Unravelling the Self-Report Versus Proxy-Report Conundrum for Older Aged Care Residents: Findings from a Mixed-Methods Study.


Journal

The patient
ISSN: 1178-1661
Titre abrégé: Patient
Pays: New Zealand
ID NLM: 101309314

Informations de publication

Date de publication:
20 Nov 2023
Historique:
accepted: 12 10 2023
medline: 21 11 2023
pubmed: 21 11 2023
entrez: 20 11 2023
Statut: aheadofprint

Résumé

No guidance currently exists as to the cognition threshold beyond which self-reported quality of life for older people with cognitive impairment and dementia is unreliable. Older aged care residents (≥ 65 years) were randomly assigned to complete the EQ-5D-5L in computer-based (eye movements were tracked) or hard copy (participants were encouraged to 'think aloud') format. Cognition was assessed using the Mini-Mental State Examination (MMSE). Think aloud and eye tracking data were analysed by two raters, blinded to MMSE scores. At the participant level, predefined criteria were used to assign traffic light grades (green, amber, red). These grades indicate the extent to which extracted data elements provided evidence of self-report reliability. The MMSE-defined cognition threshold was determined following review of the distributions of assigned traffic light grades. Eighty-one residents participated and provided complete data (38 eye tracking, 43 think aloud). In the think aloud cohort, all participants with an MMSE score ≤ 23 (n = 10) received an amber or red grade, while 64% of participants with an MMSE score ≥ 24 (21 of 33) received green grades. In the eye tracking cohort, 68% of participants with an MMSE score ≥ 24 (15 of 22) received green grades. Of the 16 eye tracking participants with an MMSE score ≤ 23, 14 (88%) received an amber or red grade. Most older residents with an MMSE score ≥ 24 have sufficient cognitive capacity to self-complete the EQ-5D-5L. More research is needed to better understand self-completion reliability for other quality-of-life instruments in cognitively impaired populations.

Identifiants

pubmed: 37985620
doi: 10.1007/s40271-023-00655-6
pii: 10.1007/s40271-023-00655-6
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© 2023. The Author(s), under exclusive licence to Springer Nature Switzerland AG.

