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Can a Theory-Informed Interactive Animation Increase Intentions to Engage in Physical Activity in Young People with Asthma?

  • Jennifer Murray
  • Brian Williams
  • Gaylor Hoskins
  • Silje Skar
  • John McGhee
  • Dylan Gauld
  • Gordon Brown
  • Shaun Treweek
  • Falko Sniehotta
  • Linda Cameron
  • Aziz Sheikh
  • Suzanne Hagen
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8512)

Abstract

A theoretically-informed interactive animation was developed, using themes drawn from psychology, sociology, applied health research, and narrative theory, which aimed to encourage young people with asthma to engage in physical activity. The animation was evaluated using qualitative and quantitative methods. A web-based Interactive Modelling Experiment was used to evaluate whether the animation was effective in three key areas: knowledge about asthma, inhaler use, and intention to increase physical activity. One-to-one interviews and focus groups were used to evaluate the acceptability of the animation and whether the theoretical basis was effective. Preliminary qualitative findings indicate good acceptability and perceived effectiveness. The quantitative findings are less clear, with a change in simulated activity and inhaler use being found, but with no clear association between these changes and the animation itself. Future work will be carried out to established whether these levels of acceptability and perceived effectiveness are actually translated into behaviour change.

Keywords

Asthma interactive animation wIME theory-informed multidisciplinary 

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References

  1. 1.
    Williams, B., Anderson, A., Barton, K., McGhee, J.: Can theory be embedded in visual interventions to promote self-management? A proposed model and worked example. International Journal of Nursing Studies 49(12), 1598–1609 (2012)CrossRefGoogle Scholar
  2. 2.
    Williams, B., Cameron, L.: The potential and problems of the increasing use of images in health care interventions: Are we running before we can walk? Journal of Health Services Research & Policy 14(4), 251–254 (2009)CrossRefGoogle Scholar
  3. 3.
    Craig, P., Dieppe, P., MacIntyre, S., Michie, S., Nazareth, I., Petticrew, M.: Developing and evaluating complex interventions: new guidance. Medical Research Council, 1–39 (2008)Google Scholar
  4. 4.
    Murray, J., Williams, B., Hoskins, G., McGhee, J., Gauld, D., Brown, G.: Developing a theory-informed interactive animation to increase physical activity among young people with asthma. In: Shumaker, R. (ed.) VAMR 2013, Part II. LNCS, vol. 8022, pp. 60–65. Springer, Heidelberg (2013)CrossRefGoogle Scholar
  5. 5.
    Anandan, C., Nurmatov, U., Schayck, O., Sheikh, A.: Is the prevalence of asthma declining? Systematic review of epidemiological studies. Allergy Asthma Proc. 65(2), 152–167 (2009)Google Scholar
  6. 6.
    Asher, M.I., Montefort, S., Bjorksten, B., Lai, C.K.W., Strachan, D.P., Weiland, S.K., et al.: Worldwide time trends in the prevalence of symptoms of asthma, allergic rhinoconjunctivitis, and eczema in childhood: ISAAC Phases One and Three repeat multicountry cross-sectional surveys. The Lancet 368(9537), 733–743 (2006)CrossRefGoogle Scholar
  7. 7.
    Beasley, R.: The International Study of Asthma and Allergies in Childhood (ISAAC) Steering Committee. Worldwide variation in prevalence of symptoms of asthma, allergic rhinoconjunctivitis, and atopic eczema: ISAAC. The Lancet 351(9111), 1225–1232 (1998)CrossRefGoogle Scholar
  8. 8.
    Dollman, J., Norton, K., Norton, L., Cleland, V.: Evidence for secular trends in children’s physical activity behaviour. Commentary, 892–897 (2005)Google Scholar
  9. 9.
