Literature DB >> 19888373

A novel method for assessing insulin dose adjustments by patients with diabetes.

Carine Choleau1, A Michael Albisser, Avner Bar-Hen, Hélène Bihan, Catherine Campinos, Zohra Gherbi, Rached Jomaa, Mammoud Aich, Régis Cohen, Gérard Reach.   

Abstract

BACKGROUND: Insulin treated diabetic patients often do not adjust their insulin doses. We developed a method to provide a quantitative and qualitative assessment of this behavior.
METHODS: Fourteen patients provided logbook pages of their self-monitoring of blood glucose (SMBG) data and insulin doses. We compared the actual decisions of patients in real-life to what they would decide on the same SMBG, as an a posteriori exercise. We also compared these decisions and those proposed by 6 diabetologists on the same sets of data to the recommendations made by HumaLink, an automated insulin dosage system.
RESULTS: 1) Patients in real-life modified their insulin doses least often. However, given a chance to make these decisions a posteriori, they modified their insulin doses more often. HumaLink proposed changes even more often, and diabetologists were the most aggressive in changing insulin doses. 2) The decisions proposed by the patients in real-life or a posteriori and by the diabetologists were compared to the recommendations made by HumaLink, using a decisions analysis grid (DAG). For these three groups, full disagreement with HumaLink (patient or physician increases while HumaLink decreases and the opposite) was observed for less than 5% of the cases. 3) By comparison to HumaLink, patient decisions seemed guided by the desire to avoid hypoglycemia. By contrast, decisions by diabetologists seemed often to be guided by the desire to avoid hyperglycemia.
CONCLUSION: These methods provide an objective evaluation of insulin dose adjustments by patients with diabetes and may be useful to assess the effectiveness of educational programs.

Entities:  

Keywords:  HumaLink; adherence; decision analysis grid; hypoglycemia; insulin adjustment

Year:  2007        PMID: 19888373      PMCID: PMC2769622          DOI: 10.1177/193229680700100102

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


  13 in total

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Journal:  Presse Med       Date:  1986-11-01       Impact factor: 1.228

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  10 in total

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Authors:  Pratik Choudhary; Stefano Genovese; Gérard Reach
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2.  Decisions in the Psychology of Glucose Monitoring.

Authors:  Gérard Reach
Journal:  J Diabetes Sci Technol       Date:  2019-06-14

3.  Can technology improve adherence to long-term therapies?

Authors:  Gérard Reach
Journal:  J Diabetes Sci Technol       Date:  2009-05-01

4.  Bolus Insulin Dose Error Distributions Based on Results From Two Clinical Trials Comparing Blood Glucose Monitoring Systems.

Authors:  Scott Pardo; Nancy Dunne; David A Simmons
Journal:  J Diabetes Sci Technol       Date:  2017-06-12

5.  Association of HbA1c to BOLUS Scores Among Youths with Type 1 Diabetes.

Authors:  Mark A Clements; Stephen A DeLurgio; David D Williams; Sana Habib; Kelsee Halpin; Susana R Patton
Journal:  Diabetes Technol Ther       Date:  2016-06       Impact factor: 6.118

6.  A novel method for measuring patients' adherence to insulin dosing guidelines: introducing indicators of adherence.

Authors:  Massoud Toussi; Carine Choleau; Gérard Reach; Michel Cahané; Avner Bar-Hen; Alain Venot
Journal:  BMC Med Inform Decis Mak       Date:  2008-12-05       Impact factor: 2.796

7.  An educational program for insulin self-adjustment associated with structured self-monitoring of blood glucose significantly improves glycemic control in patients with type 2 diabetes mellitus after 12 weeks: a randomized, controlled pilot study.

Authors:  Daniel Dutra Romualdo Silva; Adriana Aparecida Bosco
Journal:  Diabetol Metab Syndr       Date:  2015-01-15       Impact factor: 3.320

8.  Type 1 diabetes care: Improvement by standardization in a diabetes rehabilitation clinic. An observational report.

Authors:  Helmuth Haslacher; Hannelore Fallmann; Claudia Waldhäusl; Edith Hartmann; Oswald F Wagner; Werner Waldhäusl
Journal:  PLoS One       Date:  2018-03-12       Impact factor: 3.240

9.  Efficacy and Safety of Fast-Acting Insulin Aspart in People with Type 1 Diabetes Using Carbohydrate Counting: A Post Hoc Analysis of Two Randomised Controlled Trials.

Authors:  Ludger Rose; Takashi Kadowaki; Thomas R Pieber; Kristine Buchholtz; Magnus Ekelund; Anders Gorst-Rasmussen; Athena Philis-Tsimikas
Journal:  Diabetes Ther       Date:  2019-04-04       Impact factor: 2.945

10.  A pragmatic study of mid-mixture insulin and basal insulin treatment in patients with type 2 diabetes uncontrolled with oral antihyperglycaemic medications: A lesson from real-world experience.

Authors:  Xiaomei Zhang; Yujin Ma; Hong Chen; Ying Lou; Linong Ji; Lulu Chen
Journal:  Diabetes Obes Metab       Date:  2020-05-11       Impact factor: 6.577

  10 in total

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