Evidence map›Paper›PMID 21338518›Full record

ArticleBMC medical informatics and decision making2011

Using a computerized provider order entry system to meet the unique prescribing needs of children: description of an advanced dosing model.

Jeffrey M Ferranti, Monica M Horvath, Jeanette Jansen, Patricia Schellenberger, Tres Brown, Christopher M DeRienzo, Asif Ahmad

Abstract read
In one paragraph

Article in BMC medical informatics and decision making, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
–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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Observational
  6. Association between neonatal intensive care unit medication safety practices, adverse events, and death.Journal of perinatology : official journal of the California Perinatal Association · 2021
    Article
  7. Article
  8. Review
  9. Sensitivity and specificity of dosing alerts for dosing errors among hospitalized pediatric patients.Journal of the American Medical Informatics Association : JAMIA · 2014
    Article
  10. Article
  11. Review
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

7 authors.

Jeffrey M FerrantiDuke Health Technology Solutions, Duke University Health System, Durham, NC, USA. ferra007@mc.duke.edu
Monica M Horvath
Jeanette Jansen
Patricia Schellenberger
Tres Brown
Christopher M DeRienzo
Asif Ahmad

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIt is well known that the information requirements necessary to safely treat children with therapeutic medications cannot be met with the same approaches used in adults. Over a 1-year period, Duke University Hospital engaged in the challenging task of enhancing an established computerized provider order entry (CPOE) system to address the unique medication dosing needs of pediatric patients.

methodsAn advanced dosing model (ADM) was designed to interact with our existing CPOE application to provide decision support enabling complex pediatric dose calculations based on chronological age, gestational age, weight, care area in the hospital, indication, and level of renal impairment. Given that weight is a critical component of medication dosing that may change over time, alerting logic was added to guard against erroneous entry or outdated weight information.

resultsPediatric CPOE was deployed in a staggered fashion across 6 care areas over a 14-month period. Safeguards to prevent miskeyed values became important in allowing providers the flexibility to override the ADM logic if desired. Methods to guard against over- and under-dosing were added. The modular nature of our model allows us to easily add new dosing scenarios for specialized populations as the pediatric population and formulary change over time.

conclusionsThe medical needs of pediatric patients vary greatly from those of adults, and the information systems that support those needs require tailored approaches to design and implementation. When a single CPOE system is used for both adults and pediatrics, safeguards such as redirection and suppression must be used to protect children from inappropriate adult medication dosing content. Unlike other pediatric dosing systems, our model provides active dosing assistance and dosing process management, not just static dosing advice.

Indexed as

Medical Order Entry SystemsChildDrug Therapy, Computer-AssistedHospitals, UniversityHumansMedication ErrorsMedication Systems, HospitalPharmaceutical PreparationsPharmaceutical Preparations

Identifiers

PMID21338518
PMCPMC3048480

What OpenQuestion holds

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Registered trials

None linked

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.