Associations between participant characteristics, digital intervention engagement and recovery outcomes for participants accessing ‘Breaking Free Online’ at ‘Change Grow Live’

Elison-Davies, Sarah; Hayhurst, Karen P.; Jones, Andrew; Welch, Zoe; Davies, Glyn; Ward, Jonathan

doi:10.1080/14659891.2020.1851407

Cited by 7 publications

(6 citation statements)

References 43 publications

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“…The data suggests that highly engaged individuals exhibit a U-shaped relationship between their level of engagement and their stage of change for physical activity, a finding not previously documented in scientific literature. Specifically, many authors argued that a dose-response relationship between intervention engagement and health behavior can be observed (Elison Davies et al, 2020; McLaughlin et al, 2021; Summers et al, 2021), while others pled for a more complex (quadratic) relationship (Lippke et al, 2016). In our study, we found that individuals’ ability to move their body as intended plays a role in this, forming a complex behavior pattern.…”

Section: Discussionsupporting

confidence: 46%

“…Beyond these discussions of how to measure intervention engagement, there is another debate on how intervention engagement works. On the one hand, some authors argue based on learning theory from a dose–response perspective that greater intervention engagement leads to greater desired changes (Elison Davies et al, 2020; McLaughlin et al, 2021; Summers et al, 2021). However, others found a more complex, nonlinear but rather quadratic relationship between intervention engagement and behavior change.…”

Section: The Effectiveness Of Physical Activity Interventionsmentioning

confidence: 99%

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Physical Activity and Social Participation in Older Adults in a Cross-Over Intervention Trial

Rinn,

Keller,

Peters

et al. 2023

Zeitschrift für Psychologie

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Objective: Using the biopsychosocial model, this study evaluated an intervention targeting physical activity and the extent of social participation among older adults. A longitudinal intervention study with participants randomized to print-based or IT-based interventions was conducted ( N = 251, Mage = 68.42, SD = 5.35). Effects were assessed with mixed model analyses and serial mediation analyses. Results: Time had a significant effect [ F(2,358) = 11.7, p < .001], with an increase in social participation. Poor self-reported physical performance was related to a poorer social participation over time, but being physically active buffered this negative effect (total indirect effect: B = −0.02). Furthermore, highly engaged individuals with poor self-reported physical performance were likely to fall back into a previous stage of change regarding physical activity ( B three-way interaction = 0.28, SE = 0.12, p = .017). Discussion: Individual preconditions should be considered when developing physical activity interventions to improve social participation.

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Section: Discussionsupporting

confidence: 46%

Section: The Effectiveness Of Physical Activity Interventionsmentioning

confidence: 99%

Physical Activity and Social Participation in Older Adults in a Cross-Over Intervention Trial

Rinn,

Keller,

Peters

et al. 2023

Zeitschrift für Psychologie

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“…A minority of the selected studies computed the effect size [ 38 , 39 , 40 ] and found low or medium effect sizes. If we compare the effect sizes resulting from digital interventions, as reported in this review, with those of real-world interventions, we observe that real-world treatment interventions produce not only small or medium but also large effect sizes [ 53 , 54 ].…”

Section: Discussionmentioning

confidence: 99%

Digital Help for Substance Users (SU): A Systematic Review

Bonfiglio

Mascia

Cataudella

et al. 2022

IJERPH

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The estimated number of Substance Users (SU) globally has currently reached a very high number and is still increasing. This aspect necessitates appropriate interventions for prevention and specific treatments. The literature shows that digital treatments can be useful in the context of health services and substance abuse. This systematic review focuses mainly on research on the effectiveness of digital treatments for SU. Data sources included studies found on PsycINFO, PubMed, SCOPUS, and WebOfScience (WOS) database searches. The following keywords were used: TITLE (digital OR computer OR software OR tablet OR app OR videogame OR seriousgame OR virtualreality) AND ABSTRACT((mental AND health) AND (addiction OR dependence OR substance OR drug)). We focused on peer-reviewed articles published from 2010 through 2021 using PRISMA guidelines. A total of 18 studies met the inclusion criteria (i.e., type of intervention, efficacy in terms of misuse of substances and scored outcomes from questionnaire or toxicology tests, study methodology). The studies included investigations of specific digital treatments for SU of various kinds of drugs. The interventions were administered using personal computers, smartphones, or, in a few cases, tablets. Most of the interventions focused on the cognitive behavior therapy (CBT) model and/or on the use strategies, tips, or feedback. A minority provided information or training programs. The current review shows that digital treatments and interventions are effective in reducing the frequency of use, augmenting abstinence, or reducing the gravity of dependence for most of the studies at post-treatment. However, due to the heterogeneity of the variables (i.e., substance type, digital tool used, and treatment administered), there was a reduced generalizability of the results. This review highlights the need to continue the research in this field, and above all, to create effective digital protocols.

