Health‐related quality of life is maintained in hemodialysis patients receiving pharmaceutical care: A 2‐year randomized, controlled study
Bibliographic record
Abstract
End-stage renal disease and initiation of hemodialysis (HD) adversely affect health-related quality of life (HRQOL). There are currently no data evaluating the effect of pharmaceutical care (PC) on HRQOL in HD patients. HD patients were randomized to receive PC; one-on-one, in-depth medication reviews conducted by a clinical pharmacist or Standard of Care (SOC); and brief medication reviews conducted by dialysis nurses. The renal quality of life profile (RQLP) was administered at baseline and then at 1 and 2 years after study initiation. The RQLP is a 43-item questionnaire that has 5 dimensions: Eating/Drinking, Physical Activities, Leisure Time, Psychosocial Activities, and Impact of Treatment, where increasing scores reflect worsening of HRQOL. A total of 107 patients were enrolled (SOC: n=46; PC: n=61). Besides gender, there were no differences in the demographics or the baseline total RQLP scores. The mean+/-SD total RQLP scores at Year 1 were significantly worse in SOC compared with PC (88+/-31 vs. 71+/-34, respectively; P=0.03). Significant worsening of Eating and Drinking (5.9+/-3.3 vs. 4.4+/-3.1, respectively; P=0.04), Physical Activities (37+/-13.6 vs. 30+/-16.3, respectively; P=0.04), and Leisure Time scores (8.3+/-3.4 vs. 5.9+/-3.6, respectively; P=0.03) was also observed in the SOC group. After 2 years, only the SOC patients had worsening of Leisure Time (7.5+/-3.0 vs. 5.2+/-3.9, respectively; P=0.04). No other parameters were different between the groups after 2 years. These data indicate that patients who have clinical care provided by pharmacists do not have worsened HRQOL after 1 year and are able to maintain HRQOL for an additional year.
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.
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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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 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".