Navigating COVID-19 Surges: A Case Study of a Hospital-at-Home Implementation
2024

Navigating COVID-19 Surges: A Case Study of a Hospital-at-Home Implementation

Sample size: 33 publication Evidence: moderate

Author Information

Author(s): Ng Jin Wee, Nurjono Milawaty, Kee Michelle Mong Nee, Oh Hong Choon, See Qin Yong

Primary Institution: Changi General Hospital, Singhealth, Singapore

Hypothesis

Can the Hospital-at-Home model effectively alleviate hospital bed shortages during COVID-19 surges?

Conclusion

The Hospital-at-Home model successfully reduced hospital bed utilization while maintaining care quality during COVID-19 surges.

Supporting Evidence

  • HaH was activated for 38 days during the Omicron wave and 22 days during the XBB wave.
  • 16 patients were admitted during the Omicron wave, saving 48 bed days.
  • 17 patients were admitted during the XBB wave, saving 85 bed days.
  • There were no adverse events reported during the program.
  • The 30-day readmission rate for discharged patients was zero.
  • No negative feedback was received during the post-discharge survey.

Takeaway

This study shows that patients can receive hospital-level care at home, which helps free up hospital beds for those who need them more urgently.

Methodology

The study involved implementing a Hospital-at-Home model for COVID-19 patients, assessing clinical outcomes, and collecting feedback from patients.

Potential Biases

Potential bias due to the small team managing the program and communication challenges with acute inpatient wards.

Limitations

The study had a low sample size, which limited the reliability of some data.

Participant Demographics

33 patients with a median age of 72, including 19 males and 14 females.

Digital Object Identifier (DOI)

10.5334/ijic.8749

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