Advertisement
Review| Volume 8, ISSUE 4, P275-285, December 2014

Download started.

Ok

Health education via mobile text messaging for glycemic control in adults with type 2 diabetes: A systematic review and meta-analysis

  • Mohsen Saffari
    Correspondence
    Corresponding author at: Health Research Center, Baqiyatallah University of Medical Sciences, Tehran, Iran; and Health Education Department, School of Health, Baqiyatallah University of Medical Sciences, Tehran, Iran. Tel.: +98 21 88040153; fax: +98 21 88608499.
    Affiliations
    Health Research Center, Baqiyatallah University of Medical Sciences, Tehran, Iran

    Health Education Department, School of Health, Baqiyatallah University of Medical Sciences, Tehran, Iran
    Search for articles by this author
  • Ghader Ghanizadeh
    Affiliations
    Health Research Center, Baqiyatallah University of Medical Sciences, Tehran, Iran
    Search for articles by this author
  • Harold G. Koenig
    Affiliations
    Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, NC, USA

    King Abdulaziz University, Jeddah, Saudi Arabia
    Search for articles by this author

      Abstract

      Background

      Diabetes type 2 is an increasing problem worldwide that may be managed through education. Text-messaging using a cell phone can assist with self-care. The aim of this study was to systematically review the impact of education through mobile text-messaging on glycemic control.

      Methods

      The design was a systematic review with meta-analysis. Five electronic databases were searched to access English studies involving a randomized controlled trial design that used text-messaging educational interventions in patients with type 2 diabetes during an 11-year period (2003–2013). Studies were evaluated using a quality assessment scale adapted from Jadad scale and Cochrane handbook. Extraction of data was carried out by two reviewers. A random-effect model with a standardized mean difference and Hedges's g indices was used for conducting the meta-analysis. Subgroup analyses were conducted and a Funnel plot was used to examine publication bias.

      Results

      Ten studies overall were identified that fulfilled inclusion criteria, involving a total of 960 participants. The mean age of the sample was 52.8 years and majority were females. Data were heterogeneous (I2 = 67.6). Analyses suggested a publication bias based on Egger's regression (P < 0.05). HbA1c was reduced significantly in experimental groups compared to control groups (P < 0.001). The effect size for glycemic control in studies that used text-messaging only was 44%. For studies that used both text-messaging and Internet, the effect size was 86%.

      Conclusion

      Mobile text-messaging for educating Type 2 diabetics appears to be effective on glycemic control. Further investigations on mobile applications to achieve educational goals involving other diseases are recommended.

      Keywords

      To read this article in full you will need to make a payment

      Purchase one-time access:

      Academic & Personal: 24 hour online accessCorporate R&D Professionals: 24 hour online access
      One-time access price info
      • For academic or personal research use, select 'Academic and Personal'
      • For corporate R&D use, select 'Corporate R&D Professionals'

      Subscribe:

      Subscribe to Primary Care Diabetes
      Already a print subscriber? Claim online access
      Already an online subscriber? Sign in
      Institutional Access: Sign in to ScienceDirect

