The assessment of dementia severity using non-verbal cognitive tests
Objective: To explore the utility of cognitive tests, that did not rely on spoken language from participants for decision making about eligibility for treatment with Anti-cholinesterase Inhibitors (AchI). Methods: A cross-sectional design was used. Data was collected from 20 participants, aged 6...
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| Format: | Thesis (University of Nottingham only) |
| Language: | English |
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2010
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| Online Access: | https://eprints.nottingham.ac.uk/11907/ |
| _version_ | 1848791386745208832 |
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| author | Khan, Sobia T. |
| author_facet | Khan, Sobia T. |
| author_sort | Khan, Sobia T. |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | Objective: To explore the utility of cognitive tests, that did not rely on spoken language from participants for decision making about eligibility for treatment with Anti-cholinesterase Inhibitors (AchI).
Methods: A cross-sectional design was used. Data was collected from 20 participants, aged 65 to 90 years (M, 77.6: SD, 7.2), with dementia, or cognitive difficulties. The sample comprised of eleven males and nine females. The Mini-Mental State Examination (MMSE), and six alternative cognitive tests were administered, these were; the Rey Complex Figure Test (RCFT), Ravens Colour Progressive Matrices (RCPM), Symbol Digit Modalities Test (SDMT), Brixton Test, Clock Drawing Test (CDT), and Colour Trails Test (CTT).
Results: There was statistically significant correlations between the MMSE and the following cognitive tests: RCFT visual construction subtest(r= .609; P<.006), the RCFT recognition subtest (r= .496; P<.031), RCPM (r= .452; p<.045), the SDMT (r=.670; P<.001), the CTT 1 (Rho=-.576; P<.012) and the CDT (r=-.577; P<.008).
The area under the ROC curve values were as follows: RCFT visual construction (0.750, 95%, CI .524 - .976), RCFT recognition memory (0.801, 95%, CI .590 – 1.012), RCPM (0.573, 95%, CI 0.298 – 0.848), SDMT (0.708, 95%, CI 0.469 – 0.947), CTT1 (0.818, 95%, CI 0.610 – 1.027) and the CDT (0.734, 95%, CI 0.479 – 0.990). Cut-off scores with adequate sensitivity and specificity were identified for all the above measures apart from the RCPM, which had predictive accuracy that was equal to chance.
Conclusions: Cognitive tests which do not require spoken language have utility in differentiating between those who are and are not eligible for treatment with AchI, as defined by the cut-off (<20) on the MMSE in the National Institute for Clinical Excellence guidelines (NICE, 2007). |
| first_indexed | 2025-11-14T18:27:41Z |
| format | Thesis (University of Nottingham only) |
| id | nottingham-11907 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T18:27:41Z |
| publishDate | 2010 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-119072025-02-28T11:16:17Z https://eprints.nottingham.ac.uk/11907/ The assessment of dementia severity using non-verbal cognitive tests Khan, Sobia T. Objective: To explore the utility of cognitive tests, that did not rely on spoken language from participants for decision making about eligibility for treatment with Anti-cholinesterase Inhibitors (AchI). Methods: A cross-sectional design was used. Data was collected from 20 participants, aged 65 to 90 years (M, 77.6: SD, 7.2), with dementia, or cognitive difficulties. The sample comprised of eleven males and nine females. The Mini-Mental State Examination (MMSE), and six alternative cognitive tests were administered, these were; the Rey Complex Figure Test (RCFT), Ravens Colour Progressive Matrices (RCPM), Symbol Digit Modalities Test (SDMT), Brixton Test, Clock Drawing Test (CDT), and Colour Trails Test (CTT). Results: There was statistically significant correlations between the MMSE and the following cognitive tests: RCFT visual construction subtest(r= .609; P<.006), the RCFT recognition subtest (r= .496; P<.031), RCPM (r= .452; p<.045), the SDMT (r=.670; P<.001), the CTT 1 (Rho=-.576; P<.012) and the CDT (r=-.577; P<.008). The area under the ROC curve values were as follows: RCFT visual construction (0.750, 95%, CI .524 - .976), RCFT recognition memory (0.801, 95%, CI .590 – 1.012), RCPM (0.573, 95%, CI 0.298 – 0.848), SDMT (0.708, 95%, CI 0.469 – 0.947), CTT1 (0.818, 95%, CI 0.610 – 1.027) and the CDT (0.734, 95%, CI 0.479 – 0.990). Cut-off scores with adequate sensitivity and specificity were identified for all the above measures apart from the RCPM, which had predictive accuracy that was equal to chance. Conclusions: Cognitive tests which do not require spoken language have utility in differentiating between those who are and are not eligible for treatment with AchI, as defined by the cut-off (<20) on the MMSE in the National Institute for Clinical Excellence guidelines (NICE, 2007). 2010-12-08 Thesis (University of Nottingham only) NonPeerReviewed application/pdf en arr https://eprints.nottingham.ac.uk/11907/1/Sobia_Khan.pdf Khan, Sobia T. (2010) The assessment of dementia severity using non-verbal cognitive tests. DClinPsy thesis, University of Nottingham. Non verbal tests Measurement of cognitive function Treatment eligibility Mini-Mental State Examination Rey Complex Figure Test Raven‟s Colour Progressive Matrices Symbol Digit Modalities Test Brixton test Clock Drawing Test Colour Trails Test Dementia assessment |
| spellingShingle | Non verbal tests Measurement of cognitive function Treatment eligibility Mini-Mental State Examination Rey Complex Figure Test Raven‟s Colour Progressive Matrices Symbol Digit Modalities Test Brixton test Clock Drawing Test Colour Trails Test Dementia assessment Khan, Sobia T. The assessment of dementia severity using non-verbal cognitive tests |
| title | The assessment of dementia severity using non-verbal cognitive tests |
| title_full | The assessment of dementia severity using non-verbal cognitive tests |
| title_fullStr | The assessment of dementia severity using non-verbal cognitive tests |
| title_full_unstemmed | The assessment of dementia severity using non-verbal cognitive tests |
| title_short | The assessment of dementia severity using non-verbal cognitive tests |
| title_sort | assessment of dementia severity using non-verbal cognitive tests |
| topic | Non verbal tests Measurement of cognitive function Treatment eligibility Mini-Mental State Examination Rey Complex Figure Test Raven‟s Colour Progressive Matrices Symbol Digit Modalities Test Brixton test Clock Drawing Test Colour Trails Test Dementia assessment |
| url | https://eprints.nottingham.ac.uk/11907/ |