Videoconferencing-based telemedicine services have the potential to address the problem of poor access to diabetes specialists in remote rural communities. However, evidence of efficacy of telemedicine services on HbA1c in the rural setting has been quite limited. We created the Telemedicine for Reach, Education, Access, and Treatment (TREAT) model—a system that combines videoconferencing consultations provided by an endocrinologist at an urban center in collaboration with a local diabetes educator. In this study, we tested the efficacy of TREAT on HbA1c control.

Protocols were approved by the local institutional review board. Volunteers with type 2 diabetes with HbA1c >7.0% and residing within a medically underserved rural Pennsylvania community were recruited. Referral, recruitment, and telemedicine consultations between urban and rural sites were conducted as in one of our previous studies (1). Seventy-one patients were referred, of which 40 expressed an interest in participating. Thirty-one patients consented and enrolled; two withdrew and four were lost to follow-up between the first and second follow-up assessment.

At each telemedicine visit at the rural site, participants were assisted by the local diabetes nurse educator. Each participant underwent a telemedicine visit with an urban center–based endocrinologist at baseline and 3 months later for adjustments in therapy. HbA1c was measured at baseline, 3 months (first follow-up), and 6 months (second follow-up). Before enrollment, TREAT participants were not consistently self-monitoring blood glucose (SMBG), but all received diabetes education (including SMBG) with the baseline TREAT visit.

HbA1c results were compared with control subjects who received usual care from primary care providers in the same community (usual-care group). This approach was chosen because of the low population density and number of primary care practices in the rural community, making it hardly feasible to conduct a randomized trial. Data were collected from electronic medical record visits between 2007 and 2011. All usual-care patients had documented diabetes self-management education.

Participant characteristics were statistically comparable between groups (Table 1). Most participants were older adults with obesity, typical of the type 2 diabetes population. Target-organ complications and use of insulin therapy were frequent.

Table 1

Characteristics of participants at baseline

Telemedicine (N = 31)Usual care (N = 63)P
Race   0.14 
 Caucasian 30 (96.8) 62 (98.4)  
 Native American 1 (3.2) 0 (0)  
 Other 0 (0) 1 (1.6)  
Sex   0.17 
 Male 12 (41.4) 17 (27.0)  
 Female 17 (58.6) 46 (73.0)  
Age, years   0.33 
 Mean ± SD 62.8 ± 9.8 60.2 ± 12.0  
 Range, minimum–maximum 38.0–80.0 24.7–83.3  
BMI, kg/m2 36.3 ± 8.2 35.5 ± 8.4 0.63 
Baseline HbA1c   0.97 
 % 8.6 ± 1.0 8.9 ± 1.9  
 mmol/mol 70 ± 10.9 74 ± 20.8  
Duration of diabetes, years 14.2 ± 7.8 13.1 ± 7.8 0.65 
Diabetes complications    
 Nephropathy 6 (19.4) 9 (14.3) 0.36 
 Neuropathy 14 (45.2) 19 (30.2) 0.76 
 Retinopathy 7 (22.6) 8 (12.7) 0.38 
 Coronary artery disease 11 (35.5) 15 (23.8) 0.46 
 Any complication 19 (61.3) 32 (50.8) 0.38 
Insulin therapy at baseline 24 (77.4) 39 (61.9) 0.33 
Telemedicine (N = 31)Usual care (N = 63)P
Race   0.14 
 Caucasian 30 (96.8) 62 (98.4)  
 Native American 1 (3.2) 0 (0)  
 Other 0 (0) 1 (1.6)  
Sex   0.17 
 Male 12 (41.4) 17 (27.0)  
 Female 17 (58.6) 46 (73.0)  
Age, years   0.33 
 Mean ± SD 62.8 ± 9.8 60.2 ± 12.0  
 Range, minimum–maximum 38.0–80.0 24.7–83.3  
BMI, kg/m2 36.3 ± 8.2 35.5 ± 8.4 0.63 
Baseline HbA1c   0.97 
 % 8.6 ± 1.0 8.9 ± 1.9  
 mmol/mol 70 ± 10.9 74 ± 20.8  
Duration of diabetes, years 14.2 ± 7.8 13.1 ± 7.8 0.65 
Diabetes complications    
 Nephropathy 6 (19.4) 9 (14.3) 0.36 
 Neuropathy 14 (45.2) 19 (30.2) 0.76 
 Retinopathy 7 (22.6) 8 (12.7) 0.38 
 Coronary artery disease 11 (35.5) 15 (23.8) 0.46 
 Any complication 19 (61.3) 32 (50.8) 0.38 
Insulin therapy at baseline 24 (77.4) 39 (61.9) 0.33 

Data are n (%) or mean ± SD, unless otherwise indicated. Comparisons between groups were conducted by two-tailed t test or χ2 where appropriate. There were no statistically significant (P < 0.05) differences between groups.

