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Innovative data use: can we learn more from what is already available?

DANEMAYER, Jamie
September 2023

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A short talk given at the Disability Innovation Summit: Inclusive Interactions conference organised by GDI hub on 13 Sep 2023.

The use of published datasets on the prevalence of disability is reviewed. The numbers of datasets and their harmonisation is described and the advantages, limitations and opportunities for use are outlined. 

Seeking information about assistive technology: Exploring current practices, challenges, and the need for smarter systems

DANEMAYER, Jamie
HOLLOWAY, Cathy
CHO, Youngjun
BERTHOUZE, Nadia
SINGH, Aneesha
BHOT, William
DIXON, Ollie
GROBELNIK, Marko
SHAWE-TAYLOR, John
September 2023

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Assistive technology (AT) information networks are insular among stakeholder groups, causing unequal access to information. Participants often cited fragmented international marketplaces as a barrier and valued info-sharing across industries. Current searches produce biased results in marketplaces influenced by commercial interests and high-income contexts. Smart features could facilitate searching, update centralised data sources, and disseminate information more inclusively.

 

International Journal of Human - Computer Studies, Volume 177, September 2023, 103078

https://doi.org/10.1016/j.ijhcs.2023.103078

The global birth prevalence of clubfoot: a systematic review and meta-analysis

SMYTHE, Tracey
ROTENBURG, Sarah
LAVY, Chris
August 2023

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Estimates of the birth prevalence of clubfoot in low and middle income settings range from 0.5 to 2 per 1000 births. However, there is currently no estimate of global birth prevalence of clubfoot.

A systematic review of studies was carried out reporting the birth prevalence of clubfoot across all countries and regions worldwide in the last 10 years. Africa Wide Information, EMBASE, CINAHL, Global Health, LILACS and Medline databases were searched for relevant studies from January 1st 2012 to February 9th 2023. Pooled prevalence estimates were calculated using the inverse variance method, and a random effects model was applied to account for heterogeneity between studies.

 

eClinicalMedicine,  Vol 63 September, 2023

DOI:https://doi.org/10.1016/j.eclinm.2023.102178

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