, Utilisateurs de smartphone dans le monde 2014-2020 j Pr evision

. Stat, , 2019.

, Commission Europ eenne. LIVRE VERT sur la sant e mobile. Bruxelles, p.22, 2014.

T. D. Aungst, K. A. Clauson, S. Misra, T. L. Lewis, and I. Husain, How to identify, assess and utilise mobile medical applications in clinical practice, Int J Clin Pract, vol.68, issue.2, pp.155-62, 2014.

, De la e-sant e a la sant e connect ee. Paris: Le livre blanc du Conseil National de l'Ordre des M edecins, Conseil National de l'ordre des M edecins. Sant e connect ee, p.36, 2015.

L. Cambon, Health smart devices and applications?towards a new model of prevention?, Eur J Public Health, vol.27, issue.3, pp.390-391, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01586045

N. Wayne, D. F. Perez, D. M. Kaplan, and P. Ritvo, Health coaching reduces HbA1c in type 2 diabetic patients from a lowersocioeconomic status community: a randomized controlled trial, J Med Internet Res, vol.17, pp.224-224, 2015.

G. J. Norman, M. F. Zabinski, M. A. Adams, D. E. Rosenberg, A. L. Yaroch et al., A review of eHealth interventions for physical activity and dietary behavior change, Am J Prev Med, vol.33, pp.336-381, 2007.

N. R. Zahry, Y. Cheng, and W. Peng, Content analysis of diet-related mobile apps: a self-regulation perspective, Health Commun, vol.31, issue.10, pp.1301-1311, 2016.

A. Petit and L. Cambon, Exploratory study of the implications of research on the use of smart connected devices for prevention: a scoping review, BMC Public Health, vol.16, issue.1, p.552, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01376242

K. Azar, L. I. Lesser, . Laing, J. Stephens, M. S. Aurora et al., Mobile applications for weight management: theory-based content analysis, Am J Prev Med, vol.45, issue.5, pp.583-592, 2013.

M. Gourlan, P. Bernard, C. Bortolon, A. J. Romain, O. Lareyre et al., Efficacy of theory-based interventions to promote physical activity. A meta-analysis of randomised controlled trials, Health Psychol Rev, vol.10, issue.1, pp.50-66, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01917873

J. Chen, J. E. Cade, and M. Allman-farinelli, The most popular smartphone apps for weight loss: a quality assessment, JMIR MHealth UHealth, vol.3, issue.4, p.104, 2015.

P. Paill-e and A. Mucchielli, L'analyse qualitative en sciences humaines et sociales. Paris: A. Colin, 2012.

H. Arksey, O. Malley, and L. , Scoping studies: towards a methodological framework, Int J Soc Res Methodol, vol.8, issue.1, pp.19-32, 2005.

S. Anderson, P. Allen, S. Peckham, and N. Goodwin, Asking the right questions: scoping studies in the commissioning of research on the organisation and delivery of health services, Health Res Policy Syst, vol.6, issue.1, 2008.

A. C. Tricco, L. E. Zarin, W. O'brien, K. K. Colquhoun, H. Levac et al., PRISMA extension for scoping reviews (PRISMA-ScR): checklist and explanation, Ann Intern Med, vol.169, issue.7, pp.467-73, 2018.

J. Babineau, Product review: covidence (systematic review software). J Can Health Libr Assoc J Assoc Bibl Sant e Can, vol.35, pp.68-71, 2014.

S. Michie, M. Richardson, M. Johnston, C. Abraham, J. Francis et al., The behavior change technique taxonomy (v1) of 93 hierarchically clustered techniques: building an international consensus for the reporting of behavior change interventions, Ann Behav Med, vol.46, issue.1, pp.81-95, 2013.

J. Cane, M. Richardson, M. Johnston, R. Ladha, and S. Michie, From lists of behaviour change techniques (BCTs) to structured hierarchies: comparison of two methods of developing a hierarchy of BCTs, Br J Health Psychol, vol.20, issue.1, pp.130-50, 2015.

