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Learning Evaluation: blending quality improvement and implementation research methods to study healthcare innovations
- 作者:Bijal A Balasubramanian (1) (2)
Deborah J Cohen (3) Melinda M Davis (3) Rose Gunn (3) L Miriam Dickinson (4) William L Miller (5) Benjamin F Crabtree (6) Kurt C Stange (7)
1. Department of Epidemiology ; Human Genetics ; and Environmental Sciences ; University of Texas Health Science Center Houston School of Public Health ; Dallas Regional Campus ; 5323 Harry Hines Blvd ; V8.112 ; Dallas ; TX ; 75390 ; USA 2. Harold Simmons Comprehensive Cancer Center ; UT Southwestern Medical Center ; Dallas ; TX ; USA 3. Department of Family Medicine ; Oregon Health & Science University ; Portland ; OR ; USA 4. Department of Family Medicine ; University of Colorado School of Medicine ; Aurora ; CO ; USA 5. Department of Family Medicine ; Lehigh Valley Health Network ; Allentown ; PA ; USA 6. Department of Family Medicine and Community Health ; Robert Wood Johnson Medical School ; Rutgers University ; New Brunswick ; NJ ; USA 7. Departments of Family Medicine and Community Health ; Epidemiology and Biostatistics ; and Sociology ; Case Western Reserve University ; Cleveland ; OH ; USA
- 关键词:Quality improvement ; Implementation science ; Evaluation ; Delivery of healthcare
- 刊名:Implementation Science
- 出版年:2015
- 出版时间:December 2015
- 年:2015
- 卷:10
- 期:1
- 全文大小:493 KB
- 参考文献:Crossing the quality chasm: a new health system for the 21st century. National Academy Press, Washington, D.C
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- 刊物主题:Health Promotion and Disease Prevention; Health Administration; Health Informatics;
- 出版者:BioMed Central
- ISSN:1748-5908
文摘
Background In healthcare change interventions, on-the-ground learning about the implementation process is often lost because of a primary focus on outcome improvements. This paper describes the Learning Evaluation, a methodological approach that blends quality improvement and implementation research methods to study healthcare innovations. Methods Learning Evaluation is an approach to multi-organization assessment. Qualitative and quantitative data are collected to conduct real-time assessment of implementation processes while also assessing changes in context, facilitating quality improvement using run charts and audit and feedback, and generating transportable lessons. Five principles are the foundation of this approach: (1) gather data to describe changes made by healthcare organizations and how changes are implemented; (2) collect process and outcome data relevant to healthcare organizations and to the research team; (3) assess multi-level contextual factors that affect implementation, process, outcome, and transportability; (4) assist healthcare organizations in using data for continuous quality improvement; and (5) operationalize common measurement strategies to generate transportable results. Results Learning Evaluation principles are applied across organizations by the following: (1) establishing a detailed understanding of the baseline implementation plan; (2) identifying target populations and tracking relevant process measures; (3) collecting and analyzing real-time quantitative and qualitative data on important contextual factors; (4) synthesizing data and emerging findings and sharing with stakeholders on an ongoing basis; and (5) harmonizing and fostering learning from process and outcome data. Application to a multi-site program focused on primary care and behavioral health integration shows the feasibility and utility of Learning Evaluation for generating real-time insights into evolving implementation processes. Conclusions Learning Evaluation generates systematic and rigorous cross-organizational findings about implementing healthcare innovations while also enhancing organizational capacity and accelerating translation of findings by facilitating continuous learning within individual sites. Researchers evaluating change initiatives and healthcare organizations implementing improvement initiatives may benefit from a Learning Evaluation approach.
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