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.

Role of machine learning algorithms in suicide risk prediction: a systematic review-meta analysis of clinical studies.

OBJECTIVE: Suicide is a complex and multifactorial public health problem. Understanding and addressing the various factors associated with suicide is crucial for prevention and intervention efforts. Machine learning (ML) could enhance the prediction of suicide attempts. METHOD: A systematic review was performed using PubMed, Scopus, Web of Science and SID databases. We aim to evaluate the performance of ML algorithms and summarize their effects, gather relevant and reliable information to synthesize existing evidence, identify knowledge gaps, and provide a comprehensive list of the suicide risk factors using mixed method approach. RESULTS: Forty-one studies published between 2011 and 2022, which matched inclusion criteria, were chosen as suitable. We included studies aimed at predicting the suicide risk by machine learning algorithms except natural language processing (NLP) and image processing. The neural network (NN) algorithm exhibited the lowest accuracy at 0.70, whereas the random forest demonstrated the highest accuracy, reaching 0.94. The study assessed the COX and random forest models and observed a minimum area under the curve (AUC) value of 0.54. In contrast, the XGBoost classifier yielded the highest AUC value, reaching 0.97. These specific AUC values emphasize the algorithm-specific performance in capturing the trade-off between sensitivity and specificity for suicide risk prediction. Furthermore, our investigation identified several common suicide risk factors, including age, gender, substance abuse, depression, anxiety, alcohol consumption, marital status, income, education, and occupation. This comprehensive analysis contributes valuable insights into the multifaceted nature of suicide risk, providing a foundation for targeted preventive strategies and intervention efforts. CONCLUSIONS: The effectiveness of ML algorithms and their application in predicting suicide risk has been controversial. There is a need for more studies on these algorithms in clinical settings, and the related ethical concerns require further clarification.

Identifying mitigation strategies of comprehensive health centers against dust hazard: a qualitative study in Iran.

BACKGROUND: Exposure to dust can disrupt healthcare services and severely affect all activity domains of the health system. The aim of this study was to explore mitigation strategies for comprehensive health centers against dust hazard. METHOD: The present study was conducted using a qualitative design with a conventional content analysis approach in 2023. The participants in this study were managers and staff of comprehensive health centers and experts in health in disasters and emergencies in Kerman, Bam, Regan, and Ahvaz. Data were collected through interviews. Data collection continued until data saturation. The collected data were analyzed based on the steps proposed by Graneheim and Lundman. Participants' statements, after recording and transcribing, were categorized into semantic units. Data were analyzed by using MAXQDA software version 2020. RESULTS: The analysis of the data with 23 participants revealed 106 Codes, 13 sub- categories and 5 main categories including: (A) reducing the impact of dust hazards, (B) management functions, (C) empowerment and performance improvement, (D) maintaining and promoting safety, and (E) Inter-sectoral coordination to implement mitigation strategies. CONCLUSION: The findings showed that the mitigation strategies and solutions can be used by health policymakers and planners to reduce the impact of dust hazard, empower and motivate healthcare staff, develop training protocols to enhance risk perception of the staff and members of the community, create the necessary infrastructure for adoption of effective mitigation strategies in healthcare centers to create resilience and continue service delivery.

Development of the Dardashna Checklist for Identifying Triggers of Behavioral Change in Individuals With Dementia: A Qualitative Study.

The purpose of the current qualitative study was to describe the development of the Dardashna Checklist to clinically identify behavior change triggers in individuals with dementia. Semi-structured, in-depth, face-to-face interviews were conducted with four physicians and four experienced caregivers involved in the care of individuals with dementia. From analysis of participants' interviews, themes extracted included Triggers of Behavioral Change in Individuals With Dementia and Types of Behavioral Changes, using the checklist structure as a guide. The information gathered by this checklist conveys important messages to experienced physicians or caregivers who want to help less experienced caregivers or individuals with dementia. In this case, physicians' prescriptions and the responses of other experienced caregivers will be more targeted and useful. This checklist will help facilitate clinical care decisions, improve quality of life, reduce expenses and side effects of medications, and improve communication among persons with dementia, their caregivers, and health care providers. [Journal of Gerontological Nursing, 50(1), 37-46.].

Facilitators and barriers of mHealth interventions during the Covid-19 pandemic: systematic review.

