Journal of Multidisciplinary Healthcare最新文献

{"title":"Development and Validation of a Clinical Prediction Model for Growth Hormone Deficiency in Children with Short Stature: A Retrospective Study in China.","authors":"Mali Li, Chao Liu, Yuan Yang, Shuwen Hu, Jia Li, Shichao Qiu, Zhihua Wang","doi":"10.2147/JMDH.S534760","DOIUrl":"10.2147/JMDH.S534760","url":null,"abstract":"<p><strong>Background: </strong>A multitude of congenital and acquired conditions can result in short stature, each with distinctive clinical presentations and treatment options. We aimed to develop and validate a prediction model to identify GHD among children with short stature using clinical and laboratory parameters.</p><p><strong>Methods: </strong>This retrospective observational study included 1120 children with short stature from a hospital in China. The data were randomly split into a derivation set and a validation set. Features were selected based on clinical relevance and statistical significance to construct a multivariate logistic regression model in the derivation set. Discrimination, calibration, and prediction accuracy were evaluated on both sets.</p><p><strong>Results: </strong>Of the 1120 children, 278 (25%) were diagnosed with GHD, 694 (62%) were male, and the mean age was 6.97 ± 2.97 years. The derivation set comprises 785 (70%) children. The model incorporates four predictors: age (OR=0.761; 95% CI 0.660, 0.873), delayed bone age (OR=1.841; 95% CI 1.365, 2.537), IGF-1 SDS (OR=0.148; 95% CI 0.095, 0.220), and IGF-1/IGFBP-3 ratio (OR=0.901; 95% CI 0.870, 0.930). The model exhibits good discriminative ability, with an AUC of 0.952 (0.937, 0.967) in the derivation set and 0.950 (0.927, 0.973) in the validation set. Furthermore, it shows high accuracy with sensitivity and specificity of 0.895 in the derivation set, which was 0.946 and 0.851 in the validation set. The model also demonstrates reliable calibration.</p><p><strong>Conclusion: </strong>We have developed a prediction model for accurate screening of GHD in children with short stature.</p>","PeriodicalId":16357,"journal":{"name":"Journal of Multidisciplinary Healthcare","volume":"18 ","pages":"5551-5561"},"PeriodicalIF":2.4,"publicationDate":"2025-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12420774/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145040358","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Predicting 28-Day Mortality in Critically Ill Patients Receiving Continuous Renal Replacement Therapy: A Novel Interpretable Machine Learning Approach.","authors":"Tao Zhang, Zi-Han Nan, Xiao-Xuan Fan, Jing-Xiao Pang, Cong-Cong Zhao, Yan Xin, Zhen-Jie Hu, Shao-Han Guo","doi":"10.2147/JMDH.S533031","DOIUrl":"10.2147/JMDH.S533031","url":null,"abstract":"<p><strong>Purpose: </strong>This study aimed to develop and validate an interpretable machine learning (ML) model to predict 28-day all-cause mortality in critically ill patients undergoing continuous renal replacement therapy (CRRT), facilitating early risk stratification and clinical decision-making.</p><p><strong>Patients and methods: </strong>Data from 1362 CRRT patients were analyzed, including 1224 from the Medical Information Mart for Intensive Care IV database (training cohort) and 138 from a Chinese hospital (external validation cohort). Feature selection was performed using least absolute shrinkage and selection operator, support vector machine-recursive feature elimination, and Boruta algorithms. Nine machine learning models were constructed and compared, including Gaussian process (GP), ensemble methods (gradient boosting machine and eXtreme gradient boosting), and other classifiers. Model performance was assessed via the area under the receiver operating characteristic curve (AUC), decision curve analysis, and other metrics. The SHapley Additive exPlanation (SHAP) method was used to interpret the ML models.</p><p><strong>Results: </strong>The GP model demonstrated consistent predictive performance across all cohorts, with training (AUC=0.841, accuracy=76.8%, sensitivity=65.5%), internal validation (AUC=0.794, accuracy=73.4%, sensitivity=60.0%), and external validation (AUC=0.780, accuracy=63.8%, sensitivity=39.0%) sets. Key predictors included red cell distribution width, age, lactate, septic shock, and vasoactive drug use. SHAP analysis provided transparent insights into feature contributions.</p><p><strong>Conclusion: </strong>The GP-based model accurately predicts 28-day mortality in CRRT patients and demonstrates strong generalizability. By integrating SHAP explanations, it offers clinicians an interpretable tool to identify high-risk patients early, potentially improving outcomes.