Evidence map›Paper›PMID 39047296›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2024

Representation of Social Determinants of Health terminology in medical subject headings: impact of added terms.

Chikako Suda-King, Lucas Winch, James M Tucker, Abbey D Zuehlke, Christine Hunter, Janine M Simmons

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

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

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

  1. Pooled it
  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

6 authors.

Chikako Suda-KingLexical Intelligence, LLC, Rockville, MD 20851, United States.
Lucas WinchLexical Intelligence, LLC, Rockville, MD 20851, United States.
James M TuckerLexical Intelligence, LLC, Rockville, MD 20851, United States.
Abbey D ZuehlkeLexical Intelligence, LLC, Rockville, MD 20851, United States.
Christine HunterC & C Hunter Consulting, San Diego, CA 92120, United States.
Janine M SimmonsOffice of Behavioral and Social Sciences Research, National Institutes of Health, Bethesda, MD 20892, United States.

Funding

Lexical Intelligence, Inc.NIH HHSOffice of Behavioral and Social Science Research 75N97021F00107
6 · The paper itself

Abstract

objectivesTo enhance and evaluate the quality of PubMed search results for Social Determinants of Health (SDoH) through the addition of new SDoH terms to Medical Subject Headings (MeSH). MATERIALS AND

methodsHigh priority SDoH terms and definitions were collated from authoritative sources, curated based on publication frequencies, and refined by subject matter experts. Descriptive analyses were used to investigate how PubMed search details and best match results were affected by the addition of SDoH concepts to MeSH. Three information retrieval metrics (Precision, Recall, and F measure) were used to quantitatively assess the accuracy of PubMed search results. Pre- and post-update documents were clustered into topic areas using a Natural Language Processing pipeline, and SDoH relevancy assessed.

resultsAddition of 35 SDoH terms to MeSH resulted in more accurate algorithmic translations of search terms and more reliable best match results. The Precision, Recall, and F measures of post-update results were significantly higher than those of pre-update results. The percentage of retrieved publications belonging to SDoH clusters was significantly greater in the post- than pre-update searches. DISCUSSION: This evaluation confirms that inclusion of new SDoH terms in MeSH can lead to qualitative and quantitative enhancements in PubMed search retrievals. It demonstrates the methodology for and impact of suggesting new terms for MeSH indexing. It provides a foundation for future efforts across behavioral and social science research (BSSR) domains.

conclusionImproving the representation of BSSR terminology in MeSH can improve PubMed search results, thereby enhancing the ability of investigators and clinicians to build and utilize a cumulative BSSR knowledge base.

Indexed as

Medical Subject HeadingsNatural Language ProcessingPubMedSocial Determinants of HealthTerminology as TopicAlgorithmsHumansInformation Storage and Retrievalevaluation studies as topicmedical subject headingsPubMedsearch enginesocial determinants of health

Identifiers

PMID39047296
PMCPMC11491601

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.