools. Our results provided multiple EMR redesign opportunities to improve the usability and usefulness of EMR systems in prenatal care. Designers can use the results to guide their EMR redesign activities and align them with the users' wants and priorities. The biggest challenge is to redesign EMR systems in a way that amplifies their favorable roles for all the stakeholders concurrently.

Understanding the Roles of EMR Systems in Japanese Antenatal Care Settings.

Electronic Medical Records (EMR)s are intrinsic to modern-day clinics. Understanding the roles, i.e., the unintended functions of EMR systems in their context of use can guide the design of EMR systems and clinics to better integrate them. To understand the roles of EMR systems in antenatal care check-ups, we conducted a field-based observational study at an antenatal care clinic in a Japanese university hospital. We observed 37 antenatal care check-ups where we looked at how the EMR system affects the communication between the involved parties and supports or hinders the clinical process. Our data analysis resulted in 10 EMR roles, namely: the wingman, the third wheel, the accomplice, the bouncer, the messenger, the summarizer, the bureaucrat, the assistant, the gossip, and the alien. Through the roles, this study reveals multiple EMR design considerations and opportunities for improving both the human-EMR and human interactions in antenatal care settings.

Generation of openEHR Test Datasets for Benchmarking.

openEHR is a widely used EHR specification. Given its technology-independent nature, different approaches for implementing openEHR data repositories exist. Public openEHR datasets are needed to conduct benchmark analyses over different implementations. To address their current unavailability, we propose a method for generating openEHR test datasets that can be publicly shared and used.