Health related quality of life of patients undergoing in-centre hemodialysis in Rwanda: a cross sectional study
Bibliographic record
Abstract
BACKGROUND: There are few studies assessing the quality of life of patients with chronic and end stage kidney disease in sub-Saharan Africa. We aimed to describe the health-related quality of life (HRQOL) of patients undergoing in-centre maintenance hemodialysis in Rwanda using the KDQOL™-36 and determine sociodemographic and clinical factors associated with their quality of life. METHODS: We conducted a multicenter, cross-sectional study between September 2020 and July 2021. Patients over the age of 18 receiving maintenance in-centre hemodialysis for at least three months at the Rwandan tertiary hospitals were administered the KDQOL™-36 questionnaire to assess physical and mental health functioning, the effect, burden and symptoms and problem of kidney disease. Sociodemographic and clinical information was collected for all eligible patients. Using mixed effects linear regression models, we explored factors associated with overall KDQOL and its domains, while accounting for clustering of patients within hemodialysis centres. RESULTS: Eighty-nine eligible patients were included in the study. The majority of participants were younger than 60 years old (69.7%), male (66.3%), had comorbidities (91%), and 71.6% were categorized as level 3 on a 4 tier in-country poverty scale. All participants had health insurance coverage, with 67.4% bearing no out of pocket payments for hemodialysis. The median (IQR) quality of life score was 45.1 (29.4) for overall HRQOL, 35.0 (17.9) for PCS and 41.7 (17.7) for MCS. Symptoms and problem of kidney disease, effect of kidney disease, and burden of kidney disease scored 58.3 (43.8), 56.3 (18.8) and 18.8 (37.5), respectively. A notable difference of KDQOL scores between hemodialysis centres was observed. Overall KDQOL was associated with male sex (adjusted ß coefficient [aß]: 8.5, 95% confidence interval [CI]: 2.8, 14.3); being employed (aß: 8.2, 95% CI: 2.2, 14.3); dialysis vintage of 13-24 months (aß: 10.5, 95% CI: 3.6, 17.6), hemoglobin of 10-11 g/dl (aß: 7.3, 95% CI: 0.7, 13.7) and comorbidities (e.g., ≥ 3 comorbidities vs. none) (aß: -29.8, 95% CI: -41.5, -18.3). CONCLUSION: Patients on in-centre hemodialysis in Rwanda have reduced KDQOL scores, particularly in the burden of kidney disease and physical composite summary domains. Higher overall KDQOL mean score was associated with male sex, being employed, and dialysis vintage of 13-24 months, hemoglobin of 10-11 g/dl and absence of comorbidities. The majority of patients receiving in-centre hemodialysis have higher socioeconomic status reflecting the social and financial constraints to access and maintain dialysis in resource limited settings.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".