Technology and Health Care最新文献

Nomogram for major adverse cardiovascular events risk during hospitalization after percutaneous coronary intervention in patients with NSTEMI: Training and validation. NSTEMI患者经皮冠状动脉介入治疗后住院期间主要不良心血管事件风险的Nomogram: Training and validation

IF 1.4 4区医学

Technology and Health Care Pub Date : 2025-06-18 DOI: 10.1177/09287329251349019

Xiang-Yu Dong, Ting Wang, Yu-Juan Yuan, Yong Liu, Zhong-Xing Xu, Zi-Long Zhang, Yan Feng, Feng-Xia Wang

{"title":"Nomogram for major adverse cardiovascular events risk during hospitalization after percutaneous coronary intervention in patients with NSTEMI: Training and validation.","authors":"Xiang-Yu Dong, Ting Wang, Yu-Juan Yuan, Yong Liu, Zhong-Xing Xu, Zi-Long Zhang, Yan Feng, Feng-Xia Wang","doi":"10.1177/09287329251349019","DOIUrl":"https://doi.org/10.1177/09287329251349019","url":null,"abstract":"ObjectiveThis study aimed to develop a nomogram model to predict the risk of in-hospital major adverse cardiovascular events (MACE) following percutaneous coronary intervention (PCI) in Non-ST-segment elevation myocardial infarction (NSTEMI) patients and assess its performance.MethodsPatient data was collected and individuals were randomly assigned to a training cohort (n = 527) or a validation cohort (n = 227). In the training cohort, LASSO-logistic regression analyses were conducted to identify risk factors associated with MACE in NSTEMI patients. The model's predictive performance, discrimination, and consistency were evaluated using metrics such as the receiver operating characteristic curve, calibration curve, and Decision Curve Analysis. The LASSO-logistic analysis for the training cohort identified BMI (OR:1.49, 95% confidence interval (CI): 1.25-1.78, P = 0.000), adjusted GRACE score (per 10 units GRACE score, adjusted OR [aOR]: 1.20, 95% CI: 1.04-1.37, P = 0.010), and adjusted Gensini score (per 10 units Gensini score, aOR: 1.15, 95% CI: 1.03-1.28, P = 0.013) as predictors of in-hospital MACE for patients with NSTEMI who underwent PCI.ResultsIn the development cohort, AUC in the prediction model was 0.871 (95% CI: 0.762-0.980), while in the validation cohort, it was 0.961 (95% CI: 0.927-0.995). The calibration curve and Hosmer-Lemeshow test results indicate that the nomogram was well-calibrated. The DCA curve demonstrates that the DCA map of the nomogram has good clinical application ability. Patients with NSTEMI undergoing PCI are known to have an increased risk of MACE.ConclusionThe developed nomogram model we established reliably predicts the occurrence of in-hospital MACE in NSTEMI patients undergoing PCI, improving healthcare decision-making accuracy.","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":" ","pages":"9287329251349019"},"PeriodicalIF":1.4,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144318456","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Development of a multiparametric nomogram model for coronary lesion-specific ischemia prediction based on coronary CTA technology. 基于冠状动脉CTA技术的冠状动脉病变特异性缺血预测多参数nomogram模型的建立。

