Purpose This study involved a meta-synthesis of qualitative research concerning the experiences of women with infertility and infertility treatments. Based on an analysis of emotional changes and adaptation processes, it aimed to propose an interaction model encompassing expectation, loss, and resilience and clarify the conceptual meaning of each component.
Methods Thomas and Harden’s five-step qualitative meta-synthesis methodology was employed. A total of 22 studies published between 2014 and 2024 were comprehensively analyzed and synthesized. The findings were integrated into a model representing the experiences of women undergoing infertility and infertility treatments.
Results The meta-synthesis identified six key themes: changes in identity and inner growth; strengthening resilience through the roles of spouses, family, and peers; strategies for recovery and growth; support systems amidst economic and social burdens; life in the tension of waiting and hope; and the reconfiguration of couple and family relationships. Based on these themes, a dynamic interaction model, named the Model of Psychological Changes and Resilience (PCR Model), was developed to illustrate the interrelationships among expectation, loss, and resilience. The conceptual implications of these relationships were also explicated.
Conclusion The cyclical interplay between expectation and loss among women experiencing infertility is intensified by social ideologies and cultural contexts, while resilience is strengthened through overcoming distress and finding meaning in life. Further quantitative research is necessary to validate these relationships in clinical settings by obtaining empirical data that apply this model.
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 This study identified the mediating effect of resilience on the relationship between job stress and the professional quality of life of hospice and palliative care nurses. Methods The participants included 136 hospice and palliative care nurses from 13 inpatient hospice and palliative care wards at a tertiary hospital in a metropolitan city in South Korea. Data were collected from February 2022 to March 2022. Hayes' PROCESS macro 3.5 was used to test the significance of the parameter's indirect effects. Professional quality of life was divided into three subdomains: compassion satisfaction, secondary traumatic stress, and burnout. Results As a mediator, resilience had both direct and indirect effects on the relationship between job stress and the compassion satisfaction of hospice and palliative care nurses. Furthermore, there were both direct and indirect effects on the relationship between job stress and secondary traumatic stress. Finally, although there was no direct effect on the relationship between job stress and burnout, there was an indirect mediating effect. Conclusion This study confirmed the direct effect of compassion satisfaction on job stress and the professional quality of life of hospice and palliative care nurses, as well as the mediating effect of resilience on job stress and burnout. To improve the professional quality of life of hospice and palliative care nurses, it is necessary to develop and apply programs that enhance resilience in order to promote its mediating effects on compassion satisfaction and burnout.
Purpose The purpose of this study was to investigate the level of resilience in multiple myeloma patients and to identify the impact of symptom experience, cancer coping, and social support on resilience.
Methods: Data were collected from January 2022 to May 2022 using self-report structured questionnaires administered to 162 outpatients who were undergoing chemotherapy or follow-up care after multiple myeloma treatment. The measured variables included symptom experience, cancer coping, social support, and resilience. The collected data were analyzed using SPSS/WIN 25 for descriptive statistics, the independent t-test, one-way analysis of variance, the Scheffé test, Pearson correlation coefficients, and hierarchical regression analysis.
Results: The mean resilience score of the participants was 66 out of 100 points. The levels of resilience were significantly higher in patients who had a job, recognized the importance of religion, and had a good economic status. Significantly higher levels of resilience were also observed in patients with lower physical performance status, fewer symptom experiences, more positive cancer coping, and higher support from healthcare staff.
Conclusion: Monitoring the symptom experience and physical performance ability of patients with multiple myeloma is important for enhancing their resilience. Positive coping strategies need to be developed and additional support from nurses should be provided to strengthen the personal resilience of patients with multiple myeloma.
Purpose This study aims to confirm the influence of type D personality and health literacy on resilience of patients hospitalized for Cardiovascular Diseases (CVDs), and provide basic information for improving resilience as a post-discharge strategy to promote self-care among patients with chronic diseases.
Methods A questionnaire-based survey was carried out in this cross-sectional study. The subjects were 142 patients who were being treated at a tertiary general hospital for CVDs such as coronary artery disease, arrhythmia, and heart failure. Data were collected from July to October 2022 using a structured questionnaire, and then analyzed using the SPSS program version 26.0.
