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A framework to guide the development of smartphone
behavioural change mobile health applications
Oyebode Olatoye Oridota
Rhodes University
Grahamstown, South Africa
+27 785138731
oridotaoyebode@hotmail.com
ABSTRACT
Categories and Subject Descriptors
• Applied computing~Health informatics • Applied
computing • Applied computing~Life and medical sciences
Keywords
Mobile Health Applications; Smartphones; Behaviour Change;
mHealth;
1. INTRODUCTION
Mobile Health (mHealth) is an emerging area of research that is
concerned with the integration of mobile devices, mobile
technologies and medical sensors to ensure healthcare [7].
Recently, mHealth has seen an increase in uptake due to the
increased number of mobile devices used in healthcare [2, 13]. In
addition, there has been an increase in the number of mobile
health applications developed to support or manage lifestyle
behaviour changes [1, 11]. There is an exceptional number of
health and medical applications available for download on
smartphones devices and these mobile health applications have
the potential to impact technology-based interventions [11]. As
such, mobile health applications are now being used as
intervention tools in health related behaviour changes [4, 5].
2. Problem Statement
Despite the popularity of these mobile health applications for
lifestyle behaviour changes, little is known about the behaviour
change techniques (BCTs) used - or lack of thereof- in these
mobile health applications. There is a paucity of evidence on the
behaviour change techniques implemented in these mobile health
applications [3, 11]. The majority of these mobile health
applications fail to include key BCTs or vital evidence-based
strategies for the required behaviour change in their content [3, 4,
10, 14]. Furthermore, researchers are now using the different
behaviour change taxonomies to quantify the presence of health
behaviour change theoretical constructs and techniques included
in smartphone mobile health applications [1, 4, 9]. Although these
smartphone mobile health applications developers try to include
some BCTs in their content [4], the inclusion of these BCTs is far
from optimal [9]. In addition, these mobile health applications
generally do not provide knowledge on how to perform the
required behaviour change [4]. Consequently, research is finding
that the effectiveness of these mobile health applications to
support health behaviour change is still limited [11].
There are discrepancies in what mobile health application
developers build for behaviour change and what is expected by
experts on behaviour change. Thus, there is need for a framework
to guide the development of smartphone behavioural change
mobile health applications.
3. Methodology
A Design Science Research methodological approach will be
employed to guide the research. Design Science has become a
well-established method for conducting Information Systems
research [6.12]. Design science uses an iterative approach to (1)
identify the problem (2) design solution objectives; (3) design and
develop; (4) demonstrate; (5) evaluate; and (6) communicate [12]
Furthermore it is well suited for this research as the primary aim
of using a Design Science research is to produce or design an
artefact to solve a problem [6]. The initial development and
design of the framework will be built based on a thorough
literature review. Experts in developing behaviour change mobile
health applications will then review the initial framework using
questionnaires to determine its feasibility and utility [8]. To
demonstrate the framework, a proof of concept mobile health
application will then be prototyped determine the effectiveness of
the framework to guide the development of a mobile health
application.
4. Conclusion
In conclusion, the use of smartphone mobile health applications
for behaviour change interventions is growing and there is need
for guidance on how to develop these smartphone mobile health
applications for behaviour change. The framework will provide a
useful guidelines for developers who wants to build smartphone
mobile health applications that will be used for behaviour change
in individuals.
5. REFERENCES
[1] Abroms, L.C., Westmaas, J.L., Bontemps-Jones, J., Ramani,
R. and Mellerson, J., 2013. A content analysis of popular
smartphone apps for smoking cessation. American Journal of
Preventive Medicine, 45 (6), pp.732-736.
[2] Boulos, M.N., Wheeler, S., Tavares, C. and Jones, R., 2011.
How smartphones are changing the face of mobile and
participatory healthcare: an overview, with example from
Permission to make digital or hard copies of all or part of this work for
personal or classroom use is granted without fee provided that copies are
not made or distributed for profit or commercial advantage and that
copies bear this notice and the full citation on the first page. To copy
otherwise, or republish, to post on servers or to redistribute to lists,
requires prior specific permission and/or a fee.
SAICSIT, September 28–30, 2015, Stellenbosch, Cape Town, South
Africa.
Copyright 2010 ACM 1-58113-000-0/00/0010 …$15.00.
DOI: 10.475/1234
eCAALYX. Biomedical engineering online, 10, pp.24-925X-
10-24.
[3] Breton, E.R., Fuemmeler, B.F. and Abroms, L.C., 2011.
Weight loss—there is an app for that! But does it adhere to
evidence-informed practices? Translational behavioral
medicine, 1 (4), pp.523-529.
