The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Medication Errors Observed in 36 Health Care Facilities
Abstract
BACKGROUND: Medication errors are a national concern. OBJECTIVE: To identify the prevalence of medication errors (doses administered differently than ordered). DESIGN: A prospective cohort study. SETTING: Hospitals accredited by the Joint Commission on Accreditation of Healthcare Organizations, nonaccredited hospitals, and skilled nursing facilities in Georgia and Colorado. PARTICIPANTS: A stratified random sample of 36 institutions. Twenty-six declined, with random replacement. Medication doses given (or omitted) during at least 1 medication pass during a 1- to 4-day period by nurses on high medication-volume nursing units. The target sample was 50 day-shift doses per nursing unit or until all doses for that medication pass were administered. METHODS: Medication errors were witnessed by observation, and verified by a research pharmacist (E.A.F.). Clinical significance was judged by an expert panel of physicians. MAIN OUTCOME MEASURE: Medication errors reaching patients. RESULTS: In the 36 institutions, 19% of the doses (605/3216) were in error. The most frequent errors by category were wrong time (43%), omission (30%), wrong dose (17%), and unauthorized drug (4%). Seven percent of the errors were judged potential adverse drug events. There was no significant difference between error rates in the 3 settings (P =.82) or by size (P =.39). Error rates were higher in Colorado than in Georgia (P =.04) CONCLUSIONS: Medication errors were common (nearly 1 of every 5 doses in the typical hospital and skilled nursing facility). The percentage of errors rated potentially harmful was 7%, or more than 40 per day in a typical 300-patient facility. The problem of defective medication administration systems, although varied, is widespread.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
To Err Is Human: Building a Safer Health System
(2000) · National Academies Press eBooks · doi:10.17226/9728 · Cited by 14,044
Foundations of Behavioral Research
Stockton, R., & Kerlinger, F. N. (1974) · American Educational Research Journal · doi:10.2307/1162206 · Cited by 7,347
Systems Analysis of Adverse Drug Events
Leape, L. L. (1995) · JAMA: The Journal of the American Medical Association · doi:10.1001/jama.1995.03530010049034 · Cited by 1,404
Relationship between medication errors and adverse drug events
Bates, D. W., Boyle, D. L., Vliet, M. B. V., Schneider, J., & Leape, L. (1995) · Journal of General Internal Medicine · doi:10.1007/bf02600255 · Cited by 981
Self-citationComparison of methods for detecting medication errors in 36 hospitals and skilled-nursing facilities
Flynn, E. A., Barker, K. N., Pepper, G. A., Bates, D. W., & Mikeal, R. L. (2002) · American Journal of Health-System Pharmacy · doi:10.1093/ajhp/59.5.436 · Cited by 449
Self-citationFundamentals of medication error research
Allan, E. A., & Barker, K. N. (1990) · American Journal of Health-System Pharmacy · doi:10.1093/ajhp/47.3.555 · Cited by 354
Self-citationValidity and reliability of observational methods for studying medication administration errors
Dean, B., & Barber, N. (2001) · American Journal of Health-System Pharmacy · doi:10.1093/ajhp/58.1.54 · Cited by 193
The Problems of Detecting Medication Errors in Hospitals
Barker, K. N., & McConnell, W. E. (1962) · American Journal of Health-System Pharmacy · doi:10.1093/ajhp/19.8.360 · Cited by 121
Self-citationData Collection Techniques: Observation
Barker, K. N. (1980) · American Journal of Health-System Pharmacy · doi:10.1093/ajhp/37.9.1235 · Cited by 77
Self-citationMedication errors in nursing homes and small hospitals
Barker, K. N., Mikeal, R. L., Pearson, R. E., Illig, N. A., & Morse, M. L. (1982) · American Journal of Health-System Pharmacy · doi:10.1093/ajhp/39.6.987 · Cited by 60
Self-citation
Cited by
Impact of Accreditation on the Quality of Healthcare Services: A Systematic Review of the Literature
Alkhenizan, A., & Shaw, C. (2011) · Annals of Saudi Medicine · doi:10.4103/0256-4947.83204 · Cited by 425
“In this study, 5 non-accredited hospitals achieved accreditation during the study.(19) In a large cross-sectional survey conducted in Japan over 2 consecutive years (n=638 hospitals), the overall infection control performance score was significantly associated with accreditation status.”
Kopp, B. J., Erstad, B. L., Allen, M. E., Theodorou, A. A., & Priestley, G. (2006) · Critical Care Medicine · doi:10.1097/01.ccm.0000198106.54306.d7 · Cited by 363
King, W. J., Paice, N., Rangrej, J., Forestell, G. J., & Swartz, R. (2003) · Pediatrics · doi:10.1542/peds.112.3.506 · Cited by 281
Nature of preventable adverse drug events in hospitals: a literature review
Kanjanarat, P., Winterstein, A. G., Johns, T. E., Hatton, R. C., Gonzalez-Rothi, R., & Segal, R. (2003) · American Journal of Health-System Pharmacy · doi:10.1093/ajhp/60.17.1750 · Cited by 277
The impact of hospital accreditation on the quality of healthcare: a systematic literature review
Hussein, M., Pavlova, M., Ghalwash, M., & Groot, W. (2021) · BMC Health Services Research · doi:10.1186/s12913-021-07097-6 · Cited by 239
Metadata
- Authors
- Barker, K. N., Flynn, E. A., Pepper, G. A., Bates, D. W., & Mikeal, R. L.
- Venue
- Archives of Internal Medicine
- Publisher
- American Medical Association (AMA)
- Published
- 2002-09-09
- Volume
- 162
- Issue
- 16
- Pages
- 1897
- ISSN
- 0003-9926 (ISSN-L)
- OpenAlex
- W2150546988
- Cited by
- 773
- References
- 12
- FWCI
- 40.00
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Medication Errors Observed in 36 Health Care Facilities. https://app.cochat.ai/papers/10.1001/archinte.162.16.1897
- The paper
- Barker, K. N., Flynn, E. A., Pepper, G. A., Bates, D. W., & Mikeal, R. L. (2002). Medication Errors Observed in 36 Health Care Facilities. Archives of Internal Medicine. https://doi.org/10.1001/archinte.162.16.1897
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.