Evidence map›Paper›PMID 38224051›Full record

ArticleGlobal health action2024

The Kenyan assistive technology ecosystem: a network analysis.

Emma M Smith, Stephanie Huff, Rose Bukania, Bernard Chiira, Catherine Holloway, Malcolm MacLachlan

Open access · goldAbstract read
In one paragraph

Article in Global health action, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
6.9field-weighted citation impact, top 4% of its field
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

0 citing papers in PubMed, 4 citations in OpenAlex.

No citing paper in PubMed yet.

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

6 authors at 4 institutions in 3 countries.

Emma M SmithAssisting Living and Learning Institute, Maynooth University, Maynooth, Ireland.ORCID 0000-0003-2541-5723
Stephanie HuffAssisting Living and Learning Institute, Maynooth University, Maynooth, Ireland.ORCID 0000-0002-8832-9526
Rose BukaniaMinistry of Labour and Social Protection, Government of Kenya, Nairobi, Kenya.
Bernard ChiiraGlobal Disability Innovation Hub, University College London, Nairobi, Kenya.
Catherine HollowayGlobal Disability Innovation Hub, University College London, London, UK.ORCID 0000-0002-1660-7785
Malcolm MacLachlanAssisting Living and Learning Institute, Maynooth University, Maynooth, Ireland.ORCID 0000-0001-6672-9206
National University of Ireland, Maynooth · IEKenya School of Government · KEUK Research and Innovation · GBUniversity College London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAssistive technology is central to the realization of the rights of persons with disabilities. However, there remains limited access to assistive technology throughout much of the world, with particularly poor access in lower- and middle-income countries. Evaluating stakeholder engagement in assistive technology networks has been used as a successful strategy to understand and address gaps in the assistive technology ecosystem.

objectiveThe objective of this research was to provide an overview of the Kenyan Assistive Technology Ecosystem, including available assistive products and related services, and an understanding of the nature and strength of relationships between stakeholders.

methodsIn this study, we employed an online qualitative stakeholder survey (2021) with representatives of organizations involved in assistive technology in Kenya.

resultsThe assistive technology network in Kenya is distributed, with Government Ministries and Agencies and Organizations of persons with disabilities central to the network. The strength of relationships is concentrated on awareness and communication, with fewer organizations actively collaborating. Innovation training organizations are not yet well integrated into the network.

conclusionsImproving access to assistive technology in Kenya will benefit from greater collaboration amongst all assistive technology stakeholders.

Indexed as

Persons with DisabilitiesSelf-Help DevicesCommunicationEcosystemHumansKenyaAssistive productsdisabilitykenyanetwork analysisself-help devices

Identifiers

PMID38224051
PMCPMC10791081
OpenAlexW4390885594

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.