Health-related quality of life among adults living with chronic non-communicable diseases in the Ho Municipality of Ghana: a health facility-based cross-sectional study
Bibliographic record
Abstract
BACKGROUND: Morbidity and mortality rates from chronic non-communicable diseases (CNCDs) are increasing globally. In Ghana, CNCDs account for 43% of all deaths. We examined the Health-Related Quality of Life (HRQoL) and associated factors among adults living with CNCDs in the Ho Municipality. METHODS: This was a health facility-based descriptive cross-sectional study among 432 adults living with cancer, diabetes, chronic kidney disease (CKD), stroke, and hypertension in the Ho Municipality of Ghana. The study adopted the EQ-5D-5L instrument and the Ugandan value set to compute respondents' HRQoL index. Quantile regression models were used in analysing the data with STATA v17.0 at 95% Confidence Intervals, and statistical significance set at p < 0.05. RESULTS: 63.7% of our respondents reported having a problem across the five dimensions of the EQ-5D-5L. The most problems were reported in the dimensions "Anxiety/Depression" (94.4%) and "Pain/Discomfort" (91.4%). Divorced/separated respondents (aOR=-0.52, 95% CI=-0.71, -0.33) and those living with comorbidities (aOR=-0.95, 95% CI=-0.15, -0.04,) were less likely to report high index for HRQoL. However, respondents diagnosed with CKD (aOR = 0.26, 95% CI = 0.10, 0.42), diabetes (aOR = 0.28, 95% CI = 0.11, 0.45), hypertension (aOR = 0.35, 95% CI = 0.19, 0.50) and stroke (aOR = 0.26, 95% CI = 0.11, 0.40) were more likely to report higher index than those diagnosed with cancer. CONCLUSION: Our study revealed elevated proportions of reported problems in the "Anxiety/Depression" and "Pain/Discomfort" dimensions, indicating noteworthy concerns in these areas of HRQoL. The prevalent issues reported across HRQoL dimensions are cause for concern, posing potential exacerbation of health conditions. We advocate for collaborative efforts from the Ministry of Health, Ghana Health Service, and relevant stakeholders to scrutinize and implement interventions targeting social and psychological factors. These efforts should specifically address contributors to diminished health-related quality of life, particularly among less educated, divorced, and comorbid individuals.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".