Evidence map›Paper›PMID 18999097›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2008

Leading a horse to water: using automated reminders to increase use of online decision support.

James J Cimino, Dmitriy V Borovtsov

Abstract read
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Context-sensitive decision support (infobuttons) in electronic health records: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2017
    Pooled it
  2. Article
  3. Article
  4. 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

2 authors.

James J CiminoNational Institutes of Health Clinical Center, Bethesda, Maryland, USA.
Dmitriy V Borovtsov

Funding

Infobuttons to Improve Information Access in Order EntryR01LM007593 · NLM · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI CIMINO, JAMES J. · 2002 to 2007
$2.4M
NLM NIH HHS R01 LM007593NLM NIH HHS R01LM07593
6 · The paper itself

Abstract

Online knowledge resources are generally underused despite their potentially beneficial effect on patient care. We are interested in ways to increase use of context-specific links, called infobuttons, from clinical information systems to such resources. We used log files to examine the impact of classroom instruction on infobutton use to pinpoint a particular context where infobuttons appeared to be underused by particular users. We sent users e-mail suggestions about infobuttons and reviewed log files to examine the impact of the messages. Log files showed that usage by medical students and housestaff following classroom instruction was initially high but then tapered off. In particular, we found that infobuttons were infrequently used in an outpatient, but not inpatient, medication application. We sent 552 suggestion e-mails to 371 users after log files showed that they used other resources in that context. Fifty-two of these users used infobuttons within 31 days of receiving the e-mail, which represents 25.9% of recipients who used any resource during the same period. Users responded best when the e-mail was sent within 5 days of using the resource. Traditional instruction had a limited sustained effect on improving the use of infobuttons. An automated method for sending targeted suggestions complemented the traditional approach.

Indexed as

Decision Support Systems, ClinicalElectronic MailNew YorkOnline SystemsPractice Patterns, Physicians'Reminder Systems

Identifiers

PMID18999097
PMCPMC2656005

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.