Difference between attribute and disaggregate option for category combos

Support - Assistance technique
1

Hi all,

I need to set up a dhis2 instance in which we want to capture the data for specific month twice e.g. preliminary output and validated output. We don’t need those to be added together as usual in a data element category combination.

I have been looking into dataset category combinations but that looks a lot similar in the manual to attributes. Would like clarity on the difference between using disaggregate or attribute when selecting data dimension on a catcombo.

Any suggestions on alternatives would be welcome J

Regards,

Elmarie Claasen

Hisp logo

Project Manager

Health Information Systems Program

Tel: 041-367 1027

Cell: 082 374 2209

E-mail: elmarie@hisp.org

Skype: elmarie.claasen52

This message and any attachments are subject to a disclaimer published at http://www.hisp.org/policies.html#comms_disclaimer . Please read the disclaimer before opening any attachment or taking any other action in terms of this electronic transmission.
If you cannot access the disclaimer, kindly send an email to disclaimer@hisp.org and a copy will be provided to you. By replying to this e-mail or opening any attachment you agree to be bound by the provisions of the disclaimer.

This message and any attachments are subject to a disclaimer published at http://www.hisp.org/policies.html#comms_disclaimer. Please read the disclaimer before opening any attachment or taking any other action in terms of this electronic transmission. If you cannot access the disclaimer, kindly send an email to disclaimer@hisp.org and a copy will be provided to you. By replying to this e-mail or opening any attachment you agree to be bound by the provisions of the disclaimer.

2

Hi Elmarie,

the data dimension type on category and category combo indicates whether you want to use these as disaggregation categories (linked to data elements) or attribute categories (linked to data sets). So attributes refers to data set categories.

If you would like to create a data set category (e.g. one category option for “preliminary” and one for “validated”), then you need to set these to “attribute”. So:

Category combo: “Output type” - data dimension set to “attribute”.

Category: “Output type” - data dimension set to “attribute”.

Category options: “Preliminary output” and “Validated output”.

You can now assign the “Output type” category combo to your data set, and the data entry screen will allow you to choose between preliminary and validated before entering data.

regards,

Lars

image

···

On Tue, Oct 13, 2015 at 1:34 PM, Elmarie Claasen elmarie@hisp.org wrote:

Hi all,

I need to set up a dhis2 instance in which we want to capture the data for specific month twice e.g. preliminary output and validated output. We don’t need those to be added together as usual in a data element category combination.

I have been looking into dataset category combinations but that looks a lot similar in the manual to attributes. Would like clarity on the difference between using disaggregate or attribute when selecting data dimension on a catcombo.

Any suggestions on alternatives would be welcome J

Regards,

Elmarie Claasen

Project Manager

Health Information Systems Program

Tel: 041-367 1027

Cell: 082 374 2209

E-mail: elmarie@hisp.org

Skype: elmarie.claasen52

This message and any attachments are subject to a disclaimer published at http://www.hisp.org/policies.html#comms_disclaimer . Please read the disclaimer before opening any attachment or taking any other action in terms of this electronic transmission.
If you cannot access the disclaimer, kindly send an email to disclaimer@hisp.org and a copy will be provided to you. By replying to this e-mail or opening any attachment you agree to be bound by the provisions of the disclaimer.

This message and any attachments are subject to a disclaimer published at http://www.hisp.org/policies.html#comms_disclaimer. Please read the disclaimer before opening any attachment or taking any other action in terms of this electronic transmission. If you cannot access the disclaimer, kindly send an email to disclaimer@hisp.org and a copy will be provided to you. By replying to this e-mail or opening any attachment you agree to be bound by the provisions of the disclaimer.

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–

Lars Helge Øverland

Lead developer, DHIS 2

University of Oslo

Skype: larshelgeoverland

http://www.dhis2.org

3

Hi Lars,

Thanks that is what I did.

A general question – Isn’t this a way to easily add targets for certain data elements with known denominators eg population by setting up a dataset with e.g. Yearly or Quarterly period and then capture the target values as dataset attributes rather than create a new data element for the target which makes analysis more tricky since you need to link the 2 data elements to each other somehow?

