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. 2024 Dec 9;14(4):3919-3932.
doi: 10.3390/nursrep14040286.

H-SVEST: Validation and Adaptation of the Hebrew Version of the Second Victim Experience and Support Tool

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H-SVEST: Validation and Adaptation of the Hebrew Version of the Second Victim Experience and Support Tool

Rinat Cohen et al. Nurs Rep. .

Abstract

Background: Adverse medical events not only harm patients and families, but also have a significant negative impact on healthcare providers, with the potential to compromise future professional functioning. These "second victims" may need organizational support and rehabilitation to return to functionality.

Objectives: We analyzed the validity of an adapted tool, the Second Victim Experience and Support Tool (SVEST), on a population in Israel, H-SVEST.

Methods: The H-SVEST was completed by 172 nurse participants working in a variety of patient care settings. All of the participants reported experiencing SVP. The H-SVEST was assessed for content validity, internal consistency, and construct validity with confirmatory factor analysis (CFA).

Results: The CFA, when run on the initial model with 9 factors and 29 items, did not meet criteria for suitability of fit. After removing three items based on their low-factor loadings and the correlation, the model fit significantly improved with acceptable CFI, TLI, RMSEA, and SRMR. The final version included 26 items and 9 factors with Cronbach α values ranging from 0.66 to 0.94.

Conclusion: The H-SVEST demonstrates robust psychometric properties and valuable insights into the second victim experience in the Israeli context. Comparative analysis with other versions highlights potential cultural influences and areas for further investigation. Implementing this tool and developing evidence-based interventions based on its results can significantly improve the well-being and resilience of healthcare providers in Israel and other countries with diverse cultural populations.

Keywords: confirmatory factor analysis; nursing; second victim experience and support tool; validation.

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Conflict of interest statement

The authors declare no conflicts of interest.

Figures

Figure 1
Figure 1
Translation and adaptation process of the H-SVEST [16].
Figure 2
Figure 2
Graphical Representation of Confirmatory Factor Analysis Results. Figure 2 presents the following factors: psychological distress (F1), physical distress (F2), colleague support (F3), supervisor support (F4), institutional support (F5), non-work-related support (F6), professional self-efficacy (F7), turnover intentions (F8) and absenteeism (F9). * p < 0.05; ** p < 0.01, *** p < 0.001.

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