Informatics for health & social care最新文献_第7页

Identifying biological markers and sociodemographic factors that influence the gap between phenotypic and chronological ages. 确定影响表型年龄和计时年龄之间差距的生物标记和社会人口因素。

IF 2.4

Informatics for health & social care Pub Date : 2024-10-01 Epub Date: 2024-09-24 DOI: 10.1080/17538157.2024.2400247

Daniele Pala, Jia Xu, Yuezhi Xie, Yuqin Zhang, Li Shen

{"title":"Identifying biological markers and sociodemographic factors that influence the gap between phenotypic and chronological ages.","authors":"Daniele Pala, Jia Xu, Yuezhi Xie, Yuqin Zhang, Li Shen","doi":"10.1080/17538157.2024.2400247","DOIUrl":"10.1080/17538157.2024.2400247","url":null,"abstract":"Introduction: The world's population is aging rapidly, leading to increased public health and economic burdens due to age-related cardiovascular and neurodegenerative diseases. Early risk detection is essential for prevention and to improve the quality of life in elderly individuals. Plus, health risks associated with aging are not directly tied to chronological age, but are also influenced by a combination of environmental exposures. Past research has introduced the concept of \"Phenotypic Age,\" which combines age with biomarkers to estimate an individual's health risk.Methods: This study explores which factors contribute most to the gap between chronological and phenotypic ages. We combined ten machine learning regression techniques applied to the NHANES dataset, containing demographic, laboratory and socioeconomic data from 41,474 patients, to identify the most important features. We then used clustering analysis and a mixed-effects model to stratify by sex, ethnicity, and education.Results: We identified 28 demographic, biological and environmental factors related to a significant gap between phenotypic and chronological ages. Stratifying for sex, education and ethnicity, we found statistically significant differences in the outcome distributions.Conclusion: By showing that health risk prevention should consider both biological and sociodemographic factors, we offer a new approach to predict aging rates and potentially improve targeted prevention strategies for age-related conditions.","PeriodicalId":101409,"journal":{"name":"Informatics for health & social care","volume":" ","pages":"162-176"},"PeriodicalIF":2.4,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11576235/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142335972","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multimorbidity in neurodegenerative diseases: a network analysis. 神经退行性疾病的多病症：网络分析。

Informatics for health & social care Pub Date : 2024-10-01 Epub Date: 2024-10-03 DOI: 10.1080/17538157.2024.2405869

Mostafa Amini, Ali Bagheri, Martin P Paulus, Dursun Delen

{"title":"Multimorbidity in neurodegenerative diseases: a network analysis.","authors":"Mostafa Amini, Ali Bagheri, Martin P Paulus, Dursun Delen","doi":"10.1080/17538157.2024.2405869","DOIUrl":"10.1080/17538157.2024.2405869","url":null,"abstract":"The socioeconomic costs of neurodegenerative diseases (NDs) are highly affected by comorbidities. This study aims to enhance our understanding of the prevalent complications of NDs through the lens of network analysis. A multimorbidity network (MN) was constructed based on a longitudinal EHR dataset of 93,647,498 diagnoses of 824,847 patients. The association between the conditions was measured by two metrics, i.e. Phi-correlation and Cosine Index (CI). Based on multiple network centrality measures, a fused ranking list of the prevalent multimorbidities was provided. Finally, class-level networks depicting the prevalence and strength of diseases in different classes were constructed. The general MN included 928 diseases and 337,253 associations. Considering a 99% confidence level, two networks of 575 relationships were constructed based on Phi-correlations (73 diseases) and CI (102 diseases). Five out of 19 ICD-9 categories did not appear in either of the networks. Also, ND's immediate MNs for the top 50% of the significant associations included 42 relationships, whereas the Phi-correlation and CI networks included 36 and 34 diseases, respectively. Thirteen diseases were identified as the most notable multimorbidities based on various centrality measures. The analysis framework helps practitioners toward better resource allocations, more effective preventive screenings, and improved quality of life for ND patients and caregivers.","PeriodicalId":101409,"journal":{"name":"Informatics for health & social care","volume":" ","pages":"212-226"},"PeriodicalIF":0.0,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142373987","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}

