Evidence map›Paper›PMID 32250280›Full record

ArticleJournal of medical Internet research2020

The Use of Technology for Communicating With Clinicians or Seeking Health Information in a Multilingual Urban Cohort: Cross-Sectional Survey.

Elaine C Khoong, Natalie A Rivadeneira, Robert A Hiatt, Urmimala Sarkar

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04378738 (The Role of Social Media as an Information Source in Covid19 Pandemic), which is not on this map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
8.1field-weighted citation impact, top 2% 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.

NCT04378738 naunknown statusnot on this map

The Role of Social Media as an Information Source in Covid19 Pandemic

TypeinterventionalSponsorAcibadem UniversityRan2020 to 2020Enrolled212ConditionsSocial Media, Corona Virus InfectionArmssurvey
3 · Its place in the literature

Who cites it

28 citing papers in PubMed, 46 citations in OpenAlex.

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  5. Factors impacting electronic patient-generated data use in safety-net systems: a qualitative study.Journal of the American Medical Informatics Association : JAMIA · 2025
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  20. Challenges and Opportunities in Using Telehealth for Diabetes Care.Diabetes spectrum : a publication of the American Diabetes Association · 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

4 authors at 2 institutions in 1 country.

Elaine C KhoongDivision of General Internal Medicine, Zuckerberg San Francisco General Hospital, University of California San Francisco, San Francisco, CA, United States.ORCID 0000-0002-2514-3572
Natalie A RivadeneiraDivision of General Internal Medicine, Zuckerberg San Francisco General Hospital, University of California San Francisco, San Francisco, CA, United States.ORCID 0000-0003-2421-9915
Robert A HiattDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, United States.ORCID 0000-0001-7174-8436
Urmimala SarkarDivision of General Internal Medicine, Zuckerberg San Francisco General Hospital, University of California San Francisco, San Francisco, CA, United States.ORCID 0000-0003-4213-4405
San Francisco General Hospital · USUniversity of California, San Francisco · US

Funding

Translational InformaticsP30CA082103 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Kate Taylor Shumate · 1999 to 2026
$209.7M
Institutional Career Development Core SupplementKL2TR001870 · NCATS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KANAYA, ALKA M., SARKAR, URMIMALA · 2016 to 2025
$19.7M
UCSF Career Development Program in Implementation Research in Heart and Lung DiseasesK12HL138046 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BIBBINS-DOMINGO, KIRSTEN, CATTAMANCHI, ADITHYA · 2017 to 2021
$2.9M
NCATS NIH HHS KL2 TR001870NCI NIH HHS P30 CA082103NHLBI NIH HHS K12 HL138046
6 · The paper itself

Abstract

backgroundTechnology is being increasingly used to communicate health information, but there is limited knowledge on whether these strategies are effective for vulnerable populations, including non-English speaking or low-income individuals.

objectiveThis study assessed how language preferences (eg, English, Spanish, or Chinese), smartphone ownership, and the type of clinic for usual source of care (eg, no usual source of care, nonintegrated safety net, integrated safety net, private or community clinic, academic tertiary medical center, or integrated payer-provider) affect technology use for health-related communication.

methodsFrom May to September 2017, we administered a nonrandom, targeted survey to 1027 English-, Spanish-, and Chinese-speaking San Francisco residents and used weighted multivariable logistic regression analyses to assess predictors of five technology use outcomes. The three primary predictors of interest-language preference, smartphone ownership, and type of clinic for usual care-were adjusted for age, gender, race or ethnicity, limited English proficiency, educational attainment, health literacy, and health status. Three outcomes focused on use of email, SMS text message, or phone apps to communicate with clinicians. The two other outcomes were use of Web-based health videos or online health support groups.

resultsNearly one-third of participants watched Web-based health videos (367/1027, 35.74%) or used emails to communicate with their clinician (318/1027, 30.96%). In adjusted analyses, individuals without smartphones had significantly lower odds of texting their clinician (adjusted odds ratio [aOR] 0.27, 95% CI 0.13-0.56), using online health support groups (aOR 0.14, 95% CI 0.04-0.55), or watching Web-based health videos (aOR 0.31, 95% CI 0.15-0.64). Relative to English-speaking survey respondents, individuals who preferred Chinese had lower odds of texting their clinician (aOR 0.25, 95% CI 0.08-0.79), whereas Spanish-speaking survey respondents had lower odds of using apps to communicate with clinicians (aOR 0.34, 95% CI 0.16-0.75) or joining an online support group (aOR 0.30, 95% CI 0.10-0.92). Respondents who received care from a clinic affiliated with the integrated safety net, academic tertiary medical center, or integrated payer-provider systems had higher odds than individuals without a usual source of care at using emails, SMS text messages, or apps to communicate with clinicians.

conclusionsIn vulnerable populations, smartphone ownership increases the use of many forms of technology for health purposes, but device ownership itself is not sufficient to increase the use of all technologies for communicating with clinicians. Language preference impacts the use of technology for health purposes even after considering English proficiency. Health system factors impact patients' use of technology-enabled approaches for communicating with clinicians. No single factor was associated with higher odds of using technology for all health purposes; therefore, existing disparities in the use of digital health tools among diverse and vulnerable populations can only be addressed using a multipronged approach.

Indexed as

CommunicationAdultAgedCohort StudiesCross-Sectional StudiesFemaleHealth LiteracyHumansInformation Seeking BehaviorMaleMiddle AgedMultilingualismSurveys and QuestionnairesUrban Healthconsumer health informationdigital dividehealth information technologyinternetphysician patient relationssocial mediavulnerable populations

Identifiers

PMID32250280
PMCPMC7171563
OpenAlexW3004276829

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.