Second victim experiences of nurses in obstetrics and gynaecology: A Second Victim Experience and Support Tool Survey
Robyn E. FinneyVanessa E. TorbensonKirsten A. RigganAmy L. WeaverMargaret E. LongMegan AllyseEnid Y. Rivera‐Chiauzzi
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To investigate second victim experiences and supportive resources for nurses in obstetrics and gynaecology.Nurses are at risk of developing second victim experiences after exposure to work related events.Nurses at a single institution were invited to participate in an anonymous survey that included the validated Second Victim Experience and Support Tool to assess symptoms related to second victim experiences and current and desired supportive resources.Of 310 nurses, 115 (37.1%) completed the survey; 74.8% had not heard of the term 'second victim'. Overall, 47.8% reported feeling like a second victim during their career and 19.1% over the previous 12 months. As a result of a second victim experience, 18.4% experienced psychological distress, 14.3% turnover intentions, 13.0% decreased professional self-efficacy, and 12.2% felt that institutional support was poor. Both clinical and non-clinical events were reported as possible triggers for second victim experiences. Peer support was the most desired form of support as reported by 95.5%.Nurses in obstetrics and gynaecology face clinical and non-clinical situations that lead to potential second victim experiences.The second victim experiences of nurses should be acknowledged, and resources should be implemented to navigate it. Educational opportunities and peer supportive interventions specific to second victim experiences should be encouraged.Keywords:
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The purpose of this study was the differences of social support according to the characteristics of people with physical Impairment in terms of sociology of population. In order to examine the effects of social support on People with Physical Impairment participation in sports for all, 267 people with physical impairment data were analyzed. As the questionnaire for social support, this pa per used SIS (Social Influences Scale) employed in Hong Sang Uk, et al. (2003)`s questionnaire after revision and complementation. Also, using PASW 18.0, this study conducted validity and reliability verification and also Multivariate Analysis of Variance and Multiple Regression Analysis. Thereby, it gained the following results: First, by the sex of the people with physical impairment, there was significant difference in peer support, family support, instructor`s support, and self-esteem support. Also, by age, there was significant difference in peer support, instructor`s support, emotional support, self-esteem support, and materialistic support. And about disability rating, there was significant difference in peer support and instructor`s support. Second, among the subvariables of social support, peer support, family support, instructor`s support, and self-esteem support affected people with physical impairment participation in sports for all significantly. And emotional support and materialistic support had no statistically significant influence.
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Purpose Exercise motivation (EM) is related to individual capabilities and social support. However, in support facilities for people with disabilities, it is susceptible to a lack of social support. In this study, we classified EM into Autonomous Motivation (AM) and controlled motivation (CM) and then examined the influence of social support.Method Thirty-three residents from a support facility for people with disabilities in Japan participated in this study. We conducted a hierarchical multiple regression analysis in which age, gender and time since admission were entered in Step 1, mobility and self-efficacy as individual capabilities in Step 2, and family support, facility support and peer support as social support in Step 3.Result A significant increase in variance from Step 2 to Step 3 was found for both AM (ΔR2 = 0.504, ΔF = 12.18, p < .001) and CM (ΔR2 = 0.269, ΔF = 3.491, p = .031). The results also showed that AM was higher among those with high family and facility support, and CM was higher among those with low family and high peer support.Conclusions Social support was a more significant predictor of EM among participants than individual capabilities.KEY MESSAGESAmong residents of support facilities for people with disabilities, assessing not only individual capabilities but also social support status can lead to better understandings of exercise motivation (EM).To enhance facility residents' autonomous motivation (AM), it is necessary to intervene after evaluating family and facility support.When family support is not readily available among facility residents, efforts should be made to encourage residents to interact with each other to increase peer support.
