Cited by 26

The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.

Determinants of implementing pet robots in nursing homes for dementia care

Koh, Wei Qi, Toomey, Elaine, Flynn, Aisling, Casey, Dympna·2022·BMC Geriatrics

Abstract

Background: Pet robots have been employed as viable substitutes to pet therapy in nursing homes. Despite their potential to enhance the psychosocial health of residents with dementia, there is a lack of studies that have investigated determinants of implementing pet robots in real-world practice. This study aims to explore the determinants of implementing pet robots for dementia care in nursing homes, from the perspectives of healthcare professionals and organisational leaders. Methods: A descriptive qualitative study, conceptualised and guided using the Consolidated Framework of Implementation Research (CFIR), was conducted. We conducted semi-structured interviews with healthcare professionals and organisational leaders from nursing homes. Data was transcribed and analysed using Framework Analysis, based on the CFIR as an a priori framework. Results: A total of 22 participants from eight nursing homes were included. Determinants were mapped to constructs from all five CFIR domains. Determinants relating to the characteristics of pet robots include their design, realisticness and interactivity, affordability, cleanability, perceived evidence strength and comparative advantages to live pets. Determinants relating to external influences (outer setting) include national regulatory guidelines, funding and networks with other organisations. With regards to characteristics of nursing homes (inner setting), determinants include the relevance of pet robots in relation to the needs of residents with dementia, alignment with care processes, infection control mandates and their relative priority. In the domain ‘characteristics of individuals’, determinants were associated with individuals’ beliefs on the role of technology, desires to enhance residents’ quality of life, and differential attitudes on the use of robots. Finally, in the domain ‘implementation process’, assessments and care planning were identified as determinants. Conclusions: Overall, while sentiments around determinants within CFIR domains of pet robots’ characteristics, outer setting and implementation process were similar, participants’ opinions on the determinants within the ‘inner setting’ and ‘characteristics of individuals’ were more varied. This could be due to different organisational structures, disciplinary differences and personal experiences of using pet robots. Many determinants in different domains were interrelated. Findings provide a springboard for identifying and designing implementation strategies to guide the translation of pet robots from research into real-world practice.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1186/s12877-022-03150-z

Cites

9 of 9 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Research works printed but not linked: 37

