Applied Nursing Research最新文献

{"title":"Longitudinal analysis of adolescents at high risk of depression: Prediction models","authors":"Jisu Park ,&nbsp;Eun Kyoung Choi ,&nbsp;Mona Choi","doi":"10.1016/j.apnr.2025.151927","DOIUrl":"10.1016/j.apnr.2025.151927","url":null,"abstract":"<div><h3>Background</h3><div>This study aimed to develop a machine-learning-based predictive model to identify adolescents at high risk of depression using longitudinal analysis to determine changes in risk factors over time.</div></div><div><h3>Methods</h3><div>This longitudinal study used 4 years of data from the Korea Child and Youth Panel Survey (2018–2021). The classification of high-risk depression was the outcome variable, with predictors categorized into general characteristics and personal, family, and school factors. The machine learning algorithms used in the analysis included logistic regression, support vector machine, decision tree, random forest, and extreme gradient boosting.</div></div><div><h3>Results</h3><div>Among the 1833 adolescents classified as having a low risk of depression during the initial survey year, 27.8 % were identified as being at a high risk of depression over the subsequent 3 years. The extreme gradient boosting algorithm yielded the best performance with an area under the curve of 0.9302. The key predictors identified included violent tendencies, self-esteem, sleep duration, gender, and coercive parenting style.</div></div><div><h3>Conclusion</h3><div>A machine-learning-based predictive model for identifying adolescents at high risk of depression was developed. These findings provide a foundation for early screening and the development of intervention programs and policies aimed at mitigating adolescent depression risk.</div></div>","PeriodicalId":50740,"journal":{"name":"Applied Nursing Research","volume":"82 ","pages":"Article 151927"},"PeriodicalIF":2.7,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143474898","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Experiences and support of Australian nurses who identify as a second victim: A mixed methods study","authors":"Monica Peddle ,&nbsp;Madeline McPhillips ,&nbsp;Rachel Cross ,&nbsp;Lauren Zarb","doi":"10.1016/j.apnr.2025.151925","DOIUrl":"10.1016/j.apnr.2025.151925","url":null,"abstract":"<div><h3>Aims</h3><div>In this study, researchers investigated experiences and key elements of effective support programs that promote recovery in nurses who identify as second victims in Australia.</div></div><div><h3>Design</h3><div>Sequential explanatory mixed methods investigated experiences of nurses who identify as second victims, including support received and any educational and training included.</div></div><div><h3>Methods</h3><div>Data were collected using survey and in-depth interviews. Survey data were analysed using descriptive and non-parametric testing and thematic analysis was used to analyse qualitative data.</div></div><div><h3>Results</h3><div>Forty-three nurses indicated involvement in a patient safety incident in the previous five years with 27 nurses completing the survey. Thirty-seven percent reported experiencing psychological distress and 33% physical symptoms. Only 4% reported experiencing weak colleague support while 22% reported poor supervisor and 56% poor organisational support. Qualitative data from seven interviews revealed five themes identified included the Education and training; Environment surrounding the event; Burden of reporting; a ‘You’ve just got to get on with it’ culture; and Ways to action positive change.</div></div><div><h3>Conclusion</h3><div>Empathy and support from trained peer support colleagues were key elements to recovery of nurses who identified as second victims. The role of culture, and family values and beliefs in support of second victims need further investigation. Support programs need to address, not only psychological consequences of a patient safety event on the nurse, but also physical ramifications. Support of supervisors and organisations following a patient safety event may facilitate retention of nurses. The role of education and training in support programs requires further investigation.</div></div>","PeriodicalId":50740,"journal":{"name":"Applied Nursing Research","volume":"82 ","pages":"Article 151925"},"PeriodicalIF":2.7,"publicationDate":"2025-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143438207","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The effect of gender role stress on psychological distress in pregnant women","authors":"Serap Açıkgöz ,&nbsp;Sakine Yılmaz ,&nbsp;Sevda Güvenç","doi":"10.1016/j.apnr.2025.151926","DOIUrl":"10.1016/j.apnr.2025.151926","url":null,"abstract":"<div><h3>Aim</h3><div>To examine the effect of gender role stress on psychological distress in pregnant women.