ArticleCanadian journal of pain = Revue canadienne de la douleur2018
A parent-science partnership to improve postsurgical pain management in young children: Co-development and usability testing of the Achy Penguin smartphone-based app.
Article in Canadian journal of pain = Revue canadienne de la douleur, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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.
Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.
- Methodological Quality of Manuscripts Reporting on the Usability of Mobile Applications for Pain Assessment and Management: A Systematic Review.International journal of environmental research and public health · 2020Pooled it
- The true experts: codeveloping a preventive psychological intervention for postsurgical pain with patients and caregivers.Pain reports · 2026Article
- Animal-Assisted Psychotherapy for Pediatric Chronic Pain: Case Series of an Open Pilot Study to Test Initial Feasibility and Potential Efficacy.Journal of pain research · 2023Article
- Do pain management apps use evidence-based psychological components? A systematic review of app content and quality.Canadian journal of pain = Revue canadienne de la douleur · 2022Review
- An audit of paediatric pain prevalence, intensity, and treatment at a South African tertiary hospital.Pain reportsArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 5 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundYoung children are at risk for poorly managed pain after surgery, with significant negative consequence to their quality of life and health outcomes. Mobile applications offer a highly accessible, engaging, and interactive medium to improve pain assessment and management; however, they generally lack scientific foundation or support.
aimsThe aims of this study were to describe a successful parent-science partnership in the development and testing of Achy Penguin, a parent-developed iOS app to help assess and manage acute pain in young children, and to evaluate and refine the usability of Achy Penguin in young children with acute postoperative pain.
methodsThree cycles of iterative usability testing were conducted with 20 4- to 7-year-old children (
resultsFeedback from children and further integration of evidence-based pediatric pain knowledge led to refinements in app pain assessment and management content, as well as app flow and functionality. Changes improved children's ease of use and understanding and satisfaction by simplifying language in app instructions and content, adding audio and pictorial instructions, and increasing the engagement, interactiveness, immersiveness, and general appeal of pain management strategies.
conclusionsThis article showcases the value of collaborative partnerships between various stakeholders (parents, app developers, and researcher/health care providers) to address gaps in pediatric pain care. The Achy Penguin app shows promise for improving pain assessment and management in young children, although further evaluation of app effectiveness and implementation is warranted.
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What OpenQuestion holds
Registered trials
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.