Generative artificial intelligence in healthcare: A scoping review on benefits, challenges and applications.

BACKGROUND: Generative artificial intelligence (GAI) is revolutionizing healthcare with solutions for complex challenges, enhancing diagnosis, treatment, and care through new data and insights. However, its integration raises questions about applications, benefits, and challenges. Our study explores these aspects, offering an overview of GAI's applications and future prospects in healthcare. METHODS: This scoping review searched Web of Science, PubMed, and Scopus . The selection of studies involved screening titles, reviewing abstracts, and examining full texts, adhering to the PRISMA-ScR guidelines throughout the process. RESULTS: From 1406 articles across three databases, 109 met inclusion criteria after screening and deduplication. Nine GAI models were utilized in healthcare, with ChatGPT (n = 102, 74 %), Google Bard (Gemini) (n = 16, 11 %), and Microsoft Bing AI (n = 10, 7 %) being the most frequently employed. A total of 24 different applications of GAI in healthcare were identified, with the most common being "offering insights and information on health conditions through answering questions" (n = 41) and "diagnosis and prediction of diseases" (n = 17). In total, 606 benefits and challenges were identified, which were condensed to 48 benefits and 61 challenges after consolidation. The predominant benefits included "Providing rapid access to information and valuable insights" and "Improving prediction and diagnosis accuracy", while the primary challenges comprised "generating inaccurate or fictional content", "unknown source of information and fake references for texts", and "lower accuracy in answering questions". CONCLUSION: This scoping review identified the applications, benefits, and challenges of GAI in healthcare. This synthesis offers a crucial overview of GAI's potential to revolutionize healthcare, emphasizing the imperative to address its limitations.

The most used questionnaires for evaluating the usability of robots and smart wearables: A scoping review.

Background: As the field of robotics and smart wearables continues to advance rapidly, the evaluation of their usability becomes paramount. Researchers may encounter difficulty in finding a suitable questionnaire for evaluating the usability of robotics and smart wearables. Therefore, the aim of this study is to identify the most commonly utilized questionnaires for assessing the usability of robots and smart wearables. Methods: A comprehensive search of databases, including PubMed, Web of Science, and Scopus, was conducted for this scoping review. Two authors performed the selection of articles and data extraction using a 10-field data extraction form. In cases of disagreements, a third author was consulted to reach a consensus. The inclusions were English-language original research articles that utilized validated questionnaires to assess the usability of healthcare robots and smart wearables. The exclusions comprised review articles, non-English publications, studies not focused on usability, those assessing clinical outcomes, articles lacking questionnaire details, and those using non-validated or researcher-made questionnaires. Descriptive statistics methods (frequency and percentage), were employed to analyze the data. Results: A total of 314 articles were obtained, and after eliminating irrelevant and duplicate articles, a final selection of 50 articles was included in this review. A total of 17 questionnaires were identified to evaluate the usability of robots and smart wearables, with 10 questionnaires specifically for wearables and 7 questionnaires for robots. The System Usability Scale (50%) and Post-Study System Usability Questionnaire (19.44%) were the predominant questionnaires utilized to assess the usability of smart wearables. Moreover, the most commonly used questionnaires for evaluating the usability of robots were the System Usability Scale (56.66%), User Experience Questionnaire (16.66%), and Quebec User Evaluation of Satisfaction with Assistive Technology (10%). Conclusion: Commonly employed questionnaires serve as valuable tools in assessing the usability of robots and smart wearables, aiding in the refinement and optimization of these technologies for enhanced user experiences. By incorporating user feedback and insights, designers can strive towards creating more intuitive and effective robotic and wearable solutions.

Evaluating the effects of mobile application-based rehabilitation on improving disability and pain in patients with disputed thoracic outlet syndrome: A randomized controlled trial.

