Evidence map›Paper›PMID 18436905›Full record

Trial reportJournal of the American Medical Informatics Association : JAMIA

A randomized trial of electronic clinical reminders to improve medication laboratory monitoring.

Michael E Matheny, Thomas D Sequist, Andrew C Seger, Julie M Fiskio, Michael Sperling, Don Bugbee, David W Bates, Tejal K Gandhi

Abstract 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. Cited by 22 papers, 11 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 11 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

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

  1. Pooled it
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  3. Computerized advice on drug dosage to improve prescribing practice.The Cochrane database of systematic reviews · 2013
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  12. Impact of non-interruptive medication laboratory monitoring alerts in ambulatory care.Journal of the American Medical Informatics Association : JAMIA
    Trial
  13. Review
  14. Article
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  17. Analysis of clinical decision support system malfunctions: a case series and survey.Journal of the American Medical Informatics Association : JAMIA · 2016
    Article
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  19. From evidence to best practice in laboratory medicine.The Clinical biochemist. Reviews · 2013
    Review
  20. 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

8 authors.

Michael E MathenyDivision of General Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Thomas D Sequist
Andrew C Seger
Julie M Fiskio
Michael Sperling
Don Bugbee
David W Bates
Tejal K Gandhi

Funding

RESEARCH TRAINING-MEDICAL INFORMATICS 90T15LM007092 · NLM · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI Nils Gehlenborg · 1992 to 2026
$32.8M
IMPROVING QUALITY WITH OUTPATIENT DECISION SUPPORTU18HS011046 · AHRQ · BRIGHAM AND WOMEN'S HOSPITAL · PI BATES, DAVID W · 2000 to 2002
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AHRQ HHS 5-U18-HS-011046AHRQ HHS U18 HS011046NLM NIH HHS 1-T15-LM-07092NLM NIH HHS T15 LM007092
6 · The paper itself

Abstract

objectiveRecommendations for routine laboratory monitoring to reduce the risk of adverse medication events are not consistently followed. We evaluated the impact of electronic reminders delivered to primary care physicians on rates of appropriate routine medication laboratory monitoring.

designWe enrolled 303 primary care physicians caring for 1,922 patients across 20 ambulatory clinics that had at least one overdue routine laboratory test for a given medication between January and June 2004. Clinics were randomized so that physicians received either usual care or electronic reminders at the time of office visits focused on potassium, creatinine, liver function, thyroid function, and therapeutic drug levels. MEASUREMENTS: Primary outcomes were the receipt of recommended laboratory monitoring within 14 days following an outpatient clinic visit. The effect of the intervention was assessed for each reminder after adjusting for clustering within clinics, as well as patient and provider characteristics.

resultsMedication-laboratory monitoring non-compliance ranged from 1.6% (potassium monitoring with potassium-supplement use) to 6.3% (liver function monitoring with HMG CoA Reductase Inhibitor use). Rates of appropriate laboratory monitoring following an outpatient visit ranged from 14% (therapeutic drug levels) to 64% (potassium monitoring with potassium-sparing diuretic use). Reminders for appropriate laboratory monitoring had no impact on rates of receiving appropriate testing for creatinine, potassium, liver function, renal function, or therapeutic drug level monitoring.

conclusionWe identified high rates of appropriate laboratory monitoring, and electronic reminders did not significantly improve these monitoring rates. Future studies should focus on settings with lower baseline adherence rates and alternate drug-laboratory combinations.

Indexed as

Reminder SystemsClinical Laboratory TechniquesDrug MonitoringDrug-Related Side Effects and Adverse ReactionsFemaleGuideline AdherenceHumansMaleMedical Records Systems, ComputerizedMiddle AgedPractice Guidelines as Topic

Identifiers

PMID18436905
PMCPMC2442256

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.