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Effects of the “Internet +” nursing model based on user profiling on postoperative recovery in breast cancer: A prospective randomized controlled clinical trial 基于用户画像的“互联网+”护理模式对乳腺癌术后康复的影响:一项前瞻性随机对照临床试验
IF 3.1 3区 医学 Q1 NURSING Pub Date : 2025-07-01 DOI: 10.1016/j.ijnss.2025.06.003
Xiuyuan Xie , Yuanfang Ren , Jia Yao , Yujie Fei , Fenghe Liu , Qian Tong , Juanjuan Huang , Meihong Kou , Cuifeng Jin , Weijuan Yang , Haiping Xu

Objectives

This study aimed to explore the effectiveness and advantages of an “Internet +” nursing model based on user profiling in the rehabilitation of postoperative breast cancer patients.

Methods

Breast cancer patients admitted to the hospital from July 2023 to September 2024 were enrolled. These patients were randomly assigned to a control group and an intervention group, with 52 patients in each group. The control group received routine nursing care, while the intervention group received an “Internet +” nursing intervention based on user profiling in addition to routine care. The intervention period lasted for one month following discharge. Before and one month after the intervention, the Fear of Progression Questionnaire-Short Form (FOP-Q-SF), the Fear of Cancer Recurrence Inventory-Short Form (FCRI-SF), Chinese Posttraumatic Growth Inventory (C-PTGI), and the Functional Assessment of Cancer Therapy-Breast (FACT-B) were applied to assess the effects of interventions.

Results

A total of 104 patients were analyzed. After the intervention, FOP-Q-SF and FCRI-SF scores were significantly lower in the intervention group compared to the control group, with statistical significance (t = 3.98, P < 0.001; t = −7.59, P < 0.001), and Cohen’s d of 0.781 and 1.49, respectively. Additionally, C-PTGI and FACT-B scores in the intervention group were significantly higher than those in the control group (t = −6.534, P < 0.001; t = −4.579, P < 0.001), with Cohen’s d of 0.585 and 0.656.

Conclusions

An “Internet +” nursing model based on user profiling could reduce postoperative breast cancer patients fear of disease progression and cancer recurrence, also enhancing posttraumatic growth and overall quality of life.
目的探讨基于用户图谱的“互联网+”护理模式在乳腺癌术后患者康复中的效果及优势。方法选取2023年7月至2024年9月在该院住院的乳腺癌患者。这些患者被随机分为对照组和干预组,每组52例。对照组接受常规护理,干预组在常规护理的基础上进行基于用户画像的“互联网+”护理干预。出院后随访1个月。在干预前和干预后1个月,分别采用进展恐惧问卷短表(top - q - sf)、癌症复发恐惧问卷短表(FCRI-SF)、中国创伤后生长量表(C-PTGI)和乳腺癌治疗功能评估(FACT-B)来评估干预效果。结果共分析104例患者。干预后,干预组FOP-Q-SF、FCRI-SF评分显著低于对照组,差异均有统计学意义(t = 3.98, P <;0.001;t =−7.59,P <;0.001), Cohen’s d分别为0.781和1.49。干预组C-PTGI和FACT-B评分显著高于对照组(t = - 6.534, P <;0.001;t = - 4.579, P <;0.001), Cohen’s d分别为0.585和0.656。结论基于用户图谱的“互联网+”护理模式可以降低乳腺癌术后患者对疾病进展和癌症复发的恐惧,提高创伤后生长和整体生活质量。
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引用次数: 0
Perceptions and experiences of generative artificial intelligence training to support research for Chinese nurses: A qualitative focus group study 生成式人工智能培训支持中国护士研究的认知和经验:一项定性焦点小组研究
IF 2.9 3区 医学 Q1 NURSING Pub Date : 2025-05-01 DOI: 10.1016/j.ijnss.2025.04.010
Ling Tong, Yirou Niu, Lixue Zhou, Shuai Jin, Yanling Wang, Qian Xiao

Objectives

Nurses’ clinical research activities have contributed to optimizing the care process and improving patient outcomes, and generative artificial intelligence (GAI) may help clinical nurses strengthen their research skills. To support research, this study aimed to explore the Chinese nurses’ perceptions and experiences of GAI training.

Methods

This study used a descriptive qualitative design. The China Nurses Network conducted a three-day training session on “GAI for Nursing Research” theme, we selected 23 nurses by a convenience sampling method among participating in the training. The researchers conducted three focus group interviews at the end of each day. All focus groups were interviewed face-to-face to facilitate interaction, data collection, and observation. The data were analyzed using conventional content analysis and coded manually.

Results

The results showed that nurses’ use of GAI to support scientific research was dynamic and characterized by evolving perceptions and practices. Four themes and 11 sub-themes emerged from the analysis: 1) utilization efficacy: cope with research ability, affected by many factors; 2) booster research: growth and challenges go hand in hand; 3) role reversal: from GAI-dominated to nurse-dominated; 4) beautiful dream: more features on research, more assistants on clinical care.

