Evidence map›Paper›PMID 39040864›Full record

ArticleFrontiers in public health2024

Lessons learned from a multi-site collaborative working toward a digital health use screening tool.

Ann M Hernandez, Elaine C Khoong, Neytali Kanwar, Naomi Lopez-Solano, Jorge A Rodriguez, Emilia De Marchis, Oanh Kieu Nguyen, Alejandra Casillas

Abstract read
In one paragraph

Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

8 authors.

Ann M HernandezDepartment of Family Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA, United States.
Elaine C KhoongDivision of General Internal Medicine at Zuckerberg San Francisco General Hospital, Department of Medicine, University of California, San Francisco, San Francisco, CA, United States.
Neytali KanwarSchool of Medicine, University of California, San Francisco, San Francisco, CA, United States.
Naomi Lopez-SolanoDivision of Hospital Medicine at Zuckerberg San Francisco General Hospital, Department of Medicine, University of California, San Francisco, San Francisco, CA, United States.
Jorge A RodriguezDivision of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, MA, United States.
Emilia De MarchisDepartment of Family and Community Medicine, University of California, San Francisco, San Francisco, CA, United States.
Oanh Kieu NguyenUCSF Action Research Center (ARC) for Health Equity, University of California, San Francisco, San Francisco, CA, United States.
Alejandra CasillasDivision of General Internal Medicine and Health Services Research, Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA, United States.

Funding

RESOURCE CENTER FOR AGING RESEARCH IN DIVERSE POPULATIONP30AG015272 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Torsten Brian Neilands · 1997 to 2026
$19.5M
Toward Technology Equity: Extending Telemedicine to Latino Patients with Type II DiabetesK23MD016439 · NIMHD · BRIGHAM AND WOMEN'S HOSPITAL · PI RODRIGUEZ, JORGE A · 2021 to 2025
$985k
Addressing Social Vulnerabilities to Prevent Hospital Readmissions in Adults with Cardiovascular DiseaseK23HL133441 · NHLBI · UT SOUTHWESTERN MEDICAL CENTER · PI NGUYEN, OANH KIEU · 2017 to 2021
$932k
Designing a Remote Monitoring Intervention for Value & Equity in Hypertension (DRIVE-HTN)K23HL157750 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KHOONG, ELAINE · 2021 to 2025
$921k
Understanding the Impact of Technology Access and Digital Literacy on Post-Discharge Care and Hospital Readmissions in Adults with Cardiovascular DiseaseR03HL157931 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI NGUYEN, OANH KIEU · 2021 to 2022
$162k
NHLBI NIH HHS K23 HL133441NHLBI NIH HHS K23 HL157750NHLBI NIH HHS R03 HL157931NIA NIH HHS P30 AG015272NIMHD NIH HHS K23 MD016439NIMHD NIH HHS L32 MD018892
6 · The paper itself

Abstract

Digital health has the potential to expand health care and improve outcomes for patients-particularly for those with challenges to accessing in-person care. The acceleration of digital health (and particularly telemedicine) prompted by the Coronavirus-19 (COVID-19) pandemic facilitated continuity of care in some settings but left many health systems ill-prepared to address digital uptake among patients from underserved backgrounds, who already experience health disparities. As use of digital health grows and the digital divide threatens to widen, healthcare systems must develop approaches to evaluate patients' needs for digital health inclusion, and consequentially equip patients with the resources needed to access the benefits of digital health. However, this is particularly challenging given the absence of any standardized, validated multilingual screening instrument to assess patients' readiness for digital healthcare that is feasible to administer in already under-resourced health systems. This perspective is structured as follows: (1) the need for digital health exclusion risk screening, (2) our convening as a group of stakeholders, (3) our review of the known digital health screening tools and our assessment, (4) formative work with patients regarding their perceptions on language and concepts in the digital health screening tools, and (5) conclusion with recommendations for digital health advocates generated by this collaborative of digital health researchers and operations leaders. There is a need to develop a brief, effective tool to screen for digital health use that can be widely implemented in diverse populations. We include lessons learned from our experiences in developing and testing risk of digital health exclusion screening questions in our respective health systems (e.g., patient perception of questions and response options). Because we recognize that health systems across the country may be facing similar challenges and questions, this perspective aims to inform ongoing efforts in developing health system digital exclusion screening tools and advocate for their role in advancing digital health equity.

Indexed as

COVID-19TelemedicineDigital HealthHumansMass ScreeningSARS-CoV-2digital divide (DD)digital health (eHealth)digital health technology (DHT)health equity (MeSH)social determinants of health

Identifiers

PMID39040864
PMCPMC11260723

What OpenQuestion holds

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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.