FRAIL Pilot Evaluation (Part 2)

This article is part of a series, covering FRAIL pilot evaluation. The first article can be found here.

The FRAIL pilot testing took place in France and Germany, from April until November 2019.

To assess the participants’ sociodemographic status, their opinion about health monitoring, and the impact of the usage of the Lola App on the frailty of the user we created two questionnaires. The participants filled the first one, an Assessment Grid on the first day of the experiment. Three weeks later, on the last day of the experiment, participants filled the Post Questionnaire.

Questionnaires

The Assessment Grid Questionnaire has been assessed according to Fried Criteria: “The five frailty criteria are weight loss, exhaustion, low physical activity, slowness, and weakness. The sum score of these five criteria classifies people into one of three frailty groups: not frail (score 0), pre-frail (score 1–2) and frail (score 3–5)”. More details about the Fried Criteria can be found, for example in this research article.

For Post-Questionnaire, we selected three questions to be commented on and analyzed:

  • Self-evaluation of Health status and improvements / Feelings of security and control: to assess the Patients Outcomes
  • Falls evaluation / Watch assessment: to assess the efficiency of automatic fall detection
  • Monitoring Frailty: to assess the acceptability of the device regarding risk prevention

Self-perception assessment

Self-evaluation of health status and improvement questions have been added to the Assessment Grid and Post Questionnaire for two reasons. First, we wanted to assess the difference between frail rating according to Fried criteria and the perception participants have of their health. Second, we wanted to assess the impact of the watch with its Lola app on these perceptions.

figure 1

From these results, we can assume that the Fried criteria assessment of frailty matches with the self-perception participants have of their health:

  • Frail people have the highest score in health self-perception: that means they have the most negative perception of their health.
  • Prefrail people have a median score in health self-perception: that means they have a moderate perception of their health.
  • Robust people have the lowest score in health self-perception: that means they have the most positive perception of their health.

We can also observe the homogeneity of these perceptions over a year, according to the feeling of stress and interest in daily life activities.

figure 2

Conclusions

We can assume that the watch and Lola app had a slight impact on the participant’s self-perception of health. The impact of the watch is more significant on the General Self-Evaluation of Health and less significant on the feeling of interest for daily life activities. This could be interpreted as an impact of the watch more relevant in terms of risk prevention (I feel better because I wear this watch) as it would be in terms of motivation (I would feel more motivated wearing this watch to do daily life activities).

Interviews with participants confirmed our observations. The watch had no significant impact on the participants’ motivation. One of the reasons is, that a watch is an object of everyday life. Participants were more likely to forget the watch and to use it as a usual watch. To get more motivation for daily life activities, participants were in demand for more people around them: caregivers, family. They wouldn’t trust the watch enough to go out alone.

 

This article is part of a series, covering FRAIL pilot evaluation. In future articles, we’ll include fall detection, and show a few case studies.

Leave a Comment