IF 1.4 4区医学

Technology and Health Care Pub Date : 2025-06-18 DOI: 10.1177/09287329251351267

Tianyang Gao, Libo Zhang, Wei Zhou, Hongyan Song, Benqiang Yang

{"title":"Development of a multiparametric nomogram model for coronary lesion-specific ischemia prediction based on coronary CTA technology.","authors":"Tianyang Gao, Libo Zhang, Wei Zhou, Hongyan Song, Benqiang Yang","doi":"10.1177/09287329251351267","DOIUrl":"https://doi.org/10.1177/09287329251351267","url":null,"abstract":"BackgroundCoronary artery disease (CAD) is a leading cause of ischemic heart disease, and accurate identification of coronary lesion-specific ischemia (CLSI) is crucial for treatment. Coronary computed tomography angiography (CCTA) provides detailed visualization of coronary lesions, but its multiparameter analysis for predicting ischemia remains underexplored.ObjectiveTo develop a nomogram prediction model for CLSI based on multiparameters derived from CCTA.MethodsA total of 160 patients with CAD were divided into non-ischemic and ischemic groups according to the target-vessel CT-fractional flow reserve (CT-FFR). The baseline data of the two groups were collected, and the quantitative parameters of CCTA were compared. The predictive value of these parameters for CLSI was analyzed by the receiver operator characteristic (ROC) curve, and independent risk factors were analyzed by logistic regression.ResultsThe ischemic group showed significant differences in maximum diameter stenosis (MDS), maximum area stenosis (MAS), minimum lumen area (MLA), plaque burden (PB), pericoronary fat attenuation index (FAI), and low-attenuation plaque compared to the non-ischemic group (P < 0.05). Logistic regression revealed that MAS, MLA, FAI, and PB were independent risk factors for CLSI. The area under the curve (AUC) for MAS, MLA, FAI, and PB were 0.783, 0.947, 0.804, and 0.935, respectively. The calibration curve of the nomogram showed a good fit to the actual values [0.995 (95%CI: 0.988-1.000)].ConclusionsThis study constructed a nomogram risk prediction model for CLSI based on MAS, MLA, FAI, and PB, which holds significant clinical value.","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":" ","pages":"9287329251351267"},"PeriodicalIF":1.4,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144318428","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Evaluation of a newly developed hybrid brace for scoliosis: Usability tests and subject-specific finite element analysis. 评估一种新开发的用于脊柱侧凸的混合支架：可用性测试和特定主题的有限元分析。

IF 1.4 4区医学

Technology and Health Care Pub Date : 2025-06-12 DOI: 10.1177/09287329251346655

Hae Won Choi, In Seok Han, Sanghoon Shin, Chan Woong Jang, Jung Hyun Park, Sang Kuy Han

{"title":"Evaluation of a newly developed hybrid brace for scoliosis: Usability tests and subject-specific finite element analysis.","authors":"Hae Won Choi, In Seok Han, Sanghoon Shin, Chan Woong Jang, Jung Hyun Park, Sang Kuy Han","doi":"10.1177/09287329251346655","DOIUrl":"https://doi.org/10.1177/09287329251346655","url":null,"abstract":"BackgroundA scoliosis is a three-dimensional deformity of the spine and the rib cage. Mild to moderate scoliosis generally is treated with an orthosis to prevent curve progression and to reduce deformity. It is necessary to develop a scoliosis brace which is more comfortable to wear for maximizing its treatment effect and usability.ObjectiveThe aim of this study was to evaluate the newly developed hybrid brace for the treatment of scoliosis by usability tests and a subject-specific finite element analysis.MethodsUsability tests were completed with 10 moderate scoliosis patients and a subject-specific finite element analysis was conducted for one patient subject to evaluate the new hybrid brace.ResultsWith wearing a new hybrid brace, average cobb angles were corrected from 36.9 ± 4.3° to 28.3 ± 3.1° (22.0%) in usability tests. Compressive forces obtained from the attached pressure sensors in a new hybrid brace was applied to a subject-specific finite element model for the one of scoliosis patients. The Cobb angle was corrected 36.7% in the silico model which is similar to the usability test (34.1%).ConclusionsThese results show that the new hybrid brace in this study has an initial corrective performance similar to that of a proven brace. This study presented an evaluation method for predicting corrective effect of a newly developed hybrid brace for patients with scoliosis through initial performance analysis and constructing a subject-specific finite element model of the patient.","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":" ","pages":"9287329251346655"},"PeriodicalIF":1.4,"publicationDate":"2025-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144276345","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Cytotoxic effect of bladder cancer oncolytic virus on bladder cancer stem-like cells via pyroptosis pathway. 膀胱癌溶瘤病毒通过焦亡途径对膀胱癌干细胞的细胞毒作用。

