Evidence map›Paper›PMID 26479964›Full record

ArticleJournal of agromedicine2016

The Feasibility of Using Electronic Health Records to Describe Demographic and Clinical Indicators of Migrant and Seasonal Farmworkers.

Christina Socias, Yuanyuan Liang, George Delclos, Julie Graves, Ed Hendrikson, Sharon Cooper

Open access · greenAbstract read
In one paragraph

Article in Journal of agromedicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 35% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

6 authors at 1 institution in 1 country.

Christina Sociasa School of Public Health, The University of Texas Health Sciences Center , Houston , Texas , USA.
Yuanyuan Lianga School of Public Health, The University of Texas Health Sciences Center , Houston , Texas , USA.
George Delclosa School of Public Health, The University of Texas Health Sciences Center , Houston , Texas , USA.
Julie Gravesb American University of the Caribbean, Cupecoy , Dutch Lowlands , St. Maarten.
Ed Hendriksonc Salud Family Health Center , Fort Lupton , Colorado , USA.
Sharon Coopera School of Public Health, The University of Texas Health Sciences Center , Houston , Texas , USA.
The University of Texas Health Science Center at Houston · US

Funding

Southwest Center for Occupational and Environmental HealthT42OH008421 · OH · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI FELKNOR, SARAH A. · 2005 to 2024
$24.1M
Center for Clinical and Translational Sciences (CCTS)UL1TR000371 · NCATS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI MCPHERSON, DAVID D · 2012 to 2016
$13.4M
Southwest Center for Agricultural Safety and HealthU50OH007541 · OH · UNIVERSITY OF TEXAS HLTH CTR AT TYLER · PI LEVIN, JEFFREY L. · 2001 to 2010
$5.7M
Community-Academic Linkages to Build a National Network for Farmworker ResearchRC4ES019405 · NIEHS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI COOPER, SHARON P, RYDER, E. ROBERTA · 2010 to 2010
$1000k
ACL HHS T42OH008421NCATS NIH HHS UL1 TR000371NIEHS NIH HHS 1RC4ES019405-01NIEHS NIH HHS RC4 ES019405NIOSH CDC HHS 5T42OH008421NIOSH CDC HHS T42 OH008421NIOSH CDC HHS U50 OH007541NIOSH CDC HHS U50 OH07541
6 · The paper itself

Abstract

Few extensive, national clinical databases exist on the health of migrant and seasonal farmworkers (MSFWs). Electronic health records (EHRs) are increasingly utilized by Federally Qualified Health Centers (FQHCs) and have the potential to improve clinical care and complement current surveillance and epidemiologic studies of underserved working populations, such as MSFWs. The aim of this feasibility study was to describe the demographics and baseline clinical indicators of patients at an FQHC by MSFW status. The authors described 2012 patient demographics, social history, medical indicators, and diagnoses by MSFW status from the de-identified EHR database of a large, multisite Colorado Migrant Health Center (MHC). Included in the study were 41,817 patients from 2012: 553 (1.3%) MSFWs, 20,665 (49.4%) non-MSFWs, and 20,599 (49.3%) who had no information in the MSFW field. MSFWs were more often male, married, employed, Hispanic, and Spanish-speaking compared with non-MSFWs. The most frequent diagnoses for all patients were hypertension, overweight/obesity, lipid disorder, type 2 diabetes, or a back disorder. Although there were significant missing values, this feasibility study was able to analyze medical data in a timely manner and show that Meaningful Use requirements can improve the usability of EHR data for epidemiologic research of MSFWs and other patients at FQHCs. The results of this study were consistent with current literature available for MSFWs. By reaching this vulnerable working population, EHRs may be a key data source for occupational injury and illness surveillance and research.

Indexed as

Electronic Health RecordsTransients and MigrantsAdultAgricultural Workers' DiseasesAgricultureColoradoDatabases, FactualFarmersFemaleHispanic or LatinoHumansMaleMiddle AgedSeasonsVulnerable PopulationsElectronic health recordsfarmworkersMeaningful Useoccupational health

Identifiers

PMID26479964
PMCPMC4744472
OpenAlexW1800683119

What OpenQuestion holds

Textmetadata
LicenceTDM
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.