Evidence map›Paper›PMID 35090430›Full record

ArticleBMC pediatrics2022

The unmet need for treatment of children with musculoskeletal impairment in Malawi.

Leonard Banza Ngoie, Eva Dybvik, Geir Hallan, Jan-Erik Gjertsen, Nyengo Mkandawire, Carlos Varela, Sven Young

Open access · goldAbstract read
In one paragraph

Article in BMC pediatrics, 2022. 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
0.9field-weighted citation impact, top 28% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Epidemiology and Management of Pediatric Fractures in Malawi.Journal of the American Academy of Orthopaedic Surgeons. Global research & reviews · 2024
    Article
  2. Article
  3. Review
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

7 authors at 5 institutions in 3 countries.

Leonard Banza NgoieDepartment of Surgery, Kamuzu Central Hospital, P.O. Box 149, Lilongwe, Malawi. leonardbanza2014@gmail.com.
Eva DybvikThe Norwegian Arthroplasty Register, Haukeland University Hospital, Bergen, Norway.
Geir HallanDepartment of Clinical Medicine, University of Bergen, Bergen, Norway.
Jan-Erik GjertsenDepartment of Clinical Medicine, University of Bergen, Bergen, Norway.
Nyengo MkandawireDepartment of Surgery, College of Medicine, University of Malawi, Blantyre, Malawi.
Carlos VarelaDepartment of Surgery, Kamuzu Central Hospital, P.O. Box 149, Lilongwe, Malawi.
Sven YoungDepartment of Surgery, Kamuzu Central Hospital, P.O. Box 149, Lilongwe, Malawi.
Kamuzu Central Hospital · MWUniversity of Bergen · NOFlinders University · AUHaukeland University Hospital · NOUniversity of Malawi · MW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMore than a billion people globally are living with disability and the prevalence is likely to increase rapidly in the coming years in low- and middle-income countries (LMICs). The vast majority of those living with disability are children residing in LMICs. There is very little reliable data on the epidemiology of musculoskeletal impairments (MSIs) in children and even less is available for Malawi. Previous studies in Malawi on childhood disability and the impact of musculoskeletal impairment (MSI) on the lives of children have been done but on a small scale and have not used disability measurement tools designed for children. Therefore in this study, we aimed to estimate the MSI prevalence, causes, and the treatment need among children aged 16 years or less in Malawi.

methodsThis study was carried out as a national cross sectional survey. Clusters were selected across the whole country through probability proportional to size sampling with an urban/rural and demographic split that matched the national distribution of the population. Clusters were distributed around all 27-mainland districts of Malawi. Population of Malawi was 18.3 million from 2018 estimates, based on age categories we estimated that about 8.9 million were 16 years and younger. MSI diagnosis from our randomized sample was extrapolated to the population of Malawi, confidence limits was calculated using normal approximation.

resultsOf 3792 children aged 16 or less who were enumerated, 3648 (96.2%) were examined and 236 were confirmed to have MSI, giving a prevalence of MSI of 6.5% (CI 5.7-7.3). Extrapolated to the Malawian population this means as many as 576,000 (95% CI 505,000-647,000) children could be living with MSI in Malawi. Overall, 46% of MSIs were due to congenital causes, 34% were neurological in origin, 8.4% were due to trauma, 7.8% were acquired non-traumatic non-infective causes, and 3.4% were due to infection. We estimated a total number of 112,000 (80,000-145,000) children in need of Prostheses and Orthoses (P&O), 42,000 (22,000-61,000) in need of mobility aids (including 37,000 wheel chairs), 73,000 (47,000-99,000) in need of medication, 59,000 (35,000-82,000) in need of physical therapy, and 20,000 (6000-33,000) children in need of orthopaedic surgery. Low parents' educational level was one factor associated with an increased risk of MSI.

conclusionThis survey has uncovered a large burden of MSI among children aged 16 and under in Malawi. The burden of musculoskeletal impairment in Malawi is mostly unattended, revealing a need to scale up both P&O services, physical & occupational therapy, and surgical services in the country.

Indexed as

Persons with DisabilitiesAdolescentChildCross-Sectional StudiesHumansMalawiPrevalenceSurveys and QuestionnairesChildhood disabilityCluster randomized surveyMalawiMusculoskeletal impairment

Identifiers

PMID35090430
PMCPMC8796456
OpenAlexW4220995778

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.