scholarly journals A 12-Week Electronic Mentoring Employment Preparation Intervention for Youth With Physical Disabilities: Pilot Feasibility Randomized Controlled Trial

10.2196/12088 ◽  
2019 ◽  
Vol 2 (1) ◽  
pp. e12088 ◽  
Author(s):  
Sally Lindsay ◽  
Elaine Cagliostro ◽  
Joanne Leck ◽  
Jennifer Stinson
Keyword(s):  
Randomized Controlled Trial ◽  
Physical Disabilities ◽  
Controlled Trial ◽  
Electronic Mentoring ◽  
Randomized Controlled ◽  
Employment Preparation

scholarly journals A 12-Week Electronic Mentoring Employment Preparation Intervention for Youth With Physical Disabilities: Pilot Feasibility Randomized Controlled Trial (Preprint)

2018 ◽  
Author(s):  
Sally Lindsay ◽  
Elaine Cagliostro ◽  
Joanne Leck ◽  
Jennifer Stinson
Keyword(s):  
Social Support ◽  
Randomized Controlled Trial ◽  
Physical Disabilities ◽  
Controlled Trial ◽  
Intervention Group ◽  
Self Determination ◽  
Control Group ◽  
Electronic Mentoring ◽  
Youth With Disabilities ◽  
Randomized Controlled

BACKGROUND Youth with disabilities are at high risk of unemployment compared with youth without disabilities. They often encounter challenges in accessing vocational programs that meet their needs. One promising approach that could help to address barriers that youth encounter while also enhancing social support is through electronic mentoring (e-mentoring). Although there is an increase in e-mentoring for youth with disabilities, little is known about its impact for youth with physical disabilities. OBJECTIVE This study aimed to assess the acceptability and initial impact of a Web-based peer electronic mentor employment intervention for youth with physical disabilities. METHODS The Empowering Youth Towards Employment intervention was evaluated using a pilot randomized controlled trial (RCT). Youth, aged 15-21 years, with physical disabilities were randomly assigned to an intervention (ie, mentored) or control (ie, not mentored) group. Trained mentors (ie, near peers) with a physical disability led the online discussion forums and provided peer support and resources for 12 modules (1 topic per week over 12 weeks). Primary outcomes focused on self-determination, career maturity, and social support. We also explored program adherence and dosage, participant satisfaction, and areas for improvement. RESULTS A total of 13 youth (mean age 17.3 years, SD 1.88; 54%, 7/13 female) completed the RCT. In the intervention group (n=9), 56% (5/9) of the youth were females, and in the control group (n=4), 50% (2/4) of the youth were female. Participants reported satisfaction with the program and that it was feasible and acceptable. Participants’ mean engagement level with the program was 5.22 (SD 2.48) for the intervention group and 5.40 (SD 4.56) for controls. Participants in the intervention group demonstrated significant improvements in self-determination (t12=2.49; P<.04) compared with the control group. No adverse events were reported. CONCLUSIONS The Empowering Youth Towards Employment is a promising intervention that enhances self-determination among youth with physical disabilities. CLINICALTRIAL ClinicalTrials.gov NCT02522507; https://clinicaltrials.gov/ct2/show/NCT02522507 (Archived by WebCite at http://www.webcitation.org/6uD58Pvjc)

scholarly journals A 4-Week Electronic-Mentoring Employment Intervention for Youth With Physical Disabilities: Pilot Randomized Controlled Trial (Preprint)

2018 ◽  
Author(s):  
Sally Lindsay ◽  
Elaine Cagliostro ◽  
Jennifer Stinson ◽  
Joanne Leck
Keyword(s):  
Social Support ◽  
Physical Disabilities ◽  
Controlled Trial ◽  
Career Maturity ◽  
Self Determination ◽  
Electronic Mentoring ◽  
Youth With Disabilities ◽  
Web Based ◽  
Randomized Controlled ◽  
Pilot Randomized Controlled Trial

