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

Saffari, Mohsen; Ghanizadeh, Ghader; Koenig, Harold G.

doi:10.1016/j.pcd.2014.03.004

Cited by 170Mobile Health and mHealth ApplicationsDiabetes Management and EducationMobile Learning in Education

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

Saffari, Mohsen, Ghanizadeh, Ghader, Koenig, Harold G.·2014·Primary Care Diabetes

DOI 10.1016/j.pcd.2014.03.004

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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 (I(2)=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.

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Of seven 2-star reviews, four were meta-analyses, all of which showed significant reductions in HbA1c compared with controls, although the effect sizes were small.
“Of seven 2-star reviews [29,30,33,42,46,52,54], 4 were meta-analyses, all of which showed significant reductions in HbA1c compared with controls, although the effect sizes were small.”
From Telehealth Interventions to Support Self-Management of Long-Term Conditions: A Systematic Metareview of Diabetes, Heart Failure, Asthma, Chronic Obstructive Pulmonary Disease, and Cancer (2017) · cites this paper as [46]
Interventions in the meta-analyses showing significant HbA1c reductions included telemonitoring of blood glucose and mobile messaging.
“Interventions included telemonitoring of blood glucose [33,42,54] and mobile messaging [46].”
From Telehealth Interventions to Support Self-Management of Long-Term Conditions: A Systematic Metareview of Diabetes, Heart Failure, Asthma, Chronic Obstructive Pulmonary Disease, and Cancer (2017) · cites this paper as [46]
Ten reviews and one analysis in a mixed review analyzed HbA1c in type 2 diabetes.
“A total of 10 reviews [21,29,30,33,42,43,46,52-54], and 1 analysis in a mixed review [19], analyzed HbA1c in type 2 diabetes.”
From Telehealth Interventions to Support Self-Management of Long-Term Conditions: A Systematic Metareview of Diabetes, Heart Failure, Asthma, Chronic Obstructive Pulmonary Disease, and Cancer (2017) · cites this paper as [46]
Supported education and information interventions were particularly effective in the context of diabetes, with 9 larger systematic reviews showing evidence of improvement in HbA1c.
“Supported education and information interventions were particularly effective in the context of diabetes, with 9 larger systematic reviews showing evidence of improvement in HbA1c [27,30,35-37,40,44-46].”
From Telehealth Interventions to Support Self-Management of Long-Term Conditions: A Systematic Metareview of Diabetes, Heart Failure, Asthma, Chronic Obstructive Pulmonary Disease, and Cancer (2017) · cites this paper as [46]
Few reviews specifically considered or assessed for publication bias, and of those that did, some found evidence to suggest bias.
“few reviews specifically considered or assessed for publication bias and, of those that did, some found evidence to suggest bias [38,46].”
From Telehealth Interventions to Support Self-Management of Long-Term Conditions: A Systematic Metareview of Diabetes, Heart Failure, Asthma, Chronic Obstructive Pulmonary Disease, and Cancer (2017) · cites this paper as [46]

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Lee, Y., Kim, G., Jun, J. E., Park, H., Lee, W. J., Hwang, Y., & Kim, J. H. (2023) · Diabetes Care · doi:10.2337/dc22-1929 · Cited by 116 · see citing works
Effectiveness of mHealth Interventions in Improving Medication Adherence Among People with Hypertension: a Systematic Review
Xiong, S., Berkhouse, H., Schooler, M., Pu, W., Sun, A., Gong, E., & Yan, L. L. (2018) · Current Hypertension Reports · doi:10.1007/s11906-018-0886-7 · Cited by 106 · see citing works
Exploring Behavioral Intention to Use a Mobile Health Education Website: An Extension of the UTAUT 2 Model
Yu, C.-W. F., Chao, C., Chang, C.-F., Chen, R.-J., Chen, P.-C., & Liu, Y. (2021) · SAGE Open · doi:10.1177/21582440211055721 · Cited by 117 · see citing works
“Many educators and clinicians are currently using electronic communication devices as a supplement to HE to convey health messages (Saffari et al., 2014).”
