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Interim measures for meeting needs for health sector data: births, deaths, and causes of death (Series 3rd of 4)

dc.contributor.authorHill, Kenneth
dc.contributor.authorLopez, Alan D.
dc.contributor.authorShibuya, Kenji
dc.contributor.authorJha, Prabhat
dc.contributor.authorAbouZahr, Carla
dc.contributor.authorAnderson, Robert N
dc.contributor.authorBawah, Ayaga A
dc.contributor.authorCleland, John
dc.contributor.authorCoullare, Francesca
dc.contributor.authorHull, Terence
dc.contributor.authorMacfarlane, Sarah B.
dc.contributor.authorMahapatra, Prasanta
dc.contributor.authorMikkelsen, Lene
dc.contributor.authorNotzon, Francis C
dc.contributor.authorRao, Chalapati
dc.contributor.authorSetel, Philip W
dc.contributor.authorStout, Susan
dc.contributor.authorSzreter, Simon
dc.contributor.authorTangcharoensathien, Viroj
dc.date.accessioned2015-12-10T22:18:52Z
dc.date.issued2007
dc.date.updated2015-12-09T08:39:07Z
dc.description.abstractMost developing countries do not have fully effective civil registration systems to provide necessary information about population health. Interim approaches-both innovative strategies for collection of data, and methods of assessment or estimation of these data-to fill the resulting information gaps have been developed and refined over the past four decades. To respond to the needs for data for births, deaths, and causes of death, data collection systems such as population censuses, sample vital registration systems, demographic surveillance sites, and internationally-coordinated sample survey programmes in combination with enhanced methods of assessment and analysis have been successfully implemented to complement civil registration systems. Methods of assessment and analysis of incomplete information or indirect indicators have also been improved, as have approaches to ascertainment of cause of death by verbal autopsy, disease modelling, and other strategies. Our knowledge of demography and descriptive epidemiology of populations in developing countries has been greatly increased by the widespread use of these interim approaches; although gaps remain, particularly for adult mortality. However, these approaches should not be regarded as substitutes for complete civil registration but rather as complements, essential parts of any fully comprehensive health information system. International organisations, national governments, and academia all have responsibilities in ensuring that data continue to be collected and that methods continue to be improved.
dc.identifier.issn0140-6736
dc.identifier.urihttp://hdl.handle.net/1885/51595
dc.publisherLancet Publishing Group
dc.sourceLancet, The (UK edition)
dc.subjectKeywords: birth; cause of death; data analysis; death; descriptive research; developing country; disease model; government; health care; health program; health survey; human; information processing; international cooperation; medical information system; mortality;
dc.titleInterim measures for meeting needs for health sector data: births, deaths, and causes of death (Series 3rd of 4)
dc.typeJournal article
local.bibliographicCitation.issue9600
local.bibliographicCitation.lastpage1735
local.bibliographicCitation.startpage1726
local.contributor.affiliationHill, Kenneth, Harvard University
local.contributor.affiliationLopez, Alan D., University of Queensland
local.contributor.affiliationShibuya, Kenji, World Health Organization
local.contributor.affiliationJha, Prabhat, University of Toronto
local.contributor.affiliationAbouZahr, Carla, Health and Metrics Network
local.contributor.affiliationAnderson, Robert N, Centers for Disease control and Prevention
local.contributor.affiliationBawah, Ayaga A, INDEPTH Network
local.contributor.affiliationCleland, John, University of London
local.contributor.affiliationCoullare, Francesca, United Nations
local.contributor.affiliationHull, Terence, College of Arts and Social Sciences, ANU
local.contributor.affiliationMacfarlane, Sarah B., University of California
local.contributor.affiliationMahapatra, Prasanta, Institute of Health Systems
local.contributor.affiliationMikkelsen, Lene, Health Metrics Network
local.contributor.affiliationNotzon, Francis C, Centers for Disease Control and Prevention
local.contributor.affiliationRao, Chalapati, University of Queensland
local.contributor.affiliationSetel, Philip W, University of North Carolina
local.contributor.affiliationStout, Susan, World Bank
local.contributor.affiliationSzreter, Simon, University of Cambridge
local.contributor.affiliationTangcharoensathien, Viroj, Ministry of Public Health
local.contributor.authoruidHull, Terence, u7901869
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.identifier.absfor160399 - Demography not elsewhere classified
local.identifier.ariespublicationu9406909xPUB227
local.identifier.citationvolume370
local.identifier.doi10.1016/S0140-6736(07)61309-9
local.identifier.scopusID2-s2.0-35548956126
local.type.statusPublished Version

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