ArticleBMC health services research2021
Key informant perspectives on the challenges and opportunities for using routine health data for decision-making in Senegal.
Article in BMC health services research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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13 citing papers in PubMed.
- Evaluating a maternal and child health capacity-building program in Senegal: environment-adjusted district efficiency and gap reduction using DHIS2 data.BMC health services research · 2026Article
- Opportunities and lessons from the COVID-19 pandemic: a qualitative study of health program managers' perspectives in Ethiopia.BMC health services research · 2026Article
- Organisational and management factors and related end-users' perspectives relevant to newborn and stillbirth data at different levels of the health system: findings of the IMPULSE study in Uganda, Ethiopia, Tanzania, and the Central African Republic.Journal of global health · 2025Article
- CHIP toolkit: Social mapping and transect walk for childhood infection and pollution - A comparative study across four cities (Jaipur, Jakarta, Antofagasta, and Istanbul).One health (Amsterdam, Netherlands) · 2025Article
- Situational analysis of the quality of maternal, child, and adolescent health data in the health districts of Thiès, Mbour, Kédougou, and Saraya in Senegal.BMC public health · 2025Article
- Role of surveillance data in detecting malaria outbreaks in an epidemic-prone region in Kenya: findings from an investigation of a suspected outbreak in Nandi County.Malaria journal · 2024Article
- Understanding one health challenges in marginalized urban settings: A patient and public involvement (PPI) approach from the CHIP consortium activities across four global cities.One health (Amsterdam, Netherlands) · 2024Article
- How Can Community Data Be Leveraged to Advance Primary Health Care? A Scoping Review of Community-Based Health Information Systems.Global health, science and practice · 2024Article
- A consolidated and geolocated facility list in Senegal from triangulating secondary data.Scientific data · 2024Article
- Defining a malaria diagnostic pathway from innovation to adoption: Stakeholder perspectives on data and evidence gaps.PLOS global public health · 2024Article
- Key Informants in Applied Qualitative Health Research.Qualitative health research · 2023Article
- Behavioral Determinants of Routine Health Information System Data Use in Senegal: A Qualitative Inquiry Based on the Integrated Behavioral Model.Global health, science and practice · 2022Article
- A data quality assessment of the first four years of malaria reporting in the Senegal DHIS2, 2014-2017.BMC health services research · 2022Article
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10 authors.
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Abstract
backgroundIncreasing the performance of routine health information systems (RHIS) is an important policy priority both globally and in Senegal. As RHIS data become increasingly important in driving decision-making in Senegal, it is imperative to understand the factors that determine their use.
methodsSemi-structured interviews were conducted with 18 high- and mid-level key informants active in the malaria, tuberculosis and HIV programmatic areas in Senegal. Key informants were employed in the relevant divisions of the Senegal Ministry of Health or nongovernmental / civil society organizations. We asked respondents questions related to the flow, quality and use of RHIS data in their organizations. A framework approach was used to analyze the qualitative data.
resultsAlthough the respondents worked at the strategic levels of their respective organizations, they consistently indicated that data quality and data use issues began at the operational level of the health system before the data made its way to the central level. We classify the main identified barriers and facilitators to the use of routine data into six categories and attempt to describe their interrelated nature. We find that data quality is a central and direct determinant of RHIS data use. We report that a number of upstream factors in the Senegal context interact to influence the quality of routine data produced. We identify the sociopolitical, financial and system design determinants of RHIS data collection, dissemination and use. We also discuss the organizational and infrastructural factors that influence the use of RHIS data.
conclusionsWe recommend specific prescriptive actions with potential to improve RHIS performance in Senegal, the quality of the data produced and their use. These actions include addressing sociopolitical factors that often interrupt RHIS functioning in Senegal, supporting and motivating staff that maintain RHIS data systems as well as ensuring RHIS data completeness and representativeness. We argue for improved coordination between the various stakeholders in order to streamline RHIS data processes and improve transparency. Finally, we recommend the promotion of a sustained culture of data quality assessment and use.
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