Impact of an environment-focused problem-solving and goal setting intervention on self-determination for transition age youth with developmental disabilities

High levels of self-determination are associated with positive adult outcomes for young adults with developmental disabilities. Project TEAM is an intervention that teaches skills related to self-determination. The primary aims of Project TEAM are attainment of activity goals and increase in curriculum-related knowledge. This secondary analysis of a quasi-experimental study with pre and post measures and two non-randomized groups (Project TEAM participants and a “goal-setting only” comparison group) had two aims: (a) to evaluate if participation in Project TEAM is associated with greater increases in self-determination over time compared to participation in a “goal-setting only” condition; and (b) to identify predictors of change in self-determination. ANCOVA and ANCOVA analyses evaluated change in self-determination over time and regression analyses were used to evaluate predictors of changes in self-determination. The results suggest a non-significant pattern of increase in self-determination for all youth over time. Although no significant within or between group differences were identified for youth-reported changes in self-determination, youth who were younger and/or had lower levels of self-determination at baseline had greater increases in self-determination, with initial self-determination contributing significant unique variance to a predictive model. The inclusion of adaptive behavior as a covariate led to the loss of within group effects for parent-reported changes in self-determination. However, adaptive behavior was not significantly associated with or predictive of changes in parent-reported self-determination. We propose that our results reflect a dynamic relationship between personal characteristics, youths’ and parents’ frames of reference, and perceived self-determination

Baseline Assessment of Providers\u27 Perspectives on Integrating Community Health Workers into Primary Care Teams to Improve Diabetes Prevention

• Type 2 Diabetes Mellitus (T2DM) affects 11% of U.S. adults • Additional 35% considered pre-diabetic, at-risk for developing T2DM1 • Bellevue Hospital and the VA NY Harbor Hospital disproportionately affected: 2x the prevalence in the general population, and increasing2 • Only 55% of adults receive recommended preventive services3 • Panel management: each care team is responsible for preventive care, disease management, and acute care of a patient panel • Community health worker (CHW): non-clinical frontline public health professional trained in behavioral counseling, care follow-up, program referrals, and health education4-8 • Come from the community that they serve, so they can offer ongoing social support, key to successful behavior change9-12 • CHW interventions have been shown to improve diabetes outcomes and progression to diabetes13 • Lack of literature on integrating CHWs on a larger scale into a clinical care team • CHORD study: Community Health Outreach to Reduce Diabetes • Randomized controlled intervention trial to assess the efficacy of integrating CHWs into primary care teams at Bellevue and the VA to prevent T2DM in pre-diabetic patients • Present study is a baseline assessment in preparation for the CHORD studyhttps://jdc.jefferson.edu/cwicposters/1036/thumbnail.jp

Machina ex deos. Successes and challenges of implementing mobile computing technologies for development. The experience of nine Indian village health projects using a project-issued mobile application

As mobile computing technologies become increasingly functional and affordable, global donor and local development organizations find ways to justify and fund their use in grassroots development work. This dissertation asks two questions: (1) In resource-constrained social sector settings, what project features govern and structure use of work-issued mobile devices? And: (2) How do decision-makers adjust to maximize the benefit of newly-introduced devices while minimizing new burdens to the project and project staff? More simply, what variables under social sector projects’ control might promote successful use of information and communication technologies in development (ICTD) projects? This research represents systematic, qualitative comparison of nine extended deployments of a popular mobile health application, CommCare. Each studied project deployed devices loaded with CommCare to health workers in India as a supportive job aid and/or a data collection tool to help monitor beneficiary populations’ health status and frontline workers’ work. This dissertation examines the conditions under which these health workers were able and willing to use CommCare devices in their jobs, and whether and how they deviated from the use of those devices prescribed by their supervisors. Primary data for this study come from 62 in-depth, semi-structured interviews, extensive review of project documents, and personal observations from field study in India over six months in 2013. Employing a sociotechnical lens and a principal agent model, my data support expectations that use of CommCare devices would help align community health workers’ behavior with their supervisors’ organization and mission-related priorities. Use of the devices improved health workers’ professional competence and improved communications, data quality, and data access. These improvements facilitated project supervisors’ monitoring of health workers and beneficiaries, and funders’ monitoring of projects. Contradicting expectations, use of CommCare devices also weakened organizational oversight and control through new data challenges and increased health worker autonomy in their personal and professional lives. These dual benefits and challenges ultimately served the overall projects’ missions.Public Affair

Broadband nanodielectric spectroscopy by means of amplitude modulation electrostatic force microscopy (AM-EFM)

In this work we present a new AFM based approach to measure the local dielectric response of polymer films at the nanoscale by means of Amplitude Modulation Electrostatic Force Microscopy (AM-EFM). The proposed experimental method is based on the measurement of the tip–sample force via the detection of the second harmonic component of the photosensor signal by means of a lock-in amplifier. This approach allows reaching unprecedented broad frequency range (2–3×104 Hz) without restrictions on the sample environment. The method was tested on different poly(vinyl acetate) (PVAc) films at several temperatures. Simple analytical models for describing the electric tip–sample interaction semi-quantitatively account for the dependence of the measured local dielectric response on samples with different thicknesses and at several tip–sample distances

