BMC Medicine· 2026Q1
Prevalence and determinants of death registration across three demographic surveillance sites in Kenya
- 1citations
- Q1SCImago
- 2026year
Short summary
Death registration in Kenya is critically low, with only 18.5% of deaths registered across three surveillance sites, and registration is significantly lower for infants, young children, unmarried, and unemployed individuals.
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Key points
- Only 18.5% of 1,387 deaths were registered across three Kenyan HDSS sites.
- Infant (AOR 0.09) and under-five (AOR 0.14) deaths were significantly less likely to be registered.
- Unmarried (AOR 0.38), unemployed (AOR 0.60), and home deaths (AOR 0.65) showed lower registration rates.
- Higher wealth (AOR 2.50) and urban settings (AOR 1.55) were associated with increased registration.
- Lack of awareness, cost, and perceived lack of benefits were key reasons for non-registration.
AI-generated from the title and abstract; the full text is not read.
Abstract
Abstract Background Death registration remains markedly incomplete in many low- and middle-income settings despite its importance in generating population statistics for health systems planning and monitoring of sustainable development goals. We assessed the completeness of death registration and its determinants across three Health and Demographic Surveillance System (HDSS) sites in Kenya. Methods We conducted household surveys at three HDSS sites: Nairobi, Kisumu, and Kilifi, where 1,363 households with a recent death in 2022 or 2023 were sampled. We quantified death registration completeness, evaluated determinants of death registration using random-effects regression analysis, and characterised reasons for registration and non-registration. Results Among 1,387 deaths, only 257 (18.5%) were reported by respondents as registered, with similarly low completeness in both rural and urban settings. Registration was lowest for deaths among infants (Adjusted Odds Ratio (AOR) 0.09; 95% CI 0.03–0.26; p < 0.001) and children 1–4 years (AOR 0.14; 95% CI 0.04–0.48; p = 0.002) compared with adults 65–84 years. It was lower among the deceased who were unmarried (AOR 0.38; 95% CI 0.17–0.84; p = 0.016), unemployed (AOR 0.60; 95% CI 0.40–0.89; p = 0.011), and those who died at home (AOR 0.65; 95% CI 0.47–0.90; p = 0.010). Deaths in urban settings were more likely to be registered (AOR 1.55; 95% CI 1.07–2.24; p = 0.020). There were higher odds of registration in households with greater wealth (AOR 2.50; 95% CI 1.52–4.11; p < 0.001), and among deceased who were employed or retired (AOR 1.87; 95% CI 1.27–2.74; p = 0.001). Recent deaths (0–6 months) were least likely to be registered (AOR 0.26; 95% CI 0.14–0.48; p = < 0.001). The most cited reason for registration was inheritance-related requirements. Lack of awareness, high costs and perceived lack of benefits were the leading reasons for non-registration. Conclusions Death registration in Kenya is low and delayed, with disadvantaged populations disproportionately excluded. Strengthening awareness and advocacy for timely registration, particularly of infant and under-five deaths, alongside targeted efforts to reach the poor and unemployed, is essential to promote social inclusion and advance health equity.
The authors' abstract, as published at the source. BMC Medicine, 2026 · DOI ↗
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Field: Demography
DemographySocial Sciences