BACKGROUND: With the spread of Covid-19 disease, health interventions related to the control, prevention, and treatment of this disease and other diseases were given real attention. The purpose of this systematic review is to express facilitators and barriers of using mobile health (mHealth) interventions during the Covid-19 pandemic. METHODS: In this systematic review, original studies were searched using keywords in the electronic database of PubMed until August 2022. The objectives and outcomes of these studies were extracted. Finally, to identify the facilitators and barriers of mHealth interventions, a qualitative content analysis was conducted based on the strengths, weaknesses, opportunities, and threats (SWOT) analysis method with Atlas.ti 8 software. We evaluated the studies using the Mixed Methods Appraisal Tool (MMAT). RESULTS: In total, 1598 articles were identified and 55 articles were included in this study. Most of the studies used mobile applications to provide and receive health services during the Covid-19 pandemic (96.4%). The purpose of the applications was to help prevention (17), follow-up (15), treatment (12), and diagnosis (8). Using SWOT analysis, 13 facilitators and 18 barriers to patients' use of mHealth services were identified. CONCLUSION: Mobile applications are very flexible technologies that can be customized for each person, patient, and population. During the Covid-19 pandemic, the applications designed due to lack of interaction, lack of time, lack of attention to privacy, and non-academic nature have not met their expectations of them.

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.

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.

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 usefulness of virtual, augmented, and mixed reality technologies in the diagnosis and treatment of attention deficit hyperactivity disorder in children: an overview of relevant studies.

BACKGROUND: Attention deficit hyperactivity disorder (ADHD) is a neurodevelopmental condition characterized by attention problems, excessive physical activity, and impulsivity. ADHD affects not only the patients but also their families. The development and use of technologies such as virtual reality (VR), augmented reality (AR), and mixed reality (MR) for ADHD has increased over recent years. However, little is known about their potential usefulness. This overview aimed to clarify the current knowledge about the use of these three innovative technologies for the diagnosis and treatment of children with ADHD. METHODS: This overview was conducted using the PubMed, Web of Science, and Scopus databases until January 24th, 2021. The following descriptive information was compiled from the identified studies: country, year of publication, sample size, study design, ADHD diagnosis methods, applied technology, hardware equipment, clinical target, and main findings. RESULTS: The initial database searches yielded 409 articles, but 103 were removed as duplicates. Eventually, 30 eligible studies remained for analysis, the majority of which were case-control (n = 22, 73%). Regarding the applied technology/hardware equipment, VR (n = 27; 90%), head-mounted displays (n = 19, 63%), VR-based continuous performance tests (VR-CPT) (n = 21, 70%) were most frequently used. Most studies (n = 21, 70%) used the DSM criteria for the diagnosis of childhood ADHD. They primarily evaluated the utility of these technologies in assessing ADHD symptoms (n = 10, 33%) and improving the ADHD diagnostic process (n = 7, 23%). CONCLUSION: This comprehensive overview evaluated the studies on the use of VR, AR, and MR technologies for children with ADHD. These technologies seem to be promising tools for improving the diagnosis and management of ADHD in this population.

Validation of the Persian version of the Perinatal Anxiety Screening Scale (PASS) among antenatal and postnatal women.

BACKGROUND: Anxiety disorder is more common in women than men. To some extent, it can be attributed to childbirth and factors related to pregnancy in women. Therefore, it is necessary for mothers to use valid and reliable scale to assess perinatal anxiety, such as the perinatal anxiety screening scale (PASS). The purpose of this study was to investigate the validity and reliability of the PASS in Persian language. METHODS: The PASS was translated into Persian (PASS-IR). Generally, 224 women antenatal and 125 postnatal answered the questions of PASS, EPDS-10, BAI and DASS-21 questionnaires. The data was collected in the health centers of Kerman by random sampling method. Finally, content validity, factor analysis, internal consistency and test-retest reliability were evaluated. RESULTS: The mean age of the participants was 32.89 years (range between 18 and 45 and SD = 6.23). More than half of the participating were at risk of severe anxiety (53.5%). Content Validity Index (CVI) and Content Validity Ratio (CVR) were 0.80 and 0.87. PASS-IR subscales include social anxiety and specific fears, general anxiety and adjustment, acute anxiety and trauma, and perfectionism and control. PASS-IR was significantly correlated with EPDS-10 (rho = 0.42), BAI (rho = 0.53), DASS-21 with three concepts of depression, anxiety and stress (rho = 0.51, rho = 0.49 and rho = 0.49), and adverse life events (rho = 0.30). CONCLUSION: The results of this study show that PASS-IR has good validity and reliability. Therefore, it can be used to screen for anxiety disorder among Iranian women in the perinatal stage.

