Evidence map›Paper›PMID 31181144›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2019

Research-grade data in the real world: challenges and opportunities in data quality from a pragmatic trial in community-based practices.

Anna A Divney, Priscilla M Lopez, Terry T Huang, Lorna E Thorpe, Chau Trinh-Shevrin, Nadia S Islam

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2019. 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
–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

10 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Contemporary use of real-world data for clinical trial conduct in the United States: a scoping review.Journal of the American Medical Informatics Association : JAMIA · 2021
    Article
  9. Using UMLS for electronic health data standardization and database design.Journal of the American Medical Informatics Association : JAMIA · 2020
    Article
  10. Health informatics and health equity: improving our reach and impact.Journal of the American Medical Informatics Association : JAMIA · 2019
    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.

Anna A DivneyCUNY Graduate School of Public Health and Health Policy, Center for Systems and Community Design, New York, New York, USA.
Priscilla M LopezNYU-CUNY Prevention Research Center, New York, New York, USA.
Terry T HuangCUNY Graduate School of Public Health and Health Policy, Center for Systems and Community Design, New York, New York, USA.
Lorna E ThorpeNYU-CUNY Prevention Research Center, New York, New York, USA.
Chau Trinh-ShevrinNYU-CUNY Prevention Research Center, New York, New York, USA.
Nadia S IslamNYU-CUNY Prevention Research Center, New York, New York, USA.

Funding

Project-005UL1TR001445 · NCATS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI BREDELLA, MIRIAM ANTOINETTE, HOCHMAN, JUDITH S · 2015 to 2025
$103.5M
Research Training and Education CoreP60MD000538 · NIMHD · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI TRINH-SHEVRIN, CHAU · 2003 to 2017
$21.2M
Scaling Community-Clinical Linkage Models to Address Diabetes and Hypertension Disparities in the Southeastern U.S.U54MD000538 · NIMHD · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI TRINH-SHEVRIN, CHAU · 2017 to 2022
$11.3M
New York University, City University of New York Health Promotion & Prevention ReU48DP005008 · DP · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI THORPE, LORNA, TRINH-SHEVRIN, CHAU · 2014 to 2018
$6.9M
Integrated Community-Clinical Linkage Model to Promote Weight Loss among South Asians with Pre-DiabetesR01DK110048 · NIDDK · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI ISLAM, NADIA S · 2017 to 2021
$3.5M
ACL HHS U48DP005008NCATS NIH HHS UL1 TR001445NCCDPHP CDC HHS U48 DP005008NIDDK NIH HHS R01 DK110048NIMHD NIH HHS P60 MD000538NIMHD NIH HHS U54 MD000538
6 · The paper itself

Abstract

Randomized controlled trials face cost, logistic, and generalizability limitations, including difficulty engaging racial/ethnic minorities. Real-world data (RWD) from pragmatic trials, including electronic health record (EHR) data, may produce intervention evaluation findings generalizable to diverse populations. This case study of Project IMPACT describes unique barriers and facilitators of optimizing RWD to improve health outcomes and advance health equity in small immigrant-serving community-based practices. Project IMPACT tested the effect of an EHR-based health information technology intervention on hypertension control among small urban practices serving South Asian patients. Challenges in acquiring accurate RWD included EHR field availability and registry capabilities, cross-sector communication, and financial, personnel, and space resources. Although using RWD from community-based practices can inform health equity initiatives, it requires multidisciplinary collaborations, clinic support, procedures for data input (including social determinants), and standardized field logic/rules across EHR platforms.

Indexed as

Community Health ServicesData AccuracyElectronic Health RecordsHypertensionMedical InformaticsPragmatic Clinical Trials as TopicAsianHumansNew York Citydata qualityhealth equityhealth information technologyimmigrantspragmatic trialsreal world data

Identifiers

PMID31181144
PMCPMC6696500

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.