Regards,

Elmarie Claasen

Hisp logo

Project Manager

Health Information Systems Program

Tel: 041-367 1027

Cell: 082 374 2209

E-mail: elmarie@hisp.org

Skype: elmarie.claasen52

This message and any attachments are subject to a disclaimer published at http://www.hisp.org/policies.html#comms_disclaimer . Please read the disclaimer before opening any attachment or taking any other action in terms of this electronic transmission.
If you cannot access the disclaimer, kindly send an email to disclaimer@hisp.org and a copy will be provided to you. By replying to this e-mail or opening any attachment you agree to be bound by the provisions of the disclaimer.

···

From: Lars Helge Øverland [mailto:larshelge@gmail.com]
Sent: 13 October 2015 02:00 PM
To: Elmarie Claasen
Cc: DHIS 2 Developers list; DHIS 2 Users list
Subject: Re: [Dhis2-devs] Difference between attribute and disaggregate option for category combos

Hi Elmarie,

the data dimension type on category and category combo indicates whether you want to use these as disaggregation categories (linked to data elements) or attribute categories (linked to data sets). So attributes refers to data set categories.

If you would like to create a data set category (e.g. one category option for “preliminary” and one for “validated”), then you need to set these to “attribute”. So:

Category combo: “Output type” - data dimension set to “attribute”.

Category: “Output type” - data dimension set to “attribute”.

Category options: “Preliminary output” and “Validated output”.

You can now assign the “Output type” category combo to your data set, and the data entry screen will allow you to choose between preliminary and validated before entering data.

regards,

Lars

On Tue, Oct 13, 2015 at 1:34 PM, Elmarie Claasen elmarie@hisp.org wrote:

Hi all,

I need to set up a dhis2 instance in which we want to capture the data for specific month twice e.g. preliminary output and validated output. We don’t need those to be added together as usual in a data element category combination.

I have been looking into dataset category combinations but that looks a lot similar in the manual to attributes. Would like clarity on the difference between using disaggregate or attribute when selecting data dimension on a catcombo.

Any suggestions on alternatives would be welcome J

Regards,

Elmarie Claasen

Hisp logo

Project Manager

Health Information Systems Program

Tel: 041-367 1027

Cell: 082 374 2209

E-mail: elmarie@hisp.org

Skype: elmarie.claasen52

This message and any attachments are subject to a disclaimer published at http://www.hisp.org/policies.html#comms_disclaimer . Please read the disclaimer before opening any attachment or taking any other action in terms of this electronic transmission.
If you cannot access the disclaimer, kindly send an email to disclaimer@hisp.org and a copy will be provided to you. By replying to this e-mail or opening any attachment you agree to be bound by the provisions of the disclaimer.

This message and any attachments are subject to a disclaimer published at http://www.hisp.org/policies.html#comms_disclaimer. Please read the disclaimer before opening any attachment or taking any other action in terms of this electronic transmission. If you cannot access the disclaimer, kindly send an email to disclaimer@hisp.org and a copy will be provided to you. By replying to this e-mail or opening any attachment you agree to be bound by the provisions of the disclaimer.

Mailing list: https://launchpad.net/~dhis2-devs
Post to : dhis2-devs@lists.launchpad.net
Unsubscribe : https://launchpad.net/~dhis2-devs
More help : https://help.launchpad.net/ListHelp

–

Lars Helge Øverland

Lead developer, DHIS 2

University of Oslo

Skype: larshelgeoverland

http://www.dhis2.org

This message and any attachments are subject to a disclaimer published at http://www.hisp.org/policies.html#comms_disclaimer. Please read the disclaimer before opening any attachment or taking any other action in terms of this electronic transmission. If you cannot access the disclaimer, kindly send an email to disclaimer@hisp.org and a copy will be provided to you. By replying to this e-mail or opening any attachment you agree to be bound by the provisions of the disclaimer.

4

Hi Lars,

Thanks that is what I did.

A general question – Isn’t this a way to easily add targets for certain
data elements with known denominators eg population by setting up a dataset
with e.g. Yearly or Quarterly period and then capture the target values as
dataset attributes rather than create a new data element for the target
which makes analysis more tricky since you need to link the 2 data elements
to each other somehow?

Hi Elmarie,

yes that would be a feasible approach.

The downside is that if you now load this data element in pivot
tables/charts, by default you will get the real value + the target. So for
people who are not aware of this target dimension/category, they might see
values twice as high as that they would expect.

So it works given that this is handled through user training or other ways.

