Indicator 4.2.1 Proportion of children aged 24-59 months who are developmentally on track in health, learning and psychosocial well-being, by sex

Goal 4: Ensure inclusive and equitable quality education and promote lifelong learning opportunities for all.

Target 4.2: By 2030, substantially increase the supply of qualified teachers, including through international cooperation for teacher training in developing countries, especially least developed countries and Small Island developing States

Indicator 4.2.1: Proportion of children aged 24-59 months who are developmentally on track in health, learning and psychosocial well-being by sex

November 2021

Indicators 4.2.2

Uganda Bureau of Statistics

Uganda Bureau of Statistics

Kawase George

Department of Demography and Social Statistics

Senior Statistician

+256 772 443310

P.O Box 7186, Kampala

george.kawase@ubos.org

Definition:

The proportion of children aged 24 to 59 months who are developmentally on track in health, learning and psychosocial well-being. Concepts: The domains included in the indicator for SDG indicator 4.2.1 include the following concepts:

• Health: gross motor development, fine motor development and self-care

• Learning: expressive language, literacy, numeracy, pre-writing, and executive functioning

• Psychosocial well-being: emotional skills, social skills, internalizing behavior, and externalizing behavior

Percent

Non

Uganda Demographic Health Survey

The 2016 UDHS underwent several stages before production and sharing of the final findings. These included: survey planning, consultative user needs assessment meetings, survey and sampling design, questionnaire development, pretesting and finalization of questionnaires, recruitment and training of field staff, field data collection and capture, data processing, management, checking and analysis; report writing and production. At each stage, the survey conformed to international best practices in survey implementation. In addition, all relevant international standards have been followed in generation of the indicator.

Sample Design:

The 2016 UDHS sample was designed to allow generation of separate estimates at the national level, for urban and rural areas and for the 15 sub-regions of Uganda. At the time of the survey, there were 129 functional districts. A two-stage stratified sampling design was used. At the first stage, EAs were grouped by districts of similar socio economic characteristics and by rural-urban location. The EAs were then drawn using Probability Proportional to Size. At the second stage, households which are the ultimate sampling units were drawn using Systematic Random Sampling.

In the first stage, 697 EAs were selected from the 2014 Uganda National Population and Housing Census (NPHC) list which constituted the Sampling Frame. 162 EAs in urban areas and 535 in rural areas. The EAs were then grouped into 15 sub regions, taking into consideration the standard errors required for estimation of poverty indicators at sub regions and the rural-urban domains.

Questionnaire:

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.

Training and field work:

UBOS recruited and trained a total of 173 fieldworkers (108 women and 65 men) to serve as supervisors.

CAPI managers, interviewers, health technicians, and reserve interviewers for the main fieldwork. Health Technicians were trained separately from interviewers. The training was conducted in a period of 30 days. The main approach of the training comprised instructions in relation to interviewing techniques and field procedures, a detailed review of the data collection modules, tests and practice using hand-held Computer Assisted Personal Interviews (CAPI) devices. The training also included classroom mock interviews and field practice in selected EAs outside of the main survey sample. Team supervisors were further trained in data quality control procedures and coordination of f ieldwork activities.

Prior to the main fieldwork, the data collection module were pretested to ensure that the questions were clear, flow ing and easily understood by the respondents.

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 one 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 UDHS 2016, interviewers used tables 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 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 20 June 2016 through 16 December 2016.

The CAPI Application used in the 2016 UDHS was developed by the DHS Program with the mobile version of CSPro. The CSPro software was developed jointly by the U.S. Census Bureau, Serpro S.A., and The DHS Program.

Every 5 years

2022

Uganda Bureau of Statistics

Uganda Bureau of Statistics

he 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

Early Childhood Development (ECD) sets the stage for life-long thriving. Investing in ECD is one of the most critical and cost-effective investments Uganda can make to improve adult health, education and productivity in order to build human capital and promote sustainable development. ECD is equity from the start and provides a good indication of national development. Efforts to improve ECD can bring about human, social and economic improvements for both individuals and societies.

None

The number of children aged 24 to 59 months who are developmentally on track in health, learning and psychosocial well-being divided by the total number of children aged 24 to 59 months in the population multiplied by 100%.

I would like to ask you some questions about the health and development of (NAME). Children do not all develop and learn at the same rate. For example, some walk earlier than others. These questions are related to several aspects (NAME)’s development.

1. Can (NAME) identify or name at least ten letters of the alphabet?

2. Can (NAME) read at least four simple, popular words?

3. Does (NAME) know the name and recognize the symbol of all numbers from 1 to 10?

4. Can (NAME) pick up a small object with two fingers, like a stick or a rock from the ground?

5. Does (NAME) attend any organized learning or early childhood education programme, such as a private or government facility, including kindergarten or Community child care?

6. Does (NAME) follow simple directions on how to do something correctly?

7. When given something to do, is (NAME) able to do it independently?

8. Does (NAME) get along well with other children or adults?

9. Does (NAME) kick, bite, or hit other children or adults?

10. Does (NAME) get distracted easily?

Non

The International Standard Classification for Education(ISCED)

Quality Management is addressed through a series of activities by the UBOS Top Management;

1. The survey implementation is overseen by a Steering Committee 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 2016 UDHS undergoes several stages before production and sharing of the final findings. During the Survey implementation.

1. Consultative user needs assessment meetings are held with all key stakeholders.
2. ICF International provided consultants to oversee the 2016 UDHS.
3. The survey and sampling design generated using scientific methods as recommended by the Census and Survey Rules and Regulations.
4. The questionnaire development for different categories of the Target respondents was 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.
5. . Senior Supervision is conducted during data collection to ensure the collection of quality data.
6. Field Data editing, Secondary data cleaning and coding is undertaken before analysis and report writing.

Before dissemination, the report is reviewed and quality assured by a professional team of the NSS. Quality Control is addressed at all levels during Survey implementation.

Data availability

The UDHS is conducted every 5 years

Time series

1989, 1995, 2001, 2006, 2011, 2016, 2022

Data disaggregation

By Sex, age groups, regional, residence and national

Non

Uganda Demographic Health Survey 2016