Burden of mental health symptoms and perceptions of their management in in-centre hemodialysis care: a mixed methods study
Bibliographic record
Abstract
BACKGROUND: We aimed to describe (1) depressive and anxiety symptom burdens reported by adults on in-centre hemodialysis in Northern Alberta, Canada and (2) patients' and nurses' perceptions of managing such symptoms using routine patient-reported outcome measures (PROMs). METHODS: A longitudinal mixed methods approach was employed. Cluster randomized controlled trial data exposed the prevalence of positive screens (scores ≥ 3) for depressive (PHQ-2) and anxiety (GAD-2) symptoms. A descriptive qualitative approach was used to understand patients' and nurses' perceptions of managing these symptoms using the ESAS-r: Renal and EQ-5D-5L. Using purposeful sampling, patients and nurses were invited for interviews. Field notes were documented from 6 dialysis unit observations. Patients' responses to open-ended survey questions and nurses' electronic chart notes related to mental health were compiled. Thematic and content analyses were used. RESULTS: Average age of patients (n = 408) was 64.0 years (SD 15.4), 57% were male, and 87% were not working; 29% screened positive for depressive symptoms, 21% for anxiety symptoms, and 16% for both. From patient (n = 10) and nurse (n = 8) interviews, unit observations, patient survey responses (n = 779) and nurses' chart notes (n = 84), we discerned that PROMs (ESAS-r: Renal/EQ-5D-5L) had the potential to identify and prompt management of mental health concerns. However, opinions differed about whether mental health was within kidney care scope. Nonetheless, participants agreed there was a lack of mental health resources. CONCLUSIONS: Prevalence of depressive and anxiety symptoms aligned with existing literature. Tensions regarding mental health management highlight the need for systemic decisions about how routine PROM use, including mental health assessment, may be optimized to meet patients' needs.
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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 | 0.014 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".