Aim To determine the occurrence, factors and outcome of missed nursing care from the perspective of Malaysian nurses. Background Missed nursing care is an important issue in the global health care sector. However, little is known on the extent of missed nursing care in the Malaysian context and its contributing factors. Methods A cross‐sectional design was adopted for data collection using the MISSCARE Survey instrument. Participants comprised 364 nurses from medical and surgical wards of a large teaching hospital. Data were analysed using descriptive, binomial logistic and hierarchical regression analyses. Results The overall occurrence of missed nursing care was 1.88 (on a scale of 1.00–5.00), which differed across 24 nursing care elements. Basic nursing care and communication‐related care were the most frequently missed elements. Types of ward and labour resources were identified as contributing factors to missed nursing care (p < .001). No significant association was found between missed nursing care and nurses' intention to leave (p > .05). Conclusion The occurrence of missed nursing care was noted to be low. Implications for Nursing Management Practical strategies such as an acuity‐based staffing system, close monitoring of rendered care and strengthening of teamwork are recommended to minimize missed nursing care.

Background: Retaining experienced critical care nurses (CCNs) remains a challenge for health care organizations. Nursing practice environment and resilience are both seen as modifiable factors in ameliorating the impact on CCNs' intention to leave andhave not yet been explored in Malaysia.Aims and objectives: To assess the association between perceived nursing practice environment, resilience, and intention to leave among CCNs and to determine the effect of resilience on intention to leave after controlling for other independent variables.Design: This was a cross-sectional survey.Methods: The universal sampling method was used to recruit nurses from adult and paediatric (including neonatal) critical care units of a large public university hospital in Malaysia. Descriptive analysis and χ 2 and hierarchical logistic regression tests were used to analyse the data.Results: A total of 229 CCNs completed the self-administrated questionnaire. Of the nurses, 76.4% perceived their practice environment as being favourable, 54.1% were moderately resilient, and only 20% were intending to leave. The logistic regression model explained 13.1% of variance in intention to leave and suggested that being single, an unfavourable practice environment, and increasing resilience were significant predictors of nurses' intention to leave. Conclusion:This study found that an unfavourable practice environment is a strong predictor of intention to leave; however, further exploration is needed to explain the