Data quality, cancer burden, and disparities in oncology care reported in Kinshasa, Democratic Republic of Congo: a retrospective longitudinal descriptive observational study of data from the National Health Information System from 2017 to 2025.
DOI:
https://doi.org/10.51168/sjhrafrica.v7i2.2616Keywords:
Data accuracy, Neoplasms, Health services accessibility, Retrospective studies, Kinshasa; DRCAbstract
Introduction
The availability of high-quality data is an essential condition for quantifying the burden of disease, supporting healthcare decision-making, and rigorously assessing equitable access to oncology care.
Objective: This study aims to analyze data completeness, temporal trends in cancer, and disparities in oncological care reported in Kinshasa.
Methods
A retrospective longitudinal descriptive observational study was conducted. The Kinshasa National Health Information System from 2017 to 2025 served as the data source. Cancer types, chemotherapy, morphine use, and mortality were examined. Data completeness was determined using these indicators as well as by health zone classification. Temporal trends were assessed using Spearman's rank correlation coefficient (α=0.05).
Results
Data completeness was high for cancers (>70–90%), low for chemotherapy (<50%), and poor for morphine (≤40%), with marked geographical disparities. The number of reported cancer cases increased from 2017 to 2019 (4,633 vs. 7,926) with a drop in 2021 (3,861 cases), then recovered to reach its highest level in 2024 (11,514 cases). Unspecified cancers accounted for more than 75% of cases. Chemotherapy use decreased in 2020 and 2023, but reporting of morphine access increased after 2021 (from 29 to 107 patients in 2025). The case fatality rate peaked in 2021 (4.30%) and decreased between 2024 and 2025 (≈1.5–1.9%). The trends in the analysis were heterogeneous across areas.
Conclusion
The results highlight deficiencies in the quality of health data reporting and disparities in access to the continuum of cancer care in Kinshasa. This underscores the need for improved data archiving services and the classification of different cancer types.
Recommendation
Thus, it is necessary to consolidate the health information system by harmonizing and standardizing cancer coding, systematically digitizing data, optimizing health archiving devices, and implementing measures to reduce inequalities in access to oncological care.
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Copyright (c) 2026 Pascal Atuba Mamenepi, Héritier Kalubi Belanga , Jacques Lofandjola Masumbuku, Félicien Ilunga Ilunga, Félicien Tshimungu Kandolo

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