A. Bandura, Social foundations of thought and action: a social cognitive theory, p.617, 1986.

J. O. Prochaska, W. F. Velicer, J. S. Rossi, M. G. Goldstein, B. H. Marcus et al., Stages of change and decisional balance for 12 problem behaviors, Health Psychol, vol.13, issue.1, pp.39-46, 1994.

S. J. Hartman, S. H. Nelson, L. A. Cadmus-bertram, R. E. Patterson, B. A. Parker et al., Technology-and phone-based weight loss intervention: pilot RCT in women at elevated breast cancer risk, Am J Prev Med, vol.51, issue.5, pp.714-735, 2016.

N. Ratanawongsa, M. A. Handley, U. Sarkar, J. Quan, K. Pfeifer et al., Diabetes health information technology innovation to improve quality of life for health plan members in urban safety net, J Ambul Care Manag, vol.37, issue.2, pp.127-164, 2014.

S. Alley, C. Jennings, R. C. Plotnikoff, and C. Vandelanotte, My Activity Coach -using video-coaching to assist a web-based computer-tailored physical activity intervention: a randomised controlled trial protocol, BMC Public Health, vol.14, p.738, 2014.

B. Spring, J. M. Duncan, E. A. Janke, A. T. Kozak, H. G. Mcfadden et al., Integrating technology into standard weight loss treatment: a randomized controlled trial, JAMA Intern Med, vol.173, issue.2, pp.105-116, 2013.

B. C. Batch, C. Tyson, J. Bagwell, L. Corsino, S. Intille et al., Weight loss intervention for young adults using mobile technology: design and rationale of a randomized controlled trial -cell Phone Intervention for You (CITY), Contemp Clin Trials, vol.37, issue.2, pp.333-374, 2014.

L. Dennison, L. Morrison, S. Lloyd, D. Phillips, B. Stuart et al., Does brief telephone support improve engagement with a web-based weight management intervention? Randomized controlled trial, J Med Internet Res, vol.16, issue.3, p.95, 2014.

B. Nguyen, V. A. Shrewsbury, J. O'connor, K. S. Steinbeck, A. J. Hill et al., Two-year outcomes of an adjunctive telephone coaching and electronic contact intervention for adolescent

, weight-loss maintenance: the Loozit randomized controlled trial, Int J Obes, vol.37, issue.3, pp.468-72, 2013.

S. R. Partridge, M. Allman-farinelli, K. Mcgeechan, K. Balestracci, A. T. Wong et al., Process evaluation of TXT2BFiT: a multi-component mHealth randomised controlled trial to prevent weight gain in young adults, Int J Behav Nutr Phys Act, vol.13, issue.1, p.7, 2016.

C. A. Pellegrini, J. M. Duncan, A. C. Moller, J. Buscemi, A. Sularz et al., A smartphone-supported weight loss program: design of the ENGAGED randomized controlled trial, BMC Public Health, vol.12, p.1041, 2012.

L. P. Svetkey, B. C. Batch, P. Lin, S. S. Intille, L. Corsino et al., Cell phone intervention for you (CITY): a randomized, controlled trial of behavioral weight loss intervention for young adults using mobile technology, Obesity, vol.23, pp.2133-2174, 2015.

C. C. Quinn, M. D. Shardell, M. L. Terrin, E. A. Barr, S. H. Ballew et al., Cluster-randomized trial of a mobile phone personalized behavioral intervention for blood glucose control, Diabetes Care, vol.34, 2011.

R. D. Reid, L. I. Morrin, L. J. Beaton, S. Papadakis, J. Kocourek et al., Randomized trial of an internet-based computer-tailored expert system for physical activity in patients with heart disease, Eur J Prev Cardiol, vol.19, issue.6, pp.1357-64, 2012.

B. F. Skinner, Science and human behavior. Free Edition 1953

J. O. Prochaska, C. C. Diclemente, and J. C. Norcross, In search of how people change. Applications to addictive behaviors, Am Psychol, vol.47, issue.9, pp.1102-1116, 1992.

