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Models of Health Promotion and Illness Prevention I01:25

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A Novel Method for Involving Women of Color at High Risk for Preterm Birth in Research Priority Setting
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A logic model framework for evaluation and planning in a primary care practice-based research network (PBRN).

Holly Hayes1, Michael L Parchman, Ray Howard

  • 1Department of Family and Community Medicine, University of Texas Health Science Center, San Antonio, Texas, USA. hayesh@uthscsa.edu

Journal of the American Board of Family Medicine : JABFM
|September 9, 2011
PubMed
Summary

Developing a logic model helps practice-based research networks (PBRNs) plan and evaluate their growth. This framework aids in achieving improved patient health outcomes and recognizing clinicians as research leaders.

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Area of Science:

  • Primary Care Research
  • Health Services Research
  • Network Development

Background:

  • Evaluating the growth of practice-based research networks (PBRNs) presents significant challenges.
  • Effective planning and evaluation are crucial for PBRN success and sustainability.

Purpose of the Study:

  • To describe the development of a logic model for a primary care PBRN.
  • To illustrate how this logic model framework facilitates planning and evaluation.

Main Methods:

  • Formed an evaluation team comprising PBRN directors, staff, and board members.
  • Conducted facilitated stakeholder meetings to identify assumptions, inputs, activities, outputs, outcomes, and indicators.
  • Defined the PBRN's mission and target audience.

Main Results:

  • The logic model established two long-term outcomes: improved patient health and clinician recognition as research leaders.
  • The model highlighted stakeholder interests and dissemination activities as areas needing enhanced focus.
  • The logic model approach proved valuable for PBRN planning and project management.

Conclusions:

  • Logic models are effective tools for planning and evaluating PBRNs.
  • This framework enhances the likelihood of successfully implementing a PBRN's mission.
  • Logic models support the dual goals of improving patient health and advancing clinical research leadership.