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Childhood disability in Malawi: a population based assessment using the key informant method

Overview of attention for article published in BMC Pediatrics, November 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

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1 news outlet
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5 X users

Citations

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27 Dimensions

Readers on

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202 Mendeley
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Title
Childhood disability in Malawi: a population based assessment using the key informant method
Published in
BMC Pediatrics, November 2017
DOI 10.1186/s12887-017-0948-z
Pubmed ID
Authors

Myroslava Tataryn, Sarah Polack, Linda Chokotho, Wakisa Mulwafu, Petros Kayange, Lena Morgon Banks, Christiane Noe, Chris Lavy, Hannah Kuper

Abstract

Epidemiological data on childhood disability are lacking in Low and Middle Income countries (LMICs) such as Malawi, hampering effective service planning and advocacy. The Key Informant Method (KIM) is an innovative, cost-effective method for generating population data on the prevalence and causes of impairment in children. The aim of this study was to use the Key Informant Method to estimate the prevalence of moderate/severe, hearing, vision and physical impairments, intellectual impairments and epilepsy in children in two districts in Malawi and to estimate the associated need for rehabilitation and other services. Five hundred key informants (KIs) were trained to identify children in their communities who may have the impairment types included in this study. Identified children were invited to attend a screening camp where they underwent assessment by medical professionals for moderate/severe hearing, vision and physical impairments, intellectual impairments and epilepsy. Approximately 15,000 children were identified by KIs as potentially having an impairment of whom 7220 (48%) attended a screening camp. The estimated prevalence of impairments/epilepsy was 17.3/1000 children (95% CI: 16.9-17.7). Physical impairment (39%) was the commonest impairment type followed by hearing impairment (27%), intellectual impairment (26%), epilepsy (22%) and vision impairment (4%). Approximately 2100 children per million population could benefit from physiotherapy and occupational therapy and 300 per million are in need of a wheelchair. An estimated 1800 children per million population have hearing impairment caused by conditions that could be prevented or treated through basic primary ear care. Corneal opacity was the leading cause of vision impairment. Only 50% of children with suspected epilepsy were receiving medication. The majority (73%) of children were attending school, but attendance varied by impairment type and was lowest among children with multiple impairments (38%). Using the KIM this study identified more than 2500 children with impairments in two districts of Malawi. As well as providing data on child disability, rehabilitation and referral service needs which can be used to plan and advocate for appropriate services and interventions, this method study also has an important capacity building and disability awareness raising component.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 202 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 202 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 34 17%
Student > Bachelor 19 9%
Researcher 18 9%
Student > Postgraduate 17 8%
Student > Ph. D. Student 10 5%
Other 35 17%
Unknown 69 34%
Readers by discipline Count As %
Medicine and Dentistry 51 25%
Nursing and Health Professions 26 13%
Social Sciences 13 6%
Neuroscience 6 3%
Computer Science 6 3%
Other 24 12%
Unknown 76 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 26 November 2023.
All research outputs
#2,938,605
of 24,875,286 outputs
Outputs from BMC Pediatrics
#426
of 3,340 outputs
Outputs of similar age
#62,059
of 450,082 outputs
Outputs of similar age from BMC Pediatrics
#5
of 26 outputs
Altmetric has tracked 24,875,286 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,340 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. This one has done well, scoring higher than 87% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 450,082 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.