Background
Using New Technologies to Improve the Prevention and Management of Chronic Conditions in Populations
Oldenburg, B. F., Taylor, C. B., O'Neil, A. E., Cocker, F., & Cameron, L. D. (2015) · Annual Review of Public Health · doi:10.1146/annurev-publhealth-031914-122848 · Cited by 104 · see citing works
Disparities in the use of a mHealth medication adherence promotion intervention for low-income adults with type 2 diabetes
Nelson, L. A., Mulvaney, S. A., Gebretsadik, T. S., Ho, Y.-X., Johnson, K. B., & Osborn, C. Y. (2015) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocv082 · Cited by 103 · see citing works
“SMS and Interactive Voice Response (IVR; a telephone technology that automates interactions with callers) have the potential to improve a variety of health behaviors and outcomes.15 While SMS/IVR interventions have helped hard-to-reach and vulnerable patients around the world,16 less is known about the benefits of the…”
BackgroundInfluential
Mobile health in the management of type 1 diabetes: a systematic review and meta-analysis
Wang, X., Shu, W., Du, J., Du, M., Wang, P., Xue, M., Zheng, H., Jiang, Y., Yin, S., Liang, D., et al. (2019) · BMC Endocrine Disorders · doi:10.1186/s12902-019-0347-6 · Cited by 99 · see citing works
“The impact of mHealth interventions on the control of HbA1c levels in type 2 diabetes is clinically significant and has been well documented [21, 22].”
Background
The negative impact of smartphone usage on nursing students: An integrative literature review
Ramjan, L. M., Salamonson, Y., Batt, S., Kong, A., McGrath, B. J., Richards, G. M., Roach, D., Wall, P., & Crawford, R. (2021) · Nurse Education Today · doi:10.1016/j.nedt.2021.104909 · Cited by 97 · see citing works
Cost and cost-effectiveness of mHealth interventions for the prevention and control of type 2 diabetes mellitus: A systematic review
Rinaldi, G., Hijazi, A., & Haghparast-Bidgoli, H. (2020) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2020.108084 · Cited by 85 · see citing works
Effects of Acceptance and Commitment Therapy on health-related outcomes for patients with advanced cancer: A systematic review.
Li, H., Wong, C. L., Jin, X., Chen, J., Chong, Y. Y., & Bai, Y. (2021) · International Journal of Nursing Studies · doi:10.1016/j.ijnurstu.2021.103876 · Cited by 81 · see citing works
mHealth Interventions for Disadvantaged and Vulnerable People with Type 2 Diabetes
Mayberry, L. S., Lyles, C. R., Oldenburg, B. F., Osborn, C. Y., Parks, M., & Peek, M. E. (2019) · Current Diabetes Reports · doi:10.1007/s11892-019-1280-9 · Cited by 84 · see citing works
What sixty years of research says about the effectiveness of patient education on health: a second order meta-analysis
Simonsmeier, B. A., Flaig, M., Simacek, T., & Schneider, M. (2022) · Health Psychology Review · doi:10.1080/17437199.2021.1967184 · Cited by 81 · see citing works
“Metaanalyses j Metaanalytic effect sizes k Overall grand mean d 95% Confidence Interval E (S2e di ) S2 d s 2 d ProVar Overall Averaged over meta-analyses 40 40 0.302 [0.295, 0.309] 0.00109 0.01082 0.00972 0.101 Averaged over effect sizes 40 156 0.316 [0.304, 0.329] 0.00222 0.03534 0.03312 0.063 Averaged over effect si…”
Influential
Consensus Guidance for Monitoring Individuals With Islet Autoantibody–Positive Pre-Stage 3 Type 1 Diabetes
Phillip, M., Achenbach, P., Addala, A., Albanese-O’Neill, A., Battelino, T., Bell, K. J., Besser, R. E. J., Bonifacio, E., Colhoun, H. M., Couper, J. J., et al. (2024) · Diabetes Care · doi:10.2337/dci24-0042 · Cited by 79 · see citing works
Effect of diabetes self-management education (DSME) on glycated hemoglobin (HbA1c) level among patients with T2DM: Systematic review and meta-analysis of randomized controlled trials
Bekele, B. B., Negash, S., Bogale, B., Tesfaye, M., Getachew, D., Weldekidan, F., & Balcha, B. (2021) · Diabetes & Metabolic Syndrome: Clinical Research & Reviews · doi:10.1016/j.dsx.2020.12.030 · Cited by 82 · see citing works
2021 ISHNE/HRS/EHRA/APHRS Expert Collaborative Statement on mHealth in Arrhythmia Management: Digital Medical Tools for Heart Rhythm Professionals: From the International Society for Holter and Noninvasive Electrocardiology/Heart Rhythm Society/European Heart Rhythm Association/Asia-Pacific Heart Rhythm Society
Varma, N., Cygankiewicz, I., Turakhia, M. P., Heidbuchel, H., Hu, Y.-F., Chen, L. Y., Couderc, J.-P., Cronin, E. M., Estep, J. D., Grieten, L., et al. (2021) · Circulation: Arrhythmia and Electrophysiology · doi:10.1161/circep.120.009204 · Cited by 74 · see citing works
Effectiveness of smartphone technologies on glycaemic control in patients with type 2 diabetes: systematic review with meta‐analysis of 17 trials
Wu, X., Kee, J. C. Y., Threapleton, D. E., Ma, R. C. W., Lam, V., Lee, E. K. P., Wong, S. Y. S., & Chung, V. C. (2018) · Obesity Reviews · doi:10.1111/obr.12669 · Cited by 73 · see citing works
“Results from the previous meta-analysis suggested that younger patients (mean age <55 years) were more likely to benefit from ST interventions (19).”
