The health care sector has a rapidly increasing ageing workforce, rising health care demands, and nursing staff and other health professionals are increasingly working part-time and leaving the profession early 1) . Additionally, health and social care workforce shortages have a negative effect on the quality of care provided and are associated with high costs 2) . Hence, maintaining the current workforce is crucial for the health care sector.Staff turnover is an important metric in human resources management and maintenance of the current workforce. "Intention to leave" (ITL) is a widely used and well-developed proxy for staff turnover 3) and future behavior of actually leaving a profession 4) or an organization 5) . Multiple factors have impacts on ITL, including sociodemographic factors (e.g., age, occupation and family responsibilities 6) work-related factors (e.g., team climate 5) ), and macroeconomic factors such as local job supply 7) . Job satisfaction is a well-documented predictor of exit intentions across professionals; lower levels of job satisfaction predict intention to leave amongst doctors 8) , municipal workers 9) and nurses 6) . A meta-analysis 3) found that ITL is more predictive of employee turnover than overall job satisfaction, satisfaction with the work itself or organizational commitment. More recent research has also demonstrated this effect. Hann and colleagues 4) found that job satisfaction predicted ITL and that ITL predicted The implicit assumption appears to be that both constructs represent different sides of the same coin. This study challenges this assumption. The objectives were (i) to test whether these constructs were similar measures of the same construct, and (ii) to assess the strength of the relationships between ITL and ITS with work-related outcomes. Methods: The Workforce Dynamics Questionnaire (WDQ) was administered to 298 staff. The WDQ included two items on ITL and was supplemented with three items on ITS. Structural equation modelling (SEM) was used. Results: The response rate was 43%. The correlation between the two constructs was negative and quite high (r=−0.84), indicating potential issues with discriminant validity. However, the constructs behaved differently in relation to job satisfaction and job integration. ITS was a strong predictor (0.95, p<0.001), whereas ITL was not significantly related (0.34, p=0.195) to JS. The direct effects of JI on ITS was 0.30 and on ITL was −0.42. The indirect effects of JI were more contrasting, being 0.56 for ITS and −0.30 for ITL, via job satisfaction. Conclusions: This is the first study amongst British health and social care workers that has demonstrated that ITS and ITL are not measuring the same construct. While there is overlap, care should be taken when using these constructs interchangeably, particularly when measuring