Evidence map›Paper›PMID 35309000›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2021

Incidence and Impact of Missing Functional Elements on Information Comprehension using Audio and Text.

Gondy Leroy, David Kauchak, Nicholas Kloehn

Abstract read
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2021. 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
–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

0 citing papers in PubMed.

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

3 authors.

Gondy LeroyUniversityof Arizona, Tucson, AZ, USA.
David KauchakPomona College, Claremont, CA, USA.
Nicholas KloehnUniversityof Arizona, Tucson, AZ, USA.

Funding

Evidence-based Strategy and Tool to Simplify Text for Patients and ConsumersR01LM011975 · NLM · UNIVERSITY OF ARIZONA · PI LEROY, GONDY · 2015 to 2024
$2.9M
NLM NIH HHS R01 LM011975
6 · The paper itself

Abstract

Audio is increasingly used to communicate health information. Initial evaluations have shown it to be an effective means with many features that can be optimized. This study focuses on missing functional elements: words that relate concepts in a sentence but are often excluded for brevity. They are not easily recognizable without linguistics expertise but can be detected algorithmically. Two studies showed that they are common and affect comprehension. A corpus statistics study with medical (Cochrane sentences, N=44,488) and general text (English and Simple English Wikipedia sentences, N=318,056 each) showed that functional elements were missing in 20-30% of sentences. A user study with Cochrane (N=50) and Wikipedia (N=50) paragraphs in text and audio format showed that more missing functional elements increased perceived difficulty of reading text, with the effect less pronounced with audio, and increased actual difficulty of both written and audio information with less information recalled with more missing elements.

Indexed as

ComprehensionReadingHumansIncidenceLanguageLinguistics

Identifiers

PMID35309000
PMCPMC8861712

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.