Facilitating hospital emergency preparedness: introduction of a model memorandum of understanding

Disaster Med Public Health Prep. 2011 Mar;5(1):54-61. doi: 10.1001/10-v4n2-hsf10003. Epub 2010 Jul 19.

Abstract

Effective emergency response among hospitals and other health care providers stems from multiple factors depending on the nature of the emergency. While local emergencies can test hospital acute care facilities, prolonged national emergencies, such as the 2009 H1N1 outbreak, raise significant challenges. These events involve sustained surges of patients over longer periods and spanning entire regions. They require significant and sustained coordination of personnel, services, and supplies among hospitals and other providers to ensure adequate patient care across regions. Some hospitals, however, may lack structural principles to help coordinate care and guide critical allocation decisions. This article discusses a model Memorandum of Understanding (MOU) that sets forth essential principles on how to allocate scarce resources among providers across regions. The model seeks to align regional hospitals through advance agreements on procedures of mutual aid that reflect modern principles of emergency preparedness and changing legal norms in declared emergencies.

Publication types

  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, Non-P.H.S.
  • Research Support, U.S. Gov't, P.H.S.
  • Review

MeSH terms

  • Continuity of Patient Care
  • Delivery of Health Care / economics
  • Delivery of Health Care / organization & administration*
  • Delivery of Health Care / standards
  • Disaster Planning / economics
  • Disaster Planning / organization & administration*
  • Disaster Planning / standards
  • Emergency Service, Hospital / economics
  • Emergency Service, Hospital / organization & administration*
  • Emergency Service, Hospital / standards
  • Health Care Costs
  • Humans
  • Liability, Legal
  • Models, Organizational*
  • Patient Transfer
  • Resource Allocation / economics
  • Resource Allocation / methods*
  • Resource Allocation / statistics & numerical data
  • United States