Evidence map›Paper›PMID 31105938›Full record

ArticleSAGE open medicine2019

Behavior stages of a physician- and coach-supported cloud-based diabetes prevention program for people with prediabetes.

Pallavi Srivastava, Ashish Verma, Christine Geronimo, Terry M Button

Abstract read
In one paragraph

Article in SAGE open medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
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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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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.

Pallavi SrivastavaProgram in Public Health, Stony Brook Medicine, Stony Brook, NY, USA.
Ashish VermaEvidence Based Medical Apps LLC, Middle Island, NY, USA.
Christine GeronimoCaring Family Medicine, Middle Island, NY, USA.
Terry M ButtonEvidence Based Medical Apps LLC, Middle Island, NY, USA.ORCID https://orcid.org/0000-0001-7124-3825

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionCenters for Disease Control and Prevention Diabetes Prevention Program recognition requires successful program completion by a cohort of at least five people with prediabetes. Such programs have generally been "in-person" and provided by a qualified coach from a recognized program. A cohort of 10 patients with prediabetes was enrolled in a physician's office to use the cloud-based Type II Diabetes Prevention Module in an effort to achieve recognition. Module use was supported by the physician and a qualified coach. The purpose of this article is to evaluate Module performance relative to behavior stages associated with long-term behavior modification.

methodsThe Module employs a web application supporting diabetes prevention education and a mobile application that is an electronic diary and virtual coach. A dashboard allows an efficient review of user performance and the ability to send users notifications of support from the user's coach or physician. The cohort of 10 patients with prediabetes was offered Module use upon diagnosis of prediabetes.

resultsAll 10 patients with prediabetes offered Module use agreed participation. Six have completed educational sessions, made diary entries, and have met the 5% Centers for Disease Control and Prevention Diabetes Prevention Program weight loss target prior to 6 months of Module use. This high success rate (60%) is contrary to behavior stages often associated with long-term behavior modification.

conclusionThe strength of the physician-patient relationship appears to allow patients with prediabetes to skip or advance rapidly through behavioral stages in the process of lifestyle modification.

Indexed as

behavior changedashboardDiabetes Prevention Programmobile applicationnotificationsPrediabetes

Identifiers

PMID31105938
PMCPMC6509979

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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.