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  1. The survey form of SCAN : the feasibility of using experienced lay survey interviewers to administer a semi-structured systematic clinical assessment of psychotic and non-psychotic disorders.

    Article - En anglais


    The success of large scale surveys depends on well designed questionnaires and the skills of lay interviewers.

    Discrepancies in prevalence rates between epidemiological surveys and poor agreement between survey interviewer and clinician diagnostic interviews are giving rise to increasing concern among researchers, public health planners and policy developers.

    New approaches to information collection are called for.

    The feasibility of training experienced survey interviewers in semi-structured, clinical, diagnostic interviewing has never been investigated systematically across the range of neurotic and psychotic disorders.


    Eight experienced survey interviewers from the Office for National Statistics (ONS) were selected and underwent extended training in a Survey Form of SCAN (SCAN-SF).

    Sixty-four adults, including a majority of psychiatric in-patients were assessed by ONS interviewers and re-interviewed within a week by SCAN-trained clinicians.

    Feedback was sought from interviewers and trainers.


    Trainers found lay interviewers coped at least as well with psychotic as with neurotic symptoms.

    Concordance for any disorder was 0.74 (95% CI : 0.57 to 0.91) ; for any specific psychotic disorder 0.63 (0.40 to 0.86) ; for any specific neurotic disorder 0.63 (0.43 to 0.83).

    Sensitivity ranged from 0.6 to 0.9 and specificity from 0.8 to 0.9. There was no evidence of rater bias.


    These preliminary findings are very promising.


    Mots-clés Pascal : Psychose, Névrose, Diagnostic, Expérience professionnelle, Passation test, Santé mentale, Homme, Schedules for Clinical Assessment in Neuropsychiatry

    Mots-clés Pascal anglais : Psychosis, Neurosis, Diagnosis, Professional experience, Test administration, Mental health, Human

    Logo du centre Notice produite par :
    Inist-CNRS - Institut de l'Information Scientifique et Technique

    Cote : 99-0350159

    Code Inist : 002B18H04. Création : 14/12/1999.