Pattern of morbidity among elders attending general practice: health needs assessment of geriatric patients in Oman
Bibliographic record
Abstract
The main purpose of this study was to identify specific problems and pattern of morbidities that is common in the elderly. A cross sectional study surveying the health status and needs of targeted population was conducted in selected primary health care (PHC) outpatient settings. All consenting individuals aged 60 years and above who visited the selected PHC clinics were interviewed. Information was collected using face-to-face interviews based on a structured, pre-tested questionnaire. A total of 185 people were evaluated in this study. About 75% of participants were age 60-70 years. Overall, male predominance was noted with 137 (74.1%) males and among all participant’s 80% were married. The mean BMI was 26.47±4.98 kg/m2 and mean waist circumference was 90.16±12.97 cm. The prevalence of smoking, DM, HTN, dyslipidaemia and history of IHD among participants were 7.6%, 37.8%, 49.7%, 27.6% and 8.1%, respectively and males showed a significantly higher prevalence than females in smoking and HTN (p<0.05). Hypertension was common comorbid ailment with 29.2% of stage I and 19.5% of stage II hypertension among 60-70 age groups. The majority of the participants were taking shower; using toilet, feeding and get dressed independently, 88.6%, 87.6%, 87% and 87.6% respectively. These findings provide important information on high prevalence of overweight, hypertension, diabetes, smoking and dyslipidaemia among elders. The other common morbidities were impaired vision, walking difficulty, and hearing problems. The activity of daily living (bathing dressing toileting feeding) is preserved in most of older people.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".