IF 1.4 4区医学

Technology and Health Care Pub Date : 2025-06-11 DOI: 10.1177/09287329251349081

Xin Cao, Dongyang Gao, Su Zhang, Xiaoquan Yu, Xin Su, Jianzhong Lu, Zhiping Wang

{"title":"Cytotoxic effect of bladder cancer oncolytic virus on bladder cancer stem-like cells via pyroptosis pathway.","authors":"Xin Cao, Dongyang Gao, Su Zhang, Xiaoquan Yu, Xin Su, Jianzhong Lu, Zhiping Wang","doi":"10.1177/09287329251349081","DOIUrl":"https://doi.org/10.1177/09287329251349081","url":null,"abstract":"Background: The main treatment plan for bladder cancer is surgery combined with postoperative chemotherapy. Patients often suffer from various adverse reactions after chemotherapy, which reduces the quality of life. Moreover, after chemotherapy, the resistance to chemotherapy drugs of tumor is often increased, and the tumor resistance to chemotherapy drugs is often accompanied by the deterioration of pathological classification, distant metastasis, and the decline of patients' survival period. Recent studies have found that cancer stem cells play a crucial role in tumor proliferation, invasion, metastasis and drug resistance.Objective: This study would prove oncolytic adenovirus Ad5-E1A-UPII-PSCAE emerges as a potent agent against bladder cancer stem-like cells (CSCs), and triggers reactive oxygen species (ROS) accumulation, culminating in pyroptosis.Methods: This study is based on transcriptome and proteomic analysis, supplemented by in vivo and in vitro experiments for validation.Result: In vitro studies confirmed dose-dependent CSC killing (IC50: 3.6 × 109 PFU), while transcriptomic and proteomic analyses highlighted mitochondrial dysfunction and ROS-driven pathways as central mechanisms. In vivo, OV-treated xenografts exhibited significant tumor regression and histopathological necrosis. By exploiting the NO/ROS-pyroptosis axis, Ad5-E1A-UPII-PSCAE overcomes CSC-mediated chemoresistance, offering a dual strategy to eradicate aggressive tumor subpopulations and suppress recurrence.Conclusion: This study results demonstrated that OVs could kill cancer stem-like cells by promoting ROS levels, which induce cell pyroptosis.","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":" ","pages":"9287329251349081"},"PeriodicalIF":1.4,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144267706","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Predicting survival rates of critically ill septic patients with heart failure using interpretable machine learning models. 使用可解释的机器学习模型预测危重感染性心力衰竭患者的生存率。

IF 1.4 4区医学

Technology and Health Care Pub Date : 2025-06-11 DOI: 10.1177/09287329251346284

Hai-Ying Yang, Meng-Han Jiang, Fang Yu, Li-Juan Yang, Xin Zhang, De-Min Li, Yu Guo, Jia-De Zhu, Sun-Jun Yin, Gong-Hao He

{"title":"Predicting survival rates of critically ill septic patients with heart failure using interpretable machine learning models.","authors":"Hai-Ying Yang, Meng-Han Jiang, Fang Yu, Li-Juan Yang, Xin Zhang, De-Min Li, Yu Guo, Jia-De Zhu, Sun-Jun Yin, Gong-Hao He","doi":"10.1177/09287329251346284","DOIUrl":"https://doi.org/10.1177/09287329251346284","url":null,"abstract":"Background: Septic patients with heart failure (HF) have higher mortality and poorer prognosis than patients with either disease alone. Currently, no tool exists for predicting survival rate in such patients.Objective: This study aimed to develop an interpretable prediction model to predict survival rate for septic patients with HF.Methods: Severe septic patients with HF were recruited from the MIMIC-IV database (as training and internal validation cohorts) as well as from the MIMIC-III database (as external validation cohorts). Four models including Deep Learning Survival (DeepSurv) were constructed and evaluated. Furthermore, Shapley Additive Explanations (SHAP) method was employed to explain the DeepSurv model.Results: A total of 11,778 patients were included and 22 features were identified to construct the models. Among the 4 models, the DeepSurv model had the highest area under the curve (AUC) values with an AUC of 0.851 (internal) and 0.801 (external) and C-index of 0.8329 (internal) and 0.7816 (external). The mean cumulative/dynamic AUC values exceeded 0.85 in both internal and external validations. The Integrated Brier Score values were well below 0.25, at 0.068 and 0.093, respectively. Furthermore, the Decision Curve Analysis showed that the DeepSurv model achieved favorable net benefit. The SHAP method further confirmed the reliability of the DeepSurv model.Conclusion: Our DeepSurv model was the most comprehensive interpretable prediction model specifically developed and validated for septic critically ill patients with HF. It demonstrated good model performance in predicting the 28-day survival rate of such patients and will provide valuable decision support for clinicians.","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":" ","pages":"9287329251346284"},"PeriodicalIF":1.4,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144267707","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Application of magnetic navigation for pediatric PICC placement: A retrospective study. 磁导航在儿童PICC放置中的应用：一项回顾性研究。

