dhis2-users team mailing list archive

[Adebusoye Anifalaje <busoye@xxxxxxxx>]

Hi,

Jason is right. I was going to mention that you should be sure that the combining the data elements will not result in double counting. So, not unless pregnant women over 5 years are counted exclusively under the pregnancy data element, you will need to create two different category combinations.

Best

Busoye

  
On 11 Dec 2013, at 04:37, Jason Pickering <jason.p.pickering@xxxxxxxxx> wrote:

> Hi Ilias,
> I would be careful about this one. If "Confirmed cases of malaria in pregnant women" is a subset of "Confirmed cases of malaria /> 5 years / Female", I would not include this as part of a single data element. Here in Zambia, we count "Confirmed cases of malaria /> 5 years / Female" (which might be 50) and then "Confirmed cases of malaria in pregnant women" (which might be 2). However the  2 cases of confirmed malaria in pregnant women are also part of the "Confirmed cases of malaria /> 5 years / Female". Categorical data elements will automatically total all of the component category options when determining a total, so, the total would include include duplicates. It may work differently in your case, i.e. that pregnant women are not a subset of > 5 years /Female. 
> 
> You could just create two categories  as follows...
> 
> 1) Age (<5, > 5 )
> 2) Gender (Malaria ) : Male, Non-pregnant female, Pregnant female
> 
> Note however, you will end up with a <5 years/Pregnant female, category combo option, which will never be used, but which you can "grey-out" so that data is never entered into to it. This of course assumes that you are collecting the data such that "Non-pregnant" and "Pregnant" females are exclusvie. 
> 
> The other option (which we use here) is to have two data elements
> 
> 1) Number of cases of confirmed malaria (Age:<5/>5, Male/Female)
> 2) Number of cases of confirmed malaria in pregnancy (default)
> 
> In this case, the second data element is a subset of "Number of cases of confirmed malaria in pregnancy/>5/Female", so the totals will be correct. 
> 
> So, it really depends a bit on how the data is collected. Just be sure that the totals will not result in double counting. 
> 
> Best regards,
> Jason
> 
> 
> 
> On Tue, Dec 10, 2013 at 10:34 PM, Adebusoye Anifalaje <busoye@xxxxxxxx> wrote:
> Hi Ilias,
> 
> 1) You create two data element categories (I assume you have already created data element category options). For instance
> 
>         a) Age/Pregnancy (< 5 Yrs; > 5 Yrs and Pregnant Women)
>         b) Sex ( Male Female)
> 
> 2) You create a category combination e.g. Malaria Age/Pregnancy + Sex.
> 
>         a)Select Age/Pregnancy Category (this should be on top)
>         b) select Sex Category
> 
> 3) Create data set sections (you can have a look at the manual for this if you are not familiar with it)
>         a) At this stage you Pregnancy Column will also have Male/Female designations
>         b) Use the Section Grey Field Management option to disable the Male column from Pregnancy.
> 
> If you are still unclear about how to go about any of the steps, I will be happy to help clarify.
> 
> Regards,
> 
> Busoye
> 
> 
> 
> 
> On 10 Dec 2013, at 19:55, Ilias Dine <ilias.dine@xxxxxxxxx> wrote:
> 
> > Hi,
> >
> > I'm facing this problem with the definition of categories of a data element. It is the total number of confirmed cases of malaria which is in our system divided into 3 categories :
> >
> > 1. Less than 5 years
> > 2. More than 5 years
> > 3. Pregnant women.
> >
> > The problem is that the categories "less than 5 years" and "more than 5 years" are in turn divided into sub-categories "Male" and "Female", while the category "Pregnant women" does not have this subdivision.
> >
> > Is there a way to handle this situation ?
> >
> > Best Regards,
> > Ilias
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