ArticleJournal of advanced nursing2026
The Influence of Nurse Staffing and Workload on Medication Administration Errors: A Scoping Review.
Article in Journal of advanced nursing, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- The Influence of Nurse Staffing and Workload on Medication Administration Errors: A Scoping Review.Journal of advanced nursing · 2026Article
- "It's Not Just a System Error": A Qualitative Study of Nurses' Perspectives on Medication Safety in Saudi Hospitals.Healthcare (Basel, Switzerland) · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
aimTo summarise the type of medication administration errors associated with nurse staffing and workload, and identify how nurse staffing, workload and medication administration data were measured and captured in existing studies.
methodsA scoping review. DATA SOURCES: We conducted a literature search across four electronic databases, including Embase, CINAHL, Ovid Medline and Scopus, from inception to June 2024. The search was limited to articles published in English and primary studies examining nurse staffing, workload and medication administration errors in hospital settings.
resultsOf the 1141 articles retrieved, 36 articles met the inclusion criteria. The majority were conducted using a Cohort (n = 15) or Cross-sectional (n = 16) study design. Most studies (n = 21) used self-reported data to evaluate nurse staffing, workload and medication administration errors. We found limited studies used objective data sources, such as barcode medication administration (BCMA) systems (n = 5) and electronic staffing systems (n = 5), to assess the impact of staffing on medication errors involving the administration of time-critical medications. There was a fair amount of heterogeneity in how nursing workload and medication administration errors were measured and analysed, complicating nurse leaders' ability to allocate staffing resources that meet the patient's needs.
conclusionThis review found a heavy reliance on self-reported data across different study designs. While self-reported data offer valuable insights, the emerging use of objective data sources, such as BCMA, can minimise bias and capture more nuances in administration errors during high-demand periods. IMPACT: The review highlights the emerging use of real-world data to examine the influence of nurse staffing and workload on medication administration errors. As nursing care becomes increasingly complex, future studies utilising subjective and objective data sources can assist nurse leaders in making informed, data-driven staffing decisions to reduce medication errors. REPORTING
methodThe review followed the PRISMA-Scr reporting guidelines. PATIENT OR PUBLIC CONTRIBUTION: No patient or public contribution.
Indexed as
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.