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Record W4406360129 · doi:10.1016/j.ssmhs.2025.100053

The role of universal health coverage in secondary prevention: A case study of Ghana’s National Health Insurance Scheme and early-onset hypertension

2025· article· en· W4406360129 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSSM - Health Systems · 2025
Typearticle
Languageen
FieldHealth Professions
TopicGlobal Health Care Issues
Canadian institutionsInstitute of Health Economics
Fundersnot available
KeywordsNational health insuranceHealth insuranceScheme (mathematics)MedicineEconomic growthEnvironmental healthBusinessPolitical scienceGerontologyEconomicsHealth care

Abstract

fetched live from OpenAlex

Launched in 2003, Ghana’s National Health Insurance Scheme (NHIS) was a move towards Universal Health Coverage. There is a dearth of studies that have since investigated the effect of the scheme on non-communicable diseases (NCDs) like hypertension. While a major cause of mortality and morbidity, hypertension remains mostly undiagnosed in Ghana. Secondary prevention comprising early detection and prompt treatment is, hence, important in reducing disease burden. This study assessed the association between active NHIS membership and the likelihood of having early-onset hypertension detected and treated. A cross-sectional analysis of the 2014 Ghana Demographic and Health Survey (male dataset) was conducted. Unadjusted analysis used binary logistic regression with active NHIS membership as the independent variable and detection of early-onset hypertension as the dependent variable. Early-onset hypertension was defined as the onset of hypertension at 55 years or younger. Covariates for the adjusted regression models were age, BMI, smoking status, place of residence, wealth, and education level. The association between membership and treatment was also assessed. Unadjusted and adjusted results showed that the odds of early-onset hypertension being detected in participants with active NHIS membership were respectively 2.4 (95 % CI:1.56 – 3.59, p = 0.000) and 2.2 (95 % CI 1.43 – 3.24, p = 0.000) that of those without active membership. There was no significant association between membership and treatment. This study suggests that NHIS membership may play a beneficial role in the secondary prevention of NCDs in Ghana. Further research is, nevertheless, needed to understand how membership, NCDs, and other contextual factors are interrelated. • UHC in Ghana may be associated with increased detection of hypertension. • The association between UHC and treatment and control of hypertension is inconclusive. • UHC may play a role in the secondary prevention of non-communicable diseases in sub-Saharan Africa.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.314
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.042
GPT teacher head0.414
Teacher spread0.372 · 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