"International comparisons at Ined"

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"International comparisons at Ined" Adolescent fertility in 12 INDEPTH sites in Sub-Saharan Africa: is change faster than envisioned? C. Rossier, V. Delaunay, B. Schoumaker, D. Beguy, A. Jain, M. Bangha, M. Abera, G. Andargie, A. Aregay, B. Beck, K. Derra, M.Millogo, A.Nkhata, K. Siaka, M. Wamukoya, P. Zabre Scientific day "International comparisons at Ined" 30 September 2016, INED, Paris

The adolescent birth rate (ABR) Indicator of progress towards maternal health (MDGs and SDGs) More recently: indicator of progress towards gender equity (see new Gender Inequality Index UN 2010): ABR tightly linked to poor education and early union formation / poverty Indicator of adolescent overal sexual and reproductive health: associated with level of unmet need for contraception among adolescent => Contested (Hindin et al 2016): could unmet need not grow as ABR declines, depending on how it is measured (unmet need perhaps not well measured for non married women)

How accurate are the current measures of ABR in SSA? In this paper, we investigate the question of the measurement of adolescent fertility rates in SSA The main source of data on fertility in the region are the Demographic and Health Surveys (DHS) We use here Health and Demographic Surveillance Systems (HDSS) data, which have contributed to the measure of mortality so far sample sizes of adolescents in HDSS sites are much bigger than what is available in the DHS data quality is expected to be better (age, missing births), and exempt of sampling biases.

Is unmet need really lower when ABR is lower? Local-level data provide a larger diversity of situations Local level analyses in a variety of contexts are needed to further our understanding of fertility change and implications of these changes => we will examine in particulat the relationship between ABR levels and measures of unmet need for different sub-groups of adolescents (married and not married according to different levels of sexual activity).

  Starting year* Population 2014 Type DHS year and region Senegal 2014 Bandafassi 1970 13 000 rural Kedougou Niakhar 1962 43 000 Fatick Mlomp 1985 8 200 urban Ziguinchor Burkina Faso 2010 Nouna 1992 93 000 Bouche de Mouhoun Nanoro 2009 54 780 Center West Ouagdougou 82 387 Ouagadougou Côte d’Ivoire 2011-12 Taabo 2008 45 766 Sur sans Abijan Ethiopia 2011 Dabat 1996 46 984 Amhara Gilgel Gibe 2005 54 476 Oromya Kilite 65 848 Tigray Kenya Nairobi 2003 61 695 Malawi Karonga 2002-04 35 730 Northern

A workshop in Accra, May 2-6 2016

Comparative work at INDEPTH Raising fundsto invite one researcher per site Open call to all sites, template for data and examination of minimal data requirements 18 sites present in Accra Most of the week devoted to construct the "core residency file" (done for INDEPTHStats, but not shared within sites) 12 sites completed the analyses after the workshop/ had sufficiently good data => No other data than fertility rates and current education…

Methods HDSS : data in an event-history format: “core residency file” based on an entry/exit file of women aged 15 to 49, their date of birth and ID. Births and marriages (when available) were added as new events to the “core residency file”: data on education when available. Three sites had no or incomplete data on recent educational attainment (Bandafassi, Mlomp, Nairobi). DHS: we computed regional adolescent fertility rate for the 12 regions using tfr2 (5 last years); weights We compared in the two sources of data , the ATB (matching years) % population of women 15-19 by educational level (none, some primary, some secondary or more), ratio of women aged 15 to 19 to women aged 15 to 49 - unmet need contraception, for different groups of w. 15-19 by marital status / sexual activity

A huge diversity: Mlomp at the level of Europe Average for SSA 2010-2015 (UN): relatively close to the highest ABR registered among our sites (Nouna, Karonga, Bandafassi) Very fast declines in some sites: Karonga, Taabo, Bandafassi

Year of DHS last survey -1 Year of DHS last survey -   Number 15-19 Ratio 15-19 to 15-49 ABR TFR HDSS* 2014 DHS Last survey HDSS Year of DHS last survey -1 (5 last years) HDSS corrected DHS Year of DHS last survey - Bandafassi 644 90 0.24 22.06 0.11 0.19 5.52 6.52 Niakhar 2121 146 0.23 25.45 0.07 0.08 0.06 6.11 6.43 Mlomp 476 103 22.97 0.02 3.50 4.66 Nouna 3862 230 0.21 16.52 0.14 0.17 5.4730 6.77 Nanoro 2229 304 0.13 0.09 4.8282 6.54 Ouagdougou 4148 317 0.05 3.13 3.26 Taabo 3851 137 0.20 0.10 5.3889 4.74 Nairobi 2577 125 0.16 0.12 2.58 2.90 Karonga 2387 968 5.74

Comparison DHS- HDSS: 9 sites (Ethiopian sites forthcoming) The ABR is lower in HDSS sited compared to DHS region in 5 cases, similar in 4 cases Educational level of 15-19 on the whole lower in HDSS sites compared to region as a whole => when controlling for age, the gap widens Similar conclusion for the TFR.. N much higher in HDSS Does the DHS under sample "unconcerned" women aged 15-19? => ratio 15-19 lower in 3 sites (Nouna, Nanoro and Nairobi)

Context and consequences of ABR diversity among the 12 regions (DHS data)

To sum up context / implications Relationship with marital status and educational level as expected Strong link with unmet need 15-19 No relationship with % engaging in premarital sexual activity Strong link with unmet need among women 15-19 who are having premarital sexual activity => This unmet need seems related to contraceptive use / unmet need among married adolescent and not to how widespread premarital sexual activity is Not enough data in the regional DHS samples