Systematic Review of Health App Gamification for Lifestyle Intervention Adherence

Diet, Healthy Clinical Trial

Official title:

Use of Gamification in Health Apps for Lifestyle Intervention: A Systematic Review

Clinical Trial Details — Status: Active, not recruiting

Administrative data

• NCT number: NCT04633070
• Other study ID #: CCS-Health Apps 2020
• Status: Active, not recruiting
• Start date: November 5, 2020
• Est. completion date: November 2022

Study information

• Verified date: November 2020
• Source: University of Toronto
• Contact: n/a
• Is FDA regulated: No
• Study type: Observational

Clinical Trial Summary

Health behaviour applications (also referred to as "apps") have the potential to provide several advantages for motivating behaviour change for health and well-being. Finding ways to increase and sustain health promoting behaviour changes has been a challenge during health app development. Gamification, which is the use of game elements in a non-game situation, shows promise and has proven effective in many fields. However, key questions remain concerning how to use gamification in apps to modify health behaviour, especially to support adherence to dietary pattern recommendations. To investigate and summarize the current evidence, a systematic review of the totality of evidence from clinical trials and observational studies will be conducted to capture and distinguish the types of gamification strategies that may be most effective in improving and sustaining health promoting behaviours to inform future health behaviour app development.

Description:

Background: Studies on health behaviours such as physical activity and smoking cessation (behaviour change) have indicated that gamification is an effective tool for engagement and behaviour change, especially when multiple different competitive elements are used including: a ranking system, badges and achievements, points, social media interaction, and leveling up. Gamification is the use of game elements in a non-game environment to invoke behaviour change. The majority of health-focused gamification investigations are currently conducted using web or mobile-based delivery platforms in adults focusing on physical activity. Access to these web and mobile based applications through smartphones, tablets and computers has grown rapidly. In 2016, 94% of Canadians had home internet access, with 88% reporting that they use a smartphone for personal use. Moreover, a recent survey in the US found that 73% of those with, or at risk of cardiovascular disease, have a smartphone and 43% use a health-related application to track progress towards a health goal. While research on mobile-based app use for modifying diet is promising, the effectiveness of using gamification in apps for sustaining dietary pattern adherence is unclear. An investigation and summary of the current types of gamification strategies that may be most effective is important to inform and aid future app development. The ultimate aim of this research investigation is to inform the development of the PortfolioDiet.app, a dietary pattern adherence application for reducing LDL-cholesterol in individuals at risk for cardiovascular disease. Objective: To conduct a systematic review investigating the gamification strategies used in applications for long term behaviour change, with a specific focus on dietary pattern adherence in adults. Design: A systematic review of the literature will be conducted according to the Cochrane Handbook for Systematic Reviews of Interventions and reported according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). Data sources: MEDLINE, EMBASE, and The Cochrane Central Register of Controlled Trials (Clinical Trials; CENTRAL) will be searched using appropriate search terms supplemented by hand searches of references of included studies. Study selection: The investigators will include prospective cohort studies and controlled trials. Studies will be included if they are >= 2-months in duration and assess the relation of different gamification strategies used in health behaviour applications with adherence to the health intervention, participant engagement with using the application, and/or the intended health outcome. There will be no language restrictions. Data extraction: Two or more investigators will independently extract relevant data and assess risk of bias using the Cochrane Risk of Bias Tool. All disagreements will be resolved by consensus. Outcomes: The primary outcome will be adherence to the intervention associated with use of the application, such as, but not limited to: physical activity, smoking cessation, increasing fruit and vegetable intake, improving healthy food index score. Secondary outcomes will include participant engagement with use of the application. This adherence to using the application may be determined based on number of using days using the application compared to intended number of days of application usage. Observation of a significant change in the intended health outcome, such as, blood glucose, HbA1c, blood lipids, weight change [BMI, body weight, waist circumference, will also be assessed. Data Synthesis: A Microsoft Excel spreadsheet will be used to track the extractions and summarize the qualitative and quantitative data from each study. Risk of Bias (Quality) Assessment: The risk of bias of each included study will be assessed using the Cochrane Handbook for Systematic Reviews of Interventions. This will be done in relation to evaluating the criteria for assessing risk as either low, high or uncertain risk of bias as identified in the Risk of Bias tool. Knowledge translation plan: The results will be disseminated through interactive presentations at local, national and international scientific meetings and publication. As well as utilized in a publically available web-based application hosted on the Canadian Cardiovascular Society website. Significance: Gamification has been identified as a promising tool for health promotion. While research directly comparing gamified interventions to non-gamified controls has found beneficial effects on physical activity, or more recently mental health, there is a lack of evidence on investigating gamification for dietary change. As poor health behaviours (i.e. unhealthy diet, smoking, sedentary behaviour) have been repeatedly identified as major contributors to disease burden in Canada and globally, interventions which can target and improve these behaviours over a long term are required. Furthermore, as the generations who have grown up with the internet and app technology begin to age they will seek engaging digital tools to improve health outcomes, and therefore the need for digital health interventions that are effective at improving and sustaining beneficial health behaviours will only continue to grow.