Références

United Nations Department of Economic and Social Affairs, Population Division (2020). World population ageing 2020 highlights: living arrangements of older persons (ST/ESA/SER. A/451)
Australian Institute of Health and Welfare. Admitted patient care 2017–18: Australian hospital statistics. Canberra: Australian Government; 2019.
World Health Organisation. Integrated care for older people. Geneva: World Health Organisation; 2018.
Australian Institute of Health and Welfare. Gen aged care data: government spending on aged care. Canberra: Australian Government; 2020.
Department of Health and Aged Care. New residential aged care quality indicators. Australian Government, Canberra, 21 Sept. 2021.
Agarwal A, Pain T, Levesque J, et al. Patient-reported outcome measures (PROMs) to guide clinical care: recommendations and challenges. Med J Aust. 2022;216(1):9–11.
doi: 10.5694/mja2.51355 pubmed: 34897693
Sabah S, Knight R, Alvand A, Beard D, Price A. Early patient-reported outcomes from primary hip and knee arthroplasty have improved over the past seven years: an analysis of the NHS PROMs dataset. Bone Jt J. 2022;104-B(6):687–95.
doi: 10.1302/0301-620X.104B6.BJJ-2021-1577.R1
Organisation for Economic Cooperation and Development (OECD). All hands on deck: Co-developing the first international survey of people living with chronic conditions - Stakeholder engagement in the design, development, and field trial implementation of the PaRIS survey, OECD Health Working Paper No. 149, Jan. 2023.
Ernstsson O, Janssen M, Heintz A. Collection and use of EQ-5D for follow-up, decision-making, and quality improvement in health care-the case of the Swedish National Quality Registries. J Patient Report Outcomes. 2020;4:78.
doi: 10.1186/s41687-020-00231-8
Dean S, Al Sayah F, Johnson J. Measuring value in healthcare from a patients' perspective. J Patient Report Outcomes. 2021;5(Suppl 2):88.
doi: 10.1186/s41687-021-00364-4
Timmons S, Manning E, Barrett A, et al. Dementia in older people admitted to hospital: a regional multi-hospital observational study of prevalence, associations and case recognition. Age Ageing. 2015;44(6):993–9.
doi: 10.1093/ageing/afv131 pubmed: 26420638 pmcid: 4621233
Australian Institute of Health and Welfare. Dementia in Australia. Canberra: Australian Government; 2023.
O’Shea E, Hopper L, Marques M, et al. A comparison of self and proxy quality of life ratings for people with dementia and their carers: a European prospective cohort study. Aging Ment Health. 2020;24(1):162–70.
doi: 10.1080/13607863.2018.1517727 pubmed: 30381955
Sousa M, Santos R, Simoes P, Conde-Sala J, Dourado M. Discrepancies between Alzheimer’s disease patients’ and caregivers’ ratings about patients’ quality of life. Alzheimer Dis Assoc Disord. 2018;32(3):240–6.
doi: 10.1097/WAD.0000000000000232 pubmed: 29278557
Hutchinson C, Worley A, Khadka J, Milte R, Cleland J, Ratcliffe J. Do we agree or disagree? A systematic review of the application of preference-based instruments in self and proxy reporting of quality of life in older people. Soc Sci Med. 2022;305: 115046.
doi: 10.1016/j.socscimed.2022.115046 pubmed: 35636050
Ayton D, Gardam M, Pritchard E, et al. Patient-reported outcome measures to inform care of people with dementia-a systematic scoping review. The Gerontologist. 2021;61(5):e185–94.
doi: 10.1093/geront/gnz179 pubmed: 32369109
Brazier J, Ratcliffe J, Salomon J, Tsuchiya A. Measuring and valuing health benefits for economic evaluation. 2nd ed. Oxford: Oxford University Press; 2017.
Herdman M, Gudex C, Llloyd A, Janssen M, Kind P, Parkin D, Bonszel G, Badia X. Development and preliminary testing of the new five-level version of EQ-5D (EQ-5D-5L). Qual Life Res. 2011;20:1727–36.
doi: 10.1007/s11136-011-9903-x pubmed: 21479777 pmcid: 3220807
Lay K, Crocker M, Engel L, Ratcliffe J, Charlton S, Hutchinson C. How do older adults receiving aged care services understand and respond to the EQ-5D-5L? A think aloud study in residential care. Qual Health Res. 2023;32(11):3161–70.
Milte R, Crocker M, Lay K, Ratcliffe J, Mulhern B, Norman R, Viney R, Khadka J. Feasibility of self-reported health related quality of life assessment with older people in residential care: insights from the application of eye tracking technology. Qual Life Res. 2023;32(12):3557–69.
doi: 10.1007/s11136-023-03488-w pubmed: 37474850 pmcid: 10624716
Hennink M, Kaiser B, Marconi V. Code saturation versus meaning saturation: how many interviews are enough? Qual Health Res. 2017;27(4):591–608.
doi: 10.1177/1049732316665344 pubmed: 27670770
Wang K, Barr C, Norman R, George S, Whitehead C, Ratcliffe J. Using eye tracking technology with older people in memory clinics to investigate the impact of mild cognitive impairment on choices for EQ-5D-5L health states preferences. Appl Health Econ Health Policy. 2021;19(1):111–21.
doi: 10.1007/s40258-020-00588-3 pubmed: 32567035
Cullen B, Evans J, Coen R, et al. A review of screening tests for cognitive impairment. J Neurol Neurosurg Psychiatry. 2007;78:790–9.
doi: 10.1136/jnnp.2006.095414 pubmed: 17178826
Kahle-Wrobleski K, Corrada M, Li B, Kawas C. Sensitivity and specificity of the Mini-Mental State Examination for identifying dementia in the oldest-old: the 90+ Study. J Am Geriatr Soc. 2007;55(2):284–9.
doi: 10.1111/j.1532-5415.2007.01049.x pubmed: 17302668 pmcid: 3373261
National Institute for Health and Care Excellence. Donepezil, galantamine, rivastigmine and memantine for the treatment of Alzheimer’s disease. Technology appraisal guidance June 2018.
Van den Haak M, De Jong M, Schellnes P. Retrospective vs concurrent think aloud protocols: testing the usability of an online library catalogue. Behav Inform Technol. 2003;22(5):339–51.
doi: 10.1080/0044929031000
Whitty J, Walker R, Golenko X, Ratcliffe J. A think aloud study comparing the validity and acceptability of discrete choice and best worst scaling methods. PLoS ONE. 2014;9(4):e90635.
doi: 10.1371/journal.pone.0090635 pubmed: 24759637 pmcid: 3997335
Tobii Pro. Tobii Pro Eye Tracker Manager. 2017. https://www.tobiipro.com/product-listing/eye-tracker-manager/ . Accessed 12 July 2023.
Staub A, Rayner K. Eye movements and on-line comprehension processes. In: Gaskill G, editor. the Oxford Handbook of psycholinguistics. Oxford University Press; 2007. p. 327–42.
Guerriero C, Abrines Jaume N, Diaz-Ordaz K, Brown K, Wray J, Ashworth J, Abbiss M, Cairns J. Using animation to self-report health: a randomized experiment with children. The Patient. 2020;13:175–88.
doi: 10.1007/s40271-019-00392-9 pubmed: 31741279
Hutchinson C, Ratcliffe J, Cleland J, Walker R, Milte R, McBain C, Corlis M, Cornell V, Khadka J. The integration of mixed methods data to develop the quality of life-aged care consumers (QOL-ACC) instrument. BMC Geriatr. 2021;21(1):702.
doi: 10.1186/s12877-021-02614-y pubmed: 34911445 pmcid: 8672336
Keetharuth A, Taylor Buck E, Acquadro C, Conway K, Connell J, Barkham M, Carlton J, Ricketts T, Barber R, Brazier J. Integrating qualitative and quantitative data in the development of outcome measures: the case of the recovering quality of life (ReQoL) measures in mental health populations. Int J Environ Res Public Health. 2018;15(7):1342.
doi: 10.3390/ijerph15071342 pubmed: 29949892 pmcid: 6068869
Tourangeau R, Bradburn N. The psychology of survey response. In: Marsden P, Wright J, editors. Handbook of survey research. 2nd ed. Emerald publishing group; 2009. p. 315–46.
Beer C, Flicker L, Horner B, et al. Factors associated with self and informant ratings of the quality of life of people with dementia living in care facilities: a cross sectional study. PLoS ONE. 2010;5(12): e15621.
doi: 10.1371/journal.pone.0015621 pubmed: 21179448 pmcid: 3001486
Burks H, des Bordes J, Chadha R, Holmes H, Rianon N. Quality of life assessment in older adults with dementia: a systematic review. Dement Geriatr Cognit Disord. 2021;50:103–10.
doi: 10.1159/000515317
Neumann P, Sander G, Russell L, Seigel J, Ganiats T. Cost-effectiveness in health and medicine. Oxford, UK: Oxford University Press; 2016.
doi: 10.1093/acprof:oso/9780190492939.001.0001
Basch E. New frontiers in patient-reported outcomes: adverse event reporting, comparative effectiveness, and quality assessment. Annu Rev Med. 2014;65:307–17.
doi: 10.1146/annurev-med-010713-141500 pubmed: 24274179
Lavallee D, Chenok K, Love R, Petersen C, et al. Incorporating patient-reported outcomes into health care to engage patients and enhance care. Health Aff. 2016;35:575–82.
doi: 10.1377/hlthaff.2015.1362
US Preventive Services Task Force. Screening for cognitive impairment in older adults. US Preventive Services Task Force Recommendation Statement. JAMA. 2020;323(8):757–63.
doi: 10.1001/jama.2020.0435
World Health Organisation and Alzheimers Diseases International. Dementia: a public health priority. Berlin: World Health Organisation; 2012.
Griffiths A, Smith S, Martin A, Meads D, Kelley R, Surr C. Exploring self-report and proxy-report quality-of-life measures for people living with dementia in care homes. Qual Life Res. 2020;29:463–72.
doi: 10.1007/s11136-019-02333-3 pubmed: 31646416

