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The Diagnostic Apathia Scale predicts the ability to return to work following depression or anxiety

Published online by Cambridge University Press:  25 September 2013

LC Hellström
Affiliation:
Psychiatric Research Unit, Mental Health Centre Copenhagen, Copenhagen University Hospital, Bispebjerg, Copenhagen, NV, Denmark
LF Eplov
Affiliation:
Psychiatric Research Unit, Mental Health Centre Copenhagen, Copenhagen University Hospital, Bispebjerg, Copenhagen, NV, Denmark
M Nordentoft
Affiliation:
Psychiatric Research Unit, Mental Health Centre Copenhagen, Copenhagen University Hospital, Bispebjerg, Copenhagen, NV, Denmark
SD Østergaard
Affiliation:
Research Department P, Aarhus University Hospital, Risskov, Denmark
P Bech*
Affiliation:
Psychiatric Research Unit, Mental Health Centre North Zealand, Copenhagen University Hospital, Hillerød, Denmark
*
Per Bech, Psychiatric Research Unit, Mental Health Centre North Zealand, University of Copenhagen, Dyrehavevej 48, DK-3400 Hillerød, Denmark. Tel: +45 38 64 30 95; Fax: +45 48 26 38 77; Email: Per.bech@regionh.dk

Abstract

Objective

The aim of this study was to evaluate the validity of a new apathy rating scale in predicting the ability to return to work (RTW) in patients with depression or anxiety a year after discharge from a psychiatric hospital.

Methods

We evaluated 56 patients with depression or anxiety, who participated in an on-going randomised clinical trial using RTW as primary outcome. The degree of apathy was measured by the Diagnostic Apathia Scale, which contains six items covering the following neuropsychological symptoms: concentration/memory problems, difficulties in decision making, lassitude, tiredness/fatigue, insomnia, and reduced ability to work and engage in personal interests. The scale was analysed for psychometric validity (scalability) and for its ability to predict RTW. Finally, the predictive validity of the Diagnostic Apathia Scale regarding RTW was compared with scales measuring severity of depression/anxiety symptoms, disability, and psychological well-being.

Results

The Diagnostic Apathia Scale displayed sufficient scalability, that is, the total score was a psychometrically valid measure of apathy. Only the Diagnostic Apathia Scale, and not the scales measuring severity of symptoms, disability, or psychological well-being, had predictive validity regarding RTW. Thus, 76% with ‘clinically significant apathy’ at baseline were unable to RTW versus 50% of the patients without apathy (p<0.05).

Conclusion

The Diagnostic Apathia Scale was found to have an acceptable predictive validity in terms of patients’ ability to RTW 1 year after discharge from hospitalisation for depression or anxiety.

Type
Original Articles
Copyright
© Scandinavian College of Neuropsychopharmacology 2014 

