Purpose The aim of this study was to identify the effects of stigma, social support, and resilience on post-traumatic growth in patients with stroke and to provide foundational data for developing nursing interventions that can effectively promote post-traumatic growth in this population.
Methods This cross-sectional study employed a questionnaire-based survey. The participants were 150 patients who attended the neurology outpatient clinic three months after a stroke diagnosis. Data were collected between February and April 2024 using a structured self-report questionnaire. Analyses included descriptive statistics, reliability analysis, inferential statistics(independent t-test, one-way ANOVA, and Scheffé's test), and hierarchical multiple regression using SPSS/WIN 27.0.
Results The mean post-traumatic growth score was 2.52±1.05 out of 5. Significant factors affecting post-traumatic growth were age, education, religion, the presence of a housemate, income, time since stroke onset, stroke type, and stroke recurrence. Post-traumatic growth was positively correlated with social support (r=.44, p<.001) and resilience (r=.53, p<.001), but not significantly correlated with stigma. Regression analysis identified resilience (β=.37, p<.001), religion (β=.29, p<.001), and stroke type (β=.23, p=.033) as significant predictors, explaining 44.2% of the variance in post-traumatic growth (F=9.45, p<.001).
Conclusion Developing and implementing nursing interventions to increase resilience may be crucial for promoting post-traumatic growth in patients with stroke. Further research is needed to design and evaluate these interventions.
Purpose According to the Ministry of Health and Welfare, the turnover rate of nurses working at regional trauma centers is 27.6%, which is almost double the turnover rate of 13.8% of all nurses in 2018. The turnover of nurses lowers the morale of the remaining nurses and increases their workload, negatively affecting hospital operation.
This study aimed to investigate the mediation effect of grit on the relationship between the working environment and intention to stay at work among regional trauma center nurses, to reduce the turnover rate and improve their intention to stay at work. Methods The participants were 185 nurses with more than six months of clinical experience working at 16 regional trauma centers in South Korea. The data were collected using structured questionnaires from July 1, 2022 to July 31, 2022, and analysis was conducted using SPSS/WIN 25.0 programs. Results The intention to stay at work among regional trauma center nurses was different depending on age (F=6.32, p=.002), marital status (F=-3.66, p<.001), education level (F=5.29, p=.006), and total clinical experience (F=4.22, p=.007).
Grit was found to have a complete mediating effect on the relationship between work environment and intention to stay at work (Z=4.49, p<.001). Conclusion To lower the turnover rate of trauma nurses and increase their intention to stay at work, it is necessary to subdivide the intervention program for various ages and clinical career, and to develop a mediation program that can improve nurses' grit by improving the working environment.
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Purpose This study aimed to identify the relationship among post-traumatic stress disorder (PTSD), resilience, and retention intention in nurses who had experienced a traumatic event during hospital work.
Methods A structured questionnaire, was administered online from September 10 to September 22, 2021 to 198 nurses who had experienced a traumatic event during work at a university hospital in G metropolitan city. Data were analyzed using three-step mediated regression analysis.
Results Of the total participants, 70.7% had a high risk of PTSD. PTSD (β=-.20, p=.002) and resilience (β=.47, p<.001) had a direct effect on retention intention, and the explanatory power was 27.0%. However, the mediating effect of resilience on the relationship between PTSD and retention intention was not supported, which indicates that the relationship between post-traumatic stress and resilience was not significant (β=-.09, p=.232).
Conclusion Although there was no mediating effect of resilience, PTSD and resilience are considered to be important in order to improve nurses’ retention intention. It is needed to develop strategies to prevent the occurrence of traumatic events and to formulate policies and conduct programs for stress symptom management, aimed at increasing nurses’ resilience.
Purpose This study aimed to construct and test a hypothetical model which explains the psychosocial adjustment of breast cancer survivors using the family resilience model suggested by McCubbin and McCubbin. Methods The study participants were 242 breast cancer survivors who had finished active treatments within the past five years. Data were collected from September to October 2017 from an offline breast cancer self-help group survey and an online breast cancer support group. Data were analyzed using SPSS version 22.0 and AMOS version 23.0. Results The model fit indices for the modified hypothetical model were suitable for the recommended level: x2 =223.80 (df=88, p<.001), x2 /df=2.54, RMR=.04, GFI=.90, IFI=.93, CFI=.93, and RMSEA=.08. Symptoms and posttraumatic growth directly affected psychosocial adjustment. Symptoms were found to be the most influential factors in the psychosocial adjustment. All three family resilience factors-family hardiness, problem-solving communication, and problem-solving coping-directly affected posttraumatic growth and indirectly affected psychosocial adjustment through posttraumatic growth. These variables explained 81.2% of breast cancer survivors’ psychosocial adjustment. Conclusion Health care professionals need to continue to provide interventions for symptom relief and support to improve the psychosocial adjustment of breast cancer survivors. Additionally, practical nursing interventions should be prepared for individuals and families of breast cancer survivors to promote recovery and reinforce family resilience. This will ultimately improve the quality of life for breast cancer survivors and their families.
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Purpose This descriptive study aimed to present the incidence of delirium and identify risk factors for delirium in Trauma Intensive Care Unit (TICU) patients.
Methods: The participants were 184 patients who were hospitalized in the TICU at a Regional Trauma Center in Gyeonggi-do. Data were collected between April and November 2019. For delirium measurement, the author used the Confusion Assessment Method for the Intensive Care Unit (CAM-ICU). Diverse dependent variables were collected through electronic medical records. Data were analyzed using descriptive statistics, independent t-test, x2 -test, and binomial logistic regression.
