Health Technology Assessment in Action最新文献

{"title":"Investigation of Artificial Intelligence in Alzheimer’s Disease","authors":"Rashin Iman, Mohammadreza Mobinizadeh","doi":"10.18502/htaa.v7i4.14655","DOIUrl":"https://doi.org/10.18502/htaa.v7i4.14655","url":null,"abstract":"\u0000 \u0000 \u0000 \u0000 \u0000 \u0000 \u0000 \u0000 \u0000 \u0000 \u0000The Article Abstract is not available. \u0000 \u0000 \u0000 \u0000 \u0000 \u0000 \u0000 \u0000 \u0000 \u0000 \u0000 \u0000 \u0000  \u0000","PeriodicalId":373466,"journal":{"name":"Health Technology Assessment in Action","volume":"30 17","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139448635","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":"Bibliometric Analysis of Artificial Intelligence Revolutions in Healthrelated Sustainable Development Goals","authors":"Maryam Ramezani, Amirhossein Takian, A. Bakhtiari, Hamid R. Rabiee, S. Sazgarnejad","doi":"10.18502/htaa.v7i4.14654","DOIUrl":"https://doi.org/10.18502/htaa.v7i4.14654","url":null,"abstract":"Background: In line with the advancement of Artificial Intelligence (AI), innovative solutions have been designed to improve healthrelated Sustainable Development Goals (SDGs). Accordingly, there is an increasing trend in the realm of AI and SDG research areas. \u0000Objectives: This study aimed to analyze the trends and patterns of AI research in health-related SDGs using bibliometric analysis. \u0000Methods: The bibliometric approach facilitated the identification of key terms and countries from previous research. We used VOSviewer to map and analyze data obtained from three databases: Scopus, Web of Science, and PubMed. \u0000Results: Our findings illustrated that research on health has been a popular area of study in recent years. In particular, we observed a significant increase in research on AI in health-related SDGs during 2015 - 2022. \u0000Conclusions: This study provides insights into the trends and patterns of AI research in health-related SDGs using bibliometric analysis. The findings can guide future research by identifying key terms that require further investigation.","PeriodicalId":373466,"journal":{"name":"Health Technology Assessment in Action","volume":"35 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139448105","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":"Legal and Ethical Challenges of Artificial Intelligence Applications in Healthcare","authors":"Shahriar Eslamitabar, Ehsan Lame, Ahmad Rouzbahani, Zohre Roozbahani","doi":"10.18502/htaa.v7i4.14653","DOIUrl":"https://doi.org/10.18502/htaa.v7i4.14653","url":null,"abstract":"Artificial intelligence (AI) has become an integral part of modern healthcare, with its algorithms and other AI-enabled applications supporting medical professionals in clinical and research settings. The digital revolution is transforming the way we approach medical care. Currently, numerous AI products have been developed to cover various aspects of healthcare, such as predicting the risk of acute and chronic diseases (e.g., cardiovascular risk, gastrointestinal bleeding, and eye conditions) and forecasting cancer risk, among other cases. Artificial intelligence has the capacity to revolutionize the utilization of health information collected in datasets. However, the specific characteristics of AI, including vagueness, complexity, data dependency, and automated behavior, can pose potential risks to users’ fundamental rights and safety. Therefore, it is crucial to recognize and mitigate these risks and provide legal solutions for any harm resulting from these risks. In the realm of healthcare, AI plays a pivotal role in advancing reliable prediction capabilities. Consequently, the storage and processing of data are imperative for emerging diagnostic and decision-making technologies. Nevertheless, these advances also introduce privacy risks, raising significant legal challenges for medical institutions. Understanding the various levels of these risks assists healthcare professionals and institutions in managing these challenges and complying with regulations. This descriptive research article comprehensively examines and implements the regulatory frameworks governing the United States and the European Union. Additionally, it draws upon documented research in this field to discuss the utilization of AI in healthcare, along with the associated legal issues, including informed consent and malpractice.","PeriodicalId":373466,"journal":{"name":"Health Technology Assessment in Action","volume":"18 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139448509","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":"Editorial for the Special Issue on “Artificial