Mental health and addiction service utilization among people living with chronic kidney disease
Bibliographic record
Abstract
BACKGROUND: Mental health problems, particularly anxiety and depression, are common in patients with chronic kidney disease (CKD) and negatively impact quality of life, treatment adherence and mortality. However, the degree to which mental health and addiction services are utilized by those with CKD is unknown. We examined the history of mental health and addiction service use of individuals across levels of kidney function. METHODS: We performed a population-based cross-sectional study using linked healthcare databases from Ontario, Canada from 2009 to 2017. We abstracted the prevalence of individuals with mental health and addiction service use within the previous 3 years across levels of kidney function [estimated glomerular filtration rate (eGFR) ≥60, 45 to <60, 30 to <45, 15 to <30, <15 ml/min/1.73 m2 and maintenance dialysis]. We calculated prevalence ratios (PRs) to compare prevalence across kidney function strata, while adjusting for age, sex, year of cohort entry, urban versus rural location, area-level marginalization and Charlson comorbidity index. RESULTS: Of 5 956 589 adults, 9% (n = 534 605) had an eGFR <60 ml/min/1.73 m2 or were receiving maintenance dialysis. Fewer individuals with an eGFR <60 ml/min/1.73 m2 had a history of any mental health and addiction service utilization (crude prevalence range 28-31%) compared with individuals with an eGFR ≥60 ml/min/1.73 m2 (35%). Compared with an eGFR ≥60 ml/min/1.73 m2, the lowest prevalence of individuals with any mental health and addiction service utilization was among those with an eGFR of 15 to <30 ml/min/1.73 m2 {adjusted PR 0.86 [95% confidence interval (CI) 0.85 to 0.88]}, an eGFR <15 ml/min/1.73 m2 [adjusted PR 0.81 (95% CI 0.76-0.86)] and those receiving maintenance dialysis [adjusted PR 0.83 (95% CI 0.81-0.84)]. Less use of outpatient services accounted for differences in service utilization. CONCLUSIONS: Mental health and addiction service utilization is common but less so in individuals with advanced CKD in Ontario, Canada.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".