BACKGROUND: Disputed thoracic outlet syndrome (D.TOS) stands as one of the primary global contributors to physical disability, presenting diagnostic and treatment challenges for patients and frequently resulting in prolonged periods of pain and functional impairment. Mobile applications emerge as a promising avenue in aiding patient self-management and rehabilitation for D.TOS. This study aimed to investigate the impact of a certain mobile application-based rehabilitation on pain relief and the improvement of disability in patients experiencing D.TOS. METHODS: Eighty-eight patients diagnosed with D.TOS randomized 1:1 to either the control group (n = 44) or the intervention group (n = 44). Participants in the control group were provided with a brochure containing standard rehabilitation exercise instructions, a written drug prescription from the physician, and guidance on recommended physical activity levels, including home exercises. In contrast, all participants in the intervention group used the mobile application. Disability and pain levels in patients were assessed after six weeks in both groups. RESULT: Both groups improved pain and disability based on the scaled measurements. According to the questionnaire scale, the intervention group showed a considerable decline in disability; however, there was a significant difference in just one question (P < 0.05). Furthermore, the intervention group showed significant improvement in neck pain NRS (p = 0.024) compared to the control. Based on the shoulder and head pain numeric rate scale (NRSs), both groups showed improvement in disability conditions; but there were no significant differences between the groups (p > 0.05). CONCLUSION: Mobile applications are promising tools for alleviating disabilities and pain in patients with musculoskeletal conditions. This study confirmed the potential of mobile technology to enhance active and corrective physical activity, thereby reducing pain in patients with D.TOS. TRIAL REGISTRATION: Iranian Registry of Clinical Trials (IRCT) with the identifier IRCT20141221020380N3 (http://www.irct.ir/).

Efficacy of virtual reality-based training programs and games on the improvement of cognitive disorders in patients: a systematic review and meta-analysis.

INTRODUCTION: Cognitive impairments present challenges for patients, impacting memory, attention, and problem-solving abilities. Virtual reality (VR) offers innovative ways to enhance cognitive function and well-being. This study explores the effects of VR-based training programs and games on improving cognitive disorders. METHODS: PubMed, Scopus, and Web of Science were systematically searched until May 20, 2023. Two researchers selected and extracted data based on inclusion and exclusion criteria, resolving disagreements through consultation with two other authors. Inclusion criteria required studies of individuals with any cognitive disorder engaged in at least one VR-based training session, reporting cognitive impairment data via scales like the MMSE. Only English-published RCTs were considered, while exclusion criteria included materials not primarily focused on the intersection of VR and cognitive disorders. The risk of bias in the included studies was assessed using the MMAT tool. Publication bias was assessed using funnel plots and Egger's test. The collected data were utilized to calculate the standardized mean differences (Hedges's g) between the treatment and control groups. The heterogeneity variance was estimated using the Q test and I2 statistic. The analysis was conducted using Stata version 17.0. RESULTS: Ten studies were included in the analysis out of a total of 3,157 retrieved articles. VR had a statistically significant improvement in cognitive impairments among patients (Hedges's g = 0.42, 95% CI: 0.15, 0.68; p_value = 0.05). games (Hedges's g = 0.61, 95% CI: 0.30, 0.39; p_value = 0.20) had a more significant impact on cognitive impairment improvement compared to cognitive training programs (Hedges's g = 0.29, 95% CI: -0.11, 0.69; p_value = 0.24). The type of VR intervention was a significant moderator of the heterogeneity between studies. CONCLUSION: VR-based interventions have demonstrated promise in enhancing cognitive function and addressing cognitive impairment, highlighting their potential as valuable tools in improving care for individuals with cognitive disorders. The findings underscore the relevance of incorporating virtual reality into therapeutic approaches for cognitive disorders.

Health challenges and facilitators of arbaeen pilgrimage: a scoping review.

BACKGROUND: The Arbaeen Pilgrimage, a momentous religious journey drawing millions of participants annually, presents a profound spiritual experience. However, amidst its significance lie various health challenges that pilgrims encounter along the way. Addressing these challenges is vital to ensure the well-being of participants and the success of this extraordinary event. In light of this, the aim of this study is to examine the health challenges of the Arbaeen Pilgrimage, identify facilitators for solving these challenges, and propose effective solutions to enhance the overall pilgrimage experience for all involved. METHODS: The scoping review was performed by searching databases such as Web of Science, PubMed, Scopus, and Google Scholar search engine with a focus on the keywords "Arbaeen", "Arbaeen walk" and "Arbaeen pilgrimage". The search was not constrained by a specific time limitation in the databases. Data from studies were extracted using a data extraction form consisting of 9 fields. The selection of articles and data extraction were carried out by two researchers, adhering to predefined inclusion and exclusion criteria. Any disagreements were resolved through consultation with a third researcher. The study was reported following the PRISMA checklist. RESULTS: Out of 1619 retrieved articles, 9 were finally included in this study. All these studies were published since 2017 and conducted in Iraq and Iran. In total, 101 health challenges and facilitators were identified, comprising 61 challenges and 40 facilitators. The challenges with the highest frequency included "infectious disease outbreaks" (n = 7), "Poor management of Iraq's health system in waste collection and disposal" (n = 4), "Rising incidence of walking injuries among pilgrims (e.g., burns, fractures, lacerations, wounds, and blisters)" (n = 4), and "Insufficient knowledge about personal and public health"(n = 4). The most important facilitators to solving the challenges were: "Customized pilgrim training and addressing their issues, with a focus on vital practices" (n = 6), "Coordinating mass gathering stakeholders, including health ministries and organizations" (n = 4), and "Implementing an agile syndromic system for rapid surveillance and identification of contagious illnesses" (n = 4). CONCLUSION: The article discusses health challenges faced during the Arbaeen Pilgrimage and proposes facilitative measures for participants' well-being. It emphasizes the significance of addressing health risks in large gatherings and suggests incorporating measures for a safer and enjoyable pilgrimage experience. Overall, understanding and managing these health factors can lead to a successful execution of the Arbaeen Pilgrimage, benefiting the physical and spiritual well-being of all involved.

