Thomas wrote: 

In a message dated 10-2-2009 18:21:06 W. Europe Standard Time, 
thomas.beale at oceaninformatics.com writes: 
> As far as I can see, the current openEHR data types satisfy your needs 
> (with one exception - see below):
> 
> DvQuantity - handles all PQ, including with no units 
> DvOrdinal - handles all ordinals, with any kind of symbols, including from 
> coding systems I don't understand the need for summations etc for ordinals, 
> because the general nature of ordinal values is that that symbolically 
> identify 
> arbitrary ranges in a value space (e.g. amount of pain, amount of protein in 
> urine etc). Mathematically they don't satisfy the requirements to be 
> summable. Can you explain further the intended semantics here?
> 


William: That is perfect and will help deal with the VAS and numeric and base 
ordinal. 


> The exception is that neither of the above types handles a non-integral 
> 'ordinal' idea. Hence my proposal of DV_SCORE. There are probably better 
> solutions, I have not thought much about it. I do think however, that any 
> solution 
> needs to be mathematically sound, because downstream data computing relies on 
> that.
> 

The mathematical requirement of summation is a clinical necessary feature for 
about a 1000 to 10.000 assessment scales used in a variety of clinical 
domains. 
The generic feature is that an ordinal scale is used as a value for a 
variable, so per node the value can be e.g. 0 = no problem, 1 = some problem 
and 2 = 
severe problem
the semantics is clear and indeed an ordinal scaling. 
However, ususally assessment instruments / scales / indexes of scores consist 
of more than one variable. E.g. Apgar score has 5 variables, with a minimum 
score (worst case) = 0 and a maximum score (best case) = 10.
Similar scales include Barthel, Glasgow coma scale, Braden etc. 


So the summation as mathematical approach is as follows (using the following 
explanation to the scores: 0 = no problem, 1 = some problem and 2 = severe 
problem). 

variable 1, score = 1
variable 2, score = 0
variable 3, score = 2
variable 4 score = 1
variable 5 score = 0
variable 6, score is 0

Total score on the instrument is score variable 1 + score variable 2 + score 
variable 3 + score variable 4 + score variable 5 + score variable 6 =
1 + 0 + 2 + 1 + 0 + 0 = 4.

This is usually viewed agains scientifically derived reference ranges, e.g. 4 
out of 12 (maximum for 6 variables is 

So for appropriate scales / indexes etc the mathematics need to be possible 
on the ordinal values. 


See for a discussion on these features e.g.

White TM, Hauan MJ. Extending the LOINC conceptual schema to support 
standardized assessment instruments. J Am Med Inform Assoc. 2002 
Nov-Dec;9(6):586-99. 

 




> Would you agree with my understanding of the problem as stated here?
> 
> - thomas

Sincerely yours,

dr. William TF Goossen
director 
Results 4 Care b.v.
De Stinse 15
3823 VM Amersfoort
the Netherlands
email: Results4Care at cs.com
phone + 31654614458
fax +3133 2570169
www.results4care.nl
Dutch Chamber of Commerce number: 32133713 
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