Evidence map›Paper›PMID 28246672›Full record

ArticleApplied clinical informatics2017

Electronic Alerts Improve Immunization Rates in Two-month-old Premature Infants Hospitalized in the Neonatal Intensive Care Unit.

Kimberly D Ernst

Abstract read
In one paragraph

Article in Applied clinical informatics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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

  1. Pooled it
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  3. Trial
  4. Article
  5. Article
  6. 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

1 author.

Kimberly D ErnstKimberly D. Ernst, MD, MSMI, The University of Oklahoma Health Sciences Center, Section of Neonatal-Perinatal Medicine, 1200 Everett Drive, 7th Floor North Pavilion, Oklahoma City, OK 73104, USA, Telephone: (405) 271-5215 Fax: (405) 271-1236, E-mail: Kimberly-Ernst@ouhsc.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo determine if an electronic alert improves 2 month immunization rates in infants remaining hospitalized in the neonatal intensive care unit.

methodsInstitutional Review Board-approved retrospective chart review of 261 infants with birth weights <2 kg and still hospitalized at ≥ 58 days. Charts were reviewed between 2009 and 2013, before and after the 2011 electronic alert was instituted in the electronic medical record from days 56 to 67 to remind providers that immunizations were due. Order and administration dates of two-month vaccine components (Diphtheria, Haemophilus influenza B, Hepatitis B, Pertussis, Pneumococcal, Polio, Tetanus) were determined, and infants were considered fully immunized, partially immunized, or unimmunized by day 90 or discharge, whichever came first.

resultsAfter the alert, the timing of vaccine orders decreased from day 67 to day 61 (p<0.0001) and vaccine administration decreased from day 71 to day 64 (p<0.0001). Missing vaccine orders decreased from 14% [17/121] to 3% [4/140] (p=0.001) with missing administrations decreasing from 21% [26/121] to 4% [6/140] (p<0.0001). Fully immunized rates increased from 71% [86/121] to 94% [132/140] (p<0.0001).

conclusionsA significant improvement in immunization rates in two-month-old infants in the neonatal intensive care unit occurred by 90 days after implementing an alert in the electronic medical record.

Indexed as

Hospital Information SystemsHospitalizationFemaleHumansImmunizationInfantInfant, PrematureIntensive Care Units, NeonatalMalealertingclinical information systemselectronic health records and systemsneonatologyrequirements analysis and design

Identifiers

PMID28246672
PMCPMC5373764

What OpenQuestion holds

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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.