Mobile App-Based Health Promotion Programs: A Systematic Review of the Literature

Mikyung Lee, Hyeonkyeong Lee, Youlim Kim, Junghee Kim, Mikyeong Cho, Jaeun Jang, Hyoeun Jang, Mikyung Lee, Hyeonkyeong Lee, Youlim Kim, Junghee Kim, Mikyeong Cho, Jaeun Jang, Hyoeun Jang

Abstract

This study investigated the features and usefulness of mobile app-based health promotion programs for the general population. A comprehensive bibliographic search of studies on health promotion programs using mobile apps in peer-reviewed journals published in English up to November 2017 was performed using the PubMed, Embase, and CINAHL databases. The inclusion criteria were (1) randomized control trial designs; (2) assessed mobile app-based interventions to promote adult health conditions; 12 studies were ultimately included. The most common topics were diet and physical activity (n = 8) and overall healthy lifestyle improvement (n = 4). The purpose of the apps included providing feedback on one's health status (n = 9) and monitoring individual health status or behavior change (n = 9). Across all studies, health outcomes were shown to be better for mobile app users compared to non-users. Mobile app-based health interventions may be an effective strategy for improving health promotion behaviors in the general population without diseases. This study suggests that mobile app use is becoming commonplace for a variety of health-promoting behaviors in addition to physical activity and weight control. Future research should address the feasibility and effectiveness of using mobile apps for health promotion in developing countries.

Keywords: app-based intervention; health promotion; mobile app; smartphone.

Conflict of interest statement

The authors declare no conflicts of interest.

Figures

Figure 1
Figure 1
Study selection process.
Figure 2
Figure 2
Cochrane’s risk of bias summary for health promotion apps reviewed.

