Evidence map›Paper›PMID 21243058›Full record

ArticleJournal of the Medical Library Association : JMLA2011

Using information prescriptions to refer patients with metabolic conditions to the Genetics Home Reference website.

Denise E Beaudoin, Nicola Longo, Robert A Logan, Jason P Jones, Joyce A Mitchell

Abstract read
In one paragraph

Article in Journal of the Medical Library Association : JMLA, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Evaluating information prescriptions in two clinical environments.Journal of the Medical Library Association : JMLA · 2011
    Trial
  2. Article
  3. Impact of health information prescription in thyroid cancer.Journal of the Medical Library Association : JMLA · 2026
    Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Internet use by parents of infants with positive newborn screens.Journal of inherited metabolic disease · 2012
    Article
  12. Article
  13. Cancer misinformation on social media.CA: a cancer journal for clinicians
    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

5 authors.

Denise E BeaudoinDepartment of Biomedical Informatics, University of Utah, Salt Lake City, UT 84112, USA. denise.beaudoin@hsc.utah.edu
Nicola Longo
Robert A Logan
Jason P Jones
Joyce A Mitchell

Funding

REGIONAL MEDICAL LIBRARY SERVICESN01LM063504 · NLM · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI BRAUDE, ROBERT M · 1986 to 1991
–
NLM NIH HHS N01-LM-6-3504
6 · The paper itself

Abstract

objectivesThe objectives of this study were to assess the reactions of adult patients and parents of children with metabolic conditions to receipt of an "information prescription" (IP) to visit Genetics Home Reference (GHR), a National Institutes of Health/National Library of Medicine online resource, and evaluate the perceived utility of information found on the site.

methodsPatients seen at the University of Utah Metabolic Service Clinic were invited to participate in the study and asked to complete an initial survey to gather demographic data and an online survey six weeks later to obtain information about user experience.

resultsFifty-three of 82 individuals completed both surveys, for an overall response rate of 64.6%. Most respondents (88.7%) agreed that receiving the IP was a "good idea," and nearly all used the IP to visit GHR. More than three-quarters (79.6%) agreed that information on GHR supplemented a physician's advice; 60.4% reported an improved understanding of a health condition; and 41.5% either looked for or would consider looking for additional information. Eighty-six percent of respondents were satisfied with the information found on GHR, and 80% would recommend the site.

conclusionsUse of an IP to direct patients to GHR was well received, and retrieved information was perceived as useful in key areas. The high level of satisfaction with GHR argues for expanded use of the IP approach in this patient population.

Indexed as

Consumer Health InformationGenetic Predisposition to DiseaseInternetAdultConsumer BehaviorData CollectionFemaleHumansMaleMetabolic DiseasesMiddle AgedReferral and ConsultationUtahYoung Adult

Identifiers

PMID21243058
PMCPMC3016649

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.