Hostname: page-component-78c5997874-94fs2 Total loading time: 0 Render date: 2024-11-11T03:04:16.519Z Has data issue: false hasContentIssue false
  • English
  • Français

Naturalistic assessments in psychiatry

Published online by Cambridge University Press:  18 September 2015

M.W. Devries ,
C.D. Kaplan  and
P.A.E.G. Delespaul
Get access Rights & Permissions [Opens in a new window]

Extract

Research in psychiatry could speeden its progress by taking the manifest heterogenity and variability of symptom expression within diagnostic groups more fully into account. Since Kraepelin symptom variation has been recognized to have both biological and environmental roots. If investigated systematically, such variations in illness experience will yield new subtypes that will provide greater insight into the onset, course and vulnerability of mental disorders. Studies ranging from population surveys to the laboratory have demonstrated that psychopathology is not randomly distributed in a population, nor is it constantly present in the lives of individuals. At both the population and the person levels, psychopathology varies with time and place. At the population level, illness processes localize in risk groups, who often reside in specific neighbourhoods or social settings. The individual experience of psychopathology also fluctuates with time, place and culture. This variability requires methods for case detection and treatment planning that take this into account.

Keywords

Experience samplingcascadevalidityfocus groupssnowball samplingsocial network
Type
Research Article
Information
Acta Neuropsychiatrica , Volume 9 , Issue 2 , June 1997 , pp. 61 - 63
Copyright
Copyright © Cambridge University Press 1997

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

Literature

1.Vries, MW de, ed. The Experience of Psychopathology: Investigating mental Disorders in their natural Settings. Cambridge: Cambridge Univ Press, 1992.CrossRefGoogle Scholar
2.Kaplan, CD, Korf, D, Sterk, C. Temporal and social contexts of heroin-using populations. An illustration of the snowball sampling technique. J nerv ment Dis 1987;175:566–74.CrossRefGoogle ScholarPubMed
3.Krueger, RA, ed. Focus Groups. A practical Guide for applied Research. Newburry Park: California Sage Pubi, 1988.Google Scholar
4.Vries, MW De. Investigating mental disorders in their natural Settings. J nerv ment Dis 1987;175:509–13.Google Scholar
5.Keliam, SG, Rebok, GW. Building developmental etiological theory through epidemiologically based preventive intervention trials. In: McCord, J, Tremblay, RE, eds. Preventing deviant Behavior: Experimental Approaches from Birth to Adolescence. New York: Guilford Press, 1992.Google Scholar
6.Bieleman, B, Díaz, A, Merlo, G, Kaplan, C, eds. Lines across Europe: Nature and Extent of Cocaine use in Barcelona, Rotterdam and Turin. Amsterdam/Lisse: Swets & Zeitlinger, 1993.Google Scholar
7.Mehan, H, Wood, H. The Reality of Ethnomethodology. New York: John Wiley, 1975.Google Scholar
8.Kleinman, A. The Illness Narrative. New York: Basic Books, 1988.Google Scholar
9.Kaplan, CD. Drug craving and drug use in the daily life of heroin addicts. In: Vries, MW De, ed. The Experience of Psychopathology: Investigating mental disorders in their natural settings. Cambridge: Cambridge Univ Press, 1992.Google Scholar
10.Romme, MAJ, ADMAC, Escher. Hearing Voices. Schizophr Bull 1989;15:209–17.CrossRefGoogle ScholarPubMed
11.Jong, JTVM de, Clark, L, eds. WHO/UNHCR Mental Health Training Manual. Geneva: WHO, 1992.Google Scholar
12.Grund, J-P, Kaplan, CD, Adriaans, NFP. Needle sharing in the Netherlands: An ethnographic analyses. Am J Pubi Health, 1991;81: 1602–07.CrossRefGoogle Scholar
13.Baars, HMJ, Kaplan, CD, Manual for the Maastricht Social Network Analysis: Analysis and Description of personal social Network. Maastricht: Unigraphic, Maastricht Univ, 1996.Google Scholar
14.Watters, JK, Biernacki, P. Targeted sampling: Options for the study of hidden populations. Soc Problems, 1989;36:416–30.CrossRefGoogle Scholar
15.Frank, O, Snijders, T. Estimating the size of hidden populations using snowball sampling. Paper presented at the third European conference on social network analysis. Munchen, 06 10-13, 1993.Google Scholar
16.Bronfenbrenner, U. The Ecology of human Development. Cambridge (USA): Harvard Univ Press, 1979.Google Scholar
17.Wheeler, L, Reis, H T. Self-recording of everyday life events: Origins, types and uses. J Personal, 1991;59:339–54.CrossRefGoogle Scholar
18.Delespaul, PhAEG. Assessing Schizophrenia in daily Life. Maas-tricht:Maastricht Univ Press/Datawyse, 1995.Google Scholar
19.Ericsson, AK, Simon, HA. Protocol Analysis: Verbal Reports and Data. Cambridge, MA:MIT Press, 1985.Google Scholar
20.Barge-Schaapveld, DQCM, Nicolson, NA, Gerritsen van der Hoop, R, DeVries, MW. Changes in daily life experience associated with clinical improvement in depression. J affect Disord, 1995;34:139–54.CrossRefGoogle ScholarPubMed
21.Vries, MW De. Recontextualizing psychiatry: Toward an ecologically valid mental health research. In: Transcuit Psychiat 1997;34: 185–218.Google Scholar