Electronic messaging intervention for management of cardiovascular risk factors in type 2 diabetes mellitus: A randomised controlled trial
Abstract
Aims and objectives: To determine the effectiveness of an electronic messaging support service for management of cardiovascular risk factors in patients with diabetes. Background: Microletter and short message service are widely used, but their health education benefit for people with type 2 diabetes mellitus has not been investigated. Design: Convenience sample study with randomised group assignment. Methods: Participants completed survey questionnaires, physical and laboratory evaluations between May 2015 and May 2016 and were then randomly assigned to two groups for receipt of a microletter + short message or a phone call (control). Appointment reminders and health information were sent to the intervention patients by microletter + short message. Every three months, intervention patients and control patients were followed up by telephone. After 12 months, changes in cardiovascular risk factors in each group were evaluated and compared. Results: There were no statistically significant changes or between‐group differences in daily smoking and drinking. There were statistically significant between‐group differences in glycated haemoglobin (p = .034), postprandial plasma glucose (p = .001), postprandial insulin (p = .005), total cholesterol (p = .038) and low‐density lipoprotein (p < .001). Levels of glycated haemoglobin (p = .011), fasting plasma glucose (p = .007), postprandial plasma glucose (p < .001), fasting insulin (p = 0.004), postprandial insulin (p < .001), total cholesterol (p < .001) and low‐density lipoprotein (p < .001) were found to be decreased significantly in intervention patients. Systolic blood pressure decreased significantly in patients only followed by telephone (p = .014). The microletter + short message intervention was an effective means of reducing cardiovascular risk in patients with type 2 diabetes mellitus. Conclusion: Regular smartphone communication had a favourable impact on cardiovascular risk factors in patients with type 2 diabetes mellitus. Relevance to clinical practice: Regular smartphone communication has a favourable impact on cardiovascular risk factors in patients with type 2 diabetes mellitus.
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Infectious diseases and chronic diseases were the second most prevalent health outcomes, each with a frequency of 8 of 30 articles (27%).
“Infectious diseases and chronic diseases were the second most prevalent health outcomes, with a frequency of each of 8 of 30 (27%) articles [36,39-44,49-51].”
From Barriers to the Use of Mobile Health in Improving Health Outcomes in Developing Countries: Systematic Review (2019) · cites this paper as [44]
Cites
Wild, S., Roglic, G., Green, A., Sicree, R., & King, H. (2004) · Diabetes Care · doi:10.2337/diacare.27.5.1047 · Cited by 15,297 · see citing works
Standards of medical care in diabetes—2013
American Diabetes Association (2013) · Diabetes Care · doi:10.2337/dc13-s011 · Cited by 4,369 · see citing works
Prevalence of Diabetes among Men and Women in China
Yang, W., Lu, J., Weng, J., Jia, W., Ji, L., Xiao, J., Shan, Z., Liu, J., Tian, H., Ji, Q., et al. (2010) · New England Journal of Medicine · doi:10.1056/nejmoa0908292 · Cited by 3,031 · see citing works
Prevalence and Control of Diabetes in Chinese Adults
Xu, Y. (2013) · JAMA · doi:10.1001/jama.2013.168118 · Cited by 2,710 · see citing works
Mobile Phone Interventions to Increase Physical Activity and Reduce Weight
Stephens, J. D., & Allen, J. K. (2013) · The Journal of Cardiovascular Nursing · doi:10.1097/jcn.0b013e318250a3e7 · Cited by 365 · see citing works
van den Berg, E., Kloppenborg, R. P., Kessels, R. P. C., Kappelle, L. J., & Biessels, G. J. (2008) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2008.09.004 · Cited by 360 · see citing works
Active Care Management Supported by Home Telemonitoring in Veterans With Type 2 Diabetes
Stone, R. A., Rao, R. H., Sevick, M. A., Cheng, C., Hough, L. J., Macpherson, D. S., Franko, C. M., Anglin, R. A., Obrosky, D. S., & DeRubertis, F. R. (2009) · Diabetes Care · doi:10.2337/dc09-1012 · Cited by 184 · see citing works
Postoperative Patient Education: A Systematic Review
Fredericks, S., Guruge, S., Sidani, S., & Wan, T. (2010) · Clinical Nursing Research · doi:10.1177/1054773810365994 · Cited by 129 · see citing works
Effect of a brief, regular telephone intervention by paraprofessionals for type 2 diabetes
Sacco, W. P., Malone, J. I., Morrison, A. D., Friedman, A. L., & Wells, K. J. (2009) · Journal of Behavioral Medicine · doi:10.1007/s10865-009-9209-4 · Cited by 125 · see citing works
Do people with existing chronic conditions benefit from telephone coaching? A rapid review