Intelligence in Health System Decision Making”","authors":"Mohammadreza Mobinizadeh","doi":"10.18502/htaa.v7i4.14657","DOIUrl":"https://doi.org/10.18502/htaa.v7i4.14657","url":null,"abstract":"\u0000 \u0000 \u0000 \u0000 \u0000 \u0000 \u0000 \u0000 \u0000 \u0000 \u0000The Article Abstract is not available. \u0000 \u0000 \u0000 \u0000 \u0000 \u0000 \u0000 \u0000 \u0000  \u0000 \u0000 \u0000 \u0000 \u0000 \u0000 \u0000  \u0000","PeriodicalId":373466,"journal":{"name":"Health Technology Assessment in Action","volume":"65 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139449149","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":"Simulation of the Impact of Key Variables on Smart Supply Chains Efficiency in Iran’s Healthcare Industry","authors":"Masoud Hosseinkhani, S. A. Heydariyeh, Farshad Faezi Razi, M. H. Tilehnouei","doi":"10.18502/htaa.v7i4.14651","DOIUrl":"https://doi.org/10.18502/htaa.v7i4.14651","url":null,"abstract":"Background: The smartification of supply chains, which enables organizations to stay informed about crises in a timely manner and make appropriate decisions in response to the resulting pressures, has consistently been a crucial factor in the realm of organizational transformation. The healthcare industry in Iran faces more challenges and crises than other industries, especially due to its vital role in public health prevention and care. \u0000Objectives: According to the reasons described, this research aims to simulate and improve the efficiency of the healthcare supply chain when confronted with crises. \u0000Methods: In this study, the efficiency of the healthcare supply chain was simulated using the system dynamics approach and Vensim DSS. \u0000Results: The results indicated that healthcare supply chain efficiency in Iran is unsatisfactory and may confront challenges during crises. Therefore, this study places particular emphasis on examining scenarios for improving the current situation, which stems from the consensus of experts and stakeholders in this field. In the presented scenarios, a 2% improvement in the utilization of advanced intelligent technologies and a 5% improvement in intelligent inventory management were observed. Notably, the combined effect of these two scenarios led to an overall enhancement in the average efficiency of the healthcare smart supply chain. These improvements can increase the average efficiency levels within the pharmaceutical manufacturing segment up to 1.3%, 5.8%, and 7.7% in each of the aforementioned scenarios. \u0000Conclusions: It can be asserted that although the advancement of smart technologies and intelligent inventory management individually contribute to enhancing the efficiency of the healthcare supply chain in Iran, combining these changes can provide the groundwork for further increasing efficiency up to 7.7%.","PeriodicalId":373466,"journal":{"name":"Health Technology Assessment in Action","volume":"51 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139449496","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":"Effectiveness of Motivational Psychotherapy on Depression in Adolescents","authors":"Ali Kazemi, Hosein Sahebdel, Majid Ebrahimpour","doi":"10.18502/htaa.v7i3.14214","DOIUrl":"https://doi.org/10.18502/htaa.v7i3.14214","url":null,"abstract":"Background: The present study investigated the effects of motivational psychotherapy on depression in adolescents. Methods: This quasi-experimental study utilized a pretest-posttest design with a control group. The research population consisted of all female students of the second grade of high schools in Birjand city in the academic year of 2022 - 2023. Thirty participants were randomly selected and allocated to the experimental and control groups. The intervention was performed on the experimental group for 12 weeks, while no intervention was performed on the control group during this period. One week after the sessions, the posttest was performed on both groups. Beck Depression Inventory (1961) was used to collect data and covariance analysis to analyze them. Results: The mean age was 17.23 in the experimental group. The analysis of variance showed that motivational psychotherapy had a significant effect on reducing depression in teenagers. Conclusions: These results emphasize the importance and effectiveness of motivational psychotherapy and can open a new way for psychotherapists to conceptualize and treat psychological disorders.","PeriodicalId":373466,"journal":{"name":"Health Technology Assessment in Action","volume":"120 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139226038","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":"An Observational Study on Evaluation of