Evidence map›Paper›PMID 37203425›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2023

Characterizing terminology applied by authors and database producers to informatics literature on consumer engagement with wearable devices.

Kristine M Alpi, Christie L Martin, Joseph M Plasek, Scott Sittig, Catherine Arnott Smith, Elizabeth V Weinfurter, Jennifer K Wells, Rachel Wong, Robin R Austin

Open access · greenAbstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
1.3field-weighted citation impact, top 19% of its field
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

0 citing papers in PubMed, 3 citations in OpenAlex.

No citing paper in PubMed yet.

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

9 authors at 7 institutions in 1 country.

Kristine M AlpiIcahn School of Medicine at Mount Sinai, Levy Library, Annenberg, New York, New York, USA.ORCID 0000-0002-4521-3523
Christie L MartinUniversity of Minnesota School of Nursing, Minneapolis, Minnesota, USA.ORCID 0000-0003-1685-0205
Joseph M PlasekDivision of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, Massachusetts, USA.ORCID 0000-0002-9686-3876
Scott SittigCollege of Nursing and Health Sciences, University of Louisiana at Lafayette, Lafayette, Louisiana, USA.ORCID 0000-0002-7179-152X
Catherine Arnott SmithThe Information School, University of Wisconsin, Madison, Wisconsin, USA.ORCID 0000-0002-3683-2074
Elizabeth V WeinfurterHealth Sciences Library, University of Minnesota, Minneapolis, Minnesota, USA.ORCID 0000-0003-3541-7861
Jennifer K WellsOregon State University, Corvallis, Oregon, USA.ORCID 0000-0002-3466-031X
Rachel WongDepartment of Biomedical Informatics, Stony Brook University Hospital, Stony Brook, New York, USA.ORCID 0000-0003-3108-7324
Robin R AustinUniversity of Minnesota School of Nursing, Minneapolis, Minnesota, USA.ORCID 0000-0003-1993-4623
University of Minnesota · USBrigham and Women's Hospital · USIcahn School of Medicine at Mount Sinai · USOregon State University · USStony Brook University Hospital · USUniversity of Louisiana at Lafayette · USUniversity of Wisconsin–Madison · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveIdentifying consumer health informatics (CHI) literature is challenging. To recommend strategies to improve discoverability, we aimed to characterize controlled vocabulary and author terminology applied to a subset of CHI literature on wearable technologies. MATERIALS AND

methodsTo retrieve articles from PubMed that addressed patient/consumer engagement with wearables, we developed a search strategy of textwords and Medical Subject Headings (MeSH). To refine our methodology, we used a random sample of 200 articles from 2016 to 2018. A descriptive analysis of articles (N = 2522) from 2019 identified 308 (12.2%) CHI-related articles, for which we characterized their assigned terminology. We visualized the 100 most frequent terms assigned to the articles from MeSH, author keywords, CINAHL, and Engineering Databases (Compendex and Inspec together). We assessed the overlap of CHI terms among sources and evaluated terms related to consumer engagement.

resultsThe 308 articles were published in 181 journals, more in health journals (82%) than informatics (11%). Only 44% were indexed with the MeSH term "wearable electronic devices." Author keywords were common (91%) but rarely represented consumer engagement with device data, eg, self-monitoring (n = 12, 0.7%) or self-management (n = 9, 0.5%). Only 10 articles (3%) had terminology from all sources (authors, PubMed, CINAHL, Compendex, and Inspec). DISCUSSION: Our main finding was that consumer engagement was not well represented in health and engineering database thesauri.

conclusionsAuthors of CHI studies should indicate consumer/patient engagement and the specific technology investigated in titles, abstracts, and author keywords to facilitate discovery by readers and expand vocabularies and indexing.

Indexed as

Medical Subject HeadingsVocabulary, ControlledConsumer Health InformaticsHumansPatient ParticipationPubMedauthor keywordsconsumer health informaticscontrolled vocabularypatient engagementwearable devices

Identifiers

PMID37203425
PMCPMC10280350
OpenAlexW4377094549

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.