Evidence map›Paper›PMID 25594073›Full record

ArticleJournal of bioinformatics and diabetes2014

What do primary care prediabetes patients need? A baseline assessment of patients engaging in a technology-enhanced lifestyle intervention.

Jennifer M Kolb, Nicole R Kitos, Ambili Ramachandran, Jenny J Lin, Devin M Mann

Abstract read
In one paragraph

Article in Journal of bioinformatics and diabetes, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
–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

8 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  3. Trial
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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

5 authors.

Jennifer M KolbIcahn School of Medicine at Mount Sinai, New York, NY, USA.
Nicole R KitosSection of Preventive Medicine and Epidemiology, Boston University/Boston Medical Center, Boston, MA, USA.
Ambili RamachandranSection of General Medicine, Boston University/Boston Medical Center, Boston, MA, USA.
Jenny J LinDivision of General Internal Medicine, Department of Medicine, Mount Sinai School of Medicine, New York, NY, USA.
Devin M Mann

Funding

Diabetes Risk Communication Tool to Improve Lifestyle BehaviorsK23DK081665 · NIDDK · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI MANN, DEVIN M · 2009 to 2013
$875k
Impact of Cancer on Adherence in DiabetesK07CA166462 · NCI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI LIN, JENNY J. · 2013 to 2017
$846k
NCI NIH HHS K07 CA166462NIDDK NIH HHS K23 DK081665
6 · The paper itself

Abstract

objectiveThis study assessed the baseline knowledge, perceptions, attitudes and behaviors of prediabetes patients in order to tailor a new technology-enhanced primary care-based lifestyle modification intervention.

methodsPatients with a diagnosis of prediabetes were enrolled in a randomized, controlled pilot study, Avoiding Diabetes Thru Action Plan Targeting (ADAPT), a technology-based intervention to promote action plan discussions around patient-selected behavior change goals.

resultsA total of 54 adults (82% female) were enrolled in the pilot study. Most (89%) had comorbid conditions and mean BMI was 36. Participants exhibited high risk of diabetes knowledge (knowledge score 20 on a 32 point scale) and high levels of willingness to make changes to decrease diabetes risk. Number of daily steps was inversely correlated with perceived physical activity (r=-0.35082, p<0.001). Poorer scores on diet quality were inversely correlated with BMI.

conclusionParticipants in this sample demonstrated requisite levels of knowledge, self-efficacy, motivation and risk perception for effective behavior change. These data suggest that primary care-based prediabetes interventions can move beyond educational goals and focus on enhancing patients' ability to select, plan and enact action plans.

Indexed as

Behavior ModificationPrediabetesRisk-PerceptionSelf-EfficacyType II Diabetes Mellitus

Identifiers

PMID25594073
PMCPMC4291122

What OpenQuestion holds

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LicenceTDM
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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.