Administration and Policy in Mental Health and Mental Health Services Research最新文献

Health information exchange (HIE) is an effective way to coordinate care, but HIE between health and behavioral health providers is limited. Recent delivery reform models, including the Accountable Care Organization (ACO) and Patient Centered Medical Home (PCMH) prioritize interprofessional collaboration, but little is known about their impact on behavioral health HIE. This study explores whether delivery reform participation affects behavioral health HIE among ambulatory health providers using pooled 2015–2019 data from the National Electronic Health Record Survey, a nationally representative survey of ambulatory physicians’ technology use (n = 8,703). The independent variable in this analysis was provider participation in ACO, PCMH, Hybrid ACO-PCMH, or standard care. The dependent variable was HIE with behavioral health providers. Chi square analysis estimated unweighted rates of behavioral health HIE across reform models. Logistic regression estimated the impact of delivery reform participation on rates of behavioral health HIE. Unweighted estimates indicated that Hybrid ACO-PCMH providers had the highest rates of HIE (n = 330, 33%). In the fully adjust model, rates of HIE were higher among ACO (AOR = 2.66, p < .01), PCMH (AOR = 4.73, p < .001) and Hybrid ACO-PCMH participants (AOR = 5.55, p < .001) compared to standard care, but they did not significantly vary between delivery models. Physicians infrequently engage in HIE with behavioral health providers. Compared to standard care, higher rates of HIE were found across all models of delivery reform. More work is needed to identify common elements of delivery reform models that are most effective in supporting this behavior

Previous studies have shown that therapists’ performance varies, known as therapist effects, and have indicated that therapists who excel in one treatment outcome may not necessarily be effective in other outcomes. This observational naturalistic study aimed to enhance our understanding of therapist effects and the assessment of therapists’ performance in different areas. The study included 68 therapists and 5,582 clients from a large mental health facility. Information about their learning activities was available for a subsample of 49 therapists. Separate multilevel analyses were conducted for treatment outcomes, including case mix-corrected OQ-45 change scores, dropout rates, referrals to other facilities, treatment duration, and client satisfaction ratings. A hierarchical cluster analysis was performed to identify groups of therapists based on their performance across various treatment outcomes. Additionally, differences in therapist characteristics among the clusters identified were examined. Therapist effects varied across different outcomes, ranging from small (2.6% for OQ-45 change) to moderate (6.5% for number of sessions). The cluster analysis revealed four distinct clusters of therapists with specific profiles. They had performance differences in certain areas but not in others. This exploratory study supports the notion that therapists exhibit diverse profiles regarding treatment outcomes. These findings are significant for future investigations of therapist effects that aim to identify the characteristics of effective therapists and in the context of personalizing treatment for clients.

There are two dominant approaches to implementing permanent supportive housing (PSH), namely place-based (PB) and scattered-site (SS). Formal guidance does not distinguish between these two models and only specifies that PSH should be reserved for those who are most vulnerable with complex health needs. To consider both system- and self-selection factors that may affect housing assignment, this study applied the Gelberg-Anderson behavioral model for vulnerable populations to compare predisposing, enabling, and need factors among people experiencing homelessness (PE) by whether they were assigned to PB-PSH (n = 272) or SS-PSH (n = 185) in Los Angeles County during the COVID-19 pandemic. This exploratory, observational study also included those who were approved but did not receive PSH (n = 94). Results show that there are notable differences between (a) those who received PSH versus those who did not, and (b) those in PB-PSH versus SS-PSH. Specifically, PEH who received PSH were more likely to be white, US-born, have any physical health condition, and have lower health activation scores. PEH who received PB- versus SS-PSH were more likely to be older, Black, have any alcohol use disorder, and have higher health activation scores. These findings suggest that homeless service systems may consider PB-PSH more appropriate for PEH with higher needs but also raises important questions about how race may be a factor in the type of PSH that PEH receive and whether PSH is received at all.