Providing telenursing care for victims: a simulated study for introducing of possibility nursing interventions in disasters.

INTRODUCTION: Uncertainty occurrence of disasters requires special attention and a shortage of health care specialists is a challenge for health care systems; therefore, the use of telenursing care during a disaster is an appropriate way to provide care. This study aimed to investigate telenursing operational possibilities in disasters. METHODS: A cross-sectional study was performed by implementing a functional exercise (Drill) for the possibility of nursing interventions in the response phase to disasters at Kerman University of Medical Sciences in 2021. Two evaluators examined and scored the possibility of providing telenursing care using a researcher-made checklist and we surveyed Inter-rater agreement between two evaluators by Cohen's kappa coefficient. Data were analyzed using descriptive tests and SPSS 20 software. RESULTS: Findings showed that implementation of telenursing care would be helpful in future disasters. The scores received from assessment of the evaluation checklist for this simulated exercise program by the first evaluator was 83.25 and for the second evaluator was 72.00. The results of the study showed that the mean score of the possibility of telenursing in disasters was at a high level 77.50. Thus, the quality of the telenursing care in simulated conditions was satisfactory. CONCLUSION: Today, disaster management is almost impossible without using new technologies. This study found that due to the lack of specialized nursing staff in the deprived areas affected by disasters, the most important way to provide health care for a large group of the population is to develop effective health services so that everyone can use these services equally and fairly.

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.

The most used questionnaires for evaluating satisfaction, usability, acceptance, and quality outcomes of mobile health.

BACKGROUND: Various questionnaires are used for evaluating satisfaction, usability, acceptance, and quality outcomes of mobile health (mHealth) services. Using the best one to meet the needs of an mHealth study is a challenge for researchers. Therefore, this study aimed to review and determine the frequently used questionnaires for evaluating the mentioned outcomes of mHealth services. METHODS: The PubMed database was searched for conducting this review in April 2021. Papers that used a referenced questionnaire to evaluate the satisfaction, usability, acceptance, or quality outcomes of mHealth were included. The first author's name, year of publication, evaluation outcome, and evaluation questionnaire were extracted from relevant papers. Data were analyzed using descriptive statistics. RESULTS: In total, 247 papers were included in the study. Questionnaires were used for usability (40%), quality (34.5%), acceptance (8.5%), and satisfaction (4%) outcomes, respectively. System usability scale (36.5%), mobile application rating scale (35.5%), post study system usability questionnaire (6%), user mobile application rating scale (5%), technology acceptance model (4.5%), computer system usability questionnaire (2.5%), net promoter score (2%), health information technology usability evaluation scale (2%), the usefulness, satisfaction, and ease of use (1.5%), client satisfaction questionnaire (1.5%), unified theory of acceptance and use of technology (1.5%), questionnaire for user interaction satisfaction (1%), user experience questionnaire (1%), and after-scenario questionnaire (1%) were the most used questionnaires, respectively. CONCLUSION: Despite the existence of special questionnaires for evaluating several outcomes of mHealth, general questionnaires with fewer items and higher reliability have been used more frequently. Researchers should pay more attention to questionnaires with a goal-based design.

Methods of Reimbursement for Telemedicine Services: A Scoping Review.