</div></div><div><h3>Background</h3><div>Recognition and prevention of potential psychological as well as physiological adversities during pregnancy are critical in terms of reducing their impacts on mother and baby health and developing preventive health services.</div></div><div><h3>Methods</h3><div>This cross-sectional study was conducted with 182 volunteer pregnant women in Türkiye. Data were collected using a Personal Information Form, an Obstetric Characteristics Information Form, the Feminine Gender Role Stress Scale (FGRSS), and the Kessler Psychological Distress Scale (K10-PDS). Data analysis included independent samples <em>t</em>-test, one-way analysis of variance, Duncan test, Pearson correlation coefficient, and linear regression analysis.</div></div><div><h3>Results</h3><div>The mean K10-PDS score of the pregnant women was 37.55 ± 8.87, which showed they were likely to have a severe mental disorder. There was a statistically significant difference between scale scores according to education level, perceived income, intervention of people outside the home, marital adjustment, and the presence of a health problem during the current pregnancy (<em>p</em> &lt; 0.05). It was determined that there was a weak negative relationship between the FGRSS and K10-PDS (<em>r</em> = −0.283; <em>p</em> &lt; 0.001) and that feminine gender role stress had an effect on psychological distress (F = 7332; p &lt; 0.001).</div></div><div><h3>Conclusions</h3><div>The results of the study draw attention to pregnant women's need for psychological support. To reduce the adverse psychological effects of gender role stress on pregnant women in prenatal care services, studies on factors affecting adaptation to the pregnancy process can be planned.</div></div>","PeriodicalId":50740,"journal":{"name":"Applied Nursing Research","volume":"82 ","pages":"Article 151926"},"PeriodicalIF":2.7,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143438208","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Nurses' competence and needs to assist advance directives for institutionalized people with dementia and their family","authors":"Hui-Chen Chao ,&nbsp;Yen-Lin Chen ,&nbsp;Hsiu-Ching Lin ,&nbsp;Jing-Jy Wang ,&nbsp;Ya-Ping Yang","doi":"10.1016/j.apnr.2025.151924","DOIUrl":"10.1016/j.apnr.2025.151924","url":null,"abstract":"<div><div>There is growing recognition of advance directives (AD) in dementia, however a gap remains between their perceived importance and actual implementation. This emphasizes the need to enhance healthcare professionals' support for people with dementia (PWD) with regards to making AD. This study aimed to investigate the competence, difficulties, and support needs of nurses in assisting institutionalized PWD to make AD. This mixed methods study included both quantitative and qualitative data analysis. Purposive sampling was used to recruit potential participants, and a self-developed questionnaire was used for data collection. Data were analyzed using descriptive statistics and <em>t</em>-test for quantitative information, and content analysis for qualitative information. A total of 188 questionnaires from 19 institutions were completed. The scores of knowledge, attitudes and skills in assisting PWD with making AD were 33.9, 39.4 and 39.5, respectively. The nurses stated that the difficulties in assisting PWD with making AD were a lack of relevant expertise, understanding the AD, and that they were unsure of how to handle conflicting viewpoints within the family. More in-service training and online courses on dementia and AD were required, as well as the creation of health education pamphlets and patient decision aids to help PWD and their families make decisions about AD. The results of this study can serve as a reference for understanding the competencies, improvements, needed support and in-service education of nurses in an institutional setting to assist PWD with making AD. We recommend the promotion of AD through related leading associations and their institutions.</div></div>","PeriodicalId":50740,"journal":{"name":"Applied Nursing Research","volume":"82 ","pages":"Article 151924"},"PeriodicalIF":2.7,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143378808","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Factors influencing digital health competence among healthcare professionals: A cross-sectional study","authors":"Goran ERFANI ,&nbsp;Jemma McCREADY ,&nbsp;Beckie GIBSON ,&nbsp;Bethany NICHOL ,&nbsp;John UNSWORTH ,&nbsp;Erika JARVA ,&nbsp;Kristina MIKKONEN ,&nbsp;Marco TOMIETTO","doi":"10.1016/j.apnr.2025.151922","DOIUrl":"10.1016/j.apnr.2025.151922","url":null,"abstract":"<div><h3>Background</h3><div>Improving healthcare professionals' digital health competence is critical to providing safer care. However, there is still a lack of empirical studies exploring the factors influencing healthcare professionals' digital health competence, even though significant investments have been made to advance digitalisation of healthcare globally.