The effect of the holy Quran recitation and listening on anxiety, stress, and depression: A scoping review on outcomes.

Background and Aim: Anxiety, stress, and depressive disorders as common mental health problems have adverse effects in different populations. Holy Quran recitation and listening can help reduce these disorders. Therefore, the aim of this study was to investigate the effect of the Holy Quran on anxiety, stress, and depression. Materials and Methods: To retrieve eligible studies, we searched PubMed, Web of Science, and Scopus databases. The articles were screened and chosen by three researchers. The selection of studies and the data extraction from the studies were done by three researchers using the data collection form based on the inclusion and exclusion criteria. Disagreements were resolved by consulting the third and fourth researchers. To report scoping review, we used the PRISMA cheklist. Results: A total of 174 articles were retrieved from three databases and after removing irrelevant and repetitive articles, 15 articles were included in the current review. All studies were performed in Asia countries. Most studies have examined the effect of Holy Quran recitation and listening on anxiety (45%), stress (30%), and then depression (25%), respectively. The Beck Depression Inventory was the most widely used tool to evaluate the effect of Holy Quran recitation and listening on reducing anxiety, depression and stress. "Reducing the level of anxiety, stress, and depression" and "Simple, affordable, practical and cost-effective treatment to reduce depression and anxiety" were the most important outcomes of holy Quran recitation. Conclusions: Based on the results of this study, Quran recitation and listening can be applied as a useful nonpharmacological treatment to reduce anxiety, stress, and depression.

The Impact of Health Technologies on Ostomy Care: A Systematic Review of Health Technologies Impact on Ostomy Care.

PURPOSE: The purpose of this systematic review was to evaluate studies in which health information technology was used to improve ostomy care and management. METHODS: Systematic literature review. SEARCH STRATEGIES: The review was performed according to PRISMA Guidelines. Three scientific databases, Scopus, PubMed, and Web of Science, were searched with no time limitation using key words related to information technology and ostomy. The selection of articles and data collection were carried out by 2 reviewers and disagreements were resolved via discussion with a third, independent reviewer. FINDINGS: The initial search of electronic databases retrieved 1679 elements; following removal of duplicate records, title and abstract review, and articles read in full for inclusion/exclusion criteria, 10 articles were included in the review. Analysis of findings from studies included in our review addresses technologies used to care for persons living with an ostomy. Elements were divided into 2 categories: (1) sensor-based wearable technologies, which were mostly used to assess the fecal output and fullness of ostomy pouching system, and (2) computer-based, tablet based, and smartphones platforms, which were used for teaching and learning. The most significant outcomes were increasing patients' knowledge and awareness of ostomy, enhancing patient's participation in self-care processes, and improving self-efficacy levels. IMPLICATIONS FOR PRACTICE: We found limited research regarding the effectiveness of technology-based interventions on the management of ostomy patients. Findings of this systematic review suggest that the application of technologies has created a positive effect on the management of an ostomy, provided opportunities for enhancing self-efficacy, self-care, and self-management. The results of this study can be a basis for designing efficient technology-based systems for the management of ostomy.

Medication adherence in patients with mental disorders: A systematic review and meta-analysis of telemedicine interventions.

