The level and trends of child mortality inSouth Africa, 1996-2006

Darikwa, Timotheus; Dorrington, Rob

doi:10.11564/25-1-262

Cited by 9 publications

(15 citation statements)

References 5 publications

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“…Given the major deficiency of the vital registration in developing countries, the indirect approach can be used to estimate the completeness of births and deaths registration as well as mortality estimation (Darikwa & Dorrington, 2011). These indirect techniques depend on models to produce estimates of a certain parameter on the basis of defective or incomplete data.…”

Section: Literature Review and Theoretical Frameworkmentioning

confidence: 99%

Assessment of the completeness of births and deaths registration in an urban Nigerian community

Williams

2014

APS

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This paper assessed the completeness of births and deaths registration in Mokola, a semi-urban ( 91,1%) Résumé Ce document évaluait l'exhaustivité des naissances et décès inscription dans Mokola , une communauté semi-urbaine dans l'Etat d'Oyo , au Nigeria. L' étude transversale auprès d'un échantillon de grappes à deux degrés a été conçu pour sélectionner 1 361 hommes et femmes âgés de 15 à 65 ans. Informations sur les naissances et les décès enregistrement a été recueillie à l'aide d'un pré-test interviewer questionnaire administré structuré. Évaluation de la naissance et de données d'enregistrement des décès a été réalisée en utilisant des méthodes démographiques indirectes. L'âge moyen des répondants était de 31 ans ( SD ± 8,8 ans). Presque toutes les mères

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Section: Literature Review and Theoretical Frameworkmentioning

confidence: 99%

Assessment of the completeness of births and deaths registration in an urban Nigerian community

Williams

2014

APS

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“…This bodes well for more accurate estimates of this important indicator, in particular the prospect of deriving infant mortality directly from vital registration data with minimal adjustment (46). …”

Section: Mortality Data Sources In South Africamentioning

confidence: 96%

“…For the period 1996–2006, the estimated level of death registration improved from 43 to 89% for infants; from 44 to 78% for children under 5 years; and from 43 to 57% for children aged 1–4 years (46). These childhood estimates were derived using a multi-stage method described in Darikwa and Dorrington (46), using registered death data from civil registration; data from the 2007 Community Survey (child deaths over the past 12 months as reported by households, children ever born/children surviving data, and data on the survival of the last child born to women aged 12–49 years); 2001 Census (reported household deaths); and data from previous research (47–50) based on the 1998 South Africa Demographic and Health Survey (SADHS) and 1996 Census.…”

Section: Mortality Data Sources In South Africamentioning

confidence: 99%

“…These childhood estimates were derived using a multi-stage method described in Darikwa and Dorrington (46), using registered death data from civil registration; data from the 2007 Community Survey (child deaths over the past 12 months as reported by households, children ever born/children surviving data, and data on the survival of the last child born to women aged 12–49 years); 2001 Census (reported household deaths); and data from previous research (47–50) based on the 1998 South Africa Demographic and Health Survey (SADHS) and 1996 Census. Completeness levels between 1996 and 2006 were determined by assuming that the completeness of death registration follows a logistic trend over time; that completeness in any age group did not decrease over the period; and that the trend in completeness is smooth (i.e.…”

Section: Mortality Data Sources In South Africamentioning

confidence: 99%

“…fluctuations in the data are not due to fluctuations in completeness). A logistic curve was then fitted (46, 51). …”

Section: Mortality Data Sources In South Africamentioning

confidence: 99%

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Characteristics, availability and uses of vital registration and other mortality data sources in post-democracy South Africa

Joubert

Rao

Bradshaw

et al. 2012

Global Health Action

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The value of good-quality mortality data for public health is widely acknowledged. While effective civil registration systems remains the ‘gold standard’ source for continuous mortality measurement, less than 25% of deaths are registered in most African countries. Alternative data collection systems can provide mortality data to complement those from civil registration, given an understanding of data source characteristics and data quality. We aim to document mortality data sources in post-democracy South Africa; to report on availability, limitations, strengths, and possible complementary uses of the data; and to make recommendations for improved data for mortality measurement. Civil registration and alternative mortality data collection systems, data availability, and complementary uses were assessed by reviewing blank questionnaires, death notification forms, death data capture sheets, and patient cards; legislation; electronic data archives and databases; and related information in scientific journals, research reports, statistical releases, government reports and books. Recent transformation has enhanced civil registration and official mortality data availability. Additionally, a range of mortality data items are available in three population censuses, three demographic surveillance systems, and a number of national surveys, mortality audits, and disease notification programmes. Child and adult mortality items were found in all national data sources, and maternal mortality items in most. Detailed cause-of-death data are available from civil registration and demographic surveillance. In a continent often reported as lacking the basic data to infer levels, patterns and trends of mortality, there is evidence of substantial improvement in South Africa in the availability of data for mortality assessment. Mortality data sources are many and varied, providing opportunity for comparing results and improved public health planning. However, more can and must be done to improve mortality measurement by improving data quality, triangulating data, and expanding analytic capacity. Cause data, in particular, must be improved.

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