Smartwatch-based Ecological Momentary Assessment for high temporal density longitudinal measurement of alcohol use (‘AlcoWatch’): a feasibility evaluation.

Background:

Ecological momentary assessment methods have recently been adapted for use on smartwatches. One particular class of these methods, developed to minimise participant burden and maximise engagement and compliance, are referred to as microinteraction ecological momentary assessment (micro-EMA).

Objective:

In this study we explore the feasibility of using these smartwatch-based micro-EMA methods to capture longitudinal, high temporal density self-report data about alcohol consumption in a non-clinical population selected to represent high and low Social-Economic Position (SEP) groups.

Methods:

Thirty-two participants from the Avon Longitudinal Study of Parents and Children (13 high, 19 low SEP) wore a smartwatch running a custom-developed micro-EMA app for 3 months between Oct 2019 and June 2020. Every day over a 12 week period, participants were asked five times a day about any alcoholic drinks they had consumed in the previous two hours, and the context in which they were consumed. They were also asked if they had missed recording any alcoholic drinks the day before. As a comparison, participants also completed fortnightly online diaries of alcohol consumed using the Timeline Followback (TLFB) method. At the end of the study participants completed a semi-structured interview about their experiences.

Results:

The compliance rate for all participants who started the study for the smartwatch micro-EMA method decreased from around 70% in week 1 to 45% in week 12, compared with the online TLFB method which was flatter at around 50% over the 12 weeks. The compliance for all participants still active for the smartwatch micro-EMA method was much flatter, around 70% for the whole 12 weeks, while for the online TLFB method it varied between 50% and 80% over the same period. The completion rate for the smartwatch micro-EMA method varied around 80% across the twelve weeks. Within high and low SEP groups there was considerable variation in compliance and completion at each week of the study for both methods. However, almost all point estimates for both smartwatch micro-EMA and online TLFB indicated lower levels of engagement for low SEP participants. All participants scored ‘experiences of using’ the two methods equally highly, with ‘willingness to use again’ slightly higher for smartwatch micro-EMA.

Conclusions:

Our findings demonstrate the acceptability and potential utility of smartwatch micro-EMA methods for capturing data on alcohol consumption. These methods have the benefits of capturing higher temporal density, longitudinal data on alcohol consumption, with greater participant engagement and less missing data, and with the potential to be less susceptible to the recall errors than established methods such as TLFB. Future studies should explore the factors impacting participant attrition (the biggest reason for reduced engagement), latency issues, and the validity of alcohol data captured with these methods. The consistent pattern of lower engagement in low SEP than high SEP participants indicates further work is also warranted to explore the impact and causes of these differences.