Effect of Mobile Phone Short Text Messages on Glycemic Control in Type 2 Diabetes

Bassam Bin Abbas; Abdullah Al Fares; Musleh Jabbari; Abdelmoneim El Dali; Fahad Al Orifi

doi:10.5812/ijem.18791

Effect of Mobile Phone Short Text Messages on Glycemic Control in Type 2 Diabetes

Bassam Bin Abbas ^{1
, *} , Abdullah Al Fares ¹ , Musleh Jabbari ² , Abdelmoneim El Dali ³ and Fahad Al Orifi ⁴

Authors Information

¹ Department of Pediatrics, Security Forces Hospital, Riyadh, Saudi Arabia

² Imam University, Riyadh, Saudi Arabia

³ Department of Biostatistics, Epidemiology and Scientific Computing, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia

⁴ Department of Telemedicine and E-Health, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia

Article information

International Journal of Endocrinology and Metabolism: January 01, 2015, 13 (1); e18791
Published Online: January 1, 2015
Article Type: In Brief
Received: March 6, 2014
Revised: August 13, 2014
Accepted: September 1, 2014
DOI: 10.5812/ijem.18791

To Cite: Bin Abbas B, Al Fares A, Jabbari M, El Dali A, Al Orifi F. et al. Effect of Mobile Phone Short Text Messages on Glycemic Control in Type 2 Diabetes, Int J Endocrinol Metab. 2015 ;13(1):e18791. doi: 10.5812/ijem.18791.

Abstract

Copyright: Copyright © 0, International Journal of Endocrinology and Metabolism. This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/) which permits copy and redistribute the material just in noncommercial usages, provided the original work is properly cited.

1. Background

2. Objectives

3. Patients and Methods

It was a prospective nonrandomized experimental trial for a four-month period. A total of 100 patients with type 2 diabetes with disorder duration of more than one year and no end organ complications who were on oral hypoglycemic agents and were followed at the Diabetes Clinics, Security Forces Hospital, were recruited. The following parameters were recorded before initiating sending SMS: glycosylated hemoglobin (HbA1c), frequency of simple hypoglycemic attacks (defined as blood glucose level < 2.22 mmol/L), frequency of severe hypoglycemic attacks (hypoglycemia associated with seizure or come), frequency of hyperglycemic attacks (defined as blood glucose of > 9.99 mmol/L), mean fasting blood sugar (FBS) level, mean postprandial blood glucose level, and frequency of blood glucose monitoring. Twenty educational multiple-choice questions for assessing patients’ knowledge were distributed. After four month of sending SMS, the above parameters were recorded again and ten scoring questions to assess the quality of SMS were answered by the participants.

The content of the SMS program short messages prepared in simple, understandable, constructive Arabic language. Five to seven messages were sent each week. The educational messages covered general diabetes care knowledge that included diabetes symptoms, signs, pathophysiology, etiology, diagnosis, diet therapy, psychotherapy, press news concerning diabetes, etc. These messages were considered as reminding messages about blood glucose check-up and medications intake. The main educational goal was to improve knowledge and subsequently attitude and practice. The messages were written by specialist in diabetes and diabetic educators, and then reviewed by the authors. Phone calls were made to ensure that SMS had been received. All SMS submitted to the participants during the four-month period were recorded.

Statistical analyses were performed using the Wilcoxon signed rank test, to evaluate the differences in HbA1c, FBS, postprandial blood glucose levels, incidence of hypoglycemic/hyperglycemic episodes, and other variables before and after the intervention. The tests were two tailed and P < 0.05 was considered as significant deviation from the null hypothesis. The study was approved by the Research Ethics Committee. A written informed consent with the Security Forces Hospital Institutional Board Review approval was obtained from participants.

4. Results

The average number of submitted SMS messages was six messages (range, 5-7) per patient per week with the total number of approximately 9600 messages over four months for all patients. A total of 100 phone calls were primarily made to ensure that the patients had received the messages at the middle the trial. One month prior to SMS delivery, the mean FBS level was 8.60 ± 3.16 mmol/L, the mean postprandial blood glucose level was 10.98 ± 4.03 mmol/L, the median frequency of documented simple hypoglycemic and hyperglycemic attacks per week were respectively zero and two, the mean HbA1c was 9.9% ± 1.8%, the median frequency of blood glucose monitoring per day was zero, and the median score at the patient's knowledge testing was 17 (the maximum score was 20).

Post-SMS delivery and during the last month of the tele-educational period were as follow: the mean FBS level, 8.60 ± 3.16 mmol/L; the mean postprandial blood glucose level, 10.65 ± 3.20 mmol/L; the median frequency of documented simple hypoglycemic and hyperglycemic attacks per week, zero and two, respectively; the mean HbA1c, 9.5% ± 1.7%, the median frequency of blood glucose monitoring per day, one; and the median score at the patients' knowledge testing, 19. There was no report of severe hypoglycemic attacks (Table 1). The mean score of SMS quality, assessed by the parents, was 8.7 out 10.