      References

        • WHO
        Diabetes.
        2013
        • Wild S.
        • Roglic G.
        • Green A.
        • Sicree R.
        • King H.
        Global prevalence of diabetes: estimates for the year 2000 and projections for 2030.
        Diab. Care. 2004; 27: 1047-1053
        • Call R.J.
        • Wofford M.R.
        • Riche D.M.
        Top 10 facts you should know about diabetes.
        J. Mississippi State Med. Assoc. 2012; 53: 275-277
        • Lyles C.R.
        • Grothaus L.
        • Reid R.J.
        • Sarkar U.
        • Ralston J.D.
        Communication about diabetes risk factors during between-visit encounters.
        Am. J. Managed Care. 2012; 18: 807-815
        • Meng X.H.
        • Huang Y.X.
        • Rao D.P.
        • Zhang Q.
        • Liu Q.
        Comparison of three data mining models for predicting diabetes or prediabetes by risk factors.
        Kaohsiung J. Med. Sci. 2013; 29: 93-99
        • Hawthorne K.
        • Robles Y.
        • Cannings-John R.
        • Edwards A.G.
        Culturally appropriate health education for Type 2 diabetes in ethnic minority groups: a systematic and narrative review of randomized controlled trials.
        Diab. Med. Br. Diab. Assoc. 2010; 27: 613-623
        • Kim M.Y.
        • Suh S.
        • Jin S.M.
        • Kim S.W.
        • Bae J.C.
        • Hur K.Y.
        • Kim S.H.
        • Rha M.Y.
        • Cho Y.Y.
        • Lee M.S.
        • Lee M.K.
        • Kim K.W.
        • Kim J.H.
        Education as prescription for patients with type 2 diabetes mellitus: compliance and efficacy in clinical practice.
        Diab. Metabolism J. 2012; 36: 452-459
        • Harris T.
        • Silva S.
        • Intini R.
        • Smith T.
        • Vorderstrasse A.
        Group diabetes self-management education in a primary care setting: a quality improvement project.
        J. Nurs. Care Quality. 2013; 29: 188-193
        • Korytkowski M.T.
        • Koerbel G.L.
        • Kotagal L.
        • Donihi A.
        • Dinardo M.M.
        Pilot trial of diabetes self-management education in the hospital setting.
        Primary Care Diab. 2013;
        • Norris S.L.
        • Lau J.
        • Smith S.J.
        • Schmid C.H.
        • Engelgau M.M.
        Self-management education for adults with type 2 diabetes: a meta-analysis of the effect on glycemic control.
        Diab. Care. 2002; 25: 1159-1171
        • Gurkova E.
        • Cap J.
        • Ziakova K.
        Quality of life and treatment satisfaction in the context of diabetes self-management education.
        Int. J. Nurs. Pract. 2009; 15: 91-98
        • Cochran J.
        • Conn V.S.
        Meta-analysis of quality of life outcomes following diabetes self-management training.
        Diab. Educator. 2008; 34: 815-823
        • Khunti K.
        • Gray L.J.
        • Skinner T.
        • Carey M.E.
        • Realf K.
        • Dallosso H.
        • Fisher H.
        • Campbell M.
        • Heller S.
        • Davies M.J.
        Effectiveness of a diabetes education and self management programme (DESMOND) for people with newly diagnosed type 2 diabetes mellitus: three year follow-up of a cluster randomised controlled trial in primary care.
        BMJ. 2012; 344: e2333
        • Shah B.R.
        • Booth G.L.
        Predictors and effectiveness of diabetes self-management education in clinical practice.
        Patient Educ. Counsel. 2009; 74: 19-22
        • Wabe N.T.
        • Angamo M.T.
        • Hussein S.
        Medication adherence in diabetes mellitus and self management practices among type-2 diabetics in Ethiopia.
        N. Am. J. Med. Sci. 2011; 3: 418-423
        • Loveman E.
        • Cave C.
        • Green C.
        • Royle P.
        • Dunn N.
        • Waugh N.
        The clinical and cost-effectiveness of patient education models for diabetes: a systematic review and economic evaluation.
        Health Technol. Assess. 2003; 7: 1-190
        • Basak Cinar A.
        • Schou L.
        Health promotion for patients with diabetes: health coaching or formal health education?.
        Int. Dental J. 2013; 64: 20-28
        • Wright K.B.
        • Moore S.D.
        Applied Health Communication.
        Hampton Press, Cresskill, NJ2008
        • Toyama H.
        • Inoue R.
        • Ito Y.
        • Sakamoto C.
        • Ishikawa T.
        • Eda T.
        • Saito K.
