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. 2015 Apr 1:8:114.
doi: 10.1186/s13104-015-1058-3.

Completeness and accuracy of data transfer of routine maternal health services data in the greater Accra region

Mary Amoakoh-Coleman  1   2 , Gbenga A Kayode  3 , Charles Brown-Davies  4 , Irene Akua Agyepong  5 , Diederick E Grobbee  6 , Kerstin Klipstein-Grobusch  7   8 , Evelyn K Ansah  9
Affiliations

Completeness and accuracy of data transfer of routine maternal health services data in the greater Accra region

Mary Amoakoh-Coleman et al. BMC Res Notes. .

Abstract

Background: High quality routine health system data is essential for tracking progress towards attainment of the Millennium Development Goals 4 & 5. This study aimed to determine the completeness and accuracy of transfer of routine maternal health service data at health facility, district and regional levels of the Greater Accra Region of Ghana.

Methods: A cross sectional study was conducted using secondary data comprised of routine health information data collected at facility level for the first quarter of 2012. Twelve health facilities were selected using a multistage sampling method. Data relating to antenatal care and delivery were assessed for completeness and accuracy of data transfer. Primary source data from health facility level (registers and record notebooks where health information data are initially entered) , used as the reference data, were counted, collated, and compared with aggregate data on aggregate forms compiled from these sources by health facility staff. The primary source data was also compared with data in the district health information management system (DHIMS-II), a web-based data collation and reporting system. Percentage completeness and percentage error in data transfer were estimated.

Results: Data for all 5,537 antenatal registrants and 3, 466 deliveries recorded into the primary source for the first quarter of 2012 were assessed. Completeness was best for age data, followed by data on parity and hemoglobin at registration. Mean completeness of the facility level aggregate data for the data sampled, was 94.3% (95% CI = 90.6% - 98.0%) and 100.0% respectively for the aggregate form and DHIMS-II database. Mean error in data transfer was 1.0% (95% CI = 0.8% - 1.2%). Percentage error comparing aggregate form data and DHIMS-II data respectively to the primary source data ranged from 0.0% to 4.9% respectively, while percentage error comparing the DHIMS-II data to aggregate form data, was generally very low or 0.0%.

Conclusion: Routine maternal health services data in the Greater Accra region, available at the district level through the DHIMS-II system is complete when compared to facility level primary source data and reliable for use.

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Figures

Figure 1
Figure 1
Data management processes in the Ghana health service of the Greater Accra region of Ghana. A description of data management processes from health facility to the regional level in the Ghana Health Service, Greater Accra region of Ghana.
Figure 2
Figure 2
Mean percentage completeness of primary source data in the Greater Accra region of Ghana, 2012. A graph showing the mean percentage completeness of the primary source data for antenatal service data variables (Age, Parity and Hemoglobin at registration) by the districts sampled, in the Ghana Health Service, Greater Accra region of Ghana.
Figure 3
Figure 3
Percentage error in data transfer of selected antenatal and delivery service variables in the Greater Accra region of Ghana, 2012. A graph showing the percentage error in data transfer for some selected antennal and delivery service variables (total registrants, age, total deliveries and total live births) by the districts sampled in the Ghana Health Service, Greater Accra region of Ghana. ‡Error 1 is a measure of the disparity between the data in the primary sources and that in the aggregate data forms. *Error 2 is a measure of the disparity between the data in the primary source, and that in the web-based DHIMS-II.
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