The 'DAWBA bands' as an ordered-categorical measure of child mental health: description and validation in British and Norwegian samples
The 'DAWBA bands' as an ordered-categorical measure of child mental health: description and validation in British and Norwegian samples
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DOI：
10.1007/s00127-010-0219-x
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发表时间：
2011-06-01
影响因子：
4.4
通讯作者：
Goodman, Robert
中科院分区：
文献类型：
--
作者：
Goodman, Anna;Heiervang, Einar;Goodman, Robert
目的描述和验证“DAWBA带”。这些都是新的有序分类措施的儿童心理健康，发展和幸福感评估（DAWBA）的结构化部分的基础上，我们开发了计算机算法来生成家长，教师，儿童和多信息DAWBA乐队为个人的疾病和疾病组（例如，“任何情绪障碍”）。DAWBA条带的前两个（6个中的）水平用作计算机生成的DAWBA诊断。我们验证了这些DAWBA乐队在7,912英国儿童（7-19岁）和1,364挪威儿童（11-13岁），使用临床医生评定的DAWBA诊断作为金标准。结果在一般情况下，临床医生评定的诊断的患病率单调增加，在所有级别的DAWBA乐队，也表现出剂量反应与服务使用和风险因素。计算机生成的DAWBA诊断的患病率估计值与临床医生生成的诊断的患病率估计值大致相当，但估计值并不总是非常接近。相比之下，估计的效应量，显著性水平和实质性结论的风险因素协会是非常相似或相同的。结论计算机生成的DAWBA带避免了临床评分带来的成本和延迟。因此，在研究与风险因素的关联、产生粗略的患病率估计或实施常规精神健康筛查时，它们有时可能提供一种有用的替代临床医生评估的诊断。
Purpose To describe and validate the 'DAWBA bands'. These are novel ordered-categorical measures of child mental health, based on the structured sections of the Development and Well-Being Assessment (DAWBA).Methods We developed computer algorithms to generate parent, teacher, child and multi-informant DAWBA bands for individual disorders and for groups of disorder (e.g. 'any emotional disorder'). The top two (out of 6) levels of the DAWBA bands were used as computer-generated DAWBA diagnoses. We validated these DAWBA bands in 7,912 British children (7-19 years) and 1,364 Norwegian children (11-13 years), using clinician-rated DAWBA diagnoses as a gold standard.Results In general, the prevalence of clinician-rated diagnosis increased monotonically across all levels of the DAWBA bands, and also showed a dose-response association with service use and risk factors. The prevalence estimates of the computer-generated DAWBA diagnoses were of roughly comparable magnitude to the prevalence estimates from the clinician-generated diagnoses, but the estimates were not always very close. In contrast, the estimated effect sizes, significance levels and substantive conclusions regarding risk factor associations were very similar or identical. The multi-informant and parent DAWBA bands performed especially well in these regards.Conclusion Computer-generated DAWBA bands avoid the cost and delay occasioned by clinical rating. They may, therefore, sometimes provide a useful alternative to clinician-rated diagnoses, when studying associations with risk factors, generating rough prevalence estimates or implementing routine mental health screening.