Integrating hypertension data into routine health data collection: the experience of CARDIO4Cities and DHIS2 in Dakar, Senegal

Abstract Functional Health Information Systems are critical to provide decision-makers with reliable and quality data for real-time adaptation of the health system. The District Health Information System (DHIS) 2, the world’s largest Health Information Management System (HMIS), facilitates routine health data collection and reporting in many countries globally through its flexible digital platform. In a majority of low and middle income countries (LMICs), there is usually a good availability of indicators on communicable diseases, and maternal and child health. However, although LMICs now face a rapid epidemiological transition with the growing burden of cardiovascular diseases, their HMIS have generally not been adapted to systematically integrate quality data on non-communicable diseases (NCDs) which is essential to quality of care and to assess health systems performance along the chronic disease continuum of care. Here we describe the steps that Senegal took to develop and implement a systematic data collection system for hypertension data using DHIS2. We draw important lessons on opportunities and challenges for integration of NCD data into HMIS and discuss future perspectives for the continued improvement and sustainability of cardiovascular population health data management.

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Publication Details

Journal
Discover Health Systems
Published
2025-05-24
DOI
https://doi.org/10.1007/s44250-025-00240-8
Citations
1
Primary Topic
Blood Pressure and Hypertension Studies
Type
article
Field-Weighted Citation Impact
1.39

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article

Integrating hypertension data into routine health data collection: the experience of CARDIO4Cities and DHIS2 in Dakar, Senegal

Sarah Des Rosiers, Sarah Rajkumar, Sujata Bijou, Karim Seck et al.
1 citations
Discover Health Systems
Blood Pressure and Hypertension Studies
1.39
article

Integrating hypertension data into routine health data collection: the experience of CARDIO4Cities and DHIS2 in Dakar, Senegal

Sarah Des Rosiers, Sarah Rajkumar, Sujata Bijou, Karim Seck, Melanie Joiner, Florence Sécula, Joseph Barboza, Mamadou Souleymane Sy
article en
1 citations

Abstract

Abstract Functional Health Information Systems are critical to provide decision-makers with reliable and quality data for real-time adaptation of the health system. The District Health Information System (DHIS) 2, the world’s largest Health Information Management System (HMIS), facilitates routine health data collection and reporting in many countries globally through its flexible digital platform. In a majority of low and middle income countries (LMICs), there is usually a good availability of indicators on communicable diseases, and maternal and child health. However, although LMICs now face a rapid epidemiological transition with the growing burden of cardiovascular diseases, their HMIS have generally not been adapted to systematically integrate quality data on non-communicable diseases (NCDs) which is essential to quality of care and to assess health systems performance along the chronic disease continuum of care. Here we describe the steps that Senegal took to develop and implement a systematic data collection system for hypertension data using DHIS2. We draw important lessons on opportunities and challenges for integration of NCD data into HMIS and discuss future perspectives for the continued improvement and sustainability of cardiovascular population health data management.

Discover Health SystemsVol. 4(1)
IntraHealth International (US), Swiss Tropical and Public Health Institute (CH), University of Basel (CH), Centre Hospitalier National Universitaire de Fann (SN), Novartis Foundation (CH)
Universität Basel
Openalex Percentile: Top 19%
Blood Pressure and Hypertension Studies
1.39
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Integrating hypertension data into routine health data collection: the experience of CARDIO4Cities and DHIS2 in Dakar, Senegal — Sarah Des Rosiers, Sarah Rajkumar, et al. · Discover Health Systems (2025) | TGRS Research Map | TGRS