Burden of disease in adults admitted to hospital in a rural region of coastal Kenya: an analysis of data from linked clinical and demographic surveillance systems

Background: Estimates of the burden of disease in adults in sub-Saharan Africa largely rely on models of sparse data. We aimed to measure the burden of disease in adults living in a rural area of coastal Kenya with use of linked clinical and demographic surveillance data. Methods: We used data from...

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Main Authors: Dr. Anthony O Etyang, MMed, Kenneth Munge, MPH, Erick W Bunyasi, MBChB, Lena Matata, MSc, Carolyne Ndila, MSc, Sailoki Kapesa, DCM, Maureen Owiti, MMed, Iqbal Khandwalla, MMed, Andrew J Brent, PhD, Benjamin Tsofa, MSc, Pamela Kabibu, DN, Susan Morpeth, FRACP, Evasius Bauni, PhD, Mark Otiende, BSc, John Ojal, MSc, Philip Ayieko, PhD, Maria D Knoll, PhD, Prof. Liam Smeeth, FRCGP, Prof. Thomas N Williams, MRCP, Ulla K Griffiths, PhD, Prof. J Anthony G Scott, FRCP
Format: Article
Language:English
Published: Elsevier 2014-04-01
Series:The Lancet Global Health
Online Access:http://www.sciencedirect.com/science/article/pii/S2214109X14700233
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author Dr. Anthony O Etyang, MMed
Kenneth Munge, MPH
Erick W Bunyasi, MBChB
Lena Matata, MSc
Carolyne Ndila, MSc
Sailoki Kapesa, DCM
Maureen Owiti, MMed
Iqbal Khandwalla, MMed
Andrew J Brent, PhD
Benjamin Tsofa, MSc
Pamela Kabibu, DN
Susan Morpeth, FRACP
Evasius Bauni, PhD
Mark Otiende, BSc
John Ojal, MSc
Philip Ayieko, PhD
Maria D Knoll, PhD
Prof. Liam Smeeth, FRCGP
Prof. Thomas N Williams, MRCP
Ulla K Griffiths, PhD
Prof. J Anthony G Scott, FRCP
spellingShingle Dr. Anthony O Etyang, MMed
Kenneth Munge, MPH
Erick W Bunyasi, MBChB
Lena Matata, MSc
Carolyne Ndila, MSc
Sailoki Kapesa, DCM
Maureen Owiti, MMed
Iqbal Khandwalla, MMed
Andrew J Brent, PhD
Benjamin Tsofa, MSc
Pamela Kabibu, DN
Susan Morpeth, FRACP
Evasius Bauni, PhD
Mark Otiende, BSc
John Ojal, MSc
Philip Ayieko, PhD
Maria D Knoll, PhD
Prof. Liam Smeeth, FRCGP
Prof. Thomas N Williams, MRCP
Ulla K Griffiths, PhD
Prof. J Anthony G Scott, FRCP
Burden of disease in adults admitted to hospital in a rural region of coastal Kenya: an analysis of data from linked clinical and demographic surveillance systems
The Lancet Global Health
author_facet Dr. Anthony O Etyang, MMed
Kenneth Munge, MPH
Erick W Bunyasi, MBChB
Lena Matata, MSc
Carolyne Ndila, MSc
Sailoki Kapesa, DCM
Maureen Owiti, MMed
Iqbal Khandwalla, MMed
Andrew J Brent, PhD
Benjamin Tsofa, MSc
Pamela Kabibu, DN
Susan Morpeth, FRACP
Evasius Bauni, PhD
Mark Otiende, BSc
John Ojal, MSc
Philip Ayieko, PhD
Maria D Knoll, PhD
Prof. Liam Smeeth, FRCGP
Prof. Thomas N Williams, MRCP
Ulla K Griffiths, PhD
Prof. J Anthony G Scott, FRCP
author_sort Dr. Anthony O Etyang, MMed
title Burden of disease in adults admitted to hospital in a rural region of coastal Kenya: an analysis of data from linked clinical and demographic surveillance systems
title_short Burden of disease in adults admitted to hospital in a rural region of coastal Kenya: an analysis of data from linked clinical and demographic surveillance systems
title_full Burden of disease in adults admitted to hospital in a rural region of coastal Kenya: an analysis of data from linked clinical and demographic surveillance systems
title_fullStr Burden of disease in adults admitted to hospital in a rural region of coastal Kenya: an analysis of data from linked clinical and demographic surveillance systems
title_full_unstemmed Burden of disease in adults admitted to hospital in a rural region of coastal Kenya: an analysis of data from linked clinical and demographic surveillance systems
title_sort burden of disease in adults admitted to hospital in a rural region of coastal kenya: an analysis of data from linked clinical and demographic surveillance systems
publisher Elsevier
series The Lancet Global Health
issn 2214-109X
publishDate 2014-04-01
description Background: Estimates of the burden of disease in adults in sub-Saharan Africa largely rely on models of sparse data. We aimed to measure the burden of disease in adults living in a rural area of coastal Kenya with use of linked clinical and demographic surveillance data. Methods: We used data from 18 712 adults admitted to Kilifi District Hospital (Kilifi, Kenya) between Jan 1, 2007, and Dec 31, 2012, linked to 790 635 person-years of observation within the Kilifi Health and Demographic Surveillance System, to establish the rates and major causes of admission to hospital. These data were also used to model disease-specific disability-adjusted life-years lost in the population. We used geographical mapping software to calculate admission rates stratified by distance from the hospital. Findings: The main causes of admission to hospital in women living within 5 km of the hospital were infectious and parasitic diseases (303 per 100 000 person-years of observation), pregnancy-related disorders (239 per 100 000 person-years of observation), and circulatory illnesses (105 per 100 000 person-years of observation). Leading causes of hospital admission in men living within 5 km of the hospital were infectious and parasitic diseases (169 per 100 000 person-years of observation), injuries (135 per 100 000 person-years of observation), and digestive system disorders (112 per 100 000 person-years of observation). HIV-related diseases were the leading cause of disability-adjusted life-years lost (2050 per 100 000 person-years of observation), followed by non-communicable diseases (741 per 100 000 person-years of observation). For every 5 km increase in distance from the hospital, all-cause admission rates decreased by 11% (95% CI 7–14) in men and 20% (17–23) in women. The magnitude of this decline was highest for endocrine disorders in women (35%; 95% CI 22–46) and neoplasms in men (30%; 9–45). Interpretation: Adults in rural Kenya face a combined burden of infectious diseases, pregnancy-related disorders, cardiovascular illnesses, and injuries. Disease burden estimates based on hospital data are affected by distance from the hospital, and the amount of underestimation of disease burden differs by both disease and sex. Funding: The Wellcome Trust, GAVI Alliance.
