Evidence map›Paper›PMID 35982146›Full record

ReviewNPJ digital medicine2022

A framework for digital health equity.

Safiya Richardson, Katharine Lawrence, Antoinette M Schoenthaler, Devin Mann

Abstract readReview
In one paragraph

Review in NPJ digital medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 342 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
342citing papers in PubMed, 7 pooled it
–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

342 citing papers in PubMed, 7 syntheses or guidelines pooled it.

  1. Personalizing cancer risk: a systematic review of risk communication strategies.Journal of cancer research and clinical oncology · 2026
    Pooled it
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  10. Feasibility of a co-designed and personalised intervention to improve vegetable intake in rural-dwelling young adults.The international journal of behavioral nutrition and physical activity · 2025
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282 more citing papers are in PubMed but not listed here.

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.

Safiya RichardsonNew York University Grossman School of Medicine, New York City, NY, USA. safiya.richardson@nyulangone.org.
Katharine LawrenceNew York University Grossman School of Medicine, New York City, NY, USA.ORCID http://orcid.org/0000-0001-5640-2138
Antoinette M SchoenthalerNew York University Grossman School of Medicine, New York City, NY, USA.
Devin MannNew York University Grossman School of Medicine, New York City, NY, USA.ORCID http://orcid.org/0000-0002-2099-0852

Funding

i-Matter: Investigating an mHealth texting tool for embedding patient-reported data into diabetes managementR01HS026522 · AHRQ · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI MANN, DEVIN M, SCHOENTHALER, ANTOINETTE M · 2018 to 2024
$2.7M
Nudging Provider Adoption of Clinical Decision SupportK23HL145114 · NHLBI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI RICHARDSON, SAFIYA · 2019 to 2023
$863k
AHRQ HHS R01 HS026522NHLBI NIH HHS K23 HL145114
6 · The paper itself

Abstract

We present a comprehensive Framework for Digital Health Equity, detailing key digital determinants of health (DDoH), to support the work of digital health tool creators in industry, health systems operations, and academia. The rapid digitization of healthcare may widen health disparities if solutions are not developed with these determinants in mind. Our framework builds on the leading health disparities framework, incorporating a digital environment domain. We examine DDoHs at the individual, interpersonal, community, and societal levels, discuss the importance of a root cause, multi-level approach, and offer a pragmatic case study that applies our framework.

Identifiers

PMID35982146
PMCPMC9387425

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.