Evidence map›Paper›PMID 22195194›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2011

Variability in drug formularies and implications in decision support.

Matthew J Stephens, John T Finnell, Linas Simonaitis, J Marc Overhage

Abstract read
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

4 authors.

Matthew J StephensRegenstrief Institute, Indianapolis, IN, USA.
John T Finnell
Linas Simonaitis
J Marc Overhage

Funding

REGENSTRIEF MEDICAL INFORMATICS RESEARCH FELLOWSHIPST15LM007117 · NLM · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI FINNELL, JOHN T · 1997 to 2011
$5.0M
NLM NIH HHS 5T 15 LM007117-14
6 · The paper itself

Abstract

Formularies are highly variable, which limits physicians ability to prescribe cost effective medications for their patients. In this study we explore the composition of 3,346 formularies in terms of outpatient prescription coverage, medication class coverage, and cost implications. Our analysis revealed that 42% of formularies are duplicative and that the unique formularies contain variability for medications that contribute little in terms of cost or overall use. These results lead us to believe the number and complexities of formularies can be dramatically reduced leading to more intuitive decision support for physicians when writing prescriptions.

Indexed as

Drug Therapy, Computer-AssistedFormularies as TopicDatabases as TopicDrug CostsDrug PrescriptionsHumansInsurance CoverageInsurance, HealthPrescription DrugsUnified Medical Language SystemUnited StatesPrescription Drugs

Identifiers

PMID22195194
PMCPMC3243218

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.