Evidence map›Paper›PMID 41136996›Full record

ArticleInternational journal for equity in health2025

Co-designing the disability awareness toolkit for disability-inclusive and accessible health and post-GBV clinical services in South Africa.

Jill Hanass-Hancock, Thakasile Ndlovu, Samantha Willan, Nolufefe Zulu, Siqiniseko Mhlongo, Annah Mabunda, Thesandree Padayachee, Jacques Lloyd, Thobeka Mthethwa, Bradley Carpenter

Abstract read
In one paragraph

Article in International journal for equity in health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

10 authors.

Jill Hanass-HancockSouth African Medical Research Council, Gender and Health Research Unit, Durban, South Africa. Jill.hanasshancock@mrc.ac.za.
Thakasile NdlovuSouth African Medical Research Council, Gender and Health Research Unit, Durban, South Africa.
Samantha WillanSouth African Medical Research Council, Gender and Health Research Unit, Durban, South Africa.
Nolufefe ZuluSouth African Medical Research Council, Gender and Health Research Unit, Durban, South Africa.
Siqiniseko MhlongoSouth African Medical Research Council, Gender and Health Research Unit, Durban, South Africa.
Annah MabundaSouth Africa Department of Health, Pretoria, South Africa.
Thesandree PadayacheeInclusive Practise Africa, University of Cape Town, Cape Town, South Africa.
Jacques LloydAfrique Rehabilitation and Research Consultants, Cape Town, South Africa.
Thobeka MthethwaSouth African Disability Alliance, Durban, South Africa.
Bradley CarpenterSouth African Medical Research Council, Gender and Health Research Unit, Durban, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPeople with disabilities face profound health disparities and systemic barriers to healthcare access, especially in low- and middle-income countries. These barriers range from inaccessible infrastructure and communication formats to negative attitudes and limited training among healthcare workers. This paper focuses on the co-design of the Disability Awareness Toolkit (DAT), a practical, contextually grounded toolkit to promote inclusion and accessibility in health and post-GBV clinical services in South Africa.

methodThe development of the DAT followed the co-design framework established by Birds et al., structured around two design cycles. The first cycle focused on creating the Disability Awareness Checklist (DAC) and its accompanying automated reporting system. The second cycle involved the development of the DAC's implementation support tools, including an intervention menu and a training component. Each cycle incorporated (a) pre-design activities such as literature and document reviews and key interest holder mappings, (b) co-design activities such as workshops with a diverse group of interest holders-including persons with disabilities-alongside DAC facilitator training, and pilot testing in healthcare settings, and (c) post-design adaptation. Feedback was collected using accessible, structured formats to ensure clarity and inclusivity. Any conflicting feedback was resolved through follow-up discussions and consensus-building, reinforcing the participatory and inclusive nature of the process.

resultsThe iterative co-design process was informed by the lived experiences of healthcare users and providers, revealing the importance of local relevance, flexibility, and power-sensitive collaboration. The final DAT consists of a comprehensive toolkit: the DAC with 53 core elements, automated reporting tools, a practical intervention menu tailored to local contexts, and an integrated training approach. The consultative process led to formally adopting appreciative inquiry as a key facilitation technique, helping participants better identify actionable, locally feasible solutions. The combination of the tool design and appreciative inquiry showed promise to create awareness and initiate change.

conclusionThe DAT's evolution highlights the power of co-design in addressing healthcare inequalities. It demonstrates how inclusive, locally grounded, and flexible design processes can produce meaningful quality assurance tools that reflect the diverse realities of service users and providers in unequal contexts.

Indexed as

AwarenessHealth Services AccessibilityPersons with DisabilitiesHealth PersonnelHumansSouth AfricaAccessibilityAuditDisabilityInclusionPrimary healthSouth Africa

Identifiers

PMID41136996
PMCPMC12553265

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.