Informatics for health & social care最新文献_第8页

Perceptions of pre-licensure nursing students toward telecare and telenursing. 执照前护理专业学生对远程护理和远程护理的看法。

Informatics for health & social care Pub Date : 2024-01-02 Epub Date: 2024-01-11 DOI: 10.1080/17538157.2024.2303642

Izzeddin A Bdair

{"title":"Perceptions of pre-licensure nursing students toward telecare and telenursing.","authors":"Izzeddin A Bdair","doi":"10.1080/17538157.2024.2303642","DOIUrl":"10.1080/17538157.2024.2303642","url":null,"abstract":"Telehealth transforms the healthcare system and provides the population with equal access to healthcare services at distance. This study aimed to investigate nursing students' perceptions toward telenursing. Students' knowledge, attitudes, advantages, disadvantages, barriers, and factors that affect the intention toward telenursing implementation were addressed. This study was conducted using a descriptive design. The study participants were 313 undergraduate nursing students. Data were gathered through a web-based survey from June to August 2022 and analyzed using SPSS version 22. Fifty-four-point-six percent (54.6%) of the students were male and 45.4% were female. Around one-fourth were internship students. Most students had access to the internet 97.4%. The results revealed that nursing students have positive perceptions toward telenursing. Their overall competencies in terms of knowledge, proficiency, awareness, and familiarity were moderate. Students raised some disadvantages and difficulties regarding telenursing; meanwhile, more advantages and suggestions to overcome the disadvantages were reported. It is of utmost importance that nursing education integrates telenursing content and practice to prepare future nurses for the successful implementation of telenursing. More research is still needed to examine the impact of telenursing on nursing practice. Nursing administrators must develop appropriate and prompt interventions to respond to the dramatically changing healthcare environment.","PeriodicalId":101409,"journal":{"name":"Informatics for health & social care","volume":" ","pages":"42-55"},"PeriodicalIF":0.0,"publicationDate":"2024-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139418882","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

Old age or cognitive decline? Examining the usability of a mobile health app for older Australians. 年老还是认知能力下降？研究针对澳大利亚老年人的移动健康应用程序的可用性。

Informatics for health & social care Pub Date : 2024-01-02 Epub Date: 2024-03-26 DOI: 10.1080/17538157.2024.2332691

Breda McCarthy, Jagdeep Kaur Sabharwal, Shailey Chawla

{"title":"Old age or cognitive decline? Examining the usability of a mobile health app for older Australians.","authors":"Breda McCarthy, Jagdeep Kaur Sabharwal, Shailey Chawla","doi":"10.1080/17538157.2024.2332691","DOIUrl":"10.1080/17538157.2024.2332691","url":null,"abstract":"There is a growing literature on the role of mobile health applications (mHealth apps) in supporting older adults and the self-management of personal health. The purpose of this pilot study is to assess the usability of a government-funded mobile health app amongst older Australians and to evaluate whether cognitive function and demographic characteristics (i.e. age, gender, education) are associated with usability. A total of 28 older adults living in a regional city in Australia took part in the study. The participants were recruited using purposive sampling. Data collection instruments consisted of validated cognitive tests, task-based usability tests, and a questionnaire. The data was analyzed using non-parametric strategies. The findings of this study demonstrated that a government-funded, mHealth app was usable by older adults. Users were able to perform basic tasks in an effective and efficient manner. The hypothesis that elderly age would be significantly associated with performance on cognitive tests, as well as usability, was not supported. Performance on some cognitive tests was significantly and positively related to usability. Education and gender were not related to usability. The results suggest that traditional stereotypes surrounding aging and cognitive decline need to be reexamined.","PeriodicalId":101409,"journal":{"name":"Informatics for health & social care","volume":" ","pages":"83-97"},"PeriodicalIF":0.0,"publicationDate":"2024-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140290134","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

Algorithmic identification of persons with dementia for research recruitment: ethical considerations. 对痴呆症患者进行算法识别以招募研究人员：伦理考虑。

Informatics for health & social care Pub Date : 2024-01-02 Epub Date: 2024-01-10 DOI: 10.1080/17538157.2023.2299881

