Evidence map›Paper›PMID 31396802›Full record

ArticleJournal of immigrant and minority health2020

Using Electronic Health Record Data to Study Latino Immigrant Populations in Health Services Research.

John Heintzman, Miguel Marino, Khaya Clark, Stuart Cowburn, Sonia Sosa, Lizdaly Cancel, David Ezekiel-Herrera, Deborah Cohen

Abstract read
In one paragraph

Article in Journal of immigrant and minority health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Observational
  5. Article
  6. Article
  7. Article
  8. 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

8 authors.

John HeintzmanDepartment of Family Medicine, Oregon Health & Science University, 3181 SW Sam Jackson Park Road, Portland, OR, 97239, USA. heintzma@ohsu.edu.
Miguel MarinoDepartment of Family Medicine, Oregon Health & Science University, 3181 SW Sam Jackson Park Road, Portland, OR, 97239, USA.
Khaya ClarkVeterans Affairs Medical Center, 3710 SW US Veterans Hospital Rd., Portland, OR, 97239, USA.
Stuart CowburnOCHIN Inc., 1881 SW Naito Pkwy, Portland, OR, 97201, USA.
Sonia SosaDepartment of Family Medicine, Oregon Health & Science University, 3181 SW Sam Jackson Park Road, Portland, OR, 97239, USA.
Lizdaly CancelBenton County Health Department, 530 NW 27th St, Corvallis, OR, 97330, USA.
David Ezekiel-HerreraDepartment of Family Medicine, Oregon Health & Science University, 3181 SW Sam Jackson Park Road, Portland, OR, 97239, USA.
Deborah CohenDepartment of Family Medicine, Oregon Health & Science University, 3181 SW Sam Jackson Park Road, Portland, OR, 97239, USA.

Funding

BACKGROUND: Bettering Asthma Care in Kids - Geographic Social Determinants Data to Understand DisparitiesR01MD011404 · NIMHD · OREGON HEALTH & SCIENCE UNIVERSITY · PI HEINTZMAN, JOHN · 2017 to 2021
$2.5M
The Primary Care Medical Home and Preventive Service Use in Latino ImmigrantsK08HS021522 · AHRQ · OREGON HEALTH & SCIENCE UNIVERSITY · PI HEINTZMAN, JOHN · 2013 to 2016
$590k
Agency for Healthcare Research and Quality K08HS02152201A1AHRQ HHS K08 HS021522National Institute on Minority Health and Health Disparities R01MD011404NIMHD NIH HHS R01 MD011404NIMHD NIH HHS R01MD011404
6 · The paper itself

Abstract

The study of healthcare disparities in Latino immigrants is underdeveloped and limited by risk to participants. To validate an electronic health record (EHR)-based algorithm that could serve as a safe proxy for self-reported immigration status for health services researchers. Primary collection/analysis of interview data and secondary analysis of electronic health record data. We developed an EHR algorithm to classify a population of patients as likely undocumented or recent Latino immigrants and validated this algorithm by conducting semi-structured interviews of staff whose main role entails asking about immigration status. We presented them with a list of patients (masked to the interviewer) with whom they had worked, and asked them to indicate patient's immigration status, if they recalled it. We analyzed the correspondence between staff knowledge and our EHR algorithm. Staff described routine conversations with patients about immigration status. The EHR algorithm had fair agreement (66.2%, 95% CI 57.3-74.2) with staff knowledge. When the staff were more confident of their assessment, agreement increased (77.6%, 95% CI 63.4-88.2). The EHR has potential for studying immigration status in health services research, although more study is needed to determine the accuracy and utility of EHRs for this purpose.

Indexed as

Emigrants and ImmigrantsHispanic or LatinoData CollectionElectronic Health RecordsFemaleHealthcare DisparitiesHealth Services ResearchHumansLanguageMaleMedically UninsuredResearch DesignSocioeconomic FactorsUndocumented ImmigrantsElectronic health recordsHispanic/LatinoImmigration

Identifiers

PMID31396802
PMCPMC7093036

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.