
Efficient Assessment of 20 Questions About Bipolarity: MoodCheck
A spectrum approach to diagnosis.
In the recent series on crowdstudying ourselves, I queried readers about their
The diagnosis questionnaire led to a disturbing conclusion: if you’re trying to assess all the variables relevant to determining “How bipolar is this patient?” as recommended by heads of the NIMH, DSM-5, and STEP-BD, you need to ask 20 separate questions in your initial evaluation. Yikes! Our initial evaluations include many other time-consuming inquiries, as well as attention to building trust and rapport, laying the groundwork for mutually agreed-upon treatment goals and plans. I suggest that a questionnaire approach to the 20 questions can dramatically improve the efficiency of your initial interview.
This questionnaire, dubbed “MoodCheck,” has been in use in our clinic for over 5 years, which demonstrates its feasibility and value. It consists of 3 validated components: the Bipolar Spectrum Diagnostic Scale (BSDS), a family history screener, and elements of the Bipolarity Index.
Parts A and B: The Bipolar Spectrum Diagnostic Scale
The BSDS has multiple validation studies showing that it
Part C: Family history screener
As you can see in the
Two additional questions about prior diagnosis of bipolar disorder and previous suicide attempts complete Part C (because space was available on the page and they provide important information for primary care providers, for whom this instrument was originally designed). Because MoodCheck is a public-sector document, you can alter these questions if you wish (
Part D: Elements of the Bipolarity Index
As described in my last essay, just as family history is well known to be important in a thorough diagnostic assessment, so too are 9 other variables in the course of illness and response to treatment. Recall that the STEP-BD research team gave 80% of the diagnostic weight to these non-manic bipolar markers in their Bipolarity Index. If it makes sense to take a family history, then it makes sense to gather these other data as well. Part D does so efficiently, and you can “score it” with a quick glance. For primary care providers, I’ve shaded the boxes that carry the greatest statistical weight; you can remove the shading once you are familiar with the instrument.
Interpreting MoodCheck results
For primary care providers, I have provided 2 paragraphs on interpreting the results of this questionnaire. Psychiatric providers: you can remove these or replace them with your own guidelines.
For patients with suggestive but strongly positive results, I have directed them to my
In next month’s essay, I’ll summarize and interpret the results from the survey questions on
References:
1. Carvalho AF, Takwoingi Y, Sales PM, et al.
2. Zaratiegui RM, Vázquez GH, Lorenzo LS, et al.
3. Algorta GP, Youngstrom EA, Phelps J, et al.







