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Community-based interventions in mental health represent a paradigm shift from institution-centered care to treatments embedded within the fabric of local communities. By prioritizing inclusion and leveraging existing societal structures, this approach fosters a supportive environment conducive to addressing mental health challenges while promoting individual dignity and agency.
Foundations of Community Mental Health Programs
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Related Experiment Video

Updated: Jun 29, 2026

Using Visual and Narrative Methods to Achieve Fair Process in Clinical Care
14:32

Using Visual and Narrative Methods to Achieve Fair Process in Clinical Care

Published on: February 16, 2011

Closing the gap in children's quality measures: a collaborative model.

Ellen Schwalenstocker1, Hema Bisarya, Stephen T Lawless

  • 1National Association of Children's Hospitals and Related Institutions (NACHRI), Alexandria, VA, USA.

Journal for Healthcare Quality : Official Publication of the National Association for Healthcare Quality
|October 4, 2008
PubMed
Summary
This summary is machine-generated.

Pediatric healthcare quality measurement is improving through the Pediatric Data Quality Systems (Pedi-QS) Collaborative, which developed new quality measures for children and adolescents. Continued collaboration and national support are crucial for advancing pediatric quality measurement.

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Last Updated: Jun 29, 2026

Using Visual and Narrative Methods to Achieve Fair Process in Clinical Care
14:32

Using Visual and Narrative Methods to Achieve Fair Process in Clinical Care

Published on: February 16, 2011

Area of Science:

  • Healthcare Quality Improvement
  • Pediatric Health Services Research
  • Health Informatics

Background:

  • Documented need for pediatric healthcare quality measures.
  • Historical underrepresentation of children in national quality measurement initiatives.
  • Gap in pediatric-specific quality metrics and reporting.

Purpose of the Study:

  • To address the gap in pediatric healthcare quality measurement.
  • To describe the development process of consensus measure sets for pediatric care.
  • To assess nursing-sensitive indicators within pediatric healthcare.

Main Methods:

  • Formation and operation of the Pediatric Data Quality Systems (Pedi-QS) Collaborative.
  • Consensus-based development of two pediatric quality measure sets.
  • Assessment of nursing-sensitive indicators in pediatric settings.

Main Results:

  • Development of two consensus measure sets for pediatric care.
  • Identification and assessment of nursing-sensitive indicators in pediatric settings.
  • Description of the framework and process for measure set development.

Conclusions:

  • Voluntary collaborative efforts are essential for advancing pediatric quality measures.
  • National support and funding are necessary for sustained progress in pediatric quality measurement.
  • The Pedi-QS Collaborative provides a model for developing pediatric-specific healthcare quality measures.