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References

1.Kessler, RC, Berglund, P, Demler, O, Jin, R, Merikangas, KR, Walters, EE. Lifetime prevalence and age-of-onset distributions of DSM-IV disorders in the National Comorbidity Survey Replication. Arch Gen Psychiatry 2005;62:593602.Google Scholar
2.Kessler, RC, Aguilar-Gaxiola, S, Alonso, Jet al. The global burden of mental disorders: an update from the WHO World Mental Health (WMH) surveys. Epidemiol Psichiatr Soc 2009;18:2333.Google Scholar
3.Romera, I, Perez, V, Menchon, JM, Polavieja, P, Gilaberte, I. Optimal cutoff point of the Hamilton Rating Scale for Depression according to normal levels of social and occupational functioning. Psychiatry Res 2011;186:133137.Google Scholar
4.Lam, RW, Parikh, SV, Ramasubbu, Ret al. Effects of combined pharmacotherapy and psychotherapy for improving work functioning in major depressive disorder. Br J Psychiatry 2013;203:358365.Google Scholar
5.Hees, HL, Koeter, MW, Schene, AH. Predictors of long-term return to work and symptom remission in sick-listed patients with major depression. J Clin Psychiatry 2012;73:e1048e1055.Google Scholar
6.Lagerveld, SE, Bultmann, U, Franche, RLet al. Factors associated with work participation and work functioning in depressed workers: a systematic review. J Occup Rehabil 2010;20:275292.Google Scholar
7.Van Der Werff, E, Verboom, CE, Penninx, BW, Nolen, WA, Ormel, J. Explaining heterogeneity in disability associated with current major depressive disorder: effects of illness characteristics and comorbid mental disorders. J Affect Disord 2010;127:203210.Google Scholar
8.Hensing, G, Bertilsson, M, Ahlborg, G Jr, Waern, M, Vaez, M. Self-assessed mental health problems and work capacity as determinants of return to work: a prospective general population-based study of individuals with all-cause sickness absence. BMC Psychiatry 2013;13:259.CrossRefGoogle ScholarPubMed
9.Bech, P, Gudex, C, Johansen, KS. The WHO (Ten) Well-Being Index: validation in diabetes. Psychother Psychosom 1996;65:183190.Google Scholar
10.Bech, P, Olsen, L, Kjoller, M, Rasmussen, N. Measuring well-being rather than the absence of distress symptoms: a comparison of the SF-36 mental health subscale and the WHO-Five well-being scale. Int J Meth Psych Res 2003;12:8591.Google Scholar
11.Marin, RS, Biedrzycki, RC, Firinciogullari, S. Reliability and validity of the Apathy Evaluation Scale. Psychiatry Res 1991;38:143162.Google Scholar
12.Berrios, GE, Gili, M. Abulia and impulsiveness revisited: a conceptual history. Acta Psychiatr Scand 1995;92:161167.CrossRefGoogle ScholarPubMed
13.Bech, P. Depressed mood as a core symptom of depression. Medicographia 2008;30:913.Google Scholar
14.Andreasson, K, Liest, V, Lunde, Met al.Identifying patients with therapy-resistant depression by using factor analysis. Pharmacopsychiatry 2010;43:252256.CrossRefGoogle ScholarPubMed
15.Hamilton, M. Development of a rating scale for primary depressive illness. Br J Soc Clin Psychol 1967;6:278296.Google Scholar
16.Bech, P, Kastrup, M, Rafaelsen, OJ. Mini-compendium of rating scales for states of anxiety, depression, mania, and schizophrenia with corresponding DSM-III syndromes. Acta Psychiatr Scand Suppl 1986;326:137.Google Scholar
17.Montgomery, SA, Asberg, M. A new depression scale designed to be sensitive to change. Br J Psychiatry 1979;134:382389.Google Scholar
18.World Health Organization. International Statistical Classification of Diseases and related health problems, 10th Revision (ICD-10). Diagnostic criteria for research. Geneva: World Health Organization, 1993.Google Scholar
19.Hellstrom, L, Bech, P, Nordentoft, M, Lindschou, J, Eplov, LF. The effect of IPS-modified, an early intervention for people with mood and anxiety disorders: study protocol for a randomised clinical superiority trial. Trials 2013;14:442.Google Scholar
20.Cumming, G. Understanding the new statistics: effect sizes, confidance intervals, and metaanalysis. London: Routledge, 2012.Google Scholar
21.Hees, HL, De Vries, G, Koeter, MW, Schene, AH. Adjuvant occupational therapy improves long-term depression recovery and return-to-work in good health in sick-listed employees with major depression: results of a randomised controlled trial. Occup Environ Med 2013;70:252260.Google Scholar
22.Sheehan, DV, Lecrubier, Y, Sheehan, KHet al.The Mini-International Neuropsychiatric Interview (M.I.N.I.): the development and validation of a structured diagnostic psychiatric interview for DSM-IV and ICD-10. J Clin Psychiatry 1998;59(Suppl. 20):2233. quiz 34–57.Google Scholar
23.Bech, P. Clinical psychometrics. Oxford: Wiley Blackwell, 2012.Google Scholar
24.Morosini, PL, Magliano, L, Brambilla, L, Ugolini, S, Pioli, R. Development, reliability and acceptability of a new version of the DSM-IV Social and Occupational Functioning Assessment Scale (SOFAS) to assess routine social functioning. Acta Psychiatrica Scandinavica 2000;101:323329.Google ScholarPubMed
25.Endicott, J, Spitzer, RL, Fleiss, JL, Cohen, J. The global assessment scale. A procedure for measuring overall severity of psychiatric disturbance. Arch Gen Psychiatry 1976;33:766771.CrossRefGoogle Scholar
26.Jones, SH, Thornicroft, G, Coffey, M, Dunn, G. A brief mental health outcome scale-reliability and validity of the Global Assessment of Functioning (GAF). Br J Psychiatry 1995;166:654659.CrossRefGoogle ScholarPubMed
27.Pedersen, G, Hagtvet, KA, Karterud, S. Generalizability studies of the Global Assessment of Functioning-Split version. Compr Psychiatry 2007;48:8894.CrossRefGoogle ScholarPubMed
28.Sheehan, DV. The anxiety disease. New York: Charles Scribner & Sons, 1983.Google Scholar
29.Hamilton, M. Diagnosis and rating of anxiety. Br J Psychiatry 1969;3:7679. Special Publication.Google Scholar
30.Molenaar, IW, Debels, P, Sijtsna, K. User’s manual MSP, a program for Mokken scale analyses for polytomous items (version 3.0). Groningen, The Netherlands: ProGAMMA, 1994.Google Scholar
31.Mokken, RJ. Theory and practice of scale analysis. Berlin: Mouton, 1971.Google Scholar
32.Siegel, S. Nonparametric statistics for the behavioural sciences. New York: McGraw Hill, 1956.Google Scholar
33.Bech, P. Social functioning: should it become an endpoint in trials of antidepressants? CNS Drugs 2005;19:313324.Google Scholar
34.Gustafsson, K, Lundh, G, Svedberg, P, Linder, J, Alexanderson, K, Marklund, S. Psychological factors are related to return to work among long-term sickness absentees who have undergone a multidisciplinary medical assessment. J Rehabil Med 2013;45:186191.Google Scholar
35.Fava, GA. Rational use of antidepressant drugs. Psychother Psychosom 2014;83:197204.Google Scholar
36.Healy, D. The suspended revolution: psychiatry and psychology re-examined. New York: Faber & Faber, 1989.Google Scholar
37.Sahakian, BJ. Cognitive dysfunction in depression: implications for treatment. Int J Neuropsychopharmacol 2014;17(Suppl. S34).Google Scholar
38.American Psychiatric Association. Diagnostic and statistical manual of mental disorders, fifth edition (DSM-5), 5th edn. Washington, DC: American Psychiatric Association, 2013.Google Scholar