Current State of Inpatient Diabetes Burden and Care, and Goal of The Conference

Moghissi, Etie S.; Kongable, Gail L.; Abad, Victor J.; Leija, Dora E.

doi:10.4158/ep.12.s3.1

Cited by 13 publications

(15 citation statements)

References 19 publications

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“…Preliminary data from the Remote Automated Laboratory SystemPlus (RALS ® -Plus, Medical Automation Systems, Charlottesville, VA) POC-BG data management software were reported at the jointly sponsored American College of Endocrinology and American Diabetes Association Inpatient Diabetes and Glycemic Control Consensus Conference. 18 We now provide more detailed information on RALS-Tight Glycemic Control Module (RALS-TGCM™), a software solution for the extraction and analysis of hospital glucose data. We also report data from 10 hospitals that used the RALS-TGCM application in support of their tight glycemic control programs.…”

Section: Introductionmentioning

confidence: 99%

Inpatient Point-of-Care Bedside Glucose Testing: Preliminary Data on Use of Connectivity Informatics to Measure Hospital Glycemic Control

Cook

Moghissi

Joshi

et al. 2007

Diabetes Technology & Therapeutics

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POC-BG data can be captured through automated data management software and can support hospital efforts to evaluate and monitor the status of inpatient glycemic control. These preliminary data suggest that there is a need to conduct broad-based efforts to improve inpatient glucose management. Increasing hospital participation in data collection has the potential to create a national benchmarking process for the development of best practices and improved inpatient hyperglycemia management.

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Section: Introductionmentioning

confidence: 99%

Inpatient Point-of-Care Bedside Glucose Testing: Preliminary Data on Use of Connectivity Informatics to Measure Hospital Glycemic Control

Cook

Moghissi

Joshi

et al. 2007

Diabetes Technology & Therapeutics

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“…4–6 We assessed the following areas using our gap analysis tool: diabetes program infrastructure; protocols, policies, and order sets; patient and health care professional education; and data access (Table 1). These areas were identified and the assessment questions within each area composed based on the key structural components and activities of the JHH Inpatient Glucose Management Program, 3 as identified by its physician leadership, standards by The Joint Commission Inpatient Diabetes Certification Program, ADA, AACE, and consensus opinion provided by the DCC (Table 1).…”

Section: Methodsmentioning

confidence: 99%

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

Golden¹,

Hager

Gould

et al. 2017

The Joint Commission Journal on Quality and Patient Safety

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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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“…15 In July 2006 The Joint Commission began offering hospitals an Advanced Certification in Inpatient Diabetes option that incorporated recommendations by the ADA. 16,17 The requirements for this certification include the presence of an interdisciplinary team, protocols for glucose monitoring and management, data collection regarding incidence of hypoglycemia, and patient self-management education. Organizations must also use “performance measures relevant to the services provided and populations served” and submit “performance measurement data to The Joint Commission on a routine basis,” but performance measures are not specified.…”

Section: Current State Of Glucose Management Programsmentioning

confidence: 99%

“…In 2006, 10 years after the Society for Healthcare Epidemiology of America (SHEA) stablished consensus recommendations on the infrastructure of ICPs, 1 the American College of Endocrinology and the ADA published a consensus statement outlining infrastructure requirements of GMPs. 16 Among the recommendations were the need for administrative support; formation of a multidisciplinary steering committee to promote development of initiatives; assessment of current processes, quality of care, and barriers; development and implementation of interventions (that is, protocols, policies, algorithms); and metrics for evaluation.…”

Section: Current State Of Glucose Management Programsmentioning

confidence: 99%

Modeling Inpatient Glucose Management Programs on Hospital Infection Control Programs: An Infrastructural Model of Excellence

Mathioudakis

Pronovost

Cosgrove

et al. 2015

The Joint Commission Journal on Quality and Patient Safety

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Current State of Inpatient Diabetes Burden and Care, and Goal of The Conference

Cited by 13 publications

References 19 publications

Inpatient Point-of-Care Bedside Glucose Testing: Preliminary Data on Use of Connectivity Informatics to Measure Hospital Glycemic Control

Inpatient Point-of-Care Bedside Glucose Testing: Preliminary Data on Use of Connectivity Informatics to Measure Hospital Glycemic Control

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

Modeling Inpatient Glucose Management Programs on Hospital Infection Control Programs: An Infrastructural Model of Excellence

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