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A Framework to Assist School Psychologists and Counsellors in Recommending Quality Apps for Supporting Diabetes Self-Management: An Illustrative Assessment Using Content Analysis

Published online by Cambridge University Press:  03 October 2018

Brett Furlonger ,
Marko Ostojic ,
Jasmine Chung ,
Katrina Philips ,
Margherita Busacca ,
Dennis Moore  and
Angelika Anderson
Brett Furlonger*
Affiliation:
Department of Educational Psychology, Counselling and Inclusive Education, Faculty of Education, Monash University, Melbourne, Victoria, Australia
Marko Ostojic
Affiliation:
Department of Educational Psychology, Counselling and Inclusive Education, Faculty of Education, Monash University, Melbourne, Victoria, Australia
Jasmine Chung
Affiliation:
Department of Educational Psychology, Counselling and Inclusive Education, Faculty of Education, Monash University, Melbourne, Victoria, Australia
Katrina Philips
Affiliation:
School of Psychology, Faculty of Science, The University of Auckland, New Zealand
Margherita Busacca
Affiliation:
Department of Educational Psychology, Counselling and Inclusive Education, Faculty of Education, Monash University, Melbourne, Victoria, Australia
Dennis Moore
Affiliation:
Department of Educational Psychology, Counselling and Inclusive Education, Faculty of Education, Monash University, Melbourne, Victoria, Australia
Angelika Anderson
Affiliation:
Department of Educational Psychology, Counselling and Inclusive Education, Faculty of Education, Monash University, Melbourne, Victoria, Australia
*
Address for correspondence: Dr Brett Furlonger, Faculty of Education, Monash University, 19 Ancora Imparo Way, Clayton VIC 3800, Australia. Email: [email protected]
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Abstract

A framework was examined to assist school psychologists and counsellors in recommending quality apps for supporting diabetes self-management. A content analysis was undertaken to assess behaviour change strategies in Apple and Android smartphone apps for the self-management of type 2 diabetes. The Behaviour Change Technique Taxonomy was used to assess the presence of behaviour change strategies, while the Mobile App Rating Scale was used to assess overall app quality. Raters found, on average, 7.13 behaviour change techniques out of a possible 93, indicating few behaviour change techniques in apps for the self-management of Type 2 diabetes. Analysis indicated that apps of a higher overall quality tended to incorporate more behaviour change strategies. It was concluded that mental-health professionals are advantaged if they are able to assess and refine selection tools for matching apps with the needs of students with diabetes.

Keywords

content-analysisappsevaluationcounsellingdiabetesstudents
Type
Articles
Information
Journal of Psychologists and Counsellors in Schools , Volume 29 , Issue 1 , June 2019 , pp. 82 - 97
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Copyright
© The Author(s) 2018 

