Jm. Murphy et al., A comparison of diagnostic interviews for depression in the Stirling County study - Challenges for psychiatric epidemiology, ARCH G PSYC, 57(3), 2000, pp. 230-236
Background: High prevalence rates in psychiatric epidemiologic studies rais
e questions about whether data-gathering procedures identify transient resp
onses rather than clinical disorders. This issue is explored relevant to de
pression using data from the Stirling County Study.
Methods: The study's customary method, the DPAX (DP for depression and AX f
or anxiety) was compared with the Diagnostic Interview Schedule (DIS), both
of which were administered to a sample of 1396 subjects selected in 1992.
Reasons for discordance were analyzed, and demographic correlates of respon
ses to questions about dysphoria were examined. These lay-administered inte
rviews were then compared wi th clinician-administered interviews that used
the Structured Clinical Interview for DSM-III-R (SCID) with 139 subjects.
The kappa statistic and logistic regression were used for statistical asses
sment.
Results: For the level of agreement between the DPAX and the DIS for curren
t and lifetime depression, kappa = 0.40 and kappa = 0.33, respectively. Sub
jects diagnosed only by the DPAX tended to have less education than those d
iagnosed only by the DIS. Some idioms for dysphoria seemed to work better t
han others. Using SCID interviews as a clinical standard, the DPAX had 15%
sensitivity and 96% specificity and the DIS had 25% sensitivity and 98% spe
cificity.
Conclusions: Comprehension of an interview can be improved by using multipl
e questions for dysphoria and a simpler mode of inquiry. Clinician-administ
ered interviews tend to corroborate disorders identified in lay-administere
d interviews but suggest that survey: methods underestimate prevalence. Fur
ther research is needed to evaluate the validity of both types of interview
s, but evidence from a 16-year follow-up evaluation indicates that depressi
on diagnosed by the DPAX is a serious disorder in terms of morbidity and mo
rtality.