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Record W3010548438 · doi:10.1186/s12913-019-4822-6

Barriers and facilitators to healthcare access for children with disabilities in low and middle income sub-Saharan African countries: a scoping review

2020· review· en· W3010548438 on OpenAlexafffund
Molalign Belay Adugna, Fatima Nabbouh, Selvia Shehata, Setareh Ghahari

Bibliographic record

VenueBMC Health Services Research · 2020
Typereview
Languageen
FieldSocial Sciences
TopicDisability Rights and Representation
Canadian institutionsQueen's University
FundersQueen's University
KeywordsNursing researchHealth informaticsHealth administrationMedicinePublic healthLow and middle income countriesHealth careHealth services researchNursingQuality of Life ResearchLow incomeDeveloping countryFamily medicineEconomic growthSocioeconomicsSociology

Abstract

fetched live from OpenAlex

BACKGROUND: Children with disabilities (CwDs) make up around 150 million of the billion people with disabilities in the world. The Sub-Saharan African countries have a large number of CwDs who have limited access to healthcare and rehabilitation care. This, combined with chronic poverty, low education, and inadequately trained healthcare professionals, substantially lowers these children's quality of life. The main objective of this scoping review was to discover the barriers and facilitators to healthcare access for CwDs in selected low to middle income Sub-Saharan African countries. As African countries significantly vary in socioeconomic status, we only focused on countries in Sub-Saharan Africa who allocated less than $50/person to healthcare. METHODS: A broad and iterative search strategy using multiple sources and databases including CINAHL, Medline, Global Health, and Embase were utilized. Using a comprehensive search strategy, 704 articles were generated. After removal of the duplicates, 466 of them were screened based on the study inclusion and exclusion criteria. After iterative reading and screening of these articles, a final 15 articles were included in this review. RESULTS: This scoping review shows that CwDs in the selected Sub-Saharan African countries face major barriers including stigma and negative attitudes, poverty and insufficient resources, inadequate policy implementations, physical inaccessibility, lack of transportation, lack of privacy, and inadequately trained healthcare professionals to deal with disability. Emotional and social support, including peer support for CwDs and caregivers, were identified as facilitators for better access to health services. CONCLUSIONS: There is limited access to healthcare services in the low and middle income Sub-Saharan African countries due to poverty, low education, inadequate healthcare systems, and shortage of healthcare professionals. It is evident that there are socioeconomic, cultural, and physical related impediments that affect CwDs' and their caregivers' access to the required healthcare services. Policy development, improved physical accessibility, public disability awareness, and parental support are some of the key facilitators to access healthcare services. The study highlights the importance of revisions to childhood disability and healthcare provisions policy and practice as well as sustainable rehabilitation programs. Further research is required to explore ways to improve experience of accessing health services.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.010
metaresearch head score (Gemma)0.047
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.015
Threshold uncertainty score0.054

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.047
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.004
Bibliometrics0.0120.013
Science and technology studies0.0020.001
Scholarly communication0.0050.004
Open science0.0020.002
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.141
GPT teacher head0.505
Teacher spread0.364 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations197
Published2020
Admission routes2
Has abstractyes

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