The narrative synthesis provided mixed effects of CHITs on other clinical , psychosocial , behavioral , and knowledge outcomes .
Conclusions The use of CHITs appears to be more effective than usual care in improving glycemic control for patients with diabetes .
However , their effectiveness did not remain consistent over time and in other patient outcomes .
Objective To reveal the effects of consumer-oriented health information technologies ( CHITs ) on patient outcomes in diabetes management over time through systematic review and meta- analysis .
Diabetes Self-Management Smartphone Application for Adults With Type 1 Diabetes: Randomized Controlled Trial
Background Persistently poor glycemic control in adult type 1 diabetes patients is a common , complex , and serious problem initiating significant damage to the cardiovascular , renal , neural , and visual systems . Currently , there is a plethora of low-cost and free diabetes self-management smartphone applications available in online stores . Objective The aim of this study was to examine the effectiveness of a freely available smartphone application combined with text-message feedback from a certified diabetes educator to improve glycemic control and other diabetes-related outcomes in adult patients with type 1 diabetes in a two-group r and omized controlled trial . Methods Patients were recruited through an online type 1 diabetes support group and letters mailed to adults with type 1 diabetes throughout Australia . In a 6-month intervention , followed by a three-month follow-up , patients ( n=72 ) were r and omized to usual care ( control group ) or usual care and the use of a smartphone application ( Glucose Buddy ) with weekly text-message feedback from a Certified Diabetes Educator ( intervention group ) . All outcome measures were collected at baseline and every three months over the study period . Patients ’ glycosylated hemoglobin levels ( HbA1c ) were measured with a blood test and diabetes-related self-efficacy , self-care activities , and quality of life were measured with online question naires . Results The mean age of patients was 35.20 years ( SD 10.43 ) ( 28 male , 44 female ) , 39 % ( 28/72 ) were male , and patients had been diagnosed with type 1 diabetes for a mean of 18.94 years ( SD 9.66 ) . Of the initial 72 patients , 53 completed the study ( 25 intervention , 28 control group ) . The intervention group significantly improved glycemic control ( HbA1c ) from baseline ( mean 9.08 % , SD 1.18 ) to 9-month follow-up ( mean 7.80 % , SD 0.75 ) , compared to the control group ( baseline : mean 8.47 % , SD 0.86 , follow-up : mean 8.58 % , SD 1.16 ) . No significant change over time was found in either group in relation to self-efficacy , self-care activities , and quality of life . Conclusions In adjunct to usual care , the use of a diabetes-related smartphone application combined with weekly text-message support from a health care professional can significantly improve glycemic control in adults with type 1 diabetes . Trial Registration Australian New Zeal and Clinical Trials Registry : ACTRN12612000132842 ; https://www.anzctr.org.au/Trial/ Registration /Trial Review .aspx?ACTRN=12612000132842 ( Archived by WebCite at http://www.webcitation.org/6Kl4jqn5u )
The narrative synthesis provided mixed effects of CHITs on other clinical , psychosocial , behavioral , and knowledge outcomes .
Conclusions The use of CHITs appears to be more effective than usual care in improving glycemic control for patients with diabetes .
However , their effectiveness did not remain consistent over time and in other patient outcomes .
Objective To reveal the effects of consumer-oriented health information technologies ( CHITs ) on patient outcomes in diabetes management over time through systematic review and meta- analysis .