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PRWP

Reproducibility package for Child-Direct Disability Screening in Tanzanian Primary Schools: Estimating Administrative Undercounts and Implications for Disability Prevalence in Low- and Middle-Income Countries

2025
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Reference ID
RR_TZA_2025_476
DOI
https://doi.org/10.60572/dp7p-zh66
Author(s)
Youngkwang Jeon, Nukba Zia, Daniel Mont, Stuart Johnson, Shabani Abeid, Fredrick Manang, Sarena Ho, Juliette Myers, Richard Nzoka, Nurat Karamagi, Godfrey Mulongo, Aidan Coville, Guadalupe Bedoya, Hee Kwon Seo
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World Bank Policy Research Working Papers
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JSON
Created on
Feb 03, 2026
Last modified
May 06, 2026
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8
  • Project Description
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  • Citation
  • Overview

    Abstract

    Policy for children in low- and middle-income countries depends on knowing who they are and what they need. For children with disabilities, that information is limited, costly to collect, and often understated in existing data systems. Administrative school records in Tanzania report disability prevalence of 0.56%—an order of magnitude below caregiver reported household surveys across 51 LMICs, which suggest rates near 14%. Caregiver surveys provide a broader picture but are expensive to implement at scale, limiting their use for policy.

    We evaluate an alternative: administering the Child Functioning Module (CFM) by directly asking primary school children in classrooms across nine regions of Tanzania. We benchmark these child-direct reports (3,246 children) against caregiver reports from UNICEF MICS6 (483,164 children, 51 countries), Tanzania’s Annual School Census, and optometrist-led vision screening. Overall prevalence and severity are similar to caregiver reports, but child-direct data identify substantially higher rates of difficulties in vision, hearing, communication, and social interaction. For vision and hearing, available medical screening evidence from Tanzania and other settings likewise indicates higher rates than caregiver reports. Child-direct estimates exceed administrative records by a factor of 13.2 (95% CI: 10.3–16.2). We therefore estimate a lower-bound prevalence of 14.4% (95% CI: 14.1–14.7) across 51 LMICs.

    These findings suggest that school-based, child-direct screening is a feasible way to improve identification, supporting more effective use of development budgets for classroom accommodations, teacher deployment, and examination arrangements.

    Reproducibility Package

    Scripts
    Readme Get Reproducibility Package
    Link: https://reproducibility.worldbank.org/catalog/456/download/1597/README.pdf
    Reproducibility package for Child-Direct Disability Screening in Tanzanian Primary Schools: Estimating Administrative Undercounts and Implications for Disability Prevalence in Low- and Middle-Income Countries
    File name
    RR_TZA_2025_476
    Zip package
    RR_TZA_2025_476.zip
    Title
    Reproducibility package for Child-Direct Disability Screening in Tanzanian Primary Schools: Estimating Administrative Undercounts and Implications for Disability Prevalence in Low- and Middle-Income Countries
    Date
    2025-11
    Dependencies
    Stata dependencies are listed in the ado folder.
    Instructions
    See README in reproducibility package.
    Notes
    Computational reproducibility verified by Development Impact (DECDI) Analytics team, World Bank.
    Source code repository
    Repository name URI
    Reproducible Research Repository (World Bank) https://reproducibility.worldbank.org
    Software
    Stata
    Name
    Stata
    Version
    18 MP

    Reproducibility

    Technology environment

    Paper exhibits were reproduced on a computer with the following specifications:
    • OS: Windows 11 Enterprise
    • Processor: INTEL(R) XEON(R) PLATINUM 8562Y+ 2.80 GHz (4 processors)
    • Memory available: 32 GB

    Technology requirements

    Run time: ~ 40 minutes

    Reproduction instructions
    1. Secure Access to Data: Access the datasets not included in the package. See subsection Datasets for more details.
    2. Download and Place Data: Once the data is accessed, users should place it in the appropriate folder.
    3. Run the Package: After placing the data in the folder, run the files in the order:
      • Update the globals in line 59-60 of the do-file "MasterDo" to your folder's location and run the do-file.

    Since all the data is not included, the package includes the results produced by replicators. These files can be used to review the results presented in the paper.