Method
Consensus guidance for monitoring individuals with islet autoantibody-positive pre-stage 3 type 1 diabetes
Phillip, M., Achenbach, P., Addala, A., Albanese-O’Neill, A., Battelino, T., Bell, K. J., Besser, R. E. J., Bonifacio, E. E., Colhoun, H. M., Couper, J., et al. (2024) · Diabetologia · doi:10.1007/s00125-024-06205-5 · Cited by 81 · see citing works
“…aimed at people with pre-stage 3 type 1 diabetes, in-person options associated with clinical appointments or in-group sessions are important, and strong evidence supports DSMES delivery through virtual, telehealth, telephone, text messaging and web-based/ mobile phone applications (apps) [127–131].”
Background
Development and Usability of REACH: A Tailored Theory-Based Text Messaging Intervention for Disadvantaged Adults With Type 2 Diabetes
Nelson, L. A., Mayberry, L. S., Wallston, K. A., Kripalani, S. B., Bergner, E. M., & Osborn, C. Y. (2016) · JMIR Human Factors · doi:10.2196/humanfactors.6029 · Cited by 61 · see citing works
“Text messaging interventions are improving the self-care and glycemic control of adults with diabetes [22-24], but few have been tested with disadvantaged populations in the United States [25].”
Background
The effect of yoga practice on glycemic control and other health parameters in the prediabetic state: A systematic review and meta-analysis
Ramamoorthi, R., Gahreman, D. E., Skinner, T. C., & Moss, S. A. (2019) · PLoS ONE · doi:10.1371/journal.pone.0221067 · Cited by 63 · see citing works
“The included studies exhibited diverse parameters in this systematic review, indicating a moderate to high-quality level score [63, 75, 76].”
Background
A review of mobile pervasive learning: Applications and issues
Shuib, L. M., Shamshirband, S., & Ismail, M. H. (2015) · Computers in Human Behavior · doi:10.1016/j.chb.2015.01.002 · Cited by 62 · see citing works
Designing Patient-Centered Text Messaging Interventions for Increasing Physical Activity Among Participants With Type 2 Diabetes: Qualitative Results From the Text to Move Intervention
Horner, G., Agboola, S. O., Jethwani, K., Tan‐McGrory, A., & López, L. (2017) · JMIR mhealth and uhealth · doi:10.2196/mhealth.6666 · Cited by 59 · see citing works
“Although we were unable to correlate relationality with outcomes, previous studies link participant awareness of “someone on the other end” to greater participant activation, retention, higher self-efficacy (ie, an individual’s belief that a behavior-specific goal can be achieved), and greater physical improvements, i…”
The Use of Mobile Applications Among Adults with Type 1 and Type 2 Diabetes: Results from the Second MILES—Australia (MILES-2) Study
Trawley, S. L., Baptista, S. N., Browne, J. L., Pouwer, F., & Speight, J. (2017) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2017.0235 · Cited by 58 · see citing works
“12,13,40 This leads to an important question: To what extent can this association with a reduction in HbA1c be explained by carbohydrate counting?”
