Abstract
This experimental pilot study was aimed at the development of a quality standard to facilitate medication administration error detection, prevention, and reporting among pre-licensure baccalaureate nursing students. Based on both the literature review and peer review, sequential steps of the medication administration process were identified, bundled, and anchored in the mnemonic, C-MATCH-REASON, to form a new inquiry-based paper checklist that pairs clinical reasoning with rule adherence. The Checklist (independent variable), for nursing student utilization, was accompanied by an error tracking instrument (Observation Form) for nursing faculty (raters) to measure medication errors committed, recovered, and reported. Reason's (1990) error theory was applied to measure errors (dependent variable).
Sigma Membership
Delta Pi
Type
Dissertation
Format Type
Text-based Document
Study Design/Type
Quasi-Experimental Study, Other
Research Approach
Quantitative Research
Keywords:
Baccalaureate, Nursing Students, Checklists, Medication Administration, Errors
Advisor
Kathleen Kelly
Second Advisor
Glenda B. Kelman
Third Advisor
Rosemarie R. Van Patten
Fourth Advisor
Patricia A. O'Connor
Degree
Doctoral-Other
Degree Grantor
The Sage Colleges
Degree Year
2020
Recommended Citation
Agoglia, Mary, "Investigation of a checklist to reduce medication errors among pre-licensure baccalaureate nursing students" (2021). Dissertations. 1496.
https://www.sigmarepository.org/dissertations/1496
Rights Holder
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All permission requests should be directed accordingly and not to the Sigma Repository.
All submitting authors or publishers have affirmed that when using material in their work where they do not own copyright, they have obtained permission of the copyright holder prior to submission and the rights holder has been acknowledged as necessary.
Review Type
None: Degree-based Submission
Acquisition
Proxy-submission
Date of Issue
2021-08-03
Full Text of Presentation
wf_yes
Description
This dissertation has also been disseminated through the ProQuest Dissertations and Theses database. Dissertation/thesis number: 27995676; ProQuest document ID: 2427333252. The author still retains copyright.