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Gao G, Vaclavik L, Jeffery AD, Koch EC, Schafer K, Cimiotti JP, Pathak N, Duva I, Martin CL, Simpson RL. Developing a Quality Improvement Implementation Taxonomy for Organizational Employee Wellness Initiatives. Appl Clin Inform 2024; 15:26-33. [PMID: 37945000 PMCID: PMC10830245 DOI: 10.1055/a-2207-7396] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Accepted: 11/07/2023] [Indexed: 11/12/2023] Open
Abstract
BACKGROUND Standardized taxonomies (STs) facilitate knowledge representation and semantic interoperability within health care provision and research. However, a gap exists in capturing knowledge representation to classify, quantify, qualify, and codify the intersection of evidence and quality improvement (QI) implementation. This interprofessional case report leverages a novel semantic and ontological approach to bridge this gap. OBJECTIVES This report had two objectives. First, it aimed to synthesize implementation barrier and facilitator data from employee wellness QI initiatives across Veteran Affairs health care systems through a semantic and ontological approach. Second, it introduced an original framework of this use-case-based taxonomy on implementation barriers and facilitators within a QI process. METHODS We synthesized terms from combined datasets of all-site implementation barriers and facilitators through QI cause-and-effect analysis and qualitative thematic analysis. We developed the Quality Improvement and Implementation Taxonomy (QIIT) classification scheme to categorize synthesized terms and structure. This framework employed a semantic and ontological approach. It was built upon existing terms and models from the QI Plan, Do, Study, Act phases, the Consolidated Framework for Implementation Research domains, and the fishbone cause-and-effect categories. RESULTS The QIIT followed a hierarchical and relational classification scheme. Its taxonomy was linked to four QI Phases, five Implementing Domains, and six Conceptual Determinants modified by customizable Descriptors and Binary or Likert Attribute Scales. CONCLUSION This case report introduces a novel approach to standardize the process and taxonomy to describe evidence translation to QI implementation barriers and facilitators. This classification scheme reduces redundancy and allows semantic agreements on concepts and ontological knowledge representation. Integrating existing taxonomies and models enhances the efficiency of reusing well-developed taxonomies and relationship modeling among constructs. Ultimately, employing STs helps generate comparable and sharable QI evaluations for forecast, leading to sustainable implementation with clinically informed innovative solutions.
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Affiliation(s)
- Grace Gao
- Veteran Affairs Quality Scholars Program, Joseph Maxwell Cleland Atlanta VA Medical Center, Atlanta, Georgia, United States
- Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, Georgia, United States
- School of Nursing, St Catherine University, St Paul, Minnesota, United States
| | - Lindsay Vaclavik
- Department of Internal Medicine, Michael E. DeBakey VA Medical Center, Baylor College of Medicine, Houston, Texas, United States
| | - Alvin D. Jeffery
- Office of Nursing Services, Tennessee Valley Healthcare System, Nashville, Tennessee, United States
- Vanderbilt University School of Nursing, Nashville, Tennessee, United States
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, United States
| | - Erica C. Koch
- Veteran Affairs Quality Scholars Program, Tennessee Valley VA Healthcare System, Nashville, Tennessee, United States, Clinical Instructor of Emergency Medicine, Vanderbilt University School of Medicine, Nashville, Tennessee, United States
- Emergency Medicine, Vanderbilt University School of Medicine, Nashville, Tennessee, United States
| | - Katherine Schafer
- Veteran Affairs Quality Scholars Program, Tennessee Valley VA Healthcare System, Nashville, Tennessee, United States, Clinical Instructor of Emergency Medicine, Vanderbilt University School of Medicine, Nashville, Tennessee, United States
| | - Jeannie P. Cimiotti
- Veteran Affairs Quality Scholars Program, Joseph Maxwell Cleland Atlanta VA Medical Center, Atlanta, Georgia, United States
- Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, Georgia, United States
| | - Neha Pathak
- Veteran Affairs Quality Scholars Program, Joseph Maxwell Cleland Atlanta VA Medical Center, Atlanta, Georgia, United States
| | - Ingrid Duva
- Veteran Affairs Quality Scholars Program, Joseph Maxwell Cleland Atlanta VA Medical Center, Atlanta, Georgia, United States
- Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, Georgia, United States
| | - Christie L. Martin