Assessment of remote patient monitoring (RPM) systems for patients with type 2 diabetes: a systematic review and meta-analysis
Salehi, S., Olyaeemanesh, A., Mobinizadeh, M., Nasli‐Esfahani, E., & Riazi, H. (2020) · Journal of Diabetes & Metabolic Disorders · doi:10.1007/s40200-019-00482-3 · Cited by 57 · see citing works
“Patients with type 2 diabetes lose their flexibility and readiness to change behavior over time, which has been confirmed by many behavior change models and theories such as the belief model or the health belief model [48, 49].”
Background
Mobile phone interventions to improve health outcomes among patients with chronic diseases: an umbrella review and evidence synthesis from 34 meta-analyses
Sun, S., Simonsson, O., McGarvey, S. T., Torous, J. B., & Goldberg, S. B. (2024) · The Lancet Digital Health · doi:10.1016/s2589-7500(24)00119-5 · Cited by 57 · see citing works
Effectiveness of mobile phone-based self-management interventions for medication adherence and change in blood pressure in patients with coronary heart disease: A systematic review and meta-analysis
Sua, Y. S., Jiang, Y., Thompson, D. R., & Wang, W. (2020) · European Journal of Cardiovascular Nursing · doi:10.1177/1474515119895678 · Cited by 52 · see citing works
“This is likely to help patients develop selfefficacy, encourage behavioural change and improve adherence.(13)”
Background
2021 ISHNE/ HRS/ EHRA/ APHRS collaborative statement on mHealth in Arrhythmia Management: Digital Medical Tools for Heart Rhythm Professionals
Varma, N., Cygankiewicz, I., Turakhia, M. P., Heidbüchel, H., Hu, Y., Chen, L. Y., Couderc, J., Cronin, E. M., Estep, J. D., Grieten, L., et al. (2021) · Annals of Noninvasive Electrocardiology · doi:10.1111/anec.12795 · Cited by 50 · see citing works
Smartphone application training program improves smartphone usage competency and quality of life among the elderly in an elder university in China: A randomized controlled trial
Zhao, X., Wang, L., Ge, C., Zhen, X., Chen, Z., Wang, J., & Zhou, Y. (2019) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2019.104010 · Cited by 57 · see citing works
Mobile health as a viable strategy to enhance stroke risk factor control: A systematic review and meta-analysis
Liu, S., Feng, W., Chhatbar, P. Y., Liu, Y., Ji, X., & Ovbiagele, B. (2017) · Journal of the Neurological Sciences · doi:10.1016/j.jns.2017.04.050 · Cited by 44 · see citing works
“Our results are in accord with other systematic review and meta-analysis, which found that health education via mobile text message decreased HbA1c in Type 2 diabetes patients[12].”
Result
Mixed-Methods Randomized Evaluation of FAMS: A Mobile Phone-Delivered Intervention to Improve Family/Friend Involvement in Adults’ Type 2 Diabetes Self-Care
Mayberry, L. S., Berg, C. A., Greevy, R. A., Nelson, L. A., Bergner, E. M., Wallston, K. A., Harper, K. J., & Elasy, T. A. (2020) · Annals of Behavioral Medicine · doi:10.1093/abm/kaaa041 · Cited by 47 · see citing works
“On the other hand, there are numerous examples of text messaging interventions like REACH improving shortterm (~6 months) self-care behavior; the tougher problem has been sustaining those effects [46, 47].”
Background
Integrating family and friend support, information technology, and diabetes education in community-centric diabetes self-management
Higa, C., Davidson, E., & Loos, J. R. (2020) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocaa223 · Cited by 46 · see citing works
“6,12,15,16,18,19 Studies have also investigated how F&F might be engaged more effectively in DSM support generally 22–24”
Background
2017 National Standards for Diabetes Self-Management Education and Support
Beck, J. K., Greenwood, D. A., Blanton, L., Bollinger, S. T., Butcher, M. K., Condon, J. E., Cypress, M., Faulkner, P., Fischl, A. H., Francis, T., et al. (2019) · The Science of Diabetes Self-Management and Care · doi:10.1177/0145721719897952 · Cited by 50 · see citing works
Eliminating disparities among Latinos with type 2 diabetes: Effective eHealth strategies
López, L., Tan‐McGrory, A., Horner, G., & Betancourt, J. R. (2015) · Journal of Diabetes and its Complications · doi:10.1016/j.jdiacomp.2015.12.003 · Cited by 46 · see citing works
“37-39 However, interventions that involve direct feedback in response to participants' inputted measurements have demonstrated greater reductions in HbA1c levels, most likely due to the real-time adjustments in treatment.”
