Evidence map›Paper›PMID 24534767›Full record

ArticleInternational journal of environmental research and public health2014

Beginning a patient-centered approach in the design of a diabetes prevention program.

Richard W Seidel, Kimberlee A Pardo, Paul A Estabrooks, Emptyyn Y WenYou, Sarah S Wall, Brenda M Davy, Fabio A Almeida

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Trial
  2. Article
  3. 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

7 authors.

Richard W SeidelDepartment of Psychiatry, Virginia Tech Carilion School of Medicine, 2017 South Jefferson Street, Roanoke, VA 24014, USA. rwseidel@carilionclinic.org.
Kimberlee A PardoFralin Translational Obesity Research Center, Department of Human Nutrition, Foods and Exercise, Virginia Tech, 215 War Memorial Hall, Blacksburg, VA 24061, USA. skim13@vt.edu.
Paul A EstabrooksFralin Translational Obesity Research Center, Department of Human Nutrition, Foods and Exercise, Virginia Tech, 215 War Memorial Hall, Blacksburg, VA 24061, USA. paestabrooks@carilionclinic.org.
Emptyyn Y WenYouFralin Translational Obesity Research Center, Department of Human Nutrition, Foods and Exercise, Virginia Tech, 215 War Memorial Hall, Blacksburg, VA 24061, USA. wenyou@vt.edu.
Sarah S WallFralin Translational Obesity Research Center, Department of Human Nutrition, Foods and Exercise, Virginia Tech, 215 War Memorial Hall, Blacksburg, VA 24061, USA. sarahsw@vt.edu.
Brenda M DavyFralin Translational Obesity Research Center, Department of Human Nutrition, Foods and Exercise, Virginia Tech, 215 War Memorial Hall, Blacksburg, VA 24061, USA. bdavy@vt.edu.
Fabio A AlmeidaFralin Translational Obesity Research Center, Department of Human Nutrition, Foods and Exercise, Virginia Tech, 215 War Memorial Hall, Blacksburg, VA 24061, USA. falmeida@vt.edu.

Funding

The Reach and Effectiveness of Technology-Enhanced Diabetes Prevention ProgramsR18DK091811 · NIDDK · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI ALMEIDA, FABIO ARAUJO · 2012 to 2016
$3.2M
NIDDK NIH HHS R18 DK091811NIDDK NIH HHS R18DK091811
6 · The paper itself

Abstract

objectiveThe purpose of this study was to identify patient preferences for different components of a local diabetes prevention program that would improve reach. A secondary purpose was to determine if patient characteristics were related to program preferences.

methodsParticipants were identified through electronic medical records from two family medicine clinics in Virginia. Participants completed a mailed survey addressing demographics, economic status, risk factors for diabetes, and preferences regarding diabetes prevention interventions-delivery mode, program length, and duration.

resultsTwenty-nine percent of eligible participants responded (n = 142); 83% of participants were at risk for diabetes and 82% had a household income <$20,000. When presented with the choice between a class-based vs. a technology-based program, 83% preferred a technology-based program. Whites were less likely to choose the technology-based program, with no significant differences based on age, education, income, or gender.

conclusionsContrary to beliefs that lower income individuals may not use technology-based interventions, lower socioeconomic patients indicated a preference for a technology- and telephone-supported diabetes prevention program over in-person class approaches. Findings provide formative data to support the design of a patient-centered, technology-enhanced diabetes prevention program in a real-world setting, thereby increasing potential participation and reach.

Indexed as

Patient-Centered CareAdultDiabetes Mellitus, Type 2FemaleHealth PromotionHumansLogistic ModelsMaleMiddle AgedPatient Preference

Identifiers

PMID24534767
PMCPMC3945581

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.