Design of a Payment Decision-Support Tool for Coordinated Specialty Care for Early Psychosis.
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ABSTRACT:
SUBMITTER: Bao Y
PROVIDER: S-EPMC8317229 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:OBJECTIVE:The RAISE (Recovery After an Initial Schizophrenia Episode) Connection Program Implementation and Evaluation Study developed tools necessary to implement and disseminate an innovative team-based intervention designed to promote engagement and treatment participation, foster recovery, and minimize disability among individuals experiencing early psychosis. This article describes the treatment model and reports on service utilization and outcomes. It was hypothesized that individuals' symptoms and functioning would improve over time. METHODS:A total of 65 individuals in RAISE Connection Program treatment across two sites (Baltimore and New York City) were enrolled and received services for up to two years. Primary outcomes, including social and occupational functioning and symptoms, were evaluated. Trajectories for individuals' outcomes over time were examined with linear and quadratic mixed-effects models with repeated measures. RESULTS:Measures of occupational and social functioning improved significantly over time, symptoms declined, and rates of remission improved. Visits were most frequent during the first three months, with a mean±SD of 23.2±11.5 unduplicated staff encounters per quarter. Such encounters decreased to 8.8±5.2 in the final quarter of year 2. CONCLUSIONS:The overall project was successful in that the treatment program was delivered and tools useful to other clinical settings were produced. The strengths of this study lie in the demonstrated feasibility of delivering the coordinated specialty care model and the associated high rates of engagement among individuals who are typically difficult to engage in treatment. Notwithstanding the lack of a built-in comparison group, participant outcomes were promising, with improvements comparable to those seen with other successful interventions.
| S-EPMC5637730 | biostudies-literature
Project description:In this grant report, we describe our project to expand measurement-based psychiatric care across 6 early psychosis treatment teams in Minnesota, and to provide a neuroscience-informed cognitive training and motivation enhancement program for individuals with early psychosis. This project is part of the NIMH Early Psychosis Intervention Network (EPINET) initiative which seeks to link data from treatment centers nationally that offer evidence-based specialty care to persons experiencing early psychosis. Systematic analyses of pooled data collected in EPINET will help inform methods for early psychosis care, psychosis risk factors, and pre-emptive interventions. As part of the national EPINET, our hub (Early Psychosis Intervention-Minnesota, EPI-MINN), will: (1) provide measurement-based care in coordinated specialty care programs for early psychosis, (2) determine whether a structured feedback report provides benefit to stakeholders-service users, family members, and primary clinicians, and (3) explore whether deficits in cognition and motivated behavior-two domains that significantly impact functioning and overall quality of life in early psychosis-can be addressed as key treatment goals by implementing a 12-week mobile intervention. Using a regression discontinuity design, participants will be randomized to the cognitive training and motivational enhancement intervention or to treatment as usual. The intervention consists of neuroscience-informed, computerized auditory and social cognitive training exercises, as well as a mobile app where participants interact with each other and with a motivational coach. Participants will complete assessments at 4 time points: baseline and post-intervention (i.e., at 6 months), and again at 12 and 18 months to test the long-term effects of the intervention. All assessments and interventions in this project can be completed entirely remotely.
