Background: Numerous instruments are designed to measure digital literacy among the general population. However, few studies have assessed the use and appropriateness of these measurements for older populations. Objective: This systematic review aims to identify and critically appraise studies assessing digital literacy among older adults and to evaluate how digital literacy instruments used in existing studies address the elements of age-appropriate digital literacy using the European Commission’s Digital Competence (DigComp) Framework. Methods: Electronic databases were searched for studies using validated instruments to assess digital literacy among older adults. The quality of all included studies was evaluated using the Crowe Critical Appraisal Tool (CCAT). Instruments were assessed according to their ability to incorporate the competence areas of digital literacy as defined by the DigComp Framework: (1) information and data literacy, (2) communication and collaboration, (3) digital content creation, (4) safety, and (5) problem-solving ability, or attitudes toward information and communication technology use. Results: Searches yielded 1561 studies, of which 27 studies (17 cross-sectional, 2 before and after, 2 randomized controlled trials, 1 longitudinal, and 1 mixed methods) were included in the final analysis. Studies were conducted in the United States (18/27), Germany (3/27), China (1/27), Italy (1/27), Sweden (1/27), Canada (1/27), Iran (1/27), and Bangladesh (1/27). Studies mostly defined older adults as aged ≥50 years (10/27) or ≥60 years (8/27). Overall, the eHealth Literacy Scale (eHEALS) was the most frequently used instrument measuring digital literacy among older adults (16/27, 59%). Scores on the CCAT ranged from 34 (34/40, 85%) to 40 (40/40, 100%). Most instruments measured 1 or 2 of the DigComp Framework’s elements, but the Mobile Device Proficiency Questionnaire (MDPQ) measured all 5 elements, including “digital content creation” and “safety.” Conclusions: The current digital literacy assessment instruments targeting older adults have both strengths and weaknesses, relative to their study design, administration method, and ease of use. Certain instrument modalities like the MDPQ are more generalizable and inclusive and thus, favorable for measuring the digital literacy of older adults. More studies focusing on the suitability of such instruments for older populations are warranted, especially for areas like “digital content creation” and “safety” that currently lack assessment. Evidence-based discussions regarding the implications of digitalization for the treatment of older adults and how health care professionals may benefit from this phenomenon are encouraged.

Heart failure is a chronic disease requiring lifetime self-management at home by patients, who often require additional support. However, the long-term nature of this self-management presents great challenges for both heart failure patients and their family caregivers. The role of family caregivers is critical, but little is known about the relationship between the burden, stress, depressive symptoms, and quality of life in the family caregivers of heart failure patients. We aimed to explore caregiver burden, stress, depressive symptoms, and quality of life in both patients with heart failure and their family caregivers and identify the factors associated with family caregivers’ quality of life. The sample included 120 participants (60 heart failure patients and 60 corresponding family caregivers) from cardiovascular outpatient clinics at 2 university-affiliated hospitals in South Korea from September 2018 to July 2019. The mean ages of the heart failure patients and their caregivers were 72.72 (SD = 12.73) and 57.03 (SD = 13.42) years, respectively. Caregiver burden (r = −0.601, P < .001) and caregiver depressive symptoms (r = -0.535, P < .001) were negatively correlated with the caregivers’ quality of life. The result of the hierarchical multiple regression analysis identified 3 significant factors related to the family caregivers’ quality of life: caregiver’s age (β = −0.257, P = .012), caregiver burden (β = −0.408, P = .002) and caregiver depressive symptoms (β = −0.298, P = .018), with overall explanatory power of 47.5%. It is necessary to develop practical strategies to improve family caregivers’ quality of life by alleviating their burden and depressive symptoms. Healthcare providers should be engaged with not only heart failure patients but also their family caregivers during the disease management process to improve patients’ outcomes.

[This corrects the article DOI: 10.2196/26145.].

Background: An increase in the number of older adults has highlighted the important issue of the safety of residents in nursing homes. This review aimed to review previous studies on patient safety of older adults living in nursing homes, analyze the tools used to measure it, and identify factors affecting patient safety of older adult residents in nursing homes. Methods: A literature search was conducted using EMBASE, PubMed, CINHAL, and COCHRANE. The main search terms were “nursing home” or “skilled nursing facility” or “long-term care facility” and “patient safety.” In total, 13,586 articles were identified. Two authors independently assessed the quality of each selected study using the Crowe Critical Appraisal Tool. Results: Twenty-five studies were included in the analysis. There were a total of seven tools used to measure patient safety in nursing homes: the Nursing Home Survey on Patient Safety Culture (10 studies) and Hospital Survey on Patient Safety Culture (nine studies). Furthermore, the Nursing Home Survey on Patient Safety Culture-China, Safety Attitudes Questionnaire, Safety Attitudes Questionnaire in a Skilled Nursing Facility, Safety Attitudes Questionnaire-Ambulatory Version, and Modified Stanford Patient Safety Culture Survey Instrument were used in one study each. The most used tool among them was the Nursing Home Survey on Patient Safety Culture. Most tools used to measure patient safety in nursing homes were related to patient safety culture and employee attitudes. Conclusion: Organizational factors, such as the staff education system and the composition of appropriate personnel, should be strengthened to establish a patient safety culture in nursing homes, for which policy support is crucial.

