Projects per year
Abstract
Aim: In the UK, injectable medicines are often prepared and administered by nurses following the Injectable Medicines Guide (IMG). Our earlier study confirmed a higher frequency of correct administration with user-tested versus standard IMG guidelines. This current study aimed to model the cost-effectiveness of user-testing. Methods: The costs and cost-effectiveness of user-testing were explored by modifying an existing probabilistic decision-analytic model. The adapted model considered administration of intravenous voriconazole to hospital inpatients by nurses. It included 11 error types, their probability of detection and level of harm. Model inputs (including costs) were derived from our previous study and other published data. Monte Carlo simulation using 20,000 samples (sufficient for convergence) was performed with a 5-year time horizon from the perspective of the 121 NHS trusts and health boards that use the IMG. Sensitivity analyses were undertaken for the risk of a medication error and other sources of uncertainty. Results: The net monetary benefit at £20,000/quality-adjusted life year was £3,190,064 (95% credible interval (CrI): −346,709 to 8,480,665), favouring user-testing with a 96% chance of cost-effectiveness. Incremental cost-savings were £240,943 (95% CrI 43,527–491,576), also favouring user-tested guidelines with a 99% chance of cost-saving. The total user testing cost was £6317 (95% CrI 6012–6627). These findings were robust to assumptions about a range of input parameters, but greater uncertainty was seen with a lower medication error risk. Conclusions: User-testing of injectable medicines guidelines is a low-cost intervention that is highly likely to be cost-effective, especially for high-risk medicines.
Original language | English |
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Pages (from-to) | 91-104 |
Number of pages | 14 |
Journal | Applied Health Economics and Health Policy |
Volume | 20 |
Issue number | 1 |
Early online date | 17 Aug 2021 |
DOIs | |
Publication status | Published - 31 Jan 2022 |
Funding
Matthew Jones is funded by a National Institute for Health Research (NIHR) Transitional Research Fellowship for this research project. Howard Thom was supported by the NIHR Biomedical Research Centre at University Hospitals Bristol and Weston NHS Foundation Trust and the University of Bristol. Margaret Watson was funded by a Health Foundation Improvement Science Fellowship. This paper presents independent research funded by the National Institute for Health Research (NIHR), the NIHR Imperial Patient Safety Translational Research Centre and the NIHR Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance at Imperial College in partnership with Public Health England (PHE). The views expressed are those of the author(s) and not necessarily those of the NHS, the NIHR, PHE or the Department of Health and Social Care. We are grateful to John Karnon (University of Adelaide) for providing copies of his original model and Robin Burfield (NHS Wales Informatics Service) for providing information on the usage of the Injectable Medicines Guide. We also thank all the NHS organisations who provided information in response to our Freedom of Information request. Matthew Jones is funded by a National Institute for Health Research (NIHR) Transitional Research Fellowship for this research project. Howard Thom was supported by the NIHR Biomedical Research Centre at University Hospitals Bristol and Weston NHS Foundation Trust and the University of Bristol. Margaret Watson was funded by a Health Foundation Improvement Science Fellowship. This paper presents independent research funded by the National Institute for Health Research (NIHR), the NIHR Imperial Patient Safety Translational Research Centre and the NIHR Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance at Imperial College in partnership with Public Health England (PHE). The views expressed are those of the author(s) and not necessarily those of the NHS, the NIHR, PHE or the Department of Health and Social Care. We are grateful to John Karnon (University of Adelaide) for providing copies of his original model and Robin Burfield (NHS Wales Informatics Service) for providing information on the usage of the Injectable Medicines Guide. We also thank all the NHS organisations who provided information in response to our Freedom of Information request. Matthew Jones is funded by a National Institute for Health Research (NIHR), Transitional Research Fellowship for this research project (grant number TRF-2017-10-006). Howard Thom was supported by the NIHR Biomedical Research Centre at University Hospitals Bristol and Weston NHS Foundation Trust and the University of Bristol. Margaret Watson was funded by a Health Foundation Improvement Science Fellowship. Bryony Dean Franklin is supported by the NIHR Imperial Patient Safety Translational Research Centre and the NIHR Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance at Imperial College in partnership with Public Health England (PHE).
Funders | Funder number |
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NHS Wales Informatics Service | |
University Hospitals Bristol NHS Foundation Trust | |
National Institute for Health Research | TRF-2017-10-006 |
University of Bristol | |
Public Health England |
Keywords
- Guidelines as Topic
- guidelines
- cost-effectiveness
- nurses
- Health professionals
- Injection preparation
- medicines information
- medicines-related errors
- administration, intravenous
ASJC Scopus subject areas
- Economics and Econometrics
- Health Policy
Fingerprint
Dive into the research topics of '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'. Together they form a unique fingerprint.Projects
- 1 Finished
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Can Systematic User Testing of the National NHS Injectable Medicines Guide Improve Patient Safety
Jones, M. (PI)
National Institute for Health Research
1/01/18 → 31/12/19
Project: Central government, health and local authorities
Datasets
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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"
Jones, M. (Creator), Franklin, B. D. (Creator), Raynor, D. K. (Creator), Thom, H. (Creator), Watson, M. (Creator) & Kandiyali, R. (Creator), University of Bath, 3 Aug 2021
DOI: 10.15125/BATH-00960
Dataset