| S-EPMC7891550 | biostudies-literature
Project description:ImportanceIn coordinated specialty care (CSC) settings for people with a first episode of psychosis, the development of reliable, validated individual-level prediction tools for key outcomes may be informative for shared clinician and client decision-making.ObjectiveTo develop an individual-level prediction tool using machine-learning methods that predicts a trajectory of education/work status or psychiatric hospitalization outcomes over a client's next year of quarterly follow-up assessments. Additionally, to visualize these predictions in a way that is informative to clinicians and clients.Design, setting, and participantsIndividual-level data were collected for all patients enrolled in the OnTrackNY program at enrollment and at quarterly follow-ups using standardized forms. The OnTrackNY program, a network of CSC sites in New York State, provides person-centered, recovery-oriented, and evidence-based psychosocial and pharmaceutical interventions to individuals aged 16 to 30 years with recent-onset (<2 years) nonaffective psychosis. Although data collection is ongoing, data for this study were collected from October 2013 to December 2018, and the time frame for analysis was July 2020 to May 2021. Data were separated into a training/cross-validation set to perform internally validated model development and a separate holdout test set (~20% of the sample) for external validation. Random probability forest models were developed to predict individual-level trajectories of outcomes.ExposuresForty-three individual-level demographic and clinical features collected at enrollment in OnTrackNY, 25 of which were time-varying and updated at quarterly follow-up assessments, and 13 site-level demographic and economic census variables.Main outcomes and measuresIndividual-level education and/or employment status and psychiatric hospitalization trajectories at quarterly follow-up periods across the first 2 years of CSC.ResultsThe total study sample consists of 1298 individuals aged 16 to 30 years and included 341 women (26.3%), 949 men (73.1%), and 8 (<1%) with another gender. Prediction models performed well for 1-year trajectories of education/work across all validation sets, with areas under the receiver operating characteristic curve (AUCs) ranging from 0.68 (95% CI, 0.63-0.74) to 0.88 (95% CI, 0.81-0.96). Predictive accuracy for psychiatric hospitalization 3 months ahead reached AUC above 0.70; moreover, predictions of future psychiatric hospitalizations at 6 months and beyond were consistently poor, with AUCs below 0.60. Given the good externally validated performance for predicting education/work, a prototype interactive visualization tool displaying individual-level education/work trajectories and related features was developed.Conclusions and relevanceThis study suggests that accurate prediction tools can be developed for outcomes in people with first-episode psychosis, which may help inform shared clinician/client decision-making. Future work should study the effectiveness of its deployment, including proper communication to inform shared clinician/client decision-making in the context of a learning health care system. At present, more work is needed to develop better performing prediction models for future psychiatric hospitalizations before any tool is recommended for this outcome.
| S-EPMC9631229 | biostudies-literature
Project description:BACKGROUND:Demand for mental health services, especially for clinical high-risk and early psychosis, has increased, creating a need for new solutions to increase access to and quality of care. Smartphones and mobile technology are potential tools to support coordinated specialty care for early psychosis, given their potential to augment the six core roles of care: case management and team leadership, recovery-oriented psychotherapy, medication management, support for employment and education, coordination with primary care services, and family education and support. However, the services smartphones are actually offering specifically for coordinated specialty care and the level of evidence are unknown. OBJECTIVE:This study aimed to review the published literature on smartphone technology to enhance care for patients with prodromal and early course psychosis and schizophrenia and to analyze studies by type, aligned with coordinated specialty care domains. METHODS:A systematic literature search was conducted on August 16 and 17, 2019, using the PubMed, EMBASE, Web of Sciences, and PsycINFO electronic databases. The eligible studies were reviewed and screened based on inclusion and exclusion criteria. RESULTS:The search uncovered 388 unique results, of which 32 articles met the initial inclusion criteria; 21 eligible studies on 16 unique app platforms were identified. Feasibility studies showed a high user engagement and interest among patients, monitoring studies demonstrated a correlation between app assessments and clinical outcomes, and intervention studies indicated that these apps have the potential to advance care. Eighteen studies reported on app use for the case management roles of coordinated specialty care. No app studies focused on employment and education, coordination with primary care services, and family education and support. CONCLUSIONS:Although the published literature on smartphone apps for prodromal and first-episode psychosis is small, it is growing exponentially and holds promise to augment both monitoring and interventions. Although the research results and protocols for app studies are not well aligned with all coordinated specialty care roles today, high rates of adoption and feasibility suggest the potential for future efforts. These results will be used to develop coordinated specialty care-specific app evaluation scales and toolkits.
| S-EPMC6880233 | biostudies-literature
Project description:AimMethods to identify and harness individual cognitive strengths while addressing relative weaknesses have the potential to complement recovery services for first-episode psychosis but systematic implementation is needed. We developed a cognitive health toolkit, trained teams from OnTrackNY, a network of coordinated specialty care (CSC) programs and examined toolkit feasibility and clinical utility during the first year of roll-out.MethodsThe toolkit includes a clinician manual, assessment and decision-making tools, and a menu of cognitive health service options. Assessment uses the WRAT5-Reading subtest and a new Self-Assessment of Cognitive Functioning which, together, determine participant- and clinician-perceived cognitive health need. Program-level data were analysed for rates of assessment, identification of cognitive health needs and cognitive health service provision.ResultsData from 18 OnTrackNY teams included 933 participants, including 310 new admissions. Across teams, 43.9% of newly admitted participants received a WRAT5-Reading and 41.3% received a self-assessment. Of all assessments completed in the study period, 50.7% were at or within 3-months of admission and 69.1% were within the first year of program participation. Cognitive health need was identified by self-report (57.6%) and clinician-report (69.9%) and led to provision of specific services, including psychoeducation, compensatory skills training and in some cases restorative cognitive training.ConclusionsPreliminary feasibility data are encouraging but barriers to assessment need to be identified and addressed. Rates of identified cognitive health need warrant further study of the implementation process and outcomes so that cognitive health assessment and treatment practices may ultimately be disseminated to CSC programs more broadly.