K. Witkiewitz and G. A. Marlatt, Relapse prevention for alcohol and drug problems: that was Zen, this is Tao, Am Psychol, vol.59, issue.4, pp.224-259, 2004.

I. Ajzen, The theory of planned behavior, Organ Behav Hum Decis Process, vol.50, issue.2, pp.179-211, 1991.

U. Bronfenbrenner, The ecology of human development: experiments by nature and design, p.330, 1996.

S. Pagoto, K. Schneider, M. Jojic, M. Debiasse, and D. Mann, Evidencebased strategies in weight-loss mobile apps, Am J Prev Med, vol.45, issue.5, pp.576-82, 2013.

L. Cadmus-bertram, S. H. Nelson, S. Hartman, R. E. Patterson, B. A. Parker et al., Randomized trial of a phone-and webbased weight loss program for women at elevated breast cancer risk: the HELP study, J Behav Med, vol.39, issue.4, pp.551-560, 2016.

J. Sangster, J. Church, M. Haas, S. Furber, and A. Bauman, A comparison of the cost-effectiveness of two pedometer-based telephone coaching programs for people with cardiac disease, Heart Lung Circ, vol.24, issue.5, pp.471-480, 2015.

S. L. Hughes, R. B. Seymour, and R. T. Campbell, Comparison of two health-promotion programs for older workers, Am J Public Health, vol.101, issue.5, pp.883-90, 2011.

. By, . Laing, C. M. Mangione, C. Tseng, M. Leng et al., Effectiveness of a smartphone application for weight loss compared with usual care in overweight primary care patients: a randomized, controlled trial, Ann Intern Med, vol.161, issue.10_Supplement, pp.5-12, 2014.

O. J. Peacock, M. J. Western, A. M. Batterham, A. Stathi, M. Standage et al., Multidimensional individualised Physical ACTivity (Mi-PACT)-a technologyenabled intervention to promote physical activity in primary care: study protocol for a randomised controlled trial, Trials, vol.16, pp.381-381, 2015.

J. Van-berkel, C. Boot, K. I. Proper, P. M. Bongers, and A. J. Van-der-beek, Effectiveness of a worksite mindfulness-based multicomponent intervention on lifestyle behaviors, Int J Behav Nutr Phys Act, vol.11, p.9, 2014.

D. Johnson, S. Deterding, K. Kuhn, A. Staneva, S. Stoyanov et al., Gamification for health and wellbeing: a systematic review of the literature, Internet Interv, vol.6, pp.89-106, 2016.

M. Van-vugt, M. De-wit, S. H. Hendriks, Y. Roelofsen, H. J. Bilo et al., Web-based self-management with and without coaching for type 2 diabetes patients in primary care: design of a randomized controlled trial, BMC Endocr Disord, vol.13, issue.1, p.53, 2013.

K. Kivela, S. Elo, H. Kyngas, and M. Kaariainen, The effects of health coaching on adult patients with chronic diseases: a systematic review, Patient Educ Counsel, vol.97, issue.2, pp.147-57, 2014.

A. Baumel and F. Muench, Heuristic evaluation of ehealth interventions: establishing standards that relate to the Therapeutic process perspective, JMIR Ment Health, vol.3, issue.1, p.5, 2016.

, Evaluation Des technologies de La Sante: Dispositifs Medicaux. Switzerland: World Health Organization, p.41, 2012.

, Report of the working group on mHealth assessment guidelines. Digital single market -european commission, 2017.

M. C. Gibbons, S. Z. Lowry, and E. S. Patterson, Applying human factors principles to mitigate usability issues related to embedded assumptions in health information technology design, JMIR Hum Factors, vol.1, issue.1, p.3, 2014.

K. Latulippe, C. Hamel, and D. Giroux, Social health inequalities and eHealth: a literature review with qualitative synthesis of theoretical and empirical studies, J Med Internet Res, vol.19, issue.4, p.136, 2017.

