Skip to main content
Top
Gepubliceerd in: Quality of Life Research 3/2023

07-12-2022

Development of a self-report measure of cognitive change: assessment of interpretability in two samples, people with HIV and people without HIV

Auteurs: Navaldeep Kaur, Sorayya Askari, Lesley K. Fellows, Marie-Josée Brouillette, Nancy E. Mayo

Gepubliceerd in: Quality of Life Research | Uitgave 3/2023

Log in om toegang te krijgen
share
DELEN

Deel dit onderdeel of sectie (kopieer de link)

  • Optie A:
    Klik op de rechtermuisknop op de link en selecteer de optie “linkadres kopiëren”
  • Optie B:
    Deel de link per e-mail

Abstract

Aim

The overall aim of this study was to develop a method of measuring change in cognitive ability from the person’s perspective.

Methods

Cognitive change items came from an item pool that was used to develop the Communicating Cognitive Concerns Questionnaire (C3Q). The change items were administered to a test sample of 211 people with HIV + and a sample of 484 people drawn from the general population (HIV- sample). Rasch analysis was used to identify items that formed a linear continuum and correlations with measures of related constructs were used to support the interpretability of the new measure.

Results

Eleven of the original 12 change items fit the unidimensional Rasch model in both samples with a near similar ordering of the items. The average value for cognitive change of the HIV + sample was greater than that of the HIV- sample. Values on C3Q-Change correlated most highly (> 0.7) with current self-reported cognitive status and measures of depression and anxiety (> 0.6). The lowest correlation was with performance-based cognitive ability (r = 0.2).

