Evidence map›Paper›PMID 38356654›Full record

ArticleFrontiers in public health2023

Using an innovative family-centered evidence toolkit to improve the livelihood of people with disabilities in Bamenda (Cameroon): a mixed-method study.

Mirabel Nain Yuh, Gloria Akah Ndum Okwen, Rigobert Hanny Pambe Miong, Nicola Luigi Bragazzi, Jude Dzevela Kong, Zahra Movahedi Nia, Tetamiyaka Tezok Kinlabel, Okwen Patrick Mbah

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2023. 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
1.3field-weighted citation impact, top 23% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 4 countries.

Mirabel Nain YuhEffective Basic Services (eBASE) Africa, Bamenda, Cameroon.
Gloria Akah Ndum OkwenEffective Basic Services (eBASE) Africa, Bamenda, Cameroon.
Rigobert Hanny Pambe MiongEffective Basic Services (eBASE) Africa, Bamenda, Cameroon.
Nicola Luigi BragazziAfrica Evidence Network (AEN), Johannesburg, South Africa.
Jude Dzevela KongEffective Basic Services (eBASE) Africa, Bamenda, Cameroon.
Zahra Movahedi NiaAfrica Evidence Network (AEN), Johannesburg, South Africa.
Tetamiyaka Tezok KinlabelEffective Basic Services (eBASE) Africa, Bamenda, Cameroon.
Okwen Patrick MbahEffective Basic Services (eBASE) Africa, Bamenda, Cameroon.
University of Bamenda · CMLearning Partnership · CAArtificial Intelligence in Medicine (Canada) · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Most of the disability-related scholarly literature focuses on high-income countries, whereas there is a lack of data concerning challenges (barriers and obstacles) and opportunities (participatory research and community engagement) in the Global South. Moreover, many frameworks for interventions for people with disabilities (PWDs) have been designed for resource-rich contexts, and little is known about their translatability to low- and middle-income countries (LMICs). Objective: The main objective of this study was to design and pilot an interventional approach based on an innovative framework aimed at improving the livelihood of PWDs in LMICs. Methodology: The present mixed-method study was conducted in Bamenda, North-West Region of Cameroon, through an intervention of household visits by community health workers using innovation and best practices informed by a systematic literature review and embedded into an evidence toolkit called the eBASE Family-Centered Evidence Toolkit for Disabilities (EFCETD), adapted from the WHO matrix and consisting of 43 questions across five categories (health, education, social wellbeing, empowerment, and livelihood). Out of 56 PWDs identified, 30 were randomly sampled, with an attrition of four participants. Three datasets (baseline, qualitative, and quantitative) were collected. The Washington Group tool, exploring the type of disability, gender, how long one has had the disability, their facility situation coupled with their coping strategies, and the context of livelihood, was used to design the questionnaire for baseline data collection. Qualitative data were collected through key informant interviews and focus group discussions analyzed with MAXQDA, while quantitative data were collected through the EFCETD and analyzed by means of descriptive statistics. Results: In total, 69.2% of PWDs were female individuals. Many PWDs were aged 10-20 years (57% of the sample size). Physical/motor disability was the most common type of disability recorded (84.6%). The mean percentile for education increased from 29.9% during the first visit to 70.2% during the last visit, while the mean percentile for health increased from 65.4 to 78.7% and the mean percentile for social wellbeing moved from 73.1 to 84.9%. The livelihood and empowerment standards increased from 16.3 to 37.2% and from 27.7 to 65.8%, respectively. Overall, the temporal trend was statistically significant ( Conclusion: PWDs faced many endeavors for sustainability and challenges resulting from a lack of inclusive policies and practices, leading to their exclusion from education, employment, and healthcare. Using implementation science approaches could bridge the gap and make policies and practices more effective.

Indexed as

Motor DisordersPersons with DisabilitiesAdolescentCameroonChildEmploymentFemaleHumansIncomeMaleSystematic Reviews as TopicYoung Adultdisabilityevidence ecosystemevidence portalsfinancial instabilityimproving livelihoodinclusive policiesincome-generating activitiesinnovation and best practices

Identifiers

PMID38356654
PMCPMC10864501
OpenAlexW4391397850

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.