dhis2-users team mailing list archive

["Wilson,Randy" <rwilson@xxxxxxx>]

Hi Lars,

Very useful.  I also might share the other notes I sent to Riddy about how to set up the population data element and coverage indicator aggregation types depending upon the type of indicator.  Please check my logic, of course!  The notes are below:

"The indicators denominators are automatically adjusted according to the time period used in the analysis.  If your analysis is by quarter the population is divided by 4, if it is by month it is divided by 12, etc....

If you look on the indicator definition screen there is an option to annualize the indicator.  If you say 'Yes" that means that the denominator will be divided by the number of periods you are using for the analysis.  For example if you have an indicator like deliveries, you want the denominator annualized because each month you expect 1/12 of the pregnant women to deliver.  If you have a cumulative data element like Family Planning users at the end of the month, then you don't want to annualize, because you expect all women of reproductive age to be using the method every month.

For cumulative data elements (FP users at end of month, patients on ARV, etc...) also make sure to set the aggregation method in the data element definition screen to 'Average', otherwise it will add up the cumulative data in the numerator giving you a big error if you do annual or quarterly analysis.  Normally those indicators are calculated using the data from the most recent month only, but an average is ok if you are looking at a period longer than a month."



From: Lars Helge Øverland [mailto:larshelge@xxxxxxxxx]
Sent: Friday, September 13, 2013 12:02 PM
To: riddy ndoma
Cc: Wilson,Randy; dhis1-users
Subject: Re: [Dhis2-users] How to insert the populations health facility

Thanks Randy for the very useful and informative write-up.

An addition to 5.: It might be useful to set the "expiry days" property on that population data set in order to lock it after a reasonable time. This in order to prevent users from changing the population data after it has been reviewed. We have seen that it becomes tempting for users to reduce their population in order to achieve better indicator coverage scores ;)

Also, to validate that manually entered population data is reasonable, you might create a line chart in data visualizer where you put e.g. all districts as series, last 5 years as categories and the total population data element as a filter (you should see slowly ascending, relatively straight lines).

Lars