Evidence map›Paper›PMID 35200043›Full record

ArticlePopulation health management2022

Reach of a Fully Digital Diabetes Prevention Program in Health Professional Shortage Areas.

Lisa A Auster-Gussman, Kimberly G Lockwood, Sarah A Graham, Natalie Stein, OraLee H Branch

Open access · hybridAbstract read
In one paragraph

Article in Population health management, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 11% of its field
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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Observational
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
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

5 authors at 2 institutions in 1 country.

Lisa A Auster-GussmanClinical Studies and Research, Lark Health, Mountain View, California, USA.ORCID 0000-0002-3294-1708
Kimberly G LockwoodClinical Studies and Research, Lark Health, Mountain View, California, USA.
Sarah A GrahamClinical Studies and Research, Lark Health, Mountain View, California, USA.
Natalie SteinClinical Studies and Research, Lark Health, Mountain View, California, USA.
OraLee H BranchClinical Studies and Research, Lark Health, Mountain View, California, USA.
Mountain View Clinical Research · USUniversity of California, San Francisco · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The National Diabetes Prevention Program (NDPP) offers lifestyle change education to adults at risk for diabetes across the United States, but its reach is curbed due, in part, to limitations of traditional in-person programs. Diabetes Prevention Programs (DPPs) that are fully digital may increase reach by overcoming these barriers. The aim of this research was to examine the reach of Lark's DPP, a fully digital artificial-intelligence-powered DPP. This study assessed geographic features and demographic characteristics of a sample of Lark DPP commercial health plan members with complete data (

Indexed as

Diabetes Mellitus, Type 2Prediabetic StateAdultBody Mass IndexHumansLife StyleUnited Statesartificial intelligencediabetes prevention programdigital healthprediabetesrural health

Identifiers

PMID35200043
PMCPMC9419962
OpenAlexW4213417200

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.