Aims. This systematic meta-review investigates determinants, measurement methods, and intervention effectiveness in healthcare and welfare sectors, focusing on intention to leave and actual turnover. Methodology. Following PRISMA-P guidelines, we analyzed data from January 2013 to July 2023 across multiple databases, including PubMed, Web of Science, CINAHL, Cochrane Database of Systematic Reviews, and Embase. Two reviewers independently screened titles and abstracts for predefined eligibility criteria. They also collaboratively examined 10% of the full texts to ensure compliance with these criteria. Study quality was evaluated using AMSTAR 2, and a Corrected Covered Area analysis was conducted. Results. The analysis of 37 studies (and a total of 511 primary studies) showed a broad spectrum of determinants influencing both intention to leave and actual turnover, with variations across different contexts. The Dutch 5 A’s model was employed to categorize these determinants. Furthermore, our analysis also highlighted the diversity in turnover measurement methodologies and the differing outcomes of various interventions aimed at reducing turnover. Conclusion. The findings show the complexity and context-specific nature of turnover in healthcare and welfare sectors. The inclusion of the 5 A model offers an understanding of job quality factors affecting turnover, emphasizing the importance of a holistic approach to retention strategies.