Results 75.3% of the study subjects (n=107) had type D personalities, and the average health literacy and resilience scores were 48.96±9.13 points and 68.27±13.02 points, respectively, indicating relatively low grades. Following a hierarchical regression analysis, low monthly income (β=-.62, p<.001), current smokers (β=-.23, p=.010), patients with type D personality (β=-.24, p=.001), and patients with low health literacy (β=.27, p<.001) were identified as significant predictors of resilience (Adjusted R2=.57, F=14.32, p<.001).
Conclusion In order to increase the resilience of patients hospitalized for CVD, it is necessary to identify and take into account smokers with low socioeconomic status, poor health literacy, and type D personality. We advise doing a follow-up study to ascertain if the resilience of patients hospitalized for CVD influences post-discharge self-care and clinical outcomes.
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 confirm the relationship between supportive care needs and resilience of female genital cancer patients, and to investigate the mediating effect of resilience in the relationship between supportive care needs and quality of life. Methods This study was conducted with 105 outpatients and inpatients who were receiving treatment for female genital cancer at K University Hospital in B City. Data were collected from July 22, 2021 to August 17, 2021 and analyzed by using the SPSS/WIN 23.0 program. The correlation between the patients’ supportive care needs, resilience, and quality of life was analyzed by Pearson's correlation coefficients, and SPSS Process Macro was used for the significance of parameter indirect effects. Results The quality of life of female genital cancer patients showed a significant negative correlation with supportive care needs (r=-.68, p<.001), and a significant positive correlation with resilience (r=.53, p<.001). Moreover, resilience partially mediated the relationship between supportive care needs and quality of life (95% CI -0.009~-0.032). Conclusion Based on the results of this study, improving the resilience of female genital cancer patients may act as an additional coping strategy to reduce supportive care needs and establish an enhanced quality of life.
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Purpose This study aimed to evaluate distress, family resilience, and Quality of Life (QoL) among family caregivers of cancer patients undergoing chemotherapy and explore whether family resilience moderates the association between distress and QoL. Methods This is a cross-sectional study. One hundred seventeen family caregivers of cancer patients undergoing chemotherapy were recruited through the oncology outpatient clinic and two oncology wards at a tertiary university hospital. The participants completed self-reported questionnaires, including the Hospital Anxiety and Depression Scale, Family Resilience Scale-Cancer, and Caregivers’ Quality of Life Index-Cancer. Descriptive statistics, independent t-tests, one-way Analysis of Variance (ANOVA), and hierarchical regression analysis were used for statistical analysis. Results The mean distress score was 15.31±6.91, the mean family resilience score was 112.71±14.11, and the mean QoL score was 71.19±18.90. After controlling for potential covariates, distress was found to be negatively associated with QoL (β=-.45, p<.001), whereas family resilience was positively associated with QoL (β=.49, p<.001), explaining 62.8% of the variance. However, family resilience did not moderate the association between distress and QoL in this study. Conclusion Distress and family resilience are crucial factors associated with QoL in the caregivers of cancer patients undergoing chemotherapy. This finding indicates that oncology nurses should develop interventions to relieve distress and enhance family resilience to improve family caregivers’ QoL. Further studies are required to confirm the moderating role of family resilience.
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Purpose This study was conducted so as to determine a hypothetical model concerning factors affecting breast cancer patients' resilience.
Methods: Data were collected via a self-administered questionnaire from 212 patients with breast cancer between July 25 and August 24, 2020. The data were analyzed using SPSS/WIN 20.0 and AMOS 21.0.
Results: The model supported 7 of the 11 presented hypotheses for all participants. Test results indicated that “hope”, “uncertainty”, and “symptom experience” all directly affected participants' resilience, and that “uncertainty” also affected participants', “depression” and “hope”. “Spiritual well-being” affected participants' sense of “hope” and “symptom experience”. Of these variables, “hope” had the strongest direct influence on resilience across all participants. “Uncertainty” was found to directly and indirectly affect participants, whereas “spiritual well-being” indirectly affected the resilience of all participants. “Uncertainty” and “spiritual well-being” indirectly affected the resilience of all participants.