Alex John London, Jason Karlawish, Emily A Largent, Spencer Phillips Hey, Ellen P McCarthy

引用次数: 0

Predicting COVID-19 new cases in California with Google Trends data and a machine learning approach. 利用谷歌趋势数据和机器学习方法预测加利福尼亚州的 COVID-19 新病例。

Informatics for health & social care Pub Date : 2024-01-02 Epub Date: 2024-02-14 DOI: 10.1080/17538157.2024.2315246

Amir Habibdoust, Maryam Seifaddini, Moosa Tatar, Ozgur M Araz, Fernando A Wilson

{"title":"Predicting COVID-19 new cases in California with Google Trends data and a machine learning approach.","authors":"Amir Habibdoust, Maryam Seifaddini, Moosa Tatar, Ozgur M Araz, Fernando A Wilson","doi":"10.1080/17538157.2024.2315246","DOIUrl":"10.1080/17538157.2024.2315246","url":null,"abstract":"Background: Google Trends data can be a valuable source of information for health-related issues such as predicting infectious disease trends.Objectives: To evaluate the accuracy of predicting COVID-19 new cases in California using Google Trends data, we develop and use a GMDH-type neural network model and compare its performance with a LTSM model.Methods: We predicted COVID-19 new cases using Google query data over three periods. Our first period covered March 1, 2020, to July 31, 2020, including the first peak of infection. We also estimated a model from October 1, 2020, to January 7, 2021, including the second wave of COVID-19 and avoiding possible biases from public interest in searching about the new pandemic. In addition, we extended our forecasting period from May 20, 2020, to January 31, 2021, to cover an extended period of time.Results: Our findings show that Google relative search volume (RSV) can be used to accurately predict new COVID-19 cases. We find that among our Google relative search volume terms, \"Fever,\" \"COVID Testing,\" \"Signs of COVID,\" \"COVID Treatment,\" and \"Shortness of Breath\" increase model predictive accuracy.Conclusions: Our findings highlight the value of using data sources providing near real-time data, e.g., Google Trends, to detect trends in COVID-19 cases, in order to supplement and extend existing epidemiological models.","PeriodicalId":101409,"journal":{"name":"Informatics for health & social care","volume":" ","pages":"56-72"},"PeriodicalIF":0.0,"publicationDate":"2024-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139731396","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

Evaluation of a multifunctional technology system in a memory care unit: Opportunities for innovation in dementia care. 记忆护理单元中多功能技术系统的评估：痴呆症护理创新的机会。

Informatics for health & social care Pub Date : 2016-12-01 Epub Date: 2016-01-28 DOI: 10.3109/17538157.2015.1064428

Amanda Lazar, George Demiris, Hilaire J Thompson

{"title":"Evaluation of a multifunctional technology system in a memory care unit: Opportunities for innovation in dementia care.","authors":"Amanda Lazar, George Demiris, Hilaire J Thompson","doi":"10.3109/17538157.2015.1064428","DOIUrl":"https://doi.org/10.3109/17538157.2015.1064428","url":null,"abstract":"Introduction: Stimulating recreational and leisure activities (RLAs) are essential to physical and mental well-being; however, people living in memory care units (MCUs) may lack access to them. Technology has the potential to facilitate and enrich activity engagement in this context.Objectives: In this 6-month study, we evaluated a commercially available system designed to encourage the engagement of people with dementia in activities and social interactions, using a mixed-methods approach in a MCU.Methods: Quantitative measures included those to evaluate cognition, depression, quality of life, and resource utilization. We qualitatively evaluated the system using semi-structured interviews with family members and staff. Five residents with dementia, four family members, and seven staff were included in the 6-month study.Results: Staff and family members reported benefits for residents such as enjoyment, interactions and connections with others, and mental stimulation. Findings also highlight challenges such as technical and ethical concerns. Factors that influence system use and integration are also discussed.Conclusion: It was feasible to introduce a system designed for recreation and engagement in a MCU, and staff, family members, and residents experienced benefits. However, barriers existed in the introduction and use of the system.","PeriodicalId":101409,"journal":{"name":"Informatics for health & social care","volume":"41 4","pages":"373-86"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.3109/17538157.2015.1064428","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71490975","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: 23