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A comparison of the revised Delirium Rating Scale (DRS–R98) and the Memorial Delirium Assessment Scale (MDAS) in a palliative care cohort with DSM–IV delirium

Published online by Cambridge University Press:  03 July 2014

Roisin O'Sullivan
Affiliation:
Department of Adult Psychiatry, University Hospital Limerick, Limerick, Ireland University of Limerick Medical School, Limerick, Ireland
David Meagher
Affiliation:
Department of Adult Psychiatry, University Hospital Limerick, Limerick, Ireland Cognitive Impairment Research Group, University of Limerick Medical School, Limerick, Ireland University of Limerick Medical School, Limerick, Ireland
Maeve Leonard
Affiliation:
Department of Adult Psychiatry, University Hospital Limerick, Limerick, Ireland Cognitive Impairment Research Group, University of Limerick Medical School, Limerick, Ireland University of Limerick Medical School, Limerick, Ireland
Leiv Otto Watne
Affiliation:
Department of Geriatric Medicine, Oslo University Hospital, Oslo, Norway University of Oslo, Institute of Clinical Medicine, Norway
Roanna J Hall
Affiliation:
Edinburgh Delirium Research Group, University of Edinburgh, Scotland Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Scotland
Alasdair M.J. Maclullich
Affiliation:
Edinburgh Delirium Research Group, University of Edinburgh, Scotland Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Scotland
Paula Trzepacz
Affiliation:
Lilly Research Laboratories, Indianapolis, Indiana Tufts University School of Medicine, Boston, Massachusetts Indiana University School of Medicine, Indianapolis, Indiana
Dimitrios Adamis*
Affiliation:
Cognitive Impairment Research Group, University of Limerick Medical School, Limerick, Ireland University of Limerick Medical School, Limerick, Ireland Sligo Mental Health Services, Sligo, Ireland Research and Academic Institute of Athens, Greece
*
Address correspondence and reprint requests to: Dimitrios Adamis, Sligo Mental Health Services, Clarion Road, Sligo, Ireland. E-mail: dimaadamis@yahoo.com

Abstract

Objective:

Assessment of delirium is performed with a variety of instruments, making comparisons between studies difficult. A conversion rule between commonly used instruments would aid such comparisons. The present study aimed to compare the revised Delirium Rating Scale (DRS–R98) and Memorial Delirium Assessment Scale (MDAS) in a palliative care population and derive conversion rules between the two scales.

Method:

Both instruments were employed to assess 77 consecutive patients with DSM–IV delirium, and the measures were repeated at three-day intervals. Conversion rules were derived from the data at initial assessment and tested on subsequent data.

Results:

There was substantial overall agreement between the two scales [concordance correlation coefficient (CCC) = 0.70 (CI95 = 0.60–0.78)] and between most common items (weighted κ ranging from 0.63 to 0.86). Although the two scales overlap considerably, there were some subtle differences with only modest agreement between the attention (weighted κ = 0.42) and thought process (weighted κ = 0.61) items. The conversion rule from total MDAS score to DRS–R98 severity scores demonstrated an almost perfect level of agreement (r = 0.86, CCC = 0.86; CI95 = 0.79–0.91), similar to the conversion rule from DRS–R98 to MDAS.

Significance of results:

Overall, the derived conversion rules demonstrated promising accuracy in this palliative care population, but further testing in other populations is certainly needed.

