Systems of Care Approach to Improve Care for Children During Public Health Emergencies

Abstract

Introduction:

During public health emergencies, like COVID-19 or natural disasters, care for the pediatric population can become fragmented. Communication between systems may be challenged due to lack of relationships or infrastructure barriers such as incompatible electronic health record (EHR) systems. This can create critical, life-threatening situations for pregnant patients, infants, and children with exposures to threats. A systems-level approach was developed to guide planning efforts to improve and enhance communication and data sharing along the spectrum of care for children during public health emergencies.

Method:

The American Academy of Pediatrics (AAP) and the Centers for Disease Control and Prevention (CDC) gathered subject matter experts to discuss how healthcare systems and community partners could strengthen the communication within the pediatric system of care. Three primary challenges emerged: Communication, Screening and Data, and Preparedness and Planning. Action steps were identified to address these challenge areas and meet the goals of reaching diverse populations, addressing health disparities, improving collaboration between health systems and public health, implementing effective screening practices that are guided by data, and strengthening infrastructure.

Results:

As a result of the in-depth discussions a graphic was developed to help guide those working to improve the system of care in their communities by implementing the activities described above. Selected multidisciplinary state teams will test strategies to address these goals.

Conclusion:

Improving communication and data sharing in the pediatric system of care will improve care and better inform the response during public health emergencies. Building successful partnerships, such as those between health care and public health, will be critical to success. The example of the Surveillance for Emerging Threats to Mothers and Babies Network (SET-NET) program, which collects and analyzes data related to public health threats, demonstrates the strength of this approach.