The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.
Economic analysis of the prevalence and clinical and economic burden of medication error in England
Open accessAbstract
Objectives: To provide national estimates of the number and clinical and economic burden of medication errors in the National Health Service (NHS) in England. Methods: We used UK-based prevalence of medication errors (in prescribing, dispensing, administration and monitoring) in primary care, secondary care and care home settings, and associated healthcare resource use, to estimate annual number and burden of errors to the NHS. Burden (healthcare resource use and deaths) was estimated from harm associated with avoidable adverse drug events (ADEs). Results: We estimated that 237 million medication errors occur at some point in the medication process in England annually, 38.4% occurring in primary care; 72% have little/no potential for harm and 66 million are potentially clinically significant. Prescribing in primary care accounts for 34% of all potentially clinically significant errors. Definitely avoidable ADEs are estimated to cost the NHS £98 462 582 per year, consuming 181 626 bed-days, and causing/contributing to 1708 deaths. This comprises primary care ADEs leading to hospital admission (£83.7 million; causing 627 deaths), and secondary care ADEs leading to longer hospital stay (£14.8 million; causing or contributing to 1081 deaths). Conclusions: Ubiquitous medicines use in health care leads unsurprisingly to high numbers of medication errors, although most are not clinically important. There is significant uncertainty around estimates due to the assumption that avoidable ADEs correspond to medication errors, data quality, and lack of data around longer-term impacts of errors. Data linkage between errors and patient outcomes is essential to progress understanding in this area.
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Ong, J. C. L., Jin, L., Elangovan, K., Lim, G. Y. S., Lim, D. Y. Z., Sng, G. G. R., Ke, Y. H., Tung, J. Y. M., Zhong, R. J., Koh, C. M. Y., et al. (2025) · Cell Reports Medicine · doi:10.1016/j.xcrm.2025.102323 · Cited by 58
Damiani, G., Altamura, G., Zedda, M., Nurchis, M. C., Aulino, G., Heidar Alizadeh, A., Cazzato, F., Della Morte, G., Caputo, M., Grassi, S., et al. (2023) · BMJ Open · doi:10.1136/bmjopen-2022-065301 · Cited by 44
Rahman Jabin, M. S., & Hammar, T. (2022) · DIGITAL HEALTH · doi:10.1177/20552076221131139 · Cited by 32
Scott, J., Sykes, K., Waring, J., Spencer, M., Young‐Murphy, L., Mason, C., Newman, C., Brittain, K., & Dawson, P. (2025) · Journal of Advanced Nursing · doi:10.1111/jan.16264 · Cited by 12
Metadata
- Authors
- Elliott, R. A., Camacho, E., Jankovic, D., Sculpher, M. J., & Faria, R.
- Venue
- BMJ Quality & Safety
- Publisher
- BMJ
- Published
- 2020-06-11
- Volume
- 30
- Issue
- 2
- Pages
- 96-105
- ISSN
- 1475-3898 (ISSN-L)
- 2044-5415
- 2044-5423
- OpenAlex
- W3035574358
- Cited by
- 425
- References
- 26
- FWCI
- 44.71
- Type
- journal article
- Language
- en
- Open access
- green
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