Investigating the Effect of Virtual Reality on Reducing the Anxiety in Children: A Systematic Review

Ghaddaripouri, Kosar; Baigi, Seyyedeh Fatemeh Mousavi; Noori, Nazanin; Habibi, Mohammad Reza Mazaheri

doi:10.30699/fhi.v11i1.373

Cited by 12 publications

(13 citation statements)

References 26 publications

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“… 4 There are countless reasons why implementing eHealth systems is still challenging despite the available studies on clinical benefits, efficacy costs, and increased access to healthcare services at the macrolevel. 5 , 6 , 7 Regardless of the potential advantages and technical superiority of telemedicine, its admission is often known as a failed project, 8 and the user's nonacceptance is one of the significant reasons for its failure. 9 Put differently, the success of every new technology depends on numerous factors, including specialists' knowledge and perceptions of the concept, acquired attitude skills, and work environments.…”

Section: Introductionmentioning

confidence: 99%

“…The health domain has experienced a slower trend than other sectors in employing ICT 4 . There are countless reasons why implementing eHealth systems is still challenging despite the available studies on clinical benefits, efficacy costs, and increased access to healthcare services at the macrolevel 5–7 . Regardless of the potential advantages and technical superiority of telemedicine, its admission is often known as a failed project, 8 and the user's nonacceptance is one of the significant reasons for its failure 9 .…”

Section: Introductionmentioning

confidence: 99%

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Attitude, awareness, and knowledge of telemedicine among medical students: A systematic review of cross‐sectional studies

Ghaddaripouri

Baigi

Abbaszadeh

et al. 2023

Health Science Reports

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Background and Aims The success of every new technology depends on numerous factors, including specialists' knowledge and perceptions of the concept, acquired attitude skills, and work environments. This systematic review aimed to examine medical students' knowledge, attitudes, and perceptions of telemedicine. Methods Studies were obtained from the PubMed, Embase, Scopus, and Web of Science databases on June 9, 2022. We followed the Preferred Reporting Items for Systematic Reviews and Meta‐Analyses guidelines. Cross‐sectional studies that examined medical students' knowledge, attitude, and perceptions of telemedicine approaches were considered inclusion criteria. Titles and abstracts were independently screened based on eligibility criteria. Articles that did not meet the inclusion criteria were excluded from this review. After that, the complete texts were retrieved and screened by two separate researchers based on the eligibility criteria. Disputes were resolved by discussion. The same checklist was used for data extraction. To assess the quality of the studies entering this study, the Joanna Briggs Institute Critical Appraisal Checklist for analytical cross‐sectional studies was used. Results In total, 10 eligible articles were found through this review. The sample size of the studies ranged from 60 to 3312 participants, or 6172 participants on the whole. The medical students' attitudes toward telemedicine were evaluated in eight included studies. Many of these studies (seven cases) reported positive and promising perspectives on telemedicine. However, in one study, participants revealed moderate attitudes toward online health information and online health experience sharing ( p < 0.05). Students' knowledge of the telemedicine approach was evaluated in eight included studies. Many of these studies (five cases) reported that students possessed an extensively poor knowledge of telemedicine's uses. In three other studies, two reported moderate and one disclosed desirable levels of students' knowledge. All the included studies attributed medical students' poor knowledge to the lack of, and thus failure of, educational courses in this field. Conclusion The evidence obtained from this review reveals that medical students possess positive and promising attitudes toward telemedicine technology for education, treatment, and care. However, their knowledge levels were extremely insufficient, and many had not passed any educational courses in this respect. Such results can foreground the health and education policymakers' obligations for planning, training, and empowering digital health and telemedicine literacy among medical students as the primary players in social health.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Attitude, awareness, and knowledge of telemedicine among medical students: A systematic review of cross‐sectional studies

Ghaddaripouri

Baigi

Abbaszadeh

et al. 2023

Health Science Reports

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“…Consequently, to facilitate decision‐making and reduce avoidable hospital admissions and extended antibiotic usage, highly accurate clinical decision support systems (CDSS) are required. The use of digital technologies is not a new issue in the management of diseases today 15–23 . Over the past six decades, artificial intelligence (AI) has been widely used in many areas of medical research and clinical practice 24,25 .…”

Section: Introductionmentioning

confidence: 99%

“…The use of digital technologies is not a new issue in the management of diseases today. [15][16][17][18][19][20][21][22][23] Over the past six decades, artificial intelligence (AI) has been widely used in many areas of medical research and clinical practice. 24,25 These days, AI methods like artificial neural networks (ANN) are being used by healthcare organizations to enhance data analysis, clinical diagnosis, cancer and other illness prediction, image analysis and interpretation, medication creation, and patient care.…”

