Evidence map›Paper›PMID 38170580›Full record

ArticleJMIR pediatrics and parenting2024

Exploring the Potential of a Behavior Theory-Informed Digital Intervention for Infant Fall Prevention: Mixed Methods Longitudinal Study.

Nipuna Cooray, Catherine Ho, Amy Bestman, Susan Adams, Natasha Nassar, Lisa Keay, Julie Brown

Open access · goldAbstract read
In one paragraph

Article in JMIR pediatrics and parenting, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.9field-weighted citation impact, top 9% 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, 5 citations in OpenAlex.

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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 3 institutions in 1 country.

Nipuna CoorayThe George Institute for Global Health, Faculty of Medicine and Health, University of New South Wales Sydney, Barangaroo, Australia.ORCID https://orcid.org/0000-0003-1816-1454
Catherine HoThe George Institute for Global Health, Faculty of Medicine and Health, University of New South Wales Sydney, Barangaroo, Australia.ORCID https://orcid.org/0000-0002-9658-5466
Amy BestmanThe George Institute for Global Health, Faculty of Medicine and Health, University of New South Wales Sydney, Barangaroo, Australia.ORCID https://orcid.org/0000-0003-1269-2123
Susan AdamsThe George Institute for Global Health, Faculty of Medicine and Health, University of New South Wales Sydney, Barangaroo, Australia.ORCID https://orcid.org/0000-0001-5629-8414
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
Lisa KeayThe George Institute for Global Health, Faculty of Medicine and Health, University of New South Wales Sydney, Barangaroo, Australia.ORCID https://orcid.org/0000-0003-2215-0678
Julie BrownThe George Institute for Global Health, Faculty of Medicine and Health, University of New South Wales Sydney, Barangaroo, Australia.ORCID https://orcid.org/0000-0002-7284-0127
The George Institute for Global Health · AUAustralian College of Optometry · AUThe University of Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFalls are the most common hospitalized injury mechanism in children aged ≤1 years, and currently, there are no targeted prevention interventions. The prevention of falls in children of this age requires changes in the behavior of their caregivers, and theoretically informed digital behavior change interventions (DBCIs) may provide a unique mechanism for achieving effective intervention. However, user acceptance and the ability of DBCIs to effect the required changes in behavior are critical to their likelihood of success.

objectiveThis study aims to evaluate a behavior theory-informed digital intervention developed following a user-centered approach for user experience, the potential for this intervention to prevent infant falls, and its impact on behavioral drivers underpinning fall risk in young children.

methodsParents of infants aged <1 year were recruited and asked to use the intervention for 3 months. A pre-post longitudinal design was used to examine the change in the potential to reduce the risk of falls after a 3-month exposure to the intervention. Postintervention data on behavioral drivers for fall prevention, user acceptability, and engagement with the app were also collected. Interviews were conducted to explore user experiences and identify areas for further improvement of the intervention.

resultsA total of 62 parents participated in the study. A statistically significant effect on the potential to reduce falls was observed after the intervention. This effect was higher for new parents. Parents agreed that the intervention targeted most of the target behavior drivers. The impact of behavior drivers and intervention on the potential for fall prevention had a positive correlation. The intervention demonstrated good levels of acceptability. Feedback from participants was mostly positive, and the primary area identified for further improvement was widening the scope of the intervention.

conclusionsThis study demonstrated the promise of a newly developed digital intervention to reduce the risk of infant falls, particularly among new parents. It also showed a positive influence of the DBCI on the drivers of parental behaviors that are important for fall reduction among infants. The acceptability of the app was high, and important insights were gained from users about how to further improve the app.

Indexed as

acceptabilityaccidental fallaccidental fallsaccidentsappbehaviorchild injurychildrendevelopmentdigital behavior change interventionsdigital interventionfall preventionfall riskfallsinfancyinfantinfant behaviorinfant fallinjuryinternetlongitudinal designmaternal, paternalmixed methodsmixed methods longitudinal studymobile appmobile phoneparentparentsuser experienceusers

Identifiers

PMID38170580
PMCPMC10794959
OpenAlexW4387715222

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.