Background
The effectiveness of text message-based self-management interventions for poorly-controlled diabetes: A systematic review
Dobson, R., Whittaker, R., Dale, L. P., & Maddison, R. (2017) · Digital Health · doi:10.1177/2055207617740315 · Cited by 44 · see citing works
User Engagement Among Diverse Adults in a 12-Month Text Message–Delivered Diabetes Support Intervention: Results from a Randomized Controlled Trial
Nelson, L. A., Spieker, A. J., Greevy, R. A., LeStourgeon, L. M., Wallston, K. A., & Mayberry, L. S. (2020) · JMIR mhealth and uhealth · doi:10.2196/17534 · Cited by 44 · see citing works
“There is growing evidence for the efficacy of text message–delivered interventions to improve adherence and clinical outcomes [11], and this study addresses important gaps by examining long-term engagement and associations between engagement and participant and intervention characteristics.”
Background
Improved Diabetes Care Management Through a Text-Message Intervention for Low-Income Patients: Mixed-Methods Pilot Study
Watterson, J. L., Rodriguez, H. P., Shortell, S. M., & Aguilera, A. (2018) · JMIR Diabetes · doi:10.2196/diabetes.8645 · Cited by 43 · see citing works
“In particular, there is evidence that text-messaging programs can improve glycated hemoglobin (HbA1c levels in people with diabetes [5-8].”
Background
Elaboração e validação de cartilha para prevenção da diarreia infantil
de Sabino, L. M. M., Ferreira, Á. M. V., Joventino, E. S., Lima, F. E. T., da Penha, J. C., Lima, K. F., do Nascimento, L. A., & Ximenes, L. B. (2018) · Acta Paulista de Enfermagem · doi:10.1590/1982-0194201800034 · Cited by 41 · see citing works
2022 National Standards for Diabetes Self-Management Education and Support
Davis, J., Fischl, A. H., Beck, J. K., Browning, L., Carter, A., Condon, J. E., Dennison, M., Francis, T., Hughes, P. J., Jaime, S., et al. (2022) · Diabetes Spectrum · doi:10.2337/ds22-ps02 · Cited by 43 · see citing works
Health education for patients with acute coronary syndrome and type 2 diabetes mellitus: an umbrella review of systematic reviews and meta-analyses
Liu, X., Shi, Y., Willis, K. F., Wu, C.-J. J., & Johnson, M. (2017) · BMJ Open · doi:10.1136/bmjopen-2017-016857 · Cited by 42 · see citing works
“Fifty-one systematic reviews or meta-analyses [30-80] conducted”
Enhancing Patient Activation and Self-Management Activities in Patients With Type 2 Diabetes Using the US Department of Defense Mobile Health Care Environment: Feasibility Study
Gimbel, R. W., Rennert, L., Crawford, P. F., Little, J. R., Truong, K. D., Williams, J. E., Griffin, S. F., Shi, L., Chen, L., Zhang, L., et al. (2020) · Journal of Medical Internet Research · doi:10.2196/17968 · Cited by 40 · see citing works
“Our finding that the intervention group exhibited significant improvements over the control group in several cardiovascular outcomes in T2D patients with baseline PAM level 1 is consistent with previous findings that text messaging is effective in helping patients with T2D achieve better glycemic control [16,36,71].”
Result
Effects of self‐management programs on blood pressure, self‐efficacy, medication adherence and body mass index in older adults with hypertension: Meta‐analysis of randomized controlled trials
Trường, P. V., Apriliyasari, R. W., Lin, M., Chiu, H., & Tsai, P. (2021) · International Journal of Nursing Practice · doi:10.1111/ijn.12920 · Cited by 39 · see citing works
Effectiveness of Internet-Based Multicomponent Interventions for Patients and Health Care Professionals to Improve Clinical Outcomes in Type 2 Diabetes Evaluated Through the INDICA Study: Multiarm Cluster Randomized Controlled Trial
Ramallo‐Fariña, Y., Bello, M. Á. G., García‐Pérez, L., Boronat, M., Wägner, A. M., Rodríguez‐Rodríguez, L., de Pablos-Velasco, P. L., de Segura, I. L. G., González‐Pacheco, H., Carmona, M., et al. (2020) · JMIR mhealth and uhealth · doi:10.2196/18922 · Cited by 39 · see citing works
“To address these unmet needs, many publications have reported on the effectiveness of using information and communications technology (ICT) applications to support decision making by patients and professionals [8-12], reporting favorable short-term effects on blood glucose control [11,12].”
