Evidence map›Paper›PMID 36800264›Full record

ReviewPsychosomatic medicine2023

Applying a Social Determinants of Health Framework to Guide Digital Innovations That Reduce Disparities in Chronic Disease.

Stephanie P Goldstein, Alison Tovar, Hallie M Espel-Huynh, Kristen Cooksey Stowers

Abstract readReview
In one paragraph

Review in Psychosomatic medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Article
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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

4 authors.

Stephanie P GoldsteinFrom the Weight Control and Diabetes Research Center, The Miriam Hospital, Providence, Rhode Island; Department of Psychiatry and Human Behavior (Goldstein, Espel-Huynh), Alpert Medical School of Brown University; Department of Behavioral and Social Sciences (Tovar), Brown University School of Public Health, Providence, Rhode Island; Allied Health Sciences (Stowers), University of Connecticut, Storrs; and Rudd Center for Food Policy and Health (Stowers), University of Connecticut, Hartford, Connecticut.
Alison Tovar
Hallie M Espel-Huynh
Kristen Cooksey Stowers

Funding

Optimizing Just-in-Time Adaptive Intervention to Improve Dietary Adherence in Behavioral Obesity Treatment: A Micro-randomized TrialR01HL153543 · NHLBI · MIRIAM HOSPITAL · PI GOLDSTEIN, STEPHANIE PAIGE · 2020 to 2023
$2.6M
Maximizing Online Obesity Treatment Response in the Primary Care Environment Using Clinical Decision SupportK23HL155733 · NHLBI · MIRIAM HOSPITAL · PI ESPEL-HUYNH, HALLIE · 2021 to 2021
$187k
NHLBI NIH HHS K23 HL155733NHLBI NIH HHS R01 HL153543
6 · The paper itself

Abstract

abstractChronic diseases are among the top causes of global death, disability, and health care expenditure. Digital health interventions (e.g., patient support delivered via technologies such as smartphones, wearables, videoconferencing, social media, and virtual reality) may prevent and mitigate chronic disease by facilitating accessible, personalized care. Although these tools have promise to reach historically marginalized groups, who are disproportionately affected by chronic disease, evidence suggests that digital health interventions could unintentionally exacerbate health inequities. This commentary outlines opportunities to harness recent advancements in technology and research design to drive equitable digital health intervention development and implementation. We apply "calls to action" from the World Health Organization Commission on Social Determinants of Health conceptual framework to the development of new, and refinement of existing, digital health interventions that aim to prevent or treat chronic disease by targeting intermediary, social, and/or structural determinants of health. Three mirrored "calls to action" are thus proposed for digital health research: a) develop, implement, and evaluate multilevel, context-specific digital health interventions; b) engage in intersectoral partnerships to advance digital health equity and social equity more broadly; and c) include and empower historically marginalized groups to develop, implement, and access digital health interventions. Using these "action items," we review several technological and methodological innovations for designing, evaluating, and implementing digital health interventions that have greater potential to reduce health inequities. We also enumerate possible challenges to conducting this work, including leading interdisciplinary collaborations, diversifying the scientific workforce, building trustworthy community relationships, and evolving health care and digital infrastructures.

Indexed as

Health EquitySocial Determinants of HealthChronic DiseaseDelivery of Health CareHumans

Identifiers

PMID36800264
PMCPMC10439976

What OpenQuestion holds

Textmetadata
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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.