Perceived benefits of digital interventions for behavioral health: A qualitative interview study (Preprint)

2021 ◽  
Author(s):  
Gabriela Marcu ◽  
Steven J Ondersma ◽  
Allison N Spiller ◽  
Brianna M Broderick ◽  
Reema Kadri ◽  
...  

BACKGROUND Digital interventions have been gaining momentum in behavioral health. There are no standard approaches or tools for creating digital behavioral interventions, so many clinical researchers find their own way to realize them. There is likely variability in how researchers conceive of digital interventions. Even when grounding these interventions in similar behavioral theory and existing clinical approaches, there will not be a direct or obvious translation into a digital form of delivery. Moreover, the challenges of developing technology remain a significant barrier to use of digital interventions. Effective implementation of digital interventions in behavioral research, and improving the availability of tools and guidance for researchers, will require a thorough understanding of the motivations and needs of researchers seeking to create digital interventions. OBJECTIVE This investigation sought to understand the perceptions of behavioral researchers toward digital interventions, and inform use of these interventions, by documenting (a) reasons why researchers are increasingly focusing their efforts on digital interventions, and (b) their perspectives on the perceived benefits that digital approaches can provide for researchers and intervention recipients. METHODS We conducted semi-structured qualitative interviews with 18 researchers who had experience designing digital behavioral interventions or running studies with them. A convenience sample of interviewees was recruited from among users of the Computerized Intervention Authoring System (CIAS) platform, a web-based tool that facilitates the process of creating and deploying digital interventions in behavioral research. Interviews were conducted over teleconference between February and April 2020. Recordings from interviews were transcribed and thematically analyzed by multiple coders. RESULTS Interviews were completed with 18 individuals and lasted between 24-65 minutes (mean = 46.9 minutes; SD = 11.3 minutes). Interviewees were predominantly female (94.4%; 17/18) and represented different job roles ranging from researcher to project/study staff. Four major themes came out of the interviews concerning benefits of digital interventions for behavioral health: convenience and flexibility for interventionists and recipients; support for implementing evidence-based interventions with fidelity; scaling and improving access to interventions; “getting a foot in the door” despite stigma and disenfranchisement. CONCLUSIONS Interviewees described a number of important potential benefits of digital interventions, particularly with respect to scientific rigor, scalability, and overcoming barriers to reaching more people. There are complex considerations with regard to translating behavior change strategies into digital forms of delivery, and interventionists make individual, sometimes unexpected, choices with minimal evidence of their relative effectiveness. Future research should investigate how behavioral researchers can be supported in making these choices toward usability, ease of access, and approachability with digital interventions. Our study underscores the need for authoring platforms that can facilitate the process of creating and deploying digital interventions to reach their full potential for interventionists and recipients alike.

Author(s):  
Gabriela Marcu ◽  
Steven J Ondersma ◽  
Allison N Spiller ◽  
Brianna M Broderick ◽  
Reema Kadri ◽  
...  

2021 ◽  
Author(s):  
Gabriela Marcu ◽  
Steven J Ondersma ◽  
Allison N Spiller ◽  
Brianna M Broderick ◽  
Reema Kadri ◽  
...  

BACKGROUND Digital behavioral interventions have become increasingly popular for their ability to support patient diagnosis and treatment, chronic disease self-management, behavior change, and/or adherence to recommended care. However, many research teams with interests in this area are unable to develop digital interventions due to the challenges such as lack of technical skill, limited access to developers, and cost. The purpose of this study was to elicit in-depth qualitative feedback from intervention developers who have interests in digital behavioral interventions, but lack programming skills regarding the barriers they experience and key considerations that go into the design and implementation of digital interventions. OBJECTIVE To understand barriers to 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 semi-structured 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 (CIAS) 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 individuals and lasted between 24-65 minutes (mean = 46.9 minutes; SD = 11.3 minutes). Interviewees were predominantly female (94.4%; 17/18) and represented different job roles ranging from researcher to project/study staff. Three key barriers to 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 to 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 regards to 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.


2017 ◽  
Vol 34 (5) ◽  
pp. 442-454 ◽  
Author(s):  
Yu Liu ◽  
Sigal Segev ◽  
Maria Elena Villar