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The purpose of this study was the differences of social support according to the characteristics of people with physical Impairment in terms of sociology of population. In order to examine the effects of social support on People with Physical Impairment participation in sports for all, 267 people with physical impairment data were analyzed. As the questionnaire for social support, this pa per used SIS (Social Influences Scale) employed in Hong Sang Uk, et al. (2003)`s questionnaire after revision and complementation. Also, using PASW 18.0, this study conducted validity and reliability verification and also Multivariate Analysis of Variance and Multiple Regression Analysis. Thereby, it gained the following results: First, by the sex of the people with physical impairment, there was significant difference in peer support, family support, instructor`s support, and self-esteem support. Also, by age, there was significant difference in peer support, instructor`s support, emotional support, self-esteem support, and materialistic support. And about disability rating, there was significant difference in peer support and instructor`s support. Second, among the subvariables of social support, peer support, family support, instructor`s support, and self-esteem support affected people with physical impairment participation in sports for all significantly. And emotional support and materialistic support had no statistically significant influence.
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Social support predicts better health and lower mortality, but the benefits of peer social support for smoking cessation are unclear due to methodological limitations of previous studies. Moreover, gender as a moderating factor has not been investigated despite documented differences in social support processes by gender. This study of perceived availability of peer support in quitting is a secondary analysis of 1,010 individuals who wanted to quit smoking and enrolled in an RCT that provided quitting assistance using tailored emails scheduled around a quit date. Participants completed measures of peer support for quitting at enrollment (baseline), and at 1-, 3-, and 6-month follow-ups. Peer support at follow-ups was categorized as (i) never-present, (ii) always-present, and (iii) mixed. Generalized Estimating Equations (GEEs) examined associations between peer support and 7-day point prevalence abstinence at follow-ups, controlling for baseline peer support, experimental condition, stress, depression, and sociodemographic and smoking behavior-related variables. Peer support x time and peer support x gender interactions were tested. Results indicated that among women, always-present or mixed peer support was associated with, respectively, odds of abstinence that were 4.36 (95% CI, 2.54-7.49, p <.0001), and 2.21 (OR=2.21, 95% CI, 1.27-3.85, p <.005) greater than among women reporting never-present peer support. Among men, peer support did not predict abstinence. Women who smoke may be especially receptive to the benefits of peer support when attempting to quit. Investigation of the basis of their perceptions, how they might be increased, and whether interventions to change them would be effective, is warranted.
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SUMMARY STATEMENT What is already known about this topic? Diabetes distress is prevalent in type 2 diabetes and associated with adverse diabetes outcomes. Diabetes distress may be decreased by peer support intervention, but findings about the effect of peer support on diabetes distress have been mixed. What this paper adds? Existing peer support interventions were not more effective in reducing diabetes distress for people with type 2 diabetes when compared with usual care. Most current peer support interventions mainly targeted education and behaviour change and not directly targeted diabetes distress. The implications of this paper: There is a need to design the peer support interventions targeted at reducing diabetes distress. The baseline score of diabetes distress should be considered in the design of peer support interventions.
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Peer support is widely assumed to help individuals with spinal cord injury (SCI) adjust, yet the evidence is mixed. We propose that peer support may be more likely to promote adjustment when informal support is lacking. To test this hypothesis, 135 individuals living with SCI receiving peer support (46.7% female; Mage = 42.36, SD = 14.83) completed an online survey assessing aspects of and satisfaction with the peer support and family/friend support that they were receiving as well as measures of adjustment. Although those reporting receiving more peer support were not any better adjusted than those reporting less, individuals who were more satisfied with the peer support they received reported better adjustment. Moreover, the relation of satisfaction with peer support with depressive symptoms was dependent on the level of family/friend support. These findings suggest that peer support is most effective among those lacking support from family and friends.
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This study examined whether nursing home patients identified social support as coming from institutional peers and staff as well as family members. Associations among social support from those three sources, psychological well-being, and motivation to participate in treatment were explored in 32 patients. A majority described peer and staff support networks that were as large as or larger than their family support network. Subjective perceptions of support, but not size of network, were associated with well-being. Perceived support from peers was associated with less depression, greater positive affect, and greater motivation. Perceived support from staff and family was less consistently associated with well-being and motivation. Results suggest that peer and staff support contribute to the well-being of older adults and may complement family support during inpatient admissions or residential stays. Clinical and programmatic interventions that facilitate peer and staff support might enhance patient well-being and stimulate participation in self-care.
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