I’m interested in the area of EdTech applied to reduce adverse event in the elderly but independent population, specifically in the area of medications interaction, aka, medication reconciliation. The main idea is to use interactive learning via mobile devices to follow up with elderly patients after they had been discharged from hospital and help them to better understand the risks of wrong medications combination and the importance of follow specific instructions, aka, health care (post discharge) plan; the final target goal will be to reduce readmissions due to adverse events associated with medication interaction. I can see 2 characteristics in the target population, 1) the possible lower literacy in the use of mobiles devices applications, and 2) the stress associated with the recent discharge from hospital. I’d appreciate any reference useful resources in those areas.
Thanks a lot.
Check the nursing literature. There is quite a lot about use of mobile devises. The VA may have some trials ongoing as well.
Uvernes, you've identified one of the problems with getting elderly patients to use technology as part of their (self) care: those who need help with their care are less likely to be able or willing to use technology (http://bit.ly/1KO0Oxc).
Any research in this area should take care to ensure that the demographic profile of the patients being studyied is close to the profile of patients in general. Distributing an invitation to participate by email or social media, for example, will immediately exclude those who don't use technology.
Hi Chris, thanks a lot, you make a really good point in your paper. As far as I have found there are 2 initiatives that seems promising to solve part of the problem you expose, one is a product named X-plain from the Patient Education Institute (PEI), and the other one is Vocera Good to Go® Patient Discharge Communication owned by Vocera Communications, Inc. I still do not have enough information to give an educated opinion on those initiatives.
For the design focused on the need and habit (or assimilation capacity) of the DDD population, I think some metacognition studies on the DDD population needs to be conducted using machine learning and gamification. Low cost devices can be used.
Thanks a lot
X-plain and the Vocera system both look interesting, Uvernes, but I couldn't see any obvious evidence of effectiveness among 'DDD' type patients (although admittedly it was a very quick look). Onset of multiple chronic conditions, low text, health and technical literacy, and low income all tend to cluster in the same disadvantaged cohorts, and it can be hard to engage them in research activities.
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