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 <bus...@hisp.org>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.d...@gmail.com> 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 > > _______________________________________________ > > Mailing list: https://launchpad.net/~dhis2-users > > Post to : dhis2-users@lists.launchpad.net > > Unsubscribe : https://launchpad.net/~dhis2-users > > More help : https://help.launchpad.net/ListHelp > > > _______________________________________________ > Mailing list: https://launchpad.net/~dhis2-users > Post to : dhis2-users@lists.launchpad.net > Unsubscribe : https://launchpad.net/~dhis2-users > More help : https://help.launchpad.net/ListHelp >
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