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.

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 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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

Telerehabilitation for upper limb disabilities: a scoping review on functions, outcomes, and evaluation methods

Background

Upper limb (UL) disabilities have attracted worldwide attention due to the high economic costs of health care and the negative effects on the quality of life of patients with these disabilities. Telerehabilitation technologies are one of the most important ways to reduce rehabilitation costs and increase the quality of life of patients. Therefore, the aim of this study was to investigate the role of telerehabilitation in improving the health status of patients with upper limb disabilities.

Methods

This scoping review was conducted by searching the Web of Science, PubMed, and Scopus until July 30, 2021. We used a data extraction form with 18 fields to extract data from primary studies. The selection of articles and data extraction was made by four researchers using a data collection form based on inclusion and exclusion criteria. Disagreements were resolved through consultation with the fifth and sixth researchers.Inclusion criteria were studies published in English, studies on upper limb disability, and telerehabilitation based on any technology (synchronous telerehabilitation, asynchronous, or both). Exclusion criteria were articles that did not focus on telerehabilitation and upper limb disabilities. Also, books, book chapters, letters to the editor, and conference abstracts were also removed.

Results

A total of 458 articles were retrieved, and after removing irrelevant and duplicate articles, 29 articles were finally included in this review. Most telerehabilitation was performed for patients with stroke (65%). Among the 15 different services provided with telerehabilitation technologies, "Evaluation of exercises and also a musculoskeletal function of patients by the therapist","Recording of patients' rehabilitation exercises and sending them to the therapist” and "Prescribing new rehabilitation exercises by the therapist" were the most widely used services, respectively. Virtual reality technologies, smart wearables, and robots were used to provide telerehabilitation services. Among the 13 types of evaluation used for telerehabilitation systems, “Evaluation and measurement of upper limb function” was the most used evaluation in the studies. "Improvement in musculoskeletal functions”, "Increasing patients' interest and motivation to perform rehabilitation exercises", and "Increasing adherence to rehabilitation exercises and greater participation in treatment processes" were the most important outcomes, respectively.

Conclusion

Our findings indicate that telerehabilitation provides individuals with equitable access to rehabilitation services, improves musculoskeletal function, and empowers individuals by providing a variety of rehabilitation capabilities.

Designing the minimum data set of bipolar disorder: A basis for introducing the effective factors in managing, controlling, and monitoring the bipolar disorder

BACKGROUND AND AIM

Bipolar disorder (BD) is one of the most challenging psychiatric disorders in the management area that can lead to functional, occupational, and cognitive disorders. Without proper care, this complication can lead to profound psychological challenges and even death. The aim of this study is to design a minimum data set (MDS) for BD.

MATERIALS AND METHODS

This descriptive cross-sectional study was conducted in two steps. In the first step, a survey was conducted in PubMed, Web of Science, and SCOPUS databases to identify the demographic, managerial, and clinical data elements. Then, the required data elements were extracted from the studies by the data extraction form and used in a questionnaire. In the second step, to confirm the data element set, the designed questionnaire was distributed and collected among 20 psychiatrists and subspecialists during a two-stage Delphi technique. Descriptive statistics (frequency and mean) were conducted to analyze the data.

RESULTS

Totally, 112 managerial and clinical data elements in 14 categories were extracted from the studies. Based on the experts' opinion and their consensus, 88 necessary data elements were considered to bipolar MDS. "Medication nonadherence," "history of suicide," and "substance abuse and addiction" were the most important data elements.

CONCLUSION

In this study, an MDS was designed for BD. Providing this MDS, in addition to improving the clinical processes, it is possible to help electronic system designers and health data managers to know what information should be included in the health systems or any kind of self-care or self-management software to meet the information needs of these patients.

The role of social networks in improving women's self-care during pregnancy and postpartum

Introduction: Pregnant women are always faced with common physical and mental problems during pregnancy and postpartum. Self-care through social networks as an effective and influential factor in women's empowerment can improve their physical and mental health. The aim of this study was to investigate the role of social networks in improving women's self-care during pregnancy and postpartum.Material and Methods: This cross-sectional study was conducted through a researcher-made questionnaire. We invited 285 pregnant women referred to Fasa medical centers (Shiraz, Iran). 110 pregnant women agreed to participate in the study. Finally, according to the inclusion and exclusion criteria, 96 pregnant women entered the study and completed the questionnaire. Data were analyzed using descriptive statistics (mean, standard deviation, percentage, frequency) and analysis of variance with SPSS 22.Results: Among the 44 roles of social networks in the self-care processes during pregnancy and postpartum "regular use of drugs and supplements" (4.43 ± 0.81), "timely and regular tests (screening, etc.) and “timely and regular tests (screening, etc.) and ultrasounds during pregnancy" (4.22 ±0.90) and "communication with a public health expert in health homes"(4.07 ±0.97) were the most important roles." Management, control and improvement of foot edema" (1.71 ±1.01), "Management and control of complications due to iron deficiency" (1.97 ±1.11) and "Social support" (2.25 ±1.17) were the least important roles.Conclusion: Social networks as an important source of information can help to improve women's self-care processes during pregnancy and postpartum.