        Electronic teaching materials for inter-professional education in a college of medical professionals.
        Stud. Health Technol. Inform. 2013; 192: 1119
        • Corpman D.W.
        Mobile health in China: a review of research and programs in medical care, health education, and public health.
        J. Health Commun. 2013; 18: 1345-1367
        • Fanning J.
        • Mullen S.P.
        • McAuley E.
        Increasing physical activity with mobile devices: a meta-analysis.
        J. Med. Internet Res. 2012; 14: e161
        • MCI
        Mobile Services in Iran.
        Mobile Communication of Iran, 2013
        • Liang X.
        • Wang Q.
        • Yang X.
        • Cao J.
        • Chen J.
        • Mo X.
        • Huang J.
        • Wang L.
        • Gu D.
        Effect of mobile phone intervention for diabetes on glycaemic control: a meta-analysis.
        Diab. Med. Br. Diab. Assoc. 2011; 28: 455-463
        • Wangberg S.C.
        • Arsand E.
        • Andersson N.
        Diabetes education via mobile text messaging.
        J. Telemed. Telecare. 2006; 12: 55-56
        • Jadad A.R.
        • Moore R.A.
        • Carroll D.
        • Jenkinson C.
        • Reynolds D.J.
        • Gavaghan D.J.
        • McQuay H.J.
        Assessing the quality of reports of randomized clinical trials: is blinding necessary?.
        Control. Clin. Trials. 1996; 17: 1-12
        • Higgins J.P.T.
        • Green S.
        • Cochrane Collaboration
        Cochrane Handbook for Systematic Reviews of Interventions.
        Wiley-Blackwell, Chichester, England/Hoboken, NJ2008
        • Hedges L.V.
        • Olkin I.
        Statistical Methods for Meta-Analysis.
        Academic Press, Orlando1985
        • Cohen J.
        Statistical Power Analysis for the Behavioral Sciences.
        2nd ed. L. Erlbaum Associates, Hillsdale, NJ1988
        • Patsopoulos N.A.
        • Evangelou E.
        • Ioannidis J.P.
        Sensitivity of between-study heterogeneity in meta-analysis: proposed metrics and empirical evaluation.
        Int. J. Epidemiol. 2008; 37: 1148-1157
        • Sutton A.J.
        • Duval S.J.
        • Tweedie R.L.
        • Abrams K.R.
        • Jones D.R.
        Empirical assessment of effect of publication bias on meta-analyses.
        BMJ. 2000; 320: 1574-1577
        • Begg C.B.
        • Mazumdar M.
        Operating characteristics of a rank correlation test for publication bias.
        Biometrics. 1994; 50: 1088-1101
        • Egger M.
        • Davey Smith G.
        • Schneider M.
        • Minder C.
        Bias in meta-analysis detected by a simple, graphical test.
        BMJ. 1997; 315: 629-634
        • Moher D.
        • Liberati A.
        • Tetzlaff J.
        • Altman D.G.
        • Group P.
        Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement.
        J. Clin. Epidemiol. 2009; 62: 1006-1012
        • Liu C.T.
        • Yeh Y.T.
        • Lee T.I.
        • Li Y.C.
        Observations on online services for diabetes management.
        Diab. Care. 2005; 28: 2807-2808
        • Kim H.S.
        A randomized controlled trial of a nurse short-message service by cellular phone for people with diabetes.
        Int. J. Nurs. Stud. 2007; 44: 687-692
        • Faridi Z.
        • Liberti L.
        • Shuval K.
        • Northrup V.
        • Ali A.
        • Katz D.L.
        Evaluating the impact of mobile telephone technology on type 2 diabetic patients’ self-management: the NICHE pilot study.
        J. Evaluation Clin. Pract. 2008; 14: 465-469
        • Yoon K.H.
        • Kim H.S.
        A short message service by cellular phone in type 2 diabetic patients for 12 months.
        Diab. Res. Clin. Pract. 2008; 79: 256-261
        • Yoo H.J.
        • Park M.S.
        • Kim T.N.
        • Yang S.J.
        • Cho G.J.
        • Hwang T.G.
        • Baik S.H.
        • Choi D.S.
        • Park G.H.
        • Choi K.M.
        A ubiquitous chronic disease care system using cellular phones and the Internet.
        Diab. Med. Br. Diab. Assoc. 2009; 26: 628-635
        • Kim C.S.
        • Park S.Y.
        • Kang J.G.
        • Lee S.J.
        • Ihm S.H.
        • Choi M.G.
        • Yoo H.J.
        Insulin dose titration system in diabetes patients using a short messaging service automatically produced by a knowledge matrix.
        Diab. Technol. Therapeut. 2010; 12: 663-669
        • Shetty A.S.
        • Chamukuttan S.
        • Nanditha A.
        • Raj R.K.
