The Absurd Consciousness of Those Lying in a Health Care System About to Collapse
Bibliographic record
Abstract
INTRODUCTION: The healthcare sector crisis is a reality affecting countries all over the world. In order to mitigate it, different cost-effective measures, such as promotion of health and disease prevention, have been implemented. However, several variables may limit these measures, among which are patients’ responsibilities. Objectives: In this study patient behavior (disease knowledge and self-care practices) as a determinant factors in the healthcare system crisis was analyzed in a group of hypertensive patients. METHODS: This was a descriptive correlational cross-sectional study in which 185 patients diagnosed with high blood pressure attending the high blood pressure program at three different primary health care locations in Cartagena, Colombia 2017. A questionnaire, structured into three components: 1) sociodemographic characteristics, 2) disease knowledge, and 3) self-care practices and lifestyle, was administered to participating individuals. The Analysis of the information was made in SPSS version 22. RESULTS: The average hypertensive disease knowledge was high (60.5%). Self-care practices were rated as mediocre (73.5%) or poor (24.3%). A significant correlation establishing that with increased level of disease knowledge, self-care practices improve by 11.5% (p<0.05). CONCLUSION: Patient behavior constitutes a determinant factor in the health care system crisis, since although hypertensive patients possess good disease knowledge, they do not put it into practice, constituting an absurd attitude taking into account that it’s related to their wellbeing, and it turns into an attack on a health care system that is about to collapse.
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 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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.007 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".