Conclusion: These results suggest that management strategies to enhance breast cancer patients' resilience should address patients' uncertainty, spiritual well-being, hope, and symptom experience.
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Purpose The purpose of this study was to investigate family support and medical staff support and their mediating effects in the relationship between self-efficacy and resilience in patients with colorectal cancer with stoma.
Methods: The participants were 170 patients with colorectal cancer who were hospitalized or receiving treatment for colorectal anus surgery in general hospitals located in B, D, and I cities. Data were collected from July 1 to October 25, 2019 through a structured questionnaire. Data analysis was conducted using descriptive statistics, Pearson's correlation coefficient, multiple linear regression analysis, and the bootstrapping method with SPSS/WIN 25.0 and the PROCESS macro program.
Results: The mean score for resilience was 2.70±0.62 (range 0~4). Resilience was significantly associated with self-efficacy (r=.59, p<.001), family support (r=.38, p<.001), and medical staff support (r=.37, p<.001). Using Baron and Kenny's approach and PROCESS macro model 4, resilience was found to be affected by self-efficacy (β=.53, p<.001). Further, family support (β=.25, p<.001) and medical staff support (β=.39, p<.001) were affected by self-efficacy. The partial mediating effects of family support (β=.25, p<.001, 95% confidence interval 0.01~0.12) and medical staff support(β=.15, p=.022, 95% confidence interval 0.01~0.16) in the impact of self-efficacy on resilience were confirmed.
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Purpose This study was conducted to determine a hypothetical model for the factors affecting uterine cancer patients’ health-related quality of life. Methods Data were collected from 409 patients with cervical cancer or endometrial cancer, between March 16 and May 15, 2015, using a self-administered questionnaire . The data were analyzed using SPSS v18 and AMOS v21. Results The model supported 14 of the 19 hypotheses for all participants. The results indicated that resilience, marital intimacy, social support, and perceived health status directly affected participants’ quality of life, while sexual function indirectly affected participants’ quality of life. Of these variables, perceived health status had the strongest direct effect on participants’ quality of life. Social support and sexual function were found to directly affect perceived health status. Somatic symptoms were found to directly affect sexual function, and resilience and marital intimacy in turn were found to directly affect somatic symptoms. Conclusion These results suggest that management strategies to enhance uterine cancer patients’ quality of life should address patients’ perceived health status, social support, sexual function, and marital intimacy.
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PURPOSE The purposes of this study were to examine the relationships between resilience, depression, and self-care competence and identify factors associated with self-care competence in patients with type 1 and type 2 diabetes mellitus. METHODS This study was a descriptive research. Structured questionnaire on patients' sociodemographic and clinical characteristics, resilience, depression, and self-care competence was used for survey with a convenience sample of 152 patients with diabetes mellitus. Data were collected from July to December 2016. Data were analyzed using descriptive statistics, independent t-test, one way ANOVA, Pearson's correlation coefficient, and multiple regression with SPSS/WIN 21.0 program. RESULTS The mean scores on resilience, depression, and self-care competence were 2.86±0.42, 18.11±10.05, and 4.27±0.78, respectively. Self-care competence showed a statistically significant positive correlation with resilience (r=.47, p < .001), and negative correlation with depression (r=−.29, p < .001). Resilience showed a negative correlation with depression (r=−.53, p < .001). Resilience (β=.38, p < .001) was significantly associated with factors of self-care competence in patients with diabetes mellitus. CONCLUSION The results of the study indicate that factor influencing self-care competence was resilience in patients with diabetes mellitus. Therefore, nursing intervention programs for increasing the self-care competence should include regular assessments and strategies for improving resilience in patients with diabetes mellitus. It is recommended that the studies should be performed to confirm the relationship between resilience and self-care competence by using resilience instrument developed for adults.
