Application of virtual reality for supportive care in cancer patients: a systematic review.

BACKGROUND: In recent years, virtual reality (VR) technology has been widely used to support cancer patients with physical, emotional, and functional needs. This systematic review aimed to investigate the application of VR in the supportive care of cancer patients. METHOD: This systematic review was conducted in 2024. In this study, various databases including PubMed, Web of Science, Scopus, the Cochrane Library, Ovid, IEEE Xplore, and ProQuest were searched, and quantitative, qualitative, and mixed-method studies which were in English and published up to 20th May 2024 were included. The keywords consisted of "virtual reality," "supportive care," and "cancer". Studies were assessed in terms of quality and risk of bias using standard tools, and results were analyzed and reported narratively. RESULTS: A total of 33 articles were reviewed. VR interventions, primarily using fully immersive head-mounted displays, were associated with significant reductions in anxiety, pain, and fatigue. VR also improved mood, relaxation, and overall quality of life, and some studies noted enhanced vital signs such as heart rate and blood pressure. This technology could be used along with other medical interventions. Both patients and healthcare providers reported high level of satisfaction with VR, and appreciated its ease of use and therapeutic benefits. However, some technical barriers, like inadequate visual performance and realism, were reported. CONCLUSION: VR demonstrates substantial potential benefits as a supportive care tool for cancer patients, effectively addressing their psychological, physiological, psychosocial needs. Despite technical challenges, high level of user satisfaction and benefits underscore the need for further research to optimize VR interventions in cancer care.

Motivating and inhibiting factors influencing the application of mhealth technology in post-abortion care: a review study.

BACKGROUND: Abortion and its complications are challenges that endanger women's health, especially in developing countries. It seems that the application of mhealth technology can be useful as a safe and affordable strategy in post-abortion care. The purpose of this study was to identify factors influencing the use of mhealth technology in post-abortion care. METHODS: This was a review study conducted in 2023 and articles published in English between 2010 and 1st November 2023 were searched in PubMed, Scopus, ProQuest, Web of Science, and Embase databases as well as Google Scholar. Data were collected using a data extraction form and were analyzed narratively. RESULTS: The influencing factors could be divided into the motivating and inhibiting factors. The motivating factors included the subgroups of the individual factors (e.g., saving time), technical factors (e.g., usability), economic factors (e.g., saving costs), and ethico-legal factors (e.g., improving security and confidentiality of the information). Similarly, the inhibiting factors consisted of individual factors (e.g., fear of expressing abortion), technical factors (e.g., a lack of access to the network and the Internet), economic factors (e.g., inappropriate patient financial status), and ethico-legal (e.g., concerns over the security and confidentiality of information). CONCLUSION: This study underscores the importance of considering various technical and non-technical factors influencing the design and implementation of mHealth technology in post-abortion care. Developers need to address these factors to ensure successful technology adoption and mitigate risks. The findings contribute to the enhancement of women's health and offer insights for future technology acceptance models in the mHealth field.

The application of health information technology for the elderly care in the emergency department: a conceptual model.

INTRODUCTION: In the emergency departments (EDs), usually the longest waiting time for treatment and discharge belongs to the elderly patients. Moreover, the number of the ED admissions for the elderly increases every year. It seems that the use of health information technology in geriatric emergency departments can help to reduce the burden of the healthcare services for this group of patients. This research aimed to develop a conceptual model for using health information technology in the geriatric emergency department. METHODS: This study was conducted in 2021. The initial conceptual model was designed based on the findings derived from the previous research phases (literature review and interview with the experts). Then, the model was examined by an expert panel (n = 7). Finally, using the Delphi technique (two rounds), the components of the conceptual model were reviewed and finalized. To collect data, a questionnaire was used, and data were analyzed using descriptive statistics. RESULTS: The common information technologies appropriate for the elderly care in the emergency departments included emergency department information system, clinical decision support system, electronic health records, telemedicine, personal health records, electronic questionnaires for screening, and other technologies such as picture archiving and communication systems (PACS), electronic vital sign monitoring systems, etc. The participants approved all of the proposed systems and their applications in the geriatric emergency departments. CONCLUSION: The proposed model can help to design and implement the most useful information systems in the geriatric emergency departments. As the application of technology accelerates care processes, investing in this field would help to support the care plans for the elderly and improve quality of care services. Further research is recommended to investigate the efficiency and effectiveness of using these technologies in the EDs.

