Literature DB >> 22226284

Precision, accuracy, and user acceptance of the OneTouch SelectSimple blood glucose monitoring system.

Athena Philis-Tsimikas1, Anna Chang, Lupe Miller.   

Abstract

BACKGROUND: The OneTouch® SelectSimple™ blood glucose monitoring system (BGMS) is a device for self-monitoring of blood glucose designed for ease of use. Alarms alert subjects to low [20-69 mg/dl (1.1-3.8 mmol/liter)], high [180-239 mg/dl (9.9-13.2 mmol/liter)], and very high [240-600 mg/dl (13.3-33.1 mmol/liter)] blood glucose readings.
METHODS: Repeatability in blood and intermediate precision with aqueous controls were examined using blood from one donor adjusted to different glucose concentrations, and tested with 10 meters and 1 test-strip lot. System accuracy was evaluated with blood samples from 100 diabetes patients tested on 3 test-strip lots, compared with a reference system (YSI 2300 STAT). To test user accuracy, patients (n = 156) and health care professionals (HCPs) tested subject blood with the SelectSimple twice. Health care professionals evaluated subject BGMS technique after a 3-5 day home-testing period. Users evaluated the instructions for use and responded to a user acceptance questionnaire.
RESULTS: In repeatability and intermediate precision testing, the SelectSimple BGMS had a coefficient of variation of ≤ 5% or standard deviation of ≤ 5 mg/dl. In the clinical accuracy study, 100% of measurements <75 mg/dl (4.2 mmol/liter) were within ± 15 mg/dl (0.8 mmol/liter) of reference value, and 99.6% of measurements ≥ 75 mg/dl (4.2 mmol/liter) were within ±20%. Patients were able to use the BGMS appropriately and evaluated it as easy to use. Acceptance of the SelectSimple BGMS was within predefined limits.
CONCLUSIONS: In these studies, the SelectSimple BGMS met all criteria for precision, system, and user accuracy, was easy to use, and was well accepted by patients.
© 2011 Diabetes Technology Society.

Entities:  

Mesh:

Substances:

Year:  2011        PMID: 22226284      PMCID: PMC3262733          DOI: 10.1177/193229681100500638

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


  13 in total

1.  Prevalence of diabetes among men and women in China.

Authors:  Wenying Yang; Juming Lu; Jianping Weng; Weiping Jia; Linong Ji; Jianzhong Xiao; Zhongyan Shan; Jie Liu; Haoming Tian; Qiuhe Ji; Dalong Zhu; Jiapu Ge; Lixiang Lin; Li Chen; Xiaohui Guo; Zhigang Zhao; Qiang Li; Zhiguang Zhou; Guangliang Shan; Jiang He
Journal:  N Engl J Med       Date:  2010-03-25       Impact factor: 91.245

Review 2.  Diabetes in Asia: epidemiology, risk factors, and pathophysiology.

Authors:  Juliana C N Chan; Vasanti Malik; Weiping Jia; Takashi Kadowaki; Chittaranjan S Yajnik; Kun-Ho Yoon; Frank B Hu
Journal:  JAMA       Date:  2009-05-27       Impact factor: 56.272

3.  Standards of medical care in diabetes--2010.

Authors: 
Journal:  Diabetes Care       Date:  2010-01       Impact factor: 19.112

4.  Guidelines and recommendations for laboratory analysis in the diagnosis and management of diabetes mellitus.

Authors:  David B Sacks; Mark Arnold; George L Bakris; David E Bruns; Andrea Rita Horvath; M Sue Kirkman; Ake Lernmark; Boyd E Metzger; David M Nathan
Journal:  Diabetes Care       Date:  2011-06       Impact factor: 19.112

Review 5.  Self-monitoring of blood glucose in type 2 diabetes: systematic review.

