Evidence map›Paper›PMID 35029531›Full record

ArticleJMIR human factors2022

Web-Based Structured Education for Type 2 Diabetes: Interdisciplinary User-Centered Design Approach.

Shoba Poduval, Jamie Ross, Kingshuk Pal, Nikki Newhouse, Fiona Hamilton, Elizabeth Murray

Open access · goldAbstract read
In one paragraph

Article in JMIR human factors, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 34% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. 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

6 authors at 2 institutions in 1 country.

Shoba PoduvalResearch Department of Primary Care & Population Health, University College London, London, United Kingdom.ORCID https://orcid.org/0000-0002-3049-123X
Jamie RossResearch Department of Primary Care & Population Health, University College London, London, United Kingdom.ORCID https://orcid.org/0000-0001-8720-5911
Kingshuk PalResearch Department of Primary Care & Population Health, University College London, London, United Kingdom.ORCID https://orcid.org/0000-0001-6630-6684
Nikki NewhouseNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.ORCID https://orcid.org/0000-0001-9002-3588
Fiona HamiltonResearch Department of Primary Care & Population Health, University College London, London, United Kingdom.ORCID https://orcid.org/0000-0002-3126-5074
Elizabeth MurrayResearch Department of Primary Care & Population Health, University College London, London, United Kingdom.ORCID https://orcid.org/0000-0002-8932-3695
University College London · GBUniversity of Oxford · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDigital health research encompasses methods from human-computer interaction and health research.

objectiveThis paper aims to describe how these methods were combined to develop HeLP-Diabetes: Starting Out, a web-based structured education program for people newly diagnosed with type 2 diabetes.

methodsThe development process consisted of three phases: initial design for effectiveness, optimization for usability, and in the wild testing in the National Health Service with people newly diagnosed with type 2 diabetes, and further revisions. We adopted an iterative user-centered approach and followed steps from the human-computer interaction design life cycle and the Medical Research Council guidelines on developing and evaluating complex interventions.

resultsThe initial design process resulted in an 8-session program containing information and behavior change techniques targeting weight loss, being more active, and taking medication. The usability testing was highlighted at an early stage, where changes needed to be made to the language and layout of the program. The in the wild testing provided data on uptake of and barriers to use. The study suggested low uptake and completion of the program, but those who used it seemed to benefit from it. The qualitative findings suggested that barriers to use included an expectation that the program would take too long. This informed refinements to the program.

conclusionsThe use of interdisciplinary methods resulted in an iterative development process and refinements to the program that were based on user needs and data on uptake. The final intervention was more suitable for a definitive evaluation than the initial version. The description of our approach informs other digital health researchers on how to make interventions more sensitive to user needs.

Indexed as

diabetes educationdigital healthpatient self-managementprimary caretype 2 diabetes

Identifiers

PMID35029531
PMCPMC8800092
OpenAlexW3206653155

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.