P573Effects of mobile text messaging on glycemic control in patients with coronary heart disease and diabetes mellitus: a randomized controlled trial
Authors: Huo X H , Krumholz H M K , Bai X B , Spatz E S S , Ding Q D , Horak P H , Zhao W Z , Gong Q G , Yan X Y , Wu X W , Li J L , Li X L , Spertus J A S , Masoudi F A M , Zheng X Z 
Published: October 2019

Background

Mobile health interventions hold the prospect to support risk factor and lifestyle modification and are readily scalable in healthcare systems.

Purpose

We aim to assess whether text messaging program can improve glycemic control in high-risk patients with coronary heart disease (CHD) and diabetes mellitus (DM).

Methods

The study was a multi-centre randomised clinical trial conducted at 34 clinics in China. 502 individuals with both CHD and DM were recruited and randomly assigned to either the text messaging intervention (n=251) or control group (n=251). The control group received 2 thank-you messages per month in addition to usual care. The intervention group received 6 messages per week for 6 months. Messages provided educational and motivational information related to glucose monitoring, BP control, physical activity and lifestyle recommendations. The primary outcome was change in glycemic hemoglobin (HbA1C) from baseline to 6 months.

Results

Follow-up rate was 99%. At 6 months, HbA1C was significantly lower in intervention group compared to control group (mean HbA1C 6.7% vs. 7.2%, P<0.001), with a mean change of −0.2% and 0.1% from baseline, respectively (mean absolute change −0.3% [95% CI −0.5 to 0.1]; P=0.003). Significantly more participants in intervention group achieved a HbA1c<7% (69.3% vs. 52.6%; P=0.004), and change in FBG was larger in intervention group (−0.5 vs. 0.1 mmol/L; P=0.011). No differences in SBP, LDL-C, BMI and physical activity were observed. Almost all patients reported messages to be easy to understand (97.1%) and useful (94.1%).

Table 1. Primary and Secondary Outcomes Analyses at 6 Month Follow-up Parameter Intervention (N=251) Control (N=251) Mean Difference in Change P value for Baseline 6 Months Mean Change Baseline 6 Months Mean Change (95% CI) Difference in Change Primary Outcome HbA1C level, %, mean (SD) 6.9 (1.4) 6.7 (1.3) −0.2 (1.0) 7.1 (1.4) 7.2 (1.5) 0.1 (1.1) −0.3 (−0.5, −0.1) 0.003 Secondary Outcomes HbA1C level<7%, No. (%) 155 (62.0%) 174 (69.3%) – 139 (56.1%) 132 (52.6%) – 1.2 (1.1, 1.3)a 0.004   FBG, mmol/L, mean (SD) 8.1 (2.7) 7.5 (2.7) −0.5 (2.5) 8.5 (3.0) 8.6 (3.3) 0.1 (3.1) −0.6 (−1.1, −0.2) 0.011   SBP, mmHg, mean (SD) 135.9 (18.4) 134.7 (18.7) −1.4 (17.1) 135.9 (18.1) 132.2 (17.7) −3.5 (17.8) 2.4 (−0.8,5.5) 0.144   LDL-C, mmol/L, mean (SD) 2.6 (0.8) 2.5 (0.7) −0.1 (0.7) 2.6 (0.8) 2.5 (0.8) −0.1 (0.7) 0 (−0.1, 0.1) 0.828   BMI, mean (SD) 26.4 (3.2) 26.3 (3.5) −0.1 (2.1) 26.3 (3.2) 26.0 (3.4) −0.4 (2.5) 0.3 (−0.1, 0.7) 0.213   Physical activity (MET min/wk), 1386 1386 177 1386 1386 322 −70.7 0.784     median (IQR) (693–3066) (918–3612) (2840) (693–3066) (693–3002) (2635) (−574.9, 433.5)

Conclusion

Use of a simple, culturally sensitive mobile text-messaging program could be an effective and scalable way to improve disease self-management among patients with CHD and DM.

Acknowledgement/Funding

Research Special Fund for Public Welfare Industry of Health (201502009) from the National Health and Family Planning Commission of China