IF 1.4 4区医学

Technology and Health Care Pub Date : 2025-06-04 DOI: 10.1177/09287329251347875

Qiong Chen, Yanchao Li, Huihuan Zhu, Qiaoru Li

{"title":"Application of magnetic navigation for pediatric PICC placement: A retrospective study.","authors":"Qiong Chen, Yanchao Li, Huihuan Zhu, Qiaoru Li","doi":"10.1177/09287329251347875","DOIUrl":"https://doi.org/10.1177/09287329251347875","url":null,"abstract":"Background: Peripherally Inserted Central Catheters (PICC) are widely used for long-term intravenous therapy in pediatric patients and are effective in preventing catheter displacement.Objective: This study aimed to investigate the effect of magnetic navigation technology compared with ultrasound imaging and manual control of the catheter path.Methods: The control group underwent PICC placement using the Seldinger technique under ultrasound guidance (n = 86), while the magnetic navigation group received magnet-assisted PICC placement (n = 80). Both groups used chest X-ray (CXR) after catheter placement to confirm the tip position. Insertion time, first-attempt success rate, complication rate, post-procedural pain, post-procedural anxiety, and family satisfaction were compared.Results: Compared to the control group, magnetic navigation significantly reduced catheter insertion time (28.2 ± 3.67 min vs. 34.85 ± 2.94 min, P < 0.001), improved first-attempt success rate (91.25% vs. 41.86%, P < 0.001), and lowered the complication rate (21.25% vs. 66.28%, P < 0.001). In addition, magnetic navigation alleviated post-procedural pain and anxiety (P < 0.01), and improved family satisfaction (P < 0.01).Conclusion: Compared to traditional ultrasound-guided methods, magnetic navigation offers superior efficiency in pediatric PICC placement, highlighting its promising potential for clinical application and broader implementation.","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":" ","pages":"9287329251347875"},"PeriodicalIF":1.4,"publicationDate":"2025-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144217351","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Innovative gastrojejunostomy reconstruction using the pants-shaped anastomosis technique following laparoscopy-assisted distal gastrectomy for gastric cancer. 腹腔镜辅助胃癌远端胃切除术后采用裤型吻合技术的创新胃空肠吻合术重建。

