Evidence map›Paper›PMID 29331256›Full record

ArticleInternational journal of medical informatics2018

Measuring non-administration of ordered medications in the pediatric inpatient setting.

Haresh L Bhatia, Neal R Patel, Catherine H Ivory, Phillip W Stewart, Kim M Unertl, Christoph U Lehmann

Abstract read
In one paragraph

Article in International journal of medical informatics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Haresh L BhatiaDept. of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, TN, USA. Electronic address: vrbhatias@gmail.com.
Neal R PatelDept. of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, TN, USA; Department of Pediatrics, Vanderbilt University School of Medicine, Nashville, TN, USA; Informatics Center, Vanderbilt University School of Medicine, Nashville, TN, USA.
Catherine H IvoryVanderbilt School of Nursing, Nashville, TN, USA.
Phillip W StewartHealth IT at Vanderbilt University Medical Center, Nashville, TN, USA.
Kim M UnertlDept. of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, TN, USA.
Christoph U LehmannDept. of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, TN, USA; Department of Pediatrics, Vanderbilt University School of Medicine, Nashville, TN, USA.

Funding

Vanderbilt Biomedical Informatics Training ProgramT15LM007450 · NLM · VANDERBILT UNIVERSITY · PI Jessica S. Ancker, Bradley A. Malin · 2002 to 2026
$19.7M
NLM NIH HHS T15 LM007450
6 · The paper itself

Abstract

objectiveMedication compliance in inpatient settings shows some significant gaps for adult patients. In pediatric settings prescribing and other administration errors have been studied but missed doses have not been specifically studied in the pediatric inpatient setting. We intended to apply health information technology and data processing methods to study the medication compliance for pediatric patients at our institution. STUDY

designWe collected medication ordering, dispensing, and administration data spanning 42 months (7/1/2010 through 12/31/2013) for pediatric inpatients admitted to a major tertiary pediatric hospital. We analyzed the orders for which either the corresponding administration record was missing or the records indicated non-administration.

resultsThere were only 596 medication orders without corresponding administration records, accounting for less than 0.05% of 1.6 Million orders for 56,000 patients. There were 40,999 orders with corresponding administration records indicating non-administration (or less than 3% of all orders). Overall order compliance of the nursing staff was 97.35%, with another 2.6% of orders having a documented reason for non-administration The top two medication classes comprising the missed and non-administered orders were "Alimentary tract and metabolism drugs" and "Nervous system drugs".

conclusionMeasurement of medication compliance is an important quality measure of patient safety and quality of care. Our study found a small proportion of non-administered medication orders and discovered corresponding reasons illustrating how health information technology can help to measure the quality of the medication process from ordering and dispensing to administration at a major healthcare institution.

Indexed as

Patient ComplianceAdolescentAdultChildChild, PreschoolDrug Administration ScheduleFemaleHumansInfantInfant, NewbornInpatientsMaleMedication Systems, HospitalPharmaceutical PreparationsYoung AdultPharmaceutical PreparationsHealth information technologyHospital medication systemsInpatientsMedication compliancePediatrics

Identifiers

PMID29331256
PMCPMC5769159

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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.