Results Telemedicine programs that include a nutritional component show similar effect in diabetes management as those programs that do not .
Furthermore , subgroup analysis reveals that nutritional intervention via SMS such as email and text messages is at least as equally effective in reducing HbA1c when compared to personal nutritional counseling with a practitioner over videoconference or telephone .
Conclusion The inclusion of nutritional counseling as part of a telemedicine program does not make a significant difference to diabetes outcomes .
Incorporating nutritional counseling into telemedicine programs via SMS is at least as effective as counseling via telephone or videoconference
Background A growing number of studies and review s have documented the impact of telemedicine on diabetes management .
However , no meta- analysis has assessed whether including nutritional counseling as part of a telemedicine program has a significant impact on diabetes outcomes or what kind of nutritional counseling is most effective .
Evaluating the impact of mobile telephone technology on type 2 diabetic patients' self-management: the NICHE pilot study.
RATIONALE , AIMS AND OBJECTIVES Utilizing information technology , such as Internet and cellphones , holds great promise in enhancing diabetic care . Yet few studies have examined the impact of cellphone technology on type 2 diabetics ' self-care . The primary aim of the study is to examine the feasibility of utilizing this technology to assist with diabetes self-care in a clinic population as well as its impact on clinical outcomes . METHODS Thirty patients with a diagnosis of type 2 diabetes at two Community Health Centers were r and omized to intervention or control . Intervention patients participated in a brief intervention and received tailored daily messages via cellphone prompting them to enhance their diabetic self-care behaviour .  Patients at the control site continued with their st and ard diabetes self-management .  RESULTS A mean improvement in HbA1c levels was apparent ( -0.1 , SD = 0.3 % ; P = 0.1534 ) in the intervention group , compared with a mean deterioration in the control ( 0.3 , SD = 1.0 % ; P = 0.3813 ) , yet without statistical significance . Self-efficacy scores improved significantly in the intervention group ( -0.5 , SD = 0.6 ; P = 0.0080 ) compared with no improvement in the control ( 0.0 , SD = 1.0 ; P = 0.9060 ) . Participants encountered numerous technological barriers when attempting to adhere to the intervention protocol . CONCLUSION The results indicate the intervention had a positive impact on some clinical outcome and self-efficacy . Although the technology appears feasible in a clinical setting technology must be made more user-friendly before a larger phase II trial is conducted
Results Telemedicine programs that include a nutritional component show similar effect in diabetes management as those programs that do not .
Furthermore , subgroup analysis reveals that nutritional intervention via SMS such as email and text messages is at least as equally effective in reducing HbA1c when compared to personal nutritional counseling with a practitioner over videoconference or telephone .
Conclusion The inclusion of nutritional counseling as part of a telemedicine program does not make a significant difference to diabetes outcomes .
Incorporating nutritional counseling into telemedicine programs via SMS is at least as effective as counseling via telephone or videoconference
Background A growing number of studies and review s have documented the impact of telemedicine on diabetes management .
However , no meta- analysis has assessed whether including nutritional counseling as part of a telemedicine program has a significant impact on diabetes outcomes or what kind of nutritional counseling is most effective .