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PURPOSE The purpose of this study was to identify the factors influencing resilience of patients with stroke. METHODS A cross-sectional descriptive research design was used. The subjects of this study were 136 hospitalized patients with stroke in Dankook university hospital in Cheonan, Korea. Data were collected from August 2016 to March 2017 using a structured questionnaire including patient's characteristics, depression, uncertainty, social support, self-efficacy, and resilience. Data were analyzed using the SPSS/WIN 21.0 program for descriptive statistics, using independent t-test, one way analysis of variance, Pearson's correlation coefficient, and multiple regression. RESULTS Resilience had a statistically significant relationship with education (t=−2.17, p=.032), duration of diagnosis (F=4.09, p=.019), and mobility (F=4.44, p=.014). Further, depression (r=−.30, p < .001), self-efficacy (r=.44, p < .001), and social support (r=.37, p < .001) were significantly correlated with resilience. In the multiple regression analysis, self-efficacy and social support were statistically significant factors that explained 30.3% of variance of resilience in hospitalized patients with stroke. Depression and uncertainty were not found to be significant. CONCLUSION The results of the study indicate that factors influencing resilience are self-efficacy and social support. Therefore, nursing intervention programs for increasing the resilience should include strategies for improving self-efficacy and social support for hospitalized patients with stroke.
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PURPOSE The purpose of this study was to determine the relationships among health locus of control, resilience, social support, and health promoting behavior in patients with coronary artery diseases. METHODS This study utilized a descriptive correlational design using a survey method. The subjects were 165 coronary artery disease patients at the cardiology out-patient clinic of the C university hospital. Data were collected through Health Locus of Control Scale, Resilience Scale, ENRICHD Social Support Instrument, Health Promoting Lifestyle Profile scale. Data were analyzed using descriptive statistics, t-test, ANOVA, Pearson's correlation coefficient and hierarchial regression. RESULTS There were significant positive bivariate correlations of health promoting behavior with internal health locus of control, doctors health locus of control, resilience and social support respectively, and correlation between resilience and social support. Among predictors, internal health locus of control (beta=.28), social support (beta=.28) and resilience (beta=.25) had statistically significant influences on health promoting behavior. CONCLUSION These results proposed that internal health locus of control, social support and resilience have important influences on health promoting behavior. Nursing interventions to enhance internal health locus of control, resilience and social support might be essential for patients with coronary artery disease in order to promote their health behaviors.
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PURPOSE The purpose of this study was to examine the levels of resilience, depression, and self-esteem of hemodialysis(HD) patients, and to find out the factors influencing resilience. METHODS The subjects of this descriptive correlational study was 83 outpatients in H hospital in Seoul, Korea, who receive hemodialysis regularly. Data was analyzed by SPSS/WIN 18.0 program. RESULTS The resilience of HD patients were statistically different by gender, job, economical state, most supportive person, and recent condition. Self-esteem had positive correlation, while depression had moderate negative correlation with the resilience of HD patients. In regression analysis, depression had significant explanation power, which accounted for 25.4% of the resilience. CONCLUSION The results of this study provide basic data for developing a resilience promoting program. Since health-related conditions of HD patients affect their levels of resilience, individualized assessment and management of complications are necessary. Also, as the resilience is related to family support, activating support groups for HD patients and their spouses would be helpful to promote their resilience.
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PURPOSE The purpose of this study was to investigate the levels of burden, family resilience and adaptation of caregivers of elderly patients with dementia, and further to identify factors influencing their adaptation. METHODS A cross-sectional descriptive study was designed. Data were collected from questionnaires distributed to 131 family caregivers of elderly patients who visited at the Centers for Dementia in Seoul during 2012~2013. The data were analyzed using descriptive statistics, t-test, ANOVA, Pearson's correlation analysis, and stepwise multiple regression. RESULTS The average age of the care giving subjects was 63.58, and 31.3% were male, and 41.2% were the spouses. Statistically significant relationships were found between burden and adaptation (r=-.38, p<.001), and between family resilience and adaptation (r=.52, p<.001), and between burden and family resilience (r=-.35, p=.001). Thirty percent of adaptation was explained by burden and family resilience. The most influencing factor to adaptation was family resilience which explained about 27% of the variance. CONCLUSION The results of the study clearly indicate that family resilience explains better than burden on adaptation of family caregivers. Thus, to develop more effective nursing intervention for family caregivers of elderly patients with dementia, it would be necessary to integrate family resilience in the programs. 27% is not that much and I wonder if we have to do more work to identify the factors that influence care giving.
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