Recruitment information / eligibility

• Status: Active, not recruiting
• Enrollment: 100
• Est. completion date: November 2022
• Est. primary completion date: November 2021
• Accepts healthy volunteers: Accepts Healthy Volunteers
• Gender: All
• Age group: 18 Years and older

Eligibility

Inclusion Criteria for controlled trials:

• Randomized and non-randomized controlled intervention studies in humans
• Gamification intervention
• Presence of an adequate comparator, such as standard of care or an application without gamification components
• Intervention duration >=2 months
• Viable outcome data

Inclusion Criteria for prospective cohort studies:

• Prospective cohort studies
• Duration >= 2-months
• Assessment of the exposure of gamification used in a health behaviour application
• Ascertainment of viable outcome data by level of exposure

Exclusion Criteria for controlled trials:

• Lack of an adequate comparator
• Non-health behaviour application

Exclusion Criteria for prospective cohort studies:

• Ecological, cross-sectional, or retrospective observational studies
• Intervention studies

Related Conditions & MeSH terms

• Behavior, Health
• Diet, Healthy
• Mobile Applications

Intervention

Behavioral:
• Gamification
Gamification (including, but not limited to a ranking system, badges and achievements, points, social media interaction, and leveling up) within mobile and web-based applications (also referred to as 'apps') for lifestyle modification (diet, physical activity, smoking cessation etc).

Locations

Country	Name	City	State
Canada	Clinical Nutrition and Risk Factor Modification Centre, St. Michael's Hospital	Toronto	Ontario

Sponsors (1)

Lead Sponsor	Collaborator
University of Toronto

Country where clinical trial is conducted

Canada, 

References & Publications (12)

Alam S, Lang JJ, Drucker AM, Gotay C, Kozloff N, Mate K, Patten SB, Orpana HM, Afshin A, Cahill LE. Assessment of the burden of diseases and injuries attributable to risk factors in Canada from 1990 to 2016: an analysis of the Global Burden of Disease Study. CMAJ Open. 2019 Feb 28;7(1):E140-E148. doi: 10.9778/cmajo.20180137. Print 2019 Jan-Mar. — View Citation

Cumpston M, Li T, Page MJ, Chandler J, Welch VA, Higgins JP, Thomas J. Updated guidance for trusted systematic reviews: a new edition of the Cochrane Handbook for Systematic Reviews of Interventions. Cochrane Database Syst Rev. 2019 Oct 3;10:ED000142. doi: 10.1002/14651858.ED000142. — View Citation

El-Hilly AA, Iqbal SS, Ahmed M, Sherwani Y, Muntasir M, Siddiqui S, Al-Fagih Z, Usmani O, Eisingerich AB. Game On? Smoking Cessation Through the Gamification of mHealth: A Longitudinal Qualitative Study. JMIR Serious Games. 2016 Oct 24;4(2):e18. — View Citation

GBD 2017 Risk Factor Collaborators. Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks for 195 countries and territories, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet. 2018 Nov 10;392(10159):1923-1994. doi: 10.1016/S0140-6736(18)32225-6. Epub 2018 Nov 8. Erratum in: Lancet. 2019 Jan 12;393(10167):132. Lancet. 2019 Jun 22;393(10190):e44. — View Citation

Johnson D, Deterding S, Kuhn KA, Staneva A, Stoyanov S, Hides L. Gamification for health and wellbeing: A systematic review of the literature. Internet Interv. 2016 Nov 2;6:89-106. doi: 10.1016/j.invent.2016.10.002. eCollection 2016 Nov. Review. — View Citation

Lally P, van Jaarsveld CHM, Potts HWW, Wardle J. How are habits formed: Modelling habit formation in the real world. Eur J Soc Psychology. 2010; 40:998-1009.