Authors:  C Clar; K Barnard; E Cummins; P Royle; N Waugh
Journal:  Health Technol Assess       Date:  2010-03       Impact factor: 4.014

6.  Prevalence of diabetes and its risk factors in China, 1994. National Diabetes Prevention and Control Cooperative Group.

Authors:  X R Pan; W Y Yang; G W Li; J Liu
Journal:  Diabetes Care       Date:  1997-11       Impact factor: 19.112

7.  Consensus report of the coalition for clinical research-self-monitoring of blood glucose.

Authors:  David C Klonoff; Richard Bergenstal; Lawrence Blonde; Suzanne Austin Boren; Timothy S Church; Jenifer Gaffaney; Lois Jovanovic; David M Kendall; Craig Kollman; Boris P Kovatchev; Claudia Leippert; David R Owens; William H Polonsky; Gérard Reach; Eric Renard; Michael C Riddell; Richard R Rubin; Oliver Schnell; Linda M Siminiero; Robert A Vigersky; Darrell M Wilson; Alison Okada Wollitzer
Journal:  J Diabetes Sci Technol       Date:  2008-11

Review 8.  How numeracy influences risk comprehension and medical decision making.

Authors:  Valerie F Reyna; Wendy L Nelson; Paul K Han; Nathan F Dieckmann
Journal:  Psychol Bull       Date:  2009-11       Impact factor: 17.737

9.  Statement by an American Association of Clinical Endocrinologists/American College of Endocrinology consensus panel on type 2 diabetes mellitus: an algorithm for glycemic control.

Authors:  Helena W Rodbard; Paul S Jellinger; Jaime A Davidson; Daniel Einhorn; Alan J Garber; George Grunberger; Yehuda Handelsman; Edward S Horton; Harold Lebovitz; Philip Levy; Etie S Moghissi; Stanley S Schwartz
Journal:  Endocr Pract       Date:  2009 Sep-Oct       Impact factor: 3.443

10.  Instruments for self-monitoring of blood glucose: comparisons of testing quality achieved by patients and a technician.

Authors:  Svein Skeie; Geir Thue; Kari Nerhus; Sverre Sandberg
Journal:  Clin Chem       Date:  2002-07       Impact factor: 8.327

View more
  5 in total

1.  Analysis of the performance of the OneTouch SelectSimple blood glucose monitoring system: why ease of use studies need to be part of accuracy studies.

Authors:  Jan S Krouwer
Journal:  J Diabetes Sci Technol       Date:  2011-11-01

2.  Comparative Evaluations of Randomly Selected Four Point-of-Care Glucometer Devices in Addis Ababa, Ethiopia.

Authors:  Mistire Wolde; Getahun Tarekegn; Tedla Kebede
Journal:  J Diabetes Sci Technol       Date:  2018-01-17

3.  A randomized controlled trial comparing health and quality of life of lung transplant recipients following nurse and computer-based triage utilizing home spirometry monitoring.

Authors:  Stanley M Finkelstein; Bruce R Lindgren; William Robiner; Ruth Lindquist; Marshall Hertz; Bradley P Carlin; Arin VanWormer
Journal:  Telemed J E Health       Date:  2013-10-01       Impact factor: 3.536

4.  Mouth Rinsing with Maltodextrin Solutions Fails to Improve Time Trial Endurance Cycling Performance in Recreational Athletes.

Authors:  Tuğba Nilay Kulaksız; Şükran Nazan Koşar; Suleyman Bulut; Yasemin Güzel; Marcus Elisabeth Theodorus Willems; Tahir Hazir; Hüseyin Hüsrev Turnagöl
Journal:  Nutrients       Date:  2016-05-09       Impact factor: 5.717

5.  "We shall have gone to a higher standard": Training village heath teams (VHTs) to use a smartphone-guided intervention to link older Ugandans with hypertension and diabetes to care.

Authors:  Joseph Okello Mugisha; Janet Seeley
Journal:  AAS Open Res       Date:  2021-12-01
  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.