The Impact of Text Message On Self-Management for Coronary Heart Disease: A Meta-Analysis of Randomized Controlled Trials

Authors

  • Yong Wan Special Survey Dept.(ECG room), Sichuan Luzhou People’s Hospital, Luzhou City, Sichuan, P.R.China
  • Xin Wu Special Survey Dept.(ECG room), Sichuan Luzhou People’s Hospital, Luzhou City, Sichuan, P.R.China
  • Yan Kou Special Survey Dept.(ECG room), Sichuan Luzhou People’s Hospital, Luzhou City, Sichuan, P.R.China

DOI:

https://doi.org/10.1532/hsf.2519

Abstract

Introduction: The influence of text message on self-management for coronary heart disease remains controversial. We conducted a systematic review and meta-analysis to explore the impact of text message versus usual care on self-management for coronary heart disease.

Methods: We searched PubMed, EMbase, Web of
Science, EBSCO, and Cochrane library databases through July 2018 for randomized controlled trials (RCTs), assessing the effect of text message versus usual care on self-management for coronary heart disease. This meta-analysis is performed using the random-effect model.

Results: Six RCTs involving 1,158 patients are included in the meta-analysis. Overall, compared with a control group for coronary heart disease, text message intervention has no substantial influence on self-efficacy (Std. MD = 2.37; 95% CI = -2.61 to 7.35; P = .35), LDL (Std. MD = -1.81; 95% CI = -4.80 to 1.18; P = .24), HDL (Std. MD = -1.15; 95%
CI = -2.83 to 0.54; P = .18), BMI (Std. MD = -3.61; 95% CI = -9.48 to 2.26; P = .23), systolic blood pressure (Std. MD = -3.46; 95% CI = -9.03 to 2.12; P = .22), diastolic blood pressure (Std. MD = -2.03; 95% CI = -5.90 to 1.85; P = .31, non-smoker (RR = 1.12; 95% CI = 0.78 to 1.62; P = .53), and physical activity (RR = 1.57; 95% CI = 0.63 to 3.90; P = .33).

Conclusions: Text message intervention demonstrates no positive impact on self-efficacy, treatment adherence, and the control of risk factors in patients with coronary heart disease.

References

Bitton A, Choudhry NK, Matlin OS, Swanton K, Shrank WH. 2013. The impact of medication adherence on coronary artery disease costs and outcomes: a systematic review. The American journal of medicine. 126:357 e7- e27.

Boroumand S, Moeini M. 2016. The effect of a text message and telephone follow-up program on cardiac self-efficacy of patients with coronary artery disease: A randomized controlled trial. Iranian journal of nursing and midwifery research. 21:171-6.

Brainin P, Hoffmann S, Fritz-Hansen T, Olsen FJ, Jensen JS, Biering-Sorensen T. 2018. Usefulness of Postsystolic Shortening to Diagnose Coronary Artery Disease and Predict Future Cardiovascular Events in Stable Angina Pectoris. Journal of the American Society of Echocardiography: official publication of the American Society of Echocardiography. 31:870-9 e3.

Cataldo R, John J, Chandran L, Pati S, Shroyer AL. 2013. Impact of physical activity intervention programs on self-efficacy in youths: a systematic review. ISRN obesity. 2013:586497.

Chow CK, Redfern J, Hillis GS, Thakkar J, Santo K, Hackett ML, et al. 2015. Effect of Lifestyle-Focused Text Messaging on Risk Factor Modification in Patients With Coronary Heart Disease: A Randomized Clinical Trial. Jama. 314:1255-63.

Eng JA, Hunter CJ, Handley MA, Boscardin CK, Gonzales R, Ackerman SL. 2014. Patient attitudes about specialty follow-up care by telephone. The American journal of managed care. 20:164-7.

Farrokhi MR, Lotfi M, Masoudi MS, Gholami M. 2016. Effects of methylene blue on postoperative low-back pain and functional outcomes after lumbar open discectomy: a triple-blind, randomized placebo-controlled trial. Journal of neurosurgery Spine. 24:7-15.

Farrokhi MR, Yazdanpanah H, Gholami M, Farrokhi F, Mesbahi AR. 2016. Pain and functional improvement effects of methylene blue injection on the soft tissue around fusion site after traumatic thoracolumbar fixation: A double-blind, randomized placebo-controlled study. Clinical neurology and neurosurgery. 150:6-12.

Feng C, Liu Y, Wang L, Niu D, Han B. 2018. Effects of Early Intracoronary Administration of Nicorandil During Percutaneous Coronary Intervention in Patients With Acute Myocardial Infarction. Heart, lung & circulation.

Fjeldsoe BS, Marshall AL, Miller YD. 2009. Behavior change interventions delivered by mobile telephone short-message service. American journal of preventive medicine. 36:165-73.

Franklin NC, Lavie CJ, Arena RA. 2015. Personal health technology: A new era in cardiovascular disease prevention. Postgraduate medicine. 127:150-8.

Franklin VL, Waller A, Pagliari C, Greene SA. 2006. A randomized controlled trial of Sweet Talk, a text-messaging system to support young people with diabetes. Diabetic medicine : a journal of the British Diabetic Association. 23:1332-8.