Background: With the advent of coronavirus-2019 (COVID-19), telemedicine services have played an essential role in reducing the transmission of this virus between patients and health care providers. Nevertheless, financial and reimbursement barriers are the biggest challenge in adopting these technologies. It seems necessary to determine the successful reimbursement methods in different countries. The purpose of this study was to identify methods of reimbursing telemedicine services. Methods: A search without time limitation was conducted on the PubMed, Web of Science, and Scopus databases in December 2020 and updated in January 2022. Articles were identified using predefined inclusion and exclusion criteria. Two researchers independently evaluated the titles, abstracts, and full text of the articles. Results: Out of 4946 identified articles, 28 articles were included. In these studies, the most used insurances were Medicare (n = 17), and Medicaid (n = 15). The majority of services included telepsychiatry (n = 7), telehealth (n = 7), and telemedicine (n = 7). There was no difference between the reimbursements in telemedicine services and face-to-face visits in 18 studies. Conclusion: Various government, state, and private insurance reimbursed telemedicine services. In most studies, there was no difference between reimbursing telemedicine services and in-person visits. Differences in the type and number of reimbursements may be due to the year of publication of the articles, changes in covered service policies, and state laws. Because of the COVID-19 pandemic, it is crucial to develop and update the guidelines and regulations for telemedicine reimbursement. Future studies can examine the telemedicine reimbursement methods in developed and developing countries before and after the COVID-19 pandemic.

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.

A study on women's health information needs in menopausal age.

Menopause is a natural event experienced by women in middle age. To help women manage this event, it is important to identify their health information needs. A study specific questionnaire was used to identify menopausal women's health information needs and the resources and challenges related to finding information about menopause. A total of 301 women aged 48-55 years completed the questionnaire. Data were analysed using negative binomial regression and chi-square tests. The most frequently sought information was that related to breast cancer (n = 209, 69.5%), hot flushes (n = 200, 66.5%), cervical cancer (n = 194, 64.5%), non-hormonal therapies for menopausal symptoms (n = 192, 64%), laboratory tests (n = 189, 63%) and joint and muscle pain (n = 188, 62.5%). The main sources of information were audiovisual media (n = 171, 57%), obstetricians (n = 165, 55%), friends (n = 157, 52%), family (n = 157, 52%) and the internet (n = 153, 51%). The two main challenges were not knowing how to correctly access information (n = 115, 38%) and not being aware of reliable sources of information (n = 108, 36%). Therefore, it is essential for policymakers and decision-makers to provide reliable and accurate information to increase awareness and reduce anxiety of women experiencing menopause.

Digital Health Solutions to Control the COVID-19 Pandemic in Countries With High Disease Prevalence: Literature Review.

BACKGROUND: COVID-19, the disease caused by the novel coronavirus SARS-CoV-2, has become a global pandemic, affecting most countries worldwide. Digital health information technologies can be applied in three aspects, namely digital patients, digital devices, and digital clinics, and could be useful in fighting the COVID-19 pandemic. OBJECTIVE: Recent reviews have examined the role of digital health in controlling COVID-19 to identify the potential of digital health interventions to fight the disease. However, this study aims to review and analyze the digital technology that is being applied to control the COVID-19 pandemic in the 10 countries with the highest prevalence of the disease. METHODS: For this review, the Google Scholar, PubMed, Web of Science, and Scopus databases were searched in August 2020 to retrieve publications from December 2019 to March 15, 2020. Furthermore, the Google search engine was used to identify additional applications of digital health for COVID-19 pandemic control. RESULTS: We included 32 papers in this review that reported 37 digital health applications for COVID-19 control. The most common digital health projects to address COVID-19 were telemedicine visits (11/37, 30%). Digital learning packages for informing people about the disease, geographic information systems and quick response code applications for real-time case tracking, and cloud- or mobile-based systems for self-care and patient tracking were in the second rank of digital tool applications (all 7/37, 19%). The projects were deployed in various European countries and in the United States, Australia, and China. CONCLUSIONS: Considering the potential of available information technologies worldwide in the 21st century, particularly in developed countries, it appears that more digital health products with a higher level of intelligence capability remain to be applied for the management of pandemics and health-related crises.

The most used questionnaires for evaluating telemedicine services.

