Indicator 3.7.2 Adolescent birth rate (aged 10–14 years; aged 15–19 years) per 1,000 women in that age group

Goal 3: Ensure healthy lives and promote well-being for all at all ages 

Target 3.7: By 2030, ensure universal access to sexual and reproductive health-care services, including for family planning, information and education, and the integration of reproductive health into national strategies and programs 

Indicator 3.7.2: Adolescent birth rate (aged 10-14 years; aged 15-19 years) per 1,000 women in that age group

November 2021

Target 5.6

Uganda Bureau of Statistics

Uganda Bureau of Statistics

Johnstone Galande

Department of Demography and Social Statistics

Senior Demographer

+256 782 789787

P.O Box 7186, Kampala

galandej1@gmail.com

Definition:

Annual number of births to females aged 10-14 or 15-19 years per 1,000 females in the respective age group

Concepts:

The adolescent birth rate represents the level of childbearing among females in the particular age group. The adolescent birth rate among women aged 15-19 years is also referred to as the age-specific fertility rate for women aged 15-19.

Number of births to females aged 10-14 or 15-19 years per 1,000 females in the respective age group

None

The Uganda Demography and Health Survey (UDHS)

Sample Design:

The sample design for the 2016 UDHS used the sampling frame from the Uganda National Population and Housing Census (NPHC 2014).The census frame is a complete list of all census Enumeration Areas (EAs) created for the 2014 NPHC. In Uganda, an EA is a geographic area that covers an average of about 130 households.

At the time of the NPHC, Uganda was divided administratively into 112 districts, which were grouped for this survey into 15 regions. The sample for the 2016 UDHS was designed to provide estimates of key indicators for the country as a whole, for urban and rural areas separately, and for each of the 15 sub regions. Estimates are also presented for three special areas: the Lake Victoria islands, the mountainous districts, and greater Kampala.

The 2016 UDHS sample was stratified and selected in two stages. In the first stage, 697 EAs were selected from the 2014 NPHC, 162 EAs in urban areas and 535 in rural areas.

Households constituted the second stage of sampling. A listing of households was compiled in each of the 696 accessible selected EAs from April to October 2016.

To minimize the task of household listing, each large EA (that is to say more than 300 households) selected for the 2016 UDHS was segmented. Only one segment was selected for the survey with probability proportional to segment size, and the household listing was conducted only in the selected segment.

Out of the 20,880 selected households (30 households per EA), 18,506 women aged 15-49 were successfully interviewed. All women age 15-49 who were either permanent residents of the selected households or visitors who stayed in the household the night before the survey were eligible to be interviewed. In one-third of the sampled households, all men age 15-54, including both usual residents and visitors who stayed in the household the night before the interview, were eligible for individual interviews.

Recruitment and Training:

UBOS recruited and trained field staff to serve as supervisors, CAPI managers, interviewers, health technicians, and reserve interviewers for the main fieldwork. Health technicians were trained separately from interviewers. A two-day f ield practice was organized to provide trainees with additional hands on practice before the actual fieldwork. Prior to the main field work, a pre-test was conducted and best practices were adopted.

Questionnaires:

Four questionnaires were used for the 2016 UDHS: The Household Questionnaire, the Woman’s Questionnaire, the Man’s Questionnaire, and the Biomarker Questionnaire. The questionnaires, based on The DHS Program’s model questionnaires, were adapted to reflect the population and health issues relevant to Uganda.

Input was solicited from all stakeholders such as; Government Ministries and Agencies, Non-governmental Organizations, and Development partners. After the finalization of the questionnaires in English, they were then translated into eight major local languages. The Household, Woman’s, and Man’s Questionnaires were programmed into a computer-assisted personal interviewing (CAPI) application for data collection purposes.

Data collection:

Data collection was conducted by 21 field teams, each consisting of one team leader, one field data Manager, three female interviewers, one male interviewer, one health technician, and a driver. The health technicians were responsible for anthropometric measurements, blood sample collection for Hemoglobin and malaria testing, and DBS specimen collection for vitamin A testing.

The, interviewers used tablets to record all questionnaire responses during the interviews. The tablets were equipped with Bluetooth technology to enable remote electronic transfer of files, such as assignments from the team supervisor to the interviewers, individual questionnaires among survey team members, and completed questionnaires from interviewers to team supervisors.