G. F. Moore, A. S. Barker, M. Bond, L. Bonell, C. Hardeman et al., Process evaluation of complex interventions: medical Research Council guidance, BMJ, vol.350, 2015.

P. Craig and M. Petticrew, Developing and evaluating complex interventions: reflections on the 2008 MRC guidance, Int J Nurs Stud, vol.50, issue.5, pp.585-592, 2013.

S. Michie, M. M. Van-stralen, and R. West, The behaviour change wheel: a new method for characterising and designing behaviour change interventions, Implement Sci, 2011.

, , vol.6, p.42

E. Murray, Web-based interventions for behavior change and self-management: potential, pitfalls, and progress, vol.1, p.3, 2012.

A. Middelweerd, D. M. Van-der-laan, M. M. Van-stralen, J. S. Mollee, M. Stuij et al., What features do Dutch university students prefer in a smartphone application for promotion of physical activity? A qualitative approach, Int J Behav Nutr Phys Act, vol.12, issue.3, 2015.

L. M. Ritterband, F. P. Thorndike, D. J. Cox, B. P. Kovatchev, and L. A. Gonder-frederick, A behavior change model for internet interventions, Ann Behav Med, vol.38, issue.1, pp.18-27, 2009.

J. Tang, C. Abraham, E. Stamp, and C. Greaves, How can weight-loss app designers' best engage and support users? A qualitative investigation, Br J Health Psychol, vol.20, issue.1, pp.151-71, 2015.

D. Silva, M. J. Breuer, E. Lee, L. Asher, L. Chowdhary et al., Theory of Change: a theory-driven approach to enhance the Medical Research Council's framework for complex interventions, Trials, vol.15, issue.1, p.267, 2014.

B. Spring, K. Schneider, H. G. Mcfadden, J. Vaughn, A. T. Kozak et al., Multiple behavior changes in diet and activity: a randomized controlled trial using mobile technology, Arch Intern Med, vol.172, issue.10, pp.789-96, 2012.

L. Cambon, P. Bergman, L. Faou, A. Vincent, I. et al., Study protocol for a pragmatic randomised controlled trial evaluating efficacy of a smoking cessation e-'Tabac Info Service': ee-TIS trial, BMJ Open, vol.7, issue.2, p.13604, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01516761

A. Romeo, S. Edney, R. Plotnikoff, R. Curtis, J. Ryan et al., Can smartphone apps increase physical activity? Systematic review and meta-analysis, J Med Internet Res, vol.21, issue.3, p.12053, 2019.

E. M. Murtagh, A. T. Barnes, J. Mcmullen, and P. J. Morgan, Mothers and teenage daughters walking to health: using the behaviour change wheel to develop an intervention to improve adolescent girls' physical activity, Publ Health, vol.158, pp.37-46, 2018.

M. Kebede, B. Steenbock, S. M. Helmer, J. Sill, T. M?-ollers et al., Identifying evidence-informed physical activity apps: content analysis, JMIR mHealth, vol.6, issue.12, p.10314, 2018.

A. Enam, J. Torres-bonilla, and H. Eriksson, Evidence-based evaluation of eHealth interventions: systematic literature review, J Med Internet Res, vol.20, issue.11, p.10971, 2018.

L. V. Eckerstorfer, N. K. Tanzer, C. Vogrincic-haselbacher, G. Kedia, H. Brohmer et al., Key elements of mHealth interventions to successfully increase physical activity: meta-regression, JMIR mHealth, vol.6, issue.11, p.10076, 2018.

L. Spassova, D. Vittore, and D. W. Droste, Randomised controlled trial to evaluate the efficacy and usability of a computerised phone-based lifestyle coaching system for primary and secondary prevention of stroke, BMC Neurol, vol.16, p.22, 2016.

E. M. Taveras, J. Mcdonald, A. O'brien, J. Haines, B. Sherry et al., Healthy Habits, Happy Homes: methods and baseline data of a randomized controlled trial to improve household routines for obesity prevention, Prev Med, vol.55, issue.5, pp.418-444, 2012.