Covid-19 hotlines, helplines and call centers: a systematic review of characteristics, challenges and lessons learned.

BACKGROUND: During the Covid-19 pandemic, a number of hotlines/helplines/call centers was implemented to provide remote services and support public health. The objective of this study was to investigate the characteristics, challenges and lessons learned of implementing Covid-19 hotlines/helplines/call centers during the pandemic. METHODS: PubMed, Web of Science, Scopus, the Cochrane Library, IEEE Xplore, and ProQuest databases as well as Google Scholar were searched between 1st January 2020 and 31st December 2023 to retrieve relevant articles published in English. The quality and risk of bias of the studies were assessed using the Appraisal tool for Cross-Sectional Studies (AXIS), the Mixed Methods Appraisal Tool (MMAT), and Critical Appraisal Skills Programme (CASP) Checklist. RESULTS: In total, 43 out of 1440 articles were included in this study. About half of the hotlines/helplines/call centers were launched in March 2020 (n = 19). Providing psychological support (n = 23), reliable information about Covid-19 (n = 10), healthcare advices about Covid-19 (n = 8), and triage (n = 7) were the most common purposes of implementing these services. The most common challenges included a lack of physical examination, unavailability of hotlines/helplines/call centers at the point of need, and delay in updating Covid-19 information. The most common lessons learned were employing qualified staff, providing proper training, and getting feedback from the callers and operators. CONCLUSION: According to the results, most of the Covid-19 hotlines/helplines/call centers were launched in the early months of the pandemic, and about half of them were active seven days a week. Most of the operators were mental health providers and clinicians. The findings show the importance of continuous psychological support during crises, particularly when adequate information about the situation is not available. The challenges experienced by the callers and operators as well as the lessons learned by the service providers also need to be considered for future crises to increase the effectiveness of similar services.

An insight into the use of telemedicine technology for cancer patients during the Covid-19 pandemic: a scoping review.

BACKGROUND: The use of telemedicine technology has significantly increased in recent years, particularly during the Covid-19 pandemic. This study aimed to investigate the use of telemedicine technology for cancer patients during the Covid-19 pandemic. METHODS: This was a scoping review conducted in 2023. Various databases including PubMed, Web of Science, Scopus, Cochrane Library, Ovid, IEEE Xplore, ProQuest, Embase, and Google Scholar search engine were searched. All quantitative, qualitative, and mixed-method studies published in English between 2020 and 2022 were included. Finally, the needed data were extracted, and the results were synthesized and reported narratively. RESULTS: A total of 29 articles were included in this review. The results showed that teleconsultation, televisit, and telerehabilitation were common telemedicine services, and video conferencing and telephone were common technologies used in these studies. In most cases, patients and healthcare providers preferred these services compared to the face-to-face consultations due to their convenience and advantages. Furthermore, the findings revealed that in terms of clinical outcomes, telemedicine could effectively reduce anxiety, pain, sleep disorders, and hospital admission rates. CONCLUSION: The findings provided valuable insights into the various telemedicine technologies, services, users' perspectives, and clinical outcomes in cancer patients during the Covid-19 pandemic. Overall, the positive outcomes and users' satisfaction showed that the use of telemedicine technology can be expanded, particularly in cancer care. Future research needs to investigate both clinical and non-clinical effectiveness of using various telemedicine services and technologies for improving cancer care delivery, which can help to develop more successful strategies for implementing this technology.

Machine Learning Techniques for Predicting Drug-Related Side Effects: A Scoping Review.