Frederix I, Hansen D, Coninx K, Vandervoort P, Vandijck D, Hens N, et al. 2015. Medium-Term Effectiveness of a Comprehensive Internet-Based and Patient-Specific Telerehabilitation Program With Text Messaging Support for Cardiac Patients: Randomized Controlled Trial. Journal of medical Internet research. 17:e185.

Furber S, Butler L, Phongsavan P, Mark A, Bauman A. 2010. Randomised controlled trial of a pedometer-based telephone intervention to increase physical activity among cardiac patients not attending cardiac rehabilitation. Patient education and counseling. 80:212-8.

Higgins JP, Thompson SG. 2002. Quantifying heterogeneity in a meta-analysis. Statistics in medicine. 21:1539-58.

Hurling R, Catt M, Boni MD, Fairley BW, Hurst T, Murray P, et al. 2007. Using internet and mobile phone technology to deliver an automated physical activity program: randomized controlled trial. Journal of medical Internet research. 9:e7.

Jadad AR, Moore RA, Carroll D, Jenkinson C, Reynolds DJM, Gavaghan DJ, et al. 1996. Assessing the quality of reports of randomized clinical trials: Is blinding necessary? Controlled Clinical Trials. 17:1-12.

Janssen V, De Gucht V, Dusseldorp E, Maes S. 2013. Lifestyle modification programmes for patients with coronary heart disease: a systematic review and meta-analysis of randomized controlled trials. European journal of preventive cardiology. 20:620-40.

John J, Parikh PB, Thippeswamy G, Kataya A, Loeb C, Tran L, et al. 2018. Sex-related disparities in obstructive coronary artery disease, percutaneous coronary intervention, and mortality in adults with cardiac arrest. International journal of cardiology.

Kang Y, Yang IS. 2013. Cardiac self-efficacy and its predictors in patients with coronary artery diseases. Journal of clinical nursing. 22:2465-73.

Keefer L, Kiebles JL, Taft TH. 2011. The role of self-efficacy in inflammatory bowel disease management: preliminary validation of a disease-specific measure. Inflammatory bowel diseases. 17:614-20.

Khonsari S, Subramanian P, Chinna K, Latif LA, Ling LW, Gholami O. 2015. Effect of a reminder system using an automated short message service on medication adherence following acute coronary syndrome. European journal of cardiovascular nursing: journal of the Working Group on Cardiovascular Nursing of the European Society of Cardiology. 14:170-9.

Kjaergard LL, Villumsen J, Gluud C. 2001. Reported Methodologic Quality and Discrepancies between Large and Small Randomized Trials in Meta-Analyses. Annals of Internal Medicine. 135:982-9.

Lester RT, Ritvo P, Mills EJ, Kariri A, Karanja S, Chung MH, et al. 2010. Effects of a mobile phone short message service on antiretroviral treatment adherence in Kenya (WelTel Kenya1): a randomised trial. Lancet. 376:1838-45.

Mahonen M, Salomaa V, Keskimaki I, Moltchanov V. 2000. The feasibility of routine mortality and morbidity register data linkage to study the occurrence of acute coronary heart disease events in Finland. The Finnish Cardiovascular Diseases Registers (CVDR) Project. European journal of epidemiology. 16:701-11.

Moher D, Liberati A, Tetzlaff J, Altman DG, Group P. 2009. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. Journal of clinical epidemiology. 62:1006-12.

Mohr FW, Morice MC, Kappetein AP, Feldman TE, Stahle E, Colombo A, et al. 2013. Coronary artery bypass graft surgery versus percutaneous coronary intervention in patients with three-vessel disease and left main coronary disease: 5-year follow-up of the randomised, clinical SYNTAX trial. Lancet. 381:629-38.

Norman GJ, Kolodziejczyk JK, Adams MA, Patrick K, Marshall SJ. 2013. Fruit and vegetable intake and eating behaviors mediate the effect of a randomized text-message based weight loss program. Preventive medicine. 56:3-7.

Park LG, Howie-Esquivel J, Chung ML, Dracup K. 2014. A text messaging intervention to promote medication adherence for patients with coronary heart disease: a randomized controlled trial. Patient education and counseling. 94:261-8.

Patrick K, Raab F, Adams MA, Dillon L, Zabinski M, Rock CL, et al. 2009. A text message-based intervention for weight loss: randomized controlled trial. Journal of medical Internet research. 11:e1.

Pfaeffli Dale L, Whittaker R, Jiang Y, Stewart R, Rolleston A, Maddison R. 2015. Text Message and Internet Support for Coronary Heart Disease Self-Management: Results From the Text4Heart Randomized Controlled Trial. Journal of medical Internet research. 17:e237.

Sayols-Baixeras S, Lluis-Ganella C, Lucas G, Elosua R. 2014. Pathogenesis of coronary artery disease: focus on genetic risk factors and identification of genetic variants. The application of clinical genetics. 7:15-32.

Wu CJ, Chang AM, Courtney M, Kostner K. 2012. Peer supporters for cardiac patients with diabetes: a randomized controlled trial. International nursing review. 59:345-52.

Published

2020-02-10

How to Cite

Wan, Y., Wu, X., & Kou, Y. (2020). The Impact of Text Message On Self-Management for Coronary Heart Disease: A Meta-Analysis of Randomized Controlled Trials. The Heart Surgery Forum, 23(1), E018-E024. https://doi.org/10.1532/hsf.2519

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Articles