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Re: [Dhis2-devs] DHIS version 2.8 released

 

Tom,

If this is the wrong forum for this, please just ignore.

This is the perfect forum for this!

I have the issue, as many must, of different users having different levels of aggregation they could report. For example, one user might have cases by sex, but another user might only have the total number of cases. I could just ask for total cases, but it's nice to have the disaggregation where available. I've come down to two options for dealing with this.

1. Create two variables where users can report the same cases. If users don't have the disaggregation they just leave them blank. While creating some seeming redundancy in the database and some double entry, it does also provide an opportunity for validation.

One data element for the total, and one with disaggregation (or two other data elements, one for each gender)? This would for pratical purposes not be different from the proposal below then, if I'm not mistaken, just more cumbersome.

2. Create one variable with the disaggregating dimensions and have one of the dimensions be "unknown", i.e. "sex unknown". The potential downside of this is one could imagine some lazy users (I've been one) who just fill in unknown rather than bother hunting down the disaggregation.

This is the case for CAREC, covering many countries in the caribbean. Some countries will have data disaggregated by sex and age groups, some will have for only one of the dimensions, and maybe some will not have any disaggregation. In their case, they have the category options "<1, 1-4 ... Unknown Age", and "Male, Female, Unknown Gender". This will be better for analysis as all data will be "within" one data element, for all countries regardless of the disaggregation they are using. The automatic totalling of the three genders will be comparable without having to pick the right data element. As with many things in DHIS2, this solution can be mimicked in different ways, but I think one data element with three genders is perhaps easiest.

Does anyone have experience pro or against either method? Is there another method I didn't think of that's better?

Maybe someone from CAREC can chip in here? They've had the three-gender model for years (although on paper, excel etc)

Johan

Thanks,

Tom

-----Original Message-----
From: dhis2-users-bounces+hiattt=wpro.who.int@xxxxxxxxxxxxxxxxxxx [mailto:dhis2-users-bounces+hiattt=wpro.who.int@xxxxxxxxxxxxxxxxxxx] On Behalf Of Johan Sæbø
Sent: 02 May 2012 17:42
To: dhis2-users@xxxxxxxxxxxxxxxxxxx
Subject: Re: [Dhis2-users] [Dhis2-devs] DHIS version 2.8 released

Hi Tom,

for calculating the overlapping categories, you can define them as
indicators.

For example; Data Element "Population", with catcombo age+sex, would be
used for M/F<1, 1-4, 5-14, 15-25 etc

Then for any combo of these, like<5 or<14, make an indicator with the
expression: "Population<1"+"Population 1-4" + etc. You can add whatever
you want, to construct your indicators<5 Male,<5 Female,<5 Total etc.
Then you have these indicators to use whenever you would like to,
without the need to calculate them each time.

Johan

On 02.05.2012 11:03, Hiatt, Mr Tom (WPRO) wrote:
Thanks, Ola. That's very helpful to know what to consider when
structuring this. I'm using UN population data which up to now they've
made aggregate nicely. I have dropped categories that overlap figuring I
can calculate them later (e.g. children 0-14 years). So I think it
should be okay.

Tom

*From: * olatitle@xxxxxxxxx [mailto:olatitle@xxxxxxxxx] *On Behalf Of
*Ola Hodne Titlestad
*Sent:* 02 May 2012 16:16
*To:* Lars Helge Øverland
*Cc:* Hiatt, Mr Tom (WPRO); dhis2-users@xxxxxxxxxxxxxxxxxxx
*Subject:* Re: [Dhis2-users] [Dhis2-devs] DHIS version 2.8 released

Hi Tom,

If I understand you correctly you have a data element called
"Population" and a categorycombination with Age+Sex linked to this data
element?

If so, you should make sure that the total of the category option
combinations (All ages and sex combinations) add up to the total
population.

The total for the data element is used in many places in DHIS 2 and if
this total is not the correct total population you might confuse the
users and also make indicator and report creation more complicated than
it has to be.

Typically the age groups for population is overlapping and not complete
sets (e.g.<1,<5, female 15-49 (WRA), total), that is why I ask.

If you have a complete set of disaggregated population data then
categories will work fine.

If not, I would use separate data elements for the different population
groups.

Ola

-------

----------------------------------
Ola Hodne Titlestad (Mr)
HISP
Department of Informatics
University of Oslo

Mobile : +47 48069736
Home address: Vetlandsvn. 95B, 0685 Oslo , Norway . Googlemaps link
<http://maps.google.com/maps?f=q&source=s_q&hl=en&geocode=&q=Vetlandsvn.+95B,+0685+Oslo,+Norway>

On 1 May 2012 14:20, Lars Helge Øverland<larshelge@xxxxxxxxx
<mailto:larshelge@xxxxxxxxx>>  wrote:

On Tue, May 1, 2012 at 2:15 PM, Hiatt, Mr Tom (WPRO)
<hiattt@xxxxxxxxxxxx<mailto:hiattt@xxxxxxxxxxxx>>  wrote:

Ah yes, of course. Thanks!

For me, I have individual codes for these data elements (population by
age and sex), but previously I had them stored as individual variables
rather than dimensions of the population variable. This time around I'm
trying to store them in the "right" way as dimensions, which seems more
logical. (I hope I don't get bit down the road for this.) For my use so
far, this is a one-off data import exercise, but I could imagine
scenarios where one would like to import more frequently from a database
that stores them as individual variables as mine did. However, seeing as
how these data would probably come from different systems that use
different coding schemes, perhaps a mapping exercise would be necessary
anyway. I'll let you know if I run into that hurdle.

Tom

Great. Let us know how it goes.


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