| S-EPMC8272079 | biostudies-literature
Project description:ImportanceIntersecting factors of social position including ethnoracial background may provide meaningful ways to understand disparities in pathways to care for people with a first episode of psychosis.ObjectiveTo examine differences in pathways to care by ethnoracial groups and by empirically derived clusters combining multiple factors of social and clinical context in an ethnoracially diverse multisite early-intervention service program for first-episode psychosis.Design, setting, and participantsThis cohort study used data collected on individuals with recent-onset psychosis (<2 years) by clinicians with standardized forms from October 2013 to January 2020 from a network of 21 coordinated specialty care (CSC) programs in New York State providing recovery-oriented, evidence-based psychosocial interventions and medications to young people experiencing early psychosis.ExposuresEthnoracial group and other factors of social position (eg, insurance status, living situation, English fluency, geographic region) intersecting with first-contact experiences (ie, type of first service, referral source, and symptoms at referral).Main outcomes and measuresOutcome measures were time from onset to first contact, first contact to CSC, and onset to CSC.ResultsThe total study sample consists of 1726 individuals aged 16 to 30 years and included 452 women (26%), 1263 men (73%), and 11 (<1%) with another gender enrolled in the network of CSC programs. The total sample consisted of 153 Asian (9%), 599 Black (35%), 454 Latinx (26%), and 417 White individuals (24%). White individuals had a significantly shorter time from onset to first contact (median [IQR], 17 [0-80] days) than Asian (median [IQR], 34 [7-94] days) and Black (median [IQR], 30 [1-108] days) individuals but had the longest period from first contact to CSC (median [IQR], 102.5 [45-258] days). Five distinct clusters of individuals emerged that cut across ethnoracial groups. The more disadvantaged clusters in terms of both social position and first-contact experiences had the longest time from onset to first contact, which were longer than for any single ethnoracial group.Conclusions and relevanceIn this cohort study of individuals with recent-onset psychosis, time-to-treatment outcomes differed by ethnoracial group and by empirically derived clusters combining multiple factors of social and clinical context. The examination of disparities in durations to treatment through an intersectional, ethnoracial lens may improve understanding of the inequities resulting from the various intersecting factors that may compound delays in treatment initiation.
| S-EPMC9244772 | biostudies-literature
Project description:BACKGROUND:Schizophrenia spectrum disorders exert a large and disproportionate economic impact. Early intervention services may be able to alleviate the burden of schizophrenia spectrum disorders on diagnosed individuals, caregivers, and society at large. Economic analyses of observational studies have supported investments in specialized team-based care for early psychosis; however, questions remain regarding the economic viability of first-episode services in the fragmented U.S. healthcare system. The clinic for Specialized Treatment Early in Psychosis (STEP) was established in 2006, to explicitly model a nationally-relevant U.S. public-sector early intervention service. The purpose of this study was to conduct an economic evaluation of STEP, a Coordinated Specialty Care service (CSC) based in a U.S. State-funded community mental health center, relative to usual treatment (UT). METHODS:Eligible patients were within 5 years of psychosis onset and had no more than 12 weeks of lifetime antipsychotic exposure. Participants were randomized to STEP or UT. The annual per-patient cost of the STEP intervention per se was estimated assuming a steady-state caseload of 30 patients. A cost-offset analysis was conducted to estimate the net value of STEP from a third-party payer perspective. Participant healthcare service utilization was evaluated at 6 months and over the entire 12 months post randomization. Generalized linear model multivariable regressions were used to estimate the effect of STEP on healthcare costs over time, and generate predicted mean costs, which were combined with the per-patient cost of STEP. RESULTS:The annual per-patient cost of STEP was $1,984. STEP participants were significantly less likely to have any inpatient or ED visits; among individuals who did use such services in a given period, the associated costs were significantly lower for STEP participants at month 12. We did not observe a similar effect with regard to other healthcare services. The predicted average total costs were lower for STEP than UT, indicating a net benefit for STEP of $1,029 at month 6 and $2,991 at month 12; however, the differences were not statistically significant. CONCLUSIONS:Our findings are promising with regard to the value of STEP to third-party payers.
