Evidence map›Paper›PMID 38166864›Full record

ArticleBMC endocrine disorders2024

"Once I take that one bite": the consideration of harm reduction as a strategy to support dietary change for patients with diabetes.

Alexzandra T Gentsch, Megan K Reed, Amy Cunningham, Anna Marie Chang, Stephanie Kahn, Danielle Kovalsky, Amanda M B Doty, Geoffrey Mills, Judd E Hollander, Kristin L Rising

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in BMC endocrine disorders, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02792777 (Concept Mapping as a Scalable Method for Identifying Patient-Important Outcomes), which is not on this map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.2field-weighted citation impact, top 23% 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.

NCT02792777 completednot on this map

Concept Mapping as a Scalable Method for Identifying Patient-Important Outcomes

TypeobservationalSponsorThomas Jefferson UniversityRan2016 to 2018Enrolled148ConditionsConcept Mapping Versus InterviewsArmsInterviews, Concept Mapping (CM)
3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
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

10 authors at 2 institutions in 1 country.

Alexzandra T GentschCenter for Connected Care, Thomas Jefferson University, 1015 Walnut Street, Suite 704, Philadelphia, PA, 19107, USA. Alexzandra.gentsch@jefferson.edu.
Megan K ReedCenter for Connected Care, Thomas Jefferson University, 1015 Walnut Street, Suite 704, Philadelphia, PA, 19107, USA.
Amy CunninghamDepartment of Family and Community Medicine, Thomas Jefferson University, Philadelphia, USA.
Anna Marie ChangCenter for Connected Care, Thomas Jefferson University, 1015 Walnut Street, Suite 704, Philadelphia, PA, 19107, USA.
Stephanie KahnCenter for Connected Care, Thomas Jefferson University, 1015 Walnut Street, Suite 704, Philadelphia, PA, 19107, USA.
Danielle KovalskyCenter for Connected Care, Thomas Jefferson University, 1015 Walnut Street, Suite 704, Philadelphia, PA, 19107, USA.
Amanda M B DotyCenter for Connected Care, Thomas Jefferson University, 1015 Walnut Street, Suite 704, Philadelphia, PA, 19107, USA.
Geoffrey MillsDepartment of Family and Community Medicine, Thomas Jefferson University, Philadelphia, USA.
Judd E HollanderCenter for Connected Care, Thomas Jefferson University, 1015 Walnut Street, Suite 704, Philadelphia, PA, 19107, USA.
Kristin L RisingCenter for Connected Care, Thomas Jefferson University, 1015 Walnut Street, Suite 704, Philadelphia, PA, 19107, USA.
Thomas Jefferson University · USReading Hospital · US

Funding

Patient-Centered Outcomes Research Institute ME-1503-28476
6 · The paper itself

Abstract

backgroundDespite well-established guidelines to treat diabetes, many people with diabetes struggle to manage their disease. For many, this struggle is related to challenges achieving nutrition-related lifestyle changes. We examined how people with diabetes describe barriers to maintaining a healthy diet and considered the benefits of using a harm reduction approach to assist patients to achieve nutrition-related goals.

methodsThis is a secondary analysis of 89 interviews conducted with adults who had type 1 or type 2 diabetes. Interviews were analyzed using a content analysis approach. Themes regarding food or diet were initially captured in a "food" node. Data in the food node were then sub-coded for this analysis, again using a content analysis approach.

resultsParticipants frequently used addiction language to talk about their relationship with food, at times referring to themselves as "an addict" and describing food as "their drug." Participants perceived their unhealthy food choices either as a sign of weakness or as "cheating." They also identified food's ability to comfort them and an unwillingness to change as particular challenges to sustaining a healthier diet.

conclusionParticipants often described their relationship with food through an addiction lens. A harm reduction approach has been associated with positive outcomes among those with substance abuse disorder. Patient-centered communication incorporating the harm reduction model may improve the patient-clinician relationship and thus improve patient outcomes and quality-of-life while reducing health-related stigma in diabetes care. Future work should explore the effectiveness of this approach in patients with diabetes.

trial registrationRegistered on ClinicalTrials.gov, NCT02792777. Registration information submitted 02/06/2016, with the registration first posted on the ClinicalTrials.gov website 08/06/2016. Data collection began on 29/04/2016.

Indexed as

Diabetes Mellitus, Type 2AdultDietFood PreferencesHarm ReductionHumansLife StyleDiabetesDietFoodHarm reduction

Identifiers

PMID38166864
PMCPMC10759378
OpenAlexW4390509751

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.