Section: Introductionmentioning

confidence: 99%

The effect of machine learning algorithms in the prediction, and diagnosis of meningitis: A systematic review

Ghaddaripouri,

Mousavi

et al. 2024

Health Science Reports

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Background and AimsThis systematic review aimed to evaluating the effectiveness of machine learning (ML) algorithms for the prediction and diagnosis of meningitis.MethodsOn November 12, 2022, a systematic review was carried out using a keyword search in the reliable scientific databases PubMed, EMBASE, Scopus, and Web of Science. The recommendations of Preferred Reporting for Systematic Reviews and Meta‐Analyses (PRISMA) were adhered to. Studies conducted in English that employed ML to predict and identify meningitis were deemed to match the inclusion criteria. The eligibility requirements were used to independently review the titles and abstracts. The whole text was then obtained and independently reviewed in accordance with the eligibility requirements.ResultsAfter all the research matched the inclusion criteria, a total of 16 studies were added to the systematic review. Studies on the application of ML algorithms in the three categories of disease diagnosis ability (8.16) and disease prediction ability (8.16) (including cases related to identifying patients (50%), risk of death in patients (25%), the consequences of the disease in childhood (12.5%), and its etiology [12.5%]) were placed. Among the ML algorithms used in this study, logistic regression (LR) (4.16, 25%) and multiple logistic regression (MLR) (4.16, 25%) were the most used. All the included studies indicated improvements in the processes of diagnosis, prediction, and disease outbreak with the help of ML algorithms.ConclusionThe results of the study showed that in all included studies, ML algorithms were an effective approach to facilitate diagnosis, predict consequences for risk classification, and improve resource utilization by predicting the volume of patients or services as well as discovering risk factors. The role of ML algorithms in improving disease diagnosis was more significant than disease prediction and prevalence. Meanwhile, the use of combined methods can optimize differential diagnoses and facilitate the decision‐making process for healthcare providers.

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“…[ 8 ] Telerehabilitation provides rehabilitation services using various technologies, including virtual reality, mobile phone applications, artificial intelligence, iPad, mobile games, online video conferencing, and others. [ 9 10 11 12 13 14 ] Previous studies have shown that telerehabilitation is effective, safe, and feasible in patients with chronic obstructive pulmonary disease,[ 15 ] patients with coronavirus disease 2019 (COVID-19),[ 16 ] and patients undergoing chemotherapy. [ 17 ] Also, Baigi et al .…”

Section: Introductionmentioning

confidence: 99%

The effect of telerehabilitation on improving the physical activity of patients with osteoarthritis: A systematic review

Baigi,

Kimiafar,

Ghaddaripouri

et al. 2023

Journal of Education and Health Promotion

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This systematic review aimed to evaluate the effect of telerehabilitation on improving physical activity, physical function, and quality of life in patients with osteoarthritis (OA). A systematic review of randomized controlled trial studies was conducted without a time limit by searching for keywords in the title, abstract, and study keywords in the scientific databases Embase, Web of Science, Scopus, and PubMed on October 20, 2021. This study was conducted according to Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines. Titles and abstracts were retrieved based on the inclusion, exclusion, and quality assessment criteria. Then, full texts were retrieved and reviewed independently by two separate authors based on the eligibility criteria. Disputes were resolved through discussion. A form with the same predefined elements was used to extract data. Totally, eight eligible articles were found through this review. The studies on telerehabilitation approaches were categorized into three categories, which are: home-based exercise programs by online mobile applications, sports counseling and physiotherapist support via telephone calls, and Internet-based exercise training (IBET). In four studies (57%), telerehabilitation was effective in the short term for some months and improved the performance, self-efficacy, and quality of life of participants. On the other hand, in the long-term effects, there was no difference in participants' improvement (43%). In long-term follow-up, there was no difference between the efficiency of traditional rehabilitation and telerehabilitation in improving the physical performance and quality of life. However, telerehabilitation can be a viable alternative to traditional physiotherapy in patients with OA.

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Investigating the Effect of Virtual Reality on Reducing the Anxiety in Children: A Systematic Review

Cited by 12 publications

References 26 publications

Attitude, awareness, and knowledge of telemedicine among medical students: A systematic review of cross‐sectional studies

Attitude, awareness, and knowledge of telemedicine among medical students: A systematic review of cross‐sectional studies

The effect of machine learning algorithms in the prediction, and diagnosis of meningitis: A systematic review

The effect of telerehabilitation on improving the physical activity of patients with osteoarthritis: A systematic review

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