Conclusions

The effectiveness of GAI in supporting clinical nurses in conducting research is mainly limited by differences in personal research literacy, lack of ethical regulation, and information accuracy. In the future, it is necessary to improve nurses’ relevant skills through specialized training and promote the standardization of technical regulations to ensure the appropriate application of GAI in nursing research.
目的护士的临床研究活动有助于优化护理流程和改善患者预后,生成式人工智能(GAI)可以帮助临床护士加强研究技能。为了支持研究,本研究旨在探讨中国护士对GAI培训的认知和经验。方法本研究采用描述性定性设计。中国护士网开展了为期三天的“护理研究GAI”主题培训,我们采用方便抽样的方法从参加培训的护士中抽取了23名。研究人员在每天结束时进行了三次焦点小组访谈。所有焦点小组都进行了面对面访谈,以促进互动、数据收集和观察。数据分析采用传统的内容分析和手工编码。结果结果表明,护士对GAI支持科研的使用是动态的,具有不断变化的认知和实践特征。分析得出4个主题和11个副主题:1)利用效能:应对研究能力,受多种因素影响;2)助推器研究:成长与挑战齐头并进;3)角色转换:从人工智能主导到护士主导;4)美丽的梦想:更多的研究功能,更多的临床护理助手。结论GAI支持临床护士开展科研的有效性主要受个人科研素养差异、伦理规范缺失、信息准确性等因素制约。未来需要通过专业培训提高护士的相关技能,推动技术法规的标准化,确保GAI在护理研究中的适当应用。
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引用次数: 0
Efficacy and cost-effectiveness of digital health interventions in improving hypertensive outcomes among patients with uncontrolled hypertension: A systematic review 数字健康干预在改善未控制高血压患者高血压结局方面的疗效和成本效益:一项系统综述
IF 2.9 3区 医学 Q1 NURSING Pub Date : 2025-05-01 DOI: 10.1016/j.ijnss.2025.04.001
Saowaluck Sukpattanasrikul , Naruemol Singha-Dong , Yajai Sitthimongkol , Kanlayawee Anonjarn

Objectives

This systematic review aimed to identify effective and cost-effective digital health interventions to improve self-management behaviors, blood pressure control, and cardiovascular risk reduction.

Methods

A search for randomized and non-randomized control trials of digital health interventions among patients with uncontrolled hypertension was conducted from the databases of Embase, PubMed, Scopus, CINAHL, Web of Science, PsycINFO, Thai Journal Online (ThaiJO), the Faculty of Nursing Mahidol University (FON-MU) Nursing Research Database, and gray literature. After conducting the literature screening, the authors completed data extraction, and the risk of bias was assessed using the Joanna Briggs Institute randomized controlled trial checklist and the Joanna Briggs Institute critical appraisal checklist for quasi-experimental studies.

Results

The study included 22 articles, comprising 30 to 4,118 patients with uncontrolled hypertension. This review classified and summarized the components of digital health interventions and their effects on hypertensive outcomes. It was found that the key elements of digital health interventions include health education, reminders, self-monitoring, feedback and consultation, and instrumental support. Moreover, approximately 81.81 % (n = 18) of the digital health interventions involved healthcare providers participating in feedback and consultation. Additionally, digital health interventions effectively improve hypertensive outcomes such as self-management behaviors, blood pressure control, and cardiovascular risk reduction, providing cost-effectiveness.

Conclusion

Based on the available literature, digital health interventions have been shown to effectively enhance behavioral, clinical, and economic outcomes for individuals with uncontrolled hypertension. Moreover, the combination of digital health interventions and healthcare providers’ interventions can potentially help patients with uncontrolled hypertension improve adherence to self-management when compared to stand-alone digital health interventions. Digital health interventions to support self-management interventions should be developed for patients by healthcare providers.
本系统综述旨在确定有效且具有成本效益的数字健康干预措施,以改善自我管理行为、血压控制和心血管风险降低。方法从Embase、PubMed、Scopus、CINAHL、Web of Science、PsycINFO、Thai Journal Online (ThaiJO)、Mahidol大学护理学院(on- mu)护理研究数据库和灰色文献等数据库中检索数字健康干预在未控制高血压患者中的随机和非随机对照试验。在进行文献筛选后,作者完成数据提取,并使用Joanna Briggs Institute随机对照试验检查表和Joanna Briggs Institute准实验研究关键评价检查表评估偏倚风险。结果本研究纳入22篇文章,包括30 ~ 4118例未控制的高血压患者。这篇综述对数字健康干预的组成部分及其对高血压结局的影响进行了分类和总结。研究发现,数字卫生干预措施的关键要素包括健康教育、提醒、自我监测、反馈和咨询以及工具性支持。此外,大约81.81% (n = 18)的数字健康干预措施涉及医疗保健提供者参与反馈和咨询。此外,数字健康干预措施有效地改善了高血压的结局,如自我管理行为、血压控制和心血管风险降低,提供了成本效益。根据现有文献,数字健康干预已被证明可以有效地改善未控制的高血压患者的行为、临床和经济结果。此外,与独立的数字健康干预措施相比,数字健康干预措施和医疗保健提供者的干预措施相结合,有可能帮助未受控制的高血压患者提高自我管理的依从性。卫生保健提供者应为患者开发支持自我管理干预措施的数字卫生干预措施。
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引用次数: 0
A Mindfulness Breast Care App to reduce body image distress and stigma for breast cancer survivors: Development and preliminary quality assessment 正念乳房护理应用程序减少乳腺癌幸存者的身体形象困扰和耻辱:开发和初步质量评估
IF 2.9 3区 医学 Q1 NURSING Pub Date : 2025-05-01 DOI: 10.1016/j.ijnss.2025.04.007
Shuang Zheng , Wenhe Huang , Xueqin Zhang , Ying Hua , Sally Chan , Shengjie Liu , Yujing Zhong , Xiaoying Jiang , Jiemin Zhu

Objectives

This study aimed to develop and preliminarily assess the quality of a Mindfulness Breast Care (MBC) App to reduce body image distress and stigma among breast cancer survivors (BCSs).