BACKGROUND: Questionnaires are commonly used tools in telemedicine services that can help to evaluate different aspects. Selecting the ideal questionnaire for this purpose may be challenging for researchers. This study aims to review which questionnaires are used to evaluate telemedicine services in the studies, which are most common, and what aspects of telemedicine evaluation do they capture. METHODS: The PubMed database was searched in August 2020 to retrieve articles. Data extracted from the final list of articles included author/year of publication, journal of publication, type of evaluation, and evaluation questionnaire. Data were analyzed using descriptive statistics. RESULTS: Fifty-three articles were included in this study. The questionnaire was used for evaluating the satisfaction (49%), usability (34%), acceptance (11.5%), and implementation (2%) of telemedicine services. Among telemedicine specific questionnaires, Telehealth Usability Questionnaire (TUQ) (19%), Telemedicine Satisfaction Questionnaire (TSQ) (13%), and Service User Technology Acceptability Questionnaire (SUTAQ) (5.5%), were respectively most frequently used in the collected articles. Other most used questionnaires generally used for evaluating the users' satisfaction, usability, and acceptance of technology were Client Satisfaction Questionnaire (CSQ) (5.5%), Questionnaire for User Interaction Satisfaction (QUIS) (5.5%), System Usability Scale (SUS) (5.5%), Patient Satisfaction Questionnaire (PSQ) (5.5%), and Technology Acceptance Model (TAM) (3.5%) respectively. CONCLUSION: Employing specifically designed questionnaires or designing a new questionnaire with fewer questions and more comprehensiveness in terms of the issues studied provides a better evaluation. Attention to user needs, end-user acceptance, and implementation processes, along with users' satisfaction and usability evaluation, may optimize telemedicine efforts in the future.

Effect of Computerized Physician Order Entry and Clinical Decision Support System on Adverse Drug Events Prevention in the Emergency Department: A Systematic Review.

Objective: An adverse drug event (ADE) is an injury resulting from a medical intervention related to a drug. The emergency department (ED) is a ward vulnerable to more ADEs because of overcrowding. Information technologies such as computerized physician order entry (CPOE) and clinical decision support system (CDSS) may decrease the occurrence of ADEs. This study aims to review research that reported the evaluation of the effectiveness of CPOE and CDSS on lowering the occurrence of ADEs in the ED. Data Sources: PubMed, EMBASE, and Web of Science databases were used to find studies published from 2003 to 2018. The search was conducted in November 2018. Study Selection and Data Extraction: The search resulted in 1700 retrieved articles. After applying inclusion and exclusion criteria, 11 articles were included. Data on the date, country, type of system, medication process stages, study design, participants, sample size, and outcomes were extracted. Data Synthesis: Results showed that CPOE and CDSS may prevent ADEs in the ED through significantly decreasing the rate of errors, ADEs, excessive dose, and inappropriate prescribing (in 54.5% of articles); furthermore, CPOE and CDSS may significantly increase the rate of appropriate prescribing and dosing in compliance with established guidelines (45.5% of articles). Conclusion: This study revealed that the use of CPOE and CDSS can lower the occurrence of ADEs in the ED; however, further randomized controlled trials are needed to address the effect of a CDSS, with basic or advanced features, on the occurrence of ADEs in the ED.

Review of Systematic Reviews in the Field of Telemedicine.

Background: Although the systematic reviews regarding telemedicine have increased in recent decades, no comprehensive studies have been conducted to review these systematic reviews. The present study aimed to review the published systematic reviews regarding telemedicine applications for the report and appraisal of several aspects. Methods: The literature search was performed in the PubMed database for the systematic reviews published during January 2010-June 2020 in the field of telemedicine using "telemedicine" Mesh terms. The extracted data from the selected articles were the year of publication, telemedicine specialty, clinical outcomes, cost evaluation, and satisfaction assessment. Data analysis was performed using descriptive statistics. Results: Among 746 retrieved articles, 191 cases were selected and reviewed. Most of the studies were focused on telemedicine (n=35; 18.3%), followed by telerehabilitation (n=22; 11.5%), tele-diabetes (n=18; 9.4%), telecardiology (n=16; 8.3%), home telecare (n=13; 6.8%), telepsychiatry (n=12; 6.3%), teledermatology (n=11; 5.7%), and teleneurology (n=9; 4.7%). The selected studies were primarily focused on clinical outcomes (72.7%), followed by cost-effectiveness (32.4%) and user satisfaction (29.3%). In addition, they mostly indicated that telemedicine services yielded acceptable clinical outcomes (72.5%), cost-effectiveness (67.7%), and healthcare provider/patient satisfaction (83.9%). Conclusion: Although telerehabilitation, tele-diabetes, telecardiology, home telecare, and telepsychiatry were studied further, there are still some specific specialties such as teleradiology, telepathology, and telepediatric that should be considered more. Moreover, investigation of various outcomes could result in a more comprehensive view of this field. Therefore, further investigations in this regard would improve telemedicine applications and encourage potential telemedicine providers to initiate these applications.