BACKGROUND Youth with disabilities are more likely to live in poverty and be unemployed compared with youth without disabilities. Such trends are often a result of a lack of support, inaccessible jobs, environmental barriers, and discriminatory attitudes toward people with disabilities. Youth with disabilities also face barriers in accessing vocational preparation programs. One encouraging way that could help address challenges that youth encounter is by providing support through electronic mentoring (e-mentoring). OBJECTIVE The objective of this study was to assess the feasibility of a 4-week Web-based peer e-mentoring employment intervention for youth with physical disabilities. METHODS We conducted a pilot randomized controlled trial (RCT) to evaluate our intervention, Empowering youth towards employment. Participants included youth aged 15 to 25 years who were randomly assigned to an experimental (mentored) or control (nonmentored) group. Our intervention involved having trained youth mentors (ie, near peers who also had a disability) lead Web-based discussion forums while offering peer support and resources, which involved 12 modules (3 topics a week for 4 weeks). Primary outcomes focused on implementation (ie, feasibility and acceptability), whereas secondary outcomes focused on effectiveness (ie, measures of self-determination, career maturity, and social support). RESULTS A total of 28 youth (mean age 19.62, SD 3.53; 14/28, 50% female) completed the RCT in 3 intervention groups and 2 control groups (intervention n=18, control n=10). Participants reported satisfaction with the program and that it was feasible and acceptable. Youth’s mean engagement level with the program was 6.44 (SD 2.33) for the experimental group and 5.56 (SD 3.53) for controls. Participants in the intervention group did not demonstrate any significant improvements in social support, career maturity, or self-determination compared with those in the control group. No adverse events were reported. CONCLUSIONS The Empowering youth towards employment e-mentoring intervention needs further testing with a larger sample and different length of formats to understand how it may have an impact on employment outcomes for youth with disabilities. CLINICALTRIAL ClinicalTrials.gov NCT02522507; https://clinicaltrials.gov/ct2/show/NCT02522507 (Archived by WebCite at http://www.webcitation.org/77a3T4qrE)

scholarly journals Telehealth Behavioral Intervention for Diabetes Management in Adults With Physical Disabilities: Intervention Fidelity Protocol for a Randomized Controlled Trial

10.2196/31695 ◽  
2021 ◽  
Vol 10 (9) ◽  
pp. e31695
Author(s):  
Ayse Zengul ◽  
Eric Evans ◽  
Allyson Hall ◽  
Haiyan Qu ◽  
Amanda Willig ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Randomized Controlled Trial ◽  
Behavior Change ◽  
Diabetes Management ◽  
Physical Disabilities ◽  
Controlled Trial ◽  
Health Coaching ◽  
Intervention Fidelity ◽  
Randomized Controlled ◽  
People With Physical Disabilities

Background Diabetes mellitus is a major health problem among people with physical disabilities. Health coaching has been proven to be an effective approach in terms of behavioral changes, patient self-efficacy, adherence to treatment, health service use, and health outcomes. Telehealth systems combined with health coaching have the potential to improve the quality of health care by increasing access to services. Treatment fidelity is particularly important for behavior change studies; however, fidelity protocols are inadequately administered and reported in the literature. Objective The aim of this study is to outline all the intervention fidelity strategies and procedures of a telecoaching intervention—artificial intelligence for diabetes management (AI4DM)—which is a randomized controlled trial to evaluate the feasibility, acceptability, and preliminary efficacy of a telehealth platform in adults with type 2 diabetes and permanent impaired mobility. AI4DM aims to create a web-based disability-inclusive diabetes self-management program. We selected the National Institutes of Health Behavior Change Consortium (NIH BCC) fidelity framework to describe strategies to ensure intervention fidelity in our research. Methods We have developed fidelity strategies based on the five fidelity domains outlined by the NIH BCC—focusing on study design, provider training, treatment delivery, treatment receipt, and enactment of treatment skills. The design of the study is grounded in the social cognitive theory and is intended to ensure that both arms would receive the same amount of attention from the intervention. All providers will receive standardized training to deliver consistent health coaching to the participants. The intervention will be delivered through various controlling and monitoring strategies to reduce differences within and between treatment groups. The content and structure of the study are delivered to ensure comprehension and participation among individuals with low health literacy. By constantly reviewing and monitoring participant progress and protocol adherence, we intend to ensure that participants use cognitive and behavioral skills in real-world settings to engage in health behavior. Results Enrollment for AI4DM will begin in October 2021 and end in October 2022. The results of this study will be reported in late 2022. Conclusions Developing and using fidelity protocols in behavior change studies is essential to ensure the internal and external validity of interventions. This study incorporates NIH BCC recommendations into an artificial intelligence embedded telecoaching platform for diabetes management designed for people with physical disabilities. The developed fidelity protocol can provide guidance for other researchers conducting telehealth interventions within behavioral health settings to present more consistent and reproducible research. Trial Registration ClinicalTrials.gov NCT04927377; http://clinicaltrials.gov/ct2/show/NCT04927377. International Registered Report Identifier (IRRID) PRR1-10.2196/31695

