Abstract:Background
The ASTHMAXcel mobile application has been linked to favorable outcomes among adult patients with asthma.
Objective
We assessed the impact of ASTHMAXcel Adventures, a gamified, guideline-based, pediatric version on asthma control, knowledge, health care utilization, and patient satisfaction.
Methods
Pediatric patients with asthma received the ASTHMAXcel Adventures mobile intervention on-site only at baseline (visit 1), 4 months (vi… Show more
“…One part of the study was a group experiment in different populations to demonstrate the effectiveness of mHealth applications for one or several diseases. Such as Brian C, Anjani K. Singh, etc., demonstrated the effect of mobile health applications on asthma by following 39 patients and assessing their impact on asthma-related emergency room visits, hospitalizations, and oral prednisone [27]. XiaodanZhu, MinLi demonstrated mobile health applications can improve compliance with antipsychotic medications in patients with schizophrenia, by grouping 84 discharged patients from the Mental Health Center in Yinchuan, Ningxia hui Autonomous Region, China [28].…”
In the context of "Internet +" medical treatment, mobile health applications provide services for people in a new way, making it possible for people to carry out health management anytime and anywhere. According to the survey data, the most powerful consumers in the field of mobile health applications are those aged 24 to 35. Thus, it is particularly important to study the preferences of young people for mobile health applications. Therefore, this study established a domain-adaptive mobile health application evaluation model based on users' experience, and used an interactive algorithm combining machine learning and Delphi method to calculate the weight distribution of evaluation factors. Compared with previous studies, the evaluation index based on user experience of youth group is established. On the one hand, we have a targeted understanding of the use characteristics of the youth group and subdivide the market of mobile health applications; on the other hand, we establish evaluation indexes based on user experience, which is more in line with the customer-oriented product service concept. At the same time, the mobile health application evaluation system established in this study adopts human-computer interaction, which can not only ensure efficiency, but also add expertise in the field to make the results more accurate.
“…One part of the study was a group experiment in different populations to demonstrate the effectiveness of mHealth applications for one or several diseases. Such as Brian C, Anjani K. Singh, etc., demonstrated the effect of mobile health applications on asthma by following 39 patients and assessing their impact on asthma-related emergency room visits, hospitalizations, and oral prednisone [27]. XiaodanZhu, MinLi demonstrated mobile health applications can improve compliance with antipsychotic medications in patients with schizophrenia, by grouping 84 discharged patients from the Mental Health Center in Yinchuan, Ningxia hui Autonomous Region, China [28].…”
In the context of "Internet +" medical treatment, mobile health applications provide services for people in a new way, making it possible for people to carry out health management anytime and anywhere. According to the survey data, the most powerful consumers in the field of mobile health applications are those aged 24 to 35. Thus, it is particularly important to study the preferences of young people for mobile health applications. Therefore, this study established a domain-adaptive mobile health application evaluation model based on users' experience, and used an interactive algorithm combining machine learning and Delphi method to calculate the weight distribution of evaluation factors. Compared with previous studies, the evaluation index based on user experience of youth group is established. On the one hand, we have a targeted understanding of the use characteristics of the youth group and subdivide the market of mobile health applications; on the other hand, we establish evaluation indexes based on user experience, which is more in line with the customer-oriented product service concept. At the same time, the mobile health application evaluation system established in this study adopts human-computer interaction, which can not only ensure efficiency, but also add expertise in the field to make the results more accurate.
“…Five studies mentioned that connectivity constitutes a technical factor of mHealth apps that affects the compliance with nonpharmaceutical treatment of pediatric patients with pulmonary diseases. 9,24,28,30,31 Free availability was mentioned by 4 of the studies as a factor that really facilitates the use of mHealth apps by children and adolescents. 24,27,28,32 Furthermore, 4 studies declare that privacy and security issues constitute a technical factor of mHealth apps, significantly affecting the compliance with nonpharmacological treatment of children and adolescents with CPDs, 9,25,29 mentioning cultural readiness as a factor that facilitates the use of mHealth apps by young children (see Supplemental Digital Content 3, available at: http://links.lww.com/ PPT/A490).…”
Purpose:
To synthesize the technical factors influencing adherence to nonpharmacological treatment (NPhT) in children with chronic pulmonary diseases (CPDs), using mobile health (mHealth) technology.