IOTA Ultrasound Simple Rules to Distinguish Benign and Malignant Ovarian Masses and Histopathological Correlation in a Tertiary Care Hospita","authors":"Amatul Kareem Sumaya, Banavath Swetha, Aithagani Ramachandraiah, Nadeem Ahmed, Sunitha Bajaj","doi":"10.18502/htaa.v7i3.14211","DOIUrl":"https://doi.org/10.18502/htaa.v7i3.14211","url":null,"abstract":"Background: The international ovarian tumor analysis (IOTA) study technique is a specialized method for classifying and identifying adnexal growths. It employs 10 simple ultrasound directions to characterize masses as benign or malignant. Objectives: This study aims to provide pre-operative information to help gynecologists manage ovarian masses, avoiding delays in malignancy treatment and unnecessary surgery for benign lesions. Methods: This was a hospital-based observational study conducted in the radiology department on patients with clinical diagnoses of ovarian masses from August 2020 to March 2022 by prospective randomized sampling method. Patients with suspected ovarian pathology were evaluated using IOTA ultrasound rules and designated benign or malignant. The patients underwent a thorough history and clinical examination. Ultrasound was used to confirm the ovarian origin of the mass and differentiate it as benign or malignant. A transvaginal ultrasound was performed where necessary. Histopathological examination was the gold standard to confirm ultrasound and Doppler findings. Descriptive stats: Frequencies/percentages for categorical data, mean ± SD for normal, median with IQR for non-normal. Uncertainty measured by 95% CI. Results: During the study, 50 women were eligible for the study, and the mean age of the participants was 45.3 years. Of 50 patients who underwent surgery, 38 cases were considered benign based on IOTA USG rules, of which 35 were benign and 3 were malignant histologically. Eight cases were considered malignant based on IOTA USG rules, of which 6 were malignant and 2 were benign. Four cases were considered indeterminate, with two being benign and two being malignant histologically. If inconclusive cases are classified as malignant, the sensitivity and specificity are 75% and 88%, respectively. Conclusions: USG is an easily available imaging tool that can be used as an initial modality in evaluating ovarian masses. IOTA simple ultrasound rules have diagnostic accuracy in distinguishing benign and malignant ovarian masses and help in management.","PeriodicalId":373466,"journal":{"name":"Health Technology Assessment in Action","volume":"8 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139216357","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":"Snake Oil or Super Drug: How Have Regulators and Payers Perceived New Medicines that Target Asymptomatic Conditions?","authors":"Brian Richard Needham","doi":"10.18502/htaa.v7i3.14208","DOIUrl":"https://doi.org/10.18502/htaa.v7i3.14208","url":null,"abstract":"Context: Assess how relevant precedent within the European Medicines Agency (EMA) (a key regulator) and the National Institute for Health and Care Excellence (NICE) (a key health technology assessment (HTA) body) can provide insights into how such novel medicines targeting asymptomatic conditions can be brought to market from both a regulatory and payer perspective. Methods: All phase 2 or phase 3 clinical trials with keywords such as asymptomatic, pre-symptomatic, subclinical, premanifest, or preclinical keywords were downloaded from clinicaltrials.gov. Trials were cleaned to identify those for novel medicines with a primary focus on treating asymptomatic conditions. The EMA and NICE report for such drugs were downloaded online in December 2021 and analyzed to understand how they assessed the evidence. Results: Two hundred seventy-eight clinical trials were identified. Of those, only 8 had relevant matching reports from the EMA or NICE, 7 received a positive review from the EMA, and 4 received a positive recommendation from the NICE. Those who received positive recommendations showed or were assumed to show statistically significant survival benefits given the short life expectancy of untreated patients. Conclusions: There is no precedent within the EMA or NICE for approving or funding new medicines for asymptomatic patients where survival benefits cannot be established. Additional research is warranted to understand how regulatory and payer agencies can prepare for future generations of innovative medicines.","PeriodicalId":373466,"journal":{"name":"Health Technology Assessment in Action","volume":"46 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139222647","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":"The Effect of Corrective