Operationalizing Engagement With an Interpretation Bias Smartphone App Intervention: Case Series.
JMIR Ment Health
; 9(8): e33545, 2022 Aug 17.
Article
em En
| MEDLINE
| ID: mdl-35976196
ABSTRACT
BACKGROUND:
Engagement with mental health smartphone apps is an understudied but critical construct to understand in the pursuit of improved efficacy.OBJECTIVE:
This study aimed to examine engagement as a multidimensional construct for a novel app called HabitWorks. HabitWorks delivers a personalized interpretation bias intervention and includes various strategies to enhance engagement such as human support, personalization, and self-monitoring.METHODS:
We examined app use in a pilot study (n=31) and identified 5 patterns of behavioral engagement consistently low, drop-off, adherent, high diary, and superuser.RESULTS:
We present a series of cases (5/31, 16%) from this trial to illustrate the patterns of behavioral engagement and cognitive and affective engagement for each case. With rich participant-level data, we emphasize the diverse engagement patterns and the necessity of studying engagement as a heterogeneous and multifaceted construct.CONCLUSIONS:
Our thorough idiographic exploration of engagement with HabitWorks provides an example of how to operationalize engagement for other mental health apps.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Idioma:
En
Revista:
JMIR Ment Health
Ano de publicação:
2022
Tipo de documento:
Article