Frailty and risk of falls in the elderly of a primary health care unit
Bibliographic record
Abstract
Populational aging is a phenomenon that occurs in every part of the world, thus generating changes in the epidemiological profile and the occurrence of events such as fragility, chronical disease and falls. Among researchers and health professionals it is unquestionable that fragility and falls lead to a negative impact in the life of old people, their families, caregivers and society. To analyze the fragility level and falls’ risk in old patients, treated at a Primary Health Care Unit. An observational and transversal study, with a quantitative approach of 145 elderly people, was carried out in a Health Care Unit, in Fortaleza, Ceará. Data collection was developed from March to May 2018. The instrument used to identify the socio-economic variables and risk factors to Health was the Edmonton Frail Scale. The EFS was used to determine the fragility levels and the Time Up and Go – TUG to determine fall’s risks. In the elderly sample there was a female predomination, with an average age of 71 years old, presenting low scholarity, with family income around 1,5 minimum wages. Arterial hypertension and diabetes mellitus prevailed as chronical diseases among them. As to the frail level, light frail prevailed, followed by moderate and severe frail. The medium risk of falls obtained higher percentages followed by the low risk. Conjugal situation, age, comorbities, humor, polypharmacy, hospitalization and functional independence are factors related to frail syndrome and falls’ risk in old people. According to the results found at the research, it can be seen the importance of the elderly characterization as to fragility and falls risks in Primary Attention. This knowledge is necessary to assist the work of health professional in the planning of interventions and strategies to minimize or reduce the elderly vulnerabilities and risks related to these events. The incorporation of this practice in the elderly integral care will direct actions to an amplified approach of health care, prioritizing the search for autonomy and functional capacity of aged people despite any level they may present.
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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 | 0.002 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".