dhis2-devs team mailing list archive

[Markus Bekken <markus@xxxxxxxxx>]

Dear Chathura and Pamod, 
Unfortunately, evaluating indicators using what would have been the latest value within every enrollment at a given time is not supported. We could make a program indicator that does the base calculation you want, but it will currently only reflect the disease situation as of the time of aggregation.

Please feel free to write up a JIRA improvement suggestion to support this.

Best regards
Markus

> 10. apr. 2017 kl. 16.17 skrev chathura widanage <chathurawidanage@xxxxxxxxx>:
> 
> Hi Markus,
> 
> Thanks for the response.  Based on the scenario described above, we want to draw a trend chart which is similar to the one in attached png. 
> 
> So basically, given a date, api should consider the latest event(upto given date) of each entity when aggregating.
> 
> Thanks
> 
> On 10 Apr 2017 7:41 p.m., "Pamod Amarakoon" <pamodm@xxxxxxxxx <mailto:pamodm@xxxxxxxxx>> wrote:
> Forgot to add we also need to consider the fact that B gets positive for the disease again in May 2017 where we enroll him again and the total becomes 6 again.
> 
> Thanx.
> 
> On Mon, Apr 10, 2017 at 6:06 PM, Pamod Amarakoon <pamodm@xxxxxxxxx <mailto:pamodm@xxxxxxxxx>> wrote:
> Dear Markus,
> 
> If I elaborate more, suppose there are 6 children A,B,C,D,E and F.
> A, B, and C are enrolled to the program in July 2016 being positive for the disease X (yes/no DE)
> D,E gets enrolled to programme in August 2016 also being positive for X
> F gets enrolled in September 2016 being positive for X.
> 
> All the 6 children are being monthly followed up to assess the existence of the Disease X.
> 
> B gets cured of disease X in January 2017and enrollment gets completed.
> D is lost to follow up from October 2016.
> A, C, E and F are being followed up till  now and all positive for Disease X.
> Although children D has not turned up at clinic we still consider him as positive for Disease X.
> 
> So what I'm interested is to develop a table or trend chart (line chart) for prevalence (old+new) of Disease X in the given community. Should be something like below
> 
> July 2016 - 3
> August 2016 - 5
> September 2016 - 6
> October 2016 - 6
> November 2016 - 6
> December 2016 - 6
> January 2017 - 5
> February 2017 - 5
> March 2017 - 5
> April 2017 - 5
> 
> Is it possible to get this output using a program indicator.
> 
> Thank you.
> 
> On Mon, Apr 10, 2017 at 5:53 PM, Markus Bekken <markus@xxxxxxxxx <mailto:markus@xxxxxxxxx>> wrote:
> Dear Pamod,
> to put it simply - if you use October 2016 as reporting date and display this enrollment program indicator, the pivot will be populated only with the data for the children enrolled in October 2016. The child enrolled in October will not show up un the numbers for November. If you want to make a report of all currently positive children, you would have to define a long enough reporting period to capture all enrollment dates, and filter out anyone not positive.
> 
> As a reminder there is a planned improvement to allow other dates to be the basis of aggregation: DHIS2-1398 <https://jira.dhis2.org/browse/DHIS2-1398>
> 
> Curious to hear how this covers your use case. 
> 
> Markus
> 
>> 10. apr. 2017 kl. 13.37 skrev Pamod Amarakoon <pamodm@xxxxxxxxx <mailto:pamodm@xxxxxxxxx>>:
>> 
>> Dear Marcus,
>> 
>> Want to clarify something. 
>> 
>> Suppose for example Child A has been marked positive for a disease in October 2016 and he has not turned up for further clinic followups. If we configure the program indicator the way you mentioned and select period dimension as last 12 months from pivot table and consider the output, we are interested in obtaining the cross sectional view of number of affected children at a given time.
>> 
>> Will the child A only be calculated for the month of October 2016 or will he be counted on subsequent months as well. (In the output we are expecting to see the prevalence of the disease per month).
>> 
>> Thank you
>> 
>> On Mon, Apr 10, 2017 at 2:47 PM, Markus Bekken <markus@xxxxxxxxx <mailto:markus@xxxxxxxxx>> wrote:
>> Hi there Chathura,
>> 
>> it seems that the query you want to make below can be achieved with enrollment program indicators. Assuming the program is built as a multiple event with registration, and the DE1 is part of a repeating program stage, the inherent properties of enrollment program indicators covers much of what you want. Each child will be counted only once, and only the latest value of D1 will be considered for each child.
