PubMed · 15579404
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Ron Chepesiuk. 2004. NRDC knocks nukes.. https://doi.org/10.1289/ehp.112-a984
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Ongoing instability in the nursing workforce is raising questions globally about the issue of nurse turnover. A comprehensive literature review was undertaken to examine the current state of knowledge about the scope of the nurse turnover problem, definitions of turnover, factors considered to be determinants of nurse turnover, turnover costs and the impact of turnover on patient, and nurse and system outcomes. Much of the research to date has focused on turnover determinants, and recent studies have provided cost estimations at the organizational level. Further research is needed to examine the impact of turnover on health system cost, and how nurse turnover influences patient and nurse outcomes.
The effect of number of repeated measures on the variance of the generalized least squares (GLS) treatment effect estimator is considered assuming a linearly divergent treatment effect, equidistant time-points and either a fixed number of subjects or a fixed study budget. The optimal combination of group sizes and number of repeated measures is calculated by minimizing this variance subject to a linear cost function. For a fixed number of subjects, the variance of the GLS treatment effect estimator can be decreased by adding intermediate measures per subject. This decrease is relatively large if a) the covariance structure is compound symmetric or b) the structure approaches compound symmetry and the correlation between two repeated measures does not exceed 0.80, or c) the correlation between two repeated measures does not exceed 0.60 if the time-lag goes to zero. In case the sample sizes and number of repeated measures are limited by budget constraints and the covariance structure includes a first-order auto-regression part, two repeated measures per subject yield highly efficient treatment effect estimators. Otherwise, it is more efficient to have more than two repeated measures. If the covariance structure is unknown, the optimal design based on a first-order auto-regressive structure with measurement error is preferable in terms of robustness against misspecification of the covariance structure. The numerical results are illustrated by three examples.
In 2004, three new important laws were passed concerning radiotherapy services. The first two concerns the internal and external quality control of linear accelerators and the last concerns the role of the medical physicist, whose presence was made mandatory during the whole length of the treatments. These laws, which aim to improve the quality and the security of treatments, represent an increase in price that we have calculated, and which prevents them being implemented, as a joint study realised by the SFRO and the SFPM has shown. The cost of quality in radiotherapy requires investment in material and manpower and improvement in availability of the accelerators which entails a complete reorganisation of the services. Cost analysis is included. The difficulties in implementing these laws have also been evaluated and this evaluation already enables us to propose certain elements enabling us to go forward to globally improve the quality and security in radiotherapy.