Frontiers in health informatics最新文献

{"title":"Effect of Telenursing Training on Death Anxiety in Nurses with a History of COVID-19","authors":"Fatemeh Azariannejad, Mahin Naderifar, Elaheh Asadi Bidmeshki, Mohammadreza Firouzkohi, Abdolghani Abdollahimohammad, Majid Reza Akbarizadeh","doi":"10.30699/fhi.v12i0.486","DOIUrl":"https://doi.org/10.30699/fhi.v12i0.486","url":null,"abstract":"Introduction: In light of the global spread of COVID-19 and its profound impact on public health and casualties, nurses have been thrust onto the front lines in the battle against this disease, resulting in heightened psychological distress and anxiety. Addressing these issues promptly and effectively is crucial during these challenging times. Therefore, this study aims to investigate the impact of telenursing training in reducing death anxiety among nurses with a history of COVID-19.Material and Methods: This quasi-experimental study involved two groups of 20 nurses with a history of COVID-19 and higher levels of death anxiety. Data were collected using Templer's death anxiety questionnaire and a demographic information questionnaire. In the test group, the intervention was conducted through WhatsApp groups over five sessions. Training methods to reduce death anxiety were presented through explanatory text, PowerPoint presentations, and audio files, with five-day intervals between sessions. The control group did not receive any intervention. Twenty days after the sessions, both groups completed the death anxiety questionnaire again. Data were analyzed using t-tests and chi-square tests.Results: The findings indicated a significant difference in the average score of death anxiety between the test and control group after telenursing training (p<0.05).Conclusion: Telenursing training effectively reduces death anxiety among nurses with a history of COVID-19. Telenursing proves to be a cost-effective and organized intervention for managing symptoms, early diagnosis of complications, ensuring post-care quality, exchanging information, and providing health education.","PeriodicalId":477354,"journal":{"name":"Frontiers in health informatics","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136133414","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Attention-based Deep Learning Approaches in Brain Tumor Image Analysis: A Mini Review","authors":"Mohammadreza Saraei, Sidong Liu","doi":"10.30699/fhi.v12i0.493","DOIUrl":"https://doi.org/10.30699/fhi.v12i0.493","url":null,"abstract":"Introduction: Accurate diagnosis is crucial for brain tumors, given their low survival rates and high treatment costs. However, traditional methods relying on manual interpretation of medical images are time-consuming and prone to errors. Attention-based deep learning, utilizing deep neural networks to selectively focus on relevant features, offers a promising solution.Material and Methods: This paper presents an overview of recent advancements in attention-based deep learning for brain tumor image analysis. While the reviewed models have demonstrated respectable performance across different datasets, they have yet to achieve state-of-the-art results.Results: Advanced techniques, including super-resolution image reconstruction, multi-swin-transformer blocks, and spatial group-wise enhanced attention blocks, have shown improved segmentation network performance. Integration of graph attention, swin-transformer, and gradient awareness minimization with positional attention convolution blocks, self-attention blocks, and intermittent fully connected layers has considerably enhanced the efficiency of classification networks.Conclusion: While attention-based deep learning has shown improvements in performance, challenges persist. These challenges include the requirement for large datasets, resource limitations, accurate segmentation of irregularly shaped tumors, and high computational demands. Future studies should address these challenges to further enhance the efficiency of brain tumor diagnoses in real-world settings.","PeriodicalId":477354,"journal":{"name":"Frontiers in health informatics","volume":"54 9","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136157746","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluation and Ranking of Persian Mobile Apps for COVID-19","authors":"Sharareh R. Niakan Kalhori, Rasool Nouri, Raheleh Salari, Marjan Ghazi Saeidi","doi":"10.30699/fhi.v12i0.442","DOIUrl":"https://doi.org/10.30699/fhi.v12i0.442","url":null,"abstract":"Introduction: Recently developed mobile apps for controlling COVID-19 have the potential to help fight the pandemic. But assurance regarding the quality of available apps is essential to proving their validity for usage. This study was aimed at evaluating and ranking the apps in Persian developed for COVID-19 in Iran.Material and Methods: 122 apps for COVID-19 in the Persian language were founded in the Miket, CafeBazar, ParsHub, and Charkhooneh app markets. Based on inclusion criteria, 13 apps were selected. The apps were evaluated by two independent reviewers and ranked according to a validated evaluation and ranking tool specifically for the Persian apps for information content, usability, design, ethics, security, privacy, and subjective quality. Kendall’s coefficient of concordance was used to calculate the agreement between two raters based on the mean of their scores for each app (p-value<0.05).Results: Five functional and subjective quality criteria were used. Mask was the app with the highest level of the specific score (mean score: 4.10, subjective quality: 4). The Corona test-Davoudi was the app with the lowest level of the specific score (mean score: 1.85, subjective quality: 1.50), which needs more improvement. The reviewed apps mainly need improvement