IF 1.4 4区医学

Technology and Health Care Pub Date : 2025-06-04 DOI: 10.1177/09287329251347876

Bing Wang, Zehui Wu, Gang Liu, Ben Liu, Wanchao Yang, Chao Yang, Lianghui Shi

{"title":"Innovative gastrojejunostomy reconstruction using the pants-shaped anastomosis technique following laparoscopy-assisted distal gastrectomy for gastric cancer.","authors":"Bing Wang, Zehui Wu, Gang Liu, Ben Liu, Wanchao Yang, Chao Yang, Lianghui Shi","doi":"10.1177/09287329251347876","DOIUrl":"https://doi.org/10.1177/09287329251347876","url":null,"abstract":"BackgroundThere are many types of gastrojejunostomy reconstruction after laparoscopy-assisted distal gastrectomy (LADG) for gastric cancer, each of which has merit and demerit.ObjectiveIn order to reduce the incidence of postoperative complications after LADG, we designed a novel method-the \"Pants-shaped\" anastomosis that involves the gastrojejunostomy anastomosis and evaluated its clinical application effect.MethodsIn this retrospective study, data of 630 cases of laparoscopy-assisted distal gastrectomy performed in the First Affiliated Hospital of Wannan Medical College from January 2018 to December 2022 were analyzed. The cases were divided into three groups: \"Pants-shaped\" anastomosis group (n = 127), Billroth II anastomosis group (n = 242), and Billroth II + Braun anastomosis group (n = 261) according to the different types of gastrojejunostomy reconstruction.ResultsThe laparoscopic operations of all 630 patients were successfully performed. There were no significant differences in intraoperative blood loss, the number of lymph nodes, and complications among the three groups (P > 0.05). The \"Pants-shaped\" group resulted in shorter time to first flatus (P = 0.004), shorter postoperative time (P = 0.008), longer anastomosis time (P < 0.05), and lower hospitalization costs (P < 0.05) than the Billroth II group; and shorter operation time and shorter postoperative time (P = 0.008), and lower hospitalization costs (P < 0.05) than the Braun group. There were significant statistical differences in the early postoperative complications among the three groups (P > 0.05). The \"Pants-shaped\" group showed less reflux gastritis (P = 0.022) in the postoperative 5 years follow-up compared to the Billroth II group.ConclusionThe procedure of \"Pants-shaped\" anastomosis is safe and feasible, which can be easily performed. It can be a good option with shorter postoperative time and less reflux gastritis.","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":" ","pages":"9287329251347876"},"PeriodicalIF":1.4,"publicationDate":"2025-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144217352","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Machine learning driven early prediction of cardiac arrest. 机器学习驱动心脏骤停的早期预测。

IF 1.4 4区医学

Technology and Health Care Pub Date : 2025-06-03 DOI: 10.1177/09287329251345567

Parameswari S, Jeevitha S, Sree Rathna Lakshmi Nvs, Swetha Bv

{"title":"Machine learning driven early prediction of cardiac arrest.","authors":"Parameswari S, Jeevitha S, Sree Rathna Lakshmi Nvs, Swetha Bv","doi":"10.1177/09287329251345567","DOIUrl":"https://doi.org/10.1177/09287329251345567","url":null,"abstract":"BackgroundCardiac Arrest (CA) is a major cause of mortality globally, often occurring suddenly without prior warning, making early detection and timely intervention crucial to saving lives. Traditional methods of predicting CA have proven inadequate due to the lack of clear warning signs. With the integration of Machine Learning (ML) techniques, the potential for more accurate early detection and intervention can improve survival rates.ObjectiveThis study proposes a machine learning-based approach for the early prediction of Cardiac Vascular Disease (CVD), which is a primary contributor to CA. The model incorporates various patient data, including lab results, vital signs, and Electrocardiogram (ECG) signal readings, to enhance prediction accuracy.MethodsThe study employs a range of advanced machine learning techniques, including Gradient-Boosting Algorithm (GBA), Support Vector Machine (SVM), Random Forest (RF), and Artificial Neural Networks (ANN). To process the data, Wavelet Transform (WT) is used to decompose the ECG signals, isolating important features while minimizing noise. Feature selection is performed through an innovative Modified Recursive Feature Elimination (MRFE) technique.ResultsThe machine learning models were validated using the MATLAB simulator, with evaluation metrics including accuracy, precision, recall, and F-score. Among the models, ANN demonstrated the highest performance, achieving 96.3% accuracy, 96.1% precision, 95% recall, and 94.65% F-score.ConclusionThis work demonstrates the effectiveness of machine learning in the early prediction of CA, enabling timely medical intervention and potentially saving lives. The results suggest that the proposed model could become a valuable tool for healthcare professionals in managing and preventing cardiac arrest.","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":" ","pages":"9287329251345567"},"PeriodicalIF":1.4,"publicationDate":"2025-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144210014","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Bayesian sequential decision-making for rare disease clinical trials. 罕见病临床试验的贝叶斯顺序决策。

