scholarly journals Effective behavioral intervention strategies using mobile health applications for chronic disease management: a systematic review

2018 ◽  
Vol 18 (1) ◽  
Author(s):  
Jung-Ah Lee ◽  
Mona Choi ◽  
Sang A Lee ◽  
Natalie Jiang
Keyword(s):  
Systematic Review ◽  
Chronic Disease ◽  
Disease Management ◽  
Behavioral Intervention ◽  
Mobile Health ◽  
Chronic Disease Management ◽  
Intervention Strategies ◽  
Mobile Health Applications ◽  
Health Applications

scholarly journals Optimizing smartphone intervention features to improve chronic disease management: A rapid review

2019 ◽  
Vol 26 (3) ◽  
pp. 1795-1809 ◽  
Author(s):  
Arieh Gomolin ◽  
Bertrand Lebouché ◽  
Kim Engler ◽  
Isabelle Vedel
Keyword(s):  
Chronic Disease ◽  
Disease Management ◽  
Patient Outcomes ◽  
Chronic Disease Management ◽  
Data Entry ◽  
Rapid Review ◽  
Self Management ◽  
App Development ◽  
Mobile Health Applications ◽  
Health Applications

While there are an increasing number of mobile health applications to facilitate self-management in patients with chronic disease, little is known about which application features are responsible for impact. The objective was to uncover application features associated with increased usability or improved patient outcomes. A rapid review was conducted in MEDLINE for recent studies on smartphone applications. Eligible studies examined applications for adult chronic disease populations, with self-management content, and assessed specific features. The features studied and their impacts on usability and patient outcomes were extracted. From 3661 records, 19 studies were eligible. Numerous application features related to interface (e.g. reduced number of screens, limited manual data entry) and content (e.g. simplicity, self-tracking features) were linked to improved usability. Only three studies examined patient outcomes. Specific features were shown to have a higher impact. Implementing them can improve chronic disease management and reduce app development efforts.

scholarly journals Incorporating Behavioral Trigger Messages Into a Mobile Health App for Chronic Disease Management: Randomized Clinical Feasibility Trial in Diabetes

10.2196/15927 ◽  
2020 ◽  
Vol 8 (3) ◽  
pp. e15927
Author(s):  
Scott Sittig ◽  
Jing Wang ◽  
Sriram Iyengar ◽  
Sahiti Myneni ◽  
Amy Franklin
Keyword(s):  
Chronic Disease ◽  
Disease Management ◽  
Mobile Health ◽  
Self Efficacy ◽  
Chronic Disease Management ◽  
Text Messages ◽  
Feasibility Trial ◽  
Significant Difference ◽  
Within Subjects ◽  
The Impact

Background Although there is a rise in the use of mobile health (mHealth) tools to support chronic disease management, evidence derived from theory-driven design is lacking. Objective The objective of this study was to determine the impact of an mHealth app that incorporated theory-driven trigger messages. These messages took different forms following the Fogg behavior model (FBM) and targeted self-efficacy, knowledge, and self-care. We assess the feasibility of our app in modifying these behaviors in a pilot study involving individuals with diabetes. Methods The pilot randomized unblinded study comprised two cohorts recruited as employees from within a health care system. In total, 20 patients with type 2 diabetes were recruited for the study and a within-subjects design was utilized. Each participant interacted with an app called capABILITY. capABILITY and its affiliated trigger (text) messages integrate components from social cognitive theory (SCT), FBM, and persuasive technology into the interactive health communications framework. In this within-subjects design, participants interacted with the capABILITY app and received (or did not receive) text messages in alternative blocks. The capABILITY app alone was the control condition along with trigger messages including spark and facilitator messages. A repeated-measures analysis of variance (ANOVA) was used to compare adherence with behavioral measures and engagement with the mobile app across conditions. A paired sample t test was utilized on each health outcome to determine changes related to capABILITY intervention, as well as participants’ classified usage of capABILITY. Results Pre- and postintervention results indicated statistical significance on 3 of the 7 health survey measures (general diet: P=.03; exercise: P=.005; and blood glucose: P=.02). When only analyzing the high and midusers (n=14) of capABILITY, we found a statistically significant difference in both self-efficacy (P=.008) and exercise (P=.01). Although the ANOVA did not reveal any statistically significant differences across groups, there is a trend among spark conditions to respond more quickly (ie, shorter log-in lag) following the receipt of the message. Conclusions Our theory-driven mHealth app appears to be a feasible means of improving self-efficacy and health-related behaviors. Although our sample size is too small to draw conclusions about the differential impact of specific forms of trigger messages, our findings suggest that spark triggers may have the ability to cue engagement in mobile tools. This was demonstrated with the increased use of capABILITY at the beginning and conclusion of the study depending on spark timing. Our results suggest that theory-driven personalization of mobile tools is a viable form of intervention. Trial Registration ClinicalTrials.gov NCT04132089; http://clinicaltrials.gov/ct2/show/NCT004122089

The Functionality, Quality and Consistency with International Guidelines of Asthma Mobile Health Applications: Protocol for a Systematic Review. (Preprint)

