Background: Patient health literacy (HL) affects health and wellbeing on both individual and population levels. The ability to receive, understand, manage and act upon health information can be positively influenced by nurses' use of HL strategies. This study examined the relationship between nurses' use of a HL checklist (intervention) and before and after patient HL scores, and the effects of frequency and types of strategies used in specialty consultations in Spain.
Methods: This quasi-experimental, non-randomized study used the HLS-Q12 to calculate HL scores for 149 patients. Calculations were performed both before and after a nursing intervention that consisted of using a HL checklist. Paired samples t-test assessed the difference between patient HL scores pre- and post-nurse intervention. Frequency analysis and Pearson correlation where used to examine frequencies of nursing HL strategies used and associations with HL scores.
Results: The mean difference between the HLS-Q12 scores before and after intervention was - 9.94, with a standard deviation of 11.50. There was a statistically significant effect of the intervention on HL score (t = -10.00, p < 0.001). No participant had HL classified as 'inadequate' after the nursing intervention. Verbal teach back method was the most frequent strategy used by nurses, and the use of a computer image was the most frequent visual aid.
Conclusions: The use of a standardized HL intervention by nurses was shown to have a positive effect on patient general HL scores in specialty consultations in Spain. These results not only suggest that the use of a HL checklist can be an effective HL tool, but also reinforce the potential of nurses to make a positive impact on both individual and population health. Overall, these findings provide data that can be used by health systems, hospitals management, and nurse education programs to adopt strategies to improve patient HL and health outcomes, while potentially lowering costs and ineffective resource utilization related to inadequate HL.
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http://dx.doi.org/10.1186/s12912-024-02447-1 | DOI Listing |
BMC Nurs
January 2025
Ege University, Medicine Faculty, Emergency Medicine Department, Izmir, Turkey.
Background: Disaster nursing involves systematic and professional care provided to communities affected by natural or man-made disasters. With limited resources in global disaster settings, nurses play a crucial role in disaster management. The aim of this study is to investigate the impact of integrating 'Disaster Nursing' into nursing curricula on nursing students' perceptions of disaster literacy and preparedness.
View Article and Find Full Text PDFBMC Med Educ
January 2025
School of Nursing, Xiangnan University, 889 Chenzhou Avenue, Suxian District, Chenzhou, 423000, Hunan, People's Republic of China.
Background: In the backdrop of the ongoing global digital revolution in education, the digital literacy of teachers stands out as a pivotal determinant within the educational milieu. This study aims to explore the current status and associated factors of digital literacy among academic nurse educators.
Methods: A cross-sectional design study utilizing an online questionnaire platform (Wenjuanxing) to collect data from August to October 2023.
BMJ Open
January 2025
Deep Digital Phenotyping Research Unit, Department of Precision Health, Luxembourg Institute of Health, Strassen, Luxembourg
Objectives: Diabetes distress can negatively affect the well-being of individuals with type 1 diabetes (T1D). Voice-based (VB) technology can be used to develop inexpensive and ecological tools for managing diabetes distress. This study explored the competencies to engage with digital health services, needs and preferences of individuals with T1D or caring for a child with this condition regarding VB technology to inform the tailoring of a co-designed tool for supporting diabetes distress management.
View Article and Find Full Text PDFJMIR Ment Health
December 2024
Department of Psychiatry, Northwell Health, Zucker Hillside Hospital, Glen Oaks, NY, United States.
Background: Digital health technologies are increasingly being integrated into mental health care. However, the adoption of these technologies can be influenced by patients' digital literacy and attitudes, which may vary based on sociodemographic factors. This variability necessitates a better understanding of patient digital literacy and attitudes to prevent a digital divide, which can worsen existing health care disparities.
View Article and Find Full Text PDFJMIR Form Res
December 2024
Pharmacy Department, Gold Coast Hospital and Health Service, Southport, Australia.
Background: Artificial intelligence (AI) has the potential to address growing logistical and economic pressures on the health care system by reducing risk, increasing productivity, and improving patient safety; however, implementing digital health technologies can be disruptive. Workforce perception is a powerful indicator of technology use and acceptance, however, there is little research available on the perceptions of allied health professionals (AHPs) toward AI in health care.
Objective: This study aimed to explore AHP perceptions of AI and the opportunities and challenges for its use in health care delivery.
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