Auteurs

Julie Ratcliffe (J)

Health and Social Care Economics Group, Caring Futures Institute, Flinders University, Bedford Park, Australia. julie.ratcliffe@flinders.edu.au.

Kiri Lay (K)

Health and Social Care Economics Group, Caring Futures Institute, Flinders University, Bedford Park, Australia.

Matthew Crocker (M)

Health and Social Care Economics Group, Caring Futures Institute, Flinders University, Bedford Park, Australia.

Lidia Engel (L)

Monash University Health Economics Group (MUHEG), School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia.

Rachel Milte (R)

Health and Social Care Economics Group, Caring Futures Institute, Flinders University, Bedford Park, Australia.

Claire Hutchinson (C)

Health and Social Care Economics Group, Caring Futures Institute, Flinders University, Bedford Park, Australia.

Jyoti Khadka (J)

Health and Social Care Economics Group, Caring Futures Institute, Flinders University, Bedford Park, Australia.

David G T Whitehurst (DGT)

Faculty of Health Sciences, Simon Fraser University, Burnaby, BC, Canada.

Brendan Mulhern (B)

Centre for Health Economics Research and Evaluation, University of Technology Sydney, Sydney, Australia.

Rosalie Viney (R)

Centre for Health Economics Research and Evaluation, University of Technology Sydney, Sydney, Australia.

Richard Norman (R)

School of Population Health, Curtin University, Perth, Australia.

Classifications MeSH