Evidence map›Paper›PMID 26958254›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2015

Application of a Consumer Health Information Needs Taxonomy to Questions in Maternal-Fetal Care.

Jared A Shenson, Ebone Ingram, Nadja Colon, Gretchen Purcell Jackson

Abstract read
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. A technology-based patient and family engagement consult service for the pediatric hospital setting.Journal of the American Medical Informatics Association : JAMIA · 2018
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Automated Classification of Consumer Health Information Needs in Patient Portal Messages.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2015
    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

4 authors.

Jared A ShensonVanderbilt University Medical Center, Nashville, Tennessee.
Ebone IngramVanderbilt University Medical Center, Nashville, Tennessee.
Nadja ColonVanderbilt University Medical Center, Nashville, Tennessee.
Gretchen Purcell JacksonVanderbilt University Medical Center, Nashville, Tennessee.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pregnancy is a time when expectant mothers may have numerous questions about their unborn children, especially when congenital anomalies are diagnosed prenatally. We sought to characterize information needs of pregnant women seen in the Vanderbilt Children's Hospital Fetal Center. Participants recorded questions from diagnosis through delivery. Questions were categorized by two researchers using a hierarchical taxonomy describing consumer health information needs. Consensus category assignments were made, and inter-rater reliability was measured with Cohen's Kappa. Sixteen participants reported 398 questions in 39 subcategories, of which the most common topics were prognosis (53 questions; 13.3%) and indications for intervention (31 questions; 7.8%). Inter-rater reliability of assignments showed moderate (κ=0.57) to substantial (κ=0.75) agreement for subcategories and primary categories, respectively. Pregnant women with prenatal diagnoses have diverse unmet information needs; a taxonomy of consumer health information needs may improve the ability to meet such needs through content and system design.

Indexed as

Consumer Health InformationMaternal Health ServicesCongenital AbnormalitiesFemaleHealth Services Needs and DemandHumansPregnancyReproducibility of ResultsTerminology as Topic

Identifiers

PMID26958254
PMCPMC4765568

What OpenQuestion holds

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Registered trials

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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.