Assessing the impact of a facility-based digital intervention on district-level data quality in rural Burkina Faso
Bibliographic Data
INTRODUCTION: Digital clinical decision support tools are increasingly used in primary-level health facilities to improve maternal and child healthcare. These tools guide health workers to input patient records digitally, providing a critical opportunity to strengthen routine health information systems with real-time data and improve quality of care. However, often, these service-level data are not always effectively integrated into existing data systems, reducing their downstream impact on data quality and data-driven decision-making. Our study evaluated the impact of a digital job aid tool (Registre Electronique de Consultations-Maternite, REC-Maternity tool), used by healthcare workers in rural primary healthcare facilities in Burkina Faso, on routine data quality at the district level. METHODS: First, we conducted an analysis comparing REC-Maternity data (n=79 895 visits) with District Health Information System 2 (DHIS2) data from 34 facilities to assess agreement in service delivery records. Next, in a quasi-experimental study design, we used DHIS2 data in Toma intervention and Gourcy comparison districts to conduct a difference-in-difference analysis with 13 months preintervention and postintervention time horizon. We assessed the impact of the intervention on three DHIS2 data quality outcomes: completeness, timeliness and internal consistency. RESULTS: The validation analysis revealed limited data agreement between REC-Maternity and DHIS2, particularly for postnatal care (ratio: 1.56) and family planning (ratio: 3.05). These discrepancies suggest parallel data flows from paper-based and electronic forms, indicating limited integration of the digital tool into routine reporting. The results also suggested the potential for digital records to help distinguish true zero-reporting from missing values in DHIS2. The difference-in-difference analysis indicated a significant decrease in timely reporting in the intervention district compared with the comparison district (-66.5% of facilities (95% CI -73.0% to -60.1%)). DISCUSSION: While digital tools offer a potential data revolution in resource-limited settings, they should not be presumed to be more efficient and replace paper-based data collection without continuous monitoring and quality improvement strategies
Data collection · Data quality · Digital health · Public health · Quality management · Rural area · Global Maternal and Child Health · ICT in Developing Communities · Mobile Health and mHealth Applications
Designing Difference in Difference Studies
Can available interventions end preventable deaths in mothers, newborn babies, and stillbirths, and at what cost?
Assessing immunization data quality from routine reports in Mozambique
Large-scale implementation of electronic Integrated Management of Childhood Illness (eIMCI) at the primary care level in Burkina Faso
Using routine health information systems for well-designed health evaluations in low- and middle-income countries
PRISM framework
Need for Standardized Measure of Modern Method Availability
| Citation velocity | historical |
|---|---|
| Highly cited | No |