url http://www.sciencedirect.com/science/article/pii/S2214109X14700233
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spelling doaj-5f84df91c74c4398bef2e1c02b4951082020-11-25T02:16:16ZengElsevierThe Lancet Global Health2214-109X2014-04-0124e216e22410.1016/S2214-109X(14)70023-3Burden of disease in adults admitted to hospital in a rural region of coastal Kenya: an analysis of data from linked clinical and demographic surveillance systemsDr. Anthony O Etyang, MMed0Kenneth Munge, MPH1Erick W Bunyasi, MBChB2Lena Matata, MSc3Carolyne Ndila, MSc4Sailoki Kapesa, DCM5Maureen Owiti, MMed6Iqbal Khandwalla, MMed7Andrew J Brent, PhD8Benjamin Tsofa, MSc9Pamela Kabibu, DN10Susan Morpeth, FRACP11Evasius Bauni, PhD12Mark Otiende, BSc13John Ojal, MSc14Philip Ayieko, PhD15Maria D Knoll, PhD16Prof. Liam Smeeth, FRCGP17Prof. Thomas N Williams, MRCP18Ulla K Griffiths, PhD19Prof. J Anthony G Scott, FRCP20KEMRI-Wellcome Trust Research Programme, Kilifi, KenyaKEMRI-Wellcome Trust Research Programme, Kilifi, KenyaKEMRI-Wellcome Trust Research Programme, Kilifi, KenyaKEMRI-Wellcome Trust Research Programme, Kilifi, KenyaKEMRI-Wellcome Trust Research Programme, Kilifi, KenyaKEMRI-Wellcome Trust Research Programme, Kilifi, KenyaKilifi District Hospital, Kilifi, KenyaKilifi District Hospital, Kilifi, KenyaKEMRI-Wellcome Trust Research Programme, Kilifi, KenyaKEMRI-Wellcome Trust Research Programme, Kilifi, KenyaKilifi District Hospital, Kilifi, KenyaKEMRI-Wellcome Trust Research Programme, Kilifi, KenyaKEMRI-Wellcome Trust Research Programme, Kilifi, KenyaKEMRI-Wellcome Trust Research Programme, Kilifi, KenyaKEMRI-Wellcome Trust Research Programme, Kilifi, KenyaKEMRI-Wellcome Trust Research Programme, Kilifi, KenyaJohns Hopkins Bloomberg School of Public Health, Baltimore, MD, USALondon School of Hygiene & Tropical Medicine, London, UKKEMRI-Wellcome Trust Research Programme, Kilifi, KenyaLondon School of Hygiene & Tropical Medicine, London, UKKEMRI-Wellcome Trust Research Programme, Kilifi, Kenya Background: Estimates of the burden of disease in adults in sub-Saharan Africa largely rely on models of sparse data. We aimed to measure the burden of disease in adults living in a rural area of coastal Kenya with use of linked clinical and demographic surveillance data. Methods: We used data from 18 712 adults admitted to Kilifi District Hospital (Kilifi, Kenya) between Jan 1, 2007, and Dec 31, 2012, linked to 790 635 person-years of observation within the Kilifi Health and Demographic Surveillance System, to establish the rates and major causes of admission to hospital. These data were also used to model disease-specific disability-adjusted life-years lost in the population. We used geographical mapping software to calculate admission rates stratified by distance from the hospital. Findings: The main causes of admission to hospital in women living within 5 km of the hospital were infectious and parasitic diseases (303 per 100 000 person-years of observation), pregnancy-related disorders (239 per 100 000 person-years of observation), and circulatory illnesses (105 per 100 000 person-years of observation). Leading causes of hospital admission in men living within 5 km of the hospital were infectious and parasitic diseases (169 per 100 000 person-years of observation), injuries (135 per 100 000 person-years of observation), and digestive system disorders (112 per 100 000 person-years of observation). HIV-related diseases were the leading cause of disability-adjusted life-years lost (2050 per 100 000 person-years of observation), followed by non-communicable diseases (741 per 100 000 person-years of observation). For every 5 km increase in distance from the hospital, all-cause admission rates decreased by 11% (95% CI 7–14) in men and 20% (17–23) in women. The magnitude of this decline was highest for endocrine disorders in women (35%; 95% CI 22–46) and neoplasms in men (30%; 9–45). Interpretation: Adults in rural Kenya face a combined burden of infectious diseases, pregnancy-related disorders, cardiovascular illnesses, and injuries. Disease burden estimates based on hospital data are affected by distance from the hospital, and the amount of underestimation of disease burden differs by both disease and sex. Funding: The Wellcome Trust, GAVI Alliance. http://www.sciencedirect.com/science/article/pii/S2214109X14700233