Dataset for "Costs and cost-effectiveness of user-testing of health professionals’ guidelines to reduce the frequency of intravenous medicines administration errors by nurses in the United Kingdom: a probabilistic model based on voriconazole administration"

960 33 14484 2 44373 document 14484 User_testing_cost-effectiveness_data.zip application/zip e58a00427aa0e3fea80b82c674f0df53 MD5 4729112 2021-01-16 14:47:48 https://researchdata.bath.ac.uk/960/1/User_testing_cost-effectiveness_data.zip 960 1 1 application/zip other This zip file contains three other files: 1) Main model.xlsm is the model used for the base case analysis and the majority of the sensitivity analyses 2) Structural sensitivity analysis model.xlsm is the model used for the structural sensitivity analysis considering the effects of multiple errors per dose 3) Prediction interval meta-analysis.pdf shows the literature data and STATA output for the meta-analysis used to calculate the risk ratio for a medication administration error following a d en public cc_by

User_testing_cost-effectiveness_data.zip

data archive 6216 disk0/00/00/09/60 2021-08-03 06:53:11 2024-07-18 12:32:00 2021-08-03 06:53:11 data_collection show Jones Matthew M.D.Jones@bath.ac.uk 0000-0002-2617-4098 University of Bath TRUE Franklin Bryony Dean bryony.deanfranklin@ucl.ac.uk 0000-0002-2892-1245 University College London FALSE Raynor D K D.K.Raynor@leeds.ac.uk 0000-0003-0306-5275 University of Leeds; Luto Research FALSE Thom Howard howard.thom@bristol.ac.uk 0000-0001-8576-5552 University of Bristol FALSE Watson Margaret M.C.Watson@bath.ac.uk 0000-0002-8198-9273 University of Bath FALSE Kandiyali Rebecca rebecca.kandiyali@bristol.ac.uk 0000-0001-8566-9536 University of Bristol FALSE Dataset for "Costs and cost-effectiveness of user-testing of health professionals’ guidelines to reduce the frequency of intravenous medicines administration errors by nurses in the United Kingdom: a probabilistic model based on voriconazole administration" DK0060 DV0010 GS0080 dept_pharm medicines safety, guidelines, user testing, administration - intravenous, cost-effectiveness, nurses, probabilistic modelling The data contained in the two Excel model files are described within the files using cell comments. These models are based on a number of Excel worksheets in each, which are described below: Analysis - this worksheet is used to enter model input parameters (for time horizon, annual number of voriconazole doses, number of user testing interviews) and display the results. The run the model, first press the 'Monte Carlo Macro' button, then the 'Cost-effectiveness & EVPI curves' button Control model figure - this worksheet displays a diagramatic representation of the decision tree model for the no user testing scenario UT model figure - this worksheet displays a diagramatic representation of the decision tree model for the user testing scenario CE Curve - this worksheet displays the calculated cost-effectiveness acceptability curve EVPI - this worksheet displays the calculated expected value of perfect information curve Parameters - this worksheet displays and defines all the model input parameters and their distributions Dirichlet dist - this worksheet derives the Dirichlet distributions for error types and error severity Inflation - this worksheet derives the value for inflation Live model outputs - this worksheet derives the output for each simulation when the model is run. These outputs are then recorded in the 'Recorded model outputs' worksheet Recorded model outputs - this worksheet records the output for each simulation when the model is run. These data are then used by the 'Analysis' worksheet to calculate mean values and 95% credible intervals. This dataset relates to a paper describing the costs and cost-effectiveness of user-testing injectable medicines guidelines, which was analysed using a probabilistic decision-analytic model. The dataset contains the Excel models used in the analysis and the STATA meta-analysis output used to determine one of the model inputs (the risk ratio for a medication administration error following a double-check by a nurse [compared with no double-check]). 2021-08-03 University of Bath public RightsHolder University of Bath National Institute for Health Research https://doi.org/10.13039/501100000272 TRF-2017-10-006 Can Systematic User Testing of the National NHS Injectable Medicines Guide Improve Patient Safety? Please see the detailed description given in the related open-access paper. Microsoft Excel 365 STATA 16.0 en 1 10.15125/BATH-00960 https://doi.org/10.1007/s40258-021-00675-z pub open