Methods

The development process of the MBC App involved: 1) establishing a research group; 2) determining of the content of the MBC App based on Mindfulness-Based Cognitive Therapy and 3) technical exploitation and maintenance. A mixed-methods study was conducted. We selected ten BCSs by a convenience sampling method. After using the APP for three months, five assessed the quality using the Mobile App Rating Scale: User Version (uMARS) and another five were interviewed for process evaluation.

Results

The MBC App was developed with three modules: 1) Library to provide health education information on body image, stigma, mindfulness, recovery and etc; 2) Mindfulness Yoga to offer 12 Hatha yoga videos for daily practice; and 3) Mindfulness Practices to have 12 sessions of mindfulness videoconferences. Based on the uMARS data, the MBC App received high ratings for functionality (4.10 ± 0.34), aesthetics (3.93 ± 0.55), information quality (4.10 ± 0.72), and perceived impact (4.03 ± 0.96), as well as moderate ratings for engagement (3.72 ± 0.94) and subjective quality (3.87 ± 0.77). Participants indicated that the MBC App provided reliable knowledge, information, and emotional support. Recommendations from participants included categorizing knowledge in the Library Module, recording videoconferences of mindfulness practice, and adding discussion sessions in the videoconference. Afterward, we optimized the MBC App to enhance the user experience accordingly.

Conclusions

The MBC App offers online mindfulness interventions specifically for BCSs in China. The preliminary quality assessment indicates that the MBC App may be a promising tool for delivering mindfulness interventions to BCSs.
本研究旨在开发并初步评估正念乳房护理(MBC)应用程序的质量,以减少乳腺癌幸存者(BCSs)的身体形象困扰和耻辱感。方法MBC App开发过程涉及:1)成立课题组;2)基于正念认知疗法的MBC App内容确定,3)技术开发与维护。采用混合方法进行研究。我们采用方便抽样的方法选择了10个bcs。在使用该APP三个月后,5个应用程序使用移动应用程序评分量表:用户版本(uMARS)进行质量评估,另外5个应用程序进行流程评估。结果MBC App开发了三个模块:1)图书馆,提供身体形象、耻感、正念、康复等健康教育信息;2)正念瑜伽,提供12个哈达瑜伽视频供日常练习;3)正念练习,进行12次正念视频会议。根据uMARS数据,MBC App在功能(4.10±0.34),美学(3.93±0.55),信息质量(4.10±0.72)和感知影响(4.03±0.96)方面获得了较高的评分,在参与(3.72±0.94)和主观质量(3.87±0.77)方面获得了中等评分。参与者表示,MBC App提供了可靠的知识、信息和情感支持。参与者的建议包括在图书馆模块中对知识进行分类,录制正念练习的视频会议,并在视频会议中增加讨论环节。随后,我们对MBC App进行了优化,以提升用户体验。MBC应用程序专门为中国的bcs提供在线正念干预。初步的质量评估表明,MBC应用程序可能是向bcs提供正念干预的有前途的工具。
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引用次数: 0
Meta-synthesis of the experience of nurses with “Internet Nursing Service” in China 中国护士“互联网护理服务”经验的元综合
IF 2.9 3区 医学 Q1 NURSING Pub Date : 2025-05-01 DOI: 10.1016/j.ijnss.2025.04.012
Wenyan Liu, Yao Li, Huanhuan Zhu, Kexin Li, Haiting Deng, Xiaoyan Cai

Objective

Systematically integrate nurses’ experience with “Internet Nursing Service” to analysis the nurses’ experiences with “Internet Nursing Service”, and to provide a theoretical reference for formulating a more rational “Internet Nursing Service” model.

Methods

A systematic search in PubMed, Embase, Web of Science, the Cochrane Library, CINAHL, China National Knowledge Infrastructure (CNKI), Wanfang Database, and Chinese Biomedical Literature Database was conducted to collect qualitative research on nurses’ experiences with “Internet Nursing Service,” with a retrieval time limit from December 2019 to June 2024. Qualitative meta-synthesis was performed through line-by-line coding of relevant quotes, organization of codes into descriptive themes, and development of analytical themes.

Results

A total of 19 studies were included, one study was rated as Grade A in quality evaluation, and the remaining studies were rated as Grade B. Collectively synthesized into three integrated results: Harvest and growth, Difficulties and challenges, and Expectations and support. Harvest and growth, include 1) manifestation of self-value, 2) enhancing nursing capabilities, 3) optimizing nursing resources; Difficulties and challenges, include 1) lack of safety guarantee, 2) role conflict; Expectations and support include, 1) expectation for professional knowledge and skill training, 2) expectations for service platform optimization, 3) expectation for reasonable charges, 4) expectation for related policy support.

