Commentary on Boumparis<i>et al</i>. (2017): It works, but only if they use it-addressing treatment adherence and attrition in internet interventions for illicit substance use

Stockings, Emily

doi:10.1111/add.13862

Cited by 6 publications

(8 citation statements)

References 12 publications

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“…The concerns of our interviewees echo the problem of engagement, which is well established in the literature [ 9 , 12 - 14 , 21 , 22 ] and which may be exacerbated when digital health tools do not provide a high-quality user experience. Interventionists should therefore draw from industry best practices to meet their recipients’ expectations.…”

Section: Discussionmentioning

confidence: 68%

“…Digital behavioral interventions have become increasingly popular for their ability to support patient diagnosis and treatment, chronic disease self-management, behavior change and adherence to recommended care, and primary prevention [ 1 ]. They have demonstrated broad promise in terms of efficacy [ 2 - 8 ], but evidence for specific use cases tends to be mixed [ 9 - 11 ], with engagement and retention being particular challenges [ 9 , 12 - 14 ], as well as low-quality evidence [ 10 , 15 , 16 ].…”

Section: Introductionmentioning

confidence: 99%

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Barriers and Considerations in the Design and Implementation of Digital Behavioral Interventions: Qualitative Analysis

Marcu¹,

Ondersma²,

Spiller³

et al. 2022

J Med Internet Res

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Background Digital behavioral interventions have become increasingly popular for their ability to support patient diagnosis and treatment, chronic disease self-management, behavior change, and adherence to recommended care. However, digital intervention development is impeded by challenges such as limited technical skills, limited access to developers, and cost. The purpose of this study is to elicit in-depth qualitative feedback from intervention developers who have interest in digital behavioral interventions but lack programming skills regarding the barriers they experience and key considerations in the design and implementation of digital interventions. Objective This study aims to understand barriers in the design and implementation of digital behavioral interventions, as well as to identify key considerations for researchers who are developing these interventions. Methods We conducted semistructured qualitative interviews with 18 researchers who had experience either designing (but not coding) digital behavioral interventions or running research studies with them. Participants were a convenience sample of users of the Computerized Intervention Authoring System platform, an existing no-code development platform for building digital intervention content, and were recruited through either direct email solicitation or snowball sampling. All interviews were conducted and recorded over videoconference between February and April 2020. Recordings from interviews were transcribed and thematically analyzed by multiple coders. Results Interviews were completed with 18 participants and lasted between 24 and 65 (mean 46.9, SD 11.3) minutes. Interviewees were predominantly female (17/18, 94%) and represented different job roles, ranging from researcher to project/study staff. Three key barriers in the development of digital behavior interventions were identified during interviews: lack of cross-disciplinary understanding; variability in recipients’ technology access, infrastructure, and literacy; and the idea that evidence-based in-person interactions do not translate directly to digital interactions. Interviewees identified several key considerations that interventionists learned to prioritize, which have the potential to overcome these barriers and lead to successful interventions. Conclusions Barriers in the development of digital behavioral interventions are often created by a lack of cross-disciplinary understanding, which can lead to difficulties conceptualizing interventions, unrealistic expectations in terms of cost, and confusion about the development process. Moreover, concerns about research study participant characteristics and access to technology, as well as the translation of in-person interventions to digital, are apparent. Appropriate training in how to work with software development teams may help future digital behavior intervention creators overcome these barriers and may lead to new, exciting innovations in this space.

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Section: Discussionmentioning

confidence: 68%

Section: Introductionmentioning

confidence: 99%

Barriers and Considerations in the Design and Implementation of Digital Behavioral Interventions: Qualitative Analysis

Marcu¹,

Ondersma²,

Spiller³

et al. 2022

J Med Internet Res

View full text Add to dashboard Cite

show abstract

“…This is particularly important nowadays, given the impact of COVID-19 pandemic, 2 which led to a generalization of the use of internet technology for mental healthcare. 3 However, the utilization level of the available programs is usually lower than expected 4 – 7 ; therefore, it is relevant to explore the subjects’ reasons for their use or non-use.…”

Section: Introductionmentioning

confidence: 99%

Understanding the use/non-use of an internet-based intervention complementing standard depression treatment: A qualitative study of user's experiences

Fernández,

Pérez,

Fernández

et al. 2023

DIGITAL HEALTH

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Introduction There is sufficient evidence about the effectiveness of internet-based interventions; however, the users’ level of adoption and utilization remains low, with this phenomenon requiring adequate explanation. Objective The aim of this qualitative study was to explore the users’ perceptions and experience of a web-based program (ASCENSO), designed to complement (usual) in-person depression treatment. Method Twelve participants of the ASCENSO program, comprised of adult individuals ( M = 44.3, SD = 13.4) of both genders (67% women) undergoing treatment for depression, were interviewed through semi-structured interviews. The data obtained from these interviews were analyzed utilizing a constructivist grounded theory approach. The interviews were transcribed and analyzed by trained coders. A constant comparative analysis of emergent themes was conducted. Results These show that users employ and appreciate the program when their interaction with it emulates a “humanized relationship,” that is, when the program is proactive in assisting users with their requests and when it responds in a pertinent and individualized manner to their emotional states and needs. Conclusions Our findings highlight the challenges associated with the development of algorithms capable of attracting different potential users. These should be designed to generate a virtual relationship that emulates human interaction and targets the characteristics of each user, for example, considering the specific phenomenology of their health condition, their present emotional states, and perceived needs. Elements that will vary as mental symptomatology evolve.

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“…41 Assessing the feasibility and use of mHealth interventions is especially relevant when considering the evidence available regarding their limited use by patients, either due to treatment drop-out or low adherence. [44][45][46][47] The prevalence and impact of symptoms of depression and anxiety on new mothers and their families highlight an urgent need to develop and adapt effective and easily accessible strategies to promote maternal emotional wellbeing. mHealth strategies hold the potential to reach large groups of women who present with limitations to access interventions and health services, partly due to the sanitary crisis.…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Online intervention to prevent postnatal depression and anxiety in Chilean new mothers: Protocol for a feasibility trial

Pérez

Aldoney

García

et al. 2022

Health Informatics J

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Symptoms of postpartum depression and anxiety in new mothers are prevalent and negatively impact maternal emotional wellbeing and infant development. Barriers to accessing treatment prevent women from receiving mental health care, a situation that has worsened due to the COVID-19 pandemic. mHealth interventions hold the potential to support women during the transition to parenthood despite these barriers and to promote the use of preventive interventions. This study uses a mixed methods design to assess the feasibility and preliminary effectiveness of a psychoeducational, guided mHealth intervention to prevent postpartum mental health difficulties in women who receive care in primary health centers in Chile. The study will contribute to evidence-based research on the effectiveness of mHealth interventions for new mothers from an understudied cultural background. The findings will also enable the development of a larger randomized controlled trial to assess the effectiveness of the intervention, which, if effective, could significantly contribute to the emotional wellbeing of women and their families.

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Commentary on Boumpariset al. (2017): It works, but only if they use it-addressing treatment adherence and attrition in internet interventions for illicit substance use

Cited by 6 publications

References 12 publications

Barriers and Considerations in the Design and Implementation of Digital Behavioral Interventions: Qualitative Analysis

Barriers and Considerations in the Design and Implementation of Digital Behavioral Interventions: Qualitative Analysis

Understanding the use/non-use of an internet-based intervention complementing standard depression treatment: A qualitative study of user's experiences

Online intervention to prevent postnatal depression and anxiety in Chilean new mothers: Protocol for a feasibility trial

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