BACKGROUND AND OBJECTIVE: Telemedicine interventions have emerged as a promising solution to improve medication adherence by providing remote support and monitoring of patients with mental disorders. This study aims to investigate the effectiveness of telemedicine interventions in enhancing medication adherence among patients with mental disorders. METHODS: PubMed, Scopus, and Web of Science were searched systematically. After deleting the double-included studies, two researchers independently selected articles and extracted data using a standardized data collection form. The risk of bias in the included studies was assessed using the Mixed Methods Appraisal Tool. The intervention effects were combined using a random effects model. Standardized mean differences (Hedges's g) between the treatment and control groups were calculated. Heterogeneity variance was estimated using the Q test and I2 statistic. The analysis was performed in Stata version 17.0. RESULTS: Out of the 1088 articles retrieved, nine studies were included in the analysis. Overall, telemedicine interventions demonstrated a statistically significant improvement in medication adherence among patients with mental disorders (Hedges' g = 0.25, 95% confidence interval: 0.12-0.38, p-value: < 0.01). The type of mental disorder was a significant moderator of the heterogeneity between studies (p = 0.022). CONCLUSION: Telemedicine interventions have a positive impact on medication adherence in patients with mental disorders by offering remote support and monitoring. Integrating telemedicine into mental healthcare can enhance overall adherence rates, leading to improved management of mental disorders.

Patients' perspectives and preferences toward telemedicine versus in-person visits: a mixed-methods study on 1226 patients.

INTRODUCTION: Despite the fact that telemedicine can eliminate geographical and time limitations and offer the possibility of diagnosing, treating, and preventing diseases by sharing reliable information, many individuals still prefer to visit medical centers for in-person consultations. The aim of this study was to determine the level of acceptance of telemedicine compared to in-person visits, identify the perceived advantages of telemedicine over in-person visits, and to explore the reasons why patients choose either of these two types of visits. METHODS: We developed a questionnaire using the rational method. The questionnaire consisted of multiple-choice questions and one open-ended question. A total of 2059 patients were invited to participate in the study. Chi-square tests and descriptive statistics were employed for data analysis. To analyze the data from the open-ended question, we conducted qualitative content analysis using MAXQDA 18. RESULTS: Out of the 1226 participants who completed the questionnaire, 865 (71%) preferred in-person visits, while 361 (29%) preferred telemedicine. Factors such as education level, specific health conditions, and prior experience with telemedicine influenced the preference for telemedicine. The participants provided a total of 183 different reasons for choosing either telemedicine (108 reasons) or in-person visits (75 reasons). Avoiding infectious diseases, saving cost, and eliminating and overcoming geographical distance barriers were three primary telemedicine benefits. The primary reasons for selecting an in-person visit were: more accurate diagnosis of the disease, more accurate and better examination of the patient by the physician, and more accurate and better treatment of the disease. CONCLUSION: The results demonstrate that despite the numerous benefits offered by telemedicine, the majority of patients still exhibit a preference for in-person visits. In order to promote broader acceptance of telemedicine, it becomes crucial for telemedicine services to address patient preferences and concerns effectively. Employing effective change management strategies can aid in overcoming resistance and facilitating the widespread adoption of telemedicine within the population.

Examining Outcomes and Challenges of Telepsychiatry in Australian Elderly: A Scoping Review.

Methods: To find relevant articles, we searched PubMed, Scopus, and Web of Science databases. We used a data extraction form to gather information from primary studies. Two researchers followed inclusion and exclusion criteria to select studies and extract data. Disagreements were resolved through discussion with all researchers. Studies needed to be in English, about telepsychiatry for Australian seniors, and use any technology type (synchronous, asynchronous, or both). We excluded nontelepsychiatry articles, books, book chapters, conference abstracts, and editor letters. Results: Telepsychiatry was effectively employed to manage depression, anxiety, delirium, and cognitive impairments. Among these four disorders, telepsychiatry was mostly used for depression. Videoconference and telephone were mostly used to provide telepsychiatry services. Most telepsychiatry services for Australian seniors included "patient education on disorder control and management," "creating continuous interaction between the patient and the therapist," and "remote patients' assessment." "Reductions in symptoms of disorders," "improving patients' satisfaction with telepsychiatry," and "cost-effectiveness of telepsychiatry" were the most important positive outcomes of using telepsychiatry. We also identified four challenges in using telepsychiatry for elderly individuals in Australia. Conclusions: This study is the first scoping review in Australia and provides valuable insight into telepsychiatry for elderly individuals.

Design and development of a mobile-based self-care application for patients with depression and anxiety disorders.