[4] Conroy, D.E., Yang, C. and Maher, J.P., 2014. Behavior
change techniques in top-ranked mobile apps for physical
activity. American Journal of Preventive Medicine, 46 (6),
pp.649-652.
[5] Cowan, L.T., Van Wagenen, S.A., Brown, B.A., Hedin, R.J.,
Seino-Stephan, Y., Hall, P.C. and West, J.H., 2013. Apps of
steel: are exercise apps providing consumers with realistic
expectations?: a content analysis of exercise apps for
presence of behavior change theory. Health education &
behavior : the official publication of the Society for Public
Health Education, 40 (2), pp.133-139.
[6] Hevner, A.R., March, S.T., Park, J. and Ram, S., 2004.
Design science in information systems research. MIS
Quarterly, 28 (1), pp.75-105.
[7] Iwaya, L., Gomes, M., Simplício, M., Carvalho, T.,
Dominicini, C.K., Sakuragui, R.R., Rebelo, M.S., Gutierrez,
M., Näslund, M. and Håkansson, P., 2013. Mobile health in
emerging countries: A survey of research initiatives in
Brazil. International journal of medical informatics, 82 (5),
pp.283-298.
[8] Johannesson, P. and Perjons, E., 2012. A design science
primer. CreateSpace.
[9] Middelweerd, A., Mollee, J.S., van der Wal, C., Brug, J. and
Te Velde, S.J., 2014. Apps to promote physical activity
among adults: a review and content analysis. Int J Behav
Nutr Phys Act, 11 (1), pp.97.
[10] Pagoto, S., Schneider, K., Jojic, M., DeBiasse, M. and Mann,
D., 2013. Evidence-based strategies in weight-loss mobile
apps. American Journal of Preventive Medicine, 45 (5),
pp.576-582.
[11] Payne, H.E., Lister, C., West, J.H. and Bernhardt, J.M., 2015.
Behavioral functionality of mobile apps in health
interventions: a systematic review of the literature. JMIR
mHealth and uHealth, 3 (1), pp.e20.
[12] Peffers, K., Tuunanen, T., Rothenberger, M.A. and
Chatterjee, S., 2007. A design science research methodology
for information systems research. Journal of Management
Information Systems, 24 (3), pp.45-77.
[13] Rosser, B.A. and Eccleston, C., 2011. Smartphone
applications for pain management. Journal of telemedicine
and telecare, 17 (6), pp.308-312.
[14] Yang, C., Maher, J.P. and Conroy, D.E., 2015.
Implementation of Behavior Change Techniques in Mobile
Applications for Physical Activity. American Journal of
Preventive Medicine, .

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  • 1. A framework to guide the development of smartphone behavioural change mobile health applications Oyebode Olatoye Oridota Rhodes University Grahamstown, South Africa +27 785138731 oridotaoyebode@hotmail.com ABSTRACT Categories and Subject Descriptors • Applied computing~Health informatics • Applied computing • Applied computing~Life and medical sciences Keywords Mobile Health Applications; Smartphones; Behaviour Change; mHealth; 1. INTRODUCTION Mobile Health (mHealth) is an emerging area of research that is concerned with the integration of mobile devices, mobile technologies and medical sensors to ensure healthcare [7]. Recently, mHealth has seen an increase in uptake due to the increased number of mobile devices used in healthcare [2, 13]. In addition, there has been an increase in the number of mobile health applications developed to support or manage lifestyle behaviour changes [1, 11]. There is an exceptional number of health and medical applications available for download on smartphones devices and these mobile health applications have the potential to impact technology-based interventions [11]. As such, mobile health applications are now being used as intervention tools in health related behaviour changes [4, 5]. 2. Problem Statement Despite the popularity of these mobile health applications for lifestyle behaviour changes, little is known about the behaviour change techniques (BCTs) used - or lack of thereof- in these mobile health applications. There is a paucity of evidence on the behaviour change techniques implemented in these mobile health applications [3, 11]. The majority of these mobile health applications fail to include key BCTs or vital evidence-based strategies for the required behaviour change in their content [3, 4, 10, 14]. Furthermore, researchers are now using the different behaviour change taxonomies to quantify the presence of health behaviour change theoretical constructs and techniques included in smartphone mobile health applications [1, 4, 9]. Although these smartphone mobile health applications developers try to include some BCTs in their content [4], the inclusion of these BCTs is far from optimal [9]. In addition, these mobile health applications generally do not provide knowledge on how to perform the required behaviour change [4]. Consequently, research is finding that the effectiveness of these mobile health applications to support health behaviour change is still limited [11]. There are discrepancies in what mobile health application developers build for behaviour change and what is expected by experts on behaviour change. Thus, there is need for a framework to guide the development of smartphone behavioural change mobile health applications. 