HUBUNGAN SELFCARE DENGAN KUALITAS HIDUP PASIEN DIABETES MELLITUS DI WILAYAH KERJA PUSKESMAS RASIMAH AHMAD KOTA BUKITTINGGI TAHUN 2022
Bibliographic record
Abstract
Diabetes Mellitus (DM) is a group of metabolic diseases characterized by hyperglycemia that occurs due to abnormalities in insulin secretion, insulin action, or both. Quality of life of patients with diabetes mellitus on average have a poor quality of life due to physical changes caused by increased blood sugar levels. One way to improve the quality of life is good self-care. The purpose of this study was to identify the relationship between Selfcare and Quality of Life of Diabetes Mellitus Patients in the Work Area of Rasimah Ahmad Public Health Center, Bukittinggi City in 2022. This research method used quantitative research with a cross sectional design. The population of this study were all people with Diabetes Mellitus in the Work Area of the Rasimah Ahmad Health Center, Bukittinggi City in 2022 with a total sample of 110 people. The research instrument was a self-care questionnaire (SDSCA) and a quality-of-life questionnaire (DQOL). Analysis of the data using the Spearman-rank test with (p = 0.000 < 0.05). The results showed that there were 43 respondents (39.1%) with sufficient self-care category, and 46 respondents (41.8%) with moderate quality of life. The conclusion is that there is a relationship between self-care and the Quality of Life of Diabetes Mellitus Patients in the Work Area of the Rasimah Ahmad Public Health Center, Bukittinggi City in 2022. Based on the results of previous research, the authors realize that there are still many limitations and errors in this study. However, this research is expected to make a useful contribution. Keywords: Diabetes Mellitus, self care, quality of life Reading list: (2012-2022).
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.009 | 0.001 |
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".