Literature DB >> 26272298

Changing Patterns of Glucose-Lowering Medication Use in VA Nursing Home Residents With Diabetes, 2005 to 2011.

Sei J Lee1, Irena Stijacic-Cenzer2, Caroline Barnhart2, Keelan McClymont2, Michael A Steinman2.   

Abstract

OBJECTIVE: Although nursing home (NH) residents make up a large and growing proportion of Americans with diabetes mellitus, little is known about how glucose-lowering medications are used in this population. We sought to examine glucose-lowering medication use in Veterans Affairs (VA) NH residents with diabetes between 2005 and 2011. RESEARCH DESIGN AND METHODS: Retrospective cohort study, using linked laboratory, pharmacy, administrative, and NH Minimum Dataset (MDS) 2.0 databases in 123 VA NHs. A total of 9431 long-stay (>90 days) VA NH residents older than 65 followed for 52,313 person-quarters. We identified receipt of glucose-lowering medications, including insulin, metformin, sulfonylureas, thiazolidinediones, and others (alpha-glucosidase inhibitors, meglitinides, glucagonlike peptide-1 analogs, dipeptidyl peptidase-4 inhibitors and amylin analogs) per quarter.
RESULTS: The rates of sulfonylurea use in long-stay NH residents dropped dramatically from 24% in 2005 to 12% in 2011 (P < .001), driven in large part by the dramatic decrease in glyburide use (10% to 2%, P < .001). There was sharp drop in thiazolidinedione use in 2007 (4% to <1%, P < .001). Metformin use was stable, ranging between 7% and 9% (P = .24). Insulin use increased slightly from 30% to 32% (P < .001). Use of other classes of glucose-lowering medications was stable (P = .22) and low, remaining below 1.3%. CONCLUSIONS AND RELEVANCE: Between 2005 and 2011, there were dramatic declines in use of sulfonylureas and thiazolidinediones in VA NH residents, suggesting that prescribing practices can be quickly changed in this setting. Published by Elsevier Inc.

Entities:  

Keywords:  Nursing home; diabetes; glucose-lowering; insulin; metformin

Mesh:

Substances:

Year:  2015        PMID: 26272298      PMCID: PMC4593744          DOI: 10.1016/j.jamda.2015.06.020

Source DB:  PubMed          Journal:  J Am Med Dir Assoc        ISSN: 1525-8610            Impact factor:   4.669


  36 in total

1.  Rates of hypoglycemia in users of sulfonylureas.

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2.  Standards of medical care in diabetes--2007.

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3.  Standards of medical care in diabetes--2014.

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4.  The work of the RN Minimum Data Set coordinator in its organizational context.

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5.  Patterns of medication initiation in newly diagnosed diabetes mellitus: quality and cost implications.

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6.  Trends in the prevalence and comorbidities of diabetes mellitus in nursing home residents in the United States: 1995-2004.

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Journal:  Am J Geriatr Pharmacother       Date:  2011-02

8.  Individual sulfonylureas and serious hypoglycemia in older people.

Authors:  R I Shorr; W A Ray; J R Daugherty; M R Griffin
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9.  Projection of the year 2050 burden of diabetes in the US adult population: dynamic modeling of incidence, mortality, and prediabetes prevalence.

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Review 10.  Management of hyperglycemia in type 2 diabetes: a patient-centered approach: position statement of the American Diabetes Association (ADA) and the European Association for the Study of Diabetes (EASD).

Authors:  Silvio E Inzucchi; Richard M Bergenstal; John B Buse; Michaela Diamant; Ele Ferrannini; Michael Nauck; Anne L Peters; Apostolos Tsapas; Richard Wender; David R Matthews
Journal:  Diabetes Care       Date:  2012-04-19       Impact factor: 19.112

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Authors:  Andrew R Zullo; David D Dore; Lori Daiello; Rosa R Baier; Roee Gutman; David R Gifford; Robert J Smith
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2.  Fingerstick Glucose Monitoring in Veterans Affairs Nursing Home Residents with Diabetes Mellitus.

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3.  Deintensification of Diabetes Medications among Veterans at the End of Life in VA Nursing Homes.

Authors:  Joshua D Niznik; Jacob N Hunnicutt; Xinhua Zhao; Maria K Mor; Florentina Sileanu; Sherrie L Aspinall; Sydney P Springer; Mary J Ersek; Walid F Gellad; Loren J Schleiden; Joseph T Hanlon; Joshua M Thorpe; Carolyn T Thorpe
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4.  HbA1c response after insulin initiation in patients with type 2 diabetes mellitus in real life practice: Identifying distinct subgroups.

Authors:  Grigory Sidorenkov; Job F M van Boven; Trynke Hoekstra; Giel Nijpels; Klaas Hoogenberg; Petra Denig
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5.  Predicting short- and long-term glycated haemoglobin response after insulin initiation in patients with type 2 diabetes mellitus using machine-learning algorithms.

Authors:  Sunil B Nagaraj; Grigory Sidorenkov; Job F M van Boven; Petra Denig
Journal:  Diabetes Obes Metab       Date:  2019-09-30       Impact factor: 6.577

  5 in total

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