</p>","PeriodicalId":16357,"journal":{"name":"Journal of Multidisciplinary Healthcare","volume":"18 ","pages":"5535-5550"},"PeriodicalIF":2.4,"publicationDate":"2025-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12419209/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145040400","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Promoting Speaking Up Through Interprofessional Identity Triggers in a Mixed-Profession Simulation Scenario: Two Group Double-Blinded Pre-Test-Only Design.","authors":"Ruud Kuipers, Laurens Reinke, Jaap Tulleken, Jan-Jaap Reinders","doi":"10.2147/JMDH.S512952","DOIUrl":"10.2147/JMDH.S512952","url":null,"abstract":"<p><strong>Background: </strong>Speaking up can manifest in various forms, such as raising concerns or sharing ideas. While conceptual overlap exists within its behavioural dimensions, distinctions remain, including context-dependent social risks. Regarding the assurance of quality and safety in patient care, speaking up is paramount, particularly in mixed-profession groups. Speaking up requires specific competencies and depends on individuals' motivation to do so. Interprofessional identity (IPI) is a specific source of intrinsic motivation for interprofessional collaboration (IPC). Little is known about its relationship with speaking up. This study aims to investigate whether conversational topics act as triggers of IPI affecting speaking-up behaviour, and whether the strength of their influence varies across different conversational topics.</p><p><strong>Methods: </strong>Participants of this study were 41 dental bachelor and 43 dental hygiene students. IPI was measured using the Extended Professional Identity Scale (EPIS) eight weeks prior to a simulation session (not a training). Students were assigned into weak or strong identity conditions based on EPIS scores. Small mixed-profession groups with four to five members were formed based on their identity condition and in alphabetic order. Every mixed-profession group discussed eight conversational topics. Groups listed up to ten ideas per topic. The number of ideas generated per topic in each group was used to measure speaking up. A higher idea percentage in the strong IPI group indicated activated IPI, reflecting identity-congruent behaviour.</p><p><strong>Results: </strong>Mixed-profession groups with relatively strong IPI showed more speaking up than groups with weak identifiers. Conversational topics can trigger IPI to varying degrees, reflected in differing levels of speaking up.</p><p><strong>Conclusion: </strong>Some topics raise awareness of IPI, boosting speaking up in groups with relatively strong IPI. Using Extended Professional Identity Theory (EPIT) and effective IPI triggers in simulations helps trigger this behaviour. Moreover, reflective debriefing is likely to further support IPI and encourage speaking up.</p>","PeriodicalId":16357,"journal":{"name":"Journal of Multidisciplinary Healthcare","volume":"18 ","pages":"5521-5533"},"PeriodicalIF":2.4,"publicationDate":"2025-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12417682/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145040370","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Global Trends and Collaborative Networks in Crush Syndrome: A Bibliometric Analysis From 2000 to 2025.","authors":"Fan Song, Ding Long, Xiaoling Wu","doi":"10.2147/JMDH.S527923","DOIUrl":"10.2147/JMDH.S527923","url":null,"abstract":"<p><strong>Background: </strong>Crush syndrome (CS) is a severe, potentially fatal condition resulting from prolonged muscle compression, most commonly observed following disasters such as earthquakes and large-scale traumatic events. Despite its clinical significance, there has been a lack of comprehensive bibliometric analysis exploring global research trends, collaboration networks, and emerging topics in CS research.</p><p><strong>Methods: </strong>A comprehensive literature search was conducted in the Web of Science Core Collection to identify publications on CS from 2000 to 2025. Bibliometric analysis was performed using VOSviewer, CiteSpace, and the R package \"Bibliometrix\" to visualize co-authorship networks, institutional collaborations, and keyword co-occurrence patterns. Only English-language articles were included. Data were analyzed for publication trends, country and institutional contributions, leading authors and journals, and evolving research themes.</p><p><strong>Results: </strong>A total of 745 publications were included, demonstrating a consistent annual increase in research output. The United States, China, and Turkey were the most productive countries. Ghent University and Istanbul University were the leading institutions. Sever MS was identified as a major contributor to the field. <i>Injury-International Journal of the Care of the Injured</i> emerged as the most contributed journal. The most frequent research topics were acute kidney injury, disaster-related management, and pediatric aspects. Keyword and citation burst analysis revealed a historical focus on disaster epidemiology, with recent trends shifting toward clinical complications such as acute compartment syndrome and nerve-related conditions, as well as mechanistic studies including ferroptosis.</p><p><strong>Conclusion: </strong>This bibliometric analysis provides a comprehensive overview of global CS research, highlighting evolving hotspots, emerging themes, and key contributors. These findings may inform future research directions and support improved clinical management of CS.