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Related Experiment Video

Updated: Mar 9, 2026

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Piloting a Statewide Home Visiting Quality Improvement Learning Collaborative.

Neera K Goyal1,2,3, Martha G Rome4, Julie A Massie4

  • 1Division of Neonatology and Pulmonary Biology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA. neera.goyal@cchmc.org.

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|January 4, 2017
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Summary

This pilot quality improvement (QI) collaborative tested statewide data use in home visiting agencies. While key outcomes didn't shift, agencies gained valuable experience in data-driven practice improvements.

Keywords:
Breakthrough seriesEngagementHome visitingLearning networkQuality improvementRetention

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Area of Science:

  • Public Health
  • Healthcare Quality Improvement
  • Child and Family Services

Background:

  • Home visiting programs are crucial for early childhood support.
  • Effective quality improvement (QI) strategies are needed to enhance service delivery.
  • Statewide collaboration can facilitate QI initiatives in home visiting agencies.

Purpose of the Study:

  • To pilot test a statewide quality improvement (QI) collaborative learning network for home visiting agencies.
  • To assess the feasibility of using collaborative QI models to engage agencies.
  • To evaluate the utility of statewide home visiting data for QI efforts.

Main Methods:

  • An 8-month initiative involving eight selected home visiting agencies.
  • Utilized an adapted Breakthrough Series model with monthly calls and performance feedback.
  • Employed a statewide data system for generating monthly run charts and tracking outcomes.

Main Results:

  • No significant shifts were observed in primary outcome measures (e.g., referral to visit time, visit frequency).
  • Agencies actively tested QI strategies and tracked intermediate process changes.
  • Participating agencies reported positive experiences, including improved staff meeting structures.

Conclusions:

  • Pilot QI learning networks can facilitate agency engagement in testing and measuring changes.
  • Statewide and internal data are valuable tools for QI in home visiting.
  • Future steps include refining metrics and expanding the collaborative model.