Type
Original Articles
Copyright
Copyright © Cambridge University Press 2014 

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References

REFERENCES

Adamis, D., Sharma, N., Whelan, P.J., et al. (2010). Delirium scales: A review of current evidence. Aging & Mental Health, 14(5), 543555.Google Scholar
Bland, J.M. & Altman, D.G. (1986). Statistical methods for assessing agreement between two methods of clinical measurement. Lancet, 1(8476), 307310.Google Scholar
Breitbart, W. & Alici, Y. (2012). Evidence-based treatment of delirium in patients with cancer. Journal of Clinical Oncology, 30(11), 12061214.Google Scholar
Breitbart, W., Rosenfeld, B., Roth, A., et al. (1997). The Memorial Delirium Assessment Scale. Journal of Pain and Symptom Management, 13(3), 128137.CrossRefGoogle ScholarPubMed
Cohen, J. (1968). Weighted kappa: Nominal scale agreement with provision for scaled disagreement or partial credit. Psychological Bulletin, 70(4), 213220.Google Scholar
Fleiss, J.L., Cohen, J. & Everitt, B.S. (1969). Large sample standard errors of kappa and weighted kappa. Psychological Bulletin, 72, 323327.Google Scholar
Franco, J.G., Trzepacz, P.T., Meagher, D.J., et al. (2012). Three core domains of delirium validated using exploratory and confirmatory factor analyses. Psychosomatics, 54(3), 227238.Google Scholar
Goodman, L.A. & Kruskal, W.H. (1963). Measures of association for cross-classifications. Journal of the American Statistical Association, 58, 310364.Google Scholar
Kazmierski, J., Kowman, M., Banach, M., et al. (2008). Clinical utility and use of DSM–IV and ICD–10 criteria and the Memorial Delirium Assessment Scale in establishing a diagnosis of delirium after cardiac surgery. Psychosomatics, 49(1), 7376.CrossRefGoogle ScholarPubMed
Kiely, D.K., Jones, R.N., Bergmann, M.A., et al. (2007). Association between psychomotor activity delirium subtypes and mortality among newly admitted post-acute facility patients. Journals of Gerontology Series A: Biological Sciences and Medical Sciences, 62(2), 174179.Google Scholar
Kobayashi, K., Takeuchi, O., Suzuki, M., et al. (1992). A retrospective study on delirium type. Japanese Journal of Psychiatry and Neurology, 46(4), 911917.Google Scholar
Kolen, M.J. & Tong, Y. (2005). Classical test score equating. In Encyclopedia of statistics in behavioral science. Everitt, B.S. & Howell, D.C. (eds.), pp. 282287. Chichester: John Wiley & Sons.Google Scholar
Leonard, M., Raju, B., Conroy, M., et al. (2008). Reversibility of delirium in terminally ill patients and predictors of mortality. Palliative Medicine, 22(7), 848854.Google Scholar
Lin, L.I. (1989). A concordance correlation coefficient to evaluate reproducibility. Biometrics, 45, 255268.CrossRefGoogle ScholarPubMed
Liptzin, B. & Levkoff, S.E. (1992). An empirical study of delirium subtypes. British Journal of Psychiatry, 161, 843845.CrossRefGoogle ScholarPubMed
Marcantonio, E., Ta, T., Duthie, E., et al. (2002). Delirium severity and psychomotor types: their relationship with outcomes after hip fracture repair. Journal of the American Geriatrics Society, 50(5), 850857.Google Scholar
Mattoo, S.K., Grover, S., Chakravarty, K., et al. (2012). Symptom profile and etiology of delirium in a referral population in northern India: Factor analysis of the DRS–R98. Journal of Neuropsychiatry & Clinical Neurosciences, 24(1), 95101.Google Scholar
Meagher, D., Moran, M., Raju, B., et al. (2008). A new data-based motor subtype schema for delirium. Journal of Neuropsychiatry & Clinical Neurosciences, 20(2), 185193.Google Scholar
Meagher, D.J., Leonard, M., Donnelly, S., et al. (2011). A longitudinal study of motor subtypes in delirium: relationship with other phenomenology, etiology, medication exposure and prognosis. Journal of Psychosomatic Research, 71(6), 395403.Google Scholar
Meagher, D.J., McLoughlin, L., Leonard, M., et al. (2013). What do we really know about the treatment of delirium with antipsychotics? Ten key issues for delirium pharmacotherapy. American Journal of Geriatric Psychiatry. 21(12), 12231238.CrossRefGoogle ScholarPubMed
Olofsson, S.M., Weitzner, M.A., Valentine, A.D., et al. (1996). A retrospective study of the psychiatric management and outcome of delirium in the cancer patient. Supportive Care in Cancer, 4(5), 351357.Google Scholar
Olsson, U. (1979). Maximum likelihood estimation of the polychoric correlation coefficient. Psychometrika, 44(4), 443460.Google Scholar
Revelle, W. (2013). Psych: Procedures for Personality and psychological research, Version 1.3.2. Available at http://CRAN.R-project.org/package=psych.Google Scholar
Ryan, D.J., O'Regan, N.A., Caoimh, R.O., et al. (2013). Delirium in an adult acute hospital population: Predictors, prevalence and detection. BMJ Open, 3(1).CrossRefGoogle Scholar
Shyamsundar, G., Raghuthaman, G., Rajkumar, A.P., et al. (2009). Validation of the memorial delirium assessment scale. Journal of Critical Care, 24(4), 530534.CrossRefGoogle ScholarPubMed
Svensson, E. (2000). Concordance between ratings using different scales for the same variable. Statistics in Medicine, 19(24), 34833496.Google Scholar
Trzepacz, P.T., Mittal, D., Torres, R., et al. (2001). Validation of the Delirium Rating Scale–Revised-98: Comparison with the Delirium Rating Scale and the cognitive test for delirium. Journal of Neuropsychiatry & Clinical Neurosciences, 13(2), 229242.Google Scholar
Trzepacz, P.T., Maldonado, J.R., Kean, J., et al. (2010). The Delirium Rating Scale–Revised-98 (DRS–R98) administration manual: A guide to increase understanding of how to solicit delirium symptoms to administer the DRS–R98. Indianapolis: Trzepacz.Google Scholar
World Medical Association (2014). Declaration of Helsinki: Ethical principles for research involving human subjects. [1964, amended 2008]. Available at http://www.wma.net/en/30publications/10policies/b3/.Google Scholar