    Data

    Datasets
    Tanzania Basic Education Data
    Name
    Tanzania Basic Education Data
    Note
    These files contain administrative education statistics compiled by the Republic of Tanzania’s President’s Office – Regional Administration and Local Government (PO-RALG). The data cover enrollment by grade and education stage based on the 2022 Basic Education Statistics. The datasets are typically available via the PO-RALG website; however, at the time of access, the BEST dataset website was temporarily unavailable. Files: Raw/IdentificationPilotMap/Consolidated_Primary_EnrolmentbyGrade_PTR_2023_PSLE2022.xlsx; Raw/Best/1. BEST 2022 Regional Data Final.xlsx
    Access policy
    Data is publicly available and included in the reproducibility package.
    License
    Not specified. Data is publicly accessible via direct download.
    Data URL
    http://old.tamisemi.go.tz/singleministers/basic_education_data_2023
    Citation
    Republic of Tanzania, President’s Office – Regional Administration and Local Government (PO-RALG). (2022). Basic Education Statistics 2022. Administrative data, accessed in 2024.
    Multiple Indicator Cluster Surveys (MICS)
    Name
    Multiple Indicator Cluster Surveys (MICS)
    Note
    The analysis uses country-level SPSS datasets (stored in folders xxx MICS6 SPSS Datasets), where xxx corresponds to each of the 51 countries included in the sample. Data are from MICS Round 6 surveys, conducted between 2017 and 2023 (with most data collected in 2018–2019). The datasets are available for registered users from the UNICEF MICS website (https://mics.unicef.or) by filtering on Round: MICS6, Data type: MICS, and Status: Completed.
    Access policy
    Data is publicly available but does not allow redistribution and is not included in the reproducibility package.
    License URL
    https://www.unicef.org/legal
    Data URL
    https://mics.unicef.org/surveys
    Citation
    UNICEF. (2017–2023). Multiple Indicator Cluster Surveys (MICS), Round 6 [Data set]. Country-level SPSS files. United Nations Children’s Fund. Available from https://mics.unicef.org
    Population and GDP data
    Name
    Population and GDP data
    Note
    Data compiled by the authors. Population totals for ages 5–17 (total_5to17) and 6–13 (total_6to13) correspond to 2023 estimates from the UN Population Division. GDP per capita (gdp_p_c) reflects 2023 values from the World Bank’s World Development Indicators, with exceptions for the State of Palestine (2023) and Cuba (2022), which are sourced from Trading Economics. Data were accessed in 2024. Files: UnicefMics/MICS_population.xlsx
    Access policy
    Data is publicly available and included in the reproducibility package.
    Citation
    1. World Bank. 2025. "World Development Indicators" [Data set]. Indicator accessed: GDP per capita in 2023l. Accessed in 2024. https://databank.worldbank.org/source/world-development-indicators. 2. Trading Economics. (2023). GDP per capita by country [Data set]. https://tradingeconomics.com/country-list/gdp?continent=world. 3. United Nations, Department of Economic and Social Affairs, Population Division. (2024). World Population Prospects [Data set]. https://population.un.org/dataportal/
    Children Enrolled in Public Primary Schools in Shule Bora (SB) Tanzania Regions Survey
    Name
    Children Enrolled in Public Primary Schools in Shule Bora (SB) Tanzania Regions Survey
    Note
    Dates accessed or survey conducted: 20 February 2023 – 6 March 2023. This dataset covers students enrolled in public primary schools across nine Tanzanian regions under the Shule Bora program (Dodoma, Katavi, Kigoma, Mara, Pwani, Rukwa, Simiyu, Singida, and Tanga). Files: Raw/ShuleBoraInclusionBaseline/Student Survey.dta
    Access policy
    Data are temporarily embargoed by the authors. Once the embargo is lifted, the datasets will be made available through the World Bank Microdata Library.
    Citation
    Government of Tanzania, Shule Bora Program, and DataVision International Ltd. (2023). Shule Bora Baseline Student Survey (SB Tanzania). Forthcoming in World Bank Microdata Library.
    Early Grade Reading Assessment (EGRA) / Early Grade Mathematics Assessment (EGMA)
    Name
    Early Grade Reading Assessment (EGRA) / Early Grade Mathematics Assessment (EGMA)
    Note
    Dates accessed or survey conducted: 20 February 2023 – 6 March 2023. This dataset includes the results of EGRA and EGMA tests conducted as part of the Shule Bora baseline in 2023. Files: Raw/ShuleBoraCambEdBaseline/EGRA EGMA Assessment.dta
    Access policy
    Data are temporarily embargoed by the authors. Once the embargo is lifted, the datasets will be made available through the World Bank Microdata Library.
    Citation
    Government of Tanzania, Shule Bora Program, and DataVision International Ltd. (2023). Shule Bora Baseline EGRA/EGMA Assessment (SB Tanzania). Forthcoming in World Bank Microdata Library.
    Certificate of Secondary Education Examination (CSEE) test results 2018 – 2020
    Name
    Certificate of Secondary Education Examination (CSEE) test results 2018 – 2020
    Note
    Dates accessed or survey conducted: Administered annually during the first week of November; dataset covers examination years 2018–2020. Files: IdentificationPilotMap/CSEEictRegions18-20.dta
    Access policy
    Data access was granted directly to the study authors by the data owners/managers. It was obtained with a custom data license that does not allow for redistribution and it is not included in the reproducibility package.
    Citation
    United Republic of Tanzania, National Examinations Council of Tanzania (NECTA). Certificate of Secondary Education Examination (CSEE), 2018–2020. Dataset: CSEEtiCtRegions18–20.dta.
    Shule Bora Baseline List of Schools: Government Primary Schools
    Name
    Shule Bora Baseline List of Schools: Government Primary Schools
    Note