Lars

image

···

On Wed, Oct 14, 2015 at 5:42 PM, Elmarie Claasen <elmarie@hisp.org> wrote:

Regards,

*Elmarie Claasen*

[image: Hisp logo]

Project Manager

Health Information Systems Program

Tel: 041-367 1027

Cell: 082 374 2209

E-mail: elmarie@hisp.org

Skype: elmarie.claasen52

This message and any attachments are subject to a disclaimer published at http://www.hisp.org/policies.html#comms_disclaimer
. Please read the disclaimer before opening any attachment or taking any
other action in terms of this electronic transmission.
If you cannot access the disclaimer, kindly send an email to disclaimer@hisp.org
and a copy will be provided to you. By replying to this e-mail or opening
any attachment you agree to be bound by the provisions of the disclaimer.

*From:* Lars Helge Øverland [mailto:larshelge@gmail.com]
*Sent:* 13 October 2015 02:00 PM
*To:* Elmarie Claasen
*Cc:* DHIS 2 Developers list; DHIS 2 Users list
*Subject:* Re: [Dhis2-devs] Difference between attribute and disaggregate
option for category combos

Hi Elmarie,

the data dimension type on category and category combo indicates whether
you want to use these as disaggregation categories (linked to data
elements) or attribute categories (linked to data sets). So attributes
refers to data set categories.

If you would like to create a data set category (e.g. one category option
for "preliminary" and one for "validated"), then you need to set these to
"attribute". So:

Category combo: "Output type" - data dimension set to "attribute".

Category: "Output type" - data dimension set to "attribute".

Category options: "Preliminary output" and "Validated output".

You can now assign the "Output type" category combo to your data set, and
the data entry screen will allow you to choose between preliminary and
validated before entering data.

regards,

Lars

On Tue, Oct 13, 2015 at 1:34 PM, Elmarie Claasen <elmarie@hisp.org> wrote:

Hi all,

I need to set up a dhis2 instance in which we want to capture the data for
specific month twice e.g. preliminary output and validated output. We don’t
need those to be added together as usual in a data element category
combination.

I have been looking into dataset category combinations but that looks a
lot similar in the manual to attributes. Would like clarity on the
difference between using disaggregate or attribute when selecting data
dimension on a catcombo.

Any suggestions on alternatives would be welcome J

Regards,

*Elmarie Claasen*

[image: Hisp logo]

Project Manager

Health Information Systems Program

Tel: 041-367 1027

Cell: 082 374 2209

E-mail: elmarie@hisp.org

Skype: elmarie.claasen52

This message and any attachments are subject to a disclaimer published at http://www.hisp.org/policies.html#comms_disclaimer
. Please read the disclaimer before opening any attachment or taking any
other action in terms of this electronic transmission.
If you cannot access the disclaimer, kindly send an email to disclaimer@hisp.org
and a copy will be provided to you. By replying to this e-mail or opening
any attachment you agree to be bound by the provisions of the disclaimer.

*This message and any attachments are subject to a disclaimer published at
http://www.hisp.org/policies.html#comms_disclaimer
<http://www.hisp.org/policies.html#comms_disclaimer&gt;\. Please read the
disclaimer before opening any attachment or taking any other action in
terms of this electronic transmission. If you cannot access the
disclaimer, kindly send an email to disclaimer@hisp.org
<disclaimer@hisp.org> and a copy will be provided to you. By replying to
this e-mail or opening any attachment you agree to be bound by the
provisions of the disclaimer.*

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--

Lars Helge Øverland

Lead developer, DHIS 2

University of Oslo

Skype: larshelgeoverland

http://www.dhis2.org <https://www.dhis2.org>

*This message and any attachments are subject to a disclaimer published at
http://www.hisp.org/policies.html#comms_disclaimer
<http://www.hisp.org/policies.html#comms_disclaimer&gt;\. Please read the
disclaimer before opening any attachment or taking any other action in
terms of this electronic transmission. If you cannot access the
disclaimer, kindly send an email to disclaimer@hisp.org
<disclaimer@hisp.org> and a copy will be provided to you. By replying to
this e-mail or opening any attachment you agree to be bound by the
provisions of the disclaimer.*

--
Lars Helge Øverland
Lead developer, DHIS 2
University of Oslo
Skype: larshelgeoverland
http://www.dhis2.org <https://www.dhis2.org>