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Leading causes of death and high mortality rates in an HIV endemic setting (Kisumu county, Kenya, 2019)
BACKGROUND: In resource-limited settings, underlying causes of death (UCOD) often are not ascertained systematically, leading to unreliable mortality statistics. We reviewed medical charts to establish UCOD for decedents at two high volume mortuaries in Kisumu County, Kenya, and compared ascertained...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8775329/ https://www.ncbi.nlm.nih.gov/pubmed/35051186 http://dx.doi.org/10.1371/journal.pone.0261162 |
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author | Waruru, Anthony Onyango, Dickens Nyagah, Lilly Sila, Alex Waruiru, Wanjiru Sava, Solomon Oele, Elizabeth Nyakeriga, Emmanuel Muuo, Sheru W. Kiboye, Jacqueline Musingila, Paul K. van der Sande, Marianne A. B. Massawa, Thaddeus Rogena, Emily A. DeCock, Kevin M. Young, Peter W. |
author_facet | Waruru, Anthony Onyango, Dickens Nyagah, Lilly Sila, Alex Waruiru, Wanjiru Sava, Solomon Oele, Elizabeth Nyakeriga, Emmanuel Muuo, Sheru W. Kiboye, Jacqueline Musingila, Paul K. van der Sande, Marianne A. B. Massawa, Thaddeus Rogena, Emily A. DeCock, Kevin M. Young, Peter W. |
author_sort | Waruru, Anthony |
collection | PubMed |
description | BACKGROUND: In resource-limited settings, underlying causes of death (UCOD) often are not ascertained systematically, leading to unreliable mortality statistics. We reviewed medical charts to establish UCOD for decedents at two high volume mortuaries in Kisumu County, Kenya, and compared ascertained UCOD to those notified to the civil registry. METHODS: Medical experts trained in COD certification examined medical charts and ascertained causes of death for 456 decedents admitted to the mortuaries from April 16 through July 12, 2019. Decedents with unknown HIV status or who had tested HIV-negative >90 days before the date of death were tested for HIV. We calculated annualized all-cause and cause-specific mortality rates grouped according to global burden of disease (GBD) categories and separately for deaths due to HIV/AIDS and expressed estimated deaths per 100,000 population. We compared notified to ascertained UCOD using Cohen’s Kappa (κ) and assessed for the independence of proportions using Pearson’s chi-squared test. FINDINGS: The four leading UCOD were HIV/AIDS (102/442 [23.1%]), hypertensive disease (41/442 [9.3%]), other cardiovascular diseases (23/442 [5.2%]), and cancer (20/442 [4.5%]). The all-cause mortality rate was 1,086/100,000 population. The highest cause-specific mortality was in GBD category II (noncommunicable diseases; 516/100,000), followed by GBD I (communicable, perinatal, maternal, and nutritional; 513/100,000), and III (injuries; 56/100,000). The HIV/AIDS mortality rate was 251/100,000 population. The proportion of deaths due to GBD II causes was higher among females (51.9%) than male decedents (42.1%; p = 0.039). Conversely, more men/boys (8.6%) than women/girls (2.1%) died of GBD III causes (p = 0.002). Most of the records with available recorded and ascertained UCOD (n = 236), 167 (70.8%) had incorrectly recorded UCOD, and agreement between notified and ascertained UCOD was poor (29.2%; κ = 0.26). CONCLUSIONS: Mortality from infectious diseases, especially HIV/AIDS, is high in Kisumu County, but there is a shift toward higher mortality from noncommunicable diseases, possibly reflecting an epidemiologic transition and improving HIV outcomes. The epidemiologic transition suggests the need for increased focus on controlling noncommunicable conditions despite the high communicable disease burden. The weak agreement between notified and ascertained UCOD could lead to substantial inaccuracies in mortality statistics, which wholly depend on death notifications. |
format | Online Article Text |