    List of government primary schools by location and type of special needs alignment used as the baseline school roster for the Shule Bora program. Dates accessed or survey conducted: Data reflect school information as of 31 March 2022 and were entered into the ASC system at the school level by heads of schools. Files: IdentificationPilotMap/SB baseline list of schools.xlsx
    Access policy
    Data access was granted directly to the study authors by the data owners/managers. It was obtained with a custom data license that does not allow for redistribution and it is not included in the reproducibility package.
    Citation
    United Republic of Tanzania, President’s Office – Regional Administration and Local Government (PMO-RALG). Annual School Census (ASC), 2022. Shule Bora Baseline List of Schools (Primary_Gov), unpublished administrative data.
    List of Schools with Students with Special Needs by Type of Disability
    Name
    List of Schools with Students with Special Needs by Type of Disability
    Note
    Administrative dataset containing government disability statistics on the number of children with disabilities (CWDs) enrolled in government primary schools across nine regions, disaggregated by type of disability. The data are not publicly available and are used in the Shule Bora program to identify and classify inclusive schools for sampling, weighting, and analytical purposes. Dates accessed or survey conducted: Collected by PO-RALG directly from schools and compiled at the regional level; specific collection dates are not publicly documented. Files: IdentificationPilotMap/SB Inclusive schools in 9 regions v3.xlsx
    Access policy
    Data access was granted directly to the study authors by the data owners/managers. It was obtained with a custom data license that does not allow for redistribution and it is not included in the reproducibility package.
    Citation
    United Republic of Tanzania, President’s Office – Regional Administration and Local Government (PO-RALG). Administrative data on Children with Disabilities in Primary Schools, nine regions. Shule Bora Inclusive Schools in 9 Regions dataset, unpublished administrative data.
    VisionCare: School Screening Overall Statistics (2025)
    Name
    VisionCare: School Screening Overall Statistics (2025)
    Note
    Data contains information on first and second vision screenings, expected and actual follow-up screenings, and provision of spectacles. These data were shared directly by the implementing partner (Vision Care Tanzania) and are available upon request, subject to approval from both Vision Care Tanzania and the Korea International Cooperation Agency (KOICA). Accessed: 2025-11-21. Files: Raw/VisionCare/School screening overall statistics (2025) _WB sharing data.xlsx
    Access policy
    Data access was granted directly to the study authors by the data owners/managers. It was obtained with a custom data license that does not allow for redistribution and it is not included in the reproducibility package.
    Data URL
    https://vcs2020.org/
    Citation
    Vision Care Tanzania. 2025. "School Screening Overall Statistics" [dataset]. https://vcs2020.org/. Accessed November 2025.
    Baseline MNREAD Measures for Normally Sighted Subjects
    Name
    Baseline MNREAD Measures for Normally Sighted Subjects
    Note
    Data accessed on March 24, 2026. The file Figure1Data.xlsx contains information on reading speed (words per minute) and print size (logMAR), digitized by the authors from Figure 1 of the source article using PlotDigitizer. The underlying figure is publicly available from the article repository. File location: Raw/VisualAcuity/Figure1Data.xlsx
    Access policy
    Data is publicly available and included in the reproducibility package.
    License
    Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
    License URL
    https://pmc.ncbi.nlm.nih.gov/about/copyright/
    Data URL
    https://pmc.ncbi.nlm.nih.gov/articles/PMC4961000/
    Citation
    Calabrèse A, Cheong AM, Cheung SH, He Y, Kwon M, Mansfield JS, Subramanian A, Yu D, Legge GE. Baseline MNREAD Measures for Normally Sighted Subjects From Childhood to Old Age. Invest Ophthalmol Vis Sci. 2016 Jul 1;57(8):3836-43. doi: 10.1167/iovs.16-19580. PMID: 27442222; PMCID: PMC4961000
    Tanzania Primary Education Administrative Data
    Name
    Tanzania Primary Education Administrative Data
    Note
    Data accessed in September 2024. Two datasets obtained from the Government of Tanzania through a direct institutional contact via email, associated with the Ministry of Education data platform (https://esmis.moe.go.tz/). (1) Pupils with Disabilities in Primary Schools (accessed September 27, 2024): contains school-level information including Region, Council, Ward, School, Reg. No., Ownership, and counts of children with disabilities disaggregated by sex and disability type (Albino, Deaf, Hard of Hearing, Deaf-Blind, Blind, Low Vision, Physical Impairment, Autism, Intellectual Impairment, and Multi-Impairment). Files: Raw/IdentificationPilotMap/Pupils with Disabilities in Primary Schools, 2024_2.xlsx. (2) Consolidated Primary Education Data (accessed September 30, 2024): contains school-level information including Region, Council, Ward, School, Reg. No., NECTA Centre No., Ownership, Latitude, Longitude, and student enrollment counts by grade and sex for Standard I through Standard VII, as well as total boys and girls. Files: Raw/IdentificationPilotMap/Consolidated Primary Education Data, 2024.xlsx. Access requires approval from the Government of Tanzania.
    Access policy
    Data access was granted directly to the study authors by the data owners. It was obtained with a custom data license that does not allow for redistribution and it is not included in the reproducibility package.
    Data URL
    https://esmis.moe.go.tz/
    Citation
    Government of Tanzania, Ministry of Education. 2024. "Tanzania Primary Education Administrative Data" [dataset]. Unpublished data shared directly by institutional contact. Accessed September 2024.
    Data statement