Dennis, S. M., Harris, M., Lloyd, J., Powell Davies, G., Faruqi, N., & Zwar, N. (2013) · Australian Health Review · doi:10.1071/ah13005 · Cited by 110 · see citing works
Hussein, W. I., Hasan, K., & Jaradat, A. (2011) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2011.07.025 · Cited by 106 · see citing works
Lauck, S., Johnson, J. L., & Ratner, P. A. (2009) · European Journal of Cardiovascular Nursing · doi:10.1016/j.ejcnurse.2008.12.002 · Cited by 55 · see citing works
Fang, R., & Li, X. (2016) · Journal of Clinical Nursing · doi:10.1111/jocn.12988 · Cited by 49 · see citing works
Self-citationA review of telephone coaching services for people with long-term conditions
Hutchison, A., & Breckon, J. D. (2011) · Journal of Telemedicine and Telecare · doi:10.1258/jtt.2011.110513 · Cited by 43 · see citing works
Type 2 Diabetes in Primary Care in Belgium: Need for Structured Shared Care
Goderis, G., Borgermans, L. A. D., Heyrman, J., Broeke, C. V. D., Grol, R. P. T. M., Boland, B. B., & Mathieu, C. (2009) · Experimental and Clinical Endocrinology & Diabetes · doi:10.1055/s-0028-1103286 · Cited by 41 · see citing works
(2014) · Europe PMC (PubMed Central) · Cited by 40 · see citing works
Telemedicine cardiovascular risk reduction in Veterans
Melnyk, S. D., Zullig, L. L., McCant, F., et al. (2013) · American Heart Journal · doi:10.1016/j.ahj.2012.08.005 · Cited by 32 · see citing works
Adams, W. G. (2012) · JAMA · doi:10.1001/jama.2012.524 · Cited by 30 · see citing works
Gui, M., Li, X., Lu, Z., & Gao, X. (2012) · Acta Diabetologica · doi:10.1007/s00592-012-0405-2 · Cited by 18 · see citing works
A Review of Cardiovascular Outcomes in the Treatment of People with Type 2 Diabetes
DAILEY, G. E., & Wang, E. (2014) · Diabetes Therapy · doi:10.1007/s13300-014-0091-x · Cited by 16 · see citing works
Kothapalli, P., Bové, A. A., Santamore, W. P., et al. (2013) · Journal of Telemedicine and Telecare · doi:10.1177/1357633x13487101 · Cited by 11 · see citing works
Cao, Y., Xue, Y., Li, C., et al. (2010) · PubMed · Cited by 5 · see citing works
Magometschnigg, D., & Rothmayer, G. (2011) · Wiener Medizinische Wochenschrift · doi:10.1007/s10354-011-0010-y · Cited by 3 · see citing works
Zeng, J., Wan, Q., Bai, X.-S., et al. (2014) · Genetics and Molecular Research · doi:10.4238/2014.may.16.14 · Cited by 3 · see citing works
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Kruse, C., Betancourt, J., Ortiz, S., Valdes Luna, S. M., Bamrah, I. K., & Segovia, N. (2019) · Journal of Medical Internet Research · doi:10.2196/13263 · Cited by 299 · see citing works
Using text message reminders in health care services: A narrative literature review
Schwebel, F. J., & Larimer, M. E. (2018) · Internet Interventions · doi:10.1016/j.invent.2018.06.002 · Cited by 238 · see citing works
“Dowshen et al., 2013; Fang and Deng, 2017; Ferguson et al., 2015; Foreman et al., 2012; Franklin et al., 2006; Garofalo et al., 2016; Gengiah et al., 2014; Georgette et al., 2017; Granholm et al., 2012; Gu et al., 2016; Guy et al., 2013; Haji et al., 2016; Hanauer et al., 2009; Hardy et al., 2011;…”
BackgroundInfluentialAminuddin, H. B., Jiao, N., Jiang, Y., Hong, J., & Wang, W. (2021) · International Journal of Nursing Studies · doi:10.1016/j.ijnurstu.2019.02.003 · Cited by 157 · see citing works
Moschonis, G., Siopis, G., Jung, J., Eweka, E., Willems, R., Kwasnicka, D., Asare, B. Y.-A., Kodithuwakku, V., Verhaeghe, N., Vedanthan, R., et al. (2023) · The Lancet Digital Health · doi:10.1016/s2589-7500(22)00233-3 · Cited by 149 · see citing works
Eberle, C., & Stichling, S. (2021) · Journal of Medical Internet Research · doi:10.2196/23252 · Cited by 38 · see citing works
- Authors
- Fang, R., & Deng, X.
- Affiliations
- Sichuan University (CN)
- Corresponding author
- Fang, Ronghua
- Venue
- Journal of Clinical Nursing
- Publisher
- Wiley
- Published
- 2018-01-08
- Volume
- 27
- Issue
- 3-4
- Pages
- 612-620
- ISSN
- 0962-1067 (ISSN-L)
- 1365-2702
- OpenAlex
- W2735445612
- Cited by
- 27
- References
- 24
- Citations by year
- 2025: 2 · 2024: 3 · 2023: 1 · 2022: 1 · 2021: 3 · 2020: 9 · 2019: 6 · 2018: 2
- FWCI
- 9.72
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Clinical Nursing (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Education
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Keywords
- type 2 diabetes, cardiovascular risk factors, electronic messaging, short message service, smartphone communication, HbA1c, postprandial blood glucose, insulin, cholesterol, LDL cholesterol, blood pressure, smoking, alcohol consumption, health education, telephone follow-up
- MeSH terms
- Aged, Blood Glucose, Cardiovascular Diseases, Diabetes Mellitus, Type 2, Female, Glycated Hemoglobin, Humans, Male, Middle Aged, Patient Education as Topic, Surveys and Questionnaires, Risk Factors, Telephone, Biomarkers, Reminder Systems, Postprandial Period, Text Messaging
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