Title of article
Non-participation may bias the results of a psychiatric survey
Author/Authors
Marianne Haapea، نويسنده , , Jouko Miettunen، نويسنده , , Juha Veijola، نويسنده , , Erika Lauronen، نويسنده , , Pa¨ivikki Tanskanen، نويسنده , , Matti Isohanni، نويسنده ,
Issue Information
ماهنامه با شماره پیاپی سال 2007
Pages
7
From page
403
To page
409
Abstract
Objective A major reason for limited
validity of research is non-participation. Subjects with
severe mental illness tend to cumulate in the group of
non-participants, causing selection bias. We tested
the hypothesis that severe psychosis is linked to nonparticipation
in a field survey including magnetic
resonance imaging (MRI) of the brain, psychiatric
interviews and cognitive testing among subjects with
psychosis. Furthermore, we wanted to explore other
associative factors expected to affect non-participation.
Methods Members of the Northern Finland 1966
Birth Cohort with a lifetime diagnosis of psychosis
(N = 145) were invited to participate in the survey
conducted in 1999–2001. Non-participation was
determined by refusal or loss of contact. Data were
gathered in earlier phases of the follow-up study or
using register data. Results Ninety-one (63%) subjects
attended the study. Compared to participants,
non-participants were more often patients with
schizophrenia and had more psychiatric hospitalisations,
they had more positive psychosis symptoms
during their illness course and they were more often
on disability pension. Married subjects participated
more often than those who were not married.
Conclusion This study suggests that among subjects
with psychosis, particularly those subjects who have
the most severe course of illness are less willing to
participate. This may lead to biased estimates when
studying subjects with severe mental disorders.
Keywords
attrition – birth cohort – magneticresonance imaging – non-participation – schizophrenia– survey
Journal title
Social Psychiatry and Psychiatric Epidemiology (SPPE)
Serial Year
2007
Journal title
Social Psychiatry and Psychiatric Epidemiology (SPPE)
Record number
849217
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