Nanodielectric mapping of a model polystyrene-poly(vinyl acetate) blend by electrostatic force microscopy

We present a simple method to quantitatively image the dielectric permittivity of soft materials at nanoscale using electrostatic force microscopy (EFM) by means of the double pass method. The EFM experiments are based on the measurement of the frequency shifts of the oscillating tip biased at two different voltages. A numerical treatment based on the equivalent charge method allows extracting the values of the dielectric permittivity at each image point. This method can be applied with no restrictions of film thickness and tip radius. This method has been applied to image the morphology and the nanodielectric properties of a model polymer blend of polystyrene and poly(vinyl acetate)

Nanoscale dielectric properties of insulating thin films: From single point measurements to quantitative images

Dielectric relaxation (DR) has shown to be a very useful technique to study dielectric materials like polymers and other glass formers, giving valuable information about the molecular dynamics of the system at different length and time scales. However, the standard DR techniques have a fundamental limitation: they have no spatial resolution. This is of course not a problem when homogeneous and non-structured systems are analyzed but it becomes an important limitation for studying the local properties of heterogeneous and/or nano-structured materials. To overcome this constrain we have developed a novel approach that allows quantitatively measuring the local dielectric permittivity of thin films at the nanoscale by means of Electrostatic Force Microscopy. The proposed experimental method is based on the detection of the local electric force gradient at different values of the tip-sample distance. The value of the dielectric permittivity is then calculated by fitting the experimental points using the Equivalent Charge Method. Even more interesting, we show how this approach can be extended in order to obtain quantitative dielectric images of insulating thin films with an excellent lateral resolution

"Presuming competence and assuming that accommodations will be the inroads to access and participation": factors facilitating inclusive research and peer mentoring as opportunities for social inclusion for people with intellectual/developmental disabilities

People with intellectual/developmental disabilities experience exclusion from social spaces. In this dissertation, I address social inclusion in: a) research and b) peer relationships in the context of mental health services. To address inclusion in research, we conducted key informant interviews with academic researchers (n = 8) and co-researchers with intellectual disability (n = 6) who have expertise in inclusive research (study 1). Using principles of grounded theory we analyzed the data and developed a conceptual model describing the contextual factors and team-level factors that coalesce to foster and maintain inclusive research collaborations. We found that team members’ values and characteristics influence inclusive research collaborations and drive a commitment to accessibility. Additionally, perceived personal and societal benefits contribute to co-researcher involvement. Contextual factors, including funding and partnership duration, influence teams’ processes and structures. These processes and structures influence the extent to which co-researchers perceive the inclusive research team to be co-facilitated or academic-facilitated. This model describes how contextual and team-level factors and processes may be optimized to support co-researcher engagement in inclusive research. To address peer relationships in the context of mental health services, I used a stakeholder-driven approach to develop a peer mentoring intervention for young adults with intellectual/developmental disabilities and co-occurring mental health conditions (study 2). This approach included partnership with 3 young adults with intellectual/developmental disabilities and co-occurring mental health conditions and a 7 member advisory board composed of self-advocates and professionals. In addition, I conducted focus groups with mental health clinicians (n = 10), peer support specialists (n = 9), and transition specialists (n = 20) to identify the desired peer mentoring outcome and intervention components and content that may facilitate these outcomes. The focus group participants identified several relationship-driven and outcome-driven actions peer mentors may use to support outcome achievement. Stakeholders also identified five components relevant to the intervention: safety considerations, mentor matching, degree of intervention structure, mentor training and support, and collaboration with mentees’ support teams. These findings draw attention to the importance of social relationships and individualization of both mentoring and supports for mentors. Together, these two studies highlight the importance of valuing the unique strengths of people with disabilities and the need for task and environmental adaptations to foster social inclusion of people with intellectual/developmental disabilities.2021-06-18T00:00:00

Alignment Metric Accuracy

We propose a metric for the space of multiple sequence alignments that can be used to compare two alignments to each other. In the case where one of the alignments is a reference alignment, the resulting accuracy measure improves upon previous approaches, and provides a balanced assessment of the fidelity of both matches and gaps. Furthermore, in the case where a reference alignment is not available, we provide empirical evidence that the distance from an alignment produced by one program to predicted alignments from other programs can be used as a control for multiple alignment experiments. In particular, we show that low accuracy alignments can be effectively identified and discarded. We also show that in the case of pairwise sequence alignment, it is possible to find an alignment that maximizes the expected value of our accuracy measure. Unlike previous approaches based on expected accuracy alignment that tend to maximize sensitivity at the expense of specificity, our method is able to identify unalignable sequence, thereby increasing overall accuracy. In addition, the algorithm allows for control of the sensitivity/specificity tradeoff via the adjustment of a single parameter. These results are confirmed with simulation studies that show that unalignable regions can be distinguished from homologous, conserved sequences. Finally, we propose an extension of the pairwise alignment method to multiple alignment. Our method, which we call AMAP, outperforms existing protein sequence multiple alignment programs on benchmark datasets. A webserver and software downloads are available at http://bio.math.berkeley.edu/amap/