BACKGROUND AND AIM: Depression and anxiety can cause social, behavioral, occupational, and functional impairments if not controlled and managed. Mobile-based self-care applications can play an essential and effective role in controlling and reducing the effects of anxiety disorders and depression. The aim of this study was to design and develop a mobile-based self-care application for patients with depression and anxiety disorders with the goal of enhancing their mental health and overall well-being. MATERIALS AND METHODS: In this study we designed a mobile-based application for self -management of depression and anxiety disorders. In order to design this application, first the education- informational needs and capabilities were identified through a systematic review. Then, according to 20 patients with depression and anxiety, this education-informational needs and application capabilities were approved. In the next step, the application was designed. RESULTS: In the first step, 80 education-information needs and capabilities were identified. Finally, in the second step, of 80 education- informational needs and capabilities, 68 needs and capabilities with a mean greater than and equal to 3.75 (75%) were considered in application design. Disease control and management, drug management, nutrition and diet management, recording clinical records, communicating with physicians and other patients, reminding appointments, how to improve lifestyle, quitting smoking and reducing alcohol consumption, educational content, sedation instructions, introducing health care centers for depression and anxiety treatment and recording activities, personal goals and habits in a diary were the most important features of this application. CONCLUSION: The designed application can encourage patients with depression and stress to perform self-care processes and access necessary information without searching the Internet.

Machine learning for prediction of viral hepatitis: A systematic review and meta-analysis.

BACKGROUND: Lack of accurate and timely diagnosis of hepatitis poses obstacles to effective treatment, disease progression prevention, complication reduction, and life-saving interventions of patients. Utilizing machine learning can greatly enhance the achievement of timely and precise disease diagnosis. Therefore, we carried out this systematic review and meta-analysis to explore the performance of machine learning algorithms in predicting viral hepatitis. METHODS: Using an extensive literature search in PubMed, Scopus, and Web of Science databases until June 15, 2023, English publications on hepatitis prediction using machine learning algorithms were included. Two authors independently extracted pertinent information from the selected studies. The PRISMA 2020 checklist was followed for study selection and result reporting. The risk of bias was checked using the International Journal of Medical Informatics (IJMEDI) checklist. Data were analyzed using the 'metandi' command in Stata 17. RESULTS: Twenty-one original studies were included, covering 82 algorithms. Sixteen studies utilized five algorithms to predict hepatitis B. Ten studies used five algorithms for hepatitis C prediction. For hepatitis B prediction, the SVM algorithms demonstrated the highest sensitivity (90.0%; 95% confidence interval (CI): 77.0%-96.0%), specificity (94%; 95% CI: 90.0%-97.0%), and a diagnostic odds ratio (DOR) of 145 (95% CI: 37.0-559.0). In the case of hepatitis C, the KNN algorithms exhibited the highest sensitivity (80%; 95% CI:30.0%-97.0%), specificity (95%; 95% CI: 58.0%-99.0%), and DOR (72; 95% CI: 3.0-1644.0) for prediction. CONCLUSION: SVM and KNN demonstrated superior performance in predicting hepatitis. The proper algorithm along with clinical practice could improve hepatitis prediction and management.

Barriers and facilitators of using health information technologies by women: a scoping review.

BACKGROUND AND AIM: Health information technologies play a vital role in addressing diverse health needs among women, offering a wide array of services tailored to their specific requirements. Despite the potential benefits, the widespread utilization of these technologies by women faces numerous barriers and challenges. These barriers can cause women to either reduce their usage of health technologies or refrain from using them altogether. Therefore, this review was done with the aim of identifying and classifying barriers and facilitators. METHODS: Some databases, including PubMed, Web of Sciences, and Scopus were searched using related keywords. Then, according to the inclusion and exclusion criteria, the articles were evaluated and selected. Finally, the barriers and facilitators were identified and classified. RESULTS: Out of 14,399 articles, finally 35 articles were included in the review. In general, 375 barriers (232 items) and facilitators (143 items) were extracted from the studies. After merging similar items, 121 barriers (51 items) and facilitators (70 items) identified were organized into five main themes (management, technological, legal and regulatory, personal, and data and information management). The most important barriers were "privacy, confidentiality, and security concerns" (n = 24), "deficiencies and limitations of infrastructure, software, hardware, and network" (n = 19), "sociocultural challenges" (n = 15), and "poor economic status" (n = 15). Moreover, the most important facilitators were "increasing awareness, skills and continuous education of women" (n = 17, in personal theme), "providing training services" (n = 14, in management theme), "simple, usable, and user-friendly design of technologies" (n = 14, in technological theme), and "providing financial or non-financial incentives (motivation) for women" (n = 14, in personal theme). CONCLUSION: This review showed that in order to use technologies, women face many barriers, either specific to women (such as gender inequality) or general (such as lack of technical skills). To overcome these barriers, policymakers, managers of organizations and medical centers, and designers of health systems can consider the facilitators identified in this review.

