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Absolutely. Improved data quality will follow directly from analysis and use. However, we have a chicken and egg situation. Review of many HMIS datasets shows that there are significant issues with incompleteness of data and/or implausible data. This discourages users from analyzing and using the data.
I would suggest that data quality review be conducted simultaneously with analysis and use — including at sub-national levels.
Both processes (DQR and analysis) can be largely automated with a data management system like DHIS2. The impact of both processes depends upon active interpretation of the findings by multiple stakeholders — something that can never be automated.
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The role of mobile data collection and of CSPro during surveys deserves to be discussed further. While providing technical support for a recent DQR survey in Liberia, I found that fine tuning of the CSPro and the devices required many hours of my time – I worried that this sometimes complicated my efforts to focus on other training and quality assurance issues. The Liberia M&E folks suggested that we instead try using Magpi for data collection.
I have used Magpi for a series of Red Cross household surveys and have been impressed at how quickly the questionnaires can be set up and how user friendly the Magpi website is – including a Google map showing the location of each data collection point. Of course nothing beats the complex logic that CSPro is capable of. However, for a fairly simple DQR survey, perhaps something simpler would suffice.
If CSPro is to be used, then further capacity building is required to expand the group of consultants capable of supporting it. Or perhaps closer linkage is required with the National Statistical Offices which often have lots of experience with CSPro.
Bob
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These are important points to keep in mind when attempting to compare routine coverage estimates with survey coverage estimates.
WHO and UNICEF meet once each year to compare, for over 150 countries, the routine estimates of immunization coverage with the survey estimates and information from other sources. Their annual comparison graphs for each country can be downloaded from the following website: http://apps.who.int/immunization_monitoring/globalsummary/wucoveragecountrylist.html
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Thanks for this excellent case study. In a typical month, about how many data validation alerts are flagged? Is it difficult to follow-up on some many alerts?
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