Projects per year
Abstract
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 United Kingdom-based prevalence of medication errors (in prescribing, dispensing, administration and monitoring) in primary care, secondary care and nursing home settings, and associated healthcare resource use, to estimate annual number and burden of errors to the NHS. Burden (health care 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, 71% 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, causing/contributing to 1,708 deaths. This comprises primary care ADEs leading to a hospital admission (£83.7 million; causing 627 deaths), and secondary care ADEs leading to a longer hospital stay (£14.8 million; causing 85 deaths; contributing to 1,081 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.
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 United Kingdom-based prevalence of medication errors (in prescribing, dispensing, administration and monitoring) in primary care, secondary care and nursing home settings, and associated healthcare resource use, to estimate annual number and burden of errors to the NHS. Burden (health care 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, 71% 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, causing/contributing to 1,708 deaths. This comprises primary care ADEs leading to a hospital admission (£83.7 million; causing 627 deaths), and secondary care ADEs leading to a longer hospital stay (£14.8 million; causing 85 deaths; contributing to 1,081 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.
| Original language | English |
|---|---|
| Pages (from-to) | 1-10 |
| Number of pages | 10 |
| Journal | BMJ Quality & Safety |
| Early online date | 11 Jun 2020 |
| DOIs | |
| Publication status | E-pub ahead of print - 11 Jun 2020 |
Bibliographical note
© Author(s) (or their employer(s)) 2020. This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details.Projects
- 1 Finished
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DoH PRP PRU: EEPRU - Economic Evaluation of Health Care Interventions
Sculpher, M. (Principal investigator), Claxton, K. P. (Co-investigator), Palmer, S. J. (Co-investigator), Palmer, S. J. (Co-investigator), Rice, N. (Co-investigator) & Weatherly, H. L. A. (Co-investigator)
1/04/10 → 31/12/24
Project: Research project (funded) › Research