        • Ramachandran A.
        Reinforcement of adherence to prescription recommendations in Asian Indian diabetes patients using short message service (SMS) – a pilot study.
        J. Assoc. Phys. India. 2011; 59: 711-714
        • Hussein W.I.
        • Hasan K.
        • Jaradat A.A.
        Effectiveness of mobile phone short message service on diabetes mellitus management; the SMS-DM study.
        Diab. Res. Clin. Pract. 2011; 94: e24-e26
        • Goodarzi M.
        • Ebrahimzadeh I.
        • Rabi A.
        • Saedipoor B.
        • Jafarabadi M.A.
        Impact of distance education via mobile phone text messaging on knowledge, attitude, practice and self efficacy of patients with type 2 diabetes mellitus in Iran.
        J. Diab. Metabolic Disorders. 2012; 11: 10
        • Arora S.
        • Peters A.L.
        • Burner E.
        • Lam C.N.
        • Menchine M.
        Trial to Examine Text Message-based mHealth in emergency department patients with diabetes (TExT-MED): a randomized controlled trial.
        Ann. Emerg. Med. 2013; (Epub ahead of print)
        • Stratton I.M.
        • Adler A.I.
        • Neil H.A.
        • Matthews D.R.
        • Manley S.E.
        • Cull C.A.
        • Hadden D.
        • Turner R.C.
        • Holman R.R.
        Association of glycaemia with macrovascular and microvascular complications of type 2 diabetes (UKPDS 35): prospective observational study.
        BMJ. 2000; 321: 405-412
        • Sieverdes J.C.
        • Treiber F.
        • Jenkins C.
        Improving diabetes management with mobile health technology.
        Am. J. Med. Sci. 2013; 345: 289-295
        • Minet L.
        • Moller S.
        • Vach W.
        • Wagner L.
        • Henriksen J.E.
        Mediating the effect of self-care management intervention in type 2 diabetes: a meta-analysis of 47 randomised controlled trials.
        Patient Educ. Counsel. 2010; 80: 29-41
        • Glanz K.
        • Rimer B.K.
        • Viswanath K.
        Health Behavior and Health Education: Theory, Research, and Practice.
        4th ed. Jossey-Bass, San Francisco, CA2008
        • Fan L.
        • Sidani S.
        Effectiveness of diabetes self-management education intervention elements: a meta-analysis.
        Can. J. Diab. 2009; 33: 18-26
        • Detsky A.S.
        • Naylor C.D.
        • O’Rourke K.
        • McGeer A.J.
        • L’Abbe K.A.
        Incorporating variations in the quality of individual randomized trials into meta-analysis.
        J. Clin. Epidemiol. 1992; 45: 255-265
        • D’Eramo-Melkus G.A.
        • Wylie-Rosett J.
        • Hagan J.A.
        Metabolic impact of education in NIDDM.
        Diab. Care. 1992; 15: 864-869
        • Doggrell S.A.
        Does intervention by an allied health professional discussing adherence to medicines improve this adherence in type 2 diabetes?.
        Diab. Med. Br. Diab. Assoc. 2010; 27: 1341-1349
        • Fall E.
        • Roche B.
        • Izaute M.
        • Batisse M.
        • Tauveron I.
        • Chakroun N.
        A brief psychological intervention to improve adherence in type 2 diabetes.
        Diab. Metabolism. 2013; 39: 432-438
        • Farmer A.
        • Hardeman W.
        • Hughes D.
        • Prevost A.T.
        • Kim Y.
        • Craven A.
        • Oke J.
        • Boase S.
        • Selwood M.
        • Kellar I.
        • Graffy J.
        • Griffin S.
        • Sutton S.
        • Kinmonth A.L.
        An explanatory randomised controlled trial of a nurse-led, consultation-based intervention to support patients with adherence to taking glucose lowering medication for type 2 diabetes.
        BMC Family Pract. 2012; 13: 30
        • Stiff J.B.
        • Mongeau P.A.
        Persuasive Communication.
        2nd ed. Guilford Press, New York2003
        • Pimouguet C.
        • Le Goff M.
        • Thiebaut R.
        • Dartigues J.F.
        • Helmer C.
        Effectiveness of disease-management programs for improving diabetes care: a meta-analysis.
        CMAJ: Can. Med. Assoc. J. 2011; 183: E115-E127
        • Cochrane Collaboration
        Publication Bias.
        2002
        • Moher D.
        • Pham B.
        • Klassen T.P.
        • Schulz K.F.
        • Berlin J.A.
        • Jadad A.R.
        • Liberati A.
        What contributions do languages other than English make on the results of meta-analyses?.
        J. Clin. Epidemiol. 2000; 53: 964-972