Conclusion

“Internet Nursing Service” model benefits both nurses and patients, but still full of challenges. It aids in the decentralization of medical resources. Management departments still need to encourage nurses to actively invest in “Internet Nursing Service” while ensuring their safety and interests.
目的系统整合护士对“互联网护理服务”的体验,分析护士对“互联网护理服务”的体验,为制定更合理的“互联网护理服务”模式提供理论参考。方法系统检索PubMed、Embase、Web of Science、Cochrane Library、CINAHL、中国知网(CNKI)、万方数据库、中国生物医学文献数据库,对护士使用“互联网护理服务”的体验进行定性研究,检索时限为2019年12月至2024年6月。定性综合是通过对相关引语逐行编码、将编码组织成描述性主题和发展分析性主题来完成的。结果共纳入19项研究,其中1项研究质量评价为A级,其余研究质量评价为b级,综合成收获与成长、困难与挑战、期望与支持三个综合结果。收获与成长包括:1)自我价值的体现;2)护理能力的提升;3)护理资源的优化;困难和挑战包括:1)缺乏安全保障;2)角色冲突;期望和支持包括:1)对专业知识技能培训的期望,2)对服务平台优化的期望,3)对合理收费的期望,4)对相关政策支持的期望。结论“互联网护理服务”模式对护患双方都有利,但仍存在诸多挑战。它有助于分散医疗资源。管理部门仍需鼓励护士在保障自身安全和利益的同时,积极投入“互联网护理服务”。
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引用次数: 0
A framework for developing spouse-inclusive digital applications in preventing perinatal depression and anxiety 开发配偶包容性数字应用程序以预防围产期抑郁和焦虑的框架
IF 2.9 3区 医学 Q1 NURSING Pub Date : 2025-05-01 DOI: 10.1016/j.ijnss.2025.04.014
Siti Roshaidai Arifin , Amalia Kamaruddin , Noor Azimah Muhammad , Mohd Said Nurumal , Hazwani Mohd Mohadis , Nik Hazlina Nik Hussain , Shanti Wardaningsih

Objective

Digital approaches have proven effective in alleviating symptoms of perinatal depression and anxiety. However, current online applications for perinatal mental health often exclude the role of spouses in the intervention. This study aimed to develop a spouse-inclusive framework for digital self-management of perinatal depression and anxiety based on the women, spouses, and experts’ viewpoints.

Methods

The spouse-inclusive framework was developed through two phases of study. In phase I, using a generic qualitative research design, in-depth interviews were conducted with 20 perinatal women (with symptoms of depression and anxiety) and 15 men (spouses) in the obstetrics and gynecology clinics in Sultan Ahmad Shah Medical Centre and Hospital Canselor Tuanku Muhriz. Findings from phase I were used to develop the spouse-inclusive framework, guided by the Digital Self-Care Framework by the WHO and existing literature review. In phase II, two rounds of expert reviews were conducted: the first round involved Content Validity Index (CVI) validation, and the second round consisted of focus-group discussion (FGD) sessions to refine the proposed framework.

Results

We proposed a framework known as i-PartnerPulse, which included three main sections: functions (participants’ profile, activity planning & reminder, goal setting & reward system, success stories), aimed at enhancing user motivation during app usage; contents (assessment, intervention, and further action), aimed to educate both parties on the spouse’s role, psychoeducation, and essential skills; approaches (good user experience, interactive user interface, sharing session, stress busters), aimed to engage users consistently. A total of 10 experts in psychology, healthcare, and technology validated the framework with an average CVI of 0.88, indicating the validity of the framework.

Conclusion

The findings suggest that a spouse-inclusive framework can be effectively used to develop self-care applications for perinatal depression and anxiety. Researchers, academics, and software developers can utilize this framework to create comprehensive interventions aimed at empowering patients and addressing the risks of depression and anxiety during the perinatal period.
目的数字方法已被证明对缓解围产期抑郁和焦虑症状有效。然而,目前关于围产期心理健康的在线申请往往排除了配偶在干预中的作用。本研究旨在基于女性、配偶和专家的观点,开发一个包含配偶的围产期抑郁和焦虑数字化自我管理框架。方法通过两个阶段的研究形成配偶包容框架。在第一阶段,采用一般定性研究设计,在苏丹艾哈迈德沙阿医疗中心和坎塞勒Tuanku Muhriz医院的妇产科诊所对20名围产期妇女(有抑郁和焦虑症状)和15名男子(配偶)进行了深入访谈。在世界卫生组织的数字自我护理框架和现有文献综述的指导下,使用第一阶段的研究结果来开发配偶包容框架。在第二阶段,进行了两轮专家评审:第一轮涉及内容效度指数(CVI)验证,第二轮包括焦点小组讨论(FGD)会议,以完善拟议的框架。我们提出了一个名为i-PartnerPulse的框架,其中包括三个主要部分:功能(参与者简介,活动计划和;提醒,目标设定& &;奖励系统,成功案例),旨在提高用户在应用使用过程中的动机;内容(评估、干预和进一步行动),旨在教育双方配偶的角色、心理教育和基本技能;方法(良好的用户体验、交互式用户界面、共享会话、压力消除器)旨在始终如一地吸引用户。共有10位心理学、卫生保健和技术专家对该框架进行了验证,平均CVI为0.88,表明该框架的有效性。结论配偶包容框架可有效开发围产期抑郁焦虑自我护理应用。研究人员、学者和软件开发人员可以利用这个框架来创建全面的干预措施,旨在增强患者的能力,并解决围产期抑郁和焦虑的风险。
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引用次数: 0
Barriers and facilitators of implementation sustainability of evidence-based practice for peristomal irritant contact dermatitis: A descriptive qualitative study 障碍和促进实施可持续性的证据为基础的实践对肠周刺激性接触性皮炎:一个描述性定性研究
IF 2.9 3区 医学 Q1 NURSING Pub Date : 2025-05-01 DOI: 10.1016/j.ijnss.2025.04.002
Nuo Zhang , Qiuwen Zhang , Cong Li , Yanbo Huang , Jiale Hu , Jiaqi Wang , Dong Pang