    Glazebrook, C., McPherson, A.C., Macdonald, I.A.S., J. A, Ramsay, C., Newbould, R., Smyth, A.: Asthma as a barrier to children’s physical activity: implications for body mass index and mental health. Pediatrics 118(6), 2443–2449 (2006)Google Scholar
  10. 10.
    van Veldhoven, N.H.M.J., Vermeer, A., Bogaard, J.M., Hessels, M.G.P., Wijnroks, L., Colland, V.T., et al.: Children with asthma and physical exercise: effects of an exercise programme. Clinical Rehabilitation 15, 360–370 (2001)CrossRefGoogle Scholar
  11. 11.
    Welsh, L., Kemp, J.G., Roberts, R.G.D.: Effects of physical conditioning on children and adolescents with asthma. Sports Medicine 35(2), 127–141 (2005)CrossRefGoogle Scholar
  12. 12.
    Bonetti, D., Eccles, M., Johnston, M., Steen, N., Grimshaw, J., Baker, R., et al.: Guiding the design and selection of interventions to influence the implementation of evidence-based practice: An experimental simulation of a complex intervention trial. Social Science and Medicine 60, 2135–2147 (2005)CrossRefGoogle Scholar
  13. 13.
    Hrisos, S., Eccles, M., Johnston, M.: An intervention modelling experiment to change GPs’ intentions to implement evidence-based practice. BMC Health Services Research 8(10) (2008)Google Scholar
  14. 14.
    Yeatts, K., Sotir, M., Music, S., Herget, C.: Health consequences for children with undiagnosed asthma-like symptoms. Arch. Pediatr. Adolesc. Med. 157, 540–544 (2003)CrossRefGoogle Scholar
  15. 15.
    Ajzen, I.: The theory of planned behaviour. Organisational Behavior and Decision Processes 50, 179–211 (1991)CrossRefGoogle Scholar
  16. 16.
    Lee, J.R., Nass, C., Brave, S.B., Morishima, Y., Nakajima, H., Yamada, R.: The case for caring colearners: The effects of a computer-mediated colearner agent on trust and learning. Journal of Communication 57, 183–204 (2007)CrossRefGoogle Scholar
  17. 17.
    Ashill, N.J., Yavas, U.: Vignette development: An exposition and illustration. Innovative Marketing 2(1), 28–36 (2006)Google Scholar
  18. 18.
    Heverly, M.A., Fitt, D.X., Newman, F.L.: Constructing case vignettes for evaluating clinical judgment: An empirical model. Evaluation and Program Planning 7, 45–55 (1984)CrossRefGoogle Scholar
  19. 19.
    Gale, N.K., Heath, G., Cameron, E., Rashid, S., Redwood, S.: Using the framework method for the analysis of qualitative data in multidisciplinary health research. BMC Medical Research Methodology 13, 117 (2013)CrossRefGoogle Scholar
  20. 20.
    Jaspers, M.W.M.: A comparison of usability methods for testing interactive health technologies: Methodological aspects and empirical evidence. International Journal of Medical Informatics 5, 340–353 (2009)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Jennifer Murray
    • 1
  • Brian Williams
    • 2
  • Gaylor Hoskins
    • 2
  • Silje Skar
    • 2
  • John McGhee
    • 3
  • Dylan Gauld
    • 4
  • Gordon Brown
    • 5
  • Shaun Treweek
    • 6
  • Falko Sniehotta
    • 7
  • Linda Cameron
    • 8
  • Aziz Sheikh
    • 9
  • Suzanne Hagen
    • 10
  1. 1.School of Life, Sport and Social SciencesEdinburgh Napier UniversityEdinburghScotland
  2. 2.Nursing, Midwifery and Allied Health Professions Research UnitUniversity of StirlingStirlingScotland
  3. 3.College of Fine Arts, University of New South WalesAustralia
  4. 4.Duncan of Jordanstone College of Art and DesignUniversity of DundeeDundeeScotland
  5. 5.Asthma UK Scotland, EdinburghScotland
  6. 6.Health Services Research UnitUniversity of AberdeenAberdeenScotland
  7. 7.Newcastle UniversityNewcastleEngland
  8. 8.University of California MercedCaliforniaUSA
  9. 9.The University of EdinburghEdinburghScotland
  10. 10.Nursing, Midwifery and Allied Health Professions Research UnitGlasgow Caledonian, UniversityGlasgowScotland

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