TY - JOUR
T1 - Perceptions of factors Influencing engagement with health and well-being apps in the United Kingdom: Qualitative interview study
AU - Szinay, Dorothy
AU - Perski, Olga
AU - Jones, Andy
AU - Chadborn, Tim
AU - Brown, Jamie
AU - Naughton, Felix
N1 - Acknowledgements: The authors thank all participants for their contribution to the study. The authors would like to acknowledge the support for the development of a topic guide received from the patient and public representatives (the Deputy Director of Public Health England [PHE] Digital, PHE Strategy and Planning, and PHE Strategy and Innovation lead). The authors are grateful to the University College London Tobacco and Alcohol Research Group for their expert opinions on data analysis.
Funding Information: JB has received unrestricted research funding to study smoking cessation from pharmaceutical companies that manufacture smoking cessation medications. JB, FN, OP, and DS are unpaid members of the scientific committee for the Smoke Free app and have no financial interest in the app. DS is funded through a PhD studentship, provided jointly by Public Health England and the University of East Anglia. OP receives salary support from the Cancer Research UK (C1417/A22962).
PY - 2021/12/16
Y1 - 2021/12/16
N2 - Background: Digital health devices, such as health and well-being smartphone apps, could offer an accessible and cost-effective way to deliver health and well-being interventions. A key component of the effectiveness of health and well-being apps is user engagement. However, engagement with health and well-being apps is typically poor. Previous studies have identified a list of factors that could influence engagement; however, most of these studies were conducted on a particular population or for an app targeting a particular behavior. An understanding of the factors that influence engagement with a wide range of health and well-being apps can inform the design and the development of more engaging apps in general. Objective: The aim of this study is to explore user experiences of and reasons for engaging and not engaging with a wide range of health and well-being apps. Methods: A sample of adults in the United Kingdom (N=17) interested in using a health or well-being app participated in a semistructured interview to explore experiences of engaging and not engaging with these apps. Participants were recruited via social media platforms. Data were analyzed with the framework approach, informed by the Capability, Opportunity, Motivation-Behaviour (COM-B) model and the Theoretical Domains Framework, which are 2 widely used frameworks that incorporate a comprehensive set of behavioral influences. Results: Factors that influence the capability of participants included available user guidance, statistical and health information, reduced cognitive load, well-designed reminders, self-monitoring features, features that help establish a routine, features that offer a safety net, and stepping-stone app characteristics. Tailoring, peer support, and embedded professional support were identified as important factors that enhance user opportunities for engagement with health and well-being apps. Feedback, rewards, encouragement, goal setting, action planning, self-confidence, and commitment were judged to be the motivation factors that affect engagement with health and well-being apps. Conclusions: Multiple factors were identified across all components of the COM-B model that may be valuable for the development of more engaging health and well-being apps. Engagement appears to be influenced primarily by features that provide user guidance, promote minimal cognitive load, support self-monitoring (capability), provide embedded social support (opportunity), and provide goal setting with action planning (motivation). This research provides recommendations for policy makers, industry, health care providers, and app developers for increasing effective engagement.
AB - Background: Digital health devices, such as health and well-being smartphone apps, could offer an accessible and cost-effective way to deliver health and well-being interventions. A key component of the effectiveness of health and well-being apps is user engagement. However, engagement with health and well-being apps is typically poor. Previous studies have identified a list of factors that could influence engagement; however, most of these studies were conducted on a particular population or for an app targeting a particular behavior. An understanding of the factors that influence engagement with a wide range of health and well-being apps can inform the design and the development of more engaging apps in general. Objective: The aim of this study is to explore user experiences of and reasons for engaging and not engaging with a wide range of health and well-being apps. Methods: A sample of adults in the United Kingdom (N=17) interested in using a health or well-being app participated in a semistructured interview to explore experiences of engaging and not engaging with these apps. Participants were recruited via social media platforms. Data were analyzed with the framework approach, informed by the Capability, Opportunity, Motivation-Behaviour (COM-B) model and the Theoretical Domains Framework, which are 2 widely used frameworks that incorporate a comprehensive set of behavioral influences. Results: Factors that influence the capability of participants included available user guidance, statistical and health information, reduced cognitive load, well-designed reminders, self-monitoring features, features that help establish a routine, features that offer a safety net, and stepping-stone app characteristics. Tailoring, peer support, and embedded professional support were identified as important factors that enhance user opportunities for engagement with health and well-being apps. Feedback, rewards, encouragement, goal setting, action planning, self-confidence, and commitment were judged to be the motivation factors that affect engagement with health and well-being apps. Conclusions: Multiple factors were identified across all components of the COM-B model that may be valuable for the development of more engaging health and well-being apps. Engagement appears to be influenced primarily by features that provide user guidance, promote minimal cognitive load, support self-monitoring (capability), provide embedded social support (opportunity), and provide goal setting with action planning (motivation). This research provides recommendations for policy makers, industry, health care providers, and app developers for increasing effective engagement.
KW - Behavior change
KW - COM-B
KW - Engagement
KW - Framework analysis
KW - Health apps
KW - MHealth
KW - Mobile phone
KW - Motivation
KW - Smartphone app
KW - TDF
KW - Usability
KW - User engagement
UR - http://www.scopus.com/inward/record.url?scp=85121982795&partnerID=8YFLogxK
U2 - 10.2196/29098
DO - 10.2196/29098
M3 - Article
VL - 9
JO - JMIR mHealth and uHealth
JF - JMIR mHealth and uHealth
SN - 2291-5222
IS - 12
M1 - e29098
ER -