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      Managed care updates of subscriber jail release to prompt community suicide prevention: clinical trial protocol

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          Abstract

          Background

          Recent jail detention is a marker for trait and state suicide risk in community-based populations. However, healthcare providers are typically unaware that their client was in jail and few post-release suicide prevention efforts exist. This protocol paper describes an effectiveness-implementation trial evaluating community suicide prevention practices triggered by advances in informatics that alert CareSource, a large managed care organization (MCO), when a subscriber is released from jail.

          Methods

          This randomized controlled trial investigates two evidence-based suicide prevention practices triggered by CareSource’s jail detention/release notifications, in a partial factorial design. The first phase randomizes ~ 43,000 CareSource subscribers who pass through any Ohio jail to receive Caring Contact letters sent by CareSource or to Usual Care after jail release. The second phase (running simultaneously) involves a subset of ~ 6,000 of the 43,000 subscribers passing through jail who have been seen in one of 12 contracted behavioral health agencies in the 6 months prior to incarceration in a stepped-wedge design. Agencies will receive: (a) notifications of the client’s jail detention/release, (b) instructions for re-engaging these clients, and (c) training in suicide risk assessment and the Safety Planning Intervention for use at re-engagement. We will track suicide-related and service linkage outcomes 6 months following jail release using claims data.

          Conclusions

          This design allows us to rigorously test two intervention main effects and their interaction. It also provides valuable information on the effects of system-level change and the scalability of interventions using big data from a MCO to flag jail release and suicide risk.

          Trial registration

          The trial is registered at clinicaltrials.gov (NCT05579600). Registered 27 June, 2023.

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          Most cited references57

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          Making Neighborhood-Disadvantage Metrics Accessible — The Neighborhood Atlas

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            Psychometric assessment of three newly developed implementation outcome measures

            Background Implementation outcome measures are essential for monitoring and evaluating the success of implementation efforts. Yet, currently available measures lack conceptual clarity and have largely unknown reliability and validity. This study developed and psychometrically assessed three new measures: the Acceptability of Intervention Measure (AIM), Intervention Appropriateness Measure (IAM), and Feasibility of Intervention Measure (FIM). Methods Thirty-six implementation scientists and 27 mental health professionals assigned 31 items to the constructs and rated their confidence in their assignments. The Wilcoxon one-sample signed rank test was used to assess substantive and discriminant content validity. Exploratory and confirmatory factor analysis (EFA and CFA) and Cronbach alphas were used to assess the validity of the conceptual model. Three hundred twenty-six mental health counselors read one of six randomly assigned vignettes depicting a therapist contemplating adopting an evidence-based practice (EBP). Participants used 15 items to rate the therapist’s perceptions of the acceptability, appropriateness, and feasibility of adopting the EBP. CFA and Cronbach alphas were used to refine the scales, assess structural validity, and assess reliability. Analysis of variance (ANOVA) was used to assess known-groups validity. Finally, half of the counselors were randomly assigned to receive the same vignette and the other half the opposite vignette; and all were asked to re-rate acceptability, appropriateness, and feasibility. Pearson correlation coefficients were used to assess test-retest reliability and linear regression to assess sensitivity to change. Results All but five items exhibited substantive and discriminant content validity. A trimmed CFA with five items per construct exhibited acceptable model fit (CFI = 0.98, RMSEA = 0.08) and high factor loadings (0.79 to 0.94). The alphas for 5-item scales were between 0.87 and 0.89. Scale refinement based on measure-specific CFAs and Cronbach alphas using vignette data produced 4-item scales (α’s from 0.85 to 0.91). A three-factor CFA exhibited acceptable fit (CFI = 0.96, RMSEA = 0.08) and high factor loadings (0.75 to 0.89), indicating structural validity. ANOVA showed significant main effects, indicating known-groups validity. Test-retest reliability coefficients ranged from 0.73 to 0.88. Regression analysis indicated each measure was sensitive to change in both directions. Conclusions The AIM, IAM, and FIM demonstrate promising psychometric properties. Predictive validity assessment is planned. Electronic supplementary material The online version of this article (doi:10.1186/s13012-017-0635-3) contains supplementary material, which is available to authorized users.
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              Release from prison--a high risk of death for former inmates.

              The U.S. population of former prison inmates is large and growing. The period immediately after release may be challenging for former inmates and may involve substantial health risks. We studied the risk of death among former inmates soon after their release from Washington State prisons. We conducted a retrospective cohort study of all inmates released from the Washington State Department of Corrections from July 1999 through December 2003. Prison records were linked to the National Death Index. Data for comparison with Washington State residents were obtained from the Wide-ranging OnLine Data for Epidemiologic Research system of the Centers for Disease Control and Prevention. Mortality rates among former inmates were compared with those among other state residents with the use of indirect standardization and adjustment for age, sex, and race. Of 30,237 released inmates, 443 died during a mean follow-up period of 1.9 years. The overall mortality rate was 777 deaths per 100,000 person-years. The adjusted risk of death among former inmates was 3.5 times that among other state residents (95% confidence interval [CI], 3.2 to 3.8). During the first 2 weeks after release, the risk of death among former inmates was 12.7 (95% CI, 9.2 to 17.4) times that among other state residents, with a markedly elevated relative risk of death from drug overdose (129; 95% CI, 89 to 186). The leading causes of death among former inmates were drug overdose, cardiovascular disease, homicide, and suicide. Former prison inmates were at high risk for death after release from prison, particularly during the first 2 weeks. Interventions are necessary to reduce the risk of death after release from prison. Copyright 2007 Massachusetts Medical Society.
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                Author and article information

                Contributors
                sarah_arias@brown.edu
                Journal
                BMC Health Serv Res
                BMC Health Serv Res
                BMC Health Services Research
                BioMed Central (London )
                1472-6963
                16 November 2023
                16 November 2023
                2023
                : 23
                : 1265
                Affiliations
                [1 ]Butler Hospital, ( https://ror.org/00z9zsj19) Providence, RI USA
                [2 ]GRID grid.273271.2, ISNI 0000 0000 8593 9332, Department of Psychiatry and Human Behavior, , Brown University, Butler Hospital, ; 345 Blackstone Blvd., Providence, RI 02906 USA
                [3 ]CareSource, Dayton, OH USA
                [4 ]Center for Advancing Correctional Excellence!, George Mason University, ( https://ror.org/02jqj7156) Arlington, VA USA
                [5 ]Pacific Institute for Research & Evaluation, ( https://ror.org/01jfr3w16) Beltsville, MI USA
                [6 ]Curtin University School of Public Health, ( https://ror.org/02n415q13) Perth, Australia
                [7 ]Department of Psychiatry, University of Pennsylvania, ( https://ror.org/00b30xv10) Philadelphia, PA USA
                [8 ]Department of Psychiatry, Henry Ford Health System, ( https://ror.org/02kwnkm68) Detroit, MI USA
                [9 ]Charles Stewart Mott Department of Public Health, Michigan State University, ( https://ror.org/05hs6h993) Flint, MI USA
                Article
                10249
                10.1186/s12913-023-10249-5
                10655488
                37974126
                5d9a48e3-3f7a-47bf-85b8-724a1f4eb79e
                © The Author(s) 2023

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 13 September 2023
                : 30 October 2023
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100000025, National Institute of Mental Health;
                Award ID: P50 MH127512
                Award ID: P50 MH127512
                Award ID: P50 MH127512
                Award ID: P50 MH127512
                Award ID: P50 MH127512
                Award ID: P50 MH127512
                Award ID: P50 MH127512
                Award ID: P50 MH127512
                Award ID: P50 MH127512
                Award ID: P50 MH127512