</div></div><div><h3>Aim</h3><div>This study aimed to identify the key characteristics influencing healthcare professionals' digital health competence.</div></div><div><h3>Methods</h3><div>Cross-sectional data was collected from 252 healthcare professionals using two instruments measuring the digital health competences and the associated educational and organisational factors in 2024 via an online and paper-based survey. Univariate and binary logistic regression analyses were performed to identify the key characteristics influencing digital health competence.</div></div><div><h3>Results</h3><div>Higher levels of education, working in a hospital, more professional experience, and increased use of digital solutions at work or during free time were associated with higher digital health competence. Higher qualifications were linked to greater digital health competence across several factors, with postgraduate degrees increasing health-related counselling competence and undergraduate degrees enhancing work-related attitudes and evaluating digital solutions. Professionals with university qualifications and those working in hospital settings showed higher ICT competence, while more years of professional experience increased ethical competence in using digital solutions.</div></div><div><h3>Conclusions</h3><div>Digital health competence development should prioritise healthcare professionals with lower educational levels. Additionally, such initiatives should include supporting those who work in non-hospital settings, have less professional experience, and use digital solutions less frequently at work or in their free time. Professional experience increases ethical competence in using digital solutions. Continuous professional development interventions and organisational policies should consider these factors to improve healthcare professionals' digital health competences.</div></div>","PeriodicalId":50740,"journal":{"name":"Applied Nursing Research","volume":"82 ","pages":"Article 151922"},"PeriodicalIF":2.7,"publicationDate":"2025-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143378807","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Text-based fall prediction in hospital: Development and internal validation of a model to predict in-hospital falls in older patients using free text from daily nursing records","authors":"Marjolein Groeneveld ,&nbsp;Wendy L.M. Leurs ,&nbsp;Arthur R.A. Bouwman ,&nbsp;Jimmy Schenk ,&nbsp;Loes Lammers ,&nbsp;Angelique Dierick ,&nbsp;Erik Korsten ,&nbsp;Carolien C.M.J. van der Linden","doi":"10.1016/j.apnr.2025.151923","DOIUrl":"10.1016/j.apnr.2025.151923","url":null,"abstract":"<div><h3>Aim</h3><div>The aim of this study was to evelop a predictive model, estimating the probability of an in-hospital fall using previously identified associated words, and word combinations in daily nursing records. To assess the difference in discriminatory ability between the predictive model and currently used screening questions.</div></div><div><h3>Background</h3><div>Hospital falls are a persistent challenge. Identifying patients at high risk before fall incidents occur is essential to optimize preventive measures and reduce the burden on nursing staff.</div></div><div><h3>Method</h3><div>Words from daily nursing records were used as predictive variables to construct and validate the model. The DeLong's test was used to determine statistical differences between the developed model and the current screening questions.</div></div><div><h3>Results</h3><div>A total of 3255 consecutive admissions of patients aged 70 and over were included, of whom 110 experiences a fall. Upon internal validation, the predictive text model demonstrated moderate discriminatory ability (AUC-ROC 0. 737 (CI 95 % 0. 683–0.791)) and good calibration across a range of the risk groups. Compared to the screening questions (AUC-ROC 0.603 (CI 95 % 0.555–0.652)) the text model (AUC-ROC 0.734 (CI 95 % 0.679–0.788)) showed significantly better discriminatory ability (DeLong's − 3.93, <em>p</em> ≤0.001).</div></div><div><h3>Conclusion</h3><div>Daily nursing records can be used to estimate the probability of in-hospital falls. A text-based predictive model outperforms the currently employed screening questions and provides insights for the efficient use of fall prevention interventions. Further research should focus on improving the accuracy and external validation of the model and implementation strategies.