Objectives

To investigate the barriers and facilitators influencing the sustainable implementation of evidence-based practice (EBP) for Peristomal Irritant Contact Dermatitis (PICD) based on the Consolidated Framework for Implementation Research (CFIR).

Methods

The sample consisted of 17 nurses from three urology wards at a tertiary hospital in Beijing, China, who had participated in the EBP. Guided by the CFIR, we identified constructs influencing the sustainability of implementation by conducting a directed content analysis of the 17 individual in-depth interviews. By rating, the valence and magnitude of each construct were determined.

Results

This study identified 19 factors across the five domains of the CFIR. Among these determinants, 16 were identified as barriers, while three were recognized as facilitators. Common barriers across different contexts were identified, such as delayed evidence updating, the complexity of intervention components and steps, and incompatibility between the implementation process and clinical practices. In contrast, facilitators of intervention implementation were regular communication and feedback, support and drive from principals and a positive cultural atmosphere. In addition, we identified “regular evidence updating” as an independent construct outside of the CFIR, a finding that will provide key information for updating the CFIR framework.

Conclusions

Regular evidence updating is crucial for the sustainability of EBP implementation. Researchers should receive consistent feedback from practitioners and adjust or modify the EBP as necessary. Additionally, researchers must consider the compatibility or adaptability of the EBP’s content with clinical practice in formulating it rather than adding additional complexity to the original workflow.
目的基于实施研究统一框架(CFIR),探讨影响肠周刺激性接触性皮炎(PICD)循证实践(EBP)可持续实施的障碍和促进因素。方法选取北京某三级医院3个泌尿科病房17名参加EBP的护士为样本。在CFIR的指导下,我们通过对17个个人深度访谈进行定向内容分析,确定了影响实施可持续性的结构。通过评分,确定每个构念的效价和大小。结果本研究确定了CFIR的5个领域中的19个因素。在这些决定因素中,16个被确定为障碍,3个被确定为促进因素。确定了不同背景下的常见障碍,如延迟证据更新,干预成分和步骤的复杂性,以及实施过程与临床实践之间的不兼容性。相反,促进干预措施实施的因素是定期沟通和反馈、校长的支持和推动,以及积极的文化氛围。此外,我们将“定期证据更新”确定为CFIR之外的独立结构,这一发现将为更新CFIR框架提供关键信息。结论定期的证据更新对EBP实施的可持续性至关重要。研究者应该从从业者那里得到一致的反馈,并根据需要调整或修改EBP。此外,研究人员在制定EBP时必须考虑其内容与临床实践的兼容性或适应性,而不是给原始工作流程增加额外的复杂性。
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引用次数: 0
Healthcare providers’ perceptions of artificial intelligence in diabetes care: A cross-sectional study in China 医疗保健提供者对糖尿病护理中人工智能的看法:一项在中国进行的横断面研究
IF 2.9 3区 医学 Q1 NURSING Pub Date : 2025-05-01 DOI: 10.1016/j.ijnss.2025.04.013
Yongzhen Mo , Fang Zhao , Li Yuan , Qiuling Xing , Yingxia Zhou , Quanying Wu , Caihong Li , Juan Lin , Haidi Wu , Shunzhi Deng , Mingxia Zhang

Objectives

Diabetes remains a major global health challenge in China. Artificial intelligence (AI) has demonstrated considerable potential in improving diabetes management. This study aimed to assess healthcare providers’ perceptions regarding AI in diabetes care across China.

Methods

A cross-sectional survey was conducted using snowball sampling from November 12 to November 24, 2024. We selected 514 physicians and nurses by a snowball sampling method from healthcare providers across 30 cities or provinces in China. The self-developed questionnaire comprised five sections with 19 questions assessing medical workers’ demographic characteristics, AI-related experience and interest, awareness, attitudes, and concerns regarding AI in diabetes care. Statistical analysis was performed using t-test, analysis of variance (ANOVA), and linear regression.

Results

Among them, 20.0 % and 48.1 % of respondents had participated in AI-related research and training, while 85.4 % expressed moderate to high interest in AI training for diabetes care. Most respondents reported partial awareness of AI in diabetes care, and only 12.6 % exhibited a comprehensive or substantial understanding. Attitudes toward AI in diabetes care were generally positive, with a mean score of 24.50 ± 3.38. Nurses demonstrated significantly higher scores than physicians (P < 0.05). Greater awareness, prior AI training experience, and higher interest in AI training in diabetes care were strongly associated with more positive attitudes (P < 0.05). Key concerns regarding AI included trust issues from AI-clinician inconsistencies (77.2 %), increased workload and clinical workflow disruptions (63.4 %), and incomplete legal and regulatory frameworks (60.3 %). Only 34.2 % of respondents expressed concerns about job displacement, indicating general confidence in their professional roles.