for data security and privacy, requiring more technical tasks.Conclusion: There is a need for improvement, particularly in terms of privacy and data security, for Persian COVID-19 apps. Develop a valid guideline that could be effective in improving app quality. In addition, the modern technologies that have already proven successful worldwide should be considered by mobile app developers.","PeriodicalId":477354,"journal":{"name":"Frontiers in health informatics","volume":"57 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135322954","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comparison of Effects of WhatsApp-Based and Pamphlet-based Learning on the Awareness, Attitude, and Self-Efficacy of Pregnant Women about Urinary Tract Infections During the COVID-19 Pandemic","authors":"Sakineh Saghaeiannejad Isfahani, Elham Fallahnejad, Elahe Sadeghi Dormiani","doi":"10.30699/fhi.v12i0.499","DOIUrl":"https://doi.org/10.30699/fhi.v12i0.499","url":null,"abstract":"Introduction: Online and social network-based training and clinical interventions during pregnancy and immediately after pregnancy can be beneficial for women, empowering them in their role as a mother. Nowadays, due to the spread of the COVID-19 accompanied by a reduction in the number of referrals for maternity care, there has been a higher incidence of urinary infections among the pregnant women. Taking these into account, the present study aims to shed light on the effect of the WhatsApp-based learning on awareness, attitude, and self-efficacy in relation to UTIs among pregnant women compared to the pamphlet-based learning.Material and Methods: This semi-experimental study was conducted on 96 pregnant women at 30 weeks and less than 30 weeks of pregnancy who referred to the government Obstetrics and Gynecology Clinics in Isfahan city in 2021. The participants were simple randomly assigned to one of three independent groups, namely two intervention groups and one control group. Intervention took 6 weeks and the data were collected both before and after the intervention using a standardized questionnaire. SPSS software V21.0 and non-parametric statistical tests, including Wilcoxon, Kruskal-Wallis, and Mann-Whitney were used for data analysis.Results: The results showed that the mean score of the awareness before and after intervention increased from 11 to 26 and from 11 to 15 (X2=36.00, p<0.001) in the WhatsApp-based and the pamphlet-based learning group, respectively. Furthermore, the mean score of the attitude before and after intervention increased from 54 to 82 in the WhatsApp-based and from 53 to 58 (X2=60.00, p<0.001) in the pamphlet-based learning group. For self-efficacy, the mean score before and after intervention changed from 47 to 71 in WhatsApp-based and from 46 to 51 (X2=62.00, p<0.001) in the pamphlet-based learning group. In the control group, there is no difference in the mean score of the awareness, attitude and self-efficacy before and after the intervention.Conclusion: Online training and clinical interventions during pregnancy can be beneficial for women. In fact, sharing health information among pregnant women through social networks is related to better pregnancy management. It also increased their awareness, attitude and self-efficacy.","PeriodicalId":477354,"journal":{"name":"Frontiers in health informatics","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135943852","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Design and Development of A web-based Chronic Pain Registry System","authors":"Leila Shahmoradi, Arezo Baradaran, Poupak Rahimzadeh, Azimeh Danesh Shahraki","doi":"10.30699/fhi.v12i0.487","DOIUrl":"https://doi.org/10.30699/fhi.v12i0.487","url":null,"abstract":"Introduction: Chronic pain is a significant clinical problem in the world. No treatment is quite effective for chronic pain due to its complex nature. However timely retrieval of accurate and comprehensive information through organized clinical and epidemiological studies is an essential prerequisite for providing high-quality clinical care and more accurate health care planning. This can be achieved by the creation of an electronic registry system as a strong source of information. The purpose of this study was to develop and evaluate a chronic pain registry for patients with chronic pain syndromes.Material and Methods: In the current study, Onion architecture with the MVC design pattern was selected in design phase. Using onion architecture leads to more flexible and reusable codes and results in easier development and maintenance. In the development phase, MYSQL DBMS and the PHP programming language, which are suitable for developing the web-based system, were used.Results: The minimum data set was determined in the previous study. This dataset covered six areas: demographic information, initial pain assessment, medical history, mental health and well-being, diagnostic measures, and diagnosis and treatment plan. A web-based pain registry system was developed based on the minimum data set.Conclusion: There are many studies for development of web- based pain registries in the world but there is a few information about technical architecture and structure in design phase. In current study, we focused on the technical architecture design of system. Using onion architecture leads to more flexible and reusable codes and results in easier development and maintenance. In the current study, it was chosen to use MYSQL and the PHP programming language, which is suitable for developing the web-based system. Finally, a web-based registry system was developed to store and report on the information of patients suffering from chronic pain. It can manage and control chronic pain and facilitate future