Conclusion

The items of C3Q-Change fit a strong measurement model and related to converging constructs in an expected way. Further work needs to be done to assess the meaning of self-reported cognitive change in relationship to measured change and to examine sources of differential item functioning.
Bijlagen
Alleen toegankelijk voor geautoriseerde gebruikers
Literatuur
1.
go back to reference de Vet, H. C. W., et al. (2011). Measurement in medicine: A practical guide. Cambridge University Press.CrossRef de Vet, H. C. W., et al. (2011). Measurement in medicine: A practical guide. Cambridge University Press.CrossRef
2.
go back to reference Jorm, A. F., & Jacomb, P. A. (1989). The informant questionnaire on cognitive decline in the elderly (IQCODE): Socio-demographic correlates, reliability, validity and some norms. Psychological Medicine, 19(4), 1015–1022.CrossRefPubMed Jorm, A. F., & Jacomb, P. A. (1989). The informant questionnaire on cognitive decline in the elderly (IQCODE): Socio-demographic correlates, reliability, validity and some norms. Psychological Medicine, 19(4), 1015–1022.CrossRefPubMed
3.
go back to reference Gillespie, D. C., et al. (2015). Rehabilitation for post-stroke cognitive impairment: An overview of recommendations arising from systematic reviews of current evidence. Clinical Rehabilitation, 29(2), 120–128.CrossRefPubMed Gillespie, D. C., et al. (2015). Rehabilitation for post-stroke cognitive impairment: An overview of recommendations arising from systematic reviews of current evidence. Clinical Rehabilitation, 29(2), 120–128.CrossRefPubMed
5.
go back to reference Winston, A., & S.D.o.N.Y.U.N.H.C.T.U.S.A. Spudich,. (2020). Cognitive disorders in people living with HIV. The Lancet HIV, 7(7), e504–e513.CrossRefPubMed Winston, A., & S.D.o.N.Y.U.N.H.C.T.U.S.A. Spudich,. (2020). Cognitive disorders in people living with HIV. The Lancet HIV, 7(7), e504–e513.CrossRefPubMed
6.
go back to reference Robertson, K. R., et al. (2007). The prevalence and incidence of neurocognitive impairment in the HAART era. AIDS, 21(14), 1915–1921.CrossRefPubMed Robertson, K. R., et al. (2007). The prevalence and incidence of neurocognitive impairment in the HAART era. AIDS, 21(14), 1915–1921.CrossRefPubMed
7.
go back to reference McArthur, J. C., et al. (2010). Human immunodeficiency virus-associated neurocognitive disorders: Mind the gap. Annals of Neurology, 67(6), 699–714.PubMed McArthur, J. C., et al. (2010). Human immunodeficiency virus-associated neurocognitive disorders: Mind the gap. Annals of Neurology, 67(6), 699–714.PubMed
8.
go back to reference Simioni, S., et al. (2010). Cognitive dysfunction in HIV patients despite long-standing suppression of viremia. AIDS, 24(9), 1243–1250.CrossRefPubMed Simioni, S., et al. (2010). Cognitive dysfunction in HIV patients despite long-standing suppression of viremia. AIDS, 24(9), 1243–1250.CrossRefPubMed
9.
go back to reference Cysique, L., et al., 2012 Management issues in HIV-associated neurocognitive disorders. Neurobehavioral HIV Medicine, 4, p. 63.CrossRef Cysique, L., et al., 2012 Management issues in HIV-associated neurocognitive disorders. Neurobehavioral HIV Medicine, 4, p. 63.CrossRef
12.
go back to reference Heaton, R. K., et al. (2010). HIV-associated neurocognitive disorders persist in the era of potent antiretroviral therapy: Charter study. Neurology, 75(23), 2087–2096.CrossRefPubMedPubMedCentral Heaton, R. K., et al. (2010). HIV-associated neurocognitive disorders persist in the era of potent antiretroviral therapy: Charter study. Neurology, 75(23), 2087–2096.CrossRefPubMedPubMedCentral
13.
go back to reference Woods, S. P., et al. (2004). Interrater reliability of clinical ratings and neurocognitive diagnoses in HIV. Journal of Clinical and Experimental Neuropsychology, 26(6), 759–778.CrossRefPubMed Woods, S. P., et al. (2004). Interrater reliability of clinical ratings and neurocognitive diagnoses in HIV. Journal of Clinical and Experimental Neuropsychology, 26(6), 759–778.CrossRefPubMed
14.
go back to reference Chelune, G. J., Heaton, R. K., & Lehman, R. A. W. (1986). Neuropsychological and personality correlates of patients’ complaints of disability. Advances in clinical neuropsychology (Vol. 3, pp. 95–126). New York: Plenum Press.CrossRef Chelune, G. J., Heaton, R. K., & Lehman, R. A. W. (1986). Neuropsychological and personality correlates of patients’ complaints of disability. Advances in clinical neuropsychology (Vol. 3, pp. 95–126). New York: Plenum Press.CrossRef
15.
go back to reference Gifford, K. A., et al. (2015). Development of a subjective cognitive decline questionnaire using item response theory: A pilot study. Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring, 1(4), 429–439.CrossRef Gifford, K. A., et al. (2015). Development of a subjective cognitive decline questionnaire using item response theory: A pilot study. Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring, 1(4), 429–439.CrossRef
16.
go back to reference Damin, A. N. (2015). R; Brucki, SMD, Change Questionnaire as a method for cognitive impairment screening. Dementia & Neuropsychologia, 9(3), 8.CrossRef Damin, A. N. (2015). R; Brucki, SMD, Change Questionnaire as a method for cognitive impairment screening. Dementia & Neuropsychologia, 9(3), 8.CrossRef
