The Quality Of Life of Patients with Chronic Kidney Disease who Undergo Hemodialysis in RSUD Cilacap
Bibliographic record
Abstract
Chronic Kidney Disease (CKD) is one of the mayor health problems in the worldwide. The incidence of CKD continously increase every year, including in Indonesia. Hemodialysis (HD) is the most widely used process of kidney function replacement in Indonesia, including in RSUD Cilacap. This research aim is to study the quality of life (QoL) of CKD patients undergo hemodialysis in RSUD Cilacap using analytic observational design with cross sectional approach. The sampling was carried out using purposive sampling technique. The quality of life of patients was assessed based on WHOQoL-BREF questionnaire consisting of 4 domains i.e., physical, psychological, social relationships, and environment. Other aspects i.e., the CKD causes and therapy adherence were also analyzed. This research employs a descriptive design. The study conducted was univariate to ascertain the distribution of respondent characteristics, which was utilized to evaluate the variance in the quality of life domain among haemodialysis patients. Result showed that hypertension was the main causes of CKD at RSUD Cilacap (59%) beside diabetic mellitus (17%). Before HD, the blood pressure of all patients were in stage 1 hypertension condition with systole: 148.67±29.24 mmHg and dyastole: 80.10±5.47 mmHg. Result of WHOQoL-BREF questionnaire analyses, showed that none of the four domains meet the criteria of good QoL. Generally, based on this data, it can be said that the QoL of CKD patients at RSUD Cilacap were poor categories with score for all domains and a total score (48.96±7.95) below the normal rate. Therapy of hypertension condition of patients before HD with furosemide alone, furosemide+clonidine, and or furosemide+valsartan, could maintain the blood pressure of patients in target value i.e, <140/90 mmHg. Based on those data, it can be concluded that compliance of the patients are important in the improving of QoL of CKD patients who undergo HD in RSUD Cilacap..
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".