Improving Adolescent Reproductive Health in Asia and the Pacific

Author:

Gray Natalie12,Azzopardi Peter1,Kennedy Elissa1,Willersdorf Elise1,Creati Mick123

Affiliation:

1. Burnet Institute, Melbourne, Victoria, Australia

2. Monash University, Melbourne, Victoria, Australia

3. Royal Children’s Hospital, Melbourne, Victoria, Australia

Abstract

Data on adolescent reproductive health (ARH) are required to inform evidence-based policies and programs. The reports of national-level household surveys such as the Demographic and Health Survey (DHS) and Multiple Indicator Cluster Survey (MICS) are important sources of such data in developing countries. The aim of this study was to map data on ARH from DHS and MICS reports from selected countries in the Asia and Pacific regions. The DHS and MICS reports for Bangladesh, Cambodia, Indonesia, Papua New Guinea, Philippines, Solomon Islands, Timor-Leste, Vanuatu, and Vietnam were reviewed. Data on 128 indicators, including ARH outcomes, outcomes for babies of adolescent mothers, and adolescents’ access to health information and services, were mapped. Available data are limited because of the omission of cohorts such as young adolescents (10-14 years old) and, in many surveys, unmarried women; the omission of important indicators; and failure to report data disaggregated by age. DHS and MICS reports have limited capacity to inform policy and programs to improve ARH. A review of DHS and MICS sampling strategies and reporting templates, and a consideration of alternative data collection strategies, are warranted.

Publisher

SAGE Publications

Subject

Public Health, Environmental and Occupational Health

Reference29 articles.

1. World Health Organization. The Second Decade: Improving Adolescent Health and Development. Geneva, Switzerland: World Health Organization; 2001:1-20.

2. Pubertal transitions in health

3. Global perspectives on the sexual and reproductive health of adolescents: patterns, prevention, and potential

4. Global patterns of mortality in young people: a systematic analysis of population health data

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