Evidence map›Paper›PMID 31120020›Full record

ArticleJournal of medical Internet research2019

Perspectives of English, Chinese, and Spanish-Speaking Safety-Net Patients on Clinician Computer Use: Qualitative Analysis.

Elaine C Khoong, Roy Cherian, George Y Matta, Courtney R Lyles, Dean Schillinger, Neda Ratanawongsa

Open access · goldAbstract read
In one paragraph

Article in Journal of medical Internet research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.2field-weighted citation impact, top 17% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. 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 at 2 institutions in 1 country.

Elaine C KhoongDivision of General Internal Medicine, Department of Medicine at Zuckerberg San Francisco General Hospital, University of California San Francisco, San Francisco, CA, United States.ORCID 0000-0002-2514-3572
Roy CherianDivision of General Internal Medicine, Department of Medicine at Zuckerberg San Francisco General Hospital, University of California San Francisco, San Francisco, CA, United States.ORCID 0000-0002-4257-8842
George Y MattaSchool of Medicine, Boston University, Boston, MA, United States.ORCID 0000-0003-1745-8934
Courtney R LylesDivision of General Internal Medicine, Department of Medicine at Zuckerberg San Francisco General Hospital, University of California San Francisco, San Francisco, CA, United States.ORCID 0000-0002-1111-8595
Dean SchillingerDivision of General Internal Medicine, Department of Medicine at Zuckerberg San Francisco General Hospital, University of California San Francisco, San Francisco, CA, United States.ORCID 0000-0002-7221-7327
Neda RatanawongsaDivision of General Internal Medicine, Department of Medicine at Zuckerberg San Francisco General Hospital, University of California San Francisco, San Francisco, CA, United States.ORCID 0000-0001-9944-6923
San Francisco General Hospital · USBoston University · US

Funding

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
Building an Ambulatory Patient Safety Learning Laboratory for Diverse PopulationsP30HS023558 · AHRQ · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SARKAR, URMIMALA · 2014 to 2017
$3.9M
Engaging Diverse Patients in Using an Online Patient PortalR00HS022408 · AHRQ · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LYLES, COURTNEY REES · 2015 to 2017
$740k
Integrating Adherence into a Safety Net EHR Tool to Improve Decision-makingK08HS022561 · AHRQ · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI RATANAWONGSA, NEDA · 2014 to 2017
$621k
AHRQ HHS K08 HS022561AHRQ HHS P30 HS023558AHRQ HHS R00 HS022408NIDDK NIH HHS P30 DK092924
6 · The paper itself

Abstract

backgroundSafety-net systems serve patients with limited health literacy and limited English proficiency (LEP) who face communication barriers. However, little is known about how diverse safety-net patients feel about increasing clinician electronic health record (EHR) use.

objectiveThe aim of this study was to better understand how safety-net patients, including those with LEP, view clinician EHR use.

methodsWe conducted focus groups in English, Spanish, and Cantonese (N=37) to elicit patient perspectives on how clinicians use EHRs during clinic visits. Using a grounded theory approach, we coded transcripts to identify key themes.

resultsAcross multiple language groups, participants accepted multitasking and silent clinician EHR use if focused on their care. However, participants desired more screen share and eye contact, especially when demonstrating physical concerns. All participants, including LEP participants, wanted clinicians to include them in EHR use.

conclusionsLinguistically diverse patients accept the value of EHR use during outpatient visits but desire more eye contact, verbal warnings before EHR use, and screen-sharing. Safety-net health systems should support clinicians in completing EHR-related tasks during the visit using patient-centered strategies for all patients.

Indexed as

CommunicationCommunication BarriersPhysician-Patient RelationsAmbulatory CareAsian PeopleComputersElectronic Health RecordsFemaleHealth LiteracyHispanic or LatinoHumansLanguageMaleSafety-net Providersattitude to computerscommunication barrierselectronic health recordsphysician-patient relationsvulnerable populations

Identifiers

PMID31120020
PMCPMC6549473
OpenAlexW2946450229

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.