17.
go back to reference Rattanabannakit, C., et al. (2016). The cognitive change index as a measure of self and informant perception of cognitive decline: Relation to neuropsychological tests. Journal of Alzheimer’s Disease, 51(4), 1145–1155.CrossRefPubMed Rattanabannakit, C., et al. (2016). The cognitive change index as a measure of self and informant perception of cognitive decline: Relation to neuropsychological tests. Journal of Alzheimer’s Disease, 51(4), 1145–1155.CrossRefPubMed
18.
19.
go back to reference Askari, S., et al. (2021). Development and validation of a voice-of-the-patient measure of cognitive concerns experienced by people living with HIV. Quality of Life Research, 30(3), 921–930.CrossRefPubMed Askari, S., et al. (2021). Development and validation of a voice-of-the-patient measure of cognitive concerns experienced by people living with HIV. Quality of Life Research, 30(3), 921–930.CrossRefPubMed
21.
go back to reference Tennant, A., & Conaghan, P. G. (2007). The Rasch measurement model in rheumatology: What is it and why use it? when should it be applied, and what should one look for in a Rasch paper? Arthritis and rheumatism, 57(8), 1358–1362.CrossRefPubMed Tennant, A., & Conaghan, P. G. (2007). The Rasch measurement model in rheumatology: What is it and why use it? when should it be applied, and what should one look for in a Rasch paper? Arthritis and rheumatism, 57(8), 1358–1362.CrossRefPubMed
22.
go back to reference Mayo, N. E., Brouillette, M. J., & Fellows, L. K. (2016). Understanding and optimizing brain health in HIV now: protocol for a longitudinal cohort study with multiple randomized controlled trials. BMC neurology, 16(1), 1–10.CrossRef Mayo, N. E., Brouillette, M. J., & Fellows, L. K. (2016). Understanding and optimizing brain health in HIV now: protocol for a longitudinal cohort study with multiple randomized controlled trials. BMC neurology, 16(1), 1–10.CrossRef
23.
go back to reference Koski, L., et al. (2011). Computerized testing augments pencil-and-paper tasks in measuring HIV-associated mild cognitive impairment(*). HIV Medicine, 12(8), 472–480.CrossRefPubMed Koski, L., et al. (2011). Computerized testing augments pencil-and-paper tasks in measuring HIV-associated mild cognitive impairment(*). HIV Medicine, 12(8), 472–480.CrossRefPubMed
24.
go back to reference Brouillette, M. J., et al. (2015). Quantifying cognition at the bedside: A novel approach combining cognitive symptoms and signs in HIV. BMC Neurology, 15, 224.CrossRefPubMedPubMedCentral Brouillette, M. J., et al. (2015). Quantifying cognition at the bedside: A novel approach combining cognitive symptoms and signs in HIV. BMC Neurology, 15, 224.CrossRefPubMedPubMedCentral
25.
go back to reference Lam, R. W., et al. (2018). Psychometric validation of the perceived deficits questionnaire-depression (PDQ-D) instrument in US and UK respondents with major depressive disorder. Neuropsychiatric Disease and Treatment, 14, 2861–2877.CrossRefPubMedPubMedCentral Lam, R. W., et al. (2018). Psychometric validation of the perceived deficits questionnaire-depression (PDQ-D) instrument in US and UK respondents with major depressive disorder. Neuropsychiatric Disease and Treatment, 14, 2861–2877.CrossRefPubMedPubMedCentral
26.
go back to reference Zigmond, A. S., & Snaith, R. P. (1983). The hospital anxiety and depression scale. Acta psychiatrica scandinavica, 67(6), 361–370.CrossRefPubMed Zigmond, A. S., & Snaith, R. P. (1983). The hospital anxiety and depression scale. Acta psychiatrica scandinavica, 67(6), 361–370.CrossRefPubMed
27.
go back to reference Hays, R. D., & Morales, L. S. (2001). The RAND-36 measure of health-related quality of life. Annals of Medicine, 33(5), 350–357.CrossRefPubMed Hays, R. D., & Morales, L. S. (2001). The RAND-36 measure of health-related quality of life. Annals of Medicine, 33(5), 350–357.CrossRefPubMed
28.
go back to reference Starkstein, S. E., et al. (1992). Reliability, validity, and clinical correlates of apathy in Parkinson’s disease. Journal of Neuropsychiatry and Clinical Neurosciences, 4(2), 134–139.CrossRefPubMed Starkstein, S. E., et al. (1992). Reliability, validity, and clinical correlates of apathy in Parkinson’s disease. Journal of Neuropsychiatry and Clinical Neurosciences, 4(2), 134–139.CrossRefPubMed
29.
go back to reference Schulz, P., & Schlotz, W. (1999). The Trier Inventory for the Assessment of Chronic Stress (TICS): Scale construction, statistical testing, and validation of the scale work overload. Diagnostica, 45(1), 8–19.CrossRef Schulz, P., & Schlotz, W. (1999). The Trier Inventory for the Assessment of Chronic Stress (TICS): Scale construction, statistical testing, and validation of the scale work overload. Diagnostica, 45(1), 8–19.CrossRef
32.
go back to reference Austin, P. C. (2009). Using the standardized difference to compare the prevalence of a binary variable between two groups in observational research. Communications in Statistics - Simulation and Computation, 38(6), 1228–1234.CrossRef Austin, P. C. (2009). Using the standardized difference to compare the prevalence of a binary variable between two groups in observational research. Communications in Statistics - Simulation and Computation, 38(6), 1228–1234.CrossRef
33.