Aim: The purpose of this study was to summarise the current state of the science on diabetes mellitus education programs for nursing students.Design: A systematic review and meta‐analysis.Methods: Eligible studies were identified by searching PubMed, EMBASE, CINAHL, and Cochrane Library databases. Randomised controlled trials and quasi‐experimental studies, published in English between 2013 and 2022, that examined diabetes education programs for nursing students were considered in the review. The quality of the articles was evaluated using the Joanna Briggs Institute's Critical Appraisal Checklist. Key information such as authors, study focus, population, sample size, details of intervention and control group treatments, outcome variables, and main findings were extracted and summarised in a data extraction form for further analyses and syntheses.Results: The literature search identified 464 articles, from which 13 studies were evaluated in the systematic review. Most studies (n = 12, 92.3%) used technology‐based teaching methods, such as high‐fidelity simulations, mobile applications, and virtual reality simulations. Regarding the evaluation of diabetes education program effectiveness, the majority of studies showed significant improvements in knowledge (n = 8, 61.5%), followed by satisfaction with learning (n = 4, 30.8%), nursing skill performance (n = 3, 23.1%), and self‐confidence (n = 3, 23.1%) in nursing students. In meta‐analyses, technology‐based teaching interventions, compared to traditional education, showed no statistically significant improvement in diabetes knowledge (standard mean difference 9.52, 95% CI [−0.18, 19.21], p = 0.05) and self‐efficacy (standard mean difference 24.09, 95% CI [−10.75, 58.92], p = 0.18). Despite this, technology‐based methods demonstrated favourable effects on knowledge and self‐efficacy against traditional education. Findings highlight the importance of emerging technology‐based diabetes education programs tailored for nursing students, crucial for enhancing positive educational outcomes.No Patient or Public Contribution.

Background: Liver transplantation has become increasingly common as a last-resort treatment for end-stage liver diseases and liver cancer, with continually improving success rates and long-term survival rates. Nevertheless, liver transplant recipients face lifelong challenges in self-management, including immunosuppressant therapy, lifestyle adjustments, and navigating complex health care systems. eHealth technologies hold the potential to aid and optimize self-management outcomes, but their adoption has been slow in this population due to the complexity of post–liver transplant management. Objective: This study aims to examine the use of eHealth technologies in supporting self-management for liver transplant recipients and identify their benefits and challenges to suggest areas for further research. Methods: Following the Arksey and O’Malley methodology for scoping reviews, we conducted a systematic search of 5 electronic databases: PubMed, CINAHL, Embase, PsycINFO, and Web of Science. We included studies that (1) examined or implemented eHealth-based self-management, (2) included liver transplant recipients aged ≥18 years, and (3) were published in a peer-reviewed journal. We excluded studies that (1) were case reports, conference abstracts, editorials, or letters; (2) did not focus on the posttransplantation phase; (3) did not focus on self-management; and (4) did not incorporate the concept of eHealth or used technology solely for data collection. The quality of the selected eHealth interventions was evaluated using (1) the Template for Intervention Description and Replication guidelines and checklist and (2) the 5 core self-management skills identified by Lorig and Holman. Results: Of 1461 articles, 15 (1.03%) studies were included in the final analysis. Our findings indicate that eHealth-based self-management strategies for adult liver transplant recipients primarily address lifestyle management, medication adherence, and remote monitoring, highlighting a notable gap in alcohol relapse interventions. The studies used diverse technologies, including mobile apps, videoconferencing, and telehealth platforms, but showed limited integration of decision-making or resource use skills essential for comprehensive self-management. The reviewed studies highlighted the potential of eHealth in enhancing individualized health care, but only a few included collaborative features such as 2-way communication or tailored goal setting. While adherence and feasibility were generally high in many interventions, their effectiveness varied due to diverse methodologies and outcome measures. Conclusions: This scoping review maps the current literature on eHealth-based self-management support for liver transplant recipients, assessing its potential and challenges. Future studies should focus on developing predictive models and personalized eHealth interventions rooted in patient-generated data, incorporating digital human-to-human interactions to effectively address the complex needs of liver transplant recipients. This review emphasizes the need for future eHealth self-management research to address the digital divide, especially with the aging liver transplant recipient population, and ensure more inclusive studies across diverse ethnicities and regions.