Evidence map›Paper›PMID 28269929›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2016

Content and Quality of Free-Text Occupation Documentation in the Electronic Health Record.

Ranyah Aldekhyyel, Elizabeth S Chen, Sripriya Rajamani, Yan Wang, Genevieve B Melton

Open access · greenAbstract read
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
3.8field-weighted citation impact, top 6% 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

10 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. 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 2 institutions in 2 countries.

Ranyah AldekhyyelInstitute for Health Informatics; Medical Education Department, College of Medicine, King Saud University, Riyadh, SA.
Elizabeth S ChenCenter for Biomedical Informatics, Brown University, Providence, RI.
Sripriya RajamaniInstitute for Health Informatics; Public Health Informatics Program.
Yan WangInstitute for Health Informatics.
Genevieve B MeltonInstitute for Health Informatics; Department of Surgery, University of Minnesota, Minneapolis, MN.
Brown University · USInstitute for Medical Informatics and Biostatistics · CH

Funding

University of Minnesota Clinical and Translational Science Institute (UMN CTSI)UL1TR000114 · NCATS · UNIVERSITY OF MINNESOTA · PI BLAZAR, BRUCE R · 2012 to 2015
$35.0M
Leveraging the EHR to Collect and Analyze Social, Behavioral & Familial FactorsR01LM011364 · NLM · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI CHEN, ELIZABETH S., MELTON-MEAUX, GENEVIEVE B · 2012 to 2015
$1.4M
NCATS NIH HHS UL1 TR000114NLM NIH HHS R01 LM011364
6 · The paper itself

Abstract

Recent recommendations for capturing social and behavioral information in electronic health record (EHR) systems for downstream applications, including research, highlight the need to better represent patient occupation. The objectives of this study were to characterize the content and quality of EHR social history module free-text occupation documentation. After developing categorization schemas, occupation entries with frequencies >5 (n=2,336) and a random sample of those with frequencies ≤5 (n=381) were analyzed. The information contained in the 2,336 entries fell into five groups: occupation (84.7%), occupation details (20.6%), employment status (2.5%), not in labor force (21.6%), and other (2.5%). Quality issues included use of acronyms/abbreviations (9.1%) and misspellings (1.6%). In comparison, quality issues with the 381 entries were: other (29.1%), acronyms/abbreviations (19.0%), and misspellings (9.0%). These findings suggest the need for EHR user training, system enhancements, and content standardization to support use of occupational information for clinical care and research.

Indexed as

OccupationsDocumentationElectronic Health RecordsHumans

Identifiers

PMID28269929
PMCPMC5333203
OpenAlexW2620797009

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.