    Some data is restricted and has not been included in the reproducibility package. For more details, please refer to the README file.

    Description

    Output
    Child-Direct Disability Screening in Tanzanian Primary Schools: Estimating Administrative Undercounts and Implications for Disability Prevalence in Low- and Middle-Income Countries
    Type
    Working Paper
    Title
    Child-Direct Disability Screening in Tanzanian Primary Schools: Estimating Administrative Undercounts and Implications for Disability Prevalence in Low- and Middle-Income Countries
    Description
    Policy Research Working Papers (PRWP)
    Authors
    Author Affiliation Email
    Youngkwang Jeon World Bank yjeon@worldbank.org
    Nukba Zia Johns Hopkins University Bloomberg School of Public Health nukhba.zia@jhu.edu
    Daniel Mont Center for Inclusive Policy daniel.mont@inclusive-policy.org
    Stuart Johnson Cambridge Education Stuart.Johnson@mottmac.com
    Shabani Abeid Cambridge Education; Action on Disability and Development (ADD) International shabani.abeid@add-tanzania.org
    Fredrick Manang University of Dodoma fmanang@gmail.com
    Sarena Ho Johns Hopkins University Bloomberg School of Public Health sarena.ho@gmail.com
    Juliette Myers Cambridge Education myersjuliette@gmail.com
    Richard Nzoka Cambridge Education richard.nzoka@camb-ed.com
    Nurat Karamagi Cambridge Education nurat.karamagi@camb-ed.com
    Godfrey Mulongo Cambridge Education Godfrey.Mulongo@camb-ed.com
    Aidan Coville World Bank acoville@worldbank.org
    Guadalupe Bedoya World Bank gbedoya@worldbank.org
    Hee Kwon Seo World Bank hseo@worldbank.org
    Date of production

    2025-11-12

    Scope and coverage

    Geographic locations
    Location Code
    Tanzania TZA
    Keywords
    Child And Adolescent Health Disability Children With Disabilities Distributional Comparison Standardized Identification And Assessment Child Functioning Module (Cfm)

    Disclaimer

    Disclaimer

    The materials in the reproducibility packages are distributed as they were prepared by the staff of the International Bank for Reconstruction and Development/The World Bank. The findings, interpretations, and conclusions expressed in this event do not necessarily reflect the views of the World Bank, the Executive Directors of the World Bank, or the governments they represent. The World Bank does not guarantee the accuracy of the materials included in the reproducibility package.

    Access and rights

    License
    Name URI
    Modified BSD3 https://opensource.org/license/bsd-3-clause/

    Contacts

    Contacts
    Name Affiliation Email
    Youngkwang Jeon World Bank yjeon@worldbank.org
    Reproducibility WBG World Bank reproducibility@worldbank.org

    Information on metadata

    Producers
    Name Abbreviation Affiliation Role
    Reproducibility WBG DECDI World Bank - Development Impact Department Verification and preparation of metadata
    Date of Production

    2025-11-12

    Document version

    1

    Citation

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