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 .
The use of information technology for the management of intensive insulin therapy in type 1 diabetes mellitus.
OBJECTIVE The purpose of the study was to evaluate the safety of a computer program used by the patient for the adjustment of insulin doses to achieve tight glycemic control in type 1 diabetic subjects on intensive insulin therapy . METHODS Ten type 1 diabetic patients participated in the study . Using the basal-bolus ( UL-Humalog ) insulin regimen , they were r and omized in a crossover design to 2 intensive treatment periods of 8 weeks each , one with and the other without the assistance of a computer program via the Internet . They measured their capillary blood glucose regularly , and the results were entered on a daily basis into their log-book or in the computer . During intensive treatment with the computer , the software would provide recommendation for insulin dose adjustment according to specific algorithms . When on intensive treatment without computer assistance , they would adjust their own insulin dose according to the same algorithms . RESULTS The study subjects followed 89 % of the recommendations made by the computer . With the computer , subjects made more insulin dose adjustments ( 98 versus 50 ) than without . Intensive treatments with and without computer assistance result ed in a similar improvement of pre-meal/post-pr and ial capillary blood glucose from 7.6 + /- 2.7/9.5 + /- 2.5 to 6.7 + /- 2.3/8.8 + /- 2.5 and 6.7 + /- 2.6/9.0 + /- 2.6 mmol/L , respectively . Glygated hemoglobin also improved from 7.7 + /- 0.9 % to 7.2 + /- 0.7 and 7.3 + /- 0.8 % , respectively . The incidence of minor hypoglycemia was similar under both intensive treatments ( 7.9 + /- 4.0 and 7.1 + /- 5.0/patient/28 days , respectively ) . Both treatments increased patient behavior while patient knowledge of their disease was improved only during computer assistance . There was no effect on quality of life . The study subjects greatly appreciated the software and wanted to continue using it . CONCLUSIONS The study demonstrated that the use of computer software by the patient to adjust insulin doses for intensive insulin therapy is feasible and is not associated with increased adverse events
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 .