Conclusions

While Chinese healthcare providers show moderate awareness of AI in diabetes care, their attitudes are generally positive, and they are considerably interested in future training. Tailored, role-specific AI training is essential for equitable and effective integration into clinical practice. Additionally, transparent, reliable, ethical AI models must be prioritized to alleviate practitioners’ concerns.
在中国,糖尿病仍然是一个主要的全球健康挑战。人工智能(AI)在改善糖尿病管理方面已显示出相当大的潜力。本研究旨在评估中国医疗保健提供者对人工智能在糖尿病护理中的看法。方法于2024年11月12日至11月24日采用滚雪球抽样法进行横断面调查。我们采用滚雪球抽样的方法从中国30个省市的医疗服务提供者中选择了514名医生和护士。该问卷由5个部分组成,共19个问题,评估医务工作者的人口统计学特征、人工智能相关经验和兴趣、对人工智能在糖尿病护理中的认识、态度和关注。采用t检验、方差分析(ANOVA)和线性回归进行统计分析。结果受访者中分别有20.0%和48.1%的人参加过人工智能相关的研究和培训,85.4%的人对糖尿病护理人工智能培训有中至高度的兴趣。大多数受访者表示对糖尿病护理中的人工智能有部分了解,只有12.6%的人表现出全面或实质性的了解。糖尿病患者对人工智能护理的态度总体为积极,平均得分为24.50±3.38分。护士的得分明显高于医生(P <;0.05)。更强的认知、先前的人工智能培训经验以及对糖尿病护理中人工智能培训的更高兴趣与更积极的态度密切相关(P <;0.05)。对人工智能的主要担忧包括人工智能临床医生不一致造成的信任问题(77.2%),工作量增加和临床工作流程中断(63.4%),以及不完整的法律和监管框架(60.3%)。只有34.2%的受访者表示担心工作被取代,这表明他们对自己的职业角色普遍充满信心。结论虽然中国医疗服务提供者对人工智能在糖尿病护理中的应用意识不高,但他们的态度总体上是积极的,并且对未来的培训相当感兴趣。量身定制的、针对特定角色的人工智能培训对于公平有效地融入临床实践至关重要。此外,必须优先考虑透明、可靠、道德的人工智能模型,以减轻从业者的担忧。
{"title":"Healthcare providers’ perceptions of artificial intelligence in diabetes care: A cross-sectional study in China","authors":"Yongzhen Mo ,&nbsp;Fang Zhao ,&nbsp;Li Yuan ,&nbsp;Qiuling Xing ,&nbsp;Yingxia Zhou ,&nbsp;Quanying Wu ,&nbsp;Caihong Li ,&nbsp;Juan Lin ,&nbsp;Haidi Wu ,&nbsp;Shunzhi Deng ,&nbsp;Mingxia Zhang","doi":"10.1016/j.ijnss.2025.04.013","DOIUrl":"10.1016/j.ijnss.2025.04.013","url":null,"abstract":"<div><h3>Objectives</h3><div>Diabetes remains a major global health challenge in China. Artificial intelligence (AI) has demonstrated considerable potential in improving diabetes management. This study aimed to assess healthcare providers’ perceptions regarding AI in diabetes care across China.</div></div><div><h3>Methods</h3><div>A cross-sectional survey was conducted using snowball sampling from November 12 to November 24, 2024. We selected 514 physicians and nurses by a snowball sampling method from healthcare providers across 30 cities or provinces in China. The self-developed questionnaire comprised five sections with 19 questions assessing medical workers’ demographic characteristics, AI-related experience and interest, awareness, attitudes, and concerns regarding AI in diabetes care. Statistical analysis was performed using <em>t</em>-test, analysis of variance (ANOVA), and linear regression.</div></div><div><h3>Results</h3><div>Among them, 20.0 % and 48.1 % of respondents had participated in AI-related research and training, while 85.4 % expressed moderate to high interest in AI training for diabetes care. Most respondents reported partial awareness of AI in diabetes care, and only 12.6 % exhibited a comprehensive or substantial understanding. Attitudes toward AI in diabetes care were generally positive, with a mean score of 24.50 ± 3.38. Nurses demonstrated significantly higher scores than physicians (<em>P</em> &lt; 0.05). Greater awareness, prior AI training experience, and higher interest in AI training in diabetes care were strongly associated with more positive attitudes (<em>P</em> &lt; 0.05). Key concerns regarding AI included trust issues from AI-clinician inconsistencies (77.2 %), increased workload and clinical workflow disruptions (63.4 %), and incomplete legal and regulatory frameworks (60.3 %). Only 34.2 % of respondents expressed concerns about job displacement, indicating general confidence in their professional roles.</div></div><div><h3>Conclusions</h3><div>While Chinese healthcare providers show moderate awareness of AI in diabetes care, their attitudes are generally positive, and they are considerably interested in future training. Tailored, role-specific AI training is essential for equitable and effective integration into clinical practice. Additionally, transparent, reliable, ethical AI models must be prioritized to alleviate practitioners’ concerns.</div></div>","PeriodicalId":37848,"journal":{"name":"International Journal of Nursing Sciences","volume":"12 3","pages":"Pages 218-224"},"PeriodicalIF":2.9,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144166858","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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
Navigating the integration of artificial intelligence in Nursing: Opportunities, challenges, and strategic actions 引导人工智能在护理中的整合:机遇、挑战和战略行动
IF 2.9 3区 医学 Q1 NURSING Pub Date : 2025-05-01 DOI: 10.1016/j.ijnss.2025.04.009
Rick Yiu Cho Kwan , Anson Chui Yan Tang , Janet Yuen Ha Wong , Wentao Zhou , Maria Theresa Belcina , Gracielle Ruth Adajar , Misae Ito , Irvin Ong , Younhee Kang , Jing Jing Su , Julia Sze Wing Wong
