ArticleClinicoEconomics and outcomes research : CEOR2023
Effectiveness of Disinfecting Caps for Intravenous Access Points in Reducing Central Line-Associated Bloodstream Infections, Clinical Utilization, and Cost of Care During COVID-19.
Article in ClinicoEconomics and outcomes research : CEOR, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed, 4 citations in OpenAlex.
- The Safety and Efficacy of Disinfection Cap Use in a Real-World Environment.Medical devices (Auckland, N.Z.) · 2026Article
- Prevention of Catheter-Related Infections and Complications: A Narrative Literature Review of Vascular Care and Maintenance.International journal of vascular medicine · 2025Review
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: Intravenous (IV) access point protectors, serving as passive disinfection devices and a cover between line accesses, are available to help reduce the risk of central line-associated bloodstream infections (CLABSIs). This low-maintenance disinfection solution is particularly valuable in situations with excessive workloads. This study examined the effect of a disinfecting cap for an IV access point on CLABSI rates, hospital length of stay, and cost of care in an inpatient setting during the coronavirus disease 2019 (COVID-19) pandemic. Methods: The study utilized data from the Premier Healthcare Database, focusing on 200,411 hospitalizations involving central venous catheters between January 2020 and September 2020. Among these cases, 7423 patients received a disinfecting cap, while 192,988 patients did not use any disinfecting caps and followed the standard practice of hub scrubbing. The two cohorts, Disinfecting Cap and No-Disinfecting Cap groups, were compared in terms of CLABSI rates, hospital length of stay (LOS), and hospitalization costs. The analysis accounted for baseline group differences and random clustering effects by employing a 34-variable propensity score and mixed-effect multiple regression, respectively. Results: The findings demonstrated a significant 73% decrease in CLABSI rates (p= 0.0013) in the Disinfecting Cap group, with an adjusted CLABSI rate of 0.3% compared to 1.1% in the No-Disinfecting Cap group. Additionally, the Disinfecting Cap group exhibited a 0.5-day reduction in hospital stay (9.2 days versus 9.7 days; p = 0.0169) and cost savings of $6703 ($35,604 versus $42,307; p = 0.0063) per hospital stay compared to the No-Disinfecting Cap group. Conclusion: This study provides real-world evidence that implementing a disinfecting cap to protect IV access points effectively reduces the risk of CLABSIs in hospitalized patients compared to standard care, ultimately optimizing the utilization of healthcare resources, particularly in situations where the healthcare system is under significant strain or overloaded.
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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.