ArticleBMC research notes2015
Completeness and accuracy of data transfer of routine maternal health services data in the greater Accra region.
Article in BMC research notes, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
36 citing papers in PubMed.
- Trial
- Spatiotemporal Trend and Hotspot Analysis of Stillbirth Prevalence in Ghana.Health science reports · 2026Article
- Digital health system integration in Ghana: a scoping review of governance arrangements, interoperability aspirations, and regulatory gaps.BMC health services research · 2026Article
- Evaluating the Effectiveness of Health Information Management Systems in Facilitating Quality Healthcare Service: A Cross-Sectional Study.Health science reports · 2026Article
- Adolescent pregnancy estimates, spatial distribution, and policy implications in the Volta Region, Ghana, 2019-2023.Scientific reports · 2026Article
- Article
- Spatio-temporal patterns of health service delivery and access to maternal, child, and outpatient healthcare in Volta region, Ghana: a repeated cross-sectional ecological study using health facility data.Global health action · 2025Article
- Measuring the impact of the network for improving quality of care for maternal, newborn, and child health: methods, findings, and lessons learned.Journal of global health · 2025Article
- Incidence of low birth weight among newborns delivered in health facilities in the Volta Region, 2019-2023.BMC pregnancy and childbirth · 2025Article
- Article
- Can routinely collected primary healthcare data be used to assess Aboriginal children's health and wellbeing longitudinally? A retrospective analysis of electronic medical records from an Aboriginal community-controlled health service in Central Australia.International journal of population data science · 2025Article
- Assessing the quality of data for selected reproductive health indicators in designated public health facilities in Bangladesh.Journal of global health · 2024Article
- Towards improving district health information system data consistency, report completeness and timeliness in Neno district, Malawi.BMC medical informatics and decision making · 2024Article
- Assessment of expanded programme on immunization routine data quality in the upper east region of Ghana.BMC health services research · 2024Article
- Review
- Malaria in pregnancy control and pregnancy outcomes: a decade's overview using Ghana's DHIMS II data.Malaria journal · 2022Review
- The effect of the capitation policy withdrawal on maternal health service provision in Ashanti Region, Ghana: an interrupted time series analysis.Global health research and policy · 2022Article
- Preponderance of vaccine-preventable diseases hotspots in northern Ghana: a spatial and space-time clustering analysis from 2010 to 2014.BMC public health · 2022Article
- Maternal and child health data quality in health care facilities at the Cape Coast Metropolis, Ghana.BMC health services research · 2022Review
- Direct financial assistance for improved maternal and child health data: a pilot study supporting the health management information system in Malawi.BMC health services research · 2022Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
backgroundHigh 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.
methodsA 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.
resultsData 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%.
conclusionRoutine 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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