Background
2017 National Standards for Diabetes Self-Management Education and Support
Beck, J. K., Greenwood, D. A., Blanton, L., Bollinger, S. T., Butcher, M. K., Condon, J. E., Cypress, M., Faulkner, P., Fischl, A. H., Francis, T., et al. (2018) · The Science of Diabetes Self-Management and Care · doi:10.1177/0145721718820941 · Cited by 39 · see citing works
2021 ISHNE/HRS/EHRA/APHRS collaborative statement on mHealth in Arrhythmia Management: Digital Medical Tools for Heart Rhythm Professionals
Varma, N., Cygankiewicz, I., Turakhia, M. P., Heidbüchel, H., Hu, Y., Chen, L. Y., Couderc, J., Cronin, E. M., Estep, J. D., Grieten, L., et al. (2021) · Journal of Arrhythmia · doi:10.1002/joa3.12461 · Cited by 37 · see citing works
Mobile Phone Support for Diabetes Self-Care Among Diverse Adults: Protocol for a Three-Arm Randomized Controlled Trial
Nelson, L. A., Wallston, K. A., Kripalani, S. B., Greevy, R. A., Elasy, T. A., Bergner, E. M., Gentry, C. K., & Mayberry, L. S. (2018) · JMIR Research Protocols · doi:10.2196/resprot.9443 · Cited by 37 · see citing works
Feasibility of a Patient-Centered, Smartphone-Based, Diabetes Care System: A Pilot Study
Kim, E. K., Kwak, S. H., Baek, S., Lee, S. L., Jang, H. C., Park, K. S., & Cho, Y. M. (2016) · Diabetes & Metabolism Journal · doi:10.4093/dmj.2016.40.3.192 · Cited by 35 · see citing works
“6% reduction of HbA1c compared with the control intervention [6].”
BackgroundResult
2017 National Standards for Diabetes Self-Management Education and Support
Beck, J. K., Greenwood, D. A., Blanton, L., Bollinger, S. T., Butcher, M. K., Condon, J. E., Cypress, M., Faulkner, P., Fischl, A. H., Francis, T., et al. (2021) · The Science of Diabetes Self-Management and Care · doi:10.1177/0145721720987926 · Cited by 37 · see citing works
An Interactive Parent-Targeted Text Messaging Intervention to Improve Oral Health in Children Attending Urban Pediatric Clinics: Feasibility Randomized Controlled Trial
Borrelli, B., Henshaw, M., Endrighi, R., Adams, W. G., Heeren, T., Rosen, R. K., Bock, B. C., & Werntz, S. (2019) · JMIR mhealth and uhealth · doi:10.2196/14247 · Cited by 35 · see citing works
“SMS text messaging interventions have been effective across a wide variety of behaviors, such as smoking cessation [10], medication adherence, diabetes care [11], and weight management [12,13].”
Background
Understanding the barriers to successful adoption and use of a mobile health information system in a community health center in São Paulo, Brazil: a cohort study
Rajan, J. V., Moura, J., Gourley, G., Kiso, K., Sizilio, A., Cortez, A. M., Riley, L. W., Veras, M. A., & Sarkar, U. (2016) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-016-0385-1 · Cited by 28 · see citing works
Acceptance and commitment therapy. For psychological and behavioural changes among parents of children with chronic health conditions: a systematic review
Jin, X., Wong, C. L., Li, H., Chen, J., Chong, Y. Y., & Bai, Y. (2021) · Journal of Advanced Nursing · doi:10.1111/jan.14798 · Cited by 32 · see citing works
Cardiovascular Health Management in Diabetic Patients with Machine-Learning-Driven Predictions and Interventions
Jose, R., Syed, F., Thomas, A., & Toma, M. (2024) · Applied Sciences · doi:10.3390/app14052132 · Cited by 34 · see citing works
Association Between Mobile Health App Engagement and Weight Loss and Glycemic Control in Adults With Type 2 Diabetes and Prediabetes (D’LITE Study): Prospective Cohort Study
Lim, S. L., Tay, M. H. J., Ong, K. W., Johal, J., Yap, Q. V., Chan, Y. H., Yeo, G. K. N., Khoo, C. M., & Yaxley, A. (2022) · JMIR Diabetes · doi:10.2196/35039 · Cited by 31 · see citing works
“The presence of a dietitian or health coach support could have assisted in optimal health information acquisition, learning, and application [29].”
