Effects of dispositional resilience and self-efficacy on practice in advanced care planning of terminally ill patients among taiwanese nurses: A study using path modeling

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Abstract

This study aimed to expand on previous research elucidating the effects of dispositional resilience and self-efficacy on practice in advanced care planning (ACP) of terminally ill patients among Taiwanese nurses using path modeling. This cross-sectional study was conducted using cluster sampling. Data were collected using demographics, nurses’ knowledge, attitude, and practice of ACP (KAP-ACP) inventory, Dispositional Resilience Scale, and General Self-Efficacy Scale. A total of 266 nurses from a tertiary medical center in northern Taiwan participated in this study in 2019. The results showed that gender and ward were significant K-ACP predictors among nurses. The ACP knowledge, ward, and experience of caring for terminally ill friends or relatives were significant A-ACP predictors, whereas ACP attitudes, dispositional resilience, self-efficacy, ward, and the frequency of caring for terminally ill patients were the key predictors of P-ACP. The path modeling showed that dispositional resilience; self-efficacy; medical, surgical, hematology and oncology wards; previous experience in caring for terminally ill friends or relatives; participating in the do-not-resuscitate signature; and the frequency of caring for terminally ill patients directly influenced ACP practices. We recommend that nurses enhance their dispositional resilience and self-efficacy, which may encourage them to appreciate the value of ACP practice of terminally ill patients and improve the quality of care.

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Pan, H. H., Wu, L. F., Chang, L. F., Hung, Y. C., Lin, C., & Ho, C. L. (2021). Effects of dispositional resilience and self-efficacy on practice in advanced care planning of terminally ill patients among taiwanese nurses: A study using path modeling. International Journal of Environmental Research and Public Health, 18(3), 1–12. https://doi.org/10.3390/ijerph18031236

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