Literature DB >> 28264176

The First Use of Bolus Calculator With Speech Analyzer.

Karolina Mazurczak1, Ewa Pańkowska1, Piotr Ładyżyński2, Piotr Foltyński2.   

Abstract

BACKGROUND: The insulin therapy in type 1 diabetes involves a wide array of restrictions in patients and their families. One of those is a difficulty in estimation of the insulin dose programmed for each meal. The purpose of the study is an assessment of functionalities related to the expert system VoiceDiab-a calculator of meal boluses.
METHODS: The sample group composed of 54 patients, aged 3-52, all suffering from type 1 diabetes, treated with the insulin pump, taking part in the clinics RCT (for adults and a pediatrician), with a randomized allocation to a surveyed group and cross-over. The research methodology was based upon questionnaires and open-ended questions.
RESULTS: 40% of respondents recognized the application's usefulness as high (18 of 47), giving it 10 points, and easy to use (70%). Disadvantages of this app comprised lack of some products in the application database (n = 23), troubles with the mobile range ( n = 4), and no option of a manual data input for processing purposes (n = 23). Advantages, that have been mentioned the most frequently included facilitation of measurements (n = 7), enhanced life quality of the patient (n = 8), and a guarantee of prompt and thorough calculations (n = 22). Of the surveyed individuals, 50% reached their diet, while 100% gave a top grade to the application, claiming it had contributed to a more efficient metabolic control.
CONCLUSION: The pilot scheme of the expert system VoiceDiab has potential to become an application, facilitating dosing of the meal insulin and improving the comfort and safety of insulin administering. However, it needs to be modified, as mentioned by the users who have tested the system.

Entities:  

Keywords:  bolus calculator; diet; meal insulin dosing; type 1 diabetes

Mesh:

Substances:

Year:  2016        PMID: 28264176      PMCID: PMC5375088          DOI: 10.1177/1932296816683963

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


  9 in total

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Journal:  Pediatr Diabetes       Date:  2009-09       Impact factor: 4.866

2.  ISPAD Clinical Practice Consensus Guidelines 2014. Other complications and diabetes-associated conditions in children and adolescents.

Authors:  Olga Kordonouri; Georgeanna Klingensmith; Mikael Knip; Reinhard W Holl; Henk-Jan Aanstoot; Puthezhath S N Menon; Maria E Craig
Journal:  Pediatr Diabetes       Date:  2014-09       Impact factor: 4.866

3.  ISPAD Clinical Practice Consensus Guidelines 2014. Nutritional management in children and adolescents with diabetes.

Authors:  Carmel E Smart; Francesca Annan; Luciana P C Bruno; Laurie A Higgins; Carlo L Acerini
Journal:  Pediatr Diabetes       Date:  2014-09       Impact factor: 4.866

Review 4.  Bolus calculators.

Authors:  Signe Schmidt; Kirsten Nørgaard
Journal:  J Diabetes Sci Technol       Date:  2014-05-19

Review 5.  Eating problems in adolescents with Type 1 diabetes: a systematic review with meta-analysis.

Authors:  V Young; C Eiser; B Johnson; S Brierley; T Epton; J Elliott; S Heller
Journal:  Diabet Med       Date:  2013-02       Impact factor: 4.359

6.  Training in flexible, intensive insulin management to enable dietary freedom in people with type 1 diabetes: dose adjustment for normal eating (DAFNE) randomised controlled trial.

Authors: 
Journal:  BMJ       Date:  2002-10-05

7.  Intuitive eating is associated with glycaemic control in adolescents with type I diabetes mellitus.

Authors:  B J Wheeler; J Lawrence; M Chae; H Paterson; A R Gray; D Healey; D M Reith; B J Taylor
Journal:  Appetite       Date:  2015-09-25       Impact factor: 3.868

8.  Patient perspectives on personalized glucose advisory systems for type 1 diabetes management.

Authors:  Jaclyn A Shepard; Linda Gonder-Frederick; Karen Vajda; Boris Kovatchev
Journal:  Diabetes Technol Ther       Date:  2012-08-02       Impact factor: 6.118

9.  Carbohydrate intake is associated with time spent in the euglycemic range in patients with type 1 diabetes.

Authors:  Shiho Ayano-Takahara; Kaori Ikeda; Shimpei Fujimoto; Kanae Asai; Yasuo Oguri; Shin-Ichi Harashima; Hidemi Tsuji; Kenichiro Shide; Nobuya Inagaki
Journal:  J Diabetes Investig       Date:  2015-05-19       Impact factor: 4.232

  9 in total
  2 in total

Review 1.  App-Based Insulin Calculators: Current and Future State.

Authors:  Leslie Eiland; Meghan McLarney; Thiyagarajan Thangavelu; Andjela Drincic
Journal:  Curr Diab Rep       Date:  2018-10-04       Impact factor: 4.810

2.  Accuracy of Automatic Carbohydrate, Protein, Fat and Calorie Counting Based on Voice Descriptions of Meals in People with Type 1 Diabetes.

Authors:  Piotr Ladyzynski; Janusz Krzymien; Piotr Foltynski; Monika Rachuta; Barbara Bonalska
Journal:  Nutrients       Date:  2018-04-21       Impact factor: 5.717

  2 in total

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