Mobile phone messaging - A telemedicine for people with diabetes mellitus

Cochrane Database of Systematic Reviews

Volumn , Issue 1, 2007, Pages

  Upadhyay, Neil ^a   Kokalj Kokot, M ^b,b   Svab, I ^b   Car, J ^b  

^a IMPERIAL COLLEGE LONDON   (United Kingdom)

^b NONE

Author keywords

[No Author keywords available]

Indexed keywords

CLINICAL TRIAL; DATA ANALYSIS; DIABETES MELLITUS; HUMAN; INFORMATION DISSEMINATION; INFORMATION SERVICE; INTERNET; MASS COMMUNICATION; METHODOLOGY; MOBILE PHONE; MOTIVATION; MULTIMEDIA MESSAGE DEVICE; PATIENT EDUCATION; REVIEW; SHORT MESSAGE SERVICE; TELEMEDICINE;

EID: 44949260105     PISSN: 1469493X     EISSN: None     Source Type: Journal    
DOI: 10.1002/14651858.CD006393     Document Type: Review

References (21)

1. ADA 1997 American Diabetes Association. Report on the Expert Committee on the Diagnosis and Classification of Diabetes Mellitus. Diabetes Care 1997;20 Suppl 1:S5-20.
2. Butler 2005 Cell phones may help "save" Africa. http://news.mongabay.com/2005/0712-rhett_butler.html.
3. Cohen 1960 Cohen J. A coefficient of agreement for nominal scales. Educational and Psychological Measurement 1960;20:37-46.
4. Eurostat 2005 Eurostat. Around 80 mobile subscriptions per 100 inhabitants in the EU25 in 2003. Eurostat News Release 2005.
5. Gammon 2005 Gammon D, Arsand E, Walseth O.A, Andersson N, Jenssen M, Taylor T. Parent-Child Interaction Using a Mobile and Wireless System for Blood Glucose Monitoring. Journal of Medical Internet Research 2005;7(5):e57.
6. Higgins 2003 Higgins JPT, Thompson SG, Deeks JJ, Altman DG. Measuring inconsistency in meta-analysis. BMJ 2003;327:557-60.
7. Higgins 2005 Higgins JPT, Green S, editors. Cochrane Handbook for Systematic Reviews of Interventions 4.2.5 [updated May 2005]. In: The Cochrane Library, Issue 3, 2005. Chichester, UK: John Wiley & Sons, Ltd.
8. IDF 2003 International Diabetes Federation. Diabetes Atlas. www.eatlas.idf.org/about_e_Atlas.
9. ITU & KADO 2004 International Telecommunication Union and Korea Agency for Digital Opportunity and Promotion. Digital Bridges Symposium. 2004.
10. Jadad 1996 Jadad A, Moore R, Carroll D, Jenkinson C, Reynolds D, Gavaghan D, et al.Assessing the quality control of randomised control trails: is blinding necessary. Controlled Clinical Trials 1996;17(1):1-12.
11. Kim 2005 Kim HS, Yoo YS, Shim HS. Effects of an Internet-based intervention on plasma glucose levels in patients with type 2 diabetes. Journal of nursing care quality 2005;20(4):335-40.
12. Kim 2006 Kim HS, Kim NC, Ahn SH. Impact of a nurse short message service intervention for patients with diabetes. Journal of nursing care quality 2006;21(3):266-71.
13. MORI 2005 MORI. MORI Techonology Tracker. :http: //www.mori.com/technology/techtracker.shtml Accessed 21 August 2006.
14. Netsize 2004 Netsize. The Netsize Guide. Netsize Group, 2004.
15. Schulz 1995 Schulz K, Chalmers I, Hayes R, Altman D. Empirical evidence of bias. Dimensions of methodological quality associated with estimates of treatment effects in controlled trials. JAMA 1995;273(5):408- 12.
16. Stevens 1994 Stevens A, Raferty J. Health care needs assessment, the epidemiologically based needs assessment reviews. Oxford: Radcliffe Medical Press, 1994.
17. WHO 1980 WHO Expert Committee on Diabetes Mellitus. Second report.Technical Report Series 646. Geneva. WHO, 1980.
18. WHO 1985 WHO Expert Committee on Diabetes Mellitus. World Health Organization, 1985. Technical Report Series 727.
19. WHO 1998 World Health Organisation. Therapeutic Patient Education: continuing education programmes for healthcare providers in the field of prevention of chronic disease. Report of WHO Working Group 1998.
20. WHO 2002 World Health Organisation. Diabetes: The cost of diabetes. www.who.int/mediacentre/factsheets/fs236/en/ (accessed 3 August 2006).
21. Wild 2004 Wild S, Roglic G, Green A, Sicree R, King H. Global Prevalence of Diabetes. Estimates for the year 2000 and projections for 2030. Diabetes Care 2004;27:1047-53.