TY - JOUR
T1 - Learning Evaluation
T2 - Blending quality improvement and implementation research methods to study healthcare innovations
AU - Balasubramanian, Bijal A.
AU - Cohen, Deborah J.
AU - Davis, Melinda M.
AU - Gunn, Rose
AU - Miriam Dickinson, L.
AU - Miller, William L.
AU - Crabtree, Benjamin F.
AU - Stange, Kurt C.
N1 - Funding Information:
Acknowledgements This manuscript presents independent research funded by The Colorado Health Foundation as part of the Advancing Care Together program. The opinions expressed in this manuscript are those of the authors and do not necessarily reflect those of the funder. Dr. Stange's time is funded as a Scholar of the Institute for Integrative Health and by a Clinical Research Professorship from the American Cancer Society. We would like to thank the 11 ACT practices for their partnership, insights, and hard work. We would also like to thank Laura Leviton, PhD at the Robert Wood Johnson Foundation for sharing her expertise on evaluation and design, for her comments on a much earlier iteration of this idea, and for her insights into the importance of learning in evaluation.
Publisher Copyright:
© 2015 Balasubramanian et al.
PY - 2015/3/10
Y1 - 2015/3/10
N2 - 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.
AB - 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.
KW - Delivery of healthcare
KW - Evaluation
KW - Implementation science
KW - Quality improvement
UR - http://www.scopus.com/inward/record.url?scp=84928735268&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84928735268&partnerID=8YFLogxK
U2 - 10.1186/s13012-015-0219-z
DO - 10.1186/s13012-015-0219-z
M3 - Article
C2 - 25889831
AN - SCOPUS:84928735268
SN - 1748-5908
VL - 10
JO - Implementation Science
JF - Implementation Science
IS - 1
M1 - 31
ER -