Hostname: page-component-cd9895bd7-8ctnn Total loading time: 0 Render date: 2024-12-22T17:22:07.406Z Has data issue: false hasContentIssue false
  • English
  • Français

Predictability of dropout in unipolar depressed outpatients

Published online by Cambridge University Press:  16 April 2020

E Hoencamp ,
PMJ Haffmans  and
HJ Duivenvoorden
E Hoencamp
Affiliation:
Psychiatric Centre Bloemendaal, Monsterseweg 93, 2553 RJ, The Hague
PMJ Haffmans
Affiliation:
Psychiatric Centre Bloemendaal, Monsterseweg 93, 2553 RJ, The Hague
HJ Duivenvoorden
Affiliation:
Psychiatric Centre Bloemendaal, Monsterseweg 93, 2553 RJ, The Hague
Get access

Summary

In a three phase sequential treatment strategy study involving 119 depressed outpatients, a total of 31 patients (26.7%) stopped treatment prematurely due to side-effects (21/31), aggravation of symptoms (3/31), non-compliance (4/31), and non-treatment related events (3/31). At baseline, no significant differences were found on sociodemographic and psychiatric data between patients who did or did not drop out. As predictors of dropout eight domains of data concerning psychiatric history, premorbid history, symptomatology, personality, and social adjustment were used. Using a logistic linear regression analysis, only three variables were related to dropout. Patients with a history of alcohol use or poor social functioning according to axis V of the Diagnostic and Statistical Manual (DSM)-III-R had a higher chance to drop out, while patients with a sleep disturbance according to the Symptom Checklist (SCL)-90 had a smaller chance to drop out.

Keywords

predictiondepressiondrop out
Type
Original article
Information
European Psychiatry , Volume 13 , Issue 2 , 1998 , pp. 63 - 66
Copyright
Copyright © Elsevier, Paris 1998

