Planning and optimising a digital intervention to protect older adults' cognitive health.

Rosie Essery, Sebastien Pollet, Kirsten A Smith, Fiona Mowbray, Joanna Slodkowska-Barabasz, James Denison-Day, Victoria Hayter, Katherine Bradbury, Elisabeth Grey, Max J Western, Alexander Milton, Cheryl Hunter, Anne E Ferrey, Andre Matthias Müller, Beth Stuart, Nanette Mutrie, Simon Griffin, Tony Kendrick, Helen Brooker, Bernard Gudgin, Rosemary Phillips, Tom Stokes, John Niven, Paul Little, Lucy Yardley
Author Information
  1. Rosie Essery: Centre for Clinical and Community Applications of Health Psychology, University of Southampton, Southampton, UK. r.a.essery@soton.ac.uk. ORCID
  2. Sebastien Pollet: Centre for Clinical and Community Applications of Health Psychology, University of Southampton, Southampton, UK.
  3. Kirsten A Smith: Centre for Clinical and Community Applications of Health Psychology, University of Southampton, Southampton, UK.
  4. Fiona Mowbray: Centre for Clinical and Community Applications of Health Psychology, University of Southampton, Southampton, UK.
  5. Joanna Slodkowska-Barabasz: Centre for Clinical and Community Applications of Health Psychology, University of Southampton, Southampton, UK.
  6. James Denison-Day: Centre for Clinical and Community Applications of Health Psychology, University of Southampton, Southampton, UK.
  7. Victoria Hayter: Centre for Clinical and Community Applications of Health Psychology, University of Southampton, Southampton, UK.
  8. Katherine Bradbury: Centre for Clinical and Community Applications of Health Psychology, University of Southampton, Southampton, UK.
  9. Elisabeth Grey: Department for Health, University of Bath, Bath, UK.
  10. Max J Western: Department for Health, University of Bath, Bath, UK.
  11. Alexander Milton: School of Psychological Science, University of Bristol, Bristol, UK.
  12. Cheryl Hunter: University Hospitals Plymouth NHS Trust, Plymouth, UK.
  13. Anne E Ferrey: Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
  14. Andre Matthias Müller: Saw Swee Hock School of Public Health, National University of Singapore, Singapore, 117549, Singapore.
  15. Beth Stuart: Primary Care, Population Sciences and Medical Education, University of Southampton, Southampton, UK.
  16. Nanette Mutrie: Physical Activity for Health Research Centre, University of Edinburgh, Edinburgh, UK.
  17. Simon Griffin: Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
  18. Tony Kendrick: Primary Care, Population Sciences and Medical Education, University of Southampton, Southampton, UK.
  19. Helen Brooker: University of Exeter Medical School, Exeter, UK.
  20. Bernard Gudgin: Public and Patient Involvement (PPI) representative, Southampton, UK.
  21. Rosemary Phillips: Public and Patient Involvement (PPI) representative, Southampton, UK.
  22. Tom Stokes: Public and Patient Involvement (PPI) representative, Southampton, UK.
  23. John Niven: Public and Patient Involvement (PPI) representative, Southampton, UK.
  24. Paul Little: Primary Care, Population Sciences and Medical Education, University of Southampton, Southampton, UK.
  25. Lucy Yardley: Centre for Clinical and Community Applications of Health Psychology, University of Southampton, Southampton, UK. lucy.yardley@bristol.ac.uk.

Abstract

BACKGROUND: By 2050, worldwide dementia prevalence is expected to triple. Affordable, scalable interventions are required to support protective behaviours such as physical activity, cognitive training and healthy eating. This paper outlines the theory-, evidence- and person-based development of 'Active Brains': a multi-domain digital behaviour change intervention to reduce cognitive decline amongst older adults.
METHODS: During the initial planning phase, scoping reviews, consultation with PPI contributors and expert co-investigators and behavioural analysis collated and recorded evidence that was triangulated to inform provisional 'guiding principles' and an intervention logic model. The following optimisation phase involved qualitative think aloud and semi-structured interviews with 52 older adults with higher and lower cognitive performance scores. Data were analysed thematically and informed changes and additions to guiding principles, the behavioural analysis and the logic model which, in turn, informed changes to intervention content.
RESULTS: Scoping reviews and qualitative interviews suggested that the same intervention content may be suitable for individuals with higher and lower cognitive performance. Qualitative findings revealed that maintaining independence and enjoyment motivated engagement in intervention-targeted behaviours, whereas managing ill health was a potential barrier. Social support for engaging in such activities could provide motivation, but was not desirable for all. These findings informed development of intervention content and functionality that appeared highly acceptable amongst a sample of target users.
CONCLUSIONS: A digitally delivered intervention with minimal support appears acceptable and potentially engaging to older adults with higher and lower levels of cognitive performance. As well as informing our own intervention development, insights obtained through this process may be useful for others working with, and developing interventions for, older adults and/or those with cognitive impairment.