The information‐seeking behavior of medical sciences students toward COVID‐19 in mass and social media: A cross‐sectional study

Background and Aims

During the COVID‐19 pandemic, college students can access health‐related information on the Internet to improve preventative behaviors, but they often judge the merits of such information and create challenges in the community. The aim of this study was to investigate information‐seeking behaviors in regard to COVID‐19 among students at Kerman University of Medical Sciences (KUMS) with the help of mass and social media.

Methods

The present study is a cross‐sectional study, which was conducted using an online researcher‐made questionnaire. An invitation to participate in the study was sent to 500 students at KUMS, of which 203 were selected according to the inclusion criteria and completed the questionnaire. Descriptive statistics were used to analyze the data.

Results

COVID‐19 news was mostly obtained through social media platforms such as WhatsApp, Telegram, Instagram, radio, and television, as well as online publications and news agencies. Social media platforms such as WhatsApp, Telegram, Instagram, and satellite networks such as BBC contained the most rumors about COVID‐19. Some of the most common misconceptions regarding COVID‐19 were as follows: “COVID‐19 is the deadliest disease in the world,” “COVID‐19 is a biological attack,” and “COVID‐19 disappears as the air temperature rises.” In addition, most of the virtual training provided through mass media focused on “refraining from visiting holy places and crowded locations such as markets,” “observing personal hygiene and refraining from touching the eyes, nose, and mouth with infected hands,” and “the role of quarantine in reducing the incidence of COVID‐19.”

Conclusion

Our findings demonstrated that during the pandemic, students used social media platforms the most to obtain health‐related information and these media have a significant impact on their willingness to engage in preventative behaviors and take the COVID‐19 risk seriously.

The role of social networks in diabetes self‐care: A cross‐sectional study

Background

Patient involvement with diabetes self‐care is critical to reducing complications, morbidity, and mortality. Social media, as one of the most important forms of digital health, has always been available for diabetes self‐care, although the role of these media in supporting patient self‐care is unclear.

Aims

The aim of this study was to investigate the role of social networks in diabetes self‐care. In this study, the most important social networks used to receive self‐care services, diabetes self‐care behaviors, diabetes self‐care educations and benefits of using various services provided through social networks were identified.

Methods

The present study is a cross‐sectional study that was conducted through an electronic researcher‐made questionnaire in 2021. Two hundred and eighteen patients were selected to participate in the study from centers of diabetes of Fasa city, south of Iran. Sampling was performed by convenience sampling and in accordance with inclusion and exclusion criteria. Data were analyzed by descriptive statistics and analytical tests.

Results

In the data analysis section on Diabetes self‐care behaviors, there was no significant relationship between gender (p = 0.292), age (p = 0.49), type of diabetes (p = 0.909) and duration of diabetes (p = 0.076) with the use of self‐care services provided through social networks. There was a significant relationship between education level and the use of self‐care services provided through social networks (p = 0.01). “Recognizing diabetes and its complications,” “observing personal hygiene,” and “the impact of physical activity on diabetes control” were the most important educations. “Increasing patient knowledge and understanding about diabetes and its complications,” “reducing the consumption of high‐calorie foods and sugars,” and “observing personal and public health” were the most important social network's benefits, respectively.

Conclusions

Various self‐care educations and services provided through social networks can increase the in‐depth knowledge of diabetic patients about self‐care techniques and their effective role in controlling and managing diabetes and performing more self‐care processes.

Survey of the patients' perspectives and preferences in adopting telepharmacy versus in-person visits to the pharmacy: a feasibility study during the COVID-19 pandemic

Background

Following the coronavirus disease 2019 (COVID-19) pandemic, the health authorities recommended the implementation of strict social distancing and complete lockdown regulations to reduce disease spread. The pharmacists quickly adopted telemedicine (telepharmacy) as a solution against this crisis, but awareness about this technology is lacking. Therefore, the purpose of this research was to explore the patients' perspectives and preferences regarding telepharmacy instead of traditional in-person visits.

