ArticlePLOS global public health2026
Morbidity burden and predictors of hospitalization among unaccompanied migrants and persons prone to statelessness in Ghana.
Article in PLOS global public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed.
- Multivariable regression modelling of structural, intermediary and demographic determinants of health literacy: evidence from unaccompanied migrants and statelessness-prone individuals in Ghana.Journal of health, population, and nutrition · 2026Article
- Psychological distress among unaccompanied migrants and persons prone to statelessness in Ghana: prevalence and associated factors from a community-based cross-sectional study.BMJ public health · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A proportion of global migration involves individuals migrating without parental or legal guardianship and those who face varied barriers to citizenship. Yet empirical evidence on their morbidity burdens and hospitalization particularly in Ghana and similar context remains scarce. This limits capacity for informed policy, planning, and response strategies aligned with global health targets. This study examined the burden of communicable and non-communicable diseases (NCDs), and predictors of hospitalization among these vulnerable groups. A cross-sectional survey was conducted from March 2024 to May 2024 among 481 purposively selected unaccompanied migrants and persons prone to statelessness in the Greater Kumasi Metropolitan Area and the Awutu Senya East Municipal Area. Data were analyzed using descriptive statistics (frequency, and percentages) and complementary log-log regression in Stata 14.2. Statistical significance was set at p ≤ 0.05. The analyses revealed a higher prevalence of communicable diseases (23.3%) than NCDs (8.1%). Malaria (90%), flu/cold (30%), typhoid (27%), diabetes (33%) and asthma (21%) emerged as common health conditions with limited and condition-specific subgroup differences. Overall, 8.7% of respondents reported ever being hospitalized. Across models, frequent illness (Model 1: OR = 4.097, 95% CI: 2.056-8.163; Model 2: OR = 3.724, 95% CI: 1.830-7.576; Model 3: OR = 4.224, 95% CI: 2.002-8.913; all p < 0.001) and diagnosis with an NCD (Model 1: OR = 3.336, 95% CI: 1.611-6.906; Model 2: OR = 3.600, 95% CI: 1.737-7.460; Model 3: OR = 3.873, 95% CI: 1.861-8.058; all p ≤ 0.001) were consistently associated with higher odds of hospitalization. These findings offer contextually bounded insights highlighting that health vulnerability among these populations is manifested less through differential disease prevalence but more through recurrent illness and NCD diagnosis necessitating hospitalization. This underscores the need for early detection, continuous care, and effective outpatient NCD management.
Identifiers
What OpenQuestion holds
Registered trials
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.