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References

Australian Institute of Health and Welfare (AIHW). (2014). Type 2 diabetes in Australia's children and young people: a working paper (Diabetes Series no. 21. Cat. no. CVD 64). Canberra, Australia: Author.Google Scholar
Australian Institute of Health and Welfare (AIHW). (2015). Prevalence of type 1 diabetes among children aged 0–14 in Australia 2013. (Diabetes series no. 24. Cat. no. CVD 70). Canberra, Australia: Author.Google Scholar
Busacca, M.L., Anderson, A., Moore, D.W. (2015). Self-management for primary school students demonstrating problem behavior in regular classrooms: Evidence review of single-case design research. Journal of Behavioral Education, 24, 373–401. doi:10.1007/s10864-015-9230-3CrossRefGoogle Scholar
Cavanagh, S. (1997). Content analysis: concepts, methods and application. Nursing Research, 4, 5–16. doi:10.7748/nr.4.3.5.s2Google Scholar
Clay, R.A. (2017). More needed to treat diabetes. Monitor on Psychology, 48, 36.Google Scholar
Committee on Health and Behavior: Research, Practice and Policy, Board on Neuroscience and Behavioral Health. (2001). Health and behavior: The interplay of biological, behavioral, and societal influences. Washington, DC: National Academy Press.Google Scholar
Conroy, D.E., Yang, C-H, & Maher, J.P. (2014). Behavior change techniques in top-ranked mobile apps for physical activity. American Journal of Preventive Medicine, 46, 649–652.CrossRefGoogle ScholarPubMed
Craig, M., Twigg, S., Donaghue, K., Cheung, N., Cameron, F., Conn, J., Jenkins, A.J., & Silnik, M. (2011). National evidence-based clinical care guidelines for Type 1 diabetes in children, adolescents and adults. Canberra, Australia: Australian Government Department of Health and Ageing.Google Scholar
Crane, D., Garnett, C., Brown, J., West, R., & Michie, S. (2015). Behavior change techniques in popular alcohol reduction apps: Content analysis. Journal of Medical Internet Research, 17, 1–12.CrossRefGoogle ScholarPubMed
de Groot, M., Golden, S.H., & Wagner, J. (2016). Psychological conditions in adults with diabetes. American Psychologist, 71 (7), 552–562.CrossRefGoogle ScholarPubMed
Australia, Diabetes. (2015). Diabetes in Australia. Retrieved from the Diabetes Australia web site: https://www.diabetesaustralia.com.au/diabetes-in-australiaGoogle Scholar
Doshi, A., Patrick, K., Sallis, J.F., & Calfas, K. (2003). Evaluation of physical activity web sites for use of behavior change theories. Annals of Behavioral Medicine, 25, 105–111.CrossRefGoogle ScholarPubMed
El-Gayar, O., Timsina, P., Nawar, N., & Eid, W. (2013). Mobile applications for diabetes self-management: Status and potential. Journal of Diabetes Science and Technology, 7, 247–262.CrossRefGoogle ScholarPubMed
Folger, J.P., Hewes, D.E., & Poole, M.S. (1984). Coding social interaction. In Dervin, B. & Voigt, M.J. (Eds.), Progress in communication sciences (pp. 115–161). Norwood, NJ: Ablex.Google Scholar
Hale, K., Capra, S., & Bauer, J. (2015). A framework to assist health professionals in recommending high-quality apps for supporting chronic disease self-management: Illustrative assessment of type 2 diabetes apps. JMIR Mhealth Uhealth, 3, e87. doi: 10.2196/mhealth.4532CrossRefGoogle ScholarPubMed
Hsieh, H-F., & Shannon, S.E. (2005). Three approaches to qualitative analysis. Qualitative Health Research, 15, 1277–1288, doi.org/10.1177/1049732305276687CrossRefGoogle Scholar
Hunter, C.M. (2016). Understanding diabetes and the role of psychology in its prevention and treatment. American Psychologist, 71, 552–562.CrossRefGoogle ScholarPubMed
Kaid, L.L. (1989). Content analysis. In Emmert, P. & Barker, L.L. (Eds.), Measurement of communication behavior (pp. 197–217). New York: Longman.Google Scholar
Kracauer, S. (1952). The challenge of qualitative analysis. The Public Opinion Quarterly, 16, 631–642.CrossRefGoogle Scholar
Krippendorff, K. (2004). Content analysis: An introduction to its methodology (2nd ed.). Thousand Oaks, CA: Sage.Google Scholar
Kyngas, H., & Vanhanen, L. (1999). Content analysis [Finnish]. Hoitotiede 11, 3–12.Google Scholar
Locke, E.A., & Latham, G.P. (2006). New directions in goal-setting theory. Current Directions in Psychological Science, 15, 265–268. doi:10.1111/j. 1467-8721.2006.00449.xCrossRefGoogle Scholar
Michie, S., Richardson, M., Johnston, M., Abraham, C., Francis, J., Hardeman, W., Eccles, M.P., Cane, J., & Wood, C.E. (2013). The behaviour change techniques taxonomy (v1) of 93 hierarchically clustered techniques: Building an international consensus for the reporting of behaviour change interventions. Annals of Behavioral Medicine, 46, 81–95.CrossRefGoogle Scholar
Miltenberger, R. (2012). Behaviour modification: Principles and procedures. Belmont, CA: Wadsworth, Cengage Learning.Google Scholar
Morrissey, E.C., Corbett, T.K., Walsh, J.C., & Molloy, G.J. (2016). Behavior change techniques in apps for medication adherence: A content analysis. American Journal of Preventive Medicine, 50, 143–146.CrossRefGoogle ScholarPubMed
Ostojic, M., Chung, J., Di Mattia, M., Furlonger, B.E., Busacca, M., & Chittleborough, P. (2018). A review of the processes by which school psychologists and counsellors can use taxonomies to evaluate health related apps. Journal of Psychologists and Counsellors in Schools, 1–22. Advance online publication. doi:10.1017/jgc.2018.4Google Scholar
Phillips, A. (2016). Improving self-management of type 1 and type 2 diabetes. Nursing Standard, 30, 52–58.CrossRefGoogle ScholarPubMed
Stoyanov, S.R., Hides, L., Kavanagh, D.J., Wilson, H. (2016a). Development and validation of the user version of the mobile application rating scale (uMARS). JMIR Mhealth and Uhealth, 4, 1–5. doi.org/10.2196/mhealth.5849CrossRefGoogle Scholar
Stoyanov, S. (2016). MARS training video [Video file]. Retrieved from https://www.youtube.com/watch?v=25vBwJQIOcE&feature=youtu.beGoogle Scholar
The Department of Health. (2017). Diabetes. Retrieved from http://www.health.gov.au/internet/main/publishing.nsf/content/chronic-diabetes#s1Google Scholar
Waki, K., Fuki, K., Hayasha, A., Kimura, S., Kobayashi, H., Nangaku, M., Kadowaki, T., Ohe, K. (2016). DialBetics: Smartphone-based self-management for type 2 diabetes patients on insulin injections. Journal of Diabetes Science and Technology, 10, 804–805. doi: 10.1177/1932296815619638CrossRefGoogle ScholarPubMed
Weaver, R.R., Lemonde, M., Payman, N., & Goodman, W.M. (2014). Health capabilities and diabetes self-management: The impact of economic, social, and cultural resources. Social Science & Medicine, 102, 58–68.CrossRefGoogle ScholarPubMed
Weber, R.P. (1990). Basic content analysis. Beverly Hills, CA: Sage.CrossRefGoogle Scholar
Wood, C.E., Richardson, M., Johnston, M., Abraham, C., Francis, J., Hardeman, W., & Michie, S. (2015). Applying the behaviour change technique (BCT) taxonomy v1: A study of coder training. Translational Behavioral Medicine, 5, 134–148.CrossRefGoogle ScholarPubMed
Yang, C.-H., Maher, J.P., & Conroy, D.E. (2015). Implementation of behavior change techniques in mobile applications for physical activity. American Journal of Preventive Medicine, 48, 452–455.CrossRefGoogle ScholarPubMed