id | pubmed-8775329 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-87753292022-01-21 Leading causes of death and high mortality rates in an HIV endemic setting (Kisumu county, Kenya, 2019) Waruru, Anthony Onyango, Dickens Nyagah, Lilly Sila, Alex Waruiru, Wanjiru Sava, Solomon Oele, Elizabeth Nyakeriga, Emmanuel Muuo, Sheru W. Kiboye, Jacqueline Musingila, Paul K. van der Sande, Marianne A. B. Massawa, Thaddeus Rogena, Emily A. DeCock, Kevin M. Young, Peter W. PLoS One Research Article BACKGROUND: In resource-limited settings, underlying causes of death (UCOD) often are not ascertained systematically, leading to unreliable mortality statistics. We reviewed medical charts to establish UCOD for decedents at two high volume mortuaries in Kisumu County, Kenya, and compared ascertained UCOD to those notified to the civil registry. METHODS: Medical experts trained in COD certification examined medical charts and ascertained causes of death for 456 decedents admitted to the mortuaries from April 16 through July 12, 2019. Decedents with unknown HIV status or who had tested HIV-negative >90 days before the date of death were tested for HIV. We calculated annualized all-cause and cause-specific mortality rates grouped according to global burden of disease (GBD) categories and separately for deaths due to HIV/AIDS and expressed estimated deaths per 100,000 population. We compared notified to ascertained UCOD using Cohen’s Kappa (κ) and assessed for the independence of proportions using Pearson’s chi-squared test. FINDINGS: The four leading UCOD were HIV/AIDS (102/442 [23.1%]), hypertensive disease (41/442 [9.3%]), other cardiovascular diseases (23/442 [5.2%]), and cancer (20/442 [4.5%]). The all-cause mortality rate was 1,086/100,000 population. The highest cause-specific mortality was in GBD category II (noncommunicable diseases; 516/100,000), followed by GBD I (communicable, perinatal, maternal, and nutritional; 513/100,000), and III (injuries; 56/100,000). The HIV/AIDS mortality rate was 251/100,000 population. The proportion of deaths due to GBD II causes was higher among females (51.9%) than male decedents (42.1%; p = 0.039). Conversely, more men/boys (8.6%) than women/girls (2.1%) died of GBD III causes (p = 0.002). Most of the records with available recorded and ascertained UCOD (n = 236), 167 (70.8%) had incorrectly recorded UCOD, and agreement between notified and ascertained UCOD was poor (29.2%; κ = 0.26). CONCLUSIONS: Mortality from infectious diseases, especially HIV/AIDS, is high in Kisumu County, but there is a shift toward higher mortality from noncommunicable diseases, possibly reflecting an epidemiologic transition and improving HIV outcomes. The epidemiologic transition suggests the need for increased focus on controlling noncommunicable conditions despite the high communicable disease burden. The weak agreement between notified and ascertained UCOD could lead to substantial inaccuracies in mortality statistics, which wholly depend on death notifications. Public Library of Science 2022-01-20 /pmc/articles/PMC8775329/ /pubmed/35051186 http://dx.doi.org/10.1371/journal.pone.0261162 Text en https://creativecommons.org/publicdomain/zero/1.0/This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 (https://creativecommons.org/publicdomain/zero/1.0/) public domain dedication. |
spellingShingle | Research Article Waruru, Anthony Onyango, Dickens Nyagah, Lilly Sila, Alex Waruiru, Wanjiru Sava, Solomon Oele, Elizabeth Nyakeriga, Emmanuel Muuo, Sheru W. Kiboye, Jacqueline Musingila, Paul K. van der Sande, Marianne A. B. Massawa, Thaddeus Rogena, Emily A. DeCock, Kevin M. Young, Peter W. Leading causes of death and high mortality rates in an HIV endemic setting (Kisumu county, Kenya, 2019) |
title | Leading causes of death and high mortality rates in an HIV endemic setting (Kisumu county, Kenya, 2019) |
title_full | Leading causes of death and high mortality rates in an HIV endemic setting (Kisumu county, Kenya, 2019) |
title_fullStr | Leading causes of death and high mortality rates in an HIV endemic setting (Kisumu county, Kenya, 2019) |
title_full_unstemmed | Leading causes of death and high mortality rates in an HIV endemic setting (Kisumu county, Kenya, 2019) |
title_short | Leading causes of death and high mortality rates in an HIV endemic setting (Kisumu county, Kenya, 2019) |
title_sort | leading causes of death and high mortality rates in an hiv endemic setting (kisumu county, kenya, 2019) |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8775329/ https://www.ncbi.nlm.nih.gov/pubmed/35051186 http://dx.doi.org/10.1371/journal.pone.0261162 |
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