Table 1. Effects of Short Message Service on Glycemic Control, Knowledge, and Monitoring Compliance of Patients With Type 2 Diabetes ^a,b

Variable	Pre-SMS Initiation	Post-SMS Initiation	P Value
FBS, mmol/L	8.60 ± 3.16	7.76 ± 3	0. 001
Postprandial blood glucose, mmol/L	10.98 ± 4.03	10.65 ± 3.20	0.195
Frequency of simple hypoglycemic attacks per week	0 (1)	0 (0)	0.436
Frequency of hyperglycemic attacks per week	2 (2)	2 (2)	0.052
HbA1c, %	9.9 ± 1.8	9.5 ± 1.7	0.014
Frequency of blood glucose monitoring per day	0 (1)	1 (1)	0.428
Score of the patients' knowledge test	17 (6)	19 (5)	< 0.0001

^a Data are presented as median (interquartile range) or mean ± SD.

^b Abbreviations: SMS, short message service; FBS, fasting blood sugar; and HbA1c, glycosylated hemoglobin.

5. Discussion

Growing evidence suggests that utilizing mobile phones might improve diabetes self-management and clinical outcomes (6-10). A meta-analysis examined the effectiveness of mobile phone technology in diabetes mellitus care by reviewing 15 English-language articles, published between January 2002 and March 2012. Studies that used mobile phone intervention and reported changes in diet, physical activity, and blood glucose and/or HbA1c levels were retrieved. Overall, significant improvements were observed in blood glucose and/or HbA1c concentration, adherence to medication, healthy lifestyle, and self-efficacy (11). These studies took place in several countries including the United States. Our Study is probably among the first ones to be conducted in the Arab peninsula where diabetes prevalence is very high. In our study, the change in post prandial blood sugar was remarkable, which significantly decreased the level of HbA1c.

Holtz et al. identified peer-reviewed articles published between 2000 and 2010 and analyzed 21 articles in a systematic literature review. Overall, 71% of the studies had used a study-specific application, which had supplemental features in addition to text messaging. The outcomes varied considerably across studies, but some positive trends such as improved self-efficacy, HbA1C, and self-management behaviors were noted (12). In our cohort, SMS positively modified patients’ behavior. Although the frequency of blood glucose monitoring was not increased significantly, the rate of glycemic control was improved.

A feasibility study was conducted to evaluate the utility of SMS in supporting 42 Iraqi adults with newly diagnosed type 2 diabetes over 29 weeks. HbA1c decreased from 9.3% (SD, 1.3%) to 8.6% (SD, 1.2) (P = 0.001). Mean knowledge score rose from 8.6 (SD, 1.5) at baseline to 9.9 (SD, 1.4) six months after receipt of SMS (P = 0.002). All patients were satisfied with the text messages and wished the service to be continued after the study (13). Our study demonstrated similar benefits of this technology on diabetes education and management.

The effect of distance education via mobile phone text messaging on knowledge, attitude, practice, and self-efficacy was evaluated in patients with type 2 diabetes mellitus in Iran. The results in the experimental group showed significant improvement in HbA1c (P = 0.024), low density lipoprotein (P = 0.019), cholesterol (P = 0.002), and micro albumin (P ≤ 0.001). The knowledge (P ≤ 0.001), practice (P ≤ 0.001), and self-efficacy (P ≤ 0.001) were also improved (14).

In a randomized study in India, the acceptability and feasibility of using SMS via cell phones to ensure adherence to management prescriptions was tested. Medications adherence improved and positively affected HbA1c and plasma lipids levels (15). We did not test medications adherence in our study; however, the patients admitted that their compliance with drug intake was better. A one-way video message about diabetes self-care was sent to 65 patients with type 2 diabetes for one year. Participants were randomized to receive the usual care or the self-care video messages from their diabetes nurse practitioner. Participants who received the messages had a larger rate of decline in HbA1c than people who received usual care had (0.2% difference over 12 months) (16). We believe that multimedia message service might have a better audiovisual effect in comparison to regular SMS; however, it should be tested in further studies.

Mobile phone text educational and interactive messaging service might provide benefit in supporting diabetes self-management. The results of this study might help to design future text message interventional support programs for other chronic illnesses.

Acknowledgements

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International Journal of Endocrinology and Metabolism

Published by: Kowsar

Effect of Mobile Phone Short Text Messages on Glycemic Control in Type 2 Diabetes

Article information

Abstract

1. Background

2. Objectives

3. Patients and Methods

4. Results

5. Discussion

Acknowledgements

References

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