引用次数: 0

Health seeking behavior during high health-risk period: a bibliometric analysis. 健康风险高发期的求医行为：文献计量分析。

Informatics for health & social care Pub Date : 2024-10-01 Epub Date: 2024-10-27 DOI: 10.1080/17538157.2024.2412563

Akash Pal, Pragya Taneja, Milind K Yadav, Pratap C Mohanty

{"title":"Health seeking behavior during high health-risk period: a bibliometric analysis.","authors":"Akash Pal, Pragya Taneja, Milind K Yadav, Pratap C Mohanty","doi":"10.1080/17538157.2024.2412563","DOIUrl":"10.1080/17538157.2024.2412563","url":null,"abstract":"Health-seeking behavior represents the actions taken to prevent the disease and promote health. It emphasizes both the illness response and the healthcare utilization driven by perceived threat and effectiveness of the preventive behavior. This study aims to scrutinize the progression of research conducted on health-seeking behavior in high-risk period such as COVID-19 using bibliometric analysis. The bibliometric analysis is performed on Scopus and Web of Science databases. Research articles in the English language were extracted using keywords, such as health-seeking behavior and COVID. Eight hundred twenty-five research articles at the final and early publication stage in the English language were extracted from Scopus and 623 from WoS using the keywords Health Seeking Behavior and COVID. Of these, 259 in Scopus and 109 in WoS were selected for the final study following the authors' eligibility criteria. It analyses the research directions, countries of publications, core journals, leading authors and institutions and important publications followed by research trends in this field. It summarizes the academic interest of the researchers in health-seeking behavior in low- and middle-income countries. The paper informs and directs researchers and policymakers on the state of research in health-seeking behavior during high-health risk periods.","PeriodicalId":101409,"journal":{"name":"Informatics for health & social care","volume":" ","pages":"227-245"},"PeriodicalIF":0.0,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142515848","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}

引用次数: 0

SLB - SMOTE logistic blending hybrid machine learning model for chronic polycystic ovary syndrome prediction with correlated feature selection. SLB - 利用相关特征选择预测慢性多囊卵巢综合征的 SMOTE 逻辑混合混合机器学习模型。

Informatics for health & social care Pub Date : 2024-10-01 Epub Date: 2024-10-27 DOI: 10.1080/17538157.2024.2405868

S Vairachilai, Devarakonda Anuhya, Anjeleen Tirkey, S P Raja

{"title":"SLB - SMOTE logistic blending hybrid machine learning model for chronic polycystic ovary syndrome prediction with correlated feature selection.","authors":"S Vairachilai, Devarakonda Anuhya, Anjeleen Tirkey, S P Raja","doi":"10.1080/17538157.2024.2405868","DOIUrl":"10.1080/17538157.2024.2405868","url":null,"abstract":"Objective: In this study, we aimed to develop a machine learning (ML) model for predicting Polycystic Ovary Syndrome (PCOS) based on demographic, clinical, and biochemical parameters.Methodology: We collected data from Kaggle, which included information on age, body mass index, menstrual cycle length, follicle-stimulating hormone, hair growth, and more. Using this data, we trained several traditional ML and ensemble algorithms to predict PCOS.Results: Among the traditional ML algorithms, Logistic Regression emerged as the best, boasting the highest accuracy of 0.91 and an AUC of 0.90. In ensemble algorithms, the Blending algorithm outperformed other ensemble methods, also achieving an accuracy of 0.91 and an AUC of 0.90, with a balanced precision and recall of 0.88.Significance of the research: These results establish Logistic Regression and the Blending algorithm as optimal choices for accurate and reliable PCOS prediction, demonstrating strong discriminative power and the ability to correctly classify PCOS cases.","PeriodicalId":101409,"journal":{"name":"Informatics for health & social care","volume":" ","pages":"190-211"},"PeriodicalIF":0.0,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142515864","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}

引用次数: 0

Adoption of mobile dementia prevention services for middle-aged and older adults: applying the theory of coping strategies for dementia risks. 为中老年人提供预防痴呆症的移动服务：应用痴呆症风险应对策略理论。

Informatics for health & social care Pub Date : 2024-10-01 Epub Date: 2024-10-06 DOI: 10.1080/17538157.2024.2404941