A data set for the design and implementation of the upper limb disability registry.

BACKGROUND: If the data elements needed for patient registries are not identified, designing and implementing them can be very challenging. Identifying and introducing a Data Set (DS) can help solve this challenge. The aim of this study was to identify and present a DS for the design and implementation of the upper limb disability registry. MATERIALS AND METHODS: This cross-sectional study was conducted in two phases. In the first phase, to identify the administrative and clinical data elements required for registry, a comprehensive study was conducted in PubMed, Web of Science, and Scopus databases. Then, the necessary data elements were extracted from the studies and a questionnaire was designed based on them. In the second phase, in order to confirm the DS, the questionnaire was distributed to 20 orthopedic, physical medicine and rehabilitation physicians and physiotherapists during a two-round Delphi. In order to analyze the data, the frequency and mean score of each data element were calculated. Data elements that received an agreement more than 75% in the first or two-round Delphi were considered for the final DS. RESULTS: A total of 81 data elements in five categories of "demographic data", "clinical presentation", "past medical history", "psychological issues", and "pharmacological and non-pharmacological treatments" were extracted from the studies. Finally, 78 data elements were approved by experts as essential data elements for designing a patient registry for upper limb disabilities. CONCLUSION: In this study, the data elements necessary for the design and implementation of the upper limb disability registry were suggested. This DS can help registry designers and health data administrators know what data needs to be included in the registry system in order to have a successful design and implementation. Moreover, this standardized DS can be effective for integrating and improving the information management of people with upper limb disabilities and used to accurately gather the upper limb disabilities data for research and policymaking purposes.

Benefits, barriers, and facilitators of using speech recognition technology in nursing documentation and reporting: A cross-sectional study.

Background and Aim: Nursing reports are necessary for clinical communication and provide an accurate reflection of nursing assessments, care provided, changes in clinical status, and patient-related information to support the multidisciplinary team to provide individualized care. Nurses always face challenges in recording and documenting nursing reports. Speech recognition systems (SRS), as one of the documentation technologies, can play a potential role in recording medical reports. Therefore, this study seeks to identify the barriers, benefits, and facilitators of utilizing speech recognition technology in nursing reports. Materials and Methods: This cross-sectional was conducted through a researcher-made questionnaire in 2022. Invitations were sent to 200 ICU nurses working in the three educational hospitals of Imam Reza (AS), Qaem and Imam Zaman in Mashhad city (Iran), 125 of whom accepted our invitation. Finally, 73 nurses included the study based on inclusion and exclusion criteria. Data analysis was performed using SPSS 22.0. Results: According to the nurses, "paperwork reduction" (3.96, ±1.96), "performance improvement" (3.96, ±0.93), and "cost reduction" (3.95, ±1.07) were the most common benefits of using the SRS. "Lack of specialized, technical, and experienced staff to teach nurses how to work with speech recognition systems" (3.59, ±1.18), "insufficient training of nurses" (3.59, ±1.11), and "need to edit and control quality and correct documents" (3.59, ±1.03) were the most common barriers to using SRS. As well as "ability to fully review documentation processes" (3.62, ±1.13), "creation of integrated data in record documentation" (3.58, ±1.15), "possibility of error correction for nurses" (3.51, ±1.16) were the most common facilitators. There was no significant relationship between nurses' demographic information and the benefits, barriers, and facilitators. Conclusions: By providing information on the benefits, barriers, and facilitators of using this technology, hospital managers, nursing managers, and information technology managers of healthcare centers can make more informed decisions in selecting and implementing SRS for nursing report documentation. This will help to avoid potential challenges that may reduce the efficiency, effectiveness, and productivity of the systems.

An analysis of clinical outcomes and essential parameters for designing effective games for upper limb rehabilitation: A scoping review.