The advent of artificial intelligence (AI) in recent years has brought about transformative changes across various sectors, including healthcare. In nursing practice, education, and research, AI has the potential to revolutionize traditional methodologies, enhance learning experiences, and improve patient outcomes. Integrating AI tools and techniques can provide clinicians with smarter clinical solutions and nursing students with more robust and interactive learning environments, while also advancing research capabilities in the field. Despite the promising prospects, the incorporation of AI into nursing practice, education, and research presents several challenges. Firstly, there is a concern about the potential displacement of human roles in nursing due to automation, which may affect the human-centric nature of nursing care. Secondly, there are issues related to the lag in AI competency among nurses. Many current nursing curricula do not include comprehensive AI training, leading to a lack of preparedness in utilizing these technologies effectively. Lastly, the ethical implications of AI in healthcare, such as data privacy, patient consent, and the potential for biased algorithms, need to be meticulously addressed. To harness the full potential of AI in nursing practice, education, and research, several strategic actions including reinvesting in humanistic practice, revising core competencies and curriculum, and developing new ethical guidelines.
近年来,人工智能(AI)的出现给包括医疗保健在内的各个行业带来了革命性的变化。在护理实践、教育和研究中,人工智能有可能彻底改变传统的方法,增强学习经验,改善患者的治疗效果。集成人工智能工具和技术可以为临床医生提供更智能的临床解决方案,为护理学生提供更强大和互动的学习环境,同时还可以提高该领域的研究能力。尽管前景光明,但将人工智能纳入护理实践、教育和研究仍存在一些挑战。首先,人们担心自动化可能会取代人类在护理中的角色,这可能会影响护理以人为中心的本质。其次,护士的人工智能能力存在滞后问题。目前许多护理课程不包括全面的人工智能培训,导致在有效利用这些技术方面缺乏准备。最后,人工智能在医疗保健领域的伦理影响,如数据隐私、患者同意和有偏见的算法的可能性,需要仔细解决。为了充分利用人工智能在护理实践、教育和研究中的潜力,采取了几项战略行动,包括重新投资人文实践、修订核心能力和课程,以及制定新的道德准则。
{"title":"Navigating the integration of artificial intelligence in Nursing: Opportunities, challenges, and strategic actions","authors":"Rick Yiu Cho Kwan ,&nbsp;Anson Chui Yan Tang ,&nbsp;Janet Yuen Ha Wong ,&nbsp;Wentao Zhou ,&nbsp;Maria Theresa Belcina ,&nbsp;Gracielle Ruth Adajar ,&nbsp;Misae Ito ,&nbsp;Irvin Ong ,&nbsp;Younhee Kang ,&nbsp;Jing Jing Su ,&nbsp;Julia Sze Wing Wong","doi":"10.1016/j.ijnss.2025.04.009","DOIUrl":"10.1016/j.ijnss.2025.04.009","url":null,"abstract":"<div><div>The advent of artificial intelligence (AI) in recent years has brought about transformative changes across various sectors, including healthcare. In nursing practice, education, and research, AI has the potential to revolutionize traditional methodologies, enhance learning experiences, and improve patient outcomes. Integrating AI tools and techniques can provide clinicians with smarter clinical solutions and nursing students with more robust and interactive learning environments, while also advancing research capabilities in the field. Despite the promising prospects, the incorporation of AI into nursing practice, education, and research presents several challenges. Firstly, there is a concern about the potential displacement of human roles in nursing due to automation, which may affect the human-centric nature of nursing care. Secondly, there are issues related to the lag in AI competency among nurses. Many current nursing curricula do not include comprehensive AI training, leading to a lack of preparedness in utilizing these technologies effectively. Lastly, the ethical implications of AI in healthcare, such as data privacy, patient consent, and the potential for biased algorithms, need to be meticulously addressed. To harness the full potential of AI in nursing practice, education, and research, several strategic actions including reinvesting in humanistic practice, revising core competencies and curriculum, and developing new ethical guidelines.</div></div>","PeriodicalId":37848,"journal":{"name":"International Journal of Nursing Sciences","volume":"12 3","pages":"Pages 241-245"},"PeriodicalIF":2.9,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144166861","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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
“Becoming a family”—the effects of the hidden curriculum in transferring institutional mission: An experience from a century-old nursing school “成为一个家庭”——隐性课程在机构使命转移中的作用:来自一所百年护理学校的经验
IF 2.9 3区 医学 Q1 NURSING Pub Date : 2025-05-01 DOI: 10.1016/j.ijnss.2025.04.005
Aimei Mao , Hon-Lon Tam , Pak-Leng Cheong , Iat-Kio Van

Objectives

This study aimed to examine the role of the hidden curriculum in transmitting the educational mission and its impacts on nursing students’ professional socialization.