scholarly journals Telehealth Behavioral Intervention for Diabetes Management in Adults With Physical Disabilities: Intervention Fidelity Protocol for a Randomized Controlled Trial (Preprint)

2021 ◽  
Author(s):  
Ayse Zengul ◽  
Eric Evans ◽  
Allyson Hall ◽  
Haiyan Qu ◽  
Amanda Willig ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Randomized Controlled Trial ◽  
Behavior Change ◽  
Diabetes Management ◽  
Physical Disabilities ◽  
Controlled Trial ◽  
Health Coaching ◽  
Intervention Fidelity ◽  
Randomized Controlled ◽  
People With Physical Disabilities

BACKGROUND Diabetes mellitus is a major health problem among people with physical disabilities. Health coaching has been proven to be an effective approach in terms of behavioral changes, patient self-efficacy, adherence to treatment, health service use, and health outcomes. Telehealth systems combined with health coaching have the potential to improve the quality of health care by increasing access to services. Treatment fidelity is particularly important for behavior change studies; however, fidelity protocols are inadequately administered and reported in the literature. OBJECTIVE The aim of this study is to outline all the intervention fidelity strategies and procedures of a telecoaching intervention—artificial intelligence for diabetes management (AI4DM)—which is a randomized controlled trial to evaluate the feasibility, acceptability, and preliminary efficacy of a telehealth platform in adults with type 2 diabetes and permanent impaired mobility. AI4DM aims to create a web-based disability-inclusive diabetes self-management program. We selected the National Institutes of Health Behavior Change Consortium (NIH BCC) fidelity framework to describe strategies to ensure intervention fidelity in our research. METHODS We have developed fidelity strategies based on the five fidelity domains outlined by the NIH BCC—focusing on study design, provider training, treatment delivery, treatment receipt, and enactment of treatment skills. The design of the study is grounded in the social cognitive theory and is intended to ensure that both arms would receive the same amount of attention from the intervention. All providers will receive standardized training to deliver consistent health coaching to the participants. The intervention will be delivered through various controlling and monitoring strategies to reduce differences within and between treatment groups. The content and structure of the study are delivered to ensure comprehension and participation among individuals with low health literacy. By constantly reviewing and monitoring participant progress and protocol adherence, we intend to ensure that participants use cognitive and behavioral skills in real-world settings to engage in health behavior. RESULTS Enrollment for AI4DM will begin in October 2021 and end in October 2022. The results of this study will be reported in late 2022. CONCLUSIONS Developing and using fidelity protocols in behavior change studies is essential to ensure the internal and external validity of interventions. This study incorporates NIH BCC recommendations into an artificial intelligence embedded telecoaching platform for diabetes management designed for people with physical disabilities. The developed fidelity protocol can provide guidance for other researchers conducting telehealth interventions within behavioral health settings to present more consistent and reproducible research. CLINICALTRIAL ClinicalTrials.gov NCT04927377; http://clinicaltrials.gov/ct2/show/NCT04927377. INTERNATIONAL REGISTERED REPORT PRR1-10.2196/31695

Treatment Fidelity Procedures for an Aphasia Intervention Within a Randomized Controlled Trial: Design, Feasibility, and Results

2020 ◽  
Vol 29 (1S) ◽  
pp. 412-424
Author(s):  
Elissa L. Conlon ◽  
Emily J. Braun ◽  
Edna M. Babbitt ◽  
Leora R. Cherney
Keyword(s):  
Randomized Controlled Trial ◽  
Controlled Trial ◽  
Treatment Protocol ◽  
Treatment Fidelity ◽  
Protocol Adherence ◽  
Study Condition ◽  
Randomized Controlled ◽  
Aphasia Therapy ◽  
Percent Accuracy ◽  
Over Time

