Evidence map›Paper›PMID 22195074›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2011

A multi-site content analysis of social history information in clinical notes.

Elizabeth S Chen, Sharad Manaktala, Indra Neil Sarkar, Genevieve B Melton

Abstract read
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing 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

37 citing papers in PubMed.

  1. Article
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  7. Stressful life events in electronic health records: a scoping review.Journal of the American Medical Informatics Association : JAMIA · 2024
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  17. Using Clinical Notes and Natural Language Processing for Automated HIV Risk Assessment.Journal of acquired immune deficiency syndromes (1999) · 2018
    Article
  18. Article
  19. Article
  20. 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.

Elizabeth S ChenCenter for Clinical & Translational Science, University of Vermont, Burlington, VT, USA.
Sharad Manaktala
Indra Neil Sarkar
Genevieve B Melton

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Within Electronic Health Records (EHRs), the social history section contains information relevant to social, behavioral, and environmental determinants of health. While social history is playing an increasingly important role in patient care, biomedical research, and public health, little analysis has been done to describe content in the EHR or the adequacy of existing standards for representing this information. In this study, social history sections from 260 clinical notes containing 989 sentences and 1,439 statements were analyzed from three sources. In total, 35 statement types were identified along with categories of information within statements for each type. For the 8 most common types, HL7 CDA and openEHR were found to provide different representations capable of capturing the breadth and granularity of information to some extent. The results of this study provide valuable insights for guiding efforts in the enhanced collection, standardization, and use of social history information in the EHR.

Indexed as

Electronic Health RecordsHealth BehaviorHumansInformation Storage and Retrieval

Identifiers

PMID22195074
PMCPMC3243209

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.