Cited by 15Patient Safety and Medication ErrorsPharmacy and Medical PracticesSafe Handling of Antineoplastic Drugs

Automatic dispensing cabinets and governance of controlled drugs: an exploratory study in an intensive care unit

Open access
Lichtner, Valentina, Prgomet, Mirela, Gates, Peter, Franklin, Bryony Dean·2023·European Journal of Hospital Pharmacy

Abstract

BACKGROUND: Governance of controlled drugs (CDs) in hospitals is resource intensive but important for patient safety and policy compliance. OBJECTIVES: To explore whether and how storing CDs in an automated dispensing cabinet (ADC) in a children's hospital intensive care unit (ICU) contributes to the effectiveness and efficiency of CD governance. METHODS: We conducted a mixed-methods exploratory study, comprising observations, interviews and audits, 3 months after ADC implementation. We observed 54 hours of medications activities in the ICU medication room (with 42 hours of timed data); interviewed nurses (n=19), management (n=1) and pharmacy staff (n=3); reviewed 6 months of ICU incident reports pertaining to CD governance; audited 6 months of CD register data and extracted logs of all ADC transactions for the 3 months following implementation. Data analysis focused on four main CD governance activities: safekeeping/controlling access, documenting use, monitoring, and reporting/investigating. RESULTS: Nurses and pharmacists perceived spending less time on CD governance tasks with the ADC. The ADC supported CD governance through automated documentation of CD transactions; 'blind counts'; automated count discrepancy checks; electronic alerts and reporting functionalities. It changed quality and distribution of governance tasks, such as removing the requirement for 'nurses with keys' to access CDs, and allowing pharmacists to generate reports remotely, rather than reviewing registers on the ward. For CDs in the ADC, auditing and monitoring appeared to be ongoing rather than periodic. Such changes appeared to create positive reinforcing loops. However, the ADC also created challenges for CD governance. Most importantly, it was not suitable for all CDs, leading to workarounds and parallel use of a safe plus paper registers. CONCLUSIONS: ADCs can significantly alter CDs governance in clinical areas. Effects of an ADC on efficiency and effectiveness of governance tasks appear to be complex, going beyond simple time savings or more stringent controls.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1136/ejhpharm-2020-002552

Cites

Statistics

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.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

No references could be resolved yet.

Research works printed but not linked: 22

  1. [1]Alroy-Preis S, Daly ER, Adamski C, et al. Large outbreak of hepatitis C virus associated with drug diversion by a healthcare technician. Clin Infect Dis 2018; 67: 845– 53. 10.1093/cid/ciy193 29767683 · DOI
  2. [2]Hellinger WC, Bacalis LP, Kay RS, et al. Health care-associated hepatitis C virus infections attributed to narcotic diversion. Ann Intern Med 2012; 156: 477– 83. 10.7326/0003-4819-156-7-201204030-00002 22473434 · DOI
  3. [3]Paparella SF. A tale of waste and loss: lessons learned. J Emerg Nurs 2016; 42: 352– 4. 10.1016/j.jen.2016.03.025 27130188 · DOI
  4. [5]Brummond PW, Chen DF, Churchill WW, et al. ASHP guidelines on preventing diversion of controlled substances. Am J Health Syst Pharm 2017; 74: 325– 48. 10.2146/ajhp160919 28052859 · DOI
  5. [7]Sandbrink F, Uppal R. The time for opioid stewardship is now. The Joint Commission Journal on Quality and Patient Safety 2019; 45: 1– 2. 10.1016/j.jcjq.2018.10.004 30522832 · DOI
  6. [9]Mounsey A, Franklin B, Langfield B. Automated CD management-Its introduction in a UK Hospital pharmacy. Hospital Pharmacist 2008; 15: 424– 8.
  7. [11]Krzyżaniak N, Pawłowska I, Bajorek B. Review of drug utilization patterns in NICUs worldwide. J Clin Pharm Ther 2016; 41: 612– 20. 10.1111/jcpt.12440 27578606 · DOI
  8. [12]Epstein RH, Dexter F, Gratch DM, et al. Controlled substance reconciliation accuracy improvement using near real-time drug transaction capture from automated dispensing cabinets. Anesth Analg 2016; 122: 1841– 55. 10.1213/ANE.0000000000001289 27111643 · DOI
  9. [13]Hendarto A, Harding AM, Kant JA, et al. Misappropriation of medications and equipment in the emergency department. Australas Emerg Care 2019; 22: 92– 6. 10.1016/j.auec.2019.01.005 31042528 · DOI
  10. [14]Batson S, Herranz A, Rohrbach N, et al. Automation of in-hospital pharmacy dispensing: a systematic review. Eur J Hosp Pharm 2021; 28: 58– 64. 10.1136/ejhpharm-2019-002081 32434785 PMC7907692 · DOI · Paper page
  11. [15]Tsao NW, Lo C, Babich M, et al. Decentralized automated dispensing devices: systematic review of clinical and economic impacts in hospitals. Can J Hosp Pharm 2014; 67: 138– 48. 10.4212/cjhp.v67i2.1343 24799724 PMC4006759 · DOI · Paper page
  12. [16]Boyd A, Chaffee B. Critical evaluation of pharmacy automation and robotic systems: a call to action. Hospital Pharmacy 2018. PMC6333949 30718928
  13. [17]Zheng WY, Lichtner V, Van Dort BA, et al. The impact of introducing automated dispensing cabinets, barcode medication administration, and closed-loop electronic medication management systems on work processes and safety of controlled medications in hospitals: a systematic review. Res Social Adm Pharm 2021; 17: 832– 41. 10.1016/j.sapharm.2020.08.001 32891535 · DOI
  14. [18]Rochais E, Atkinson S, Guilbeault M, et al. Nursing perception of the impact of automated dispensing cabinets on patient safety and ergonomics in a teaching health care center. J Pharm Pract 2014; 27: 150– 7. 10.1177/0897190013507082 24128784 · DOI
  15. [19]Roman C, Poole S, Walker C, et al. A 'time and motion' evaluation of automated dispensing machines in the emergency department. Australas Emerg Nurs J 2016; 19: 112– 7. 10.1016/j.aenj.2016.01.004 26987705 · DOI · Paper page
  16. [20]Epstein RH, Gratch DM, McNulty S, et al. Validation of a system to detect scheduled drug diversion by anesthesia care providers. Anesth Analg 2011; 113: 160– 4. 10.1213/ANE.0b013e31821c0fce 21519052 · DOI
  17. [21]Brenn BR, Kim MA, Hilmas E. Development of a computerized monitoring program to identify narcotic diversion in a pediatric anesthesia practice. Am J Health Syst Pharm 2015; 72: 1365– 72. 10.2146/ajhp140691 26246293 · DOI
  18. [22]Anyanwu C, Egwim O. The prevalence and determinants of controlled substance discrepancies in a level I trauma Hospital. Am Health Drug Benefits 2016; 9: 128– 33. 27606038 PMC5004809
  19. [27]Schwarz HO, Brodowy BA. Implementation and evaluation of an automated dispensing system. Am J Health Syst Pharm 1995; 52: 823– 8. 10.1093/ajhp/52.8.823 7634117 · DOI
  20. [28]Vikkelsø S. Subtle redistribution of work, attention and risks: electronic patient records and organisational consequences. Scandinavian Journal of Information Systems 2005; 17: 10.
  21. [29]Poissant L, Pereira J, Tamblyn R, et al. The impact of electronic health records on time efficiency of physicians and nurses: a systematic review. J Am Med Inform Assoc 2005; 12: 505– 16. 10.1197/jamia.M1700 15905487 PMC1205599 · DOI · Paper page
  22. [30]Flaherty MG. A watched pot: how we experience time. NYU Press, 1999.

Cited by

Sorted by citations

Authors
Lichtner, V., Prgomet, M., Gates, P., & Franklin, B. D.
Affiliations
  • University of Leeds (GB)
  • Macquarie University (AU)
  • Imperial College Healthcare NHS Trust (GB)
Corresponding author
Lichtner, Valentina
Venue
European Journal of Hospital Pharmacy
Publisher
BMJ
Published
2021-05-11
Volume
30
Issue
1
Pages
17-23
ISSN
  • 2047-9956 (ISSN-L)
  • 2047-9964
OpenAlex
W3162284770
Cited by
15
References
0
Citations by year
2026: 4 · 2025: 5 · 2024: 2 · 2023: 1 · 2022: 3
FWCI
1.83
Type
journal article
Language
en
Open access
Locations
  • European Journal of Hospital Pharmacy (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Research Explorer (The University of Manchester) (publishedVersion, other-oa)
  • White Rose Research Online (University of Leeds, The University of Sheffield, University of York) (acceptedVersion)
  • UCL Discovery (University College London) (submittedVersion)
Funders
  • National Health and Medical Research Council (APP1094878: 2015-2020)
  • H2020 Marie Skłodowska-Curie Actions (740131)
Topics
  • Health Sciences › Health Professions › Emergency Medical Services › Patient Safety and Medication Errors
  • Life Sciences › Pharmacology, Toxicology and Pharmaceutics › Pharmacology › Pharmacy and Medical Practices
  • Health Sciences › Health Professions › Occupational Therapy › Safe Handling of Antineoplastic Drugs
Keywords
controlled substances, automated dispensing cabinets, intensive care unit, children's hospitals, drug safety, access control, medication documentation, electronic alerts, workarounds
MeSH terms
Child, Hospitals, Humans, Intensive Care Units, Medication Systems, Hospital, Pharmacy Service, Hospital, Patient Safety

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