BackgroundResult
The effect of the BATHE interview technique on the empowerment of diabetic patients in primary care: A cluster randomised controlled study
Akturan, S., Kaya, Ç. A., Unalan, P. C., & Akman, M. (2017) · Primary care diabetes · doi:10.1016/j.pcd.2016.12.003 · Cited by 30 · see citing works
EMPOWER-support of patient empowerment by an intelligent self-management pathway for patients: study protocol
Mantwill, S., Fiordelli, M., Ludolph, R. A., & Schulz, P. J. (2015) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-015-0142-x · Cited by 30 · see citing works
“However there are some recent encouraging findings that underscore the potential of mobile use in combination with web-based approaches for diabetes education purposes [11,15].”
Background
Qualitative analysis of programmatic initiatives to text patients with mobile devices in resource-limited health systems
Garg, S. K., Lyles, C. R., Ackerman, S., Handley, M. A., Schillinger, D., Gourley, G., Aulakh, V., & Sarkar, U. (2015) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-016-0258-7 · Cited by 30 · see citing works
“The eight pilot sites in our study used texting for a range of different clinical and administrative functions, which is consistent with the variety seen in the published literature in both non-safety-net [11– 19] and safety net [25, 26, 28, 29] settings.”
BackgroundResult
Health information needs regarding diabetes mellitus in China: an internet-based analysis
Wang, T., Wang, T.-H., Zhou, X., Ni, Y., & Pan, Z. (2020) · BMC Public Health · doi:10.1186/s12889-020-09132-3 · Cited by 27 · see citing works
Impact of personalized text messages from pharmacists on medication adherence in type 2 diabetes in France: A real-world, randomized, comparative study
Gautier, J., Boîtard, C., Michiels, Y., Raymond, G., Vergez, G., & Guedon, G. (2021) · Patient Education and Counseling · doi:10.1016/j.pec.2021.02.022 · Cited by 26 · see citing works
Long‐term follow‐up of a randomized controlled trial of a text‐message diabetes self‐management support programme, SMS4BG
Dobson, R., Whittaker, R., Jiang, Y., McNamara, C. M., Shepherd, M., Maddison, R., Cutfield, R. G., Khanolkar, M., & Murphy, R. (2019) · Diabetic Medicine · doi:10.1111/dme.14182 · Cited by 25 · see citing works
2017 National Standards for Diabetes Self-Management Education and Support
Beck, J. K., Greenwood, D. A., Blanton, L., Bollinger, S. T., Butcher, M. K., Condon, J. E., Cypress, M., Faulkner, P., Fischl, A. H., Francis, T., et al. (2017) · Diabetes Spectrum · doi:10.2337/ds17-0067 · Cited by 25 · see citing works
Remote Health Consultations Supported by a Diabetes Management Web Application With a New Glucose Meter Demonstrates Improved Glycemic Control
Grady, M., Cameron, H., Levy, B. L., & Katz, L. B. (2015) · Journal of Diabetes Science and Technology · doi:10.1177/1932296815622646 · Cited by 24 · see citing works
Effects of nurse-led web-based interventions on people with type 2 diabetes mellitus: A systematic review and meta-analysis
Niu, X.-D., Chi, J.-T., Guo, J.-B., Ruan, H.-H., Zhang, J., Tao, H.-X., & Wang, Y.-H. (2021) · Journal of Telemedicine and Telecare · doi:10.1177/1357633x211010019 · Cited by 19 · see citing works
Effectiveness of Wearable Device-based Intervention on Glycemic Control in Patients with Type 2 Diabetes: A System Review and Meta-Analysis
Luo, J., Zhang, K., Xu, Y., Tao, Y., & Zhang, Q. (2022) · Journal of Medical Systems · doi:10.1007/s10916-021-01797-6 · Cited by 21 · see citing works
A Digital-First Model of Diabetes Care
Cafazzo, J. A. (2019) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2019.0058 · Cited by 21 · see citing works
Technology Interventions to Manage Food Intake: Where Are We Now?