References

    1. Riley W.T., Rivera D.E., Atienza A.A., Nilsen W., Allison S.M., Mermelstein R. Health behavior models in the age of mobile interventions: Are our theories up to the task? Transl. Behav. Med. 2011;1:53–71. doi: 10.1007/s13142-011-0021-7.
    1. Ferguson C., Jackson D. Selecting, appraising, recommending and using mobile applications (apps) in nursing. J. Clin. Nurs. 2017;26:3253–3255. doi: 10.1111/jocn.13834.
    1. Zhao J., Freeman B., Li M. Can mobile phone apps influence people’s health behavior change? An evidence review. J. Med. Int. Res. 2016;18 doi: 10.2196/jmir.5692.
    1. Free C., Phillips G., Galli L., Watson L., Felix L., Edwards P., Patel V., Haines A. The effectiveness of mobile-health technology-based health behaviour change or disease management interventions for health care consumers: A systematic review. PLoS Med. 2013;10:e1001362. doi: 10.1371/journal.pmed.1001362.
    1. Payne H.E., Lister C., West J.H., Bernhardt J.M. Behavioral functionality of mobile apps in health interventions: A systematic review of the literature. JMIR mHealth uHealth. 2015;3 doi: 10.2196/mhealth.3335.
    1. Mattila E., Orsama A.-L., Ahtinen A., Hopsu L., Leino T., Korhonen I. Personal health technologies in employee health promotion: Usage activity, usefulness, and health-related outcomes in a 1-year randomized controlled trial. JMIR mHealth uHealth. 2013;1 doi: 10.2196/mhealth.2557.
    1. Whittaker R., McRobbie H., Bullen C., Borland R., Rodgers A., Gu Y. Mobile phone-based interventions for smoking cessation. Cochrane Database Syst. Rev. 2012 doi: 10.1002/14651858.CD006611.pub3.
    1. Gaziano T., Abrahams-Gessel S., Surka S., Sy S., Pandya A., Denman C.A., Mendoza C., Puoane T., Levitt N.S. Cardiovascular disease screening by community health workers can be cost-effective in low-resource countries. Health Aff. 2015;34:1538–1545. doi: 10.1377/hlthaff.2015.0349.
    1. Zhang H., Jiang Y., Nguyen H.D., Poo D.C.C., Wang W. The effect of a smartphone-based coronary heart disease prevention (SBCHDP) programme on awareness and knowledge of CHD, stress, and cardiac-related lifestyle behaviours among the working population in Singapore: A pilot randomised controlled trial. Health Qual. Life Outcomes. 2017;15:49. doi: 10.1186/s12955-017-0623-y.
    1. Fukuoka Y., Gay C.L., Joiner K.L., Vittinghoff E. A novel diabetes prevention intervention using a mobile app: A randomized controlled trial with overweight adults at risk. Am. J. Prev. Med. 2015;49:223–237. doi: 10.1016/j.amepre.2015.01.003.
    1. Turner-McGrievy G.M., Beets M.W., Moore J.B., Kaczynski A.T., Barr-Anderson D.J., Tate D.F. Comparison of traditional versus mobile app self-monitoring of physical activity and dietary intake among overweight adults participating in an mHealth weight loss program. J. Am. Med. Inform. Assoc. 2013;20:513–518. doi: 10.1136/amiajnl-2012-001510.
    1. Balk-Møller N.C., Poulsen S.K., Larsen T.M. Effect of a nine-month web-and app-based workplace intervention to promote healthy lifestyle and weight loss for employees in the social welfare and health care sector: A randomized controlled trial. J. Med. Int. Res. 2017;19 doi: 10.2196/jmir.6196.
    1. Buller D.B., Berwick M., Lantz K., Buller M.K., Shane J., Kane I., Liu X. Evaluation of immediate and 12-week effects of a smartphone sun-safety mobile application: A randomized clinical trial. JAMA Dermatol. 2015;151:505–512. doi: 10.1001/jamadermatol.2014.3894.
    1. Glynn L.G., Hayes P.S., Casey M., Glynn F., Alvarez-Iglesias A., Newell J., ÓLaighin G., Heaney D., O’Donnell M., Murphy A.W. Effectiveness of a smartphone application to promote physical activity in primary care: The SMART MOVE randomised controlled trial. Br. J. Gen. Pract. 2014;64:e384–e391. doi: 10.3399/bjgp14X680461.