</p>","PeriodicalId":16357,"journal":{"name":"Journal of Multidisciplinary Healthcare","volume":"18 ","pages":"5489-5503"},"PeriodicalIF":2.4,"publicationDate":"2025-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12417718/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145040376","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Experiences of Patients with Heart Failure in Transition from Hospital to Home in China: A Qualitative Study.","authors":"Junya Zhou, Junping Zhao, Juhua Xin, Yali Guo, Enshe Jiang, Chaoran Chen","doi":"10.2147/JMDH.S537560","DOIUrl":"10.2147/JMDH.S537560","url":null,"abstract":"<p><strong>Objective: </strong>To explore the transitional care experiences of patients with heart failure (HF) in China, identifying the challenges they face and their needs during the transition from hospital to home.</p><p><strong>Methods: </strong>A qualitative approach was employed, recruiting 18 participants from a tertiary hospital cardiology department between June and October 2023. Data were collected through semi-structured interviews and analysed using thematic analysis.</p><p><strong>Results: </strong>Among the participants, 83% (15/18) reported feeling inadequately prepared for self-monitoring, with rural patients facing additional difficulties; 67% (12/18) relied on unverified online resources for health information, and 78% (14/18) surrendered medication management to family members. Finally, 89% (16/18) expressed a need for extended hospital guidance, with rural participants highlighting financial difficulty as a significant concern.</p><p><strong>Conclusion: </strong>The study concludes that there is an urgent need for transitional care reform in China, including standardised discharge protocols, hospital-led telehealth platforms and government-subsidised rehabilitation programmes. These interventions should address urban-rural disparities and reduce caregiver dependency to improve the quality of life for patients with HF during the transition from hospital to home.</p>","PeriodicalId":16357,"journal":{"name":"Journal of Multidisciplinary Healthcare","volume":"18 ","pages":"5505-5519"},"PeriodicalIF":2.4,"publicationDate":"2025-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12414461/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145023511","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Rate of Post-Stroke Depression and Associated Factors in Saudi Single Tertiary Medical Center.","authors":"Turki Aljuhani, Shahd Alsubaie, Abrar M Al-Mutairi, Abdulmajeed S Altheyab, Abdulrahman M Alsahali, Abdulrahman S Alhamdan, Falah M Alqahtani, Lafi H Olayan, Mohammed Senitan","doi":"10.2147/JMDH.S542551","DOIUrl":"10.2147/JMDH.S542551","url":null,"abstract":"<p><strong>Purpose: </strong>Stroke is a significant global health concern, with post-stroke depression (PSD) affecting approximately 30% of patients and contributing to reduced quality of life and increased mortality. In Saudi Arabia, data on PSD frequency and associated factors remain limited in relation to the rehabilitation of stroke patients, highlighting the need for further investigation. The study's aims to investigate the rate of PSD and the factors that influence PSD.</p><p><strong>Methods: </strong>This feasibility study was conducted at the Neurorehabilitation Unit of King Abdulaziz Medical City in Riyadh, Saudi Arabia (October 2023-October 2024), and included stroke patients aged 18-80 years. Data on stroke severity (NIHSS), functional independence (FIM), Hospital Anxiety and Depression Scale (HADS), and Short-Form Health Survey (SF-36) were collected using validated Arabic tools. All the analyses were performed with the significance level set at p < 0.05.</p><p><strong>Results: </strong>Out of the 37 participants, the frequency of anxiety and depression was 59.5% at admission, and it decreased to 40.5% at discharge from rehabilitation services. Functional independence improved significantly, with a 9.5-point increase in FIM scores. The mean differences (- 1.54 ± 4.3 p=0.03) and categorical differences between the initial and discharge HADS scores were significant (p=0.02).</p><p><strong>Conclusion: </strong>We found a high rate of depression and anxiety among stroke patients at admission. Rehabilitation services can lead to the improvement of depression and anxiety in stroke patients, from initial admission to discharge, with emotional health as a factor for better outcomes.