Evidence map›Paper›PMID 38444409›Full record

ArticleFrontiers in medicine2024

A comparative analysis of intravenous infusion methods for low-resource environments.

Oluwakemi Tomobi, Samantha Avoian, Ifeoma Ekwere, Shivani Waghmare, Fatima Diaban, Gabrielle Davis, Yacine Sy, Oluchi Ogbonna, Kevin Streete, Ebenezer Aryee and 2 more

Abstract read
In one paragraph

Article in Frontiers in medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Oluwakemi TomobiDepartment of Anesthesiology, West Virginia University, Morgantown, WV, United States.
Samantha AvoianUniversity of Texas at Southwestern, Dallas, TX, United States.
Ifeoma EkwereDepartment of Anesthesiology & Critical Care Medicine, Johns Hopkins School of Medicine, Baltimore, MD, United States.
Shivani WaghmareHoward University College of Medicine, Washington, DC, United States.
Fatima DiabanAdvocate Aurora Health, Downers Grove, IL, United States.
Gabrielle DavisHoward University College of Medicine, Washington, DC, United States.
Yacine SyJohns Hopkins University School of Medicine, Baltimore, MD, United States.
Oluchi OgbonnaUniversity of Maryland School of Medicine, Baltimore, MD, United States.
Kevin StreeteDepartment of Anesthesiology & Critical Care Medicine, Johns Hopkins School of Medicine, Baltimore, MD, United States.
Ebenezer AryeeJohns Hopkins University School of Medicine, Baltimore, MD, United States.
Vasanthini KulasinghamDepartment of Anesthesiology & Critical Care Medicine, Johns Hopkins School of Medicine, Baltimore, MD, United States.
John B SampsonDepartment of Anesthesiology & Critical Care Medicine, Johns Hopkins School of Medicine, Baltimore, MD, United States.

Funding

QAQC Johns Hopkins Institute for Clinical and Translational ResearchUL1TR003098 · NCATS · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2019 to 2023
$57.7M
NCATS NIH HHS UL1 TR003098
6 · The paper itself

Abstract

Introduction: Intravenous (IV) therapy is a crucial aspect of care for the critically ill patient. Barriers to IV infusion pumps in low-resource settings include high costs, lack of access to electricity, and insufficient technical support. Inaccuracy of traditional drop-counting practices places patients at risk. By conducting a comparative assessment of IV infusion methods, we analyzed the efficacy of different devices and identified one that most effectively bridges the gap between accuracy, cost, and electricity reliance in low-resource environments. Methods: In this prospective mixed methods study, nurses, residents, and medical students used drop counting, a manual flow regulator, an infusion pump, a DripAssist, and a DripAssist with manual flow regulator to collect normal saline at goal rates of 240, 120, and 60 mL/h. Participants' station setup time was recorded, and the amount of fluid collected in 10 min was recorded (in milliliters). Participants then filled out a post-trial survey to rate each method (on a scale of 1 to 5) in terms of understandability, time consumption, and operability. Cost-effectiveness for use in low-resource settings was also evaluated. Results: The manual flow regulator had the fastest setup time, was the most cost effective, and was rated as the least time consuming to use and the easiest to understand and operate. In contrast, the combination of the DripAssist and manual flow regulator was the most time consuming to use and the hardest to understand and operate. Conclusion: The manual flow regulator alone was the least time consuming and easiest to operate. The DripAssist/Manual flow regulator combination increases accuracy, but this combination was the most difficult to operate. In addition, the manual flow regulator was the most cost-effective. Healthcare providers can adapt these devices to their practice environments and improve the safety of rate-sensitive IV medications without significant strain on electricity, time, or personnel resources.

Indexed as

cost-effectiveness analysiscritically illglobal health disparitiesintravenous infusion therapylow-resource settingsedation

Identifiers

PMID38444409
PMCPMC10912611

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Registered trials

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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.