Limiting transmission of COVID-19 in an inpatient psychiatric hospital using a special care unit as a behavioral health model - Michigan, March 1-August 31, 2020
Bibliographic record
Abstract
Approximately 53,000 patients/year are admitted to psychiatric hospitals in Michigan and treatment typically involves social gatherings and group therapies (SAMHSA 2017; Michigan DHS 2019). Often psychiatric inpatients are in close proximity placing them at high risk of infection and have comorbid medical conditions that predispose them to severe COVID-19 consequences. In March 2020, Pine Rest Christian Mental Health Services, Grand Rapids, MI initiated protocols and precautions to mitigate the spread of COVID-19 between patients and health care personnel (HCP) based on emerging CDC guidelines. Multiple strategies [COVID-19 testing, masking of patients and HCP, restricting visitors, and creation of Special Care Unit (SCU) with negative pressure] were effectively implemented and limited transmission of COVID-19 within Pine Rest. Admission to the SCU totaled 25 adults (three Pine Rest patients who tested positive during or after admission, and 22 COVID-19 positive patients who were transferred from other facilities). Average age of SCU inpatients was 38.5 ± 16.6 years with the majority being male. Average hospitalization was 9 ± 4 days. Among the 21 COVID-19 positive HCP, 15 [71%] provided direct clinical care on various units, zero provided care on the SCU, and six had roles with no direct patient care. Average age among COVID-19 positive HCP providing direct patient care[n = 15] was 29.5 ± 13.5 years, majority were female, and 3 [20%] were admitted to local medical hospital for treatment. This report demonstrates that quality behavioral health care can be safely provided at inpatient psychiatric facilities and serve as a guideline that other psychiatric facilities can follow to decrease transmission in future epidemics.
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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 | 0.000 | 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".