Hospital rehabilitation of post-COVID-19 patients and their quality of life
Bibliographic record
Abstract
Background: Health-related quality of life (HRQoL) is an important indicator that should be considered on par with medical indicators of health in order to better monitor a patient's overall condition.As a result of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infection, many people experienced invasive treatment.Deterioration of patients' quality of life (QoL) after COVID-19 under hospital rehabilitation can negatively affect physical, psychological, and social functioning.Aims: This article aimed to analyze changes in the QoL of patients who underwent a rehabilitation program within six months after the onset of COVID-19. Material and methods:The study was conducted at the Independent Public Institute of Tuberculosis and Lung Diseases [Pol.Samodzielny Publiczny Zespół Gruźlicy i Chorób Płuc] in Olsztyn (Poland).The evaluation of the effects of rehabilitation among the 33 patients included the patients' QoL, which included physical, psychological, and social functioning.Thus, physical capacity, functional ability, risk of falls, mood, self-assessment in coping with activities of daily living, and risk of depression were examined.The study used the 6-Minute Walk Test (6MWT), Borg Rating of Perceived Exertion scale (RPE), Timed Up and Go test (TUG), Geriatric Depression Scale (GDS) and a set of original self-reported survey questionnaires.Results: The study showed a statistically significant improvement in patients' performance and reduced fatigue according to the Borg RPE scale.The quality of movement improved significantly, and the risk of falls decreased.After rehabilitation, patients rated their performance higher when performing activities of daily living that required moderate physical exertion.There was a statistically significant reduction in the risk of depression.Achieving these results after the improvement period represents a successful prognosis for the return to full functional capacity of the patients. Conclusions:Hospital rehabilitation had a positive effect on improving comfort in performing activities of daily living.The inpatient rehabilitation program significantly changed the subjective assessment of psychological well-being, as revealed by lower tendencies to depression and greater readiness to participate in social life.
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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 | 0.002 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".