TY - JOUR
T1 - A gap analysis needs assessment tool to drive a care delivery and research agenda for integration of care and sharing of best practices across a health system
AU - Golden, Sherita Hill
AU - Hager, Daniel
AU - Gould, Lois J.
AU - Mathioudakis, Nestoras
AU - Pronovost, Peter J.
N1 - Funding Information:
Dr. Sherita Golden was supported by a grant from the National Institute of Diabetes and Digestive and Kidney Diseases (R34DK105460). The authors thank the Armstrong Institute for Patient Safety and Quality of Johns Hopkins Medicine for its support of the Diabetes Clinical Community. We acknowledge the members of their Diabetes Clinical Community who assisted in completing the gap analysis tool at their institutions: Theresa Kemmerer, RN, MSc, APN, CDE, and Holly Bashura, RN, CRNP, CDE (Johns Hopkins Hospital); Susan Yesavage, MA, RD, CDE (Johns Hopkins Bayview Medical Center); Mike Taylor, RN, MHA, CDE (Howard County General Hospital); Rose Oshinsky, RN, CDE (Sibley Memorial Hospital); and Patricia Rios, RN (Suburban Hospital).
Publisher Copyright:
© 2016 The Joint Commission. Published by Elsevier Inc. All rights reserved.
PY - 2017/1
Y1 - 2017/1
N2 - Background: In a complex health system, it is important to establish a systematic and data-driven approach to identifying needs. The Diabetes Clinical Community (DCC) of Johns Hopkins Medicine's Armstrong Institute for Patient Safety and Quality developed a gap analysis tool and process to establish the system's current state of inpatient diabetes care. Methods: The collectively developed tool assessed the following areas: program infrastructure; protocols, policies, and order sets; patient and health care professional education; and automated data access. For the purposes of this analysis, gaps were defined as those instances in which local resources, infrastructure, or processes demonstrated a variance against the current national evidence base or institutionally defined best practices. Results: Following the gap analysis, members of the DCC, in collaboration with health system leadership, met to identify priority areas in order to integrate and synergize diabetes care resources and efforts to enhance quality and reduce disparities in care across the system. Key gaps in care identified included lack of standardized glucose management policies, lack of standardized training of health care professionals in inpatient diabetes management, and lack of access to automated data collection and analysis. These results were used to gain resources to support collaborative diabetes health system initiatives and to successfully obtain federal research funding to develop and pilot a pragmatic diabetes educational intervention. Conclusion: At a health system level, the summary format of this gap analysis tool is an effective method to clearly identify disparities in care to focus efforts and resources to improve care delivery.
AB - Background: In a complex health system, it is important to establish a systematic and data-driven approach to identifying needs. The Diabetes Clinical Community (DCC) of Johns Hopkins Medicine's Armstrong Institute for Patient Safety and Quality developed a gap analysis tool and process to establish the system's current state of inpatient diabetes care. Methods: The collectively developed tool assessed the following areas: program infrastructure; protocols, policies, and order sets; patient and health care professional education; and automated data access. For the purposes of this analysis, gaps were defined as those instances in which local resources, infrastructure, or processes demonstrated a variance against the current national evidence base or institutionally defined best practices. Results: Following the gap analysis, members of the DCC, in collaboration with health system leadership, met to identify priority areas in order to integrate and synergize diabetes care resources and efforts to enhance quality and reduce disparities in care across the system. Key gaps in care identified included lack of standardized glucose management policies, lack of standardized training of health care professionals in inpatient diabetes management, and lack of access to automated data collection and analysis. These results were used to gain resources to support collaborative diabetes health system initiatives and to successfully obtain federal research funding to develop and pilot a pragmatic diabetes educational intervention. Conclusion: At a health system level, the summary format of this gap analysis tool is an effective method to clearly identify disparities in care to focus efforts and resources to improve care delivery.
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U2 - 10.1016/j.jcjq.2016.10.004
DO - 10.1016/j.jcjq.2016.10.004
M3 - Article
C2 - 28334581
AN - SCOPUS:85008626286
SN - 1553-7250
VL - 43
SP - 18
EP - 28
JO - Joint Commission Journal on Quality and Patient Safety
JF - Joint Commission Journal on Quality and Patient Safety
IS - 1
ER -