Methods

An electronic questionnaire was designed and sent to 313 patients who were eligible for the study (from March to April 2021). The questionnaire used five-point Likert scales to inquire about motivations for adopting telepharmacy and in-person visits, their perceived advantages and disadvantages, and the declining factors of telepharmacy. Finally, the results were descriptively analyzed using SPSS 22.

Results

Of all 313 respondents, a total of 241 (77%) preferred appointments via telepharmacy while 72 (23%) preferred in-person services. There was a significant difference between the selection percentage of telepharmacy and in-person services (chi-square 91.42; p < 0.0001). Preference bout the telepharmacy system versus in-person visits to the pharmacy was associated with factors such as "reducing the incidence of contagious disease" (4.41; ± 0.78), "spending less time receiving pharmaceutical services” (4.24; ± 0.86)), and “traveling a shorter distance for receiving pharmaceutical services" (4.25; ± 0.86). "Reducing costs" (90.87%), "saving time" (89.21%), and "reducing the incidence of contagious disease" (87.13%) were the most important reasons for choosing telepharmacy services. Also, “face-to-face communication with the pharmacist” (25%), “low internet bandwidth” (25%), and “reduction of patients' anxiety and the increase of their peace of mind” (23.61%) were the most important reasons for choosing in-person visits.

Conclusion

Survey data indicate that most participants are likely to prefer the use of telepharmacy, especially during crises such as the current COVID-19 pandemic. Telepharmacy can be applied as an important means and a crucial service to lessen the load on healthcare organizations and expand drug supply shelters in pharmacies. However, there are still substantial hurdles to overcome in order to successfully implement the telemedicine platform as part of mainstream practice.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12911-022-01834-5.

Diagnosing, Managing, and Controlling COVID-19 using Clinical Decision Support Systems: A Study to Introduce CDSS Applications

Coronavirus disease (COVID-19) as an emerging disease decreases security among people from different countries. Sense of security can be raised via quick diagnosis of COVID-19, and its management and control using clinical decision support systems (CDSS) to prevent further spread of the disease. So, the aim of this study is to identify and introduce the applications of a CDSS in the diagnosis, management, and control of COVID-19. This cross-sectional study was conducted to identify and introduce the applications of CDSS in the diagnosis, management, and control of COVID-19. Based on the results of some meetings with infectious disease specialists and a general practitioner as well as reviewing the related literature, information about COVID-19 and CDSS was obtained. Then based on the information obtained, a questionnaire was designed electronically and distributed in a two-round Delphi method among 19 experts in the three fields of medical informatics, health information management, and infectious disease specialists. According to the literature and expert opinions, 35 applications of CDSS applications were identified in the four main groups of “diagnosis”, “medication”, “monitoring”, and “health services”. Eventually, a collective agreement was reached on 30 applications in the first and second rounds of Delphi. Among all the applications, the highest means were assigned to “monitoring the vital signs” and “helping diagnose infections and damaged lung tissue through CT scan”. Introducing these applications can provide general, basic knowledge of the design and implementation of clinical decision support systems in the real world to prevent irreversible complications and even many people’s death.

Designing and Evaluating a Mobile-based Self-care Application for Patients with Gastrointestinal Cancer to Manage Chemotherapy Side Effects

Background: Controlling and managing the side effects of chemotherapy is one of the most serious challenges that patients with gastrointestinal cancer encounter. A promising technique to overcome these challenges is using informative mobile-based applications. The aim of this study was to design and evaluate a mobile-based application to help patients with gastrointestinal cancer to manage the possible side effects caused by chemotherapy.

Methods: This descriptive-applied study was performed in 2 stages. In the first stage, a needs assessment was performed where the opinions of 4 oncologists and 27 patients with gastrointestinal cancer were obtained by use of a researcher-designed questionnaire. In the second stage of the study, based on the identified needs from the first stage, an application prototype was designed and later evaluated. Participants were asked to use the application for 1 week to evaluate the usability of the application. The Questionnaire for User Interaction Satisfaction Version 5.5 was used for evaluation. The results of the study were analyzed using descriptive statistics and SPSS software Version 22.

Results: Of the 34 data elements obtained in the first step, 30 gained a mean above 3.75 and were considered in designing the application. The following features were included in the application: demographic data, history, clinical data, managing psychological and psychiatric challenges, lifestyle information, management of side effects, communication possibility, and other application features. Also, the evaluation results showed that the users gave a mean of 7.12 to the application and believed its usability was good.

