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Aim To examine and synthesize the noneconomic and economic impacts of nurse turnover in acute hospitals. Background Nurse turnover occurs when nurses leave their jobs or the profession and is a major concern for the healthcare industry. Many studies have investigated the determinants of nurse turnover. Methods The Preferred Reporting Items for Systematic Reviews and Meta‐Analyses checklist was utilized in the current review. Article search was conducted in June 2021. Research articles published since January 2000 were included. Eight databases (e.g., CINAHL, PubMed, PsycINFO, and Web of Science) were used. The following eligibility criteria were applied for inclusion: Articles that (1) were nonexperimental quantitative studies, (2) examined the impact of actual nurse turnover in acute hospitals, (3) were a peer‐reviewed original research article, and (4) were written in English or Korean. Results Among 9,041 searched articles, 16 were included in the review. Seven studies investigated the association of nurse turnover with processes and outcomes (workgroup processes, nurse staffing, nurse outcomes, and patient outcomes), and partially supported the negative impact of turnover. Nine studies found that nurse turnover is very costly. Conclusion Most studies investigated the turnover cost, which is costly. The negative noneconomic impact of nurse turnover was partially supported. Implications for nursing practice and nursing policy To prevent the adverse noneconomic and economic impacts of nurse turnover and retain nurses, healthcare organizations, nurse managers, and hospital staff nurses need to develop and implement prevention strategies and policies to address nurse turnover. Efforts to address nurse turnover can increase hospital competency to improve the quality of nursing care services and patient safety.

A method to explicitly calculate the effective radius of hydrometeors in the Weather Research Forecasting (WRF) double-moment 6-class (WDM6) microphysics scheme is designed to tackle the physical inconsistency in cloud properties between the microphysics and radiation processes. At each model time step, the calculated effective radii of hydrometeors from the WDM6 scheme are linked to the Rapid Radiative Transfer Model for GCMs (RRTMG) scheme to consider the cloud effects in radiative flux calculation. This coupling effect of cloud properties between the WDM6 and RRTMG algorithms is examined for a heavy rainfall event in Korea during 25–27 July 2011, and it is compared to the results from the control simulation in which the effective radius is prescribed as a constant value. It is found that the derived radii of hydrometeors in the WDM6 scheme are generally larger than the prescribed values in the RRTMG scheme. Consequently, shortwave fluxes reaching the ground (SWDOWN) are increased over less cloudy regions, showing a better agreement with a satellite image. The overall distribution of the 24-hour accumulated rainfall is not affected but its amount is changed. A spurious rainfall peak over the Yellow Sea is alleviated, whereas the local maximum in the central part of the peninsula is increased.

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