Current Issue : January-March Volume : 2024 Issue Number : 1 Articles : 5 Articles
Background: Improvement of patient care in any hospital depends primarily on the quality of nursing care. Nursing care is enhanced by the nursing process, which outlines the nursing activities to be provided for a patient. Methods and Materials: A cross sectional design employing quantitative methods was conducted in Njombe RRH in December 2021. Quantitative data were collected from nurses and midwives from all wards by simple random sampling techniques using a sample-size calculator. SPSS version 26.0 was used to analyse data whereby a p-value of 0.05 was considered a decision mark for the significance of the result; Chi-square and Logistic regression respectively were used to find out the association and its strength between variables. Result: Majority of the respondents, 41 (85.4%), had inadequate knowledge and 33 (68.8%) found them people with a negative attitude to the nursing process. Significantly, there is an association between knowledge and clinical utilization (AOR 2.24; 95% CI: 1.6 - 2.5; P 0.04), attitude and clinical utilization (AOR 4.32; 95% CI: 1.8 - 3.7; P < 0.001). Conclusion: A knowledge gap in relation to the utilization of the nursing process and a negative attitude were noted to be associated significantly with the utilization of the nursing process among nurses and midwives. It is recommended on-job training, supportive supervision, and Value Clarification and Attitude Transformation (VCAT) are the best interventions to address the knowledge gap and negative attitudes respectively....
Background Chronic ultimorbidity is the most frequent and serious health problem in older adults. Home visiting programmes could be a strategy with potential benefits. However, there are no scoping reviews to date that examine the effects of home visiting programmes on community-dwelling older adults with chronic multimorbidity. Objective To examine the effects of home visiting programmes on community-dwelling older adults with chronic multimorbidity. Methods A scoping review was carried out following PRISMA-ScR reporting guidelines. The search was conducted in six databases (PubMed/Medline, Cochrane, CINAHL, Web of Science, Scopus and EMBASE) between October 2021 and April 2022. Results Four RCTs with 560 patients were included. The visits were carried out by nurses, nursing students, volunteers, and other healthcare professionals. The interventions varied in the number of visits, frequency, duration of follow- up, and whether or not they were combined with other strategies such as telephone calls. Discrepancies were found in the effects of the interventions on quality of life, self-efficacy, self-rated health, and use and cost of health and social services. Conclusion This review shows that home visiting programmes could have potential benefits for older adults with chronic multimorbidity. However, its results have been inconclusive. There is a need for high quality studies involving a larger number of patients, in which home visits are the main intervention....
Background Healthy literacy is a determinant key children/teenager’s health and health outcomes. The aim of this study to identify the parents’ assessment about Health Education practice to children and teenagers. Methods We opted for a descriptive, quantitative and cross-sectional research, with a non-probabilistic convenience sample. The inclusion criteria were: being a parent who uses attending children health appointments in primary health care; being a parent who has a child hospitalized and is accompanying him/her in the pediatric hospital inpatient ward. A questionnaire survey was built with three sections: sample characterization, Health Education practices performed by nurses (5 questions) and a scale that measured Health Education Assessment Scale (HEAS), which contained 48 items and was validated. It was applied from September to December 2018. Results The survey was filled in by 113 parents. The results showed that 100% (n = 113) of the parents feel comfortable to talk with nurses about children/teenagers health; 79.6% (n = 90) consider that nurses have time availability for the doubts clarification; 61.9% (n = 70) point out that nurses identify child/teenager needs; Healthy eating” (60.2%; n = 68), the “National Vaccination Plan” (53.1%; n = 60) and “Harmful behaviors prevention” (46.9%; n = 53) are the most important topics; 56.6% (n = 64) of the parents, when in doubt, turn first to the pediatrician, and 66.4% (n = 75) considered that this practice was equal important, compared with other nursing interventions. Discussion This study shows that Health Education provided by nurses is based on the need’s identification, with a perspective of involvement and participation, promoting health and conscious changes which reinforces the nurses’ position as health educators....
Background Occupational health is essential for nurses in clinical nursing practice. However, there is no specific tool for measuring the health behaviour of clinical nurses in China. This study aimed to translate the Positive Health Behaviours Scale into Chinese and validate its psychometric properties among clinical nurses. Design A cross-sectional design with repeated measures. Methods A total of 633 clinical nurses were recruited by convenience sampling from hospitals in Liaoning Province, China. After obtaining the authorization of the original author, the PHBS was translated into Chinese by the Brislin back-translation method. Item analysis was completed to evaluate item discrimination, and the Delphi method was adopted to analyse content validity. Exploratory factor analysis and confirmatory factor analysis were conducted to explore and validate the underlying factor structure. Internal consistency and test-retest reliability were calculated to evaluate reliability. Results A total of 29 items were retained in the item analysis, and the content validity index of the translated scale was 0.956. In the EFA, four common factors were extracted (nutrition, physical activity, relaxation and behaviours related to mental health and preventive behaviours), explaining 60.81% of the total variance. The results of the CFA were as follows: χ2/df = 1.363, GFI = 0.902, NFI = 0.909, IFI = 0.974, TLI = 0.971, CFI = 0.974, RMSEA = 0.034, and RMR = 0.023. The results of the EFA and CFA showed that the translated scale had good structural validity. Cronbach’s α coefficient, the split-half reliability and the test-retest reliability of the Chinese version of the PHBS were 0.928, 0.953 and 0.891, respectively. At the same time, the translated scale had good reliability. Conclusions The Chinese version of the PHBS for clinical nurses had good psychometric properties. The results of the questionnaire survey effectively and comprehensively reflect the level of health behaviours in clinical nurses, which provides a scientific reference for determining the intervention target....
Background Sleep disturbance occur among nurses at a high incidence. Aim To develop a Nomogram and a Artificial Neural Network (ANN) model to predict sleep disturbance in clinical nurses. Methods A total of 434 clinical nurses participated in the questionnaire, a cross-sectional study conducted from August 2021 to June 2022.They were randomly distributed in a 7:3 ratio between training and validation cohorts. Nomogram and ANN model were developed using predictors of sleep disturbance identified by univariate and multivariate analyses in the training cohort; The 1000 bootstrap resampling and receiver operating characteristic curve (ROC) were used to evaluate the predictive accuracy in the training and validation cohorts. Results Sleep disturbance was found in 180 of 304 nurses(59.2%) in the training cohort and 80 of 130 nurses (61.5%) in the validation cohort.Age, chronic diseases, anxiety, depression, burnout, and fatigue were identified as risk factors for sleep disturbance. The calibration curves of the two models are well-fitted. The sensitivity and specificity (95% CI) of the models were calculated, resulting in sensitivity of 83.9%(77.5–88.8%)and 88.8% (79.2–94.4%) and specificity of83.1% (75.0–89.0%) and 74.0% (59.4–84.9%) for the training and validation cohorts, respectively. Conclusions The sleep disturbance risk prediction models constructed in this study have good consistency and prediction efficiency, and can effectively predict the occurrence of sleep disturbance in clinical nurses....
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