Evidence map›Paper›PMID 38322752›Full record

ArticleAfrican journal of disability2024

Prevalence and levels of disability post road traffic orthopaedic injuries in Rwanda.

J C Allen Ingabire, Aimee Stewart, Jean Baptiste Sagahutu, Gerard Urimubenshi, Georges Bucyibaruta, Sonti Pilusa, Carine Uwakunda, Didace Mugisha, Leontine Ingabire, David Tumusiime

Open access · goldAbstract read
In one paragraph

Article in African journal of disability, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
9.7field-weighted citation impact, top 2% 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

8 citing papers in PubMed, 14 citations in OpenAlex.

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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 at 5 institutions in 3 countries.

J C Allen IngabireDepartment of Surgery, College of Medicine and Health Sciences, University of Rwanda, Kigali, Rwanda.ORCID https://orcid.org/0000-0001-8636-6473
Aimee StewartDepartment of Physiotherapy, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.ORCID https://orcid.org/0000-0001-8333-7220
Jean Baptiste SagahutuDepartment of Physiotherapy, College of Medicine and Health Sciences, University of Rwanda,Kigali, Rwanda.ORCID https://orcid.org/0000-0002-1626-1497
Gerard UrimubenshiDepartment of Physiotherapy, College of Medicine and Health Sciences, University of Rwanda,Kigali, Rwanda.ORCID https://orcid.org/0000-0002-0319-2912
Georges BucyibarutaDepartment of Epidemiology and Biostatistics, Faculty of Medicine, Imperial College London, United Kingdom.ORCID https://orcid.org/0000-0002-7563-6949
Sonti PilusaDepartment of Physiotherapy, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.ORCID https://orcid.org/0000-0003-0606-9669
Carine UwakundaDepartment of Surgery, Kibagabaga Level II Teaching Hospital, Kigali, Rwanda.ORCID https://orcid.org/0000-0002-0800-9769
Didace MugishaDepartment of Environmental, College of Medicine and Health Sciences, University of Rwanda, Kigali, Rwanda.ORCID https://orcid.org/0000-0002-9164-5351
Leontine IngabireDepartment of Nursing, College of Medicine and Health Sciences, University of Rwanda, Kigali, Rwanda.ORCID https://orcid.org/0000-0002-9796-2470
David TumusiimeDepartment of Physiotherapy, College of Medicine and Health Sciences, University of Rwanda,Kigali, Rwanda.ORCID https://orcid.org/0000-0003-3855-6795
University of Rwanda · RWCentre Hospitalier Universitaire de Kigali · RWUniversity of the Witwatersrand · ZAImperial College London · GBRwanda Biomedical Center · RW

Funding

Wellcome Trust
6 · The paper itself

Abstract

Background: Prolonged disability resulting from road traffic injuries (RTIs) contributes significantly to morbidity and disease burden. A good understanding of the prevalence and the level of disability of orthopaedic injuries in developing countries is crucial for improvement; however, such data are currently lacking in Rwanda. Objectives: To determine the prevalence and levels of disability of 2 years post-road traffic orthopaedic injuries in Rwanda. Method: A multicentre, cross-sectional study from five Rwandan referral hospitals of 368 adult RTI victims' sustained from accidents in 2019. Between 02 June 2022, and 31 August 2022, two years after the injury, participants completed the World Health Organization Disability Assessment Schedule (WHODAS 2.0) Questionnaire for the degree of impairment and the Upper Extremity Functional Scale and Lower-Extremity Functional Scale forms for limb functional evaluation. Descriptive, inferential statistics Chi-square and multinomial regression models were analysed using R Studio. Results: The study's mean age of the RTOI victims was 37.5 (±11.26) years, with a sex ratio M: F:3: 1. The prevalence of disability following road traffic orthopedic injury (RTOI) after 2 years was 36.14%, with victims having WHODAS score > 25.0% and 36.31% were still unable to return to their usual activities. Age group, Severe Kampala Trauma Score and lack of rehabilitation contributed to disability. The most affected WHODAS domains were participation in society (33%) and life activities (28%). Conclusion: The prevalence and levels of disability because of RTOI in Rwanda are high, with mobility and participation in life being more affected than other WHODAS domains. Middle-aged and socio-economically underprivileged persons are the most affected. Contribution: This study showed that a good rehabilitation approach and economic support for the RTI victims would decrease their disabilities in Rwanda.

Indexed as

disabilityprevalencerehabilitationroad traffic injuriesWHODAS 2.0

Identifiers

PMID38322752
PMCPMC10844983
OpenAlexW4390985040

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.