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Table 2 Summary of feasibility of quality and timely data collection measures

From: Feasibility of an innovative electronic mobile system to assist health workers to collect accurate, complete and timely data in a malaria control programme in a remote setting in Kenya

 

Measure

Target

Achieved

1.

Timeliness of data aggregation as measured by average time difference between completion of dataset at point of care and its arrival in database barring unforeseen mobile network interruptions or connection problems

>95 % within 1 week

96 % within 1 week

2.

Completeness of individual datasets as measured by average number of data fields containing response (includes Ministry of Health official malaria case report forms, RDT results and image when applicable, user and facility information, and meta information such as date, time. Note: GPS location is excluded due to dependencies on weather patterns and building location)

>96 %

97.4 %

3.

Accuracy of individual records as measured by percentage of data fields containing responses within pre-defined allowable ranges (includes mandatory forms, RDT results and image, patient demographic information, user and facility information, and meta information such as date, time)

>96 %

>99.9 %

4.

Data can be exported in XML, XLS, CSV formats

Yes/No

Yes

5.

Proportion of time information services available through Fionet portal

95 %

>99 %

6.

Proportion of Deki unit support queries responded to within 72 h of initiation

>95 %

100 %

7.

Proportion of Deki unit service requests responded to within 72 h of initiation

>95 %

100 %