</p>","PeriodicalId":16357,"journal":{"name":"Journal of Multidisciplinary Healthcare","volume":"18 ","pages":"5421-5430"},"PeriodicalIF":2.4,"publicationDate":"2025-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12413837/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145015626","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effectiveness of Active Cycle of Breathing Technique in Improving Physiological and Functional Outcomes Following Coronary Artery Bypass Graft Surgery: A Narrative Review.","authors":"Arnengsih Nazir","doi":"10.2147/JMDH.S546054","DOIUrl":"10.2147/JMDH.S546054","url":null,"abstract":"<p><p>Coronary artery bypass grafting (CABG) is a common surgical approach for advanced coronary artery disease unresponsive to conservative or percutaneous treatments. Despite its benefits in symptom relief and long-term outcomes, CABG is associated with notable postoperative respiratory complications. As such, respiratory physiotherapy plays a crucial role in recovery. The active cycle of breathing technique (ACBT) is a non-invasive, evidence-based method that promotes lung ventilation, secretion clearance, and respiratory function. This review aimed to describe the effectiveness of the ACBT in enhancing physiological and functional outcomes following CABG surgery. A review of PubMed and Google Scholar studies was conducted, with relevant articles analyzed for study design, patient profiles, intervention protocols, and clinical outcomes. Fifteen articles were included, encompassing studies on pulmonary complications following CABG, dosage and application of ACBT, its preventive role in postoperative pulmonary complications (PPCs), and its effects on respiratory and functional outcomes. The results of this review are expected to enhance clinicians' insight into selecting physical therapy to prevent PPCs. Pulmonary complications, including atelectasis and impaired gas exchange, are common after CABG and are primarily associated with anesthesia, surgical trauma, systemic inflammatory response, and impaired airway clearance. ACBT, consisting of breathing control, thoracic expansion, and forced expiration techniques, is a structured, non-invasive intervention designed to mobilize secretions and improve ventilation. It is typically applied 2-3 times per day over 2-5 days and often combined with incentive spirometry and conventional chest physiotherapy. The reviewed studies suggest that ACBT enhances oxygenation, improves lung volumes, and increases functional capacity. Additionally, ACBT helps reduce postoperative pain and dyspnea, contributing to overall recovery without reported adverse events. To conclude, ACBT is a safe, practical, and effective physiotherapeutic approach to support postoperative pulmonary recovery in CABG patients. Further well-designed trials are needed to validate and standardize its clinical use.</p>","PeriodicalId":16357,"journal":{"name":"Journal of Multidisciplinary Healthcare","volume":"18 ","pages":"5431-5439"},"PeriodicalIF":2.4,"publicationDate":"2025-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12413828/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145015705","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"How Media Reports on Medical Violence Erode Clinician Trust in Patients.","authors":"Guochen Chen, Yuhao Huang, Shi Rong","doi":"10.2147/JMDH.S535388","DOIUrl":"10.2147/JMDH.S535388","url":null,"abstract":"<p><strong>Background: </strong>Violence against doctors is a common worldwide problem. Such risk events, due to the further exaggeration by media reports, trigger collective anxiety among medical staff. Using structural equation modeling (SEM), this study reveals how media portrayals erode clinician trust through amplified risk perception.</p><p><strong>Methods: </strong>A questionnaire survey was conducted with 211 healthcare professionals from medical institutions in Beijing using stratified random sampling. Exploratory factor analysis, confirmatory factor analysis, and structural path analysis were performed on the sample data using structural equation modeling.</p><p><strong>Results: </strong>The \"Pseudo-Environment\" (symbolic reality) created by the media can significantly alter medical staff's perceptions of violence risks, such as vulnerability to attack and becoming victims (P<0.05). In this \"Pseudo-Environment\" medical staff may overestimate the probability of violent incidents and the severity of their consequences, thereby significantly undermining doctor-patient trust. However, the perception of vulnerability has a more prominent impact on relational trust, possibly because patients are portrayed as potential threats in the \"Pseudo-Environment\".</p><p><strong>Conclusion: </strong>Media reports can amplify risk perceptions among medical staff and lead to a substantial decline in doctor-patient trust. In order to enhance doctor-patient relationships, we should consider the sociopsychological effects of media reporting and strive to maintain trust when formulating relevant policies.</p>","PeriodicalId":16357,"journal":{"name":"Journal of Multidisciplinary Healthcare","volume":"18 ","pages":"5461-5474"},"PeriodicalIF":2.4,"publicationDate":"2025-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12415110/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145029953","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Systematic Review of Continuity of Care Strategies for Enhancing Diabetes Self-Management in Older Adults in Asian Countries.","authors":"Citra Windani Mambang Sari, Hartiah Haroen, Neti Juniarti, Lisda Amalia, Jerico Franciscus Pardosi","doi":"10.2147/JMDH.S536258","DOIUrl":"10.2147/JMDH.S536258","url":null,"abstract":"<p><strong>Background: </strong>Diabetes mellitus is a major health challenge among older adults in Asia. Challenges include limited healthcare access and poor self-care adherence. Continuity of care has emerged as a key strategy to enhance diabetes self-management in this population.