Predictors of nurses' turnover intention at one and five years' time.

AIM: This study examined the role of job dimensions, job satisfaction, psychological stress and job burnout in predicting turnover intention at one and five years' time among professional nurses in the Philippines. METHODS: A cross-sectional design was utilized in the study using a convenience sample of 549 registered nurses from six hospitals in the Central Philippines during the period of October 2018 to January 2019. Five self-report scales were used in this study. RESULTS: Overall, 46.1% (n = 253) and 78.9% (n = 433) of nurses reported planning to leave the organization at one and five years' time, respectively. The type of hospital, job satisfaction and job burnout explained variances for turnover intention at one and five years' time. Separately, hospital bed capacity and job stress predicted turnover intention at five years' time. None of the job dimensions accurately predicted turnover intention in nurses. CONCLUSION: Higher turnover intention results at one and five years' time were dependent on nurses' psychological stress, job burnout and job satisfaction. IMPLICATIONS FOR NURSING PRACTICE AND POLICY: Organizational measures aimed at reducing stress and burnout and increasing job satisfaction in nurses are critically important to enhance the retention of nurses and ensure continued quality of nursing care.

(Micro)spectroscopic analyses of particle size dependence on arsenic distribution and speciation in mine wastes.

The chemical speciation and distribution of potentially toxic metal(loid)s in mine wastes is critical to assessing the risks posed by these wastes and predicting the potential bioavailability of the metal(loid)s present. Of additional potential importance is the role of particle size in the fate, transport, and toxicity of contaminated mining materials. Spectroscopic analyses of size-separated mine tailings and adjacent background samples from the Randsburg Historic Mining District, California were conducted to quantify the speciation and distribution of arsenic (As) as a function of particle size. Micro-X-ray fluorescence (µXRF) mapping of separate size fractions was used to identify multiple populations of particles with different As:Fe ratios, indicating a variety of distinct arsenic-bearing species. Bulk extended X-ray absorption fine structure (EXAFS) spectroscopy identified phases including arseniosiderite, Ca2Fe3(3+)(AsO4)3O3·3H2O, and As(V) sorbed to iron hydroxides (ferrihydrite, goethite), confirming a strong statistical correlation between arsenic and iron observed in both µXRF studies and bulk chemical analyses. Differences in As speciation between the mine tailings and background samples also suggest that weathering of crystalline As-bearing phases in tailings leads to sorption of dissolved arsenic to iron hydroxides in nontailings background material.