Evidence map›Paper›PMID 31095049›Full record

ArticleMedical care2019

Role of Health Information Technology in Addressing Health Disparities: Patient, Clinician, and System Perspectives.

Xinzhi Zhang, Benyam Hailu, Derrick C Tabor, Rachel Gold, Michael H Sayre, Ida Sim, Beda Jean-Francois, Cheryl A Casnoff, Theresa Cullen, Vincent A Thomas and 5 more

Abstract read
In one paragraph

Article in Medical care, 2019. 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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  12. Can a Study That's Not Statistically Significant Be Meaningful?American journal of aging science and research · 2024
    Article
  13. Article
  14. Review
  15. Article
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  19. A Scoping Review of Approaches to Improving Quality of Data Relating to Health Inequalities.International journal of environmental research and public health · 2022
    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

15 authors.

Xinzhi ZhangNational Institute on Minority Health and Health Disparities, Bethesda, MD.
Benyam HailuNational Institute on Minority Health and Health Disparities, Bethesda, MD.
Derrick C TaborNational Institute on Minority Health and Health Disparities, Bethesda, MD.
Rachel GoldCenter for Health Research, Kaiser Permanente, Denver, CO.
Michael H SayreNational Institute on Minority Health and Health Disparities, Bethesda, MD.
Ida SimDepartment of Medicine, University of California, San Francisco, San Francisco, CA.
Beda Jean-FrancoisNational Institute on Minority Health and Health Disparities, Bethesda, MD.
Cheryl A CasnoffNational Opinion Research Center (NORC) at the University of Chicago, Chicago, IL.
Theresa CullenDepartment of Family and Community Medicine, Indiana University, Indianapolis, IN.
Vincent A ThomasNational Institute on Minority Health and Health Disparities, Bethesda, MD.
Ligia ArtilesNational Institute on Minority Health and Health Disparities, Bethesda, MD.
Kesi WilliamsNational Institute on Minority Health and Health Disparities, Bethesda, MD.
Phuong-Tu LeNational Institute on Minority Health and Health Disparities, Bethesda, MD.
Courtney F AklinNational Institute on Minority Health and Health Disparities, Bethesda, MD.
Regina JamesNational Institute on Minority Health and Health Disparities, Bethesda, MD.

Funding

Intramural NIH HHS Z99 TR999999
6 · The paper itself

Abstract

Over the last decade, health information technology (IT) has dramatically transformed medical practice in the United States. On May 11-12, 2017, the National Institute on Minority Health and Health Disparities, in partnership with the National Science Foundation and the National Health IT Collaborative for the Underserved, convened a scientific workshop, "Addressing Health Disparities with Health Information Technology," with the goal of ensuring that future research guides potential health IT initiatives to address the needs of health disparities populations. The workshop examined patient, clinician, and system perspectives on the potential role of health IT in addressing health disparities. Attendees were asked to identify and discuss various health IT challenges that confront underserved communities and propose innovative strategies to address them, and to involve these communities in this process. Community engagement, cultural competency, and patient-centered care were highlighted as key to improving health equity, as well as to promoting scalable, sustainable, and effective health IT interventions. Participants noted the need for more research on how health IT can be used to evaluate and address the social determinants of health. Expanding public-private partnerships was emphasized, as was the importance of clinicians and IT developers partnering and using novel methods to learn how to improve health care decision-making. Finally, to advance health IT and promote health equity, it will be necessary to record and capture health disparity data using standardized terminology, and to continuously identify system-level deficiencies and biases.

Indexed as

Health Status DisparitiesMedical InformaticsMinority HealthSocial Determinants of HealthDelivery of Health CareHumansUnited States

Identifiers

PMID31095049
PMCPMC6589829

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.