BACKGROUND: Drug safety relies on advanced methods for timely and accurate prediction of side effects. To tackle this requirement, this scoping review examines machine-learning approaches for predicting drug-related side effects with a particular focus on chemical, biological, and phenotypical features. METHODS: This was a scoping review in which a comprehensive search was conducted in various databases from 1 January 2013 to 31 December 2023. RESULTS: The results showed the widespread use of Random Forest, k-nearest neighbor, and support vector machine algorithms. Ensemble methods, particularly random forest, emphasized the significance of integrating chemical and biological features in predicting drug-related side effects. CONCLUSIONS: This review article emphasized the significance of considering a variety of features, datasets, and machine learning algorithms for predicting drug-related side effects. Ensemble methods and Random Forest showed the best performance and combining chemical and biological features improved prediction. The results suggested that machine learning techniques have some potential to improve drug development and trials. Future work should focus on specific feature types, selection techniques, and graph-based methods for even better prediction.

Adverse Drug Reactions in Children with Congenital Heart Disease: A Scoping Review.

BACKGROUND: Congenital heart disease (CHD) is one of the leading causes of death. Safe and timely medical interventions, especially in children, can prolong their survival. The drugs prescribed for children with CHD are mainly based on the outcomes of drug therapy in adults with cardiovascular diseases, and their adverse drug reactions (ADRs) might be different. Therefore, the aim of this study was to investigate ADRs in children with CHD. METHODS: This was a scoping review conducted in 2023. PubMed, Web of Science, Scopus, the Cochrane Library, Ovid, ProQuest, and Google Scholar databases were searched. All studies that reported ADRs for children with CHD and were published in English by 1 November 2023 were included in this study. Finally, the results were reported using a content analysis method. RESULTS: A total of 87 articles were included in the study. The results showed that symptoms/signs/clinical findings, and cardiovascular disorders were the most common ADRs reported in children with CHD. The results also showed that most of the ADRs were reported for prostaglandin E1, amiodarone, prostaglandin E2, dexmedetomidine, and captopril, respectively. CONCLUSION: The review underscores the wide array of ADRs in children with CHD, particularly in antiarrhythmics, diuretics, beta-blockers, anticoagulants, and vasodilators, which affected cardiovascular, respiratory, endocrine, metabolic, genitourinary, gastrointestinal, and musculoskeletal systems. Tailored treatment is imperative, considering individual patient characteristics, especially in the vulnerable groups. Further research is essential for optimizing dosing, pharmacogenetics, and alternative therapies to enhance patient outcomes in CHD management.

Challenges of using telemedicine for patients with diabetes during the COVID-19 pandemic: A scoping review.

Background: Telemedicine has aided patients with diabetes during the COVID-19 pandemic in receiving better healthcare services. However, despite its numerous benefits, the use of this technology has faced several challenges. This study aimed to identify the challenges of using telemedicine for patients with diabetes during the COVID-19 pandemic. Methods: This scoping review was conducted in 2024. Relevant articles published between 2020 and 2023 were searched in databases including PubMed, Scopus, Web of Science, ProQuest, and the Cochrane Library. Initially, 822 articles were retrieved, and after screening 21 articles were selected. Results: The challenges of using telemedicine for patients with diabetes during the COVID-19 pandemic were categorized into the clinical, individual, organizational, and technical challenges. The clinical challenges included the lack of physical examinations and unavailability of patients' medical history. The individual challenges contained difficulties in using smart phones by patients and their low level of literacy. The organizational challenges were related to insufficient laws about obtaining patient consent and limited reimbursement for telemedicine services, and the technical challenges included limited access to the high-speed Internet services and inadequate technical infrastructure for telemedicine services. Most studies highlighted the role of individual and organizational challenges in using this technology. Conclusions: Considering the numerous challenges experienced in using telemedicine for patients with diabetes during the COVID-19 pandemic, it seems that more attention should be paid to address each of these challenges to improve the actual usage, service quality, and user acceptance of telemedicine technology. This, in turn, can lead to saving costs and improving the health status and quality of life of patients with diabetes.