Purpose The purpose of this paper is to compare the effectiveness of the cognitive-affect behavior (CAB) model and the theory of reasoned action (TRA) model as well as their extended forms (with product knowledge) in predicting everyday green consumption among non-Hispanic White and Hispanic consumers. Design/methodology/approach Survey data from a convenience sample of 249 non-Hispanic Whites and 425 Hispanic adults were used to test the two models through structural equation modeling analyses. Findings While all tested models explained green consumption in both samples adequately, the basic TRA and the TPB (extended TRA) models were superior to the basic and extended CAB models. Including product knowledge further enhanced the predictive power of the two basic models. Research limitations/implications Self-reported surveys are subject to social desirability bias in the reporting of intentions and actual purchases of green products. Future research may attempt to collect data on actual green purchases. The selection of a general consumption context is limited in distinguishing between high- and low-involvement products. Future research should test the relative effectiveness of these models among specific green products with different levels of involvement. Practical implications Marketing and strategic communication programs should focus on increasing consumers’ positive attitudes about purchasing green products and promote green purchase intentions using intention-generating promotional tactics. This paper also stresses the need to increase consumers’ concrete knowledge about green products to drive actual purchase behavior. Social implications This paper can help communicators to further promote green consumption for routinely purchased consumer goods, which will ultimately enhance a healthier and more sustainable environment. Originality/value This paper extends the literature about green consumption, providing insights about the relative effectiveness of two widely accepted consumer behavior models. It implies that some models excel over others in terms of their explanatory power across consumer populations regardless of socio-demographic differences. It also stresses the importance of specifying explicitly behavioral control variables in green consumption research and provides a viable basis for the development of strategic marketing.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Przemyslaw Kardas ◽  
Marek Dabrowa ◽  
Konrad Witkowski

Abstract Background Due to high prevalence, non-adherence to prescribed treatment seriously undermines the effectiveness of evidence-based therapies in paediatric patients. In order to change this negative scenario, physicians need to be aware of adherence problem, as well as of possible solutions. Unfortunately, full potential of adherence-targeting interventions is still underused in Poland. Therefore, the aim of this study was to assess the knowledge, attitudes and behaviours toward non-adherence in Polish paediatricians. Methods An anonymous cross-sectional nationwide survey was conducted in the convenience sample of Polish doctors providing care to paediatric patients. The survey focused on the prevalence of non-adherence, its causes, and interventions employed. Primary studied parameter was perceived prevalence of non-adherence in paediatric patients. Reporting of this study adheres to STROBE guidelines. Results One thousand and thirty-three responses were eligible for analysis. Vast majority of respondents were female (85.9%), most of them worked in primary care (90.6%). The respondents represented all 16 Polish Voivodeships, with the biggest number coming from the Mazowieckie Voivodeship (n = 144, 13.9%). Survey participants believed that on average 28.9% of paediatric patients were non-adherent to medication. More than half of the respondents (n = 548, 53.0%) were convinced that their own patients were more adherent than average. Duration of the professional practice strongly correlated with a lower perceived prevalence of non-adherence. Professionals with more than 40 years of practice believed that the percentage of non-adherent patients was <=20% particularly often (OR = 3.82 (95% CI 2.11–6.93) versus those up to 10 years in practice). Out of all respondents, they were also most often convinced that their own patients were more adherent than the general population (P < 0.01). Consequently, they underestimated the need for training in this area. Conclusions Physicians taking care of Polish paediatric patients underestimated the prevalence of medication non-adherence and believed that this was a problem of other doctors. This optimistic bias was particularly pronounced in older doctors. These results identify important barriers toward improving patient adherence that are worth addressing in the pre- and post-graduate education of Polish physicians. They also put some light over the challenges that educational activities in this area may face.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Julien Fakhoury ◽  
Claudine Burton-Jeangros ◽  
Idris Guessous ◽  
Liala Consoli ◽  
Aline Duvoisin ◽  
...  

Abstract Background In Europe, knowledge about the social determinants of health among undocumented migrants is scarce. The canton of Geneva, Switzerland, implemented in 2017–2018 a pilot public policy aiming at regularizing undocumented migrants. We sought to test for associations between self-rated health, proven eligibility for residence status regularization and social and economic integration. Methods This paper reports data from the first wave of the Parchemins Study, a prospective study whose aim is to investigate the effect of residence status regularization on undocumented migrants’ living conditions and health. The convenience sample included undocumented migrants living in Geneva for at least 3 years. We categorized them into those who were in the process of receiving or had just been granted a residence permit (eligible or newly regularized) and those who had not applied or were ineligible for regularization (undocumented). We conducted multivariate regression analyses to determine factors associated with better self-rated health, i.e., with excellent/very good vs. good/fair/poor self-rated health. Among these factors, measures of integration, social support and economic resources were included. Results Of the 437 participants, 202 (46%) belonged to the eligible or newly regularized group. This group reported better health more frequently than the undocumented group (44.6% versus 28.9%, p-value < .001), but the association was no longer significant after adjustment for social support and economic factors (odds ratio (OR): 1.12; 95% confidence interval (CI): 0.67–1.87). Overall, better health was associated with larger social networks (OR: 1.66; 95% CI: 1.04–2.64). This association remained significant even after adjusting for health-related variables. Conclusion At the onset of the regularization program, access to regularization was not associated with better self-rated health. Policies aiming at favouring undocumented migrants’ inclusion and engagement in social networks may promote better health. Future research should investigate long-term effects of residence status regularization on self-rated health.


