Literature DB >> 19254484

Blood glucose self-monitoring in type 2 diabetes: a randomised controlled trial.

A J Farmer1, A N Wade, D P French, J Simon, P Yudkin, A Gray, A Craven, L Goyder, R R Holman, D Mant, A-L Kinmonth, H A W Neil.   

Abstract

OBJECTIVES: To determine whether self-monitoring of blood glucose (SMBG), either alone or with additional instruction in incorporating the results into self-care, is more effective than usual care in improving glycaemic control in non-insulin-treated diabetes.
DESIGN: An open, parallel group randomised controlled trial.
SETTING: 24 general practices in Oxfordshire and 24 in South Yorkshire, UK. PARTICIPANTS: Patients with non-insulin-treated type 2 diabetes, aged > or = 25 years and with glycosylated haemoglobin (HbA1c) > or = 6.2%.
INTERVENTIONS: A total of 453 patients were individually randomised to one of: (1) standardised usual care with 3-monthly HbA1c (control, n = 152); (2) blood glucose self-testing with patient training focused on clinician interpretation of results in addition to usual care (less intensive self-monitoring, n = 150); (3) SMBG with additional training of patients in interpretation and application of the results to enhance motivation and maintain adherence to a healthy lifestyle (more intensive self-monitoring, n = 151). MAIN OUTCOME MEASURES: The primary outcome was HBA1c at 12 months, and an intention-to-treat analysis, including all patients, was undertaken. Blood pressure, lipids, episodes of hypoglycaemia and quality of life, measured with the EuroQol 5 dimensions (EQ-5D), were secondary measures. An economic analysis was also carried out, and questionnaires were used to measure well-being, beliefs about use of SMBG and self-reports of medication taking, dietary and physical activities, and health-care resource use.
RESULTS: The differences in 12-month HbA1c between the three groups (adjusted for baseline HbA1c) were not statistically significant (p = 0.12). The difference in unadjusted mean change in HbA1c from baseline to 12 months between the control and less intensive self-monitoring groups was -0.14% [95% confidence interval (CI) -0.35 to 0.07] and between the control and more intensive self-monitoring groups was -0.17% (95% CI -0.37 to 0.03). There was no evidence of a significantly different impact of self-monitoring on glycaemic control when comparing subgroups of patients defined by duration of diabetes, therapy, diabetes-related complications and EQ-5D score. The economic analysis suggested that SMBG resulted in extra health-care costs and was unlikely to be cost-effective if used routinely. There appeared to be an initial negative impact of SMBG on quality of life measured on the EQ-5D, and the potential additional lifetime gains in quality-adjusted life-years, resulting from the lower levels of risk factors achieved at the end of trial follow-up, were outweighed by these initial impacts for both SMBG groups compared with control. Some patients felt that SMBG was helpful, and there was evidence that those using more intensive self-monitoring perceived diabetes as having more serious consequences. Patients using SMBG were often not clear about the relationship between their behaviour and the test results.
CONCLUSIONS: While the data do not exclude the possibility of a clinically important benefit for specific subgroups of patients in initiating good glycaemic control, SMBG by non-insulin-treated patients, with or without instruction in incorporating findings into self-care, did not lead to a significant improvement in glycaemic control compared with usual care monitored by HbA1c levels. There was no convincing evidence to support a recommendation for routine self-monitoring of all patients and no evidence of improved glycaemic control in predefined subgroups of patients.

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Year:  2009        PMID: 19254484     DOI: 10.3310/hta13150

Source DB:  PubMed          Journal:  Health Technol Assess        ISSN: 1366-5278            Impact factor:   4.014


  36 in total

1.  Safety during the monitoring of diabetic patients: trial teaching course on health professionals and diabetics - SEGUDIAB study.

Authors:  Juan J Cabré; Marta Ripoll; Josep M Hernández; Josep Basora; Ferran Bejarano; Victoria Arija
Journal:  BMC Public Health       Date:  2011-06-05       Impact factor: 3.295

2.  Association between sitagliptin adherence and self-monitoring of blood glucose.

Authors:  Somesh Nigam; Naunihal S Virdi; Mehmet Daskiran; Chris M Kozma; Andrew Paris; William M Dickson
Journal:  J Diabetes Sci Technol       Date:  2012-05-01

3.  Glucose self-monitoring: an end in itself or the Holy Grail?

Authors:  Jochen Seufert
Journal:  Dtsch Arztebl Int       Date:  2009-09-11       Impact factor: 5.594

Review 4.  A meta-analysis of health state valuations for people with diabetes: explaining the variation across methods and implications for economic evaluation.

Authors:  Tom W C Lung; Alison J Hayes; Andrew Hayen; Andrew Farmer; Philip M Clarke
Journal:  Qual Life Res       Date:  2011-04-07       Impact factor: 4.147

5.  Systematic review of use of blood glucose test strips for the management of diabetes mellitus.

Authors: 
Journal:  CADTH Technol Overv       Date:  2010-06-01

Review 6.  Interventions to enhance adherence to dietary advice for preventing and managing chronic diseases in adults.

Authors:  Sophie Desroches; Annie Lapointe; Stéphane Ratté; Karine Gravel; France Légaré; Stéphane Turcotte
Journal:  Cochrane Database Syst Rev       Date:  2013-02-28

7.  Effects of diabetes self-management programs on time-to-hospitalization among patients with type 2 diabetes: a survival analysis model.

Authors:  Omolola E Adepoju; Jane N Bolin; Charles D Phillips; Hongwei Zhao; Robert L Ohsfeldt; Darcy K McMaughan; Janet W Helduser; Samuel N Forjuoh
Journal:  Patient Educ Couns       Date:  2014-01-13

8.  Self-Monitoring of Blood Glucose in Youth-Onset Type 2 Diabetes: Results From the TODAY Study.

Authors:  Ruth S Weinstock; Barbara H Braffett; Paul McGuigan; Mary E Larkin; Nisha B Grover; Natalie Walders-Abramson; Lori M Laffel; Christine L Chan; Nancy Chang; Beth E Schwartzman; Rose Ann Barajas; Nicole Celona-Jacobs; Morey W Haymond
Journal:  Diabetes Care       Date:  2019-03-04       Impact factor: 19.112

Review 9.  Patient-Centered Outcomes of Medication Adherence Interventions: Systematic Review and Meta-Analysis.

Authors:  Vicki S Conn; Todd M Ruppar; Maithe Enriquez; Pamela S Cooper
Journal:  Value Health       Date:  2016-01-14       Impact factor: 5.725

Review 10.  Effectiveness and safety of patient activation interventions for adults with type 2 diabetes: systematic review, meta-analysis, and meta-regression.

Authors:  Shari D Bolen; Apoorva Chandar; Corinna Falck-Ytter; Carl Tyler; Adam T Perzynski; Alida M Gertz; Paulette Sage; Steven Lewis; Maurine Cobabe; Ying Ye; Michelle Menegay; Donna M Windish
Journal:  J Gen Intern Med       Date:  2014-04-15       Impact factor: 5.128

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