THE SIGNIFICANCE OF MULTIDISCIPLINARY APPROACH FOR THE INCREASING IN PATIENTS WITH DIABETES MELLITUS 2 TYPE QUALITY OF LIFE LEVEL
Bibliographic record
Abstract
Introduction. Diabetes mellitus 2 type has become a global health problem and is by far one of the most common chronic diseases, so there is an urgent need to provide high quality medical and social care to this patient population. It is known that this group of patients is characterized by a number of specific features that distinguish them and create difficulties for physicians in the treatment process. Purpose. Study has been devoted to the comprehensive assessment of affecting factors on the quality of life of patients with type 2 Diabetes Mellitus (T2DM) in relationship with their psychological status indicators and level of compliance. Materials and Methods. Study population consisted of T2DM (n=40) equivalented by the indicators of age, body mass index, blood pressure, laboratory level of blood glucose and glycated hemoglobin (HbA1c). All patients signed a voluntary informed consent before the study. Study data has been collected using informed patients form and 6 validated psychometric scales: Chaban Quality of Life Scale (CQLS), Medication Compliance Scale (MCS), Toronto Alexithymia Scale (TAS-20), Dysfunctional Attitudes Scale (DAS), Depression, Anxiety and Stress Scale (DASS-21)) and Holmes and Rahe Stress Scale (HRSS). Glycemic control has been based on HbA1c results and blood glucose level. Results. Statistically significant difference has been found between the groups of the patients with high, middle and low level of their commitment to therapy according to MCS results. A significant correlation has been found between the following indicators: HbA1c and body mass index of patients with T2DM (p = .19; r = .368) and presence of alexithymia (p = .039; r = - .328). Depending on the level of quality of life with numeral scores of results with other scales: MCS (p = .361; r = .022); DAS (p = .027; r = - .350), stress level (DASS - 21) (p = .038; r = - .339), depression (DASS - 21) (p = .002; r = -. 471) and HRSS (p = .006; r = - .425). Conclusion: Psychological indicators identified by results of research such as, level of: compliance, cognitive distortions, depression, stress resistance and social adaptation — affected quality of life of T2DM patients, as well as indicators of alexithymia, anxiety, and quality of life affected the level of their commitment to treatment. Patients with low level of compliance and quality of life had the increased risk of treatment non-efficiency as a result. Therefore, multidisciplinary approach in the treatment of each individual patient, would potentially improving the adherence and effectiveness of T2DM treatment
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.000 | 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".