Validity of the Brief Symptom Inventory-18 (BSI-18) for identifying depression and anxiety in young adult cancer survivors: Comparison with a Structured Clinical Diagnostic Interview.
Validity of the Brief Symptom Inventory-18 (BSI-18) for identifying depression and anxiety in young adult cancer survivors: Comparison with a Structured Clinical Diagnostic Interview.
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DOI:
10.1037/pas0000427
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发表时间:
2017-10
影响因子:
3.6
通讯作者:
Chang G
中科院分区:
文献类型:
--
作者:
Recklitis CJ;Blackmon JE;Chang G
The Brief Symptom Inventory-18 (BSI-18) is widely used to assess psychological symptoms in cancer survivors, but the validity of conventional BSI-18 cut-off scores in this population has been questioned. This study assessed the accuracy of the BSI-18 for identifying significant anxiety and depression in young adult cancer survivors (YACS), by comparing it to a “gold standard” diagnostic interview measure. Two hundred and fifty young adult cancer survivors (YACS), age 18–40 completed the BSI-18 and the Structured Clinical Interview for DSM-IV (SCID) interview assessing anxiety and depressive disorders. BSI-18 results were compared to SCID criteria using ROC analyses. Forty-four participants (17.7%) met criteria for ≥ 1 SCID diagnoses, and an additional 20 (8.0%) met criteria for clinically significant SCID symptoms without a diagnosis. General concordance between the BSI-18 GSI scale and SCID diagnosis was good (AUC = 0.848), but the two most widely used BSI-18 case-rules failed to identify a majority of survivors with SCID diagnoses, and no alternative BSI-18 cut-off scores met study criteria for clinical screening. Analyses aimed at identifying survivors with significant SCID symptoms or a SCID diagnosis had similar results, as did analyses examining depression and anxiety separately. The BSI-18 shows good overall concordance with a psychiatric interview, but recommended cut-off scores fail to identify a majority of YACS with psychiatric diagnosis. Clinicians should not rely on the BSI-18 alone as a screening measure for YACS. Alternative BSI-18 scoring algorithms optimized for detecting psychiatric symptoms in YACS may be an important step to address this limitation.
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