Purpose This study reports on the treatment fidelity procedures implemented during a 5-year randomized controlled trial comparing intensive and distributed comprehensive aphasia therapy. Specifically, the results of 1 treatment, verb network strengthening treatment (VNeST), are examined. Method Eight participants were recruited for each of 7 consecutive cohorts for a total of 56 participants. Participants completed 60 hr of aphasia therapy, including 15 hr of VNeST. Two experienced speech-language pathologists delivered the treatment. To promote treatment fidelity, the study team developed a detailed manual of procedures and fidelity checklists, completed role plays to standardize treatment administration, and video-recorded all treatment sessions for review. To assess protocol adherence during treatment delivery, trained research assistants not involved in the treatment reviewed video recordings of a subset of randomly selected VNeST treatment sessions and completed the fidelity checklists. This process was completed for 32 participants representing 2 early cohorts and 2 later cohorts, which allowed for measurement of protocol adherence over time. Percent accuracy of protocol adherence was calculated across clinicians, cohorts, and study condition (intensive vs. distributed therapy). Results The fidelity procedures were sufficient to promote and verify a high level of adherence to the treatment protocol across clinicians, cohorts, and study condition. Conclusion Treatment fidelity strategies and monitoring are feasible when incorporated into the study design. Treatment fidelity monitoring should be completed at regular intervals during the course of a study to ensure that high levels of protocol adherence are maintained over time and across conditions.

Phonomotor Versus Semantic Feature Analysis Treatment for Anomia in 58 Persons With Aphasia: A Randomized Controlled Trial

2019 ◽  
Vol 62 (12) ◽  
pp. 4464-4482 ◽  
Author(s):  
Diane L. Kendall ◽  
Megan Oelke Moldestad ◽  
Wesley Allen ◽  
Janaki Torrence ◽  
Stephen E. Nadeau
Keyword(s):  
Randomized Controlled Trial ◽  
Response Latency ◽  
Controlled Trial ◽  
Semantic Knowledge ◽  
Semantic Feature ◽  
Feature Analysis ◽  
Group Differences ◽  
Randomized Controlled ◽  
Confrontation Naming ◽  
Semantic Feature Analysis

Purpose The ultimate goal of anomia treatment should be to achieve gains in exemplars trained in the therapy session, as well as generalization to untrained exemplars and contexts. The purpose of this study was to test the efficacy of phonomotor treatment, a treatment focusing on enhancement of phonological sequence knowledge, against semantic feature analysis (SFA), a lexical-semantic therapy that focuses on enhancement of semantic knowledge and is well known and commonly used to treat anomia in aphasia. Method In a between-groups randomized controlled trial, 58 persons with aphasia characterized by anomia and phonological dysfunction were randomized to receive 56–60 hr of intensively delivered treatment over 6 weeks with testing pretreatment, posttreatment, and 3 months posttreatment termination. Results There was no significant between-groups difference on the primary outcome measure (untrained nouns phonologically and semantically unrelated to each treatment) at 3 months posttreatment. Significant within-group immediately posttreatment acquisition effects for confrontation naming and response latency were observed for both groups. Treatment-specific generalization effects for confrontation naming were observed for both groups immediately and 3 months posttreatment; a significant decrease in response latency was observed at both time points for the SFA group only. Finally, significant within-group differences on the Comprehensive Aphasia Test–Disability Questionnaire ( Swinburn, Porter, & Howard, 2004 ) were observed both immediately and 3 months posttreatment for the SFA group, and significant within-group differences on the Functional Outcome Questionnaire ( Glueckauf et al., 2003 ) were found for both treatment groups 3 months posttreatment. Discussion Our results are consistent with those of prior studies that have shown that SFA treatment and phonomotor treatment generalize to untrained words that share features (semantic or phonological sequence, respectively) with the training set. However, they show that there is no significant generalization to untrained words that do not share semantic features or phonological sequence features.

Sign in / Sign up

Export Citation Format

Share Document