Practice innovations (Washington, D.C.)最新文献

This study aimed to characterize the needs and preferences for digital health of individuals waitlisted for services. 135 people who sought mental health services in the past year and who were not receiving the service they sought completed questionnaires assessing their experiences during this period as well as their preferences related to digital interventions. Participants had sought services on average nearly eight months prior to completing the survey (M = 7.74 months, SD = 8.51). most commonly for anxiety (N = 118, 87.4%) and depression (N = 101, 74.8%). Relative to the date they first sought services, participants reported reduced interest (d = -0.45) and motivation to engage (d = -0.43) in treatment, as well as reduced conviction in the belief that they would get better (d = -0.23) or that treatment would help (d = -0.30), although they also reported reduced symptom distress (d = -0.39). Very few (8%) reported satisfaction with the materials they were given by providers when seeking services. Participants reported high interest in a digital tool providing information about therapies (94.7% reporting moderate or greater interest), mental illnesses (87.4%), and places to find treatment (91.1%), as well as one that would provide interactive cognitive practices (85.2%) and strategies to improve sleep (85.8%). Over half of all participants reported that a mobile app would be their first choice for mode of delivery. This study highlights the need for and potential of digital tools optimized for waitlisted individuals, particularly interactive and informational resources provided through mobile devices.

Neurofeedback has been utilized to treat a variety of mental health issues by influencing brainwave patterns using auditory and/or visual feedback. Despite a plethora of research, there is a significant gap regarding why neurofeedback is not more commonly utilized in mental health care practice. This study sought to address this gap by posing the question: What factors are associated with psychotherapists' self-reported interest in adopting neurofeedback into their current practice? This study utilized the Consolidated Framework for Implementation Research to explore factors associated with outpatient psychotherapists' interest in implementing neurofeedback in their practices. The primary variables of interest were years in practice, cost as the main barrier to implementation, and type of practice setting. Surveys were completed online by licensed psychotherapists (N = 500). A logistic regression analysis found that, compared to those practicing in a solo private practice, psychotherapists practicing in community mental health clinics/agencies (adjusted OR: 1.77, 95% confidence interval, CI, [0.99, 3.15], p = .0524) and other outpatient settings (adjusted OR: 1.81, 95% CI [0.95, 3.44], p = .0708) had higher odds of being interested in neurofeedback. Finally, compared to those who did not believe that neurofeedback would be welcome in their practice setting or were unsure, those who reported believing neurofeedback would be welcome (adjusted OR: 3.38, 95% CI [2.18, 5.26], p < .0001) had much higher odds of being interested in neurofeedback. This study found that inner setting factors had the most significant association with psychotherapists' interest in implementing neurofeedback. These findings point to potential areas of focus to increase the uptake of neurofeedback in mental health care settings.