View clinical trials related to Engagement, Patient.
Filter by:The purpose of this pilot study is to preliminary examine the impact of a design mechanism aimed at increasing engagement in an unguided digital parent training program for child's behavior problems. Parents will be enrolled into one of two digital parent training intervention arms, dedifferentiated by their level of correspondence with the related deign mechanism.
This study will compare a 12-session behavioral activation (BA) intervention modified for first-episode psychosis (FEP) to usual community mental health care (i.e., treatment-as-usual; TAU) delivered over 6 months with a sample of Latinos with FEP and their families. Comparable family group sessions will also be delivered to participants in both conditions. It is expected that BA participants will show better engagement than TAU participants.
This implementation study will be conducted to test a Socially-Assistive Robot (SAR) system for residents in an Assisted Living environment. The goal of the SAR system is to enhance social engagement and connectedness. The system engages residents via robot-facilitated activities such as trivia and reminder and is integrated with the SimpleC Wellness Platform.
The overarching goals of this project are to provide the first rigorous test of a scalable and publicly accessible mobile health intervention (IntelliCare) to address emotional distress in women with breast cancer, and to test the impact of human coaching as a way to increase engagement with digital health interventions to improve outcomes. To achieve these goals, an innovative experimental study design, known as a Sequential, Multiple Assignment, Randomized Trial (SMART), will be used to test the effects of the IntelliCare apps on symptoms of depression and anxiety, as well as the added value of human support to improve participant engagement. 313 breast cancer survivors diagnosed within the past 5 years and who screen positive for elevated symptoms of depression and/or anxiety will be recruited. Participants will initially be randomized to receive the IntelliCare apps or app-delivered patient education (control) for 8 weeks, and the impact of the IntelliCare apps on reducing symptoms of depression and anxiety in breast cancer survivors relative to control will be tested (Aim 1). We will monitor the app usage data of participants who receive the IntelliCare apps. Those who are high-engagers will continue to use the apps with no change. Those who are low-to-moderate engagers will be rerandomized after 1 week to either receive added coaching vs. not (i.e., no change) in addition to the apps. The hypothesis is that added coaching to address barriers to app usage will lead to greater engagement with the apps (Aim 2), for low-to-moderate engagers. Finally, semi-structured exit interviews will be conducted with participants that receive the IntelliCare apps and coaching. Interviews will capture survivors' perceptions about the extent to which, and how, tailoring the apps and coaching specifically for breast cancer survivors may improve intervention outcomes and engagement (Aim 3).
This proposal is a partnership between Mental Health America (MHA), a nonprofit mental health advocacy and resource organization, Talkspace (TS), a for-profit, online digital psychotherapy organization, and the University of Washington's Schools of Medicine and Computer Science Engineering (UW). The purpose of this partnership is to create a digital mental health research platform leveraging MHA and TS's marketing platforms and consumer base to describe the characteristics of optimal engagement with digital mental health treatment, and to identify effective, personalized methods to enhance motivation to engage in digital mental health treatment in order to improve mental health outcomes. These aims will be met by identifying and following at least 100,000 MHA and TS consumers over the next 4 years, apply machine learning approaches to characterizing client engagement subtypes, and apply micro-randomized trials to study the effectiveness of motivational enhancement strategies and response to digital mental health treatment.
Previous research has shown that YouTube is a poor source of high-quality medical information. This is likely because there is no regulation of the content on YouTube and relatively little of the content is posted by qualified medical professionals. It is known that up to 30% of patients use the internet to research the procedure they will be having and given the increasing popularity of YouTube we suspect many patients are using YouTube or similar sites as a source of information prior to elective surgery. There are likely a number of patient factors that contribute to patients seeking out videos as a source of pre-operative medical information. Patient age, which is generally inversely correlated to computer literacy, may have a role. Patient anxiety and pre-operative worrying may cause a patient to turn to the internet to search for information, and the poor overall quality of the content available may worsen pre-operative anxiety. The primary objective of this study is to determine if providing patients with a reliable, high-quality video about their condition and operation prior to surgery reduces pre-operative anxiety. Secondary aims are to determine the percentage of patients that independently seek out videos online as a source of medical information prior to elective hand surgery, identify patient attributes that are associated with this behavior, and understand if introducing high quality pre-surgical videos has an impact on post-operative patient outcomes and/or patient engagement. The investigators hypothesize that providing patients with high-quality pre-operative videos will reduce pre-operative anxiety. Its is also expected that patients who seek out videos on their own for pre-operative medical information will be younger and have higher anxiety levels and pain catastrophizing scores. Additionally, the investigators hypothesize that patients who watch high-quality pre-operative videos may have better short term post-operative outcomes and greater engagement in their care than their counterparts that did not watch videos or who sought out videos on their own.