Background and Aims: Upper limb disabilities are one of the most common disabilities among different groups of people who always need rehabilitation. One of the important methods in helping to carry out efficient rehabilitation processes and exercises is the use of games. The aim of this study is to identify the parameters necessary to design a successful rehabilitation game and the outcomes of using these games in upper limb disabilities rehabilitation. Methods: This scoping review was conducted by searching the Web of Science, PubMed, and Scopus. The eligibility criteria were: any form of game-based upper limb rehabilitation, published in a peer-reviewed journal, published in English, and not include articles that did not focus upper limb disabilities rehabilitation games, review, meta-analysis, or conference papers. Analysis of collected data was done using descriptive statistics (frequency and percentage). Results: The search strategy retrieved 537 relevant articles. Finally, after removing irrelevant and repetitive articles, 21 articles were included in this study. Among the six categories of diseases or complications of upper limb disabilities, games were mostly designed for stroke patients. Smart wearables, robots and telerehabilitation were three technologies that were used for rehabilitation along with games. Sports and shooters were the most used games for upper limb disability rehabilitation. Among 99 necessary parameters for designing and implementing a successful rehabilitation game in ten categories. "Increasing the patient's motivation to perform rehabilitation exercises", "Game difficulty levels", "Enjoying and the attractiveness of the game for patients", and "Providing positive or negative audiovisual feedback" were the most important parameters. "Improvement in musculoskeletal performance" and "Increasing users' enjoyment/joy of therapeutic exercises and their motivation to perform these exercises" were the most important positive outcomes, and "Mild discomfort such as nausea and dizziness when using games" was the only negative outcome. Conclusions: The successful design of a game according to the parameters identified in the present study can lead to an increase in the positive outcomes of using games in the rehabilitation of disabilities. The study results indicate that upper limb therapeutic exercise augmented with virtual reality games may be highly effective in enhancing motor rehabilitation outcomes.

Overview of the role of robots in upper limb disabilities rehabilitation: a scoping review.

BACKGROUND: Neuromotor rehabilitation and improvement of upper limb functions are necessary to improve the life quality of patients who have experienced injuries or have pathological outcomes. Modern approaches, such as robotic-assisted rehabilitation can help to improve rehabilitation processes and thus improve upper limb functions. Therefore, the aim of this study was to investigate the role of robots in upper limb disability improvement and rehabilitation. METHODS: This scoping review was conducted by search in PubMed, Web of Science, Scopus, and IEEE (January 2012- February 2022). Articles related to upper limb rehabilitation robots were selected. The methodological quality of all the included studies will be appraised using the Mixed Methods Appraisal Tool (MMAT). We used an 18-field data extraction form to extract data from articles and extracted the information such as study year, country, type of study, purpose, illness or accident leading to disability, level of disability, assistive technologies, number of participants in the study, sex, age, rehabilitated part of the upper limb using a robot, duration and frequency of treatment, methods of performing rehabilitation exercises, type of evaluation, number of participants in the evaluation process, duration of intervention, study outcomes, and study conclusions. The selection of articles and data extraction was made by three authors based on inclusion and exclusion criteria. Disagreements were resolved through consultation with the fifth author. Inclusion criteria were articles involving upper limb rehabilitation robots, articles about upper limb disability caused by any illness or injury, and articles published in English. Also, articles involving other than upper limb rehabilitation robots, robots related to rehabilitation of diseases other than upper limb, systematic reviews, reviews, and meta-analyses, books, book chapters, letters to the editor, and conference papers were also excluded. Descriptive statistics methods (frequency and percentage) were used to analyses the data. RESULTS: We finally included 55 relevant articles. Most of the studies were done in Italy (33.82%). Most robots were used to rehabilitate stroke patients (80%). About 60.52% of the studies used games and virtual reality rehabilitate the upper limb disabilities using robots. Among the 14 types of applied evaluation methods, "evaluation and measurement of upper limb function and dexterity" was the most applied evaluation method. "Improvement in musculoskeletal functions", "no adverse effect on patients", and "Safe and reliable treatment" were the most cited outcomes, respectively. CONCLUSIONS: Our findings show that robots can improve musculoskeletal functions (musculoskeletal strength, sensation, perception, vibration, muscle coordination, less spasticity, flexibility, and range of motion) and empower people by providing a variety of rehabilitation capabilities.

Attitudes of Covid-19 patients toward sharing their health data: A survey-based study to understand security and privacy concerns.

