Evidence map›Paper›PMID 37244917›Full record

ArticleScientific data2023

CHQ- SocioEmo: Identifying Social and Emotional Support Needs in Consumer-Health Questions.

Ashwag Alasmari, Luke Kudryashov, Shweta Yadav, Heera Lee, Dina Demner-Fushman

Open access · goldAbstract readDataset
In one paragraph

Article in Scientific data, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.9field-weighted citation impact, top 22% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. 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

5 authors at 5 institutions in 2 countries.

Ashwag AlasmariKing Khalid University, Abha, Saudi Arabia. ashwag.m.alasmari@gmail.com.ORCID 0000-0002-2486-5979
Luke KudryashovUniversity of Minnesota, Minneapolis, USA.
Shweta YadavUniversity of Illinois Chicago, Chicago, USA.
Heera LeeUniversity of Maryland, College Park, USA.
Dina Demner-FushmanNational Library of Medicine, National Institutes of Health, Bethesda, USA. ddemner@mail.nih.gov.ORCID 0000-0002-4361-5799
King Khalid University · SANational Institutes of Health · USUniversity of Illinois Chicago · USUniversity of Maryland, College Park · USUniversity of Minnesota · US

Funding

Providing timely and effortless access to reliable health-related information for decision support and educationZIALM010019 · NLM · NATIONAL LIBRARY OF MEDICINE · PI DEMNER-FUSHMAN, DINA · 2021 to 2025
$12.0M
6 · The paper itself

Abstract

General public, often called consumers, are increasingly seeking health information online. To be satisfactory, answers to health-related questions often have to go beyond informational needs. Automated approaches to consumer health question answering should be able to recognize the need for social and emotional support. Recently, large scale datasets have addressed the issue of medical question answering and highlighted the challenges associated with question classification from the standpoint of informational needs. However, there is a lack of annotated datasets for the non-informational needs. We introduce a new dataset for non-informational support needs, called CHQ-SocioEmo. The Dataset of Consumer Health Questions was collected from a community question answering forum and annotated with basic emotions and social support needs. This is the first publicly available resource for understanding non-informational support needs in consumer health-related questions online. We benchmark the corpus against multiple state-of-the-art classification models to demonstrate the dataset's effectiveness.

Identifiers

PMID37244917
PMCPMC10224974
OpenAlexW4378574771

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.