Conclusion: This application and its capabilities can help patients with gastrointestinal cancer undergoing chemotherapy to better perform self-care processes, improve their health status, and reduce the side effects of chemotherapy.

Development and Usability Evaluation of a Telemedicine System for Management and Monitoring of Patients with Diabetic Foot

Objectives: The aim of the present study was to develop and evaluate the usability of a telemedicine system for management and monitoring of patients with diabetic foot.Methods: This study was conducted in four phases. In the first phase, the information needs and characteristics required to design the telemedicine system were identified based on a literature review. Then, in a two-stage Delphi survey, 15 experts approved the identified information needs and characteristics. The prototype telemedicine system was then designed. In the third phase, system usability was evaluated through a semi-structured interview. In the fourth phase, users’ satisfaction with the designed system was analyzed.Results: Out of 115 information needs and required characteristics, 95 were considered in the system design. Eight main pages for enabling patient-physician interactions and physician-physician interactions, monitoring the patient and controlling the disease process, providing medical consultation, and prescribing medications were considered. In the third phase, 26 distinct problems were identified. However, 75% of the participants were very satisfied with the system.Conclusions: This study presents an attempt to design and evaluate a telemedicine system for the management and monitoring of patients with diabetic foot. In this system, patients receiving medical services or physicians who encounter rare cases can send the complete medical history, clinical test results, and videos and images related to the foot to specialist physicians. After examining the medical history or images and videos, the physician can provide the necessary medication prescriptions and laboratory tests or other recommendations.

Comparing machine learning algorithms for predicting COVID-19 mortality

BACKGROUND

The coronavirus disease (COVID-19) hospitalized patients are always at risk of death. Machine learning (ML) algorithms can be used as a potential solution for predicting mortality in COVID-19 hospitalized patients. So, our study aimed to compare several ML algorithms to predict the COVID-19 mortality using the patient's data at the first time of admission and choose the best performing algorithm as a predictive tool for decision-making.

METHODS

In this study, after feature selection, based on the confirmed predictors, information about 1500 eligible patients (1386 survivors and 144 deaths) obtained from the registry of Ayatollah Taleghani Hospital, Abadan city, Iran, was extracted. Afterwards, several ML algorithms were trained to predict COVID-19 mortality. Finally, to assess the models' performance, the metrics derived from the confusion matrix were calculated.

RESULTS

The study participants were 1500 patients; the number of men was found to be higher than that of women (836 vs. 664) and the median age was 57.25 years old (interquartile 18-100). After performing the feature selection, out of 38 features, dyspnea, ICU admission, and oxygen therapy were found as the top three predictors. Smoking, alanine aminotransferase, and platelet count were found to be the three lowest predictors of COVID-19 mortality. Experimental results demonstrated that random forest (RF) had better performance than other ML algorithms with accuracy, sensitivity, precision, specificity, and receiver operating characteristic (ROC) of 95.03%, 90.70%, 94.23%, 95.10%, and 99.02%, respectively.

CONCLUSION

It was found that ML enables a reasonable level of accuracy in predicting the COVID-19 mortality. Therefore, ML-based predictive models, particularly the RF algorithm, potentially facilitate identifying the patients who are at high risk of mortality and inform proper interventions by the clinicians.

A Novel Model for Implementing Internet of Things (IoT) in Iranian Hospitals

The Internet of Things (IOT) has led to ground-breaking changes in the healthcare industry as a promising technological solution. Yet, despite its many benefits, its application has always proven to be challenging. Hence, the purpose of this study is to identify the challenges of using the IOT with the intention of proposing a model for implementing Internet of Things in Iranian hospitals. This study was performed in three phases. In the first phase, the challenges of using the IoT were outlined and introduced. In the second phase the challenges of using the Internet of Things in Iranian hospitals (according to experts) was established during the completion of a two-round Delphi. In the last phase, a novel model for implementing the IoT in Iranian hospitals was proposed. The identified primary model consisted of six groups, namely privacy and security, Big data, hardware, network, software, and organizational-cultural and environmental issues with 78 challenges. Out of the 78 identified challenges, 46 were approved by experts as essential elements for providing IoT patterns in Iranian hospitals. The highest and lowest averages were related to the subgroups "Failure to provide regular IoT rules and programs by governments" and "Absence of single, integrated and efficient platforms with high data transfer capacity and fast processing", respectively. The final model for implementing IoT in Iranian hospitals was designed and presented using Edraw Max10.0.4+Portable software. Providing this model can provide a sufficient basis, information and knowledge for policymakers, government authorities and managers of organizations to use the IoT in hospitals of Iran and other countries. Also, the application of the proposed model can result in the improved special capabilities in the realm of system design, and offer grounds for saving time and money as well as reducing failures in the initial design of IoT projects.

