Evidence map›Paper›PMID 35308156›Full record

ArticleDiabetes spectrum : a publication of the American Diabetes Association2022

Evaluating the Implementation of the Diabetes Self-Management Program in a Rural Population.

Kristin Pullyblank, Melissa Scribani, Lynae Wyckoff, Nicole Krupa, Jennifer Flynn, Carleen Henderson, David Strogatz

Open access · bronzeAbstract read
In one paragraph

Article in Diabetes spectrum : a publication of the American Diabetes Association, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 38% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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 at 1 institution in 1 country.

Kristin PullyblankBassett Research Institute, Bassett Medical Center, Cooperstown, NY.ORCID https://orcid.org/0000-0003-0200-1333
Melissa ScribaniBassett Research Institute, Bassett Medical Center, Cooperstown, NY.
Lynae WyckoffBassett Research Institute, Bassett Medical Center, Cooperstown, NY.
Nicole KrupaBassett Research Institute, Bassett Medical Center, Cooperstown, NY.
Jennifer FlynnBassett Research Institute, Bassett Medical Center, Cooperstown, NY.
Carleen HendersonBassett Research Institute, Bassett Medical Center, Cooperstown, NY.
David StrogatzBassett Research Institute, Bassett Medical Center, Cooperstown, NY.
Bassett Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The evidence-based Diabetes Self-Management Program (DSMP) has been shown to improve a variety of health-related outcomes, but the program has been challenging to implement in rural areas, and rural dissemination has been low. The purpose of this project was to evaluate the effect of implementing the DSMP on self-reported outcomes in a rural region. Through a collaboration with multiple partners, the Living Well program delivered 28 DSMP workshops from 2017 to 2019. Data were collected to determine whether there were post-intervention changes in patient-reported outcomes on measures of diabetes distress, self-management, and patient activation. In addition, secondary analysis of A1C was abstracted from the medical records of participants with type 2 diabetes who completed at least four sessions of a DSMP workshop between 2017 and 2019 and whose medical records had an A1C value in the year before the program and at least one A1C value >3 months after the program. Statistically significant improvements were seen for the Diabetes Distress Scale (

Identifiers

PMID35308156
PMCPMC8914590
OpenAlexW4206175281

What OpenQuestion holds

Textmetadata
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.