- School of Nursing, University of Minnesota, Minneapolis, Minnesota, United States
| | - Roy L. Simpson
- Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, Georgia, United States
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Gao G, Vaclavik L, Jeffery AD, Koch EC, Schafer K, Cimiotti JP, Pathak N, Duva I, Martin CL, Simpson RL. Developing a Quality Improvement Implementation Taxonomy for Organizational Employee Wellness Initiatives. Appl Clin Inform 2024; 15:26-33. [PMID: 38198827 PMCID: PMC10781573 DOI: 10.1055/s-0043-1777455] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Accepted: 11/07/2023] [Indexed: 01/12/2024] Open
Abstract
BACKGROUND Standardized taxonomies (STs) facilitate knowledge representation and semantic interoperability within health care provision and research. However, a gap exists in capturing knowledge representation to classify, quantify, qualify, and codify the intersection of evidence and quality improvement (QI) implementation. This interprofessional case report leverages a novel semantic and ontological approach to bridge this gap. OBJECTIVES This report had two objectives. First, it aimed to synthesize implementation barrier and facilitator data from employee wellness QI initiatives across Veteran Affairs health care systems through a semantic and ontological approach. Second, it introduced an original framework of this use-case-based taxonomy on implementation barriers and facilitators within a QI process. METHODS We synthesized terms from combined datasets of all-site implementation barriers and facilitators through QI cause-and-effect analysis and qualitative thematic analysis. We developed the Quality Improvement and Implementation Taxonomy (QIIT) classification scheme to categorize synthesized terms and structure. This framework employed a semantic and ontological approach. It was built upon existing terms and models from the QI Plan, Do, Study, Act phases, the Consolidated Framework for Implementation Research domains, and the fishbone cause-and-effect categories. RESULTS The QIIT followed a hierarchical and relational classification scheme. Its taxonomy was linked to four QI Phases, five Implementing Domains, and six Conceptual Determinants modified by customizable Descriptors and Binary or Likert Attribute Scales. CONCLUSION This case report introduces a novel approach to standardize the process and taxonomy to describe evidence translation to QI implementation barriers and facilitators. This classification scheme reduces redundancy and allows semantic agreements on concepts and ontological knowledge representation. Integrating existing taxonomies and models enhances the efficiency of reusing well-developed taxonomies and relationship modeling among constructs. Ultimately, employing STs helps generate comparable and sharable QI evaluations for forecast, leading to sustainable implementation with clinically informed innovative solutions.
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Affiliation(s)
- Grace Gao
- Veteran Affairs Quality Scholars Program, Joseph Maxwell Cleland Atlanta VA Medical Center, Atlanta, Georgia, United States
- Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, Georgia, United States
- School of Nursing, St Catherine University, St Paul, Minnesota, United States
| | - Lindsay Vaclavik
- Department of Internal Medicine, Michael E. DeBakey VA Medical Center, Baylor College of Medicine, Houston, Texas, United States
| | - Alvin D. Jeffery
- Office of Nursing Services, Tennessee Valley Healthcare System, Nashville, Tennessee, United States
- Vanderbilt University School of Nursing, Nashville, Tennessee, United States
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, United States
| | - Erica C. Koch
- Veteran Affairs Quality Scholars Program, Tennessee Valley VA Healthcare System, Nashville, Tennessee, United States, Clinical Instructor of Emergency Medicine, Vanderbilt University School of Medicine, Nashville, Tennessee, United States
- Emergency Medicine, Vanderbilt University School of Medicine, Nashville, Tennessee, United States
| | - Katherine Schafer
- Veteran Affairs Quality Scholars Program, Tennessee Valley VA Healthcare System, Nashville, Tennessee, United States, Clinical Instructor of Emergency Medicine, Vanderbilt University School of Medicine, Nashville, Tennessee, United States
| | - Jeannie P. Cimiotti
- Veteran Affairs Quality Scholars Program, Joseph Maxwell Cleland Atlanta VA Medical Center, Atlanta, Georgia, United States
- Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, Georgia, United States
| | - Neha Pathak
- Veteran Affairs Quality Scholars Program, Joseph Maxwell Cleland Atlanta VA Medical Center, Atlanta, Georgia, United States
| | - Ingrid Duva
- Veteran Affairs Quality Scholars Program, Joseph Maxwell Cleland Atlanta VA Medical Center, Atlanta, Georgia, United States
- Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, Georgia, United States
| | - Christie L. Martin
- School of Nursing, University of Minnesota, Minneapolis, Minnesota, United States
| | - Roy L. Simpson
- Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, Georgia, United States
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Horstman MJ, Tomolo AM, Webb B, Vaclavik L. Selecting a Quality Improvement Project: 5 Questions for Trainees and Mentors. J Grad Med Educ 2023; 15:528-531. [PMID: 37781437 PMCID: PMC10539144 DOI: 10.4300/jgme-d-23-00249.1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/03/2023] Open
Affiliation(s)
- Molly J. Horstman
- Molly J. Horstman, MD, MS, is an Investigator, Center for Innovations in Quality, Effectiveness, and Safety, Michael E. DeBakey VA Medical Center, and an Assistant Professor, Department of Medicine, Baylor College of Medicine
| | - Anne M. Tomolo
- Anne M. Tomolo, MD, MPH, is a Physician Educator, Veterans Health Administration National Center for Patient Safety, an Associate Professor, Department of Medicine, Emory University, and an Associate Editor, Journal of Graduate Medical Education
| | - Blake Webb
- Blake Webb, MD, is a Physician Executive, Veterans Health Administration National Center for Patient Safety; and
| | - Lindsay Vaclavik
- Lindsay Vaclavik, MD, is an Investigator, Center for Innovations in Quality, Effectiveness, and Safety, Michael E. DeBakey VA Medical Center, and an Assistant Professor, Department of Medicine, Baylor College
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Arnell M, Demet R, Vaclavik L, Huang X, Staggers KA, Cai CY, Horstman MJ. Use of a Rubric to Improve the Quality of Internal Medicine Resident Event Reporting. MedEdPORTAL 2021; 17:11189. [PMID: 34692995 PMCID: PMC8502786 DOI: 10.15766/mep_2374-8265.11189] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/02/2021] [Accepted: 07/26/2021] [Indexed: 06/13/2023]
Abstract
INTRODUCTION As frontline providers, residents report patient safety events and provide crucial safety feedback. Specific ACGME and AAMC requirements for graduating residents include active participation in event reporting and patient safety investigations. However, formal training on what information a quality event report should include to effect real change in the health care system is lacking. METHODS This practical, interactive, case-based workshop educates residents on the key components of a quality event report in a 1-hour time frame. The scoring rubric offers quantitative feedback on the quality of information provided in residents' own event reports. The materials include a presentation template, sample teaching points, pre- and posttraining patient safety cases for residents to complete their own event reports about, and a standardized rubric to score event reports for feedback. RESULTS During the fall of 2019, 198 internal medicine residents completed the workshop, and 143 matched pre- and postcourse surveys were reviewed. Residents' ability to correctly identify the key concepts of an event report improved from a median score of 4 to 8 (p < .001). After completion of training, residents reported increased knowledge regarding the content of an effective event report (p < .001) and increased confidence in their ability to write one (p < .001). DISCUSSION Residents' knowledge of key event-reporting concepts and confidence in reporting improved after completion of the workshop. This brief interactive training and its novel rubric can be used as a standardized tool for patient safety curricula in academic training programs.
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Affiliation(s)
- Monica Arnell
- Clinical Instructor, Department of Medicine, Houston Methodist
| | | | - Lindsay Vaclavik
- Assistant Professor of Medicine, Department of Medicine, Baylor College of Medicine
| | - Xiaofan Huang
- Biostatistician, Institute for Clinical and Translational Research, Baylor College of Medicine
| | - Kristen A. Staggers
- Biostatistician, Institute for Clinical and Translational Research, Baylor College of Medicine
| | - Cecilia Y. Cai
- Clinical Fellow, Department of Medicine, Johns Hopkins University School of Medicine
| | - Molly J. Horstman
- Assistant Professor of Medicine, Department of Medicine, Baylor College of Medicine; Investigator, Center for Innovations in Quality, Effectiveness, and Safety, Michael E. DeBakey VA Medical Center
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Vaclavik L. “Feel The Burn”: A Case Report of Statin-Induced Necrotizing Myositis. Chest 2016. [DOI: 10.1016/j.chest.2016.08.422] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022] Open
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