</div></div>","PeriodicalId":50740,"journal":{"name":"Applied Nursing Research","volume":"82 ","pages":"Article 151923"},"PeriodicalIF":2.7,"publicationDate":"2025-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143422013","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The content analysis used in nursing research and the possibility of including artificial intelligence support: A methodological review","authors":"Agnieszka Maj ,&nbsp;Marta Makowska ,&nbsp;Katarzyna Sacharczuk","doi":"10.1016/j.apnr.2025.151919","DOIUrl":"10.1016/j.apnr.2025.151919","url":null,"abstract":"<div><h3>Background</h3><div>This article explores how AI supports nurses by employing content analysis for scientific nursing research.</div></div><div><h3>Methods</h3><div>A narrative literature review was conducted.</div></div><div><h3>Results</h3><div>The article summarizes the knowledge known about content analysis and outlines qualitative and quantitative content analysis concepts and simplifies the issues related to the coding process. It explains how to identify and assess quality during content analysis and gives examples of topics that can be investigated using it, especially in the field of nursing.</div></div><div><h3>Conclusions</h3><div>Knowledge of AI capabilities is needed to make positive use of it. These capabilities change very quickly and require constant knowledge updates. Legal and ethical regulations concerning the use of technology are still lacking, so AI outputs still require human verification of them.</div></div>","PeriodicalId":50740,"journal":{"name":"Applied Nursing Research","volume":"82 ","pages":"Article 151919"},"PeriodicalIF":2.7,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143350871","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Development and usability evaluation of a nurse-led clinical decision support system (AI-AntiDelirium) for management of intensive care unit delirium: A mixed methods study","authors":"Shan Zhang ,&nbsp;Shu Ding ,&nbsp;Wei Cui ,&nbsp;Xiangyu Li ,&nbsp;Jun Wei ,&nbsp;Ying Wu","doi":"10.1016/j.apnr.2025.151921","DOIUrl":"10.1016/j.apnr.2025.151921","url":null,"abstract":"<div><h3>Background</h3><div>Clinical decision support systems (CDSS) have been identified to aid clinical decision-making, but few studies focus on the application of CDSS in intensive care unit (ICU) delirium, and particularly usability testing is not employed. We aimed to develop and conduct usability testing of <u>A</u>rtificial <u>I</u>ntelligence <u>A</u>ssisted Preve<u>nti</u>on and Management for <u>Delirium</u> (<em>AI-AntiDelirium</em>), a CDSS designed to identify delirium and modifiable risk factors and prevent and manage delirium in the ICU.</div></div><div><h3>Methods</h3><div>Between January and April 2021, a cross-sectional study including 117 ICU nurses recruited for usability testing from four ICUs in two university-affiliated hospitals was conducted. The development of <em>AI-AntiDelirium</em> included needs assessment, function design, iterative design, agile development, and usability testing using the Delirium System Usability Evaluation Scale (Delirium-SUES).</div></div><div><h3>Results</h3><div>Based on the needs assessment, <em>AI-AntiDelirium</em> was developed to contain four main modules—delirium assessment tools, risk-factor assessment, nursing care plan, and care activity list—and was designed to provide individualized interventions based on patient risk factors. The mean Delirium-SUES score was 184.64 (full score: 210), indicating that <em>AI-AntiDelirium</em> was acceptable in terms of usefulness, ease of use, attitude, use tendency, and long-term effects.</div></div><div><h3>Conclusions</h3><div>Our study developed <em>AI-AntiDelirium</em>, a CDSS perceived as useful and easy to use. Incorporating usability evaluation when designing <em>AI-AntiDelirium</em> may be effective in and enhancing clinical staff use.</div></div>","PeriodicalId":50740,"journal":{"name":"Applied Nursing Research","volume":"82 ","pages":"Article 151921"},"PeriodicalIF":2.7,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143272482","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Measuring self-care in the general adult population: Cross-validation of the Self-care Inventory","authors":"Michela Luciani ,&nbsp;Maddalena De Maria ,&nbsp;Claudio Barbaranelli ,&nbsp;Paola Claudia Fazio ,&nbsp;Barbara Riegel ,&nbsp;Davide Ausili","doi":"10.1016/j.apnr.2025.151920","DOIUrl":"10.1016/j.apnr.2025.151920","url":null,"abstract":"<div><h3>Introduction</h3><div>Self-care is essential for health promotion, disease management and social justice. Robust, theory-based tools are needed for its measurement. The Self-care Inventory (SCI) was developed to measure self-care behaviours in adults regardless of their health status. The aims of this study are to measure validity of the SCI in an Italian sample and measurement equivalence in US and Italian samples.