Decision-making psychological state and characteristic of proxies of thrombolytic patients: a pilot study.

Intravenous thrombolysis is the preferred treatment modality for acute ischemic stroke. In China, written informed consent from patients or proxies must be obtained before intravenous thrombolysis is performed, which always leads to in-hospital delay of thrombolysis. To explore the relationship between characteristics of thrombolysis decision-making and psychological states of proxies of AIS patients. This was a pilot study. 231 proxies of AIS patients were recruited, including 147 males and 84 females. STAI, WFPTS, CAOT, CPS, C-DCS and time-consuming of decision-making were collected by trained nurses during the period from signing informed consent to thrombolysis finished. The general information was collected within 24 h after admission. Pearson correlation analysis and the Ridge regression analysis were used to explore the correlation and causality between psychological indicators (STAI, WFPTS, CAOT, CPS) and decision-making characteristics (C-DCS, Time consuming). Structural equation modeling was used to explore the direct and indirect effect of psychological factors on decision-making characteristics. The mean of anxiety, trust in physicians, and decision conflict were 49.20 ± 9.50, 37.83 ± 6.63 and 30.60 ± 14.77, respectively. The CAOT was associated with C-DCS through the mediation of STAI and WFPTS (p < 0.001). The CAOT was associated with time-consuming through the mediation of STAI, WFPTS and CPS (p < 0.05). The CAOT, STAI and WFPTS were associated with C-DCS (p < 0.05), and STAI, WFPTS and CPS were associated with time-consuming (p < 0.01). The proxy of patients with acute ischemic stroke had severe decision conflict in thrombolysis decision-making. The psychological state was associated with decision conflict and the time-consuming. Medical staff should explore methods to release the anxiety and increase the trust in physicians to reduce the decision-making conflict and time-consuming, which could promote the smooth progress of the informed consent.

Relationships Among Character Strengths, Self-efficacy, Social Support, Depression, and Psychological Well-being of Hospital Nurses

Purpose@#From the perspective of positive psychology, our study aimed to explore depressive symptomsand psychological well-being among Chinese nurses, as well as analyze the impacts of characterstrengths, self-efficacy and social support on the mental health of nurses. @*Methods@#A cross-sectional and descriptive design using five self-reported questionnaires was used toinvestigate a cohort of 4238 nurses during 2018. A structural equation modeling analysis was used toverify a hypothetical model linking character strengths, self-efficacy, social support, depressive symptoms,and psychological well-being. @*Results@#The prevalence of depression among this cohort of Chinese nurses was 58.1%. The mean scoresfor caring, inquisitiveness, and self-control were 19.93 (SD = 2.82), 15.94 (SD = 3.00), and 16.34(SD = 2.95), respectively. The hypothesized model was a good fit of the data (x2/df = 1.77, p = .183, rootmean square error of approximation = 0.04, goodness of fit index = 1.00, comparative fit index = 1.00,TuckereLewis index = 1.00). Except for the path from self-control to depression, the other hypotheticalpaths investigated were statistically significant. @*Conclusion@#Character strengths were directly and positively associated with psychological well-being.Inquisitiveness was the strongest direct protective factor for depression. In addition, characterstrengths indirectly alleviated depression and increased psychological well-being through mediatingvariables of social support and self-efficacy. This study should alert nurse managers that more attentionshould be paid to the character strengths and mental health of nurses. This study provides evidence forinterventions based on character strengths as a management strategy to support the mental health ofnurses.

Relationships Among Character Strengths, Self-efficacy, Social Support, Depression, and Psychological Well-being of Hospital Nurses

Purpose@#From the perspective of positive psychology, our study aimed to explore depressive symptomsand psychological well-being among Chinese nurses, as well as analyze the impacts of characterstrengths, self-efficacy and social support on the mental health of nurses. @*Methods@#A cross-sectional and descriptive design using five self-reported questionnaires was used toinvestigate a cohort of 4238 nurses during 2018. A structural equation modeling analysis was used toverify a hypothetical model linking character strengths, self-efficacy, social support, depressive symptoms,and psychological well-being. @*Results@#The prevalence of depression among this cohort of Chinese nurses was 58.1%. The mean scoresfor caring, inquisitiveness, and self-control were 19.93 (SD = 2.82), 15.94 (SD = 3.00), and 16.34(SD = 2.95), respectively. The hypothesized model was a good fit of the data (x2/df = 1.77, p = .183, rootmean square error of approximation = 0.04, goodness of fit index = 1.00, comparative fit index = 1.00,TuckereLewis index = 1.00). Except for the path from self-control to depression, the other hypotheticalpaths investigated were statistically significant. @*Conclusion@#Character strengths were directly and positively associated with psychological well-being.Inquisitiveness was the strongest direct protective factor for depression. In addition, characterstrengths indirectly alleviated depression and increased psychological well-being through mediatingvariables of social support and self-efficacy. This study should alert nurse managers that more attentionshould be paid to the character strengths and mental health of nurses. This study provides evidence forinterventions based on character strengths as a management strategy to support the mental health ofnurses.