Evidence map›Paper›PMID 32324138›Full record

ArticleJournal of medical Internet research2020

Spoken Animated Self-Management Video Messages Aimed at Improving Physical Activity in People With Type 2 Diabetes: Development and Interview Study.

Colette van Het Schip, Kei Long Cheung, Stan Vluggen, Ciska Hoving, Nicolaas C Schaper, Hein de Vries

Abstract readInterview
In one paragraph

Article in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. 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

6 authors.

Colette van Het SchipDepartment of Physiotherapy, Faculty of Health, Amsterdam University of Applied Sciences, Amsterdam, Netherlands.ORCID 0000-0002-4718-5159
Kei Long CheungDepartment of Clinical Sciences, College of Health and Life Sciences, Brunel University London, London, United Kingdom.ORCID 0000-0001-7648-4556
Stan VluggenCaphri School of Public Health and Primary Care, Health Promotion, Maastricht University, Maastricht, Netherlands.ORCID 0000-0001-6870-5347
Ciska HovingCaphri School of Public Health and Primary Care, Health Promotion, Maastricht University, Maastricht, Netherlands.ORCID 0000-0003-1357-863X
Nicolaas C SchaperDepartment of Endocrinology and Internal Medicine, Maastricht University Medical Centre, Maastricht, Netherlands.ORCID 0000-0002-2128-8029
Hein de VriesCaphri School of Public Health and Primary Care, Health Promotion, Maastricht University, Maastricht, Netherlands.ORCID 0000-0002-3640-2517

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWeb-based tailored interventions are a promising approach to help people with type 2 diabetes successfully adopt regular physical activity. Spoken animation seems to be effective regardless of the characteristics of the user and may be a relevant strategy to communicate complex health information.

objectiveThe objectives of our study were to evaluate (1) pretesting communication elements and user appreciation, and (2) the applied behavior change techniques of the previously designed spoken animated video messages in a tailored self-management program for people with type 2 diabetes.

methodsWe conducted semistructured interviews with patients with type 2 diabetes recruited from general practices located in different socioeconomic status urban neighborhoods. Based on the pretesting key communication elements of Salazar's model, we asked participants about the spoken animated video messages' attractiveness, comprehensibility, acceptance, believability, involvement, and relevance and to what extent the video messages motivated them to become more physically active. We also assessed participants' intention to use the spoken animated video messages and to recommend them to others. To evaluate participants' appreciation of the different applied behavior change techniques, we conducted a post hoc analysis of the qualitative data using the MAXQDA program. Transcripts were coded by 2 coders using iterative qualitative content analysis methods to uncover key health communication issues.

resultsOf 23 patients who expressed an interest in participating, 17 met the inclusion criteria and 15 took part in the interviews. The positive appreciation of the comprehensibility, believability, and personalization was supported by participants' statements on behavior change techniques and other communication elements. Reinforcement of and feedback on participants' answers were positively evaluated as was the simplicity and concreteness of the spoken animated video messages. Most participants indicated reasons for not feeling motivated to increase their physical activity level, including being already sufficiently physically active and the presence of other impeding health factors.

conclusionsSpoken animated video messages should be simple, short, concrete, and without the use of medical terminology. Providing positive reinforcement, feedback on participants' answers, examples that match user characteristics, and the possibility to identify with the animation figures will enhance involvement in the health message. To connect more with patients' needs and thereby increase the perceived relevance of and motivation to use an animated video program, we suggest offering the program soon after diabetes mellitus is diagnosed. We recommend piloting behavior change techniques to identify potential resistance.

Indexed as

AgedDiabetes Mellitus, Type 2ExerciseFemaleHumansMaleMiddle AgedSelf-ManagementTelemedicineVideotape Recordinganimationcomputer tailoringdiabetes mellitus, type 2exercisehealth literacyinternet-based interventionself-managementtelemedicine

Identifiers

PMID32324138
PMCPMC7206523

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.