Global Health Action (Mar 2014)
The INDEPTH standard population for low- and middle-income countries, 2013
- Osman Sankoh,
- David Sharrow,
- Kobus Herbst,
- Chodziwadziwa Whiteson Kabudula,
- Nurul Alam,
- Shashi Kant,
- Henrik Ravn,
- Abbas Bhuiya,
- Le Thi Vui,
- Timotheus Darikwa,
- Margaret Gyapong,
- Momodou Jasseh,
- Nguyen Chuc Thi Kim,
- Salim Abdullah,
- Amelia Crampin,
- John Ojal,
- Seth Owusu-Agyei,
- Frank Odhiambo,
- Mark Urassa,
- Kim Streatfield,
- Masaaki Shimada,
- Charfudin Sacoor,
- Donatien Beguy,
- Karim Derra,
- George Wak,
- Valerie Delaunay,
- Ali Sie,
- Abdramane Soura,
- Diadier Diallo,
- Siswanto Wilopo,
- Honorati Masanja,
- Bassirou Bonfoh,
- Suparat Phuanukoonnon,
- Samuel J. Clark
Affiliations
- Osman Sankoh
- INDEPTH Network, Accra, Ghana
- David Sharrow
- University of Washington, Seattle, USA
- Kobus Herbst
- Africa Centre, Kwa-Zulu Natal, South Africa
- Chodziwadziwa Whiteson Kabudula
- MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
- Nurul Alam
- AMK HDSS, Dhaka, Bangladesh
- Shashi Kant
- Ballabgarh HDSS, Ballabgarh, India
- Henrik Ravn
- Bandim HDSS, Bissau, Guinea Bissau
- Abbas Bhuiya
- Chakaria HDSS, Dhaka, Bangladesh
- Le Thi Vui
- Chililab HDSS, Chililab, Vietnam
- Timotheus Darikwa
- Dikgale HDSS, Polokwane, South Africa
- Margaret Gyapong
- Dodowa HDSS, Accra, Ghana
- Momodou Jasseh
- Farafanni HDSS, Farafanni, The Gambia
- Nguyen Chuc Thi Kim
- Filabavi HDS, Filabavi, Vietnam
- Salim Abdullah
- Ifakara HDSS, Dar es Salaam, Tanzania
- Amelia Crampin
- Karonga HDSS, Karonga, Malawi
- John Ojal
- Kilifi HDSS, Kilifi, Kenya
- Seth Owusu-Agyei
- Kintampo HDSS, Kintampo, Ghana
- Frank Odhiambo
- Kisumu HDSS, Kisumu, Kenya
- Mark Urassa
- Magu HDSS, Magu, Tanzania
- Kim Streatfield
- Matlab HDSS, Dhaka, Bangladesh
- Masaaki Shimada
- Mbita HDSS, Mbita, Kenya
- Charfudin Sacoor
- Manhica HDSS, Manhica, Mozambique
- Donatien Beguy
- Nairobi HDSS, Nairobi, Kenya
- Karim Derra
- Nanoro HDSS, Nanoro, Burkina Faso
- George Wak
- Navrongo HDSS, Navrongo, Ghana
- Valerie Delaunay
- Niakhar HDSS, Niakhar, Senegal
- Ali Sie
- Nouna HDSS, Nouna, Burkina Faso
- Abdramane Soura
- Ouagadougou HDSS, Ouagadougou, Burkina Faso
- Diadier Diallo
- Oubritenga HDSS, Oubritenga, Burkina Faso, PATH, Dakar, Senegal
- Siswanto Wilopo
- Purworejo HDSS, Purworejo, Indonesia
- Honorati Masanja
- Rufiji HDSS, Rufiji, Tanzania
- Bassirou Bonfoh
- Taabo HDSS, Taabo, Cote d'Ivoire
- Suparat Phuanukoonnon
- Wosera HDSS, Wosera, Papua New Guinea
- Samuel J. Clark
- INDEPTH Network, Accra, Ghana
- DOI
- https://doi.org/10.3402/gha.v7.23286
- Journal volume & issue
-
Vol. 7,
no. 0
pp. 1 – 6
Abstract
Crude rates such as the crude death rate are functions of both the age-specific rates and the age composition of a population. However, differences in the age structure between two populations or two time periods can result in specious differences in the corresponding crude rates making direct comparisons between populations or across time inappropriate. Therefore, when comparing crude rates between populations, it is desirable to eliminate or minimize the influence of age composition. This task is accomplished by using a standard age structure yielding an age-standardized rate. This paper proposes an updated International Network for the Demographic Evaluation of Populations and Their Health (INDEPTH) standard for use in low- and middle-income countries (LMICs) based on newly available data from the health and demographic surveillance system site members of the INDEPTH network located throughout Africa and southern Asia. The updated INDEPTH standard should better reflect the age structure of LMICs and result in more accurate health indicators and demographic rates. We demonstrate use of the new INDEPTH standard along with several existing ‘world’ standards and show how resulting age-standardized crude deaths rates differ when using the various standard age compositions.
Keywords
- crude death rate
- age-specific mortality rate
- age-standardized crude death rate
- demography
- standardized age structure
- low- and middle-income countries
