Background: Nurses have a crucial role in managing, educating, and caring for diabetic patients. However, their knowledge should be regularly assessed to avoid preventable complications and reduce costs. Therefore, the present study assessed the perceived and actual knowledge about diabetes among nurses in Hail province of Saudi Arabia and investigated predictors of such knowledge.
Methods: A cross-sectional study was conducted among 325 conveniently sampled nurses from all public hospitals and primary healthcare centres in Hail province from September to December 2022. A pre-designed questionnaire was used to collect demographic and practice-related characteristics of the nurses. In addition, data on nurses' perceived and actual knowledge about diabetes were collected using the Diabetes Self-Report Tool (DSRT) and Diabetes Basic Knowledge Tool (DBKT) self-report questionnaires, respectively. The mean knowledge scores for demographic and practice-related variables were compared using the independent-samples t-test and one-way analysis of variance. Multiple linear regression was used to identify significant predictors of perceived and actual knowledge. The correlation between perceived and actual knowledge was investigated using Pearson's correlation coefficient. A P-value ˂0.05 was considered statistically significant.
Results: Based on a highest maximum score of 60 using the DSRT, the mean score of perceived knowledge was 38.4 ± 12.0, corresponding to a percentage mean score of 64%. On the other hand, based on a highest maximum score of 49 using the DBKT, the mean score of actual knowledge was 23.2 ± 9.6, corresponding to a percentage mean score of 47.3% of correct responses. Being Indian, having a diploma or a bachelor's degree, and having a poor or fair self-perception of competence in diabetes care were predictors of lower perceived knowledge scores, whereas having no access to diabetes guidelines was a predictor of higher scores. However, being non-Saudi and having experience of at least 16 years were predictors of higher actual knowledge scores. The correlation between actual and perceived knowledge about diabetes was negligible and statistically non-significant (r = 0.011, P = 0.055).
Conclusion: Nurses affiliated with public health facilities in Hail province lack adequate knowledge about diabetes, with no correlation between what is perceived to be known and what is actually known. Indian citizenship, having a diploma or bachelor's degree, not having access to diabetes guidelines, not attending courses/workshops, and having a poor or fair self-perception of competence in diabetes care can significantly predict nurses' perceived knowledge. However, being non-Saudi (Filipino or Indian) and having at least 16 years of experience can significantly predict their actual knowledge of diabetes.
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http://dx.doi.org/10.1186/s12912-023-01504-5 | DOI Listing |
Front Public Health
January 2025
Biosecurity, Los Alamos National Laboratory, Los Alamos, NM, United States.
Research typically promotes two types of outcomes (inventions and discoveries), which induce a virtuous cycle: something suspected or desired (not previously demonstrated) may become known or feasible once a new tool or procedure is invented and, later, the use of this invention may discover new knowledge. Research also promotes the opposite sequence-from new knowledge to new inventions. This bidirectional process is observed in geo-referenced epidemiology-a field that relates to but may also differ from spatial epidemiology.
View Article and Find Full Text PDFAppetite
January 2025
Food Quality and Design Group, Department of Agrotechnology and Food Sciences, Wageningen University & Research, P.O. Box 17, Bornse Weilanden 9, 6708 WG, Wageningen, the Netherlands.
It is widely accepted that the (over)consumption of meat is negatively linked to environmental problems and public health issues, yet research shows that actual meat consumption remains (too) high. While most research related to the protein transition focuses on consumers' motivations, perceptions and acceptance towards plant-based meat alternatives, a clear need arises to extensively study the context in which (plant-based) meals are consumed. In this research, a generative research approach was applied to extend knowledge on flexitarian households' meat reduction practices.
View Article and Find Full Text PDFPsychotherapy (Chic)
January 2025
Department of Counseling, School, and Educational Psychology, University of Buffalo.
Between the racial reckoning of 2020 and wider spread policy development that is explicitly homophobic and transphobic, there have been consistent and resurgent calls for clinicians to address aspects of power and privilege in psychotherapy. This is especially important in a field that continues to be largely White, cisgender, and heterosexual (not to mention abled, socioeconomically privileged, and privileged in many other aspects of human diversity). However, too few models for how to accomplish this in actual practice are offered in the literature.
View Article and Find Full Text PDFBMC Oral Health
January 2025
Sub-Institute of Public Safety Standardization, China National Institute of Standardization, No.4 Zhichun Road, Haidian District, Beijing, 100191, PR China.
Background: This study aimed to establish a model for predicting the difficulty of mandibular third molar extraction based on a Bayesian network to meet following requirements: (1) analyse the interaction of the primary risk factors; (2) output quantitative difficulty-evaluation results based on the patient's personal situation; and (3) identify key surgical points and propose surgical protocols to decrease complications.
Methods: Relevant articles were searched to identify risk factors. Clinical knowledge and experience were used to analyse the risk factors to establish the Bayesian network.
Pharmacoeconomics
January 2025
Belgian Health Care Knowledge Centre, Brussels, Belgium.
Background: Forecasting future public pharmaceutical expenditure is a challenge for healthcare payers, particularly owing to the unpredictability of new market introductions and their economic impact. No best-practice forecasting methods have been established so far. The literature distinguishes between the top-down approach, based on historical trends, and the bottom-up approach, using a combination of historical and horizon scanning data.
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