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

American Psychiatric Association. Diagnostic and Statictical Manual of Mental Disorders (3rded, rev) (DSM-III-R). Washington, DC: APA; 1987Google Scholar
Arrindell, WA, Ettema, JHM. SCL-90. Handleiding bij een multidimensionele psycho pathologie indicator Lisse: Swets and Zeitlinger; 1986Google Scholar
Bech, P, Kastrup, M, Rafaelsen, OJ. Minicompendium of Rating scales for states of anxiety, depression, mania, schizophrenia with corresponding DSM-III syndromes Acta Psychiatr Scand 1986 ; 73 Supl 326 : 23-8Google Scholar
Book, HE. Some psychodynamics of non compliance Can J Psychiat 1987 ; 32 : 115-710.1177/070674378703200207CrossRefGoogle ScholarPubMed
Carney, MWP, Roth, M, Garside, RF. The diagnosis of depressive syndromes and the prediction of ECT response Br J Psychiat 1965 ; 3 : 659-7410.1192/bjp.111.477.659CrossRefGoogle Scholar
Dcrogatis, LR, Lipman, RS. Covi, L. The SCL-90: an outpatient psychiatric rating scale Psychopharmacol Bull 1973 ; 19 : 13–28Google Scholar
Frank, E, Prien, RF, Kupfer, DJ, Alberts, L. Implications of noncompliance on research in affective disorders Psychopharmacol Bull 1985 ; 21 : 37–42Google ScholarPubMed
Guscott, R, Grof, P. The clinical meaning of refractory depression: a review for the clinician Am J Psychiat 1991 : 148 : 695–704Google ScholarPubMed
Haynes, RB. A critical review of the ‘determinants’ of patient compliance with therapeutic regimes In: Sackett, DL, Haynes, RB eds. Compliance with therapeutic regimes Baltimore, London: The Johns Hopkins University Press; 1976Google Scholar
Hoencamp, E et al. Predictors of (non-)response in depressed outpatients treated with a three phase sequential medication strategy J Affect Disord 1994 ; 31 : 235-4610.1016/0165-0327(94)90099-XCrossRefGoogle ScholarPubMed
Jacob, M et al. Attrition in maintenance therapy for recurrent depression J Affect Disord 1984 ; 6 : 181-910.1016/0165-0327(84)90023-5CrossRefGoogle ScholarPubMed
Kornblith, SJ, Rehm, L, O'Hara, MW, Lamparski, DM. The contribution of self-reinforcement training and behavioral assignments to the efficacy of self-control therapy for depression Cogn Ther Res 1983 ; 7 : 499–52810.1007/BF01172888CrossRefGoogle Scholar
Last, CG, Thase, MS, Hersen, M, Bellack, AS, Himmelhoch, JM. Patterns of attrition for psychosocial and pharmacologic treatments of depression J Clin Psychiat 1985 ; 46 : 361-6Google ScholarPubMed
Myers, ED, Calvert, EJ. Information, compliance and sideeffects: A study of patients on antidepressant medication Br J Clin Pharmacol 1984 ; 17 : 21-510.1111/j.1365-2125.1984.tb04993.xCrossRefGoogle Scholar
Myers, ED, Branthwaite, A. Outpatient compliance with antidepressant medication Br J Psychiat 1992 ; 60 : 83-610.1192/bjp.160.1.83CrossRefGoogle Scholar
Overall, JE, Donachie, ND, Faillace, LA. Implications of restrictive diagnosis for compliance to antidepressant drug therapy: alprazolam versus imipramine J Clin Psychiat 1987 ; 48 : 51-4Google ScholarPubMed
Park, LC, Lipman, RS. A comparison of patient dosage deviation reports with pill counts Psychopharmacol 1964 ; 6 : 299–30210.1007/BF00413160CrossRefGoogle ScholarPubMed
Persons, JB, Burns, DD, Perloff, JJ. Predictors of dropout and outcome in cognitive therapy for depression in a private practice setting Cogn Ther Res 1988 ; 12 : 557-7510.1007/BF01205010CrossRefGoogle Scholar
Pugh, R. An association between hostility and poor adherence to treatment in patients suffering from depression Br J Med Psychol 1983 ; 56 : 205-810.1111/j.2044-8341.1983.tb01548.xCrossRefGoogle ScholarPubMed
Rabin, AS, Kaslow, NJ, Rehm, LP. Factors influencing continuation in behavioral therapy Behav Res Ther 1985 ; 23 : 695-810.1016/0005-7967(85)90068-3CrossRefGoogle ScholarPubMed
Roth, HP. Current perspectives the year update on patient compliance research Patient Educ Couns 1987 ; 10 : 107-1610.1016/0738-3991(87)90092-9CrossRefGoogle Scholar
Simons, AD, Levine, JL, Lustman, PJ, Murphy, GE. Patient attrition in a comparative outcome study of depression: a follow-up report J Affect Disord 1984 : 6 : 163-7310.1016/0165-0327(84)90021-1CrossRefGoogle Scholar
Spitzer, RL, Williams, JBW. Structured Clinical Interview for DSM III R personality disorders. SCID-II 13-11-1987 New York: New York State Psychiatric Institute; 1987Google Scholar
Spitzer, RL, Williams, JBW, Gibbon, M, First, MB. Structured clinical interview for DSM III-R Washington, DC: American Psychiatric Press; 1990Google Scholar
Spitzer, RL, Williams, JBW, Gibbon, M, First, MB. SCID — User's guide for the Structural Clinical Interview for DSM-III-R Washington, DC: American Psychiatric Press; 1990Google Scholar
Weismann, MM, Klerman, GL, Paykel, ES, Prusoff, BA, Hanson, B. Treatment effects on the social adjustment of depressed patients Arch Gen Psychiat 1974 ; 131 : 186-91Google Scholar
Weismann, MM, Prusoff, BA, Thomson, WD, Harding, PJ, Myers, JK. Social adjustment by self-report in a community sample and in psychiatric outpatients J Nerv Ment Disord 1978 : 166 : 317-2610.1097/00005053-197805000-00002CrossRefGoogle Scholar
Submit a response

Comments

No Comments have been published for this article.