PHYSICAL FITNESS Clinical Trial
Official title:
The Feasibility and Acceptability of a Randomised Crossover Trial Assessing Two Current Health Apps for Increasing Physical Activity: a Mixed Methods Study
NCT number | NCT03565627 |
Other study ID # | 11121/001 |
Secondary ID | |
Status | Completed |
Phase | N/A |
First received | |
Last updated | |
Start date | January 5, 2018 |
Est. completion date | July 28, 2018 |
Verified date | April 2019 |
Source | University College, London |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Interventional |
Within the new digital health care landscape, the rise of health applications (apps) creates
novel prospects for behaviour change opportunities. The commercial market is saturated with
apps that aim to increase physical activity (PA) with more than 49,000 PA apps available in
the major app stores in 2016 [1]. Despite the wide distribution and popularity of PA apps,
research on the efficacy of the apps is lacking.
This project focuses on exploring the potential for increasing PA levels using 2 selected
apps that are available on the market with participants that do not engage or perform very
little PA. This study is timely because PA apps on the market are extremely popular and there
is a clear need to this the potential of these potentially convenient, accessible,
wide-reaching, and cost-effective technology.
Before a large scale study is conducted, it is crucial to conduct assessment of the
feasibility and acceptability of the study [2]. Feasibility determines if the study design,
procedures, and the intervention can be executed by the researcher. Acceptability assesses
the suitability of the study design, procedures, and the intervention from the perspective of
the participants and intervention deliverers [3]. Hence, this mixed-methods feasibility study
was designed to inform a decision about whether to proceed to a large-scale study. The aim of
this study is to investigate the feasibility and acceptability of a study assessing 2
selected PA apps to inform the design of a definitive RCT, and to assess the effects of the
app interventions on PA
Status | Completed |
Enrollment | 66 |
Est. completion date | July 28, 2018 |
Est. primary completion date | July 18, 2018 |
Accepts healthy volunteers | Accepts Healthy Volunteers |
Gender | All |
Age group | 18 Years and older |
Eligibility |
Inclusion Criteria: - adults (=18 years' old) identified as "moderately inactive" or "inactive" using General Practice Physical Activity Questionnaire - as the use of accelerometer requires some maintenance from the researcher, it was necessary to include only users that reside in/around London for practical reasons - willingness to try the apps assessed in the study (walking and workout app) - those owning a smartphone, iPhone (operating iOS 6.0 or newer and ) or Android (version 2.3.3 and up Exclusion Criteria: - do not speak English - previous use of the apps of interest - medical conditions that require special attention when conducting physical activity - current participation in another research study that targets behaviour change |
Country | Name | City | State |
---|---|---|---|
United Kingdom | eHealth Unit, Research Department of Primary Care and Population Health, University College London | London |
Lead Sponsor | Collaborator |
---|---|
University College, London | Medical Research Council |
United Kingdom,
Craig P, Dieppe P, Macintyre S, Michie S, Nazareth I, Petticrew M; Medical Research Council Guidance. Developing and evaluating complex interventions: the new Medical Research Council guidance. BMJ. 2008 Sep 29;337:a1655. doi: 10.1136/bmj.a1655. — View Citation
Feeley N, Cossette S, Côté J, Héon M, Stremler R, Martorella G, Purden M. The importance of piloting an RCT intervention. Can J Nurs Res. 2009 Jun;41(2):85-99. Review. — View Citation
research2guidance. mHealth app developer economics. The state of the art of mHealth application publishing: research2guidance 2014 [updated 5 May 2016]. Available from: http://research2guidance.com/product/mhealth-app-developer-economics-2014/.
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Recruitment rates as a percentage of eligible participants that consented to partake in the study | Determined by retention (%) | Week 5 | |
Secondary | Retention measured by completeness of data at 5 weeks' follow up | Determined by retention (%) | Week 5 | |
Secondary | Acceptability of the trial procedures and the interventions | Semi-structured interviews following the completion of the trial | Week 5 | |
Secondary | Change in objectively measured PA from baseline to follow-up | Measured by hip-worn ActiGraph GT3X+ | Week 3 and 5 | |
Secondary | The difference in PA change between the 2 apps | Measured by hip-worn ActiGraph GT3X+ | Week 3 and 5 | |
Secondary | Change in self-reported PA | Using International Physical Activity Questionnaires: short last 7 days self-administered format | Week 3 and 5 | |
Secondary | Change in exercise self-efficacy | Measured using Self-Efficacy to Regulate Exercise | Week 3 and 5 | |
Secondary | Change in PA outcome expectancy measure | Assessed using Physical Activity Outcome Expectancy Measure | Week 3 and 5 | |
Secondary | Usability of the apps | Assessed using System Usability Scale | Week 3 and 5 | |
Secondary | Change in mood | Assessed daily using PACO app | Week 5 | |
Secondary | Usage of apps | Long-term usage of apps will be assessed by asking participants if they have any of the apps on the phones and if they have used it since the end of the study | Week 13 |
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