Evidence map›Paper›PMID 28265579›Full record

ReviewJournal of diabetes research2017

The Next Frontier in Communication and the ECLIPPSE Study: Bridging the Linguistic Divide in Secure Messaging.

Dean Schillinger, Danielle McNamara, Scott Crossley, Courtney Lyles, Howard H Moffet, Urmimala Sarkar, Nicholas Duran, Jill Allen, Jennifer Liu, Danielle Oryn and 2 more

Open access · goldAbstract readReview
In one paragraph

Review in Journal of diabetes research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
6.9field-weighted citation impact, top 3% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.

  1. Interventions to increase patient portal use in vulnerable populations: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2019
    Pooled it
  2. Article
  3. Article
  4. Article
  5. A scoping review of empathy recognition in text using natural language processing.Journal of the American Medical Informatics Association : JAMIA · 2024
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. 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

12 authors at 4 institutions in 1 country.

Dean SchillingerUniversity of California, San Francisco, CA, USA.ORCID 0000-0002-7221-7327
Danielle McNamaraArizona State University, Tempe, AZ, USA.
Scott CrossleyGeorgia State University, Atlanta, GA, USA.
Courtney LylesUniversity of California, San Francisco, CA, USA.ORCID 0000-0002-1111-8595
Howard H MoffetKaiser Permanente, Oakland, CA, USA.
Urmimala SarkarUniversity of California, San Francisco, CA, USA.
Nicholas DuranArizona State University, Tempe, AZ, USA.
Jill AllenKaiser Permanente, Oakland, CA, USA.ORCID 0000-0003-3635-6423
Jennifer LiuKaiser Permanente, Oakland, CA, USA.ORCID 0000-0002-9702-7415
Danielle OrynRedwood Community Health Coalition, Petaluma, CA, USA.
Neda RatanawongsaUniversity of California, San Francisco, CA, USA.ORCID 0000-0001-9944-6923
Andrew J KarterKaiser Permanente, Oakland, CA, USA.
Kaiser Permanente · USUniversity of California, San Francisco · USArizona State University · USGeorgia State University · US

Funding

Engaging University of California Stakeholders for Biorespository ResearchUL1TR000004 · NCATS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GRANDIS, JENNIFER RUBIN · 2012 to 2015
$78.0M
Research BaseP30DK063720 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI VAISSE, CHRISTIAN · 2003 to 2019
$21.8M
Translational Research Core - Health Engagement & Action Translational (HEAT)P30DK092924 · NIDDK · KAISER FOUNDATION RESEARCH INSTITUTE · PI Alyce Sophia Adams, HILARY Kessler SELIGMAN · 2011 to 2026
$9.2M
The Next Frontier in Diabetes Communication: Promoting Health Literacy in the Era of Secure MessagingR01LM012355 · NLM · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KARTER, ANDREW JOHN, SCHILLINGER, DEAN · 2015 to 2018
$2.8M
NCATS NIH HHS UL1 TR000004NIDDK NIH HHS P30 DK063720NIDDK NIH HHS P30 DK092924NLM NIH HHS R01 LM012355
6 · The paper itself

Abstract

Health systems are heavily promoting patient portals. However, limited health literacy (HL) can restrict online communication via secure messaging (SM) because patients' literacy skills must be sufficient to convey and comprehend content while clinicians must encourage and elicit communication from patients and match patients' literacy level. This paper describes the Employing Computational Linguistics to Improve Patient-Provider Secure Email (ECLIPPSE) study, an interdisciplinary effort bringing together scientists in communication, computational linguistics, and health services to employ computational linguistic methods to (1) create a novel Linguistic Complexity Profile (LCP) to characterize communications of patients and clinicians and demonstrate its validity and (2) examine whether providers accommodate communication needs of patients with limited HL by tailoring their SM responses. We will study >5 million SMs generated by >150,000 ethnically diverse type 2 diabetes patients and >9000 clinicians from two settings: an integrated delivery system and a public (safety net) system. Finally, we will then create an LCP-based automated aid that delivers real-time feedback to clinicians to reduce the linguistic complexity of their SMs. This research will support health systems' journeys to become health literate healthcare organizations and reduce HL-related disparities in diabetes care.

Indexed as

CommunicationDiabetes Mellitus, Type 2Electronic Health RecordsHealth LiteracyPhysician-Patient RelationsElectronic MailHumansInternet

Identifiers

PMID28265579
PMCPMC5318623
OpenAlexW2587569682

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.