Predicting Mortality of COVID-19 Patients based on Data Mining Techniques

If Coronavirus (COVID-19) is not predicted, managed, and controlled timely, the health systems of any country and their people will face serious problems. Predictive models can be helpful in health resource management and prevent outbreak and death caused by COVID-19. The present study aimed at predicting mortality in patients with COVID-19 based on data mining techniques. To do this study, the mortality factors of COVID-19 patients were first identified based on different studies. These factors were confirmed by specialist physicians. Based on the confirmed factors, the data of COVID-19 patients were extracted from 850 medical records. Decision tree (J48), MLP, KNN, random forest, and SVM data mining models were used for prediction. The models were evaluated based on accuracy, precision, specificity, sensitivity, and the ROC curve. According to the results, the most effective factor used to predict the death of COVID-19 patients was dyspnea. Based on ROC (1.000), accuracy (99.23%), precision (99.74%), sensitivity (98.25%) and specificity (99.84%), the random forest was the best model in predicting of mortality than other models. After the random forest, KNN5, MLP, and J48 models were ranked next, respectively. Data analysis of COVID-19 patients can be a suitable and practical tool for predicting the mortality of these patients. Given the sensitivity of medical science concerning maintaining human life and lack of specialized human resources in the health system, using the proposed models can increase the chances of successful treatment, prevent early death and reduce the costs associated with long treatments for patients, hospitals and the insurance industry.

The Design and Evaluation of a Mobile based Application to Facilitate Self-care for Pregnant Women with Preeclampsia during COVID-19 Prevalence

Preeclampsia is one of the most common complications of pregnancy that is very difficult to control and manage during the outbreak of COVID-19. One way to control and manage this disease is to use self-care applications. Therefore, the aim of this study was to design and develop a mobile-based application to facilitate self-care for women, who suffer from pregnancy poisoning in the COVID-19 pandemic. This study was conducted in two stages: In the first stage, according to the opinion of 20 obstetricians and pregnant women, a needs assessment was performed. In the second stage, based on the identified needs, the application prototype was designed and then evaluated. For evaluation, 20 pregnant women were asked to use the application for 10 days. QUIS questionnaire version 5.5 was used for evaluation. Descriptive statistics and mann-whitney test in SPSS software version 23 were used for data analysis. Out of the 66 information needs that were identified via the questionnaire, 58 were considered in designing the application. Features of the designed application were placed in 5 categories: User's profile, lifestyle, disease prevention and control, application capabilities and user's satisfaction. The capabilities of the application consist of introducing specialized COVID-19 medical centers, search for the location of medical centers and doctors' offices, drug management, drug allergies, self-assessment, stress reduction and control, nutrition and diet management, sleep management, doctor's appointment reminders, communication with other patients and physicians, application settings. Pregnant women rated the usability of the application at a good level. The designed application can reduce the anxiety and stress due to preeclampsia feel and also improve their knowledge as well as attitude towards the COVID-19 pandemic and preeclampsia.

A smart wearable device for monitoring and self-management of diabetic foot: A proof of concept study

BACKGROUND AND OBJECTIVE

Diabetic foot is one of the important complications of diabetes, which is occurred due to the destructive parameters in different anatomical sites of feet. Management and monitoring of these parameters are very important to decrease or prevent foot ulcers. We aimed to develop a smart wearable device to monitor these parameters to prevent diabetic foot.

METHODS

Following literature review and expert panel discussions, we considered pressure, temperature and humidity to develop the system. During these sessions, we also developed the system architecture and determined the required technologies. We also developed a mobile application. Finally, all sensors were evaluated for accurate monitoring of pressure, temperature and humidity. A standard protocol was used to evaluate each of these sensors. To this end, five people (four with diabetes and one healthy person) participated. They did a series of movements including walking, sitting, and standing. We considered the pressure measured by Pedar system as the gold standard. Furthermore, we changed the environment temperature and humidity during several experiments and considered the environment temperature and humidity as gold standard. We compared the measured values by sensors with these gold standards.