research.","PeriodicalId":477354,"journal":{"name":"Frontiers in health informatics","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135805952","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Minimum Data Set of Mucormycosis in Iran","authors":"Marzieh Baghoveh, Mahnaz Arian, Khalil Kimiafar, Mahdie ShojaeiBaghini","doi":"10.30699/fhi.v12i0.492","DOIUrl":"https://doi.org/10.30699/fhi.v12i0.492","url":null,"abstract":"Introduction: Mucormycosis, the third most prevalent invasive fungal disease ranked, has a very high mortality rate. The timely diagnosis, coupled with the prompt administration of drug and surgical interventions, yields a substantial reduction in mortality rates. To accomplish these objectives, the acquisition of accurate data and information assumes paramount importance. A minimum data set (MDS) serves as a crucial tool for data collection, offering healthcare managers a standardized information resource. Consequently, the aim of this study was to develop a MDS to mucormycosis in Iran.Material and Methods: This research was conducted using a practical approach, employing a two-step Delphi method. An extensive literature review was conducted aimed at extracting relevant information specific to mucormycosis. two individual checklists were developed. Following these checklists underwent rigorous evaluation through the Delphi, involving the 20 experts, consisting of five specialists each in the fields of infectious diseases, dermatology, otolaryngology, and health information management.Results: Experts thoroughly examined a total of 72 out of 86 items on the demographic information checklist throughout both the initial and second phases of the Delphi process. Furthermore, within the clinical information checklist, experts meticulously evaluated 303 out of 323 data elements during the first and second phases of the Delphi process. The demographic checklist was structured into four categories basic information, demographic details, insurance particulars, and referral information. The clinical checklist consisted of seven categories, encompassing risk factors, types of mucormycosis disease, clinical signs and symptoms, diagnosis, species, treatment, and outcomes.Conclusion: In recent years, the prevalence of underlying diseases has witnessed an upward trend, resulting in a subsequent escalation in the number of mucormycosis patients. In light of the burgeoning incidence of mucormycosis cases in Iran, it becomes imperative to establish a standardized MDS for this disease.","PeriodicalId":477354,"journal":{"name":"Frontiers in health informatics","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136360510","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Using Convolutional Neural Network to Recognize Emotions from Scalp Electroencephalography Plot Images","authors":"Tabarek Alwan Tuib, Reza Sheibani, Seyyed Abed Hosseini","doi":"10.30699/fhi.v12i0.472","DOIUrl":"https://doi.org/10.30699/fhi.v12i0.472","url":null,"abstract":"Introduction: Real-time variations in brain activity are determined by electroencephalogram (EEG) data. EEG signals are commonly used in studies to analyze human emotional states. Emotions EEG signals vary from person to person because they each have different emotional responses to the same stimuli. The objective of this study was using EEG signals in emotion recognition.Material and Methods: We specifically focused on employing convolutional neural network (CNN) for detecting image-based emotions in long-term EEG data. After filtering, the EEG data is divided into short sections based on a certain time window and they are converted into EEG plot images. Each of these is classified by convolutional neural networks.Results: In comparison with the existing methods, the error rate has been reduced and the accuracy rate is better than the existing methods. The mean accuracy of the compared articles is 62.87, 70.50, 74.88, 82.88 and 68.11, but the average accuracy of the proposed method is 85.13.Conclusion: This research demonstrates the potential and accuracy of CNN in recognizing emotions from scalp EEG plot images. The study contributes to the growing field of emotion recognition and paves the way for future advancements in utilizing CNN for analyzing EEG signals, ultimately aiming to use as an effective method for computer-aided recognition.","PeriodicalId":477354,"journal":{"name":"Frontiers in health informatics","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135788462","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Sources and Information Needs of Patients with Colorectal Cancer and Physician's Viewpoints in the Northeast of Iran: A Cross‐sectional Study","authors":"Khalil Kimiafar, Mojtaba Esmaeili, Soudabeh Shahid Sales, Seyyedeh Fatemeh Mousavi Baigi, Fereshte Manouchehri Monazah, Masoumeh Sarbaz","doi":"10.30699/fhi.v12i0.450","DOIUrl":"https://doi.org/10.30699/fhi.v12i0.450","url":null,"abstract":"Introduction: Colorectal cancer is one of the most common gastrointestinal cancers, and it is the third and fourth most common cancer among Iranian men and women, respectively. Patients suffering from cancer have different information needs, and one of the most important and reliable sources of information for them is their physicians. Providing adequate information will reduce patients' anxiety and empower them, and proper planning in this field requires awareness of patients' needs. Therefore, this study aimed to assess the sources and information needs of patients suffering from colorectal cancer and physicians' viewpoints regarding this issue.Material and Methods: This cross-sectional questionnaire survey-based study was conducted from May to December 2017. All patients diagnosed with colorectal cancer and physicians in oncology outpatient clinics