Exercise on Pain Referred to The Jaw Joint (TMJ) in Elderly Women With Upper Crossed Syndrome","authors":"Mahan Mansouri, Y. Sokhanguei, Shahram Sohaily","doi":"10.18502/htaa.v7i3.14210","DOIUrl":"https://doi.org/10.18502/htaa.v7i3.14210","url":null,"abstract":"Background: Upper crossed syndrome is a muscular imbalance disorder associated with various referred pains, especially jaw discomfort. Complications like temporomandibular joint (TMJ) osteoarthritis may link to forward head posture and mechanical head pains resulting from this syndrome. Objectives: The objective of this study was to compare the impact of corrective exercise on pain of TMJ in elderly women with upper cross syndrome. Methods: A total of 30 elderly women with upper crossed syndrome were enrolled at the Kahrizak Elderly Care Center and randomly assigned to either a corrective exercise group or a control group. The experiment group underwent an eight-week training program. Pain levels and neck range of motion were assessed using a pain ruler and goniometer, respectively. In order to measure neck extension, the mean difference and effect size were determined using paired t-test and Cohen’s d, respectively. Referred pain ratings were analyzed using Mann-Whitney U and Wilcoxon signed-rank tests, with effect size calculations, to further understand the intervention’s effect on pain perception. Results: Both groups demonstrated significant changes in referred pain perceptions (P = 0.0441) post-intervention. However, regarding neck extension, neither the control nor the experiment group exhibited statistically significant alterations in neck extension (P = 0.4309) Conclusions: These findings indicate that corrective exercises have a positive effect on alleviating referred pain in the jaw joint caused by muscle imbalance. Given the merits of corrective exercises as a non-pharmacological intervention, they are recommended as an effective approach for improving referred pain in the jaw.","PeriodicalId":373466,"journal":{"name":"Health Technology Assessment in Action","volume":"224 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139226530","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":"Effect of Stress Management Training on the Mental Health of Medical Students and Interns Training Centers During the Pandemic: An Intervention Study","authors":"Sobhan Abbasi, Yahya Mohammadi, M. Raeisoon","doi":"10.18502/htaa.v7i3.14212","DOIUrl":"https://doi.org/10.18502/htaa.v7i3.14212","url":null,"abstract":"Background: Medical students, as a part of the first line of combating COVID-19, have been exposed to harm caused by mental disorders. Objectives: This study investigated how stress management training affects the mental health of medical students and interns during the COVID-19 pandemic. Methods: sixteen training and internship students of Birjand University of Medical Sciences from 2020-2021 were included in this intervention study. The intervention group completed the stress management training course in 6 sessions. Mental health dimensions were collected with the SCL90 questionnaire before and after intervention in both groups. SPSS 22 software and Mann-Whitney U-test, Wilcoxon, Chi-square, and Fisher’s exact test were utilized for data analysis. Results: The basic data showed no significant differences between groups (P > 0.05). After the intervention, the mean scores of physical complaint, obsessive-compulsive, interpersonal relations, depression, anxiety, aggression, fear, paranoid and psychotic dimensions in the intervention group significantly decreased (P < 0.05). In controls, the obsessive-compulsive, depression, anxiety, and aggression dimensions significantly decreased (P < 0.05). However, in controls, there was no significant difference in the mean score of other dimensions before and after intervention (P > 0.05). Before the intervention, the frequency distribution of various levels of sensitivity to interpersonal relationships in the two studied groups was the same (P > 0.05); after the intervention, these levels were significantly different between groups (P < 0.05). After intervention, the control group had a higher frequency distribution of individuals with degrees of depression (P < 0.05). Conclusions: The mental health of medical internship students during a crisis can be improved by stress management training, which reduces anxiety and depression. Therefore, stress management courses are recommended in stressful situations.","PeriodicalId":373466,"journal":{"name":"Health Technology Assessment in Action","volume":"60 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139227624","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}