Purpose This study aimed to identify factors influencing performance of pain assessment and pain intervention for dementia patients among long-term care hospital nurses. Methods In this descriptive study, participants were 106 nurses working in seven long-term care hospitals. Data were collected from August 13 to August 30, 2019. Nurses’ performance of pain assessment and pain intervention, attitude toward dementia, empathy, and knowledge about dementia-related pain were measured through self-reported questionnaires. Results The factors influencing performance of pain assessment were a total clinical career of 5 to 9 years (β=.29, p=.013) and a total clinical career of more than 15 years (β=.31, p=.013), which together explained 15.9% of the variance in the model. The factor influencing performance of pain intervention was attitude toward dementia (β=.31, p=.018), and explained 8.7% of the variance in the model. Empathy and knowledge about dementia-related pain were not found to be significant factors in either of the models. Conclusion The study findings suggest that a specialized education program for nurses with short clinical careers should be developed. Additionally, when designing the education program, it is recommended that varied content that can induce psychological and emotional attitude changes be included, as well as knowledge-oriented content. Finally, the more effective the pain assessment for dementia patients, the more appropriate the pain intervention and its performance will be. Thus, it is necessary to provide systematic training to enhance the pain assessment skills through a case study-based approach.
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PURPOSE The purpose of this secondary data analysis was to identify factors influencing a relapse among patients with coronary artery disease (CAD). METHODS Of 250 participants enrolled in the original study 75 were selected as there was no relapse for more than one year following the initial treatment and 54 were selected because there was a relapse. Data were analyzed using χ² test, t-test or F test to determine if there were any significant differences in the study variables relative to the status of relapse. Predictors were calculated by logistic regression. RESULTS Autonomy supported by healthcare providers was the significant predictor for relapse in patients with CAD. Patients with low autonomy supported by healthcare providers was 3.91 times more likely to relapse than patients with high autonomy supported. Patients with diabetes were at greater risk of recurrence. CONCLUSION Secondary prevention of CAD is a major task for patients with CAD. Behavioral strategies for cardiovascular risk reduction are essential and autonomy supported by healthcare providers should be included in their strategies.
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PURPOSE This study aimed at the effectiveness to investigate the performance of evidence-based pain assessment and management guidelines. METHODS Participants were 140 nurses at the med-surgical units. Data were collected in early July, 2014 using Registered Nurses Association of Ontario (RNAO) guideline (2007) revised and validated by Hong and Lee (2012) and analyzed by descriptive statistics, t-test, ANOVA using SPSS/WIN18.0. RESULTS The score of performance of pain assessment guideline was higher than the score of pain management. Categories with high score were pain screening, parameter of pain assessment, documentation, assessment of opioids side-effects, and record of pain caused intervention. Categories with low score were comprehensive pain assessment, multidisciplinary communication, establishing a plan for pain management, consultation and education for patients and their families, and education for nurse. Non-pharmacological management was the lowest one. CONCLUSION Assessing and managing pain is a complex phenomenon. It might be useful if institutions host training programs to ensure that nurse are better able to understand and implement pain assessment and management. Since non-pharmacological management is less likely to be used by nurses it may be helpful to include these methods in a training program.
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