Home care for COVID-19 positive cases: suitability of the residential setting and ability of cases to adhere to the required preventive measures
Bibliographic record
Abstract
Abstract Introduction With the upsurge of COVID-19 cases, Lebanese hospitals were overburdened and hospital care was prioritized for COVID-19 patients with the highest probability of poor outcomes. This paper aimed to assess the suitability of residential settings for home isolation and to explore the patient’s ability to adhere to the required precautions measures. Methods All COVID-19 cases reported between February, 21 and the end of June 2020 and who had mild or moderate symptoms, were contacted via phone calls by a healthcare professional to fill out a standardized questionnaire developed to assess the suitability of the residential setting for home care. Inpatient cases were required, before their discharge from the hospitals, to sign consent related to their adherence to the mandatory precautionary measures. They were also asked to complete, on daily basis, the symptoms monitoring log form. A referral system to health facilities was established to manage cases with worsening health status. A collaborative framework to address violations of home isolation rules was also put in place. Results Of the 600 cases assessed, 44.7% of them were isolated in a living building apartment (67.2%) with one entrance (85.5%) including four to eight rooms (71%). Around one-quarter of patients have children (< 5 years) and 75% of them were living with elderly people. Most of the patients confirmed the availability of a well-ventilated single room (96.2%) and a separate bathroom (80.17%). As for infrastructure, more than 90% of patients confirmed the availability of drinking and tank water, heating facilities, electricity, and safe trash elimination. Similarly, more than 90% of them had access to personal hygiene items, disinfectants, and personal protective equipment. The bulk of homes care were rated as easily reachable. As for awareness and ability to self-serving, 94.5% of patients were knowledgeable about the required preventive measures, able to serve themselves and to adhere to the isolation requirements as well. Only 51.8% of them had access to psychological support. Conclusion Proper assessment of the residential setting for home care of COVID-19 cases combined with close monitoring of the adherence of patients to the required precaution measures are highly needed for limiting the spread of infection within the household and the community.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| 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".