mHealth

So we're looking into this kind of stuff.

I am, uh, talking with many colleagues who are in HCI for mHealth who think about this, so it's not just me.

And, um, together with one of my mentors, who's Santhosh Kumar at the mDOT Center, um, he's helped me think through some, um, causal diagrams of user behavior in mHealth.

And together we've come up with this.

This is a simplified example, um, but-- or incomplete example, I should say, where you could argue that the timing of the intervention and the content of the intervention affect the burden to the end user.

29.

Gamified surveys and cognitive load detection in mHealth Conclusion, acknowledgement, and references This study explores gamified mHealth surveys and machine learning-based cognitive load detection, aiming to improve patient engagement and survey completion.

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Eye strain headaches.

Patients are starting to take the lead thanks to health wearables, better communication with doctors and new technology.

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Gamified Surveys and Cognitive Load Detection in mHealth.

Results in Discussion This study explores gamified mHealth surveys in machine learning-based cognitive load detection, aiming to improve patient engagement and survey completion.

So I think it, yeah, it depends how you define it.

I think 10 years ago or so, if you look at the literature, there's a lot of reference to like mHealth or it started with eHealth and mHealth.

Now, I think it's more common to refer to digital technologies so that it basically encompasses everything.

It can be from apps to web programs.

Um, I'm Melissa Middeldorp from the Center for Heart Rhythm Disorders, and I'm coming to you today live from HRX in Atlanta.

Um, today we're discussing the recently published paper in The Lancet Regional by Dr. Lipp and colleagues titled Integrated Care Management and Comprehensive Geriatric Assessment using a mHealth-Based Approach in Older Multimorbid Patients with Age Atrial Fibrillation: The AFIRMO Cluster-Randomized Trial.

Bit of a mouth full there.

[laughs]

They involve personality, psychosocial health, and physical functioning.

When you're designing mobile health or mHealth interventions, how do you go about tailoring these programs to fit these different patient profiles?

The big thing we try to do is really make it the program for people to really pick and choose what works for them.

So when we're putting everything together, we're trying to basically cover everything under the sun that we can feasibly make available on technology.