Expanding Surveillance Toward Sharing Data with the Community: Qualitative Insights from a Childcare Center Illness

Peter M DeJonge1, William Gribbin1, Abigail Gaughan1

  • 1Peter M. DeJonge, MPH, and Khalil Chedid, MD, MPH, are PhD Candidates, Department of Epidemiology; Abigail Gaughan is an Undergraduate Student; Emily T. Martin, PhD, MPH, is an Associate Professor, Department of Epidemiology; and Alison L. Miller, PhD, is an Associate Professor, Department of Health Behavior and Health Education; all at the University of Michigan School of Public Health, Ann Arbor, MI. William Gribbin, MS, is a Medical Student and Andrew N. Hashikawa, MD, MPH, is an Associate Professor, Department of Emergency Medicine and Department of Pediatrics; both at the University of Michigan Medical School, Ann Arbor, MI.

Health Security
|May 6, 2021
PubMed

Insights

Childcare illness surveillance can be improved by incorporating user feedback. Making data more accessible and actionable for childcare providers enhances engagement and outbreak response.

Area of Science:

  • Public Health
  • Infectious Disease Epidemiology
  • Health Informatics

Background:

  • Childcare settings are high-risk environments for pediatric infectious diseases.
  • Existing surveillance systems like the Michigan Child Care Related Infections Surveillance Program (MCRISP) primarily provide unidirectional data flow.
  • There is a need to better understand how surveillance data can benefit childcare stakeholders directly.

Purpose of the Study:

  • To explore how community illness data from MCRISP can be leveraged to better serve childcare providers.
  • To identify desired improvements for the MCRISP surveillance system from the perspective of childcare directors.

Main Methods:

  • A ground-up design approach was employed.
  • Focus groups were conducted with primary data reporters from 30 MCRISP-affiliated childcare centers.
  • Thematic assessment was used to analyze participant feedback.

Main Results:

  • Childcare directors desired system improvements to integrate subjective experiences with objective data.
  • Participants sought assistance with program decision-making and access to educational resources.
  • Prioritizing the user's experience was a key request for enhancing the surveillance system.

Conclusions:

  • Findings support a framework for greater transparency and bidirectional data flow in community disease surveillance.
  • Improving surveillance systems enhances stakeholder engagement and facilitates rapid mitigation strategies.
  • Mutually beneficial surveillance networks can optimize resource allocation during outbreaks and pandemics.

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