Literature DB >> 22538156

Assessing inpatient glycemic control: what are the next steps?

Curtiss B Cook1, Kay E Wellik, Gail L Kongable, Jianfen Shu.   

Abstract

Despite the emergence of glucometrics (i.e., systematic analysis of data on blood glucose levels of inpatients) as a subject of high interest, there remains a lack of standardization on how glucose parameters are measured and reported. This dilemma must be resolved before a national benchmarking process can be developed that will allow institutions to track and compare inpatient glucose control performance against established guidelines and that can also be supported by quality care organizations. In this article, we review some of the questions that need to be resolved through consensus and review of the evidence, and discuss some of the limitations in analyzing and reporting inpatient glucose data that must be addressed (or at least accepted as limitations) before hospitals can commit resources to gathering, compiling, and presenting inpatient glucose statistics as a health care quality measure. Standards must include consensus on which measures to report, the unit of analysis, definitions of targets for hyperglycemia treatment, a definition of hypoglycemia, determination of how data should be gathered (from chart review or from laboratory information systems), and which type of sample (blood or point of care) should be used for analysis of glycemic control. Hospitals and/or their representatives should be included in the discussion. For inpatient glucose control to remain a focus of interest, further dialogue and consensus on the topic are needed.
© 2012 Diabetes Technology Society.

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Year:  2012        PMID: 22538156      PMCID: PMC3380788          DOI: 10.1177/193229681200600230

Source DB:  PubMed          Journal:  J Diabetes Sci Technol        ISSN: 1932-2968


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7.  Diabetes and hyperglycemia quality improvement efforts in hospitals in the United States: current status, practice variation, and barriers to implementation.

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Review 3.  Glucometrics and Insulinometrics.

Authors:  Bithika M Thompson; Curtiss B Cook
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5.  Statistical transformation and the interpretation of inpatient glucose control data from the intensive care unit.

Authors:  George E Saulnier; Janna C Castro; Curtiss B Cook
Journal:  J Diabetes Sci Technol       Date:  2014-02-27

6.  Utilizing distributional analytics and electronic records to assess timeliness of inpatient blood glucose monitoring in non-critical care wards.

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7.  An open source tool to compute measures of inpatient glycemic control: translating from healthcare analytics research to clinical quality improvement.

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