IF 1.4 4区医学

Technology and Health Care Pub Date : 2025-05-29 DOI: 10.1177/09287329251344056

Yuan Gao, Jianling Bai, Feng Chen

{"title":"Bayesian sequential decision-making for rare disease clinical trials.","authors":"Yuan Gao, Jianling Bai, Feng Chen","doi":"10.1177/09287329251344056","DOIUrl":"https://doi.org/10.1177/09287329251344056","url":null,"abstract":"BackgroundRare disease clinical trials face challenges due to limited sample sizes and ethical imperatives to minimize futile treatments. Bayesian sequential design dynamically optimizes decisions under uncertainty, offering efficiency gains over traditional fixed-sample approaches.MethodsPropose a framework integrating sequential Bayes factor and adaptive stopping rules for trials with binary endpoint. Bayesian posterior probabilities define early termination thresholds (superiority/futility), while Bayes Factor Design Analysis validates trial feasibility. Sequential Bayes factor updates iteratively guide interim decisions based on evidence strength.ResultsThe approach enables earlier trial termination (for superiority or futility), reducing sample size, time, and costs. Patients avoid unnecessary exposure to futility treatments, while results remain interpretable even if thresholds are unmet.ConclusionThe primary goal is to confirm treatment efficacy earlier, enabling trials to be stopped promptly for either superiority or futility treatments. This strategy reduces sample size, time, and financial costs, and prevents patient exposure to futile treatments. Moreover, the study aims to promote the adoption of Bayesian sequential decision-making, thereby accelerating rare disease clinical trial approvals and drug marketing.","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":" ","pages":"9287329251344056"},"PeriodicalIF":1.4,"publicationDate":"2025-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144175451","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Telehealth in oral medicine: Evaluation of app usability and satisfaction among public health system professionals. 口腔医学中的远程医疗：公共卫生系统专业人员对应用程序可用性和满意度的评估。

IF 1.4 4区医学

Technology and Health Care Pub Date : 2025-05-28 DOI: 10.1177/09287329251341085

Maria do Desterro Andrêzza Souza Costa, Quemuel Pereira da Silva, Hélder Domiciano Dantas Martins, Paulo Rogério Ferreti Bonan, Edson Hilan Gomes de Lucena

{"title":"Telehealth in oral medicine: Evaluation of app usability and satisfaction among public health system professionals.","authors":"Maria do Desterro Andrêzza Souza Costa, Quemuel Pereira da Silva, Hélder Domiciano Dantas Martins, Paulo Rogério Ferreti Bonan, Edson Hilan Gomes de Lucena","doi":"10.1177/09287329251341085","DOIUrl":"https://doi.org/10.1177/09287329251341085","url":null,"abstract":"ObjectiveEvaluate the usability and user satisfaction of an oral medicine application among public health professionals.MethodsA cross-sectional observational study was conducted with 101 dentists registered in the application, determined through sample size calculation. Data were collected using an online questionnaire. The System Usability Scale (SyUS) was used to assess usability, and an adapted questionnaire evaluated user satisfaction. Variables influencing satisfaction and usability were also analyzed.ResultsMost participants were female (73.3%), aged between 20 and 59 years (98%), with up to 10 years of professional experience (73%). The majority had a specialization (81%), including 24.8% in Collective and Family Health, and 80.2% worked in Primary Health Care. The mean SyUS usability score was 91.25 (scale: 0-100), exceeding the threshold of 70 for a viable product. Participants expressed high satisfaction with the app's theoretical and clinical support. Suggested improvements included a lesion database, chat functionality, interactive notifications, expanded attachment capacity, training initiatives, and broader specialty coverage.ConclusionThe application achieved high usability and satisfaction scores, proving essential, intuitive, and effective. It complements public health systems by supporting diagnosis and treatment, enhancing professional collaboration, and improving care quality while addressing continuity and problem-solving needs.","PeriodicalId":48978,"journal":{"name":"Technology and Health Care","volume":" ","pages":"9287329251341085"},"PeriodicalIF":1.4,"publicationDate":"2025-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144162500","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0