go back to reference Norman, G. R., Sloan, J. A., & Wyrwich, K. W. (2004). The truly remarkable universality of half a standard deviation: Confirmation through another look. Expert Review of Pharmacoeconomics & Outcomes Research, 4(5), 581–585.CrossRef Norman, G. R., Sloan, J. A., & Wyrwich, K. W. (2004). The truly remarkable universality of half a standard deviation: Confirmation through another look. Expert Review of Pharmacoeconomics & Outcomes Research, 4(5), 581–585.CrossRef
34.
go back to reference Martin, E., & Velayudhan, L. (2020). Neuropsychiatric symptoms in mild cognitive impairment: A literature review. Dementia and Geriatric Cognitive Disorders, 49(2), 146–155.CrossRefPubMed Martin, E., & Velayudhan, L. (2020). Neuropsychiatric symptoms in mild cognitive impairment: A literature review. Dementia and Geriatric Cognitive Disorders, 49(2), 146–155.CrossRefPubMed
35.
go back to reference Warmoth, K., et al. (2016). Older adults’ perceptions of ageing and their health and functioning: A systematic review of observational studies. Psychology, Health & Medicine, 21(5), 531–550.CrossRef Warmoth, K., et al. (2016). Older adults’ perceptions of ageing and their health and functioning: A systematic review of observational studies. Psychology, Health & Medicine, 21(5), 531–550.CrossRef
36.
go back to reference John, P., & Montgomery, P. (2013). Does self-rated health predict dementia? Journal of Geriatric Psychiatry and Neurology, 26(1), 41–50.CrossRef John, P., & Montgomery, P. (2013). Does self-rated health predict dementia? Journal of Geriatric Psychiatry and Neurology, 26(1), 41–50.CrossRef
37.
go back to reference Stephan, Y., et al. (2021). Self-rated health and incident dementia over two decades: Replication across two cohorts. Journal of Psychiatric Research, 143, 462–466.CrossRefPubMed Stephan, Y., et al. (2021). Self-rated health and incident dementia over two decades: Replication across two cohorts. Journal of Psychiatric Research, 143, 462–466.CrossRefPubMed
38.
go back to reference Papazacharias, A., & Nardini, M. (2012). The relationship between depression and cognitive deficits. Psychiatria Danubina, 24(1), S179–S182.PubMed Papazacharias, A., & Nardini, M. (2012). The relationship between depression and cognitive deficits. Psychiatria Danubina, 24(1), S179–S182.PubMed
39.
go back to reference Dang, J., King, K. M., & Inzlicht, M. (2020). Why are self-report and behavioral measures weakly correlated? Trends in Cognitive Sciences, 24(4), 267–269.CrossRefPubMedPubMedCentral Dang, J., King, K. M., & Inzlicht, M. (2020). Why are self-report and behavioral measures weakly correlated? Trends in Cognitive Sciences, 24(4), 267–269.CrossRefPubMedPubMedCentral
40.
go back to reference Martin, R., et al. (2006). Determining empirically based self-reported cognitive change: Development of reliable change indices and standardized regression-based change norms for the multiple abilities self-report questionnaire in an epilepsy sample. Epilepsy & Behavior, 8(1), 239–245.CrossRef Martin, R., et al. (2006). Determining empirically based self-reported cognitive change: Development of reliable change indices and standardized regression-based change norms for the multiple abilities self-report questionnaire in an epilepsy sample. Epilepsy & Behavior, 8(1), 239–245.CrossRef
42.
go back to reference Askari, S., et al. (2020). Development and validation of a voice-of-the-patient measure of cognitive concerns experienced by people living with HIV. Quality of Life Research., 30(3), 921–930.CrossRefPubMed Askari, S., et al. (2020). Development and validation of a voice-of-the-patient measure of cognitive concerns experienced by people living with HIV. Quality of Life Research., 30(3), 921–930.CrossRefPubMed
43.
go back to reference U.S. Department of Health and Human Services FDA Center for Drug Evaluation and Research, U.S. Department of Health and Human Services FDA Center for Biologics Evaluation and Research, & U.S. Department of Health and Human Services FDA Center for Devices and Radiological Health (2009). Guidance for industry: patient-reported outcome measures: use in medical product development to support labeling claims: draft guidance. FDA. https://www.fda.gov/media/77832/download U.S. Department of Health and Human Services FDA Center for Drug Evaluation and Research, U.S. Department of Health and Human Services FDA Center for Biologics Evaluation and Research, & U.S. Department of Health and Human Services FDA Center for Devices and Radiological Health (2009). Guidance for industry: patient-reported outcome measures: use in medical product development to support labeling claims: draft guidance. FDA. https://​www.​fda.​gov/​media/​77832/​download
Metagegevens
Titel
Development of a self-report measure of cognitive change: assessment of interpretability in two samples, people with HIV and people without HIV
Auteurs
Navaldeep Kaur
Sorayya Askari
Lesley K. Fellows
Marie-Josée Brouillette
Nancy E. Mayo
Publicatiedatum
07-12-2022
Uitgeverij
Springer International Publishing
Gepubliceerd in
Quality of Life Research / Uitgave 3/2023
Print ISSN: 0962-9343
Elektronisch ISSN: 1573-2649
DOI
https://doi.org/10.1007/s11136-022-03288-8

Andere artikelen Uitgave 3/2023

Quality of Life Research 3/2023 Naar de uitgave