Fm. Boyle et al., ESTIMATING NONPARTICIPATION BIAS IN A LONGITUDINAL-STUDY OF BEREAVEMENT, Australian and New Zealand journal of public health, 20(5), 1996, pp. 483-487
Nonparticipants in epidemiological studies may differ in important res
pects from participants but the magnitude of this potential bias is ra
rely quantified. This study estimates the effect of nonparticipation o
n estimates of mental health problems following stillbirth, neonatal d
eath or sudden infant death syndrome. Of 805 families approached, 512
(64 per cent) were recruited, of whom 77 per cent of mothers and 71 pe
r cent of fathers completed four study interviews. Younger, unmarried,
unemployed parents without private health insurance were less often r
ecruited, and even if recruited, were less likely to complete the inte
rview. By evaluating several possible scenarios, we estimated that had
mothers lost to follow-up remained in the study, anxiety rates would
have varied by no more than +/-4 per cent. Relative risks associated w
ith bereaved-control comparisons would have differed little from the o
bserved estimate of 2.33. Estimating the effects of initial nonrespons
e is more difficult but the adoption of a worst-case scenario produced
a relative risk of 3.47. Despite systematic nonparticipation suggesti
ve of social disadvantage, attrition-related bias may have had only a
modest effect on anxiety and depression rate estimates. However this m
ay not be the case when sample loss is high, when associations between
attrition and outcome are strong, and when attrition-related behaviou
r differs across comparison groups.