at a specialized cancer hospital and a radiotherapy oncology center in Mashhad, Iran (the only specialized cancer centers in the northeastern part of Iran) were invited to participate in the study using the census technique. The patient questionnaire was about patients' attitudes toward the consultant's information and disease, information leaflets, the treatments and complications of the disease, and information sources for the disease. And the physician questionnaire was about the information the physician would give to the patients regarding their disease, treatment options, side effects, who is considered to inform the patients of their diagnosis, the patient's use of the Internet as a source of information, and training to provide the patient with information.Results: The mean ages of the patients and physicians participating in this study were 50.72 ± 16.15 and 40.03 ± 11.08 years, respectively. Most of the cases (44.8%) wanted to know everything about their illness as much as possible, while 45.5% of the patients needed the information. The majority (85.9%) of the participants were willing to know about all possible therapies regarding their illness, while 63.3% of the physicians provided treatment options that were suitable for the patient in their view, and only 33.3% of the physicians told the patients all possible treatment options. The patients received the most useful information from medical staff, family and friends, the Internet, brochures, magazines, and newspapers. Among all, 37% of the cases said that information on the Internet was highly reliable, while 60% of the physicians believed that if the content of the information on the Internet was carefully selected, it could be useful.Conclusion: Information regarding the illness, diagnosis, and treatment is one of the essential needs for patients suffering from colorectal cancer. It seems that it is necessary to have a good and organized plan to provide the patients suffering from colorectal cancer with the required information and increase their health information literacy as one of their undeniable rights.","PeriodicalId":477354,"journal":{"name":"Frontiers in health informatics","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135814812","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Geriatric Medical Informatics (GMI) as a New Field of Health Informatics","authors":"Khadijeh Moulaei, Kambiz Bahaadinbeigy","doi":"10.30699/fhi.v12i0.485","DOIUrl":"https://doi.org/10.30699/fhi.v12i0.485","url":null,"abstract":"I am writing to express my opinion for the establishment of a new field of health informatics called Geriatric Medical Informatics (GMI). As our population ages, the need for specialized medical care for older adults is becoming increasingly important. At the same time, advances in information technology are revolutionizing the way we approach healthcare, providing opportunities for improved diagnosis, treatment, and patient outcomes.GMI would focus on the application of information technology to the unique healthcare needs of older adults. On the other hand, Geriatric medical informatics is a field that uses technology and data analytics to improve the care of older adults. By collecting and analyzing data about an individual's health history, medications, and other relevant information, healthcare providers can develop personalized treatment plans that address their unique needs.","PeriodicalId":477354,"journal":{"name":"Frontiers in health informatics","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135966242","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Substance Abuse Poisoning Registry development Based on Lessons Learned from a Pilot Implementation","authors":"Borhan Badali, Mohamad Jebraeily, Mohammad Delirrad, Behzad Boushehri, Shahrbanoo Pahlevanynejad","doi":"10.30699/fhi.v12i0.443","DOIUrl":"https://doi.org/10.30699/fhi.v12i0.443","url":null,"abstract":"Introduction: Substance abuse has been recognized as a national problem in which poisoning with pharmaceutical drugs, opioids and alcohols is a common problem in Iran. Due to the lack of a comprehensive information system related to Substance abuse, despite the systematic information in health services, and to achieve this goal, the purpose of this research was to develop a registry system for substance abuse poisoning in - Urmia University of Medical Sciences.Material and Methods: This research is a practical development study that was done in 4 phases. In the first phase, minimum data set (MDS) of the system were determined. In the second phase, the registration system was designed. The third phase includes the implementation of the system, and finally, the system was evaluated by QUIS questionnaire.Results: A total of 58 data elements in 6 classes were recognized as essential for this system from the point of view of experts. The system was implemented on the ASP.NET platform using C# language and SQL Server database in the poisoning department of Taleghani Hospital in Urmia. The evaluation of usability of the system showed score obtained in the 6 main categories were in set of terms of the system 8.52, screen 8.36, ability to learn 8.8, overall functionality 8.04, user interface 7.98, and the overall interaction is 7.73 respectively.Conclusion: Considering the capabilities of the system for registering poisonings caused by drug abuse, it seems necessary to implement this system in the form of a national network, in order to make the necessary interventions to control drug abuse while using resources efficiently.","PeriodicalId":477354,"journal":{"name":"Frontiers in health informatics","volume":"196 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135259797","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}