| S-EPMC6314808 | biostudies-literature
Project description:Supported by the 10% set-aside funds in the Community Mental Health Block grant, distributed at the state level, coordinated specialty care (CSC) have been widely disseminated throughout the U.S. This study explores variations in the geographical accessibility of CSC programs by neighborhood level characteristics in Washington State. CSC locations were geocoded. Socioeconomic neighborhood deprivation (i.e., Area deprivation index) and rurality (i.e., Rural-Urban Commuting Area codes) were neighborhood level characteristics extracted from the 2018 American Community Survey. Geographic accessibility of CSC was assessed using a two-step floating catchment area technique and multilevel linear models were used to examine the association between specific neighborhood characteristics and geographic accessibility. The association between access and socioeconomically deprived neighborhoods varied differentially by neighborhood rurality (an interaction effect). Model estimates indicated that the least deprived, metropolitan neighborhoods had the best access (M = 0.38; CI: 0.34, 0.42) and rural neighborhoods in the second most deprived quartile had the worst access (M = 0.16; CI: 0.11, 0.21) to CSC. There was a clear decrease in accessibility for more rural neighborhoods, regardless of other neighborhood characteristics. In conclusions, findings provide important insight into how resource distribution contributes to geographic disparities in access to CSC. The use of spatial analytic techniques has the potential to identify specific neighborhoods and populations where there is a need to expand and increase availability of CSC to ensure access to rural and socioeconomically deprived neighborhoods.
| S-EPMC9119810 | biostudies-literature
Project description:BackgroundThe emergency department is a critical juncture in the trajectory of care of patients with serious, life-limiting illness. Implementation of a clinical decision support (CDS) tool automates identification of older adults who may benefit from palliative care instead of relying upon providers to identify such patients, thus improving quality of care by assisting providers with adhering to guidelines. The Primary Palliative Care for Emergency Medicine (PRIM-ER) study aims to optimize the use of the electronic health record by creating a CDS tool to identify high risk patients most likely to benefit from primary palliative care and provide point-of-care clinical recommendations.MethodsA clinical decision support tool entitled Emergency Department Supportive Care Clinical Decision Support (Support-ED) was developed as part of an institutionally-sponsored value based medicine initiative at the Ronald O. Perelman Department of Emergency Medicine at NYU Langone Health. A multidisciplinary approach was used to develop Support-ED including: a scoping review of ED palliative care screening tools; launch of a workgroup to identify patient screening criteria and appropriate referral services; initial design and usability testing via the standard System Usability Scale questionnaire, education of the ED workforce on the Support-ED background, purpose and use, and; creation of a dashboard for monitoring and feedback.ResultsThe scoping review identified the Palliative Care and Rapid Emergency Screening (P-CaRES) survey as a validated instrument in which to adapt and apply for the creation of the CDS tool. The multidisciplinary workshops identified two primary objectives of the CDS: to identify patients with indicators of serious life limiting illness, and to assist with referrals to services such as palliative care or social work. Additionally, the iterative design process yielded three specific patient scenarios that trigger a clinical alert to fire, including: 1) when an advance care planning document was present, 2) when a patient had a previous disposition to hospice, and 3) when historical and/or current clinical data points identify a serious life-limiting illness without an advance care planning document present. Monitoring and feedback indicated a need for several modifications to improve CDS functionality.ConclusionsCDS can be an effective tool in the implementation of primary palliative care quality improvement best practices. Health systems should thoughtfully consider tailoring their CDSs in order to adapt to their unique workflows and environments. The findings of this research can assist health systems in effectively integrating a primary palliative care CDS system seamlessly into their processes of care.Trial registrationClinicalTrials.gov Identifier: NCT03424109. Registered 6 February 2018, Grant Number: AT009844-01.
| S-EPMC6988238 | biostudies-literature
Project description:Health officials lack field-implementable tools for forecasting the effects that a large-scale release of Bacillus anthracis spores would have on public health and hospitals. We created a modeling tool (combining inhalational anthrax caseload projections based on initial case reports, effects of variable postexposure prophylaxis campaigns, and healthcare facility surge capacity requirements) to project hospitalizations and casualties from a newly detected inhalation anthrax event, and we examined the consequences of intervention choices. With only 3 days of case counts, the model can predict final attack sizes for simulated Sverdlovsk-like events (1979 USSR) with sufficient accuracy for decision making and confirms the value of early postexposure prophylaxis initiation. According to a baseline scenario, hospital treatment volume peaks 15 days after exposure, deaths peak earlier (day 5), and recovery peaks later (day 23). This tool gives public health, hospital, and emergency planners scenario-specific information for developing quantitative response plans for this threat.
| S-EPMC5176207 | biostudies-literature