Methods:
Five electronic databases were searched from inception to October 12, 2022, with terms related to pediatrics, CPDs, adherence, NPhT, and mHealth. The methodological quality was assessed using the Critical Appraisal Skills Programme and the Mixed Methods Appraisal Tool checklist.
Results:
Eleven articles were included. Six major technical themes were supported by the evidence that may influence adherence to NPhT: design and context, technical support/business model, connectivity, free availability, privacy and security, and cultural readiness.
Conclusions:
The design of mHealth applications (apps) should be done according to the needs of pediatric patients. This may mitigate any barriers and potentially foster adherence to the use of the apps.
What This Adds to the Evidence:
Six major technical themes may influence adherence to NPhT in children with chronic respiratory diseases.
Video Abstract: Supplemental digital content available at http://links.lww.com/PPT/A487.
“…In recent years, there has been an increased emphasis on mobile interventions for managing chronic conditions including asthma (16)(17)(18). Mobile health (mHealth) interventions are aimed at targeting individuals with low health literacy to improve asthma knowledge and outcomes (18).…”
mentioning
confidence: 99%
“…The patient-facing mobile app used in the current study, ASTHMAXcel, provides asthma education to users. ASTHMAXcel is a novel mHealth application developed in accordance with the National Asthma Education and Prevention Program, Global Initiative for Asthma, and British Thoracic Society/Scottish Intercollegiate Network guidelines (17). The app consists of 10 chapters, each corresponding to a section of the National Asthma Education and Prevention Program guidelines, with 1-to 2-minute animated videos and personalized content (17,18) (Figure 1).…”
mentioning
confidence: 99%
“…ASTHMAXcel is a novel mHealth application developed in accordance with the National Asthma Education and Prevention Program, Global Initiative for Asthma, and British Thoracic Society/Scottish Intercollegiate Network guidelines (17). The app consists of 10 chapters, each corresponding to a section of the National Asthma Education and Prevention Program guidelines, with 1-to 2-minute animated videos and personalized content (17,18) (Figure 1). The development and evaluation of the ASTHMAXcel app was conducted through a grant-funded randomized controlled trial (RCT), which adapted, tested, and refined the app for use in primary care settings to aid in collecting and using patient-reported outcome (PRO) measures to improve asthma care and increase patient access to asthma education.…”
Objective: The ASTHMAXcel PRO mobile app provides asthma education and collects asthma outcome data. The objective of this study was to evaluate the associations between health/electronic health literacy (eHealth literacy) and depressive symptoms with app usage and clinical outcomes. Methods: Adults with persistent asthma were recruited to use the app. Participants completed the Patient Health Questionnaire-9 to assess for depressive symptoms, Asthma Control Test, Mini Asthma Quality of Life (QOL) Questionnaire, and the Newest Vital Sign tool to measure health literacy. Data on a subset of participants were available on eHealth literacy (n = 24) and average number of app logins across 2 months (n = 40). Results: The total study sample included 96 participants (46% non-Hispanic Black, 44.4% Hispanic). The average participant age was 44.0 (standard deviation = 14.9) years, with 74% identifying as female. Increased depressive symptoms were associated with worse asthma control (β = −0.46, p < .001) and asthma QOL (β = −0.38, p < .001), but not eHealth literacy. Higher eHealth literacy was associated with worse asthma QOL (β = −0.48, p = .02) and more app logins (β = 0.59, p = .04). Newest Vital Sign scores were not associated with any of the other measures. Conclusions: Depressive symptoms were associated with worse asthma outcomes. eHealth literacy was associated with increased patient engagement with the app and worse asthma QOL, which may reflect patients with worse QOL seeking out health information on the Internet (although directionality could not be assessed). Digital health literacy may be key to increasing patient engagement with mobile health interventions. Trial Registration: National Clinical Trial No. 03847142, https://clinicaltrials.gov/ct2/show/NCT03847142.
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