Results: Incidence of delirium in TICU patients was 34.8%. Logistic regression analysis showed that the risk factors for delirium in TICU patients were hemoglobin (Odds Ratio [OR]=0.62, 95% Confidence Interval [CI]=0.43~0.88), injury severity score (OR=1.10, 95% CI=1.01~1.20), length of TICU stay (OR=1.15, 95% CI=1.03~1.29), administered sedatives (OR=6.04, 95% CI=2.47~14.76), and use of restraints (OR=5.75, 95% CI=2.29~14.42).
Conclusion: Based on the results of this study, healthcare providers, especially TICU nurses, should try to detect the signs and symptoms of delirium as early as possible, taking into account the specified risk factors of the patient. Preventive and practical intervention programs considering the risk factors must also be developed to prevent and alleviate delirium in TICU patients in the future.
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PURPOSE This study explored the level of Post-Traumatic Growth (PTG) in stroke patients receiving rehabilitation treatment and identified the effects of hope, meaning in life, and social support on PTG. METHODS A sample of 165 participants was surveyed in a cross-sectional study. Data were collected from January 17, 2018 to April 9, 2018 using self-report structured questionnaires and analyzed using descriptive statistics and hierarchical regression analysis with SPSS/WIN 24.0 program. RESULTS The mean score for PTG in stroke patients was 2.82±1.14 (range 0~5). Living with family (t=−2.37, p=.019), having a religion (t=2.91 p=.004), higher income (F=8.94, p<.001), shorter period in stroke diagnosis (≤6 month) (F=3.88, p=.010), having no speech defect (t=−2.24, p=.026), and good functional status (F=3.99, p=.020) were associated with higher PTG. The higher levels of hope (r=.73, p<.001), higher meaning in life (r=.64, p<.001), and higher social support (r=.49, p<.001) were related to higher PTG. Hierarchical regression analysis showed that hope (β=.43, p<.001), meaning in life (β=.25, p=.001), and social support (β=.12, p=.044) were effective factors of PTG in stroke patients. These variables accounted for 42%p of the variance in PTG (F=20.52, p<.001). CONCLUSION The study provides insights into how hope, meaning in life, and social support promote PTG in stroke patients. To increase PTG in stroke patients receiving rehabilitation treatment, health care providers should consider developing intervention programs to help increase hope, meaning in life, and social support.
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PURPOSE This study was performed to identify the mediating effect of resilience in the relationship between post-traumatic stress disorder (PTSD) and quality of life (QoL) among patients with ostomy. METHODS A crosssectional survey design was used. A convenience sample of 150 patients with ostomy was recruited from three hospitals located in Gwangju and Chonnam province in Korea. Data were collected by self-report questionnaires and included demographics as well as measures of PTSD, resilience, and QoL. Data were analyzed with descriptive statistics, Pearson correlation coefficients, independent t-test, One-way ANOVA, and linear regression using the SPSS 24.0 program. RESULTS There were significant negative relationships between PTSD and QoL (r=−.30, p < .001) and between PTSD and resilience (r=−.57, p < .001). Resilience showed a partial mediating effect (β=.39, p < .001) between PTSD and QoL (Z=−3.12, p < .001). CONCLUSION This study findings suggest the importance of reducing PTSD scores and improving resilience among persons with ostomy which will possibly increase their QoL. Nursing interventions including counseling or education to improve psychological resilience might help better manage PTSD among patients with ostomy.
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PURPOSE The objective of this study was to identify and evaluate the measures used for assessment of posttraumatic growth (PTG) for women survivors with breast cancer and to evaluate the psychometric properties of each instrument. METHODS A systematic review was conducted to identify measurement instruments used for assessment of PTG using electronic databases such as KoreaMed, DBpia, PubMed, Embase, PsycINFO, CINAHL, and Cochrane Library. Studied published both in Korean and/or English were included for the analysis. Studies were examined by two independent reviewers and eighty-nine studies met the inclusion criteria. The selection of the eighty-nine studies was evaluated on methodological and psychometric properties including validity and reliability of the instruments. RESULTS Three instruments were identified in the review of the eighty-nine studies. The three instruments were identified as 1) Posttraumatic Growth Inventory (PTGI), 2) Benefit Finding Scale, and 3) Positive Meaning Scale. The PTGI was the most frequently reported instrument used in the review. The majority of the reported studies were used translation and back-translation, but some of the studies did not report translation methods. Most studies (71.9%) reported reliability, but only 29.2% studies reported validity of the instruments used in the study. CONCLUSION This study was conducted to provide an evidence for selection and development of measurement instruments of PTG for breast cancer survivors.
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PURPOSE The purpose of this study is to examine predictors of anxiety and PTSD in battered women. METHOD The data were collected from 555 women who were stratified samples according to 15,000:1 from a target population in Korea from November 18, 2004 to February 18, 2005. The data was analysed using the SPSS program. RESULTS Predictors of anxiety were self esteem, stress, state anger, social support, trait anger, negotiation, and psychological violence. These variables explained 55.8% of anxiety. Predictors of PTSD were self esteem, state anger, trait anger, psychological violence, stress, and anger-in. These variables explained 43.2% of PTSD. CONCLUSION It is considered that the importance of separating the effects of the different types of violence when taking into account its effects on women's mental health. To promote women's mental health, it is needed to develop self esteem improvement programs, and anger and stress management programs.
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