1. Academic Research
The impact of interventions to improve medicine engagement
Peer-reviewed research reports published over the decade support that automated interventions improve adherence and engagement – the findings are statistically relevant. Following is a paper that evaluated 11 of those papers’ conclusions.
Paper Title: The effect of reminder systems on patients’ adherence to treatment
Purpose: This meta-analysis aims to systematically review published randomized controlled trials of reminder interventions to assist patient adherence to prescribed medications.
Results: Eleven published randomized controlled trials were found between 1999 and 2009, which measured adherence to a daily medication in a group receiving reminder interventions compared to controls receiving no reminders. Medication adherence was calculated as the number of doses taken compared to the number prescribed within a set period of time. Meta-analysis showed a statistically significant increase in adherence in groups receiving a reminder intervention compared to controls (66.61% versus 54.71%, 95% CI for mean: 0.8% to 22.4%).
2. our Study I
A pilot study was conducted to evaluate the Operations of the system with 18 subjects taking oral dr
Figure on left: Chronology plot of type 2 diabetic patient’s dosing history during prescribed treatment with a twice-daily oral dosing regimen of a Drug. The Patient was scheduled to take the Drug at 9 am and 9 pm. By observing the above data, a potential inference reached by the system is that the system will recommend to the Patient that switching from twice-a-day to once-a-day dosing would be better, if possible.
3. our Study II
Result of 3 Month Adherence Improvement Pilot Study
Our pilot study found that Patients (N=18), with type-II diabetes and using our solution have a higher level of medication adherence, that is statistically significant (p < 0.01), than a matched control group.
Non-Adherence, all Patients (N = 18), the mean age of the patients was 44.6 and approximately equal in male-female ratio, however there is sampling error. Patients took the drug 2 times per day for 3 months. Y-axis shows the %non-adherence of the study population, where 0% means complete adherence.
Broad use of this technology can lead to better overall control of cost savings for the health care system and new business opportunities for our Customers.