RESULTS

The evaluation indicated the accurate performance of pressure, humidity and temperature sensors. Sensitivity, specificity, accuracy, positive predictive value, and negative predictive value of the system to provide alarms based on the pressure measured using Pedar were 100, 50, 92.5, 91.8, and 100 %, respectively. The performance of temperature sensors in smart shoes was confirmed by slight differences compared to thermometers. Relatively equal values of humidity measured by two sensors on the left and right feet and the increased difference with the environment humidity showed the exact humidity measured using these sensors.

CONCLUSION

This smart shoes monitors pressure, humidity, and temperature of patients' feet and sends this data to their smart phone by the Bluetooth module. Furthermore, it controls these parameters; as each of these parameters exceeds the defined threshold, alerts are given to patients for self-management.

Evaluation Criteria for Health Websites: Critical Review

Introduction: The significant usage of health websites and their roles as diagnostic and therapeutic tools have increased the importance of evaluating their credibility. Health websites are evaluated using the criteria introduced in the health guidelines; therefore, this study aimed to evaluate the adequacy of these criteria.Materials and Methods: In this critical review study, the guidelines for "Health Websites Evaluation" and "Website Evaluation in Other Subject Areas" were extracted using sensitive keywords from valid databases, classification, comparison and content analyses were performed using scientific methods designed in this study.Results: The results indicate that in terms of various components of health websites, the evaluation criteria are not adequate. Note that health website evaluation criteria are designed based on the evaluation criteria of other subject areas. Therefore, the criteria share problems similar to those of the guidelines for other subject areas, and they ignore the evaluation of the specific features of health websites. It is necessary to have reliable and accurate guidelines to evaluate health websites.Conclusion: One of the most significant advantages of these guidelines is that using software provides an infrastructure for the automatic evaluation of health websites. Thus, the evaluation results will be available to the general public in the form of a website ranking.

Design and development of a web-based registry for Coronavirus (COVID-19) disease

Background: The 2019 coronavirus (COVID-19) is a highly contagious disease associated with a high morbidity and mortality worldwide. The accumulation of data through a prospective clinical registry enables public health authorities to make informed decisions based on real evidence obtained from surveillance of COVID-19. This registry is also fundamental to providing robust infrastructure for future research surveys. The purpose of this study was to design a registry and its minimum data set (MDS), as a valid and reliable data source for reporting and benchmarking COVID-19. Methods: This cross sectional and descriptive study provides a template for the required MDS to be included in COVID-19 registry. This was done by an extensive literature review and 2 round Delphi survey to validate the content, which resulted in a web-based registry created by Visual Studio 2019 and a database designed by Structured Query Language (SQL). Results: The MDS of COVID-19 registry was categorized into the administrative part with 3 sections, including 30 data elements, and the clinical part with 4 sections, including 26 data elements. Furthermore, a web-based registry with modular and layered architecture was designed based on final data classes and elements. Conclusion: To the best of our knowledge, COVID-19 registry is the first designed instrument from information management perspectives in Iran and can become a homogenous and reliable infrastructure for collecting data on COVID-19. We hope this approach will facilitate epidemiological surveys and support policymakers to better plan for monitoring patients with COVID-19.

Monitoring of external predisposing factors for Diabetic Foot: A literature review and physicians' perspectives

Background: Diabetic foot is one of the most important complications of diabetes caused by the existence of some destructive factors in different anatomical locations of feet. Management and monitoring of these factors are very important to decrease or avoid ulcerating lesions of the foot. The purpose of this study is to identify and introduce the predisposing factors and anatomical locations associated with these destructive factors. Methods: First, we conducted a comprehensive review of different databases to identify the factors and associated anatomical locations from the previous studies. Then, we designed a questionnaire and invited physicians and specialists to express their perspectives on these factors and locations. The data were analyzed using SPSS version 23. Frequency, percentage, mean and standard deviation of these variables were calculated. Results: Based on the literature review, four factors, including pressure, moisture and sweat, temperature, and acceleration were identified as factors destructive to the tissues of the diabetic foot and worsen ulcers. The view of specialists approved the results of the literature review. Besides, there was an insignificant difference between the results of the literature review and the specialists' view in terms of anatomical locations that need to be continuously monitored. Conclusion: Monitoring the pressure in heel, first metatarsal, and first metatarsal head; moisture and sweat under the fingers, hallux and heels as well as the temperature at the first metatarsal, first metatarsal head, and the third metatarsal head are important in preventing ulceration, destructing the foot tissue, and accelerating the treatment process.