Evidence map›Paper›PMID 34932004›Full record

ArticleJMIR pediatrics and parenting2021

Toward a Behavior Theory-Informed and User-Centered Mobile App for Parents to Prevent Infant Falls: Development and Usability Study.

Nipuna Cooray, Si Louise Sun, Catherine Ho, Susan Adams, Lisa Keay, Natasha Nassar, Julie Brown

Open access · goldAbstract read
In one paragraph

Article in JMIR pediatrics and parenting, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
2.7field-weighted citation impact, top 10% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  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

7 authors at 2 institutions in 1 country.

Nipuna CoorayThe George Institute for Global Health, Faculty of Medicine and Health, UNSW Sydney, Newtown, Australia.ORCID https://orcid.org/0000-0003-1816-1454
Si Louise SunSchool of Women's and Children's Health, Faculty of Medicine and Health, UNSW Sydney, Sydney, Australia.ORCID https://orcid.org/0000-0003-1209-2435
Catherine HoThe George Institute for Global Health, Faculty of Medicine and Health, UNSW Sydney, Newtown, Australia.ORCID https://orcid.org/0000-0002-9658-5466
Susan AdamsThe George Institute for Global Health, Faculty of Medicine and Health, UNSW Sydney, Newtown, Australia.ORCID https://orcid.org/0000-0001-5629-8414
Lisa KeayThe George Institute for Global Health, Faculty of Medicine and Health, UNSW Sydney, Newtown, Australia.ORCID https://orcid.org/0000-0003-2215-0678
Natasha NassarChildren's Hospital at Westmead Clinical School, Faculty of Medicine and Health, University of Sydney, Sydney, Australia.ORCID https://orcid.org/0000-0002-3720-9655
Julie BrownThe George Institute for Global Health, Faculty of Medicine and Health, UNSW Sydney, Newtown, Australia.ORCID https://orcid.org/0000-0002-7284-0127
UNSW Sydney · AUThe University of Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFalls account for approximately 50% of infant injury hospitalizations, and caretaker behavior is central to preventing infant falls. Behavior theory-informed interventions for injury prevention have been suggested, but to date, few have been reported. The potential of using smartphones for injury prevention intervention delivery is also underexploited.

objectiveThis study aims to develop a behavior theory- and evidence-based as well as user-centered digital intervention as a mobile app for parents to prevent infant falls following agile development practices.

methodsInfant falls while feeding was selected as the fall mechanism to demonstrate the approach being taken to develop this intervention. In phase 1, the Behaviour Change Wheel was used as a theoretical framework supported by a literature review to define intervention components that were then implemented as a mobile app. In phase 2, after the person-based approach, user testing through think-aloud interviews and comprehension assessments were used to refine the content and implementation of the intervention.

resultsThe target behaviors identified in phase 1 were adequate rest for the newborn's mother and safe feeding practices defined as prepare, position, and place. From behavioral determinants and the Behaviour Change Wheel, the behavior change functions selected to achieve these target behaviors were psychological capability, social opportunity, and reflective motivation. The selected behavior change techniques aligned with these functions were providing information on health consequences, using a credible source, instruction on performing each behavior, and social support. The defined intervention was implemented in a draft Android app. In phase 2, 4 rounds of user testing were required to achieve the predefined target comprehension level. The results from the think-aloud interviews were used to refine the intervention content and app features. Overall, the results from phase 2 revealed that users found the information provided to be helpful. Features such as self-tracking and inclusion of the social and environmental aspects of falls prevention were liked by the participants. Important feedback for the successful implementation of the digital intervention was also obtained from the user testing.

conclusionsTo our knowledge, this is the first study to apply the Behaviour Change Wheel to develop a digital intervention for child injury prevention. This study provides a detailed example of evidence-based development of a behavior theory-informed mobile intervention for injury prevention refined using the person-based approach.

Indexed as

Behaviour Change Wheelchild injurymobile appmobile phone

Identifiers

PMID34932004
PMCPMC8726019
OpenAlexW3189331622

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.