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Table 4 Supporting quotations for Theme 2 ‘the routine implementation of wearables into research and clinical practice

From: It’s not about the capture, it’s about what we can learn”: a qualitative study of experts’ opinions and experiences regarding the use of wearable sensors to measure gait and physical activity

Theme 2: the routine implementation of wearables into research and clinical practice
“That is indeed a problem because I am the reviewer of many papers and I see … of fantastic technical backbone but I see that it does not make sense from a clinical point of view, what they want to measure. Or maybe it is not useful but it does not make sense with regard to quality of life or whatever and the other way around. So when clinicians are measuring it is often obvious that the technology background is missing. So at least in my view the most important aspect is that the relevant stakeholders are sitting together, they try to understand each other's language and everyone is bringing every argument why something should work or should not work and why it is important or why it is not important.”—Participant 16, Male, Academic
“An interesting part in this sense is also the clinicians' expectations because there are so many times, I mean of course the clinicians I interact with are involved in research somehow and they are a different species but what happens to me is when I talk to a lot of consultants in the hospital for example they come to me and they are like, fantastic let's go and look at what happens to the patients in the house. And then when you ask them why, so what is the information that you want? They haven’t a clue. So they know that they want something but what will they do with that information? To me it is not that clear”—Participant 5, Female, Academic
“Certainly, for COPD which is my area, home monitoring so far for clinical purposes has been a complete dud. Eh well because the things that you can measure, oxygen saturation, heart rate, spirometry those kind of things are just, do not produce, they don’t influence clinical decision making in a positive way..… it’s just that the current technology and the current framework just isn’t there”—Participant 19, Male, Academic
“I think typically we are less, most of the human factors reasons we end up losing data not on the patient side but on the investigator side where you know….that’s another thing. You could arguably say that that’s one of the potential pitfalls of this, you know, the ubiquity of sensors, and it’s that when you bring a new researcher into a motion capture laboratory and they see the CODA system and they go wow that’s amazing. I’m going to have to get training so I can use that. I’m not going to be able to just come in, turn it on and figure it out. Whereas when they see a sensor they’re often like oh well that’s pretty easy you know, and frequently it’s not. Frequently there are you know again we’ve had so many times where somebody has put Shimmer on upside down, we’ve had so many times where somebody has forgotten to calibrate a sensor or you know things like that, they didn’t remember that the last person that used it before them was doing some jumping studies and the accelerometer range was completely different than they needed.”—Participant 4, Male, Academic
“That I don't know actually because I am not that software engineer so sometimes you upload the data directly to their service and from a clinical point of view you then look into the reports as soon as they are processed. Also because we are not that proficient with the scripting and the algorithms we tried to stay away from that as well, because you don't have enough background, you don't trust yourself fully enough.”—Participant 14, Female, Clinician
“No I’ve got a multi-disciplinary team, I’ve got 20 people in my group, half of which will be engineers of different engineering disciplines as well as computer scientists, mathematicians, clinicians, movement scientists. And I deliberately set up my team because I wanted to work with wearable sensors so that was a very deliberate choice.”—Participant 12, Female, Academic
“And of course from a clinical point of view sometimes you think that is not that difficult, you just turn your signal upside down or make the absolute values and then everything is going but of course from an engineering point of view that is not always the case”—Participant 13, Male, Academic