Keywords

References

  1. J Med Internet Res. 2016 Jun 17;18(6):e171 [PMID: 27317506]
  2. JMIR Res Protoc. 2020 Nov 20;9(11):e18929 [PMID: 33216010]
  3. JMIR Ment Health. 2019 Apr 09;6(4):e12104 [PMID: 30964438]
  4. Ageing Res Rev. 2020 Sep;62:101113 [PMID: 32534025]
  5. Ann Behav Med. 2013 Aug;46(1):81-95 [PMID: 23512568]
  6. J Prev Alzheimers Dis. 2020;7(1):29-36 [PMID: 32010923]
  7. Lancet. 2020 Aug 8;396(10248):413-446 [PMID: 32738937]
  8. Lancet. 2017 Dec 16;390(10113):2673-2734 [PMID: 28735855]
  9. Health Educ Behav. 2011 Feb;38(1):15-24 [PMID: 21191085]
  10. BMJ. 2012 Aug 07;345:e4547 [PMID: 22872695]
  11. Ageing Res Rev. 2013 Jan;12(1):263-75 [PMID: 22841936]
  12. PLoS One. 2016 Feb 04;11(2):e0144405 [PMID: 26845035]
  13. JAMA Intern Med. 2015 Jul;175(7):1094-1103 [PMID: 25961184]
  14. Gerontologist. 2019 Sep 17;59(5):925-935 [PMID: 30137363]
  15. Continuum (Minneap Minn). 2016 Apr;22(2 Dementia):404-18 [PMID: 27042901]
  16. Neurology. 2001 Jan 9;56(1):37-42 [PMID: 11148233]
  17. Health Educ Res. 2014 Oct;29(5):870-82 [PMID: 24980023]
  18. Lancet. 2006 Apr 15;367(9518):1262-70 [PMID: 16631882]
  19. Am J Prev Med. 2016 Nov;51(5):843-851 [PMID: 27745684]
  20. Lancet. 2015 Jun 6;385(9984):2255-63 [PMID: 25771249]
  21. Neuropsychol Rev. 2017 Mar;27(1):62-80 [PMID: 28092015]
  22. PLoS Med. 2014 Nov 18;11(11):e1001756 [PMID: 25405755]
  23. J Med Internet Res. 2017 Oct 25;19(10):e358 [PMID: 29070481]
  24. Prev Med. 2013 Dec;57(6):824-30 [PMID: 24076011]
  25. J Med Internet Res. 2015 Mar 17;17(3):e70 [PMID: 25783036]
  26. J Am Med Dir Assoc. 2015 Nov 1;16(11):990-7 [PMID: 26543007]
  27. BMJ. 2008 Sep 29;337:a1655 [PMID: 18824488]
  28. Int J Neuropsychopharmacol. 2017 Aug 1;20(8):624-633 [PMID: 28898959]
  29. BMC Geriatr. 2020 Mar 12;20(1):99 [PMID: 32164544]
  30. Ageing Res Rev. 2011 Sep;10(4):487-97 [PMID: 21628005]
  31. PLoS One. 2018 May 3;13(5):e0196868 [PMID: 29723262]
  32. Eur J Ageing. 2016 Mar 9;13(3):251-257 [PMID: 28804382]
  33. J Epidemiol Community Health. 2019 Jun;73(6):481-482 [PMID: 30787038]
  34. BMJ. 2015 Mar 19;350:h1258 [PMID: 25791983]
  35. Soc Sci Med. 2016 Jun;158:14-23 [PMID: 27104307]
  36. Mayo Clin Proc. 2016 Aug;91(8):999-1020 [PMID: 27492909]
  37. Pilot Feasibility Stud. 2019 Mar 12;5:41 [PMID: 30923626]
  38. BMC Med Inform Decis Mak. 2017 Jan 9;17(1):5 [PMID: 28069041]
  39. Addiction. 2008 Sep;103(9):1409-10 [PMID: 18783495]
  40. J Med Internet Res. 2015 Jan 30;17(1):e30 [PMID: 25639757]
  41. Implement Sci. 2017 Feb 23;12(1):25 [PMID: 28231840]
  42. Qual Saf Health Care. 2005 Feb;14(1):26-33 [PMID: 15692000]
  43. PLoS One. 2016 Jul 29;11(7):e0159703 [PMID: 27472560]
  44. Neurology. 2014 Oct 14;83(16):1410-6 [PMID: 25230996]
  45. Lancet Neurol. 2017 May;16(5):377-389 [PMID: 28359749]
  46. Acta Psychiatr Scand. 2009 Apr;119(4):252-65 [PMID: 19236314]
  47. J Med Internet Res. 2012 Mar 02;14(2):e39 [PMID: 22390878]
  48. J Am Geriatr Soc. 2007 Oct;55(10):1534-40 [PMID: 17908056]
  49. Implement Sci. 2011 Apr 23;6:42 [PMID: 21513547]
  50. J Alzheimers Dis. 2019;67(2):583-619 [PMID: 30689586]
  51. J Med Internet Res. 2013 Feb 05;15(2):e19 [PMID: 23470322]
  52. Implement Sci. 2012 Apr 24;7:37 [PMID: 22530986]
  53. Age Ageing. 2014 Sep;43(5):623-9 [PMID: 24554791]
  54. Gerontologist. 2019 Jan 9;59(1):e1-e15 [PMID: 29750241]
  55. Int J Behav Nutr Phys Act. 2014 Mar 10;11(1):35 [PMID: 24612748]
  56. J Am Geriatr Soc. 2018 Mar;66(3):487-495 [PMID: 29363108]
  57. Health Psychol Rev. 2015;9(3):323-44 [PMID: 25104107]
  58. Lancet. 2016 Aug 20;388(10046):797-805 [PMID: 27474376]
  59. JAMA. 2014 Dec 17;312(23):2551-61 [PMID: 25514304]
  60. Asia Pac Psychiatry. 2014 Jun;6(2):179-90 [PMID: 23857923]
  61. Am J Geriatr Psychiatry. 2015 Apr;23(4):335-359 [PMID: 24998488]
  62. J Behav Med. 2016 Jun;39(3):472-82 [PMID: 26798046]
  63. J Med Internet Res. 2020 Jun 1;22(6):e17253 [PMID: 32442136]