3. Methodology A Design Science Research methodological approach will be employed to guide the research. Design Science has become a well-established method for conducting Information Systems research [6.12]. Design science uses an iterative approach to (1) identify the problem (2) design solution objectives; (3) design and develop; (4) demonstrate; (5) evaluate; and (6) communicate [12] Furthermore it is well suited for this research as the primary aim of using a Design Science research is to produce or design an artefact to solve a problem [6]. The initial development and design of the framework will be built based on a thorough literature review. Experts in developing behaviour change mobile health applications will then review the initial framework using questionnaires to determine its feasibility and utility [8]. To demonstrate the framework, a proof of concept mobile health application will then be prototyped determine the effectiveness of the framework to guide the development of a mobile health application. 4. Conclusion In conclusion, the use of smartphone mobile health applications for behaviour change interventions is growing and there is need for guidance on how to develop these smartphone mobile health applications for behaviour change. The framework will provide a useful guidelines for developers who wants to build smartphone mobile health applications that will be used for behaviour change in individuals. 5. REFERENCES [1] Abroms, L.C., Westmaas, J.L., Bontemps-Jones, J., Ramani, R. and Mellerson, J., 2013. A content analysis of popular smartphone apps for smoking cessation. American Journal of Preventive Medicine, 45 (6), pp.732-736. [2] Boulos, M.N., Wheeler, S., Tavares, C. and Jones, R., 2011. How smartphones are changing the face of mobile and participatory healthcare: an overview, with example from Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. SAICSIT, September 28–30, 2015, Stellenbosch, Cape Town, South Africa. Copyright 2010 ACM 1-58113-000-0/00/0010 …$15.00. DOI: 10.475/1234
  • 2. eCAALYX. Biomedical engineering online, 10, pp.24-925X- 10-24. [3] Breton, E.R., Fuemmeler, B.F. and Abroms, L.C., 2011. Weight loss—there is an app for that! But does it adhere to evidence-informed practices? Translational behavioral medicine, 1 (4), pp.523-529. [4] Conroy, D.E., Yang, C. and Maher, J.P., 2014. Behavior change techniques in top-ranked mobile apps for physical activity. American Journal of Preventive Medicine, 46 (6), pp.649-652. [5] Cowan, L.T., Van Wagenen, S.A., Brown, B.A., Hedin, R.J., Seino-Stephan, Y., Hall, P.C. and West, J.H., 2013. Apps of steel: are exercise apps providing consumers with realistic expectations?: a content analysis of exercise apps for presence of behavior change theory. Health education & behavior : the official publication of the Society for Public Health Education, 40 (2), pp.133-139. [6] Hevner, A.R., March, S.T., Park, J. and Ram, S., 2004. Design science in information systems research. MIS Quarterly, 28 (1), pp.75-105. [7] Iwaya, L., Gomes, M., Simplício, M., Carvalho, T., Dominicini, C.K., Sakuragui, R.R., Rebelo, M.S., Gutierrez, M., Näslund, M. and Håkansson, P., 2013. Mobile health in emerging countries: A survey of research initiatives in Brazil. International journal of medical informatics, 82 (5), pp.283-298. [8] Johannesson, P. and Perjons, E., 2012. A design science primer. CreateSpace. [9] Middelweerd, A., Mollee, J.S., van der Wal, C., Brug, J. and Te Velde, S.J., 2014. Apps to promote physical activity among adults: a review and content analysis. Int J Behav Nutr Phys Act, 11 (1), pp.97. [10] Pagoto, S., Schneider, K., Jojic, M., DeBiasse, M. and Mann, D., 2013. Evidence-based strategies in weight-loss mobile apps. American Journal of Preventive Medicine, 45 (5), pp.576-582. [11] Payne, H.E., Lister, C., West, J.H. and Bernhardt, J.M., 2015. Behavioral functionality of mobile apps in health interventions: a systematic review of the literature. JMIR mHealth and uHealth, 3 (1), pp.e20. [12] Peffers, K., Tuunanen, T., Rothenberger, M.A. and Chatterjee, S., 2007. A design science research methodology for information systems research. Journal of Management Information Systems, 24 (3), pp.45-77. [13] Rosser, B.A. and Eccleston, C., 2011. Smartphone applications for pain management. Journal of telemedicine and telecare, 17 (6), pp.308-312. [14] Yang, C., Maher, J.P. and Conroy, D.E., 2015. Implementation of Behavior Change Techniques in Mobile Applications for Physical Activity. American Journal of Preventive Medicine, .