2021 ◽  
pp. 019394592110135
Author(s):  
Sohye Lee ◽  
Catherine Pantik ◽  
Sree Duggirala ◽  
Ruth Lindquist

The purpose of this study was to examine individuals’ knowledge of cardiovascular risk-related biometric numbers and to compare self-reported and investigator-measured numbers in a convenience sample of adults in the Midwest region. Sociodemographic data and personal knowledge of cardiovascular risk-related biometric numbers were assessed using self-reported questionnaires. Investigators conducted health assessments to obtain biometric numbers. Among the 224 participants, participants’ reported knowledge about their cardiovascular risk-related biometric numbers was low, especially for high-density lipoprotein and fasting blood glucose levels. Participants’ knowledge was associated with education level and the recency of their last healthcare visit for health assessment. We found statistically significant mean differences between self-reported and investigator-measured blood pressure, and weight. This study found that there were discrepancies between self-reported and investigator-measured cardiovascular risk-related numbers. Future research is needed to develop educational interventions to improve personal knowledge of cardiovascular risks.


2020 ◽  
pp. 153465012098345
Author(s):  
Mirela Cengher ◽  
Joy C. Clayborne ◽  
Adrianna E. Crouch ◽  
Julia T. O’Connor

Over 60% of children diagnosed with selective mutism are also diagnosed with Autism Spectrum Disorder. Previous research established that behavioral interventions are effective at increasing speech in children with both diagnoses. However, few studies conducted assessments to determine environmental variables that inhibit speech, and such assessments are necessary for the development of effective and efficient treatments. This case study describes an assessment that evaluated the function(s) of selective mutism. The results confirmed that the participant did not talk to avoid social interaction and that mutism occurred primarily in the presence of multiple, unfamiliar people. Our first treatment focused on increasing tolerance for social interaction, demonstrated by an increase in speech production in the presence of unfamiliar people. Our second treatment focused on increasing qualitative aspects of the participant’s speech (i.e., both responses and initiations). Finally, we taught the participant’s parents to implement the treatment in naturalistic settings, and the participant demonstrated generalization of treatment effects across people and settings. Implications for clinical practice and future research are discussed.


2021 ◽  
pp. 109830072110510
Author(s):  
Rhonda N. T. Nese ◽  
Angus Kittelman ◽  
M. Kathleen Strickland-Cohen ◽  
Kent McIntosh

One core feature of Positive Behavioral Interventions and Support (PBIS) is a systems-level teaming process for coordinating staff implementation of evidence-based practices and monitoring student progress across all three tiers. Prior research has shown schools that report regular teaming and team-based data use are more likely to successfully adopt and sustain implementation of multi-tiered systems of behavior support. However, more research is currently needed to better understand the various teaming configurations, structures, and practices commonly used by PBIS teams in typical schools, particularly at advanced tiers. For the current study, members of school and district PBIS teams representing 718 schools were surveyed to better understand (a) teaming configurations and practices currently being used in schools implementing PBIS and (b) common interventions that PBIS teams report implementing at Tiers 2 and 3. Survey findings are discussed, along with implications of those results for future research and practice in applied settings.


2020 ◽  
Vol 49 (12) ◽  
pp. 3764-3782 ◽  
Author(s):  
Cecilia Mondelli ◽  
Gökalp Gözaydın ◽  
Ning Yan ◽  
Javier Pérez-Ramírez

Metal size and speciation strongly impact catalyst efficiency and robustness in biomass upgrading through redox and acid-mediated reactions, with the full potential of single atoms and low-nuclearity species still to be unlocked by future research.


2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Johannes C. Ehrenthal ◽  
Johannes Zimmermann ◽  
Katja Brenk-Franz ◽  
Ulrike Dinger ◽  
Henning Schauenburg ◽  
...  

Abstract Background Attachment insecurity is a prominent risk factor for the development and course of psychiatric and psychosomatic disorders. The Experiences in Close Relationships - Revised (ECR-R) questionnaire is a widely used self-report to assess attachment related anxiety and avoidance. However, its length has the potential to restrict its use in large, multi-instrument studies. The aim of this study was to develop and evaluate a brief version of the ECR-R, and provide norm values for the German population. Methods A screening version of the original ECR-R was developed through principal components analysis of datasets from several previous studies. In a representative sample of 2428 randomly selected individuals from the German population, we compared fit indices of different models by means of confirmatory factor analyses (CFA). We investigated the convergent validity of the screening version in an independent convenience sample of 557 participants. Correlations between the short and the full scale were investigated in a re-analysis of the original German ECR-R evaluation sample. Results CFA indicated a satisfactory model fit for an eight-item version (ECR-RD8). The ECR-RD8 demonstrated adequate reliability. The subscales correlated as expected with another self-report measure of attachment in an independent sample. Individuals with higher levels of attachment anxiety, but especially higher levels of attachment avoidance were significantly more likely to not be in a relationship, across all age groups. Correlations between the short and the full scale were high. Conclusions The ECR-RD8 appears to be a reliable, valid, and economic questionnaire for assessing attachment insecurity. In addition, the reported population-based norm values will help to contextualize future research findings.


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