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"

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]).

Keywords:
medicines safety, guidelines, user testing, administration - intravenous, cost-effectiveness, nurses, probabilistic modelling
Subjects:
Design
Economics
Medical and health interface

Cite this dataset as:
Jones, M., Franklin, B., Raynor, D., Thom, H., Watson, M., Kandiyali, R., 2021. 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". Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-00960.

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Data

User_testing … effectiveness_data.zip
application/zip (4MB)
Creative Commons: Attribution 4.0

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

Creators

Matthew Jones
University of Bath

Bryony Dean Franklin
University College London

D K Raynor
University of Leeds; Luto Research

Howard Thom
University of Bristol

Rebecca Kandiyali
University of Bristol

Contributors

University of Bath
Rights Holder

Documentation

Data collection method:

Please see the detailed description given in the related open-access paper.

Technical details and requirements:

Microsoft Excel 365 STATA 16.0

Additional information:

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.

Funders

National Institute for Health Research (NIHR)
https://doi.org/10.13039/501100000272

Can Systematic User Testing of the National NHS Injectable Medicines Guide Improve Patient Safety
TRF-2017-10-006

Publication details

Publication date: 3 August 2021
by: University of Bath

Version: 1

DOI: https://doi.org/10.15125/BATH-00960

URL for this record: https://researchdata.bath.ac.uk/id/eprint/960

Related papers and books

Jones, M. D., Franklin, B. D., Raynor, D. K., Thom, H., Watson, M. C. and Kandiyali, R., 2021. 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. Applied Health Economics and Health Policy. Available from: https://doi.org/10.1007/s40258-021-00675-z.

Contact information

Please contact the Research Data Service in the first instance for all matters concerning this item.

Contact person: Matthew Jones

Departments:

Faculty of Science
Pharmacy & Pharmacology