Insights from user experience and evaluation of a mobile health nutrition intervention for children with autism: A qualitative study

Author:

Slater Courtney N.1,Schroeder Krista2,Fultz Amanda3,Kuschner Emily S.45,O'Malley Lauren6,Johnson Kelsey7,Benvenuti Teresa8,Chittams Jesse1,Quinn Ryan J.1,Graham Thomas J.9,Pinto‐Martin Jennifer110,Levy Susan E.11,Kral Tanja V. E.14

Affiliation:

1. Department of Biobehavioral Health Sciences University of Pennsylvania School of Nursing Philadelphia PA USA

2. Department of Nursing Temple University College of Public Health Philadelphia PA USA

3. Center for Health Behavior Research University of Pennsylvania School of Medicine Philadelphia PA USA

4. Department of Psychiatry University of Pennsylvania Perelman School of Medicine Philadelphia PA USA

5. Departments of Psychiatry and Radiology Children's Hospital of Philadelphia PA USA

6. Center for Injury Research and Prevention Children's Hospital of Philadelphia Philadelphia PA USA

7. CHDI Management/CHDI Foundation Princeton NJ USA

8. Duke University School of Medicine Durham NC USA

9. Weight Control and Diabetes Research Center Brown University School of Medicine and The Miriam Hospital Providence RI USA

10. Department of Biostatistics, Epidemiology and Informatics Perelman School of Medicine, University of Pennsylvania Philadelphia PA USA

11. Department of Pediatrics Children's Hospital of Philadelphia Philadelphia PA USA

Abstract

AbstractBackgroundChildren with autism spectrum disorder (ASD) experience high rates of atypical eating behaviours, such as food neophobia. Mobile health (mHealth) interventions have been found to improve communication, behaviour and social skills for children with ASD. However, there is limited evidence examining mHealth nutrition interventions among children with ASD.MethodsThe present study comprised a qualitative descriptive study that used qualitative content analysis to explore parent and child experiences with a novel mHealth nutrition intervention. Ten parent–child dyads provided user feedback and evaluation of the intervention. Data collection tools included a semistructured interview guide and a quantitative questionnaire with open‐ended questions. Data analysis of the interview transcripts and open‐ended questionnaire responses was an iterative process that continued until saturation was achieved. Descriptive statistics were used to analyse quantitative questionnaire data.ResultsAnalysis of the qualitative semistructured interviews led to emergence of three themes: (1) positive intervention outcomes; (2) parent suggestions for improvement; and (3) barriers to engagement. Each theme included subthemes. Questionnaire data revealed the ability to pick rewards and the virtual character that reinforced dietary goals (“Nutrition Ninja”) were the most liked components of the application. Sending messages within the application and the Nutrition Ninja game were the least liked components of the application.ConclusionsCollectively, findings indicated that the app served as an interactive tool prompting dietary change and conversations within families. Yet, for some families, the intervention design, resistance to change or child disinterest hindered use and implementation of the intervention.

Publisher

Wiley

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