    1. Park Y.-J., Lee S.-J., Shin N.-M., Shin H., Jeon S., Lee J., Cho I. Application and Effect of Mobiletype-Bone Health Intervention in Korean Young Adult Women with Low Bone Mass: A Randomized Control Trial. Asian Nurs. Res. 2017;11:56–64. doi: 10.1016/j.anr.2017.03.005.
    1. Goodman S., Morrongiello B., Meckling K. A randomized, controlled trial evaluating the efficacy of an online intervention targeting vitamin D intake, knowledge and status among young adults. Int. J. Behav. Nutr. Phys. Act. 2016;13:116. doi: 10.1186/s12966-016-0443-1.
    1. Kerr D.A., Harray A.J., Pollard C.M., Dhaliwal S.S., Delp E.J., Howat P.A., Pickering M.R., Ahmad Z., Meng X., Pratt I.S. The connecting health and technology study: A 6-month randomized controlled trial to improve nutrition behaviours using a mobile food record and text messaging support in young adults. Int. J. Behav. Nutr. Phys. Act. 2016;13:52. doi: 10.1186/s12966-016-0376-8.
    1. Tran J., Tran R., White J.R. Smartphone-based glucose monitors and applications in the management of diabetes: An overview of 10 salient “apps” and a novel smartphone-connected blood glucose monitor. Clin. Diabetes. 2012;30:173–178. doi: 10.2337/diaclin.30.4.173.
    1. Mattila E., Lappalainen R., Pärkkä J., Salminen J., Korhonen I. Use of a mobile phone diary for observing weight management and related behaviours. J. Telemed. Telecare. 2010;16:260–264. doi: 10.1258/jtt.2009.091103.
    1. Mattila E., Pärkkä J., Hermersdorf M., Kaasinen J., Vainio J., Samposalo K., Merilahti J., Kolari J., Kulju M., Lappalainen R. Mobile diary for wellness management—Results on usage and usability in two user studies. IEEE Trans. Inf. Technol. Biomed. 2008;12:501–512. doi: 10.1109/TITB.2007.908237.
    1. Bort-Roig J., Gilson N.D., Puig-Ribera A., Contreras R.S., Trost S.G. Measuring and influencing physical activity with smartphone technology: A systematic review. Sports Med. 2014;44:671–686. doi: 10.1007/s40279-014-0142-5.
    1. Quanbeck A., Chih M.-Y., Isham A., Johnson R., Gustafson D. Mobile delivery of treatment for alcohol use disorders: A review of the literature. Alcohol. Res. Curr. Rev. 2014;36:111–122.
    1. Klasnja P., Pratt W. Healthcare in the pocket: Mapping the space of mobile-phone health interventions. J. Biomed. Inf. 2012;45:184–198. doi: 10.1016/j.jbi.2011.08.017.
    1. Rabbi M., Pfammatter A., Zhang M., Spring B., Choudhury T. Automated personalized feedback for physical activity and dietary behavior change with mobile phones: A randomized controlled trial on adults. JMIR mHealth uHealth. 2015;3 doi: 10.2196/mhealth.4160.
    1. Laing B.Y., Mangione C.M., Tseng C.-H., Leng M., Vaisberg E., Mahida M., Bholat M., Glazier E., Morisky D.E., Bell D.S. Effectiveness of a smartphone application for weight loss compared with usual care in overweight primary care patients: A randomized, controlled trial. Ann. Intern. Med. 2014;161:S5–S12. doi: 10.7326/M13-3005.
    1. Dennison L., Morrison L., Conway G., Yardley L. Opportunities and challenges for smartphone applications in supporting health behavior change: Qualitative study. J. Med. Internet Res. 2013;15:e86. doi: 10.2196/jmir.2583.
    1. Schoeppe S., Alley S., Van Lippevelde W., Bray N.A., Williams S.L., Duncan M.J., Vandelanotte C. Efficacy of interventions that use apps to improve diet, physical activity and sedentary behaviour: A systematic review. Int. J. Behav. Nutr. Phys. Act. 2016;13:127. doi: 10.1186/s12966-016-0454-y.
    1. Higgins J.P., Altman D.G., Gøtzsche P.C., Jüni P., Moher D., Oxman A.D., Savović J., Schulz K.F., Weeks L., Sterne J.A. The Cochrane Collaboration’s tool for assessing risk of bias in randomised trials. BMJ. 2011 doi: 10.1136/bmj.d5928.
    1. Naimark J.S., Madar Z., Shahar D.R. The impact of a Web-based app (eBalance) in promoting healthy lifestyles: Randomized controlled trial. J. Med. Internet Res. 2015;17:e56. doi: 10.2196/jmir.3682.
    1. Carter M.C., Burley V.J., Nykjaer C., Cade J.E. Adherence to a smartphone application for weight loss compared to website and paper diary: Pilot randomized controlled trial. J. Med. Internet Res. 2013;15:e32. doi: 10.2196/jmir.2283.