Unused clinic visits due to patient no-shows continue to plague American healthcare as a large source of waste and avoidable constraint on access. The average no-show rate across 105 studies was 23% though with wide variation (4% to 79%). No-show behavior has adverse effects on patients, providers, and healthcare organizations' operational and financial outcomes. Patients that miss clinic visits are more likely to need acute care and suffer poor health outcomes. There have been increasingly sophisticated efforts focused on predicting which patients are likely to no-show. This can allow for tactful over-booking and/or patient outreach. At Hopkins, investigators have implemented a novel machine learning based approach for identifying those patients at high-risk for no-show. Offering home visits for patients who are most likely to no-show is an appealing strategy to connect medical providers with patients who need care but are otherwise unlikely to receive it. Yet, it is unclear if this would be helpful to engage patients in their care, and encourage subsequent attendance, or if it would encourage future missed appointments, fostering a reliance on possible ongoing home visits. This study would link existing efforts with no-show prediction to home visits by internal medicine residents and evaluate its clinical impact. Patients at high-risk for no-show will be randomized into the control arm where patients will be called to remind patients of their visits. Those randomized into the intervention arm will be offered a one time home visit in lieu of their in-person visit to help understand barriers to in-person care and build rapport. Outcomes evaluated include future in-person show rates and healthcare cost/utilization
"Health care legislation, management and administration" is a basic subject offered in the physical therapy university degree. The juridical features of this subject usually provokes a lack of motivation between students. Although not commonly used in university teaching, gamification could provide further affordances for improving students' engagement which provokes better assistance and learning outcomes.
This cluster-randomized controlled trial (c-RCT) evaluates the effectiveness of a brief, single-session psychosocial workshop, "CETA Short Session" (CSS), for reducing symptoms of distress and functional impairment and increasing treatment engagement among conflict veterans and their families in Ukraine. The CSS workshop includes psychoeducation, review of a self-assessment, safety screening, and training in cognitive coping. This will be evaluated against a single-session comparison workshop that includes all of the same workshop elements except for cognitive coping. Registration for both conditions includes completion of a self-assessment. Participants with safety concerns or very severe symptoms will be immediately referred to mental health treatment; others will be asked to wait for one month before being reassessed and, if indicated, referred to mental health treatment. Both conditions include an individual check-in phone call one week after the workshop. Distress and functional impairment outcomes will be assessed one month from baseline. Treatment engagement outcomes will be assessed three months from referral. The investigators hypothesize that individuals attending sessions randomized to CSS will show greater improvement in mental health outcomes and greater treatment engagement than those attending sessions randomized to the comparison condition. With the onset of the COVID-19 pandemic in Spring 2019, the RCT was paused to develop and pilot an online version of both the CSS and comparison workshop. The trial protocol has now been expanded to continue the effectiveness trial while allowing for both online and [when/if feasible] in-person intervention delivery.
Stroke is the 5th leading cause of death and the leading cause of adult disability in the United States (US). Stroke is a complex disease with multiple interacting risk factors (including genetic, high blood pressure and cholesterol, and lifestyle factors like smoking, diet, and exercise) that lead to initial and recurrent stroke. Up to 90% of stroke survivors have some functional deficit that impacts both physical and mental health. Scientific evidence that identifies the best stroke care delivery design is lacking. We completed a three-year, Centers for Medicare & Medicaid Services (CMS) Health Care Innovation Award that tested a new stroke care design called an Integrated Practice Unit (IPU). This IPU was developed through stakeholder input from patients, caregivers, nurses, stroke specialists, rehabilitation specialists, patient advocacy groups, payers, and technology companies. This IPU design was associated with decreased hospital length of stay, readmissions, and stroke recurrence, as well as lower cost. Based on the CMS study, a larger, pragmatic trial was developed that is called C3FIT (Coordinated, Collaborative, Comprehensive, Family-based, Integrated, and Technology-enabled Stroke Care). C3FIT will randomly assign 18 US hospital sites to continue Joint Commission-certified Comprehensive/Primary (CSC/PSC) design or to the novel Integrated Stroke Practice Unit (ISPU) design for stroke care. C3FIT's ISPU uses team-based, enhanced collaboration (called Stroke Central) and follows patients from presentation at the Emergency Department (ED) through 12-months post-discharge (called Stroke Mobile). Stroke Mobile includes a nurse and lay health educator team who visit patients and caregivers at home or at a rehabilitation or skilled nursing facility to assess function and quality of life using telehealth technology to facilitate access to multiple providers. Results from C3FIT will provide high quality scientific evidence to determine the best stroke care design that ensures positive health for patients and caregivers.