Evidence map›Paper›PMID 37824481›Full record

ReviewPLOS digital health2023

Strategies and solutions to address Digital Determinants of Health (DDOH) across underinvested communities.

Casey Holmes Fee, Rachel Scarlett Hicklen, Sidney Jean, Nebal Abu Hussein, Lama Moukheiber, Michelle Foronda de Lota, Mira Moukheiber, Dana Moukheiber, Leo Anthony Celi, Irene Dankwa-Mullan

Abstract readReview
In one paragraph

Review in PLOS digital health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Article
  6. Review
  7. A scoping review and expert consensus on digital determinants of health.Bulletin of the World Health Organization · 2025
    Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Review
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

10 authors.

Casey Holmes FeeHealthcare Consultant, Newton, Massachusetts, United States of America.ORCID https://orcid.org/0000-0003-3305-4606
Rachel Scarlett HicklenResearch Medical Library, MD Anderson Cancer Center, Houston, Texas, United States of America.
Sidney JeanMassachusetts Executive Office of Health and Human Services, Boston, Massachusetts, United States of America.
Nebal Abu HusseinPulmonary, Critical Care and Sleep Medicine, Yale School of Medicine, New Haven, Connecticut, United States of America.
Lama MoukheiberInstitute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America.
Michelle Foronda de LotaUniversity of Arizona, Tucson, Arizona, United States of America.ORCID https://orcid.org/0000-0001-7530-1738
Mira MoukheiberPicower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America.
Dana MoukheiberInstitute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America.
Leo Anthony CeliInstitute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America.
Irene Dankwa-MullanMarti Health, Atlanta, Georgia, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Healthcare has long struggled to improve services through technology without further widening health disparities. With the significant expansion of digital health, a group of healthcare professionals and scholars from across the globe are proposing the official usage of the term "Digital Determinants of Health" (DDOH) to explicitly call out the relationship between technology, healthcare, and equity. This is the final paper in a series published in PLOS Digital Health that seeks to understand and summarize current knowledge of the strategies and solutions that help to mitigate the negative effects of DDOH for underinvested communities. Through a search of English-language Medline, Scopus, and Google Scholar articles published since 2010, 345 articles were identified that discussed the application of digital health technology among underinvested communities. A group of 8 reviewers assessed 132 articles selected at random for the mention of solutions that minimize differences in DDOH. Solutions were then organized by categories of policy; design and development; implementation and adoption; and evaluation and ongoing monitoring. The data were then assessed by category and the findings summarized. The reviewers also looked for common themes across the solutions and evidence of effectiveness. From this limited scoping review, the authors found numerous solutions mentioned across the papers for addressing DDOH and many common themes emerged regardless of the specific community or digital health technology under review. There was notably less information on solutions regarding ongoing evaluation and monitoring which corresponded with a lack of research evidence regarding effectiveness. The findings directionally suggest that universal strategies and solutions can be developed to address DDOH independent of the specific community under focus. With the need for the further development of DDOH measures, we also provide a framework for DDOH assessment.

Identifiers

PMID37824481
PMCPMC10569606

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.