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“…Dugdale et al 2017;Elison et al 2015) and characteristics of individuals accessing the program via UK treatment services have also been reported (e.g. Elison, Jones, et al 2017;Elison-Davies, Hayhurst, et al 2021).…”

Section: The Potential Of Digital Cognitive Behavioral Therapy In Tre...mentioning

confidence: 96%

“…To date, all published data from this digital CBT program has come from individuals engaging with it via UK treatment services (e.g. Elison-Davies, Hayhurst, et al 2021 ), where methamphetamine is not a commonly used drug – a recent government report from 2020 to 2021 showed that only 505 members of the UK treatment population reported methamphetamine use (Office for Health Improvement and Disparities 2021 ). Therefore, this study also provides the first opportunity to report data from people engaging with the program for methamphetamine use.…”

Section: Introductionmentioning

confidence: 99%

Associations between psychosocial risk factors, and changes in substance dependence and psychosocial functioning, during engagement with digital cognitive behavioral therapy for methamphetamine use: use of 'Breaking Free from Substance Abuse' by incarcerated people during the COVID-19 pandemic

Elison-Davies¹,

Newsome²,

Jones

et al. 2022

Health Justice

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Background Methamphetamine use can be associated with involvement with correctional services and incarceration. Traditionally, treatments for methamphetamine use have been delivered in-person – however, lockdowns initiated during the COVID-19 pandemic significantly reduced access to such in-person support in prisons. Therefore, in May 2020 a digital cognitive-behavioral therapy (CBT) program for substance use disorders - 'Breaking Free from Substance Abuse' - was made available across prisons in Ohio in order to meet this treatment gap. This represents the first time this digital CBT intervention has been made widely available to incarcerated people residing in prisons or jails in the United States (US). This was a within-subjects study using data from 2187 Ohio prison residents who engaged with this digital CBT program to address their methamphetamine use. Results Participants reported multiple psychosocial risk factors, including moderate to severe substance dependence, depression and anxiety; interpersonal conflict; aggressive behavior; paranoia; and difficulties with work, education and accommodation. Significant reductions in substance dependence, depression/anxiety and biopsychosocial impairment, and improvements in quality of life, were identified in the sample. Risk factors were associated with less positive outcomes, specifically interpersonal conflict and poor mental health. Completion of specific components of the program were associated with more positive outcomes – a dose response was also identified. Conclusions Digital CBT can be delivered in secure US correctional settings and may help to fill unmet needs for in-person treatment. Specifically, this digital CBT program may support incarcerated individuals to address methamphetamine use, with outcomes being associated with psychosocial risk factors and program engagement.

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Associations between participant characteristics, digital intervention engagement and recovery outcomes for participants accessing ‘Breaking Free Online’ at ‘Change Grow Live’

Abstract: Associations between baseline service user characteristics, engagement with a tailorable computer-assisted therapy for substance misuse, and clinical outcomes: Effectiveness of 'Breaking Free Online' at health and social care organisation 'Change, Grow, Live'

Cited by 7 publications

References 43 publications

Physical Activity and Social Participation in Older Adults in a Cross-Over Intervention Trial

Physical Activity and Social Participation in Older Adults in a Cross-Over Intervention Trial

Digital Help for Substance Users (SU): A Systematic Review

Associations between psychosocial risk factors, and changes in substance dependence and psychosocial functioning, during engagement with digital cognitive behavioral therapy for methamphetamine use: use of 'Breaking Free from Substance Abuse' by incarcerated people during the COVID-19 pandemic

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