Evidence map›Paper›PMID 35672064›Full record

ArticleBMJ open2022

Designing an online intervention for adults with addictive eating: a qualitative integrated knowledge translation approach.

Mark Leary, Kirrilly Pursey, Antonio Verdejo-García, Janelle Skinner, Megan C Whatnall, Phillipa Hay, Clare Collins, Amanda L Baker, Tracy Burrows

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

6 citing papers in PubMed, 11 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Article
  4. Review
  5. Article
  6. 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

9 authors at 3 institutions in 1 country.

Mark LearyCollege of Health Medicine and Wellbeing, The University of Newcastle and Hunter Medical Research Institute, Newcastle, New South Wales, Australia.ORCID 0000-0001-6175-8331
Kirrilly PurseyCollege of Health Medicine and Wellbeing, The University of Newcastle and Hunter Medical Research Institute, Newcastle, New South Wales, Australia.
Antonio Verdejo-GarcíaMonash University, Clayton, Victoria, Australia.
Janelle SkinnerCollege of Health Medicine and Wellbeing, The University of Newcastle and Hunter Medical Research Institute, Newcastle, New South Wales, Australia.
Megan C WhatnallCollege of Health Medicine and Wellbeing, The University of Newcastle and Hunter Medical Research Institute, Newcastle, New South Wales, Australia.
Phillipa HayWestern Sydney University, Penrith South, New South Wales, Australia.ORCID 0000-0003-0296-6856
Clare CollinsCollege of Health Medicine and Wellbeing, The University of Newcastle and Hunter Medical Research Institute, Newcastle, New South Wales, Australia.
Amanda L BakerCollege of Health Medicine and Wellbeing, The University of Newcastle and Hunter Medical Research Institute, Newcastle, New South Wales, Australia.
Tracy BurrowsCollege of Health Medicine and Wellbeing, The University of Newcastle and Hunter Medical Research Institute, Newcastle, New South Wales, Australia Tracy.Burrows@newcastle.edu.au.
Hunter Medical Research Institute · AUMonash University · AUWestern Sydney University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionCodesign is a meaningful end-user engagement in research design. The integrated knowledge translation (IKT) framework involves adopting a collaborative research approach to produce and apply knowledge to address real-world needs, resulting in useful and useable recommendations that will more likely be applied in policy and practice. In the field of food addiction (FA), there are limited treatment options that have been reported to show improvements in FA symptoms.

objectivesThe primary aim of this paper is to describe the step-by-step codesign and refinement of a complex intervention delivered via telehealth for adults with FA using an IKT approach. The secondary aim is to describe our intervention in detail according to the TIDieR checklist.

designThis study applies the IKT process and describes the codesign and refinement of an intervention through a series of online meetings, workshops and interviews.

participantsThis study included researchers, clinicians, consumers and health professionals. PRIMARY OUTCOME MEASURE: The primary outcome was a refined intervention for use in adults with symptoms of FA for a research trial.

resultsA total of six female health professionals and five consumers (n=4 female) with lived overeating experience participated in two interviews lasting 60 min each. This process resulted in the identification of eight barriers and three facilitators to providing and receiving treatment for FA, eight components needed or missing from current treatments, telehealth as a feasible delivery platform, and refinement of key elements to ensure the intervention met the needs of both health professionals and possible patients.

conclusionUsing an IKT approach allowed for a range of viewpoints and enabled multiple professions and disciplines to engage in a semiformalised way to bring expertise to formulate a possible intervention for FA. Mapping the intervention plan to the TIDieR checklist for complex interventions, allowed for detailed description of the intervention and the identification of a number of areas that needed to be refined before development of the finalised intervention protocol.

Indexed as

Internet-Based InterventionTelemedicineDelivery of Health CareFemaleHumansTranslational Research, BiomedicalTranslational Science, Biomedicalmental healthnutrition & dieteticstelemedicine

Identifiers

PMID35672064
PMCPMC9174813
OpenAlexW4281947243

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.