Evidence mapPaperPMID 35384853Full record

ArticleJMIR formative research2022

Digital Health-Enabled Community-Centered Care: Scalable Model to Empower Future Community Health Workers Using Human-in-the-Loop Artificial Intelligence.

Sarah M Rodrigues, Anil Kanduri, Adeline Nyamathi, Nikil Dutt, Pramod Khargonekar, Amir M Rahmani

Abstract read
In one paragraph

Article in JMIR formative research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Review
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  15. What Matters to Patients: Community-Engaged Design for Healthcare-Related Serious Games.Proceedings of the ... European conference on games based learning. European Conference on Games Based Learning, author · 2024
    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

6 authors.

Sarah M RodriguesSue & Bill Gross School of Nursing, University of California, Irvine, CA, United States.ORCID https://orcid.org/0000-0002-5514-9190
Anil KanduriDepartment of Computing, University of Turku, Turku, Finland.ORCID https://orcid.org/0000-0003-3188-8703
Adeline NyamathiSue & Bill Gross School of Nursing, University of California, Irvine, CA, United States.ORCID https://orcid.org/0000-0003-4979-6620
Nikil DuttDepartment of Computer Science, University of California, Irvine, CA, United States.ORCID https://orcid.org/0000-0002-3060-8119
Pramod KhargonekarDepartment of Electrical Engineering and Computer Science, University of California, Irvine, CA, United States.ORCID https://orcid.org/0000-0001-6634-6950
Amir M RahmaniSue & Bill Gross School of Nursing, University of California, Irvine, CA, United States.ORCID https://orcid.org/0000-0003-0725-1155

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Digital health-enabled community-centered care (D-CCC) represents a pioneering vision for the future of community-centered care. D-CCC aims to support and amplify the digital footprint of community health workers through a novel artificial intelligence-enabled closed-loop digital health platform designed for, and with, community health workers. By focusing digitalization at the level of the community health worker, D-CCC enables more timely, supported, and individualized community health worker-delivered interventions. D-CCC has the potential to move community-centered care into an expanded, digitally interconnected, and collaborative community-centered health and social care ecosystem of the future, grounded within a robust and digitally empowered community health workforce.

Indexed as

AIAI-enabled health deliveryartificial intelligencecollaborative healthcommunity-centered carecommunity healthcommunity health workerdigital empowermentdigital healtheHealthindividualized deliveryinterventionsmobile phonesocial care

Identifiers

PMID35384853
PMCPMC9021941

What Socratic 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 Socratic graph.