The field supervisors transferred data to the central data processing office via Internet File Streaming System (IFSS). Senior staff from the Makerere University School of Public Health, the Ministry of Health, and UBOS and a survey technical specialist from the DHS Program coordinated and supervised fieldwork activities. Data collection took place over a 6-month period from June 2016 through December 2016.

Every 5 years

2022

Uganda Bureau of Statistics

Uganda Bureau of Statistics, ICF

The Uganda Bureau of Statistics (UBOS) Act, 1998 provides for the development and maintenance of a National Statistical System (NSS) to ensure collection, analysis and publication of integrated, relevant, reliable and timely statistical information. It established the Bureau as the coordinating, monitoring and supervisory body for the National Statistical System.

Reducing adolescent fertility and addressing the multiple factors underlying it are essential for improving sexual and reproductive health and the social and economic well-being of adolescents. There is substantial agreement in the literature that women who become pregnant and give birth very early in their reproductive lives are subject to higher risks of complications or even death during pregnancy and birth and their children are also more vulnerable. Therefore, preventing births very early in a woman’s life is an important measure to improve maternal health and reduce infant mortality. Furthermore, women having children at an early age experience reduced opportunities for socio-economic advancement, particularly because young mothers are less likely to complete their education and, if they need to work, may find it especially difficult to combine family and work responsibilities. The adolescent birth rate also provides indirect evidence on access to pertinent health services since young people, and in particular unmarried adolescent women, often experience difficulties in access to sexual and reproductive health services.

Equivalent to the age-specific fertility rate for girls age 10-14 for the 3-year period preceding the survey, expressed in terms of births per 1,000 girls age 10-14.

Equivalent to the age-specific fertility rate for women age 15-19 for the 3-year period preceding the survey, expressed in terms of births per 1,000 women age 15-19.

The adolescent birth rate is computed as a ratio. The numerator is the number of live births to women aged 15-19 years, and the denominator an estimate of exposure to childbearing by women aged 15-19 years. The computation is the same for the age group 10-14 years

The numerator is the number of live births obtained from retrospective birth histories of the interviewed women who were 15-19 years of age at the time of the births during a reference period before the interview, and the denominator is person-years lived between the ages of 15 and 19 years by the interviewed women during the same reference period. The reported observation year corresponds to the middle of the reference period.

A wide consultative process is undertaken to compile, assess and validate data on the indicator.

The consultation process solicited feedback directly from other Government Agencies responsible for official statistics, on the compilation of the indicators, including the data sources used, and the application of internationally agreed definitions, classification and methodologies to the data from that source. The results of this Indicator consultation are reviewed by Ministry of Gender and UNICEF.

Non

1. The survey implementation is overseen by a Technical Working Group which is constituted using a multi sectorial approach.

2. The survey report is reviewed by an experienced team at Management level who are in most cases Directors or Heads of departments and key stakeholders from Makerere School of Public Health, Molecular Laboratory of Makerere University School of Health Sciences, Ministry of Health and later reviewed by consultants

The UDHS goes through several stages before production and sharing of the final findings. During the Survey implementation. i. Consultative user needs assessment meetings are held with all key stakeholders.

ii. ICF International provided consultants to oversee the UDHS

iii. The survey and sampling design generated using scientific methods as recommended by the Census and Survey Rules and Regulations.

iv. Comprehensive training sessions are organised for all survey staff before deployment to the field

v. The questionnaire development for different categories of the Target respondents were adapted to reflect the population and health issues relevant to Uganda. (Man’s Questionnaire, Woman’s questionnaire, Biomarker questionnaire and Field worker questionnaire. This follows a multi-stakeholder approach and pretesting helps to establish the relevancy and adequacy of the questions to be used.

vi. Senior Supervision is conducted during data collection to ensure that quality data is collected.

vii. Debriefing meetings are implemented during agreed intervals to discuss operational and technical field challenges

viii. Field Data editing, Secondary data cleaning and coding is undertaken before analysis and report writing ix. An independent quality assurance team is hired to check on the quality of the survey during various phases of the survey.

Before dissemination, the report is reviewed and quality assured by a professional team of the National Statistical

System. Quality Control is addressed at all levels during Survey implementation

Data Availability:

Data available Every 5 years

Time Series:

2011,2016.

Disaggregation: Age, education, 15 sub regions, , marital status, wealth quintiles and geographic location.

Non

Uganda Demographic and Health Survey 2016 [FR333] (ubos.org) https://dhsprogram.com/