Litvin S, Saunders R, Maier MA, Lüttke S. Gamification as an approach to improve resilience and reduce attrition in mobile mental health interventions: A randomized controlled trial. PLoS One. 2020 Sep 2;15(9):e0237220. doi: 10.1371/journal.pone.0237220. eCollection 2020. — View Citation

Marin-Gomez FX, Garcia-Moreno Marchán R, Mayos-Fernandez A, Flores-Mateo G, Granado-Font E, Barrera Uriarte ML, Duch J, Rey-Reñones C. Exploring Efficacy of a Serious Game (Tobbstop) for Smoking Cessation During Pregnancy: Randomized Controlled Trial. JMIR Serious Games. 2019 Mar 27;7(1):e12835. doi: 10.2196/12835. Erratum in: JMIR Serious Games. 2019 Jul 11;7(3):e14381. — View Citation

Moher D, Shamseer L, Clarke M, Ghersi D, Liberati A, Petticrew M, Shekelle P, Stewart LA; PRISMA-P Group. Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 statement. Syst Rev. 2015 Jan 1;4:1. doi: 10.1186/2046-4053-4-1. — View Citation

Patel MS, Small DS, Harrison JD, Fortunato MP, Oon AL, Rareshide CAL, Reh G, Szwartz G, Guszcza J, Steier D, Kalra P, Hilbert V. Effectiveness of Behaviorally Designed Gamification Interventions With Social Incentives for Increasing Physical Activity Among Overweight and Obese Adults Across the United States: The STEP UP Randomized Clinical Trial. JAMA Intern Med. 2019 Sep 9:1-9. doi: 10.1001/jamainternmed.2019.3505. [Epub ahead of print] — View Citation

Statistics Canada. Canadian Internet Use Survey. Last modified: 29 October 2019. Retrieved: 20 October 2020. Available from: https://www150.statcan.gc.ca/n1/dailyquotidien/191029/dq191029a-eng.htm

Villinger K, Wahl DR, Boeing H, Schupp HT, Renner B. The effectiveness of app-based mobile interventions on nutrition behaviours and nutrition-related health outcomes: A systematic review and meta-analysis. Obes Rev. 2019 Oct;20(10):1465-1484. doi: 10.1111/obr.12903. Epub 2019 Jul 28. — View Citation

* Note: There are 12 references in all — Click here to view all references

Outcome

Type	Measure	Description	Time frame	Safety issue
Primary	Adherence to the intervention	Percentage change	At least 2 months
Secondary	Participant app engagement	Adherence to using the app based on number of using days using the app compared to intended number of days of app usage	At least 2 months
Secondary	Health outcome - body weight	Weight change	At least 2 months
Secondary	Health outcome - BMI	BMI change	At least 2 months
Secondary	Health outcome - body fat	Body fat change	At least 2 months
Secondary	Health outcome - waist circumference	Waist circumference	At least 2 months
Secondary	Health outcome - HbA1c	HbA1c change	At least 2 months
Secondary	Health outcome - fasting plasma glucose (FPG)	FPG change	At least 2 months
Secondary	Health outcome - LDL-cholesterol (LDL-C)	LDL-C change	At least 2 months
Secondary	Health outcome - non-HDL-cholesterol (non-HDL-C)	Non-HDL-C change	At least 2 months
Secondary	Health outcome - apoB	ApoB change	At least 2 months
Secondary	Health outcome - HDL-cholesterol (HDL-C)	HDL-C change	At least 2 months
Secondary	Health outcome - triglycerides	Triglycerides change	At least 2 months
Secondary	Health outcome - systolic blood pressure (SBP)	SBP change	At least 2 months
Secondary	Health outcome - diastolic blood pressure (DBP)	DBP change	At least 2 months