Evidence map›Paper›PMID 35427403›Full record

ArticlePloS one2022

Understanding child disability: Factors associated with child disability at the Iganga-Mayuge Health and Demographic Surveillance Site in Uganda.

Nukhba Zia, Abdulgafoor M Bachani, Dan Kajungu, Edward Galiwango, Mitchell Loeb, Marie Diener-West, Stephen Wegener, George Pariyo, Adnan A Hyder

Abstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Nukhba ZiaJohns Hopkins International Injury Research Unit, Health Systems Program, Department of International Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, United States of America.ORCID 0000-0002-2521-6049
Abdulgafoor M BachaniJohns Hopkins International Injury Research Unit, Health Systems Program, Department of International Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, United States of America.
Dan KajunguIganga-Mayuge Health and Demographic Surveillance Site, Makerere University School of Public Health, Kampala, Uganda.
Edward GaliwangoIganga-Mayuge Health and Demographic Surveillance Site, Makerere University School of Public Health, Kampala, Uganda.
Mitchell LoebWashington Group on Disability Statistics, Hyattsville, Maryland, United States of America.
Marie Diener-WestDepartment of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America.
Stephen WegenerDepartment of Physical Medicine and Rehabilitation, Division of Rehabilitation Psychology and Neuropsychology, Johns Hopkins School of Medicine, Baltimore, Maryland, United States of America.
George PariyoDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America.
Adnan A HyderMilken Institute School of Public Health, George Washington University, Washington, DC, United States of America.

Funding

Chronic Consequences of Trauma, Injuries, Disability Across the Lifespan: UgandaD43TW009284 · FIC · JOHNS HOPKINS UNIVERSITY · PI HYDER, ADNAN A · 2012 to 2016
$1.1M
E-capacity for Trauma, Injuries and Disability Research and Training in UgandaR25TW009701 · FIC · JOHNS HOPKINS UNIVERSITY · PI BACHANI, ABDULGAFOOR M., HYDER, ADNAN A · 2014 to 2016
$317k
FIC NIH HHS D43 TW009284FIC NIH HHS R25 TW009701
6 · The paper itself

Abstract

introductionThere is scarcity of data on children with disabilities living in low-and-middle-income countries, including Uganda. This study describes disability prevalence and explores factors associated with different disability categories. It highlights the value of using a standardized, easy-to-use tool to determine disability in children and contextualizing disability in children in light of their developmental needs.

methodsA cross-sectional study was conducted between September 2018-January 2019 at the Iganga-Mayuge Health and Demographic Surveillance Site in Uganda. Respondents were caregivers of children between 5-17 years and were administered an in-depth Child Functioning Module (CFM). The outcome variable, disability, was defined as an ordered categorical variable with three categories-mild, moderate, and severe. Generalized ordered logit model was applied to explore factors associated with disability categories.

resultsOut of 1,842 caregivers approached for the study, 1,439 (response: 78.1%) agreed to participate in the study. Out of these 1,439, some level of disability was reported by 67.89% (n = 977) of caregivers. Of these 977 children with disability, 48.01% (n = 692) had mild disability and 15.84% (n = 228) had moderate disability, while 3.96% (n = 57) had severe disability. The mean (SD) score for mild disability was 2.22±1.17, with a median of 2. The mean and median for moderate disability was 5.26±3.28 and 4 (IQR:3-6), and for severe disability was 14.23±9.51 and 12 (IQR:6-22). The most common disabilities reported were depression (54.83%) and anxiety (50.87%). Statistically significant association was found for completion of immunization status and school enrollment when controlled for a child's age, sex, having a primary caregiver, age of mother at child's birth, family system, family size and household wealth quintile.

conclusionThis study suggests association between incomplete immunization status and school enrollment for children with disability. These are areas for further exploration to ensure inclusive health and inclusive education of children with disabilities in Uganda.

Indexed as

Children with DisabilitiesCaregiversChildCross-Sectional StudiesFamily CharacteristicsHumansUganda

Identifiers

PMID35427403
PMCPMC9012358

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.