Background: The adoption of digitization has emerged as a new trend in the advancement of healthcare systems. To ensure high-quality care, nurses should possess sufficient skills to assist in the digital transformation of healthcare practices. Suitable tools have seldom been developed to assess nurses' skills in digital applications. This study aimed to develop the Nursing Digital Application Skill Scale (NDASS) and test its psychometric properties.
Methods: The Nursing Digital Application Skill Scale was developed in three phases. In Phase 1, an item pool was developed based on previous literature and the actual situation of nursing work. Phase 2 included 14 experts' assessment of content validity and a focus group interview with 30 nurses to pretest the scale. In phase 3, 429 registered nurses were selected from March to June 2023, and item analysis, exploratory factor analysis, and confirmatory factor analysis were used to refine the number of items and explore the factor structure of the scale. Additionally, reliability was determined by internal consistency and test-retest reliability.
Results: The final version of the NDASS consisted of 12 items. The content validity index of NDASS reached 0.975 at an acceptable level. The convergent validity test showed that the average variance extracted value was 0.694 (> 0.5) and the composite reliability value was 0.964 (> 0.7), both of which met the requirements. The principal component analysis resulted in a single-factor structure explaining 74.794% of the total variance. All the fitting indices satisfied the standard based upon confirmatory factor analyses, indicating that the single-factor structure contributed to an ideal model fit. The internal consistency appeared high for the NDASS, reaching a Cronbach's alpha value of 0.968. The test-retest reliability was 0.740, and the split-half coefficient was 0.935.
Conclusion: The final version of the NDASS, which possesses adequate psychometric properties, is a reliable and effective instrument for nurses to self-assess digital skills in nursing work and for nursing managers in designing nursing digital skill training.
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http://dx.doi.org/10.1186/s12912-024-02030-8 | DOI Listing |
J Med Internet Res
January 2025
Department of Education and Research in Health Sciences, Faculty of Health Sciences, Medical University of Warsaw, Warsaw, Poland.
Background: Social media is used as a tool for information exchange, entertainment, education, and intervention. Intervention efforts attempt to engage users in skin health.
Objective: This review aimed to collect and summarize research assessing the impact of social media on skin health promotion activities undertaken by social media users.
Objective: Hematopoietic stem cell transplant is a life-saving procedure that treats patients with various conditions by transplanting hematopoietic stem cells from bone marrow. Mobile health apps could be useful in closing the digital divide and improving health equity among Spanish-speaking caregivers of children who undergo pediatric hematopoietic stem cell transplant. This study aims to transcreate the BMT4me adherence app originally designed for English-speaking caregivers for Spanish-speaking caregivers and evaluate the feasibility and usability.
View Article and Find Full Text PDFAging Ment Health
January 2025
School of Social Work, University of Southern California, Los Angeles, CA, USA.
Objectives: Few digital health interventions for dementia caregivers, especially for racial and ethnic minorities, include long-term follow-ups. This study assessed the feasibility of two-year follow-up of the Wellness Enhancement for Caregivers (WECARE) intervention for Chinese American dementia caregivers, examined the changes in psychosocial health and explored future strategies.
Method: A mixed-method study was conducted two years after the initial WECARE intervention trial.
Eur J Cardiovasc Nurs
January 2025
Department of Environmental and Occupational Health, School of Public Health, University of Nevada, 4505 S Maryland Pkwy, Las Vegas, NV 89154, USA.
Aims: This study aimed to determine the effect of a multi-component mHealth intervention on patient activation and examine its predictors among older adults at risk of cardiovascular disease (CVD).
Methods And Results: This pilot randomized controlled trial compared two groups: Get FIT (control), who received healthy lifestyle counselling from a licensed health coach, a mHealth app (MyFitnessPal) with push alerts, and an activity tracker, and Get FIT + (intervention), who received the same interventions and had personalized text messages with 3- and 6-month follow-up periods. Patient activation was measured using the 13-item Patient Activation Measure; higher scores indicated better activation.
J Adv Nurs
January 2025
Department of Urology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Aim: To explore nursing students' perceptions and experiences of using large language models and identify the facilitators and barriers by applying the Theory of Planned Behaviour.
Design: A qualitative descriptive design.
Method: Between January and June 2024, we conducted individual semi-structured online interviews with 24 nursing students from 13 medical universities across China.
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