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Open Access 01-12-2022 | Research

All-cause and cause-specific mortality rates for Kisumu County: a comparison with Kenya, low-and middle-income countries

Authors: Wanjiru Waruiru, Violet Oramisi, Alex Sila, Dickens Onyango, Anthony Waruru, Mary N. Mwangome, Peter W. Young, Sheru Muuo, Lilly M. Nyagah, John Ollongo, Catherine Ngugi, George W. Rutherford

Published in: BMC Public Health | Issue 1/2022

Abstract

Background

Understanding the magnitude and causes of mortality at national and sub-national levels for countries is critical in facilitating evidence-based prioritization of public health response. We provide comparable cause of death data from Kisumu County, a high HIV and malaria-endemic county in Kenya, and compared them with Kenya and low-and-middle income countries (LMICs).

Methods

We analyzed data from a mortuary-based study at two of the largest hospital mortuaries in Kisumu. Mortality data through 2019 for Kenya and all LMICs were downloaded from the Global Health Data Exchange. We provided age-standardized rates for comparisons of all-cause and cause-specific mortality rates, and distribution of deaths by demographics and Global Burden of Disease (GBD) classifications.

Results

The all-cause age-standardized mortality rate (SMR) was significantly higher in Kisumu compared to Kenya and LMICs (1118 vs. 659 vs. 547 per 100,000 population, respectively). Among women, the all-cause SMR in Kisumu was almost twice that of Kenya and double the LMICs rate (1150 vs. 606 vs. 518 per 100,000 population respectively). Among men, the all-cause SMR in Kisumu was approximately one and a half times higher than in Kenya and nearly double that of LMICs (1089 vs. 713 vs. 574 per 100,000 population). In Kisumu and LMICs non-communicable diseases accounted for most (48.0 and 58.1% respectively) deaths, while in Kenya infectious diseases accounted for the majority (49.9%) of deaths. From age 10, mortality rates increased with age across all geographies. The age-specific mortality rate among those under 1 in Kisumu was nearly twice that of Kenya and LMICs (6058 vs. 3157 and 3485 per 100,000 population, respectively). Mortality from injuries among men was at least one and half times that of women in all geographies.

Conclusion

There is a notable difference in the patterns of mortality rates across the three geographical areas. The double burden of mortality from GBD Group I and Group II diseases with high infant mortality in Kisumu can guide prioritization of public health interventions in the county. This study demonstrates the importance of establishing reliable vital registry systems at sub-national levels as the mortality dynamics and trends are not homogeneous.

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Title: All-cause and cause-specific mortality rates for Kisumu County: a comparison with Kenya, low-and middle-income countries
Authors: Wanjiru Waruiru
Violet Oramisi
Alex Sila
Dickens Onyango
Anthony Waruru
Mary N. Mwangome
Peter W. Young
Sheru Muuo
Lilly M. Nyagah
John Ollongo
Catherine Ngugi
George W. Rutherford
Publication date: 01-12-2022
Publisher: BioMed Central
Published in: BMC Public Health / Issue 1/2022
Electronic ISSN: 1471-2458
DOI: https://doi.org/10.1186/s12889-022-14141-5

Keynote webinar | Spotlight on medication adherence

Springer Medicine

All-cause and cause-specific mortality rates for Kisumu County: a comparison with Kenya, low-and middle-income countries

Abstract

Background

Methods

Results

Conclusion

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Abstract

Background

Methods

Results

Conclusion

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