>> 
>> Can you for example try making a program indicator with analytics type "Enrollment", aggregation type "Sum" and the expression being the value of DE1? Then you can use pivot or the API to query and see if the results match your expectation.
>> 
>> Markus
>> 
>>> 1. apr. 2017 kl. 10.58 skrev chathura widanage <chathurawidanage@xxxxxxxxx <mailto:chathurawidanage@xxxxxxxxx>>:
>>> 
>>> Hi,
>>> 
>>> We are currently using DHIS2 to track nutrition problems of children under 5 years.
>>> 
>>> Assume we have only two children in the database and DE1 be a certain condition that we monitor continuously,
>>> 
>>> child 1 -> [event 1, DE1=1, time=t1] [event 2 - DE1=1,time=t2] [event 3 - DE1=0,time=t3]
>>> child 2 -> [event 1, DE1=0, time=t1] [event 2 - DE1=0,time=t2] [event 3 - DE1=0,time=t3]
>>> 
>>> Now if I call "events/aggregate/<psi>?dimension=DE1:EQ:1&startDate=T1&endDate=T2&dimension=ou:<ouid>", is there a parameter that we can set in the query to consider only the last value of the data element in the chosen event series.
>>> 
>>> eg :
>>> 
>>> case
>>> T1
>>> T2
>>> Result
>>> Expected result
>>> 1
>>> t1
>>> t1+delta
>>> 1
>>> 1
>>> 2
>>> t1
>>> t2+delta
>>> 2
>>> 1
>>> 3
>>> t1
>>> t3+delta
>>> 2
>>> 0
>>> 4
>>> t2
>>> t3+delta
>>> 1
>>> 0
>>> 
>>> case 1 : child 1 has the condition (because DE1=1), hence result =1
>>> case 2 : child 1 still has the condition, but we want to consider him only once.
>>> case 3 : child 1 has got rid of the condition, so we don't want to consider him for the results
>>> 
>>> Why we need this :  we want to analyze the state of org unit during a specific period of time and draw a trend chart to determine whether measures taken to improve child health has actually worked or not.
>>> 
>>> <image.png> 
>>>  And also we need to compare the identified risk factors graphically, so we know which area should get the highest focus or attention.
>>> 
>>> <image.png>
>>> 
>>> Please let us know whether above results can be achieved using API version 2.26. 
>>> Currently we are using SQL Views (2 SQL views + 1 Query) to generate above results, but that is extremely inefficient and expensive.
>>> 
>>> Thanks
>>> 
>>> 
>>> 
>>> -- 
>>> Best Regards,
>>> 
>>> Chathura Widanage,
>>> Undergraduate,
>>> Department of Computer Science and Engineering,
>>> University of Moratuwa,
>>> Sri Lanka
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>> 
>> 
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>> 
>> 
>> -- 
>> Regards,
>> Dr. Pamod Amarakoon
>> MBBS (SL)
>> MSc (Biomedical Informatics), EMSc (Health Admin)
>> Medical Officer in Health Informatics
>> Nutrition Coordination Division
>> Ministry of Health, Nutrition and Indigenous Medicine,
>> Sri Lanka
>> 
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>> 
>> 
>> 
> 
> 
> 
> 
> -- 
> Regards,
> Dr. Pamod Amarakoon
> MBBS (SL)
> MSc (Biomedical Informatics), EMSc (Health Admin)
> Medical Officer in Health Informatics
> Nutrition Coordination Division
> Ministry of Health, Nutrition and Indigenous Medicine,
> Sri Lanka
> 
> Confidentiality Notice: the information contained in this email and any attachments may be legally privileged and confidential. If you are not an intended recipient, you are hereby notified that any dissemination, distribution, or copying of this e-mail is strictly prohibited. If you have received this e-mail in error, please notify the sender and permanently delete the e-mail and any attachments immediately. You should not retain, copy or use this e-mail or any attachments for any purpose, nor disclose all or any part of the contents to any other person.
> 
> 
> 
> 
> 
> 
> -- 
> Regards,
> Dr. Pamod Amarakoon
> MBBS (SL)
> MSc (Biomedical Informatics), EMSc (Health Admin)
> Medical Officer in Health Informatics
> Nutrition Coordination Division
> Ministry of Health, Nutrition and Indigenous Medicine,
> Sri Lanka
> 
> Confidentiality Notice: the information contained in this email and any attachments may be legally privileged and confidential. If you are not an intended recipient, you are hereby notified that any dissemination, distribution, or copying of this e-mail is strictly prohibited. If you have received this e-mail in error, please notify the sender and permanently delete the e-mail and any attachments immediately. You should not retain, copy or use this e-mail or any attachments for any purpose, nor disclose all or any part of the contents to any other person.
> 
> 
> 
> <blank.png>