Jimin Lee, Hyeyoon Bae, Euehun Lee

{"title":"Adoption of mobile dementia prevention services for middle-aged and older adults: applying the theory of coping strategies for dementia risks.","authors":"Jimin Lee, Hyeyoon Bae, Euehun Lee","doi":"10.1080/17538157.2024.2404941","DOIUrl":"10.1080/17538157.2024.2404941","url":null,"abstract":"The prevalence of dementia is increasing due to the aging population, leading to significant investments in information technology-based dementia care solutions such as mobile dementia prevention services (MDPS). These services aim to facilitate early diagnosis and prevent cognitive decline, with the ultimate goal of reducing medical costs. This study examines how aging individuals perceive and evaluate MDPS and how these perceptions influence their adoption intentions. Drawing from a coping perspective, we analyze the impact of susceptibility and severity dimensions in dementia risk perception on the perceived usefulness and self-incongruence in MDPS adoption. Focusing on middle-aged and older adults aged 55 and above, the study reveals significant but contrasting effects of susceptibility and severity. Perceived susceptibility of dementia is associated with emotion-focused coping, positively influencing self-incongruence with MDPS. Perceived severity of dementia is linked to problem-focused coping, negatively impacting self-incongruence but positively influencing the perceived usefulness of MDPS, promoting adoption. These findings provide insights into promoting MDPS by considering dementia risk perceptions and contribute to the development of effective dementia-related strategies for aging individuals.","PeriodicalId":101409,"journal":{"name":"Informatics for health & social care","volume":" ","pages":"177-189"},"PeriodicalIF":0.0,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142383179","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}

引用次数: 0

Functional size measurement of postnatal care apps: Morocco case study. 产后护理应用程序的功能大小测量：摩洛哥案例研究。

Informatics for health & social care Pub Date : 2024-04-02 Epub Date: 2024-03-26 DOI: 10.1080/17538157.2024.2332693

Karima Moumane, Lamyae Sardi, Ali Idri, Alain Abran

引用次数: 0

Usability testing of a mobile health application to support individuals with active tuberculosis: a mixed methods study. 支持活动性肺结核患者的移动医疗应用程序可用性测试：一项混合方法研究。

Informatics for health & social care Pub Date : 2024-04-02 Epub Date: 2024-03-26 DOI: 10.1080/17538157.2024.2333379

Alexander John Stabile, Sarah Iribarren, Jennifer Sonney, George Demiris, Rebecca Schnall

{"title":"Usability testing of a mobile health application to support individuals with active tuberculosis: a mixed methods study.","authors":"Alexander John Stabile, Sarah Iribarren, Jennifer Sonney, George Demiris, Rebecca Schnall","doi":"10.1080/17538157.2024.2333379","DOIUrl":"10.1080/17538157.2024.2333379","url":null,"abstract":"Poor adherence to tuberculosis (TB) treatment leads to further disease transmission, worsened outcomes, and the development of drug resistance. Digital adherence technologies may facilitate a more patient-centered approach for improving TB treatment outcomes than current strategies. The objective of this study was to evaluate and explore improving usability of the TB Treatment Support Tools (TB-TST) mobile application. We used an iterative convergent mixed-method design consisting of two quantitative surveys and a qualitative think-aloud interview. Testing was conducted in three testing cycles consisting of a total of 16 interviews and 26 surveys. Results were thematically analyzed and reported to the development team during weekly team meetings. Participants rated the TB-TSTs application as having high usability and the iterative approach resulted in several refinements to the application in response to participant feedback. These refinements were well received during qualitative interviews but did not result in a statistically significant improvement in usability testing scores between cycles. Using an iterative convergent mixed-method design was an effective method for refining our mHealth application. Data collected from think-aloud interviews, the MAUQ, and the Health-ITUES identified key areas of application design that needed refinement.","PeriodicalId":101409,"journal":{"name":"Informatics for health & social care","volume":" ","pages":"136-148"},"PeriodicalIF":0.0,"publicationDate":"2024-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11250676/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140290135","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

How satisfied are patients with nursing care and why? A comprehensive study based on social media and opinion mining. 患者对护理服务的满意度如何？基于社交媒体和意见挖掘的综合研究。