Background and Aims: Many people around the world, especially at the time of the Covid-19 outbreak, are concerned about their e-health data. The aim of this study was to investigate the attitudes of patients with Covid-19 toward sharing their health data for research and their concerns about security and privacy. Methods: This survey is a cross-sectional study conducted through an electronic researcher-made questionnaire from February to May 2021. Convenience sampling was applied to select the participants and all 475 patients were referred to two to Afzalipour and Shahid Bahonar hospitals were invited to the study. According to the inclusion and exclusion criteria, 204 patients were included in the study and completed the questionnaire. Descriptive statistics (frequency, mean, and standard deviation) were used to analyze the questionnaire data. SPSS 23.0 was used for data analysis. Results: Participants tended to share information about "comments provided by individuals on websites" (68.6%), "fitness tracker data" (64.19%), and "online shopping history" (63.21%) before death. Participants also tended to share information about "electronic medical records data" (36.75%), "genetic data" (24.99%), and "Instagram data" (24.99%) after death. "Fraud or misuse of personal information" (4.48 [±1.27]) was the most common concern of participants regarding the virtual world. "Unauthorized access to the account" (4.38 [±0.73]), "violation of the privacy of personal information" (4.26 [±0.85]), and "violation of the patient privacy and personal information confidentially" (4.26 [±0.85]) were the most of the unauthorized security incidents that occurred online for participants. Conclusion: Patients with Covid-19 were concerned about releasing information they shared on websites and social networks. Therefore, people should be made aware of the reliability of websites and social media so that their security and privacy are not affected.

Investigating the role of health information technology in the control and management of Systemic Lupus Erythematosus (SLE): a systematic review.

BACKGROUND: Despite the use of health information technology (HIT) for controlling and managing lupus, its effectiveness has not been well studied. The objective of this study was to investigate the role of HIT in controlling and managing lupus. METHODS: We searched Scopus, PubMed, Web of Science, and Embase, using "self-management", "self-care" and "Systemic Lupus Erythematosus" keywords. Two researchers selected relevant papers and extracted data using a data collection form. Disagreements were resolved in consultation with the third and fourth researchers. After extraction, the data were analyzed. RESULTS: Totally, 23 papers met the inclusion criteria. About 75% of the studies used web and telephone-based technologies. Most services provided with health technologies were 'Training' and 'consulting'. The 'lifestyle" and 'Consultation and education' axes were the most widely used HIT services to control and manage lupus. While, 'Better management and control of the disease', 'Increasing knowledge and awareness of people about lupus' and 'Improving behaviors and attitudes toward self-management and self-care' were also the most important outcomes. 'Collectiing patient data and information', 'Providing education and consultation services to patients', 'Measuring patient-reported outcomes', and 'Increasing patients' knowledge and awareness of their disease' were the most important advantages of various technologies. 'Slow internet speed' and 'Challenges and problems related to appearance and usability' and 'Patient concerns about privacy and misuse of their data' were three disadvantages of technologies. CONCLUSION: The findings showed that HIT can improve the management and control of lupus and facilitate self-efficacy, self-care, and self-management in patients. The axes and data elements identified in this study can be the basis for developing and implementing efficient HIT-based systems to improve, control, and manage lupus.

The effect of virtual reality therapy and counseling on students' public speaking anxiety.

Background and Aims: One of the barriers to effective communication between speaker and listeners is public speaking anxiety (PSA). Over recent years, PSA has become common among students as the most widespread social anxiety (SA). Virtual reality (VR) and counseling therapy help reduce PSA. Therefore, the present study aimed to investigate the effect of VR therapy and counseling on students' PSA and SA. Methods: This quasi-experimental study was conducted on 30 students at three levels of undergraduate, postgraduate, and PhD at Kerman University of Medical Sciences and Shiraz University of Medical Sciences (15 students in the intervention group and 15 in the control group). The intervention group observed four virtual classroom scenarios in a 30-min session, and the control group attended a 90-min group counseling session. Data were collected using by Personal Report of Public Speaking Anxiety, Liebowitz Social Anxiety Scale, and Igroup Presence Questionnaire. The data analysis was done using SPSS version 21. Descriptive analysis (frequency and percentage, mean, standard deviation, and quartiles) and analytical tests (paired t-test and independent t-test) were used to analyze the data. Results: The results showed that VR and counseling did not affect SA scores and statistical differences before and after the intervention were not statistically significant. However, VR and counseling reduced PSA. The mean of IPQ/IGP (physical presence) was 63.73. The participants' SA means (93.76) were higher than the mean PSA (73.4). Conclusions: VR and counseling did not affect students' SA, but they reduced PSA. If the intervention duration in future studies are longer, the effect of VR and counseling on reducing SA is likely to become more apparent.