</div></div><div><h3>Methods</h3><div>We recruited 340 Italian and 294 US adults with convenience sampling. The Self-care Inventory, new General Self-Efficacy Scale, Positivity Scale, Perceived Stress Scale, and a clinical and sociodemographic questionnaire were administered online. Confirmatory factor analysis (CFA) was used to assess the factor structure of the SCI. Measurement equivalence testing was conducted using Multiple Group Confirmatory Factor Analysis, testing configural, metric, scalar, and strict invariance. For the Italian version of the SCI, reliability and construct validity were also tested.</div></div><div><h3>Results</h3><div>The SCI factorial structure was confirmed by CFA in the Italian sample. As for measurement equivalence, the Self-care maintenance scale demonstrated full metric and partial scalar invariance, indicating similar cognitive frameworks between US and Italian respondents. The Self-care Monitoring and Self-care Management scales achieved partial metric invariance. Reliability indices were satisfactory: Cronbach’s alpha and Global Reliability Index ranged from 0.69 to 0.84, and test-retest reliability values ranged from 0.70 to 0.84. Construct validity was supported by significant correlations between SCI scales and measures of self-efficacy, positivity, and perceived stress.</div></div><div><h3>Conclusion</h3><div>The SCI is valid and reliable for measuring self-care behaviours in the Italian population. Measurement equivalence show that SCI can be used cross-culturally and results from Italian and US samples are comparable. Our results support the use of the SCI in national and international self-care research and practice.Keywords: self-care, general adult population, measurement equivalence, validity, reliability.</div></div>","PeriodicalId":50740,"journal":{"name":"Applied Nursing Research","volume":"82 ","pages":"Article 151920"},"PeriodicalIF":2.7,"publicationDate":"2025-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143272500","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Family caregivers' perception of pressure ulcer prevention devices and equipment for patients with cerebrovascular and spinal disease","authors":"Hyein Choi ,&nbsp;Sunghee H. Tak","doi":"10.1016/j.apnr.2024.151893","DOIUrl":"10.1016/j.apnr.2024.151893","url":null,"abstract":"<div><h3>Background</h3><div>Family caregivers play a crucial role in preventing pressure ulcers in patients with cerebrovascular and spinal diseases. Despite the availability of advanced devices, including Internet of Things(IoT) based smart mattresses, the adoption and effectiveness of these technologies are influenced by caregivers' experiences and perceptions.</div></div><div><h3>Objective</h3><div>To investigate the experiences and perceptions of family caregivers regarding pressure ulcer prevention devices and equipment, with a focus on the factors influencing the intention to adopt IoT-based smart mattresses.</div></div><div><h3>Design</h3><div>A cross-sectional survey study.</div></div><div><h3>Setting(s) and participants</h3><div>159 family caregivers of patients with cerebrovascular and spinal diseases, who had experiences with pressure ulcer prevention devices.</div></div><div><h3>Methods</h3><div>Data for this study were collected through survey questionnaires. Descriptive statistics, frequency analysis and multiple regression analysis were conducted.</div></div><div><h3>Results</h3><div>Caregivers reported using an average of 1.69 types of pressure ulcer prevention equipment, with cushions (37.7 %) and mattresses (44.0 %) being the most commonly used. Ease of use and comfort were identified as key factors contributing to their satisfaction. The multiple regression model (R² = 0.54, <em>p</em> &lt; .001) revealed that ease of use (<em>p</em> &lt; .01), perceived usefulness (<em>p</em> <em>&lt;</em> .01), and perceived necessity (<em>p</em> <em>&lt;</em> .01) were significant predictors of participants' intention to adopt smart mattresses. In addition, the number of digital devices owned by caregivers was positively associated with the intention to adopt smart mattress (<em>p</em> &lt; .001).</div></div><div><h3>Conclusions</h3><div>The findings of this study show the importance of usability and digital inclusion in the adoption of smart health technologies by caregivers. A user-centered approach to device development is recommended to better meet the practical needs of family caregivers.</div></div>","PeriodicalId":50740,"journal":{"name":"Applied Nursing Research","volume":"81 ","pages":"Article 151893"},"PeriodicalIF":2.7,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143048310","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}