</p><p><strong>Purpose: </strong>This review aimed to identify the continuity of care strategies in improving diabetes self-management among older adults in Asian countries.</p><p><strong>Methods: </strong>This systematic review was conducted following the PRISMA guidelines and registered on PROSPERO (CRD420251017515). A comprehensive search was performed in five major databases, including CINAHL, PubMed, ScienceDirect, Scopus, and Taylor & Francis. Inclusion criteria covered full-text, english-language experimental studies in Asian countries. Studies were excluded due to lack of full-text access, non-English language, and secondary research. Data analysis was carried out using descriptive qualitative and thematic analysis.</p><p><strong>Results: </strong>A total of 12 included studies were analyzed in this review. Three categories of continuity of care strategies were identified such as social support and educational interventions, community-based interventions and integrated health management, and technology-based interventions and health monitoring. Most of the studies analyzed in this review indicate that continuity of care improves medication adherence, self-efficacy, physical activity, glycemic control, patient satisfaction, and quality of life among older adults with diabetes. For instance, several interventions reported reductions in HbA1c ranging from 0.28% to 0.7%, indicating meaningful clinical improvements in glycemic control among older adults.</p><p><strong>Conclusion: </strong>Continuity of care is an effective strategy for enhancing diabetes self-management among older adults, with a combination of educational, technological, and community-based interventions yielding optimal outcomes. Integrating technology into diabetes monitoring can improve medication adherence, while social support programs and community health services play a vital role in enhancing patients' overall well-being. This study highlights the need for tailoring continuity of care strategies to the social and cultural contexts of Asian countries to maximize long-term effectiveness.</p>","PeriodicalId":16357,"journal":{"name":"Journal of Multidisciplinary Healthcare","volume":"18 ","pages":"5441-5459"},"PeriodicalIF":2.4,"publicationDate":"2025-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12415089/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145029988","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Bibliometric Analysis of Research Articles on Embedded Internet of Health Things (IoHT) Fall Detection in the Elderly Published from 2006 to 2025.","authors":"Dhika Dharmansyah, Laili Rahayuwati, Iqbal Pramukti, Kuswandewi Mutyara","doi":"10.2147/JMDH.S537047","DOIUrl":"10.2147/JMDH.S537047","url":null,"abstract":"<p><strong>Background: </strong>Falls are a major cause of injury and death among the elderly, highlighting the need for effective and real-time detection systems. Embedded Internet of Health Things (IoHT) technologies integrating sensors, microcontrollers, and communication modules offer continuous monitoring and rapid response. However, the research landscape remains fragmented, and no comprehensive bibliometric review has been conducted.</p><p><strong>Methods: </strong>This study presents a bibliometric analysis of articles on embedded IoHT-based fall detection for the elderly, indexed in Scopus from 2006 to April 2025. Keywords related to embedded systems, IoHT, fall detection, and elderly care were used. Data extracted included publication year, type, country, institution, author, citations, and methodology. Analysis included performance metrics, science mapping, and visualization using VOSviewer.</p><p><strong>Results: </strong>A total of 79 publications were found, mostly conference papers (55.7%) and journal articles (39.2%). Research activity increased notably after 2018, peaking in 2024. India, China, and the United States led in volume, while Spain and Ecuador produced highly cited works, especially on wearable and IoT-based solutions. Thematic analysis revealed four clusters: ambient intelligence, inertial sensors, demographic personalization, and networked wearables linked to telemedicine. Methodologies evolved from threshold-based to advanced AI, including machine learning, deep learning, and edge/cloud integration. Key gaps remain in standard datasets, privacy, and equitable demographic representation.</p><p><strong>Conclusion: </strong>Embedded IoHT fall detection research has grown rapidly, shifting toward AI-driven, clinically integrated, and user-centered systems. Future efforts should focus on standardization, privacy frameworks, and inclusive design to ensure broader real-world application in elderly care.</p>","PeriodicalId":16357,"journal":{"name":"Journal of Multidisciplinary Healthcare","volume":"18 ","pages":"5475-5488"},"PeriodicalIF":2.4,"publicationDate":"2025-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12415101/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145029936","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}