Literature DB >> 33387290

Smartphone App for monitoring Asthma in children and adolescents.

K Mayoral1,2,3, O Garin4,5,6, M A Caballero-Rabasco2,7, M Praena-Crespo8,9, A Bercedo9,10, G Hernandez9,11, J Castillo9,12, C Lizano Barrantes1,13,14, Y Pardo1,3,15, M Ferrer16,17,18.   

Abstract

PURPOSE: The asthma stepwise treatment approach recommended is based on monitoring patients' symptoms. The Asthma Research in Children and Adolescents (ARCA) cohort was created to provide evidence about the evolution of persistent asthma. This manuscript describes the development of an electronic health tool, comprising a mobile health application for patients with asthma and its associated online platform for pediatricians to monitor them.
METHODS: The development process followed 7 phases: the first 5 (Conceptualization, Preparation, Assessment scheduling, Image and user interface, and Technical development) defined and designed the tool, followed by a testing phase (functionality assessment and pilot test with ARCA patients), and a last phase which evaluated usability. Since the target population was aged 6-16 years, three versions were designed within the same smartphone application: parents/proxy, children, and adolescents. The online platform for pediatricians provides real-time information from the application: patients' responses over time with color-coded charts (red/amber/green, as in traffic lights).
RESULTS: The pilot test through semi-structured phone interviews of the first 50 participants included in the ARCA study (n = 53) detected their misunderstandings. Pediatricians were trained to emphasize that the application is free of charge and requires monthly answers. Median of the System Usability Scale scores (n = 85), ranging 0 (negative)-100 (positive), was > 93 in the three age versions of the application.
CONCLUSIONS: Technology has the capability of transforming the use of patient-reported outcomes. Describing all the development phases of a mobile health application for monitoring children and adolescents with asthma may increase the knowledge on how to design applications for young patients.

Entities:  

Keywords:  Asthma; Children; Health-related quality of life; Monitoring; Patient-reported outcomes; e-health; m-health application

Year:  2021        PMID: 33387290     DOI: 10.1007/s11136-020-02706-z

Source DB:  PubMed          Journal:  Qual Life Res        ISSN: 0962-9343            Impact factor:   4.147


  40 in total

1.  The asthma trigger inventory: validation of a questionnaire for perceived triggers of asthma.

Authors:  Thomas Ritz; Andrew Steptoe; Carol Bobb; Alexander H S Harris; Martin Edwards
Journal:  Psychosom Med       Date:  2006 Nov-Dec       Impact factor: 4.312

2.  Preterm Birth and Maternal Mental Health: Longitudinal Trajectories and Predictors.

Authors:  Maya Yaari; Karli Treyvaud; Katherine J Lee; Lex W Doyle; Peter J Anderson
Journal:  J Pediatr Psychol       Date:  2019-07-01

Review 3.  A review of measures of quality of life for children with chronic illness.

Authors:  C Eiser; R Morse
Journal:  Arch Dis Child       Date:  2001-03       Impact factor: 3.791

4.  Measuring medication adherence in asthma: Development of a novel self-report tool.

Authors:  Alexandra L Dima; Eric van Ganse; Laurent Laforest; Nathalie Texier; Marijn de Bruin
Journal:  Psychol Health       Date:  2017-02-20

5.  Medication adherence in pediatric asthma: A systematic review of the literature.

Authors:  Wendy N Gray; Mallory Netz; Andrew McConville; David Fedele; Scott T Wagoner; Megan R Schaefer
Journal:  Pediatr Pulmonol       Date:  2018-02-20

6.  Pediatric patient-reported outcome instruments for research to support medical product labeling: report of the ISPOR PRO good research practices for the assessment of children and adolescents task force.

Authors:  Louis S Matza; Donald L Patrick; Anne W Riley; John J Alexander; Luis Rajmil; Andreas M Pleil; Monika Bullinger
Journal:  Value Health       Date:  2013-06       Impact factor: 5.725

7.  Reliability and validity of the Asthma Trigger Inventory applied to a pediatric population.

Authors:  Beatrice L Wood; Po Ann Cheah; JungHa Lim; Thomas Ritz; Bruce D Miller; Trudy Stern; Mark Ballow
Journal:  J Pediatr Psychol       Date:  2006-11-23

Review 8.  A review of the use and effectiveness of digital health technologies in patients with asthma.

Authors:  Elizabeth Unni; Susan Gabriel; Rinat Ariely
Journal:  Ann Allergy Asthma Immunol       Date:  2018-10-22       Impact factor: 6.347

Review 9.  Patient Self-Management of Asthma Using Mobile Health Applications: A Systematic Review of the Functionalities and Effects.

Authors:  Mehrdad Farzandipour; Ehsan Nabovati; Reihane Sharif; Marzieh Heidarzadeh Arani; Shima Anvari
Journal:  Appl Clin Inform       Date:  2017-12-14       Impact factor: 2.342

10.  Exploring the theoretical pathways through which asthma app features can promote adolescent self-management.

Authors:  Delesha M Carpenter; Lorie L Geryk; Adam Sage; Courtney Arrindell; Betsy L Sleath
Journal:  Transl Behav Med       Date:  2016-12       Impact factor: 3.046

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  3 in total

1.  Using feedback tools to enhance the quality and experience of care.

Authors:  Jan R Boehnke; Claudia Rutherford
Journal:  Qual Life Res       Date:  2021-11       Impact factor: 4.147

2.  Inequality and heterogeneity in health-related quality of life: findings based on a large sample of cross-sectional EQ-5D-5L data from the Swedish general population.

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3.  Measurement properties of the EQ-5D-Y administered through a smartphone app in children with asthma: a longitudinal questionnaire study.

Authors:  Karina Mayoral; Olatz Garin; Catalina Lizano-Barrantes; Angels Pont; Araceli M Caballero-Rabasco; Manuel Praena-Crespo; Laura Valdesoiro-Navarrete; María Teresa Guerra; José Antonio Castillo; Inés de Mir; Eva Tato; Jordi Alonso; Vicky Serra-Sutton; Yolanda Pardo; Montse Ferrer
Journal:  Health Qual Life Outcomes       Date:  2022-03-28       Impact factor: 3.186

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