Patients’ experiences of using a smartphone application to increase physical activity: the SMART MOVE qualitative study in primary care

Casey, Monica; Hayes, Patrick S.; Glynn, Fergus; ÓLaighin, Gearóid; Heaney, David; Murphy, Andrew W.; Glynn, Liam

doi:10.3399/bjgp14x680989

Cited by 63 publications

(74 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Recently, mobile phone applications have delivered health promotion interventions and services successfully such as regulation of physical activity [13][14][15][16] , mental health monitoring 15 , nutrition and diet improvement 17,18 . One comparative study suggested a large number of smokers use the smartphone to send and receive texts, download apps, use Facebook, and browse health-related internet sites 19 .…”

Section: Introductionmentioning

confidence: 99%

Effectiveness of Mobile Apps for Smoking Cessation: Α Review

Regmi¹,

Kassim²,

Ahmad³

et al. 2017

Tob. Prev. Cessation

View full text Add to dashboard Cite

INTRODUCTION Smartphone-based smoking cessation interventions are increasingly used around the world. However, the effects of smartphone applications on applicability and efficacy on cessation rate and prevention of relapses are not often evaluated. Therefore, this review aims to assess the evidence on effectiveness of smartphone applications as an intervention tool for smoking cessation support. METHODS We conducted the search using Ovid Medline/PubMed, CENTRAL and Scopus databases dated (January 2007-June 2016. Inclusion criteria include randomized control trials or intervention studies with mobile applications that offer smoking cessation support. Two assessors independently extracted and evaluated the data from each included study. RESULTS The review of eight selected studies illustrate the use of smartphone applications in increasing quit rates among smokers, however adherence to app features influences quit rates. Audiovisual features followed by a quit plan, tracking progress and sharing features are most accepted and utilised app features. However, inconsistency was observed in their association with abstinence or quit rate. App engagement features increase the statistical significance in the quit rate. Development of smartphone applications was supported by behavior change theories in all studies nevertheless; heterogeneous forms of intervention were adopted within studies. Similarly, reduction in relapse attributed to enhanced discussion among quitters using social media applications was observed. CONCLUSIONS Quality evidence is warranted with large sample size to measure effect size of the intervention. Future research on effectiveness and efficacy of smartphone alone and comparisons with other mHealth interventions, such as text messaging would be useful.

show abstract

Section: Introductionmentioning

confidence: 99%

Effectiveness of Mobile Apps for Smoking Cessation: Α Review

Regmi¹,

Kassim²,

Ahmad³

et al. 2017

Tob. Prev. Cessation

View full text Add to dashboard Cite

show abstract

“…A small number of experimental studies have found QOS approaches, when compared to similar non-QOS alternatives, have a stronger impact on motivating users toward their health and wellness goals (Cadmus-Bertram et al 2015;Casey et al 2014;Pettinico and Milne 2017). Work by Pettinico and Milne (2017) provides a theoretical framework for the positive impact of QOS on goal-directed motivation, based on goal-setting theory (Latham and Yukl 1975;Locke and Latham 1990).…”

Section: Theoretical Framework and Hypotheses Developmentmentioning

confidence: 99%

Quantification of Self in Third‐Party‐Administered Wellness Programs: The Impact of Perceived Self‐Empowerment

Pettinico¹,

Milne²,

Miller³

2019

Journal of Consumer Affairs

View full text Add to dashboard Cite

Employers, insurers, and other third parties are increasingly offering wellness programs and have recently begun incorporating quantification of self (QOS) features to encourage enrollment. While past studies have examined the impact of QOS on consumer behavior in self‐directed contexts, none have done so in the context of third‐party administration. The present research explores QOS's impact in wellness programs directed by employers, insurers and doctors. A 2 x 4 between‐subjects experiment manipulating QOS and program administration type was used to test our hypotheses. Our results found a significant interaction effect between QOS and administration type, where the motivational benefits of a QOS‐based wellness program that are found in self‐directed contexts are negated when the program is run by certain third parties. This effect is mediated by the participant's perceptions of disempowerment in the program, caused by the involvement of the third party. Consumer policy implications are discussed.

show abstract

“…Beyond the "top-down" norms mentioned above, users themselves have specified numerous criteria for a positive experience of using mobile PA and FT apps. The most prominent expectations of users are (Casey et al, 2014;Kari et al, 2016;Tang et al, 2016;Wang et al, 2016;Kettunen, Critchley & Kari, 2019):…”

Section: Connection To Social Network and Communitiesmentioning

confidence: 99%

Evaluation of mobile applications for fitness training and physical activity in healthy low-trained people - A modular interdisciplinary framework

Wiemeyer

2019

International Journal of Computer Science in Sport

View full text Add to dashboard Cite

Numerous mobile applications are available that aim at supporting sustainable physical activity and fitness training in sedentary or low-trained healthy people. However, the evaluation of the quality of these applications often suffers from severe shortcomings such as reduction to selective aspects, lack of theory or suboptimal methods. What is still missing, is a framework that integrates the insights of the relevant scientific disciplines. In this paper, we propose an integrative framework comprising four modules: training, behavior change techniques, sensors and technology, and evaluation of effects. This framework allows to integrate insights from training science, exercise physiology, social psychology, computer science, and civil engineering as well as methodology. Furthermore, the framework can be flexibly adapted to the specific features of the mobile applications, e.g., regarding training goals and training methods or the relevant behavior change techniques as well as formative or summative evaluation.

show abstract

Patients’ experiences of using a smartphone application to increase physical activity: the SMART MOVE qualitative study in primary care

Cited by 63 publications

References 21 publications

Effectiveness of Mobile Apps for Smoking Cessation: Α Review

Effectiveness of Mobile Apps for Smoking Cessation: Α Review

Quantification of Self in Third‐Party‐Administered Wellness Programs: The Impact of Perceived Self‐Empowerment

Evaluation of mobile applications for fitness training and physical activity in healthy low-trained people - A modular interdisciplinary framework

Contact Info

Product

Resources

About