Evidence mapPaperPMID 39184872Full record

ArticleComputational and structural biotechnology journal2024

Usability of the BigO system in pediatric obesity treatment: A mixed-methods evaluation of clinical end-users.

Niamh Arthurs, Sarah Browne, Rebekah Boardman, Shane O'Donnell, Gerardine Doyle, Tahar Kechadi, Arsalan Shahid, Louise Tully, Grace O'Malley

Abstract read
In one paragraph

Article in Computational and structural biotechnology journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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3 · Its place in the literature

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

9 authors.

Niamh ArthursChild and Adolescent Obesity Service, Children's Health Ireland (CHI) at Temple Street Children's Hospital, Dublin, Ireland.
Sarah BrowneObesity Research and Care Group, School of Physiotherapy, RCSI University of Medicine and Health Sciences, Royal College of Surgeons in Ireland, Ireland.
Rebekah BoardmanSchool of Public Health, Physiotherapy & Sports Science, University College Dublin, Dublin 4, Ireland.
Shane O'DonnellInsight Centre for Data Analytics, School of Computer Science, University College Dublin, Dublin 4, Ireland.
Gerardine DoyleUCD College of Business, Michael Smurfit Graduate Business School, University College Dublin, Dublin 4, Ireland.
Tahar KechadiInsight Centre for Data Analytics, School of Computer Science, University College Dublin, Dublin 4, Ireland.
Arsalan ShahidInsight Centre for Data Analytics, School of Computer Science, University College Dublin, Dublin 4, Ireland.
Louise TullyObesity Research and Care Group, School of Physiotherapy, RCSI University of Medicine and Health Sciences, Royal College of Surgeons in Ireland, Ireland.
Grace O'MalleyChild and Adolescent Obesity Service, Children's Health Ireland (CHI) at Temple Street Children's Hospital, Dublin, Ireland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To assess technical usability of the BigO app and clinical portal among diverse participants and explore the overall user experiences of both. Methods: Methods included technical usability testing by measuring the relative user efficiency score (RUS) for the app and measuring Relative User Efficiency (RUE) using the 'think aloud' method with the clinical portal. Qualitative approaches involved focus groups with adolescent app users and semi-structured one-to-one interviews with clinician participants. Thematic analysis was applied to analyze qualitative data. Participants: Clinical participants consisted of adolescents seeking treatment for severe obesity and were invited via telephone/face to face to attend technical usability testing and a focus group. Healthcare professionals (HCPs) and researchers using the BigO clinical portal interface were invited to participate in usability testing and semi-structured interviews. Results: From 14 families invited to attend, seven consented to join the study and four adolescents (mean age=13.8 (SD 0.8) years) participated. Additionally, six HCPs and one pediatric obesity researcher took part. RUS for adolescents indicated that the tasks required of them via myBigO app were feasible, and technically efficient. No user-related errors were observed during tasks. Technical barriers reported by adolescents included notifications of battery optimization, misunderstanding image annotation language, and compatibility challenges with certain phone models. RUS for the HCPs and researcher indicated that basic technical skills are a potential barrier for clinical portal use and qualitative findings revealed that clinical users wanted a logging option for monitoring goals and providing feedback on the portal. Conclusion: Our study provided valuable formative findings from clinical end-users in Ireland indicating that adolescents being treated for obesity rated myBigO app as usable, acceptable and that it may assist other key stakeholders to understand food marketing and to monitor dietary and physical activity behaviors. Several key suggestions for future iterations of the clinical portal were provided to enhance its value in pediatric obesity treatment.

Indexed as

Childhood obesityClinical portalEcological momentary assessmentEngagementInterventionsMHealthMobile healthPhysical activity monitoringUsability

Identifiers

PMID39184872
PMCPMC11342072

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.