Literature DB >> 24635880

Effectiveness and cost-effectiveness of 3-monthly versus 6-monthly monitoring of well-controlled type 2 diabetes patients: a pragmatic randomised controlled patient-preference equivalence trial in primary care (EFFIMODI study).

P R Wermeling1, K J Gorter, R K Stellato, G A de Wit, J W J Beulens, G E H M Rutten.   

Abstract

AIM: To investigate effectiveness and cost-effectiveness of 6-monthly monitoring compared with 3-monthly monitoring of well-controlled type 2 diabetes patients in primary care.
METHODS: A pragmatic randomised controlled patient-preference equivalence trial was performed. From April 2009 to August 2010, 2215 patients from 233 general practitioners across the Netherlands were included. Patients were eligible if between 40- and 80-years-old, diagnosed with type 2 diabetes for more than a year, treated by their general practitioner, not on insulin treatment and well-controlled during the last year (HbA1c ≤ 58 mmol/mol, systolic blood pressure ≤ 145 mmHg and total cholesterol ≤ 5.2 mmol/l). Patients without a strong preference for their monitoring frequency were randomised to 3-monthly or 6-monthly monitoring. Follow-up was 18 months. The primary outcome is the percentage of patients remaining under: HbA1c ≤ 58 mmol/mol, systolic blood pressure ≤ 145 mmHg and total cholesterol ≤ 5.2 mmol/l. Equivalence was assumed if the two-sided 95% confidence interval (CI) was between -5 and 5%. Cost-effectiveness was determined using a cost-minimisation analysis.
RESULTS: In the 3-monthly group 69.5% remained under good cardiometabolic control, versus 69.8% in the 6-monthly group (difference: 0.3%; 95%CI: -6.2-6.7%). All secondary outcomes were equivalent for 3-monthly and 6-monthly monitoring, except the systolic blood pressure target, physical activity and antihypertensive drug use. Six-monthly monitoring was €387 (£333) cheaper per patient compared to 3-monthly monitoring during the study period.
CONCLUSIONS: Patients with good cardiometabolic control and without preference for their monitoring frequency can visit the primary care physician less often. The cost-savings can be considerable.
© 2014 John Wiley & Sons Ltd.

Entities:  

Keywords:  diabetes mellitus; primary care; randomised trial

Mesh:

Substances:

Year:  2014        PMID: 24635880     DOI: 10.1111/dom.12288

Source DB:  PubMed          Journal:  Diabetes Obes Metab        ISSN: 1462-8902            Impact factor:   6.577


  12 in total

1.  Systolic Blood Pressure Control Among Individuals With Type 2 Diabetes: A Comparative Effectiveness Analysis of Three Interventions.

Authors:  Mark A Espeland; Jeffery Probstfield; Donald Hire; J Bruce Redmon; Gregory W Evans; Mace Coday; Cora E Lewis; Karen C Johnson; Sharon Wilmoth; Judy Bahnson; Michael F Dulin; Jennifer B Green; William C Knowler; Abbas Kitabchi; Anne L Murillo; Kwame Osei; Shakaib U Rehman; William C Cushman
Journal:  Am J Hypertens       Date:  2015-02-09       Impact factor: 2.689

2.  Economic comparison of the monitoring programmes for bluetongue vectors in Austria and Switzerland.

Authors:  B Pinior; K Brugger; J Köfer; H Schwermer; S Stockreiter; A Loitsch; F Rubel
Journal:  Vet Rec       Date:  2015-04-03       Impact factor: 2.695

Review 3.  Uncovering heart failure with preserved ejection fraction in patients with type 2 diabetes in primary care: time for a change.

Authors:  L J M Boonman-de Winter; M J Cramer; A W Hoes; F H Rutten
Journal:  Neth Heart J       Date:  2016-04       Impact factor: 2.380

4.  A risk score including body mass index, glycated haemoglobin and triglycerides predicts future glycaemic control in people with type 2 diabetes.

Authors:  Dorijn F L Hertroijs; Arianne M J Elissen; Martijn C G J Brouwers; Nicolaas C Schaper; Sebastian Köhler; Mirela C Popa; Stylianos Asteriadis; Steven H Hendriks; Henk J Bilo; Dirk Ruwaard
Journal:  Diabetes Obes Metab       Date:  2017-11-24       Impact factor: 6.577

5.  Internet-based Self-Management Support for Patients With Well-Controlled Type 2 Diabetes: A Real-Life Study.

Authors:  Huberta E Hart; Inge Etm Geilen; Elke de Leeuw; Guy Ehm Rutten; Rimke C Vos
Journal:  JMIR Res Protoc       Date:  2017-03-23

6.  Cluster randomised trial on the effectiveness of a computerised prompt to refer (back) patients with type 2 diabetes.

Authors:  Maaike C M Ronda; Lioe-Ting Dijkhorst-Oei; Rimke C Vos; Paul Westers; Guy E H M Rutten
Journal:  PLoS One       Date:  2018-12-05       Impact factor: 3.240

Review 7.  Interpretation and Impact of Real-World Clinical Data for the Practicing Clinician.

Authors:  Lawrence Blonde; Kamlesh Khunti; Stewart B Harris; Casey Meizinger; Neil S Skolnik
Journal:  Adv Ther       Date:  2018-10-24       Impact factor: 3.845

8.  Relevant patient characteristics for estimating healthcare needs according to healthcare providers and people with type 2 diabetes: a Delphi survey.

Authors:  Dorijn F L Hertroijs; Martijn C G J Brouwers; Arianne M J Elissen; Nicolaas C Schaper; Dirk Ruwaard
Journal:  BMC Health Serv Res       Date:  2019-08-16       Impact factor: 2.655

9.  Association between GP participation in a primary care group and monitoring of biomedical and lifestyle target indicators in people with type 2 diabetes: a cohort study (ELZHA cohort-1).

Authors:  Sytske van Bruggen; Simone P Rauh; Tobias N Bonten; Niels H Chavannes; Mattijs E Numans; Marise J Kasteleyn
Journal:  BMJ Open       Date:  2020-04-27       Impact factor: 2.692

10.  Preferences of people with Type 2 diabetes for diabetes care: a discrete choice experiment.

Authors:  D F L Hertroijs; A M J Elissen; M C G J Brouwers; M Hiligsmann; N C Schaper; D Ruwaard
Journal:  Diabet Med       Date:  2019-05-06       Impact factor: 4.359

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