Objective and Aim

This study aimed to assess the impact of switching from face-to-face (f2f) psychotherapy to video therapy (VT) due to the COVID-19 pandemic on in-session processes, i.e., the therapeutic alliance, coping skills, and emotional involvement, as rated by both patients and therapists.

Methods

A total of N = 454 patients with mood or anxiety disorders were examined. The intervention group (IG) consisted of n = 227 patient-therapist dyads, who switched from f2f to VT, while the control group (CG) consisted of n = 227 patient-therapist dyads, who were treated f2f before the pandemic. To evaluate the effects of switching to VT on in-session processes, three longitudinal piecewise multilevel models, one per process variable, were fitted. Each process variable was regressed on the session number with a slope for the three sessions before switching to VT and a second slope for up to six VT sessions afterwards.

Results

The therapeutic alliance significantly increased after switching from f2f to VT across the two groups (IG and CG) and raters (patients and therapists) with no differences between IG and CG. On average, patients rated the therapeutic alliance better than therapists. Coping skills significantly increased after switching from f2f to VT across the two groups and raters, but the CG rated coping skills higher than the IG after the switch. Overall, therapists rated coping skills higher than patients. Emotional involvement did not significantly increase after switching to VT across the two groups and raters and there was no significant difference between patient and therapist ratings.

Discussion

In conclusion, the switch to VT had no negative impact on the therapeutic alliance and emotional involvement. However, more coping skills were reported in the CG than in the IG after the switch to VT, which was mainly due to a stagnation in patient-rated coping skills in the IG.

Our objective is to implement a single-case experimental design (SCED) infrastructure in combination with experience-sampling methods (ESM) into the standard diagnostic procedure of a German outpatient research and training clinic. Building on the idea of routine outcome monitoring, the SCED infrastructure introduces intensive longitudinal data collection, individual effectiveness measures, and the opportunity for systematic manipulation to push personalization efforts further. It aims to empower psychotherapists and patients to evaluate their own treatment (idiographic perspective) and to enable researchers to analyze open questions of personalized psychotherapy (nomothetic perspective). Organized around the principles of agile research, we plan to develop, implement, and evaluate the SCED infrastructure in six successive studies with continuous stakeholder involvement: In the project development phase, the business model for the SCED infrastructure is developed that describes its vision in consideration of the context (Study 1). Also, the infrastructure's prototype is specified, encompassing the SCED procedure, ESM protocol, and ESM survey (Study 2 and 3). During the optimization phase, feasibility and acceptability are tested and the infrastructure is adapted accordingly (Study 4). The evaluation phase includes a pilot implementation study to assess implementation outcomes (Study 5), followed by actual implementation using a within-institution A-B design (Study 6). The sustainability phase involves continuous monitoring and improvement. We discuss to what extent the generated data could be used to address current questions of personalized psychotherapy research. Anticipated barriers and limitations during the implementation processes are outlined.

Part C Early Intervention (EI) systems are an entry point to services for autistic toddlers and can be leveraged to facilitate access to autism evidence-based practices (EBPs). However, EI systems are complex and limited research has examined how an EI system’s infrastructure (i.e. system-level factors) impacts the adoption and implementation of EBPs. To address this gap, 36 EI providers and 9 EI administrators completed a semi-structured interview or focus group about factors impacting the implementation of autism EBPs. Qualitative analysis included a combination of grounded theory and causative coding. Analyses were refined by input from providers, administrators, and family stakeholders in the form of round tables and presentations at the state’s interagency coordinating council. Primary themes centered on: (1) the costs associated with independent contracting structures; (2) operational demands; (3) workforce stability; (4) communication consistency; and (5) implementation supports for EBP implementation. Causative coding helped to demonstrate the perceived relationships between these factors and underscored the important role of incentivization structures, collaboration opportunities, and championing in supporting the use of EBPs within a system that primarily uses independent contracting structures. The current study extends previous research by demonstrating how several system-level factors are perceived to play a role in the adoption and implementation of EBPs by independently contracted EI providers. These findings underscore the need for implementation strategies, such as incentivization strategies and social network building, to increase providers’ implementation of autism EBPs within EI systems.