ArticleApplied clinical informatics2022
An Evidence-Based Roadmap for the Provision of More Equitable Telemedicine.
Article in Applied clinical informatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.
- Strategies to improve telehealth access for culturally and linguistically diverse communities: a systematic review.Journal of public health (Oxford, England) · 2025Pooled it
- Digital Health Technology Use Among Spanish Speakers in the US: A Scoping Review.JAMA network open · 2025Article
- Six Steps to Improving Health Equity Using Quality Improvement and Patient Safety Tools.Radiology · 2025Review
- Association Between Video-Based Telemedicine Visits and Medication Adherence Among Patients With Heart Failure: Retrospective Cross-Sectional Study.JMIR cardio · 2024Article
- A Prescription for Internet: Feasibility of a Tablet Loaner Program to Address Digital Health Inequities.Applied clinical informatics · 2023Article
- Telemedicine Use across Medical Specialties and Diagnoses.Applied clinical informatics · 2023Article
- AMIA's Focus on Diversity, Equity, and Inclusion.Applied clinical informatics · 2022Article
- The evolution of health system planning and implementation of maternal telehealth services during the COVID-19 Pandemic.Digital healthArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveDuring the coronavirus disease 2019 pandemic, as a safety-net organization with a substantial percentage of patients of color and with limited English proficiency (LEP), we were wary of furthering health disparities in our community. We analyzed gaps in telemedicine (telephone and video) delivery in our communities, quantified the effects of our tests of change, and began the process of accumulating evidence to create a road map for other organizations.
methodsWe leveraged Lean problem-solving strategies to identify modifiable gaps across multiple domains that could inhibit equity in telemedicine. We implemented tests of change across domains of community engagement, technology, education, and access. We observed the proportion of telemedicine encounters across races and languages between April and November, 2020. Regression analyses tested the impact of race and language on telemedicine controlling for age, gender, insurance, and time.
resultsSeveral rounds of changes and enhancements were associated with changes in telemedicine use of +5.5% (
conclusionOur roadmap to improve equitable delivery of telemedicine was associated with a significant improvement in telemedicine use among certain minority populations. Most populations of color used telephone more often than video. This preference changed over time and with equity-focused changes in telemedicine delivery.
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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.