Evidence map›Paper›PMID 15471753›Full record

ArticleJournal of medical Internet research2004

Reformulation of consumer health queries with professional terminology: a pilot study.

Robert M Plovnick, Qing T Zeng

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

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

  1. A systematic review of healthcare applications for smartphones.BMC medical informatics and decision making · 2012
    Pooled it
  2. Assisting consumer health information retrieval with query recommendations.Journal of the American Medical Informatics Association : JAMIA
    Trial
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. askMEDLINE: a free-text, natural language query tool for MEDLINE/PubMed.BMC medical informatics and decision making · 2005
    Article
  10. Exploring and developing consumer health vocabularies.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

2 authors.

Robert M PlovnickDecision Systems Group, Thorn 310, Brigham and Women's Hospital, 75 Francis Street, Boston, MA 02115, USA. plovnick@dsg.harvard.edu
Qing T Zeng

Funding

RESEARCH TRAINING-MEDICAL INFORMATICS 90T15LM007092 · NLM · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI Nils Gehlenborg · 1992 to 2026
$32.8M
Vocabulary Support for Consumer Health InformaticsR01LM007222 · NLM · UNIVERSITY OF UTAH · PI ZENG, QING · 2002 to 2010
$1.9M
NLM NIH HHS LM07092NLM NIH HHS R01 LM007222NLM NIH HHS R01 LM07222NLM NIH HHS T15 LM007092
6 · The paper itself

Abstract

backgroundThe Internet is becoming an increasingly important resource for health-information seekers. However, consumers often do not use effective search strategies. Query reformulation is one potential intervention to improve the effectiveness of consumer searches.

objectiveWe endeavored to answer the research question: "Does reformulating original consumer queries with preferred terminology from the Unified Medical Language System (UMLS) Metathesaurus lead to better search returns?"

methodsConsumer-generated queries with known goals (n=16) that could be mapped to UMLS Metathesaurus terminology were used as test samples. Reformulated queries were generated by replacing user terms with Metathesaurus-preferred synonyms (n=18). Searches (n=36) were performed using both a consumer information site and a general search engine. Top 30 precision was used as a performance indicator to compare the performance of the original and reformulated queries.

resultsForty-two percent of the searches utilizing reformulated queries yielded better search returns than their associated original queries, 19% yielded worse results, and the results for the remaining 39% did not change. We identified ambiguous lay terms, expansion of acronyms, and arcane professional terms as causes for changes in performance.

conclusionsWe noted a trend towards increased precision when providing substitutions for lay terms, abbreviations, and acronyms. We have found qualitative evidence that reformulating queries with professional terminology may be a promising strategy to improve consumer health-information searches, although we caution that automated reformulation could in fact worsen search performance when the terminology is ill-fitted or arcane.

Indexed as

Consumer BehaviorHumansInformation ServicesInternetMedlinePlusPatient Education as TopicPilot ProjectsUnified Medical Language SystemUser-Computer Interface

Identifiers

PMID15471753
PMCPMC1550613

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.