    1. Svetkey L.P., Batch B.C., Lin P.-H., Intille S.S., Corsino L., Tyson C.C., Bosworth H.B., Grambow S.C., Voils C., Loria C. Cell phone intervention for you (CITY): A randomized, controlled trial of behavioral weight loss intervention for young adults using mobile technology. Obesity. 2015;23:2133–2141. doi: 10.1002/oby.21226.
    1. King A.C., Hekler E.B., Grieco L.A., Winter S.J., Sheats J.L., Buman M.P., Banerjee B., Robinson T.N., Cirimele J. Effects of three motivationally targeted mobile device applications on initial physical activity and sedentary behavior change in midlife and older adults: A randomized trial. PLoS ONE. 2016;11:e0156370. doi: 10.1371/journal.pone.0156370.
    1. Nicholas J., Larsen M.E., Proudfoot J., Christensen H. Mobile apps for bipolar disorder: A systematic review of features and content quality. J. Med. Internet Res. 2015;17:e198. doi: 10.2196/jmir.4581.
    1. Holmen H., Wahl A.K., Småstuen M.C., Ribu L. Tailored communication within mobile apps for diabetes self-management: A systematic review. J. Med. Internet Res. 2017;19:e227. doi: 10.2196/jmir.7045.
    1. Weaver A., Young A., Rowntree J., Townsend N., Pearson S., Smith J., Gibson O., Cobern W., Larsen M., Tarassenko L. Application of mobile phone technology for managing chemotherapy-associated side-effects. Ann. Oncol. 2007;18:1887–1892. doi: 10.1093/annonc/mdm354.
    1. Grist R., Porter J., Stallard P. Mental health mobile apps for preadolescents and adolescents: A systematic review. J. Med. Internet Res. 2017;19:e176. doi: 10.2196/jmir.7332.
    1. Badawy S.M., Kuhns L.M. Texting and mobile phone app interventions for improving adherence to preventive behavior in adolescents: A systematic review. JMIR mHealth uHealth. 2017;5:e50. doi: 10.2196/mhealth.6837.
    1. Rabin C., Bock B. Desired features of smartphone applications promoting physical activity. Telemed. E-Health. 2011;17:801–803. doi: 10.1089/tmj.2011.0055.
    1. DeShazo J., Harris L., Turner A., Pratt W. Designing and remotely testing mobile diabetes video games. J. Telemed. Telecare. 2010;16:378–382. doi: 10.1258/jtt.2010.091012.
    1. Direito A., Jiang Y., Whittaker R., Maddison R. Apps for improving fitness and increasing physical activity among young people: The aimfit pragmatic randomized controlled trial. J. Med. Int. Res. 2015;17 doi: 10.2196/jmir.4568.
    1. Whittaker R., Maddison R., McRobbie H., Bullen C., Denny S., Dorey E., Ellis-Pegler M., van Rooyen J., Rodgers A. A multimedia mobile phone-based youth smoking cessation intervention: Findings from content development and piloting studies. J. Med. Int. Res. 2008;10 doi: 10.2196/jmir.1007.
    1. Gasser R., Brodbeck D., Degen M., Luthiger J., Wyss R., Reichlin S. International Conference on Persuasive Technology. Springer; Heidelberg/Berlin, Germany: 2006. Persuasiveness of a mobile lifestyle coaching application using social facilitation; pp. 27–38.
    1. Abraham C., Michie S. A taxonomy of behavior change techniques used in interventions. Health Psychol. 2008;27:379–387. doi: 10.1037/0278-6133.27.3.379.
    1. Consolvo S., McDonald D.W., Toscos T., Chen M.Y., Froehlich J., Harrison B., Klasnja P., LaMarca A., LeGrand L., Libby R. Activity sensing in the wild: A field trial of ubifit garden; Proceedings of the SIGCHI Conference on Human Factors in Computing Systems; Florence, Italy. 5–10 April 2008; New York, NY, USA: ACM; 2008. pp. 1797–1806.
    1. Matthews L., Pugmire J., Moore L., Kelson M., McConnachie A., McIntosh E., Morgan-Trimmer S., Murphy S., Hughes K., Coulman E. Study protocol for the ‘HelpMeDoIt!’randomised controlled feasibility trial: An app, web and social support-based weight loss intervention for adults with obesity. BMJ Open. 2017;7:e017159. doi: 10.1136/bmjopen-2017-017159.

Source: PubMed

3
購読する