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As in the case of VL change prediction, the major improvement was observed for the model that used only binary drug indicators.
Remarkably, the model based on TAS (TAS and pRC) performed worse than (similar to) the model based simply on drug indicators and pRC.
The model that used binary drug indicators and pRC as predictors performed as well as the one using TAS and pRC in the first year of treatment, and afterwards even outperformed the TAS and pRC-based model.
Alcohol and drug indicators included diagnoses of current alcohol or drug abuse and/or dependence.
Nineteen equipment and drug indicators were disregarded to avoid weighting the study too greatly towards these items and eleven indicators were excluded due to missing data from four or more hospitals.
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The GPs questioned these indicators which resulted in not including the acid suppressive drugs indicators in the program, and including indicators on prescribing antibiotics.
The prescribing indicators used in this study were adapted from the WHO/International Network for the Rational Use of Drugs indicators, which have been used widely [ 2, 15, 28].
Questionnaires contained four categories of drug policy indicators including background information, structural indicators, process indicators, and outcome indicators.
Data for the myocardial infarction four drugs indicator (Aspirin, Betablocker, Statin and ACE inhibitor) showed low levels of achievement at baseline, making it a good candidate for evidence based quality improvement and therefore financial incentivization.
This article does not highlight specific drug enforcement indicators.
Instead, it argues for the development and importance of these drug specific indicators.
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CEO of Professional Science Editing for Scientists @ prosciediting.com