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Creating locally relevant health solutions with the appreciative inquiry and Boot Camp Translation method
Investigator (PI): Nease, Donald
Past Investigator: Westfall, John
Performing Organization (PO): (Current): University of Colorado Denver, Anschutz Medical Campus, School of Medicine, Department of Family Medicine / (303) 724-9700
Supporting Agency (SA): Patient-Centered Outcomes Research Institute (PCORI)
Initial Year: 2013
Final Year: 2018
Record Source/Award ID: PCORI/ME-1303-5843
Funding: Total Award Amount: $1,084,765
Award Type: Contract
Award Information: PCORI: More information and project results (when completed)
Abstract: Background: Scientific medical discoveries often take many years to become everyday practice in health care facilities and communities. The resulting health recommendations often use terminology and concepts that are not easily understood by patients and community members. The University of Colorado Department of Family Medicine and our community advisory councils have successfully tested two processes that may improve the translation of scientific medical discovery into language, concepts, and ultimately care that is more accessible to patients. Appreciative inquiry (AI) engages patients to identify successful solutions to their local health concerns. Boot Camp Translation (BCT) can change patients' views, and even beliefs, around certain medical conditions. We aim to further test and refine a combined AI/BCT method so others throughout the United States can more quickly translate health recommendations and guidelines into relevant and sustainable messages and care for diverse patients and community members. Objectives: The study objectives are to (1) conduct 6 AI/BCT projects with rural and urban underserved Colorado communities to select priority health topics, identify factors that facilitate successful health outcomes related to the topic, and translate evidence-based recommendations into local solutions; (2) identify and describe the components of the AI/BCT model essential to engaging patients and community members in patient-centered research; and (3) produce a training program for patients, health care professionals, and academic researchers to disseminate the AI/BCT to improve patient engagement for patient-centered outcomes. Methods: The aims are (aim 1) community and academic partners will recruit and convene participants for 6 AI/BCTs rural and urban areas; (aim 2) we will use a specialized method (qualitative comparative analysis) to analyze data about the content and processes from each AI/BCT. With our community partners, we identify a refined and focused set of essential AI/BCT components that lead to successful translation of evidence-based recommendations; and (aim 3) we will create an educational curriculum and conduct two AI/BCT trainings for community members, researchers, and health professionals. We will collect qualitative and quantitative data from participants and the training team to assess the effectiveness of the AI/BCT Training. Patient outcomes (projected): The patient outcome is 6 AI/BCTs of evidence-based guidelines into concepts and language that resonates with patients and community members in diverse urban and rural underserved communities. The primary outcome is the refined AI/BCT methodology to successfully translate health guidelines identified by patients into language that helps patients have meaningful conversations with their health care providers. A complete understanding of this process will allow development and dissemination of the AI/BCT methodology.
MeSH Terms:
  • Colorado
  • Curriculum
  • Evidence-Based Medicine
  • Family Practice
  • Guidelines as Topic
  • * Health Communication
  • Humans
  • Medically Underserved Area
  • Outcome Assessment, Health Care
  • Patient Education as Topic
  • * Patient-Centered Care
  • Program Development
  • Program Evaluation
  • Rural Population
  • Universities
  • Urban Population
Country: United States
State: Colorado
Zip Code: 80045
UI: 20143582
Project Status: Completed
Record History: ('2017: Project extended to 2018.',)