Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Accepted for/Published in: JMIR mHealth and uHealth

Date Submitted: Mar 22, 2019
Open Peer Review Period: Mar 26, 2019 - May 16, 2019
Date Accepted: Jun 11, 2019
(closed for review but you can still tweet)

The final, peer-reviewed published version of this preprint can be found here:

Do Daily Fluctuations in Psychological and App-Related Variables Predict Engagement With an Alcohol Reduction App? A Series of N-Of-1 Studies

Perski O, Naughton F, Garnett C, Blandford A, Beard E, West R, Michie S

Do Daily Fluctuations in Psychological and App-Related Variables Predict Engagement With an Alcohol Reduction App? A Series of N-Of-1 Studies

JMIR Mhealth Uhealth 2019;7(10):e14098

DOI: 10.2196/14098

PMID: 31579022

PMCID: 6777278

Do daily fluctuations in psychological and app-related variables predict engagement with an alcohol reduction app? A series of N-of-1 studies

  • Olga Perski; 
  • Felix Naughton; 
  • Claire Garnett; 
  • Ann Blandford; 
  • Emma Beard; 
  • Robert West; 
  • Susan Michie

ABSTRACT

Background:

Previous studies have identified psychological and smartphone app-related predictors of engagement with alcohol reduction apps at a group level. However, strategies to promote engagement need to be effective at the individual level. Evidence as to whether group-level predictors of engagement are also predictive for individuals is lacking.

Objective:

This study aimed to examine whether daily fluctuations in: i) the receipt of a reminder, ii) motivation to reduce alcohol, iii) perceived usefulness of the app, iv) alcohol consumption, and v) perceived lack of time predicted within-person variability in the frequency and amount of engagement with an alcohol reduction app.

Methods:

A series of observational N-of-1 studies were conducted. The predictor variables were measured twice daily for 28 days via Ecological Momentary Assessments. The outcome variables were measured through automated recordings of participants’ app screen views. Nine London-based adults who drank alcohol excessively and were willing to set a reduction goal took part. Each participant’s dataset was analysed separately using Generalised Additive Mixed Models to derive incidence rate ratios (IRRs) for the within-person associations of the predictor and outcome variables. Debriefing interviews, analysed using thematic analysis, were used to contextualise the findings.

Results:

Predictors of the frequency and amount of engagement differed between individuals, and for the variables ‘perceived usefulness of the app’ and ‘perceived lack of time’, the direction of associations also differed between individuals. The most consistent predictors of within-person variability in the frequency of engagement were the receipt of a daily reminder (IRRs = 1.80-3.88, P’s < .05) and perceived usefulness of the app (IRRs = 0.82-1.42, P’s < .05). The most consistent predictors of within-person variability in the amount of engagement were motivation to reduce alcohol (IRRs = 1.67-3.45, P’s < .05) and perceived usefulness of the app (IRRs = 0.52-137.32, P’s < .05).

Conclusions:

The utility of the selected psychological and app-related variables in predicting the frequency and amount of engagement with an alcohol reduction app differed at the individual level. This highlights that key within-person associations may be masked in group-level designs and suggests that different strategies to promote engagement may be required for different individuals. Clinical Trial: osf.io/zn79m


 Citation

Please cite as:

Perski O, Naughton F, Garnett C, Blandford A, Beard E, West R, Michie S

Do Daily Fluctuations in Psychological and App-Related Variables Predict Engagement With an Alcohol Reduction App? A Series of N-Of-1 Studies

JMIR Mhealth Uhealth 2019;7(10):e14098

DOI: 10.2196/14098

PMID: 31579022

PMCID: 6777278

Download PDF


Request queued. Please wait while the file is being generated. It may take some time.

© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.