Knowledge, Attitude, and Self Care Practices Amongsts Patients WithType 2 Diabetes in Pakistan
Bibliographic record
Abstract
BACKGROUND: In this age, diabetes is one of the most prevalent, incurable diseases present. The aim of this study was to assess knowledge, attitude and self-care practicesrelated to diabetes in an urban population in Pakistan. METHODS: A cross sectional survey to assess the knowledge and practices of people with diabetes was conducted in general urbanpopulace. People with diabetes were interviewed using a structured questionnaire from which data was collected. A total of 139 diabetics were included into the study. Basic knowledge about diabetes and its complications were assessed as well as the frequency of practices such as keeping a blood glucometer at home and checking blood sugar with it. RESULTS: A total of n=139 participants fulfilling the inclusion criteria were recruited in the survey. Only 18.7% had knowledge regarding the complications of diabetes mellitus. Only 8.6% of participants checked their blood glucose levels at homeregularly, and only 4.3% visited their physiciansregularlyfor check-ups. With regard to practices, a minority attested to have changed their lifestyle and commit to basic practices in order to reduce diabetes related complications with women being more prone to changes than men. CONCLUSION: The results show that most participants had a negative attitude and very little knowledge regarding diabetes.There is a need for increased diabetes related education and for developing positive attitudes towards reduction of diabetes related complications. The Pakistani population is seen to be almost completely unprepared to fight against an increase in type 2 diabetes prevalence.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".