Allman-Farinelli, M., & Gemming, L. (2017) · Current Diabetes Reports · doi:10.1007/s11892-017-0937-5 · Cited by 17 · see citing works
An Umbrella Review of Text Message Programs for Adults With Type 2 Diabetes
Whittemore, R., Siverly, L., Wischik, D. L., & Whitehouse, C. R. (2020) · The Science of Diabetes Self-Management and Care · doi:10.1177/0145721720965464 · Cited by 18 · see citing works
“In another meta-analysis, programs of shorter duration (<6 months) demonstrated stronger effects compared to longer programs.(21) This was supported in a systematic review with a narrative analysis whereby programs 3 to 6 months in length were reported to demonstrate significant effects on A1C compared to longer progr…”
BackgroundResultInfluential
Insights into the Origin and Therapeutic Implications of Benzopyran and Its Derivatives
Tiwari, A. K., & Singh, M. V. (2023) · ChemistrySelect · doi:10.1002/slct.202300220 · Cited by 19 · see citing works
Designing a Text Messaging Intervention to Improve Physical Activity Behavior Among Low-Income Latino Patients With Diabetes: A Discrete-Choice Experiment, Los Angeles, 2014–2015
Ramirez, M., Wu, S., & Beale, E. (2016) · Preventing Chronic Disease · doi:10.5888/pcd13.160035 · Cited by 19 · see citing works
The effectiveness of diabetes self-management education (DSME) on glycemic control among T2DM patients randomized control trial: systematic review and meta-analysis protocol
Bekele, B. B., Negash, S., Bogale, B., Tesfaye, M., Getachew, D., Weldekidan, F., & Balcha, B. (2020) · Journal of Diabetes & Metabolic Disorders · doi:10.1007/s40200-020-00584-3 · Cited by 18 · see citing works
Relationship between diabetic knowledge, attitudes and practices among patients with diabetes in China: a structural equation model
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Mobile phone text messaging in improving glycaemic control for patients with type 2 diabetes mellitus: A systematic review and meta-analysis
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Effectiveness of mobile phone text messaging in improving glycaemic control among persons with newly detected type 2 diabetes
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Influencia del envío de mensajes de texto al teléfono móvil en el control glucémico de la diabetes tipo 2 = Influence of sending messages to the mobile phone in the glycemic control of diabetes type 2
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Authors: Saffari, M., Ghanizadeh, G., & Koenig, H. G.
Affiliations: Baqiyatallah University of Medical Sciences (IR)
Duke University (US)
Corresponding author: Saffari, Mohsen
Ghanizadeh, Ghader
Koenig, Harold G.
ORCID: Saffari, Mohsen
Ghanizadeh, Ghader
Koenig, Harold G.
Venue: Primary Care Diabetes
Publisher: Elsevier BV
Published: 2014-12
Volume: 8
Issue: 4
Pages: 275-285
ISSN: 1751-9918 (ISSN-L)
DOI: 10.1016/j.pcd.2014.03.004
OpenAlex: W1994394007
Cited by: 170
References: 60
Citations by year: 2026: 1 · 2025: 10 · 2024: 8 · 2023: 12 · 2022: 16 · 2021: 21 · 2020: 17 · 2019: 20 · 2018: 23 · 2017: 22 · 2016: 9 · 2015: 11
FWCI: 2.37
Type: journal article
Language: en
Open access: closed
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
www.elsevier.com/legal/tdmrep-license (tdm)
Locations: Primary care diabetes (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
Physical Sciences › Computer Science › Information Systems › Mobile Learning in Education
Keywords: type 2 diabetes, text messaging, glycemic control, HbA1c, diabetes self-management education, health education, online intervention, mobile health
MeSH terms: Blood Glucose, Diabetes Mellitus, Type 2, Female, Glycated Hemoglobin, Humans, Health Knowledge, Attitudes, Practice, Male, Middle Aged, Patient Education as Topic, Biomarkers, Health Behavior, Reminder Systems, Cell Phone, Text Messaging

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

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