ArticleJMIR public health and surveillance2024
Defining the Dimensions of Diversity to Promote Inclusion in the Digital Era of Health Care: A Lexicon.
Article in JMIR public health and surveillance, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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
9 citing papers in PubMed, 8 citations in OpenAlex.
- Integrated analysis of two randomized controlled trials of a digital therapeutic for episodic migraine prevention.NPJ digital medicine · 2026Article
- Enhancing health literacy and patient engagement through a privacy-aware social network-based digital health communication framework.Frontiers in public health · 2026Article
- Development of a Smart Health Care Service Using Metaverse and Chatbot Technologies for Adolescents, Parents, and School Health Teachers: User-Centered Design Approach.Journal of medical Internet research · 2025Article
- Veteran participation in the All of Us Research Program: applying an intersectionality lens to evaluate participant diversity.BMC medical research methodology · 2025Article
- Precision nutrition for cardiometabolic diseases.Nature medicine · 2025Review
- Digital Disparities in Healthcare: A Tale of the Haves and Have-Nots?Journal of patient experience · 2025Article
- Reforming Uganda's digital health data systems: A policy analysis for inclusive, equitable, and decolonised data governance.Digital healthReview
- Toward demographic robustness in digital patient twins: Addressing the gender data gap.Digital healthArticle
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The pandemic provided a stark reminder of the inequities faced by populations historically marginalized by the health care system and accelerated the adoption of digital health technologies to drive innovation. Digital health technologies' purported promises to reduce inefficiencies and costs, improve access and health outcomes, and empower patients add a new level of urgency to health equity. As conventional medicine shifts toward digital medicine, we have the opportunity to intentionally develop and deploy digital health technologies with an inclusion focus. The first step is ensuring that the multiple dimensions of diversity are captured. We propose a lexicon that encompasses elements critical for implementing an inclusive approach to advancing health care quality and health services research in the digital era.
Indexed as
Identifiers
What OpenQuestion holds
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.