Methods

This constructivist grounded theory study involved twenty-six students and five faculty members from a century-old nursing school in Macau. Semi-structured interviews examined the factors influencing nursing students’ choice of a specific nursing school and their general learning experiences in nursing studies. Open and focused coding was employed to develop categories and concepts that capture the nuances of how the hidden curriculum influences students’ personal experiences, perceptions, and values related to developing their professional identities. The data analysis was guided by the “Community of Practice” model.

Results

The educational mission fostered a hidden curriculum that emphasized nurturing qualities and social responsibilities, creating a family-like learning environment that positively influenced the professional socialization of nursing students. Under the core theme of “becoming a family,” two sub-themes emerged: “student-peer interactions - fostering sisterly/brotherly learning partnerships” and “student-faculty interactions – faculty’s acting as parenting instructors.” While the hidden curriculum promoted a democratic and egalitarian learning atmosphere among student-peers, it simultaneously reinforced hierarchical power dynamics among senior-junior students and student-faculty relationships, mirroring the power-based interpersonal dynamics often found in traditional Chinese families.

Conclusions

Explicating the educational mission can help shape a hidden curriculum that benefits nursing students’ professional socialization. Faculty members should reflect on the power inequalities reproduced by the hidden curriculum and establish appropriate boundaries in student-faculty relationships.
目的探讨隐性课程在护生教育使命传递中的作用及其对护生专业社会化的影响。方法采用建构主义理论对澳门一所百年护理学校的26名学生和5名教师进行研究。半结构式访谈考察了护生选择特定护理学校的影响因素和他们在护理学习中的一般学习经历。开放和专注的编码被用于开发类别和概念,这些类别和概念捕捉了隐藏课程如何影响学生的个人经历、观念和与发展他们的职业身份相关的价值观的细微差别。数据分析以“实践共同体”模型为指导。结果教育使命培养了注重培养素质和社会责任的隐性课程,营造了家庭式的学习环境,对护生的专业社会化产生了积极影响。在“成为一个家庭”的核心主题下,出现了两个副主题:“学生与同伴的互动——培养姐妹/兄弟般的学习伙伴关系”和“学生与教师的互动——教师作为育儿导师的作用”。虽然隐性课程在学生之间促进了民主和平等的学习氛围,但同时也强化了高年级和低年级学生之间的等级权力动态和师生关系,反映了中国传统家庭中经常发现的基于权力的人际动态。结论明确教育使命有助于形成有利于护生专业社会化的隐性课程。教师应反思隐性课程所带来的权力不平等,并在师生关系中建立适当的界限。
{"title":"“Becoming a family”—the effects of the hidden curriculum in transferring institutional mission: An experience from a century-old nursing school","authors":"Aimei Mao ,&nbsp;Hon-Lon Tam ,&nbsp;Pak-Leng Cheong ,&nbsp;Iat-Kio Van","doi":"10.1016/j.ijnss.2025.04.005","DOIUrl":"10.1016/j.ijnss.2025.04.005","url":null,"abstract":"<div><h3>Objectives</h3><div>This study aimed to examine the role of the hidden curriculum in transmitting the educational mission and its impacts on nursing students’ professional socialization.</div></div><div><h3>Methods</h3><div>This constructivist grounded theory study involved twenty-six students and five faculty members from a century-old nursing school in Macau. Semi-structured interviews examined the factors influencing nursing students’ choice of a specific nursing school and their general learning experiences in nursing studies. Open and focused coding was employed to develop categories and concepts that capture the nuances of how the hidden curriculum influences students’ personal experiences, perceptions, and values related to developing their professional identities. The data analysis was guided by the “Community of Practice” model.</div></div><div><h3>Results</h3><div>The educational mission fostered a hidden curriculum that emphasized nurturing qualities and social responsibilities, creating a family-like learning environment that positively influenced the professional socialization of nursing students. Under the core theme of “becoming a family,” two sub-themes emerged: “student-peer interactions - fostering sisterly/brotherly learning partnerships” and “student-faculty interactions – faculty’s acting as parenting instructors.” While the hidden curriculum promoted a democratic and egalitarian learning atmosphere among student-peers, it simultaneously reinforced hierarchical power dynamics among senior-junior students and student-faculty relationships, mirroring the power-based interpersonal dynamics often found in traditional Chinese families.</div></div><div><h3>Conclusions</h3><div>Explicating the educational mission can help shape a hidden curriculum that benefits nursing students’ professional socialization. Faculty members should reflect on the power inequalities reproduced by the hidden curriculum and establish appropriate boundaries in student-faculty relationships.</div></div>","PeriodicalId":37848,"journal":{"name":"International Journal of Nursing Sciences","volume":"12 3","pages":"Pages 293-300"},"PeriodicalIF":2.9,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144166764","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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
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International Journal of Nursing Sciences
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