Grants

  1. MC_UU_00006/6/Medical Research Council
  2. RP-PG-0615-20014/Programme Grants for Applied Research

Word Cloud

Created with Highcharts 10.0.0interventioncognitiveolderadultssupportdevelopmenthigherlowerperformanceinformedcontentinterventionsbehavioursactivitydigitalamongstphasereviewsbehaviouralanalysislogicmodelqualitativeinterviewschangesmayfindingshealthengagingacceptableBACKGROUND:2050worldwidedementiaprevalenceexpectedtripleAffordablescalablerequiredprotectivephysicaltraininghealthyeatingpaperoutlinestheory-evidence-person-based'ActiveBrains':multi-domainbehaviourchangereducedeclineMETHODS:initialplanningscopingconsultationPPIcontributorsexpertco-investigatorscollatedrecordedevidencetriangulatedinformprovisional'guidingprinciples'followingoptimisationinvolvedthinkaloudsemi-structured52scoresDataanalysedthematicallyadditionsguidingprinciplesturnRESULTS:ScopingsuggestedsuitableindividualsQualitativerevealedmaintainingindependenceenjoymentmotivatedengagementintervention-targetedwhereasmanagingillpotentialbarrierSocialactivitiesprovidemotivationdesirablefunctionalityappearedhighlysampletargetusersCONCLUSIONS:digitallydeliveredminimalappearspotentiallylevelswellinforminginsightsobtainedprocessusefulothersworkingdevelopingand/orimpairmentPlanningoptimisingprotectadults'Behaviour-changeCognitive-healthDementiaDigital-interventionPhysicalPrevention

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