  1. Klimova B, Toman J, Kuca K. Effectiveness of the dog therapy for patients with dementia-a systematic review. BMC Psychiatry. 2019;19(1):1–7. · DOI
  2. Mordoch E, Osterreicher A, Guse L, Roger K, Thompson G. Use of social commitment robots in the care of elderly people with dementia: A literature review. Maturitas. 2013;74(1):14–20. · DOI · Paper page
  3. Moyle W, Bramble M, Jones CJ, Murfield JE. “She Had a Smile on Her Face as Wide as the Great Australian Bite”: A Qualitative Examination of Family Perceptions of a Therapeutic Robot and a Plush Toy. Gerontologist. 2019;59(1):177–85. · DOI
  4. Bradwell HL, Edwards KJ, Winnington R, Thill S, Jones RB. Companion robots for older people: importance of user-centred design demonstrated through observations and focus groups comparing preferences of older people and roboticists in South West England. BMJ open. 2019;9(9):e032468. · DOI
  5. Robinson H, MacDonald BA, Kerse N, Broadbent E. Suitability of healthcare robots for a dementia unit and suggested improvements. Journal of American Medical Directors Association. 2013;14(1):34–40. · DOI
  6. Leng MM, Liu P, Zhang P, Hu MY, Zhou HY, Li GC, et al. Pet robot intervention for people with dementia: A systematic review and meta-analysis of randomized controlled trials. Psychiatry Res. 2019;271:516–25. · DOI · Paper page
  7. Abbott R, Orr N, McGill P, Whear R, Bethel A, Garside R, Stein K, Thompson‐Coon J. How do “robopets” impact the health and well‐being of residents in care homes? A systematic review of qualitative and quantitative evidence. International journal of older people nursing. 2019 Sep;14(3):e12239. · DOI · Paper page
  8. Pu LH, Moyle W, Jones C, Todorovic M. The Effectiveness of Social Robots for Older Adults: A Systematic Review and Meta-Analysis of Randomized Controlled Studies. Gerontologist. 2019;59(1):E37–51. · DOI · Paper page
  9. Hung L, Liu C, Woldum E, Au-Yeung A, Berndt A, Wallsworth C, et al. The benefits of and barriers to using a social robot PARO in care settings: a scoping review. BMC Geriatr. 2019;19(1):1–10. · DOI · Paper page
  10. Ienca M, Jotterand F, Vică C, Elger B. Social and assistive robotics in dementia care: ethical recommendations for research and practice. Int J Soc Robot. 2016;8(4):565–73. · DOI
  11. Koh WQ, Ang FXH, Casey D. Impacts of low-cost robotic pets for older adults and people with dementia: scoping review. JMIR rehabilitation and assistive technologies. 2021;8(1): e25340. · DOI · Paper page
  12. Koh WQ, Whelan S, Heins P, Casey D, Toomey E, Dröes RM. The Usability and Impact of a Low-Cost Pet Robot for Older Adults and People With Dementia: Qualitative Content Analysis of User Experiences and Perceptions on Consumer Websites. JMIR aging. 2022;5(1):e29224. · DOI
  13. Landes SJ, McBain SA, Curran GM. An introduction to effectiveness-implementation hybrid designs. Psychiatry Res. 2019;283: 112630. · DOI · Paper page
  14. Fernandez ME, Ten Hoor GA, van Lieshout S, Rodriguez SA, Beidas RS, Parcel G, et al. Implementation mapping: using intervention mapping to develop implementation strategies. Front Public Health. 2019;7:158. · DOI · Paper page
  15. Koh WQ, Felding SA, Budak KB, Toomey E, Casey D. Barriers and facilitators to the implementation of social robots for older adults and people with dementia: a scoping review. BMC Geriatr. 2021;21(1):351. · DOI
  16. Damschroder LJ, Aron DC, Keith RE, Kirsh SR, Alexander JA, Lowery JC. Fostering implementation of health services research findings into practice: a consolidated framework for advancing implementation science. Implement Sci. 2009;4(1):1–15. · DOI · Paper page
  17. Sandelowski. Whatever happened to qualitative description? J Res Nurs Health.. 2000;23(4):334–40. · DOI
  18. Sandelowski. What’s in a name? Qualitative description revisited. J Res Nurs Health. 2010;33(1):77–84. · DOI · Paper page
  19. Sandelowski M. Whatever happened to qualitative description? Res Nurs Health. 2000;23(4):334–40. · DOI
  20. Koh WQ, Toomey E, Casey D. Exploring Barriers and Facilitators to the Implementation of Pet Robots for People With Dementia in Nursing Homes: A Qualitative Research Protocol. Int J Qual Methods. 2021;20:16094069211047060. · DOI
  21. Sim J, Saunders B, Waterfield J, Kingstone T. Can sample size in qualitative research be determined a priori? Int J Soc Res Methodol. 2018;21(5):619–34. · DOI
  22. Glenton C, Carlsen B, Lewin S, Munthe-Kaas H, Colvin CJ, Tunçalp Ö, et al. Applying GRADE-CERQual to qualitative evidence synthesis findings—paper 5: how to assess adequacy of data. Implement Sci. 2018;13(1):43–50. · DOI
  23. Guarino A, Favieri F, Boncompagni I, Agostini F, Cantone M, Casagrande M. Executive functions in Alzheimer disease: a systematic review. Frontiers in aging neuroscience. 2019:437. · DOI · Paper page
  24. Hayes H, Buckland S, Tarpey M. INVOLVE Briefing Notes for Researchers. 2020.
  25. Parkinson S, Eatough V, Holmes J, Stapley E, Midgley N. Framework analysis: a worked example of a study exploring young people’s experiences of depression. Qual Res Psychol. 2016;13(2):109–29. · DOI
  26. Ritchie J, Spencer L. Qualitative data analysis for applied policy research. In: Bryman A, Burgess RG, editors. Analysing qualitative data. London and New York: Routledge; 1994. p. 173–94. · DOI · Paper page
  27. Koh WQ, Whelan S, Heins P, Casey D, Toomey E, Dröes R-M. The Usability and Impact of a Low-Cost Pet Robot for Older Adults and People With Dementia: Qualitative Content Analysis of User Experiences and Perceptions on Consumer Websites. JMIR aging. 2022;5(1): e29224. · DOI
  28. Shiells K, Pivodic L, Holmerová I, Van den Block L. Self-reported needs and experiences of people with dementia living in nursing homes: a scoping review. Aging Ment Health. 2020;24(10):1553–68. · DOI
  29. Moyle W, Bramble M, Jones C, Murfield J. Care staff perceptions of a social robot called Paro and a look-alike Plush Toy: a descriptive qualitative approach. Aging Ment Health. 2018;22(3):330–5. · DOI
  30. Mervin MC, Moyle W, Jones C, Murfield J, Draper B, Beattie E, et al. The cost-effectiveness of using PARO, a therapeutic robotic seal, to reduce agitation and medication use in dementia: findings from a cluster–randomized controlled trial. J Am Med Dir Assoc. 2018;19(7):619–22 e1. · DOI
  31. Heward M, Adams A, Hicks B, Wiener J. ‘We go for a homely feel… not the clinical dementia side’: care home managers’ experiences of supporting residents with dementia to orientate and navigate care environments. Ageing Soc. 2020:1–27. · DOI
  32. Boumans J, van Boekel LC, Baan CA, Luijkx KG. How can autonomy be maintained and informal care improved for people with dementia living in residential care facilities: A systematic literature review. Gerontologist. 2019;59(6):e709–30. · DOI
  33. Damanpour F. Organizational innovation: A meta-analysis of effects of determinants and moderators. Acad Manag J. 1991;34(3):555–90. · DOI · Paper page
  34. Jakob A, Collier L. Sensory enrichment for people living with dementia: increasing the benefits of multisensory environments in dementia care through design. Design for Health. 2017;1(1):115–33. · DOI
  35. Greenhalgh T, Robert G, Macfarlane F, Bate P, Kyriakidou O. Diffusion of innovations in service organizations: systematic review and recommendations. Milbank Q. 2004;82(4):581–629. · DOI · Paper page
  36. Sparrow R. The March of the robot dogs. Ethics Inf Technol. 2002;4(4):305–18. · DOI
  37. Casey D, Lynch U, Murphy K, Cooney A, Gannon M, Houghton C, et al. Therapeutic lying and approaches to dementia care in Ireland: North & South. Dublin: Institute of Public Health and Ireland; 2016.

Cited by

Sorted by citations

See all 26

Metadata

Authors
Koh, W. Q., Toomey, E., Flynn, A., & Casey, D.
Venue
BMC Geriatrics
Published
2022-05-27
Volume
22
Issue
1
ISSN
1471-2318
Cited by
26
References
9
Language
en

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review