Evidence map›Paper›PMID 32734157›Full record

ArticleJAMIA open2020

A case study of the 1115 waiver using population health informatics to address disparities.

Amy M Sitapati, Barbara Berkovich, April Moreno Arellano, Angela Scioscia, Lawrence S Friedman, Marlene Millen, Patricia Maysent, Ming Tai-Seale, Christopher A Longhurst

Abstract read
In one paragraph

Article in JAMIA open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Observational
  5. Engaging the disability community in informatics research: rationales and practical steps.Journal of the American Medical Informatics Association : JAMIA · 2022
    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

9 authors.

Amy M SitapatiDivision of General Internal Medicine and Division of Biomedical Informatics, Department of Medicine, University of California San Diego Health, San Diego, California, USA.
Barbara BerkovichHahn School of Nursing, University of San Diego, San Diego, California, USA.
April Moreno ArellanoDepartment of Medicine, University of California San Diego, San Diego, California, USA.
Angela SciosciaDepartment of Obstetrics, Gynecology and Reproductive Science, University of California San Diego Health, San Diego, California, USA.
Lawrence S FriedmanDepartment of Medicine and Pediatrics, University of California San Diego Health, San Diego, California, USA.
Marlene MillenDivision of General Internal Medicine and Division of Biomedical Informatics, Department of Medicine, Chief Medical Information Officer of Ambulatory and Affiliates, University of California San Diego, San Diego, California, USA.
Patricia MaysentUniversity of California San Diego Health, San Diego, California, USA.
Ming Tai-SealeDepartment of Family Medicine and Public Health, and Information Services, University of California San Diego Health, San Diego, California, USA.
Christopher A LonghurstDepartment of Biomedical Informatics, University of California San Diego Health, San Diego, California, USA.

Funding

San Diego Biomedical Informatics Education & Research (SABER)T15LM011271 · NLM · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SHAMIM NEMATI · 2012 to 2026
$9.7M
NLM NIH HHS T15 LM011271
6 · The paper itself

Abstract

As participants in the California Medicaid 1115 waiver, the University of California San Diego Health (UCSDH) used population health informatics tools to address health disparities. This case study describes a modern application of health informatics to improve data capture, describe health disparities through demographic stratification, and drive reliable care through electronic medical record-based registries. We provide a details in our successful approach using (1) standardized collection of race, ethnicity, language, sexual orientation, and gender identity data, (2) stratification of 8 quality measures by demographic profile, and (3) improved quality performance through registries for wellness, social determinants of health, and chronic disease. A strong population health platform paired with executive support, physician leadership, education and training, and workflow redesign can improve the representation of diversity and drive reliable processes for care delivery that improve health equity.

Indexed as

clinical informaticsCMS 1115 waiverhealth disparitieshealth ITpopulation health

Identifiers

PMID32734157
PMCPMC7382629

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.