Informatics for health & social care Pub Date : 2024-01-02 Epub Date: 2024-01-04 DOI: 10.1080/17538157.2023.2297307

Jesus Serrano-Guerrero, Mohammad Bani-Doumi, Francisco Chiclana, Francisco P Romero, Jose A Olivas

{"title":"How satisfied are patients with nursing care and why? A comprehensive study based on social media and opinion mining.","authors":"Jesus Serrano-Guerrero, Mohammad Bani-Doumi, Francisco Chiclana, Francisco P Romero, Jose A Olivas","doi":"10.1080/17538157.2023.2297307","DOIUrl":"10.1080/17538157.2023.2297307","url":null,"abstract":"To assess the overall experience of a patient in a hospital, many factors must be analyzed; nonetheless, one of the key aspects is the performance of nurses as they closely interact with patients on many occasions. Nurses carry out many tasks that could be assessed to understand the patient's satisfaction and consequently, the effectiveness of the offered services. To assess their performance, traditionally, expensive, and time-consuming methods such as questionnaires and interviews have been used; nevertheless, the development of social networks has allowed the patients to convey their opinions in a free and public manner. For that reason, in this study, a comprehensive analysis has been performed based on patients' opinions collected from a feedback platform for health and care services, to discover the topics about nurses the patients are more interested in. To do so, a topic modeling technique has been proposed. After this, sentiment analysis has been applied to classify the topics as satisfactory or unsatisfactory. Finally, the results have been compared with what the patients think about doctors. The results highlight what topics are most relevant to assess the patient satisfaction and to what extent. The results remark that the opinion about nurses is, in general, more positive than about doctors.","PeriodicalId":101409,"journal":{"name":"Informatics for health & social care","volume":" ","pages":"14-27"},"PeriodicalIF":0.0,"publicationDate":"2024-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139099471","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}

引用次数: 0

Alzheimer's in the modern age: Ethical challenges in the use of digital monitoring to identify cognitive changes. 现代老年痴呆症：使用数字监控识别认知变化的伦理挑战。

Informatics for health & social care Pub Date : 2024-01-02 Epub Date: 2023-12-20 DOI: 10.1080/17538157.2023.2294203

Claire M Erickson, Anna Wexler, Emily A Largent

引用次数: 0

Empowering the digital health workforce in Latin America in the context of the COVID-19 pandemic: the Peruvian case. 在 COVID-19 大流行的背景下增强拉丁美洲数字医疗队伍的能力：秘鲁案例。

Informatics for health & social care Pub Date : 2024-01-02 Epub Date: 2024-02-13 DOI: 10.1080/17538157.2024.2315266

Walter H Curioso, Lelis G Coronel-Chucos, Elsa Oscuvilca-Tapia

{"title":"Empowering the digital health workforce in Latin America in the context of the COVID-19 pandemic: the Peruvian case.","authors":"Walter H Curioso, Lelis G Coronel-Chucos, Elsa Oscuvilca-Tapia","doi":"10.1080/17538157.2024.2315266","DOIUrl":"10.1080/17538157.2024.2315266","url":null,"abstract":"The COVID-19 pandemic has exposed significant gaps in healthcare access, quality, and the urgent need for enhancing the capacity of digital health human resources, particularly in Latin America. During the pandemic, online courses and telehealth initiatives supported by governmental agencies, the Pan American Health Organization, and other public and private resources, have played a crucial role in meeting training demands. This article discusses the role of capacity building programs in digital health within the context of Latin America, with a specific focus on the Peruvian case. We highlight the development of digital health competencies and related policies, while also describing selected experiences related to capacity building in this field. Additionally, we discuss the pivotal role of collaborative partnerships among institutions and countries, emphasizing the importance of culturally relevant training programs in digital health. These initiatives have the potential to accelerate training and research opportunities in Latin America, drawing on the involvement of government agencies, non-governmental organizations, industry, universities, professional societies, and communities.","PeriodicalId":101409,"journal":{"name":"Informatics for health & social care","volume":" ","pages":"73-82"},"PeriodicalIF":0.0,"publicationDate":"2024-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139731395","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}

引用次数: 0