2021 ◽  
Author(s):  
Billy Robinson ◽  
Enying Gong ◽  
Brian Oldenburg ◽  
Katharine See
Keyword(s):  
Systematic Review ◽  
Mobile Health ◽  
Airflow Limitation ◽  
Significant Variable ◽  
Assessment Framework ◽  
Mobile Health Applications ◽  
Gina Guidelines ◽  
Mhealth Apps ◽  
Health Applications

BACKGROUND Asthma is a chronic respiratory disorder defined clinically as a combination of typical respiratory symptoms, and significant variable reversible airflow limitation. In addition to pharmacotherapy, a key aspect of asthma management is empowering patients to manage their condition and recognise and respond to asthma exacerbations. Mobile health applications (mHealth apps) represent a potential medium through which patients could improve the ability to self-manage their asthma. Few studies have conducted a systematic evaluation of both free and paid asthma mobile applications for the quality and functionality of the apps using a validated tool and to our knowledge none have systematically assessed these applications for the quality of information that they provide compared to available international best practice guidelines. This represents the first study that will undertake both of these evaluations for all available mHealth Apps in Australia targeted towards adult asthmatics. The Global Initiative for Asthma (GINA) guidelines represent a regularly updated guideline based on reviews of the available scientific literature by an international panel of experts. This review will examine the functionality and quality of available asthma mobile health applications and the consistency of these available applications with recommendations from the GINA guidelines. OBJECTIVE The objective of this study is to conduct a systematic review of adult-targeted asthma mobile health applications on the Australian market. As part of this review the potential for an mHealth app to improve asthma self-management and the overall quality of the application will be evaluated, using the Mobile App Rating Scale (MARS) framework, and the quality of the information within an app, using the current GINA guidelines as a reference, will be assessed. METHODS A methodological stepwise approach was taken in creating this review. First the most recent GINA guidelines were independently reviewed by two authors to identify key recommendations that could feasibly be incorporated into a mHealth app. These identified recommendations were then compared to a previously developed asthma application assessment framework. A modified assessment framework was created, ensuring all of these identified recommendations were included. Two popular App stores were then reviewed to identify potential mHealth Apps and then a screening process based on pre-defined inclusion and exclusion criteria occurred to establish what mHealth Apps would be evaluated. Application evaluation then occurred. Technical information was obtained from publicly available information on the application store or within the app itself. The next step was to perform an application quality assessment using the validated MARS framework to objectively determine the quality of the application. Application functionality was then assessed using the IMS Institute for Health Informatics Functionality Scoring system. Finally, the mHealth applications will be assessed using a checklist that we have developed based on what was identified from the international GINA guidelines. RESULTS To date, funding has been received for the project from the Respiratory Department at Northern Health, Victoria. Three reviewers have been recruited to systematically evaluate the applications. Results for this study are expected by the end of this year. CONCLUSIONS Nil as protocol CLINICALTRIAL PROSPERO 269894

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

2017 ◽  
Vol 08 (04) ◽  
pp. 1068-1081 ◽  
Author(s):  
Mehrdad Farzandipour ◽  
Ehsan Nabovati ◽  
Reihane Sharif ◽  
Marzieh Arani ◽  
Shima Anvari
Keyword(s):  
Quality Of Life ◽  
Systematic Review ◽  
Mobile Health ◽  
Self Management ◽  
Cochrane Central Register ◽  
Patient Reported ◽  
Mobile Health Applications ◽  
Mhealth Apps ◽  
Health Applications

Objective The aim of this systematic review was to summarize the evidence regarding the effects of mobile health applications (mHealth apps) for self-management outcomes in patients with asthma and to assess the functionalities of effective interventions. Methods We systematically searched Medline, Scopus, and the Cochrane Central Register of Controlled Trials. We included English-language studies that evaluated the effects of smartphone or tablet computer apps on self-management outcomes in asthmatic patients. The characteristics of these studies, effects of interventions, and features of mHealth apps were extracted. Results A total of 10 studies met all the inclusion criteria. Outcomes that were assessed in the included studies were categorized into three groups (clinical, patient-reported, and economic). mHealth apps improved asthma control (five studies) and lung function (two studies) from the clinical outcomes. From the patient-reported outcomes, quality of life (three studies) was statistically significantly improved, while there was no significant impact on self-efficacy scores (two studies). Effects on economic outcomes were equivocal, so that the number of visits (in two studies) and admission and hospitalization-relevant outcomes (in one study) statistically significantly improved; and in four other studies, these outcomes did not improve significantly. mHealth apps features were categorized into seven categories (inform, instruct, record, display, guide, remind/alert, and communicate). Eight of the 10 mHealth apps included more than one functionality. Nearly all interventions had the functionality of recording user-entered data and half of them had the functionality of providing educational information and reminders to patients. Conclusion Multifunctional mHealth apps have good potential in the control of asthma and in improving the quality of life in such patients compared with traditional interventions. Further studies are needed to identify the effectiveness of these interventions on outcomes related to medication adherence and costs.

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