In the TREAT model, participants experienced a significant improvement in HbA1c from baseline (Fig. 1A). The improvement was statistically greater than that observed in the usual-care group. On multivariate analysis, differences between groups remained significant after adjustment for insulin use, BMI, age, sex, and duration of diabetes (Fig. 1B). Because TREAT was designed as a team approach, the relative impact of its subcomponents on the outcomes is hard to discern. However, it appears that both the physician and nurse respectively contributed to drive and support therapy intensification. In 84% of TREAT participants, therapy was intensified, as defined by one or more of the following: initiating insulin therapy, adding another insulin formulation, or increasing the total daily insulin dose or oral agents. In 29.0% of participants, basal insulin was started, whereas in 25.8%, prandial insulin was initiated. Insulin was started for the first time in 22.6% of the participants.

Figure 1

Glycemic control improves in the telemedicine-based TREAT model. Longitudinal analysis of the decrease in HbA1c and differences between the TREAT and usual-care groups was performed using two-piecewise mixed-effects regression models with random intercept (7). Unadjusted analysis (A) and multivariate model (B) adjusted for insulin therapy, BMI, age, sex, and duration of diabetes were performed. The median interval between the baseline and first follow-up assessments was 92 days (TREAT) vs. 86.5 days (usual care) (P = 0.25) and between baseline and the second follow-up was 183 days (TREAT) vs. 179 days (usual care) (P = 0.85). The change in HbA1c in the TREAT model was statistically different from that observed in the usual-care group (§P = 0.02). *P < 0.05, statistically significant change from baseline within group. Error bars indicate 95% CI. For reference, individual HbA1c values are also shown as mean ± SE.

Figure 1

Glycemic control improves in the telemedicine-based TREAT model. Longitudinal analysis of the decrease in HbA1c and differences between the TREAT and usual-care groups was performed using two-piecewise mixed-effects regression models with random intercept (7). Unadjusted analysis (A) and multivariate model (B) adjusted for insulin therapy, BMI, age, sex, and duration of diabetes were performed. The median interval between the baseline and first follow-up assessments was 92 days (TREAT) vs. 86.5 days (usual care) (P = 0.25) and between baseline and the second follow-up was 183 days (TREAT) vs. 179 days (usual care) (P = 0.85). The change in HbA1c in the TREAT model was statistically different from that observed in the usual-care group (§P = 0.02). *P < 0.05, statistically significant change from baseline within group. Error bars indicate 95% CI. For reference, individual HbA1c values are also shown as mean ± SE.

Close modal

Based on glucose meter data downloads, 93% of TREAT subjects adhered to SMBG recommendations during the intervention. Mean incidence of hypoglycemia was 1.7 events/30 days/person. Mild cases (60–69 mg/dL) were the majority (1.0 events/30 days/person). Severe hypoglycemia (<50 mg/dL) was rare (0.13 events/30 days/person).

There is a national shortage of endocrinologists for the large burden of type 2 diabetes (2,3), and rural communities are at particular disadvantage. Videoconferencing-based consultations, a form of telemedicine, offer the potential to overcome geographical barriers to care in rural communities. Different models of videoconferencing telemedicine in the rural setting have been tried. However, to date there has been insufficient evidence that HbA1c outcomes are meaningfully affected. Studies have either not reported HbA1c outcomes (4), lacked a control group (1,5), or showed small differences (ΔHbA1c ∼ −0.32%) (6). Furthermore, those studies have primarily relied on nurse-assisted education without direct endocrinologist involvement. Here, we demonstrate that the TREAT model delivers clinically meaningful HbA1c improvements over that achieved by local usual care in the community. We attribute this success to greater intensification of therapy made possible by combining active participation and follow-up by the endocrinologist and diabetes nurse already integrated in the community. Serious hypoglycemia was rare, suggesting safety in the approach.

To our knowledge, this study is the first to demonstrate robust effectiveness on HbA1c of a telemedicine model using endocrinologist and nurse collaboration. The TREAT model may be a viable option for rural communities suffering from a local shortage of endocrinologists.

Acknowledgments. The authors would like to express gratitude to Amy Triola, RN, MSN, and Donna Tarleton, RN, for assistance with this study and Justin Kanter (University of Pittsburgh Medical Center) for administrative support.

Duality of Interest. No potential conflicts of interest relevant to this article were reported.

Author Contributions. F.G.S.T. and L.M.S. designed the study, researched the data, and wrote the manuscript. K.R. provided statistical support and reviewed and edited the manuscript. K.A.H. reviewed and edited the manuscript. F.G.S.T. is the guarantor of this work and, as such, had full access to all the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis.

Prior Presentation. Parts of this study were presented at the 73rd Scientific Sessions of the American Diabetes Association, Chicago, IL, 21–25 June 2013.

Clinical trial reg. no. NCT01339208, clinicaltrials.gov.

This material is based on research sponsored by the Air Force Medical Support Agency, Modernization Directorate AFMSA/SG9 under agreement number FA7014-10-2-0005. The U.S. government is authorized to reproduce and distribute reprints for governmental purposes notwithstanding any copyright notation thereon. The views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of Air Force Medical Support Agency, Modernization Directorate AFMSA/SG9, or the U.S. government.

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