Evidence map›Paper›PMID 41662073›Full record

ArticlePLOS mental health2025

Factors explaining resilience among nepalese nurses of tertiary-level hospital experiencing COVID-19 pandemic: A cross-sectional study.

Sarala Kc, Rekha Timalsina, Shanta Dangol Shrestha, Praneed Songwathana

Abstract read
In one paragraph

Article in PLOS mental health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Sarala KcCo-Leads Registered Nurse (RN), Master in Nursing (MN), Professor, Former Dean, Patan Academy of Health Sciences (PAHS), School of Nursing and Midwifery [SONAM], Sanepa, Lalitpur, Nepal.
Rekha TimalsinaCo-Leads RN, MN, MA, PhD in Nursing Science, Associate Professor, PAHS, SONAM, Sanepa, Lalitpur, Nepal.ORCID https://orcid.org/0000-0002-7596-2349
Shanta Dangol ShresthaRN, MN, Nursing Director, PAHS, Patan Hospital, Sanepa, Lalitpur, Nepal.
Praneed SongwathanaRN, PhD, Professor, Faculty of Nursing, Prince of Songkla University, Hat Yai, Thailand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Resilience is important for nurses in preventing mental health problems, promoting psychological well-being, enhancing the quality of patient care, and empowering them to effectively manage healthcare crises. Fostering resilience and identifying its explanatory factors is essential for the nursing profession while facing persistent challenges during and after the COVID-19 pandemic. Considering the scarce evidence, this study aimed to identify the current state of resilience and its explanatory factors among Nepalese nurses at a tertiary hospital during the COVID-19 pandemic. Cross-sectional research was conducted among 307 nurses (i.e., staff nurses and sisters in-charge) from tertiary hospital 'A', selected using proportionate stratified random sampling. The data were collected via a self-administered structured questionnaire using a socio-demographic and job-related information sheet and five other sets of standard, valid, and reliable instruments. The data were analyzed using descriptive statistics and inferential statistics, namely Pearson Product-Moment Correlation with multiple linear regression and path analysis. The highest percentage of respondents (51.8%) had an intermediate [i.e., neither low nor high] level of resilience. The model of resilience fits with the empirical data. Furthermore, self-efficacy, perceived social support (PSS), and compassion satisfaction (CS) were the statistically significant factors that explained 31 percent of the variance in resilience (Adjusted R2 =.31) with other non-significant factors (i.e., perceived organizational support and burnout). Additionally, PSS and CS had statistically significant positive indirect effects on resilience through self-efficacy, with their total effects. In conclusion, nurses had an intermediate level of resilience, and the resilience model aligned well with the empirical data. Therefore, hospital and nursing administration should consider these findings to design and implement targeted interventions that foster resilience. This can be achieved by preventing burnout and strengthening nurses' positive psychosocial resources, including compassion satisfaction, self-efficacy, and social and organizational support, to help them navigate the challenges of their demanding profession.

Identifiers

PMID41662073
PMCPMC12798480

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.