Cited by 16Nursing education and managementSafe Handling of Antineoplastic DrugsElectronic Health Records Systems

Nurses´ perceptions of automated dispensing cabinets – an observational study and an online survey

Open access
Metsämuuronen, Riikka, Kokki, Hannu, Naaranlahti, Toivo, Kurttila, Minna, Heikkilä, Reeta·2020·BMC Nursing

Abstract

Background: Thirty-two automated dispensing cabinets (ADCs) were introduced in May 2015 in Kuopio University Hospital, Finland. These medication distribution systems represent relatively new technology in Europe and are aimed at rationalising the medication process and improving patient safety. Nurses are the end-users of ADCs, and it is therefore important to survey their perceptions of ADCs. Our aim was to investigate nurses’ perceptions of ADCs and the impacts of ADCs on nurses’ work. Methods: The study was conducted in the Anaesthesia and Surgical Unit (OR) and Intensive Care Unit (ICU), of a tertiary care hospital, in Finland. We used two different research methods: observation and a survey. The observational study consisted of two 5-day observation periods in both units, one before (2014) and the other after (2016) the introduction of ADCs. An online questionnaire was distributed to 346 nurses in April 2017. The data were analysed using descriptive statistics including frequencies and percentages and the Chi-Square test. Results: The majority (n = 68) of the 81 respondents were satisfied with ADCs. Attitudes to ADCs were more positive in the ICU than in the OR. Nearly 80% of the nurses in the ICU and 42% in the OR found that ADCs make their work easier. The observational study revealed that in the OR, time spent on dispensing and preparing medications decreased on average by 32 min per 8-h shift and more time was spent on direct patient care activities. The need to collect medicines from outside the operating theatre during an operation was less after the introduction of ADCs than before that. Some resistance to change was observed in the OR in the form of non-compliance with some instructions; nurses took medicines from ADCs when someone else was logged in and the barcode was not always used. The results of the survey support these findings. Conclusions: Overall, nurses were satisfied with ADCs and stated that they make their work easier. In the ICU, nurses were more satisfied with ADCs and complied with the instructions better than the nurses in the OR. One reason for that can be the more extensive pilot period in the ICU.

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 · 10.1186/s12912-020-00420-2

Cites

2 of 2 references verified0 citation errors · 0 not checkable

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

Flagged first, then by citations

Research works printed but not linked: 21

  1. [1]Harolds JA, Harolds LB. Quality and safety in health care, part X. other technology to reduce medication errors. Clin Nucl Med. 2016. 10.1097/RLU.0000000000001173. 26914567 · DOI
  2. [2]Borel JM Rascati KL Effect of an automated, nursing unit-based drug-dispensing device on medication errors Am J Health-Syst Pharm 1995 52 1875 1879 10.1093/ajhp/52.17.1875 8528848 · DOI
  3. [3]Cottney A. Improving the safety and efficiency of nurse medication rounds through the introduction of an automated dispensing cabinet. BMJ Qual Improv Rep. 2014. 10.1136/bmjquality.u204237.w1843. PMC4645698 26734256 · DOI · Paper page
  4. [4]Fanning L, Jones N, Manias E. Impact of automated dispensing cabinets on medication selection and preparation error rates in an emergency department: a prospective and direct observational before-and-after study. J Eval Clin Pract. 2016. 10.1111/jep.12445. 26346850 · DOI
  5. [5]McCarthy BC Jr, Ferker M. Implementation and optimization of automated dispensing cabinet technology. Am J Health-Syst Pharm. 2016. 10.2146/ajhp150531. 27646814 · DOI · Paper page
  6. [7]Lorenzi NM Riley RT Managing change: an overview J Am Med Inform Assoc 2000 7 116 124 10.1136/jamia.2000.0070116 10730594 PMC61464 · DOI
  7. [8]Brown LB Medication administration in the operating room: new standards and recommendations AANA J 2014 82 465 469 25842645
  8. [9]Rochais E, Atkinson S, Guilbeault M, Bussières JF. Nursing perception of the impact of automated dispensing cabinets on patient safety and ergonomics in a teaching health care center. J Pharm Pract. 2014. 10.1177/0897190013507082. 24128784 · DOI
  9. [10]Zaidan M, Rustom F, Kassem N, Al Yafei S, Peters L, Ibrahim MI. Nurses' perceptions of and satisfaction with the use of automated dispensing cabinets at the heart and cancer centers in Qatar: a cross-sectional study. BMC Nurs. 2016. 10.1186/s12912-015-0121-7. PMC4712505 26770071 · DOI
  10. [12]Ebright PR Patterson ES Chalko BA Render ML Understanding the complexity of registered nurse work in acute care settings J Nurs Adm 2003 33 630 638 10.1097/00005110-200312000-00004 14665827 · DOI
  11. [13]Fung EY Leung B Do automated dispensing machines improve patient safety? The “pro” side Can J Hosp Pharm 2009 62 516 517 22478942 PMC2827025
  12. [15]San TH Lin SK Fai CM Factors affecting registered nurses' use of medication administration technology in acute care settings: a systematic review JBI Libr Syst Rev 2012 10 471 512 10.11124/jbisrir-2012-55 27820547 · DOI
  13. [16]Campbell DA Jr, Henderson WG, Englesbe MJ, Hall BL, O'Reilly M, Bratzler D, et al. Surgical site infection prevention: the importance of operative duration and blood transfusion--results of the first American College of Surgeons-National Surgical Quality Improvement Program Best Practices Initiative. J Am Coll Surg. 2008. 10.1016/j.jamcollsurg.2008.08.018. 19183526 · DOI
  14. [17]Chapuis C, Roustit M, Bal G, Schwebel C, Pansu P, David-Tchouda S, et al. Automated drug dispensing system reduces medication errors in an intensive care setting. Crit Care Med. 2010. 10.1097/CCM.0b013e3181f8569b. 20838333 · DOI
  15. [18]Cousein E, Mareville J, Lerooy A, Caillau A, Labreuche J, Dambre D, et al. Effect of automated drug distribution systems on medication error rates in a short-stay geriatric unit. J Eval Clin Pract. 2014. 10.1111/jep.12202. PMC4524418 24917185 · DOI · Paper page
  16. [19]Ahtiainen H Kallio M Airaksinen M Holmström A-R Safety, time and cost evaluation of automated and semi-automated drug distribution systems in hospitals: a systematic review Eur J Hosp Pharm 2019 0 1 10 PMC7447254 32839256
  17. [20]Shah K Lo C Babich M Tsao NW Bansback NJ Bar code medication administration technology: a systematic review of impact on patient safety when used with computerized prescriber order entry and automated dispensing devices Can J Hosp Pharm 2016 69 394 402 27826157 PMC5085324
  18. [21]Austin JA Smith IR Tariq A The impact of closed-loop electronic medication management on time to first dose: a comparative study between paper and digital hospital environments Int J Pharm Pract 2018 26 526 533 10.1111/ijpp.12432 29356171 · DOI
  19. [22]Baker L. Observation: a complex research method. Libr Trends. 2006. 10.1353/lib.2006.0045. · DOI
  20. [23]Ampt A, Westbrook J, Creswick N, Mallock N. A comparison of self-reported and observational work sampling techniques for measuring time in nursing tasks. J Health Serv Res Policy. 2007. 10.1258/135581907779497576. 17244393 · DOI
  21. [25]VanGeest J, Johnson TP. Surveying nurses: identifying strategies to improve participation. Eval Health Prof. 2011. 10.1177/0163278711399572. 21454329 · DOI

Cited by

Sorted by citations

Authors
Metsämuuronen, R., Kokki, H., Naaranlahti, T., Kurttila, M., & Heikkilä, R.
Affiliations
  • University of Eastern Finland (FI)
  • Kuopio University Hospital (FI)
Corresponding author
Metsämuuronen, Riikka
Venue
BMC Nursing
Published
2020-04-19
Volume
19
Issue
1
Pages
27-27
ISSN
1472-6955 (ISSN-L)
OpenAlex
W3019200128
Cited by
16
References
2
Citations by year
2026: 1 · 2025: 5 · 2024: 5 · 2023: 1 · 2022: 1 · 2021: 2 · 2020: 1
FWCI
1.64
Type
journal article
Language
en
Open access
Locations
  • BMC Nursing (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
  • the Finnish Cultural Foundation (00160631)
  • the Olvi foundation, Finland (201610270)
Topics
  • Health Sciences › Nursing › Research and Theory › Nursing education and management
  • Health Sciences › Health Professions › Occupational Therapy › Safe Handling of Antineoplastic Drugs
  • Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
Keywords
automated dispensing cabinets, nurses' perceptions, medication dispensing, drug safety, operating room nursing, critical care nursing, resistance to change, technology adoption, patient safety, nursing workload

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