Evidence map›Paper›PMID 17460134›Full record

Trial reportJournal of the American Medical Informatics Association : JAMIA

The utility of adding retrospective medication profiling to computerized provider order entry in an ambulatory care population.

Peter A Glassman, Pamela Belperio, Andrew Lanto, Barbara Simon, Robert Valuck, Jeffrey Sayers, Martin Lee

Registry-linked trialAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of the American Medical Informatics Association : JAMIA. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00013143 (Patient Profiling and Provider Feedback to Reduce Adverse Drug Events), which is not on this map. Cited by 11 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 4 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.

NCT00013143 nacompletednot on this map

Patient Profiling and Provider Feedback to Reduce Adverse Drug Events

TypeinterventionalSponsorUS Department of Veterans AffairsRan2001 to 2003Enrolled1,200ConditionsAdverse Drug EventsArmsPatient risk profiling (potential ADEs) w/provider feedback
3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Effects of health information technology on patient outcomes: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2016
    Pooled it
  4. Pooled it
  5. Article
  6. Review
  7. Medication Use Among Patients Reporting Xerostomia of an Academic Dental Clinic.The Journal of pharmacy technology : jPT : official publication of the Association of Pharmacy Technicians · 2022
    Article
  8. Article
  9. Article
  10. Observational
  11. The use of count data models in biomedical informatics evaluation research.Journal of the American Medical Informatics Association : JAMIA
    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

7 authors.

Peter A GlassmanDivision of General Internal Medicine (111G), VA Greater Los Angeles Healthcare System, West Los Angeles Campus, 11301 Wilshire Blvd, Los Angeles, CA 90073, USA. Peter.Glassman@va.gov
Pamela Belperio
Andrew Lanto
Barbara Simon
Robert Valuck
Jeffrey Sayers
Martin Lee

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe assessed whether medication safety improved when a medication profiling program was added to a computerized provider order entry system.

designBetween June 2001 and January 2002 we profiled outpatients with potential prescribing errors using computerized retrospective drug utilization software. We focused primarily on drug interactions. Patients were randomly assigned either to Provider Feedback or to Usual Care. Subsequent adverse drug event (ADE) incidence and other outcomes, including ADE preventability and severity, occurring up to 1 year following the last profiling date were evaluated retrospectively by a pharmacist blinded to patient assignment. MEASUREMENTS: Data were abstracted using a study-designed instrument. An ADE was defined by an Adverse Drug Reaction Probability scale score of 1 or more. Statistical analyses included negative binomial regression for comparing ADE incidence.

resultsOf 913 patients in the analytic sample, 371 patients (41%) had one or more ADEs. Incidence, by individual, was not significantly different between Usual Care and Provider Feedback groups (37% vs. 45%; p = 0.06; Coefficient, 0.19; 95% CI: -0.008, 0.390). ADE severity was also similar. For example, 51% of ADEs in the Usual Care and 58% in the Provider Feedback groups involved symptoms that were not serious (95% CI for the difference, -15%, 2%). Finally, ADE preventability did not differ. For example, 16% in the Usual Care group and 17% in the Provider Feedback group had an associated warning (95% CI for the difference, -7 to 5%; p = 0.79).

conclusionMedications safety did not improve with the addition of a medication profiling program to an electronic prescribing system.

Indexed as

Drug-Related Side Effects and Adverse ReactionsDrug Therapy, Computer-AssistedMedical Order Entry SystemsAmbulatory Care Information SystemsDecision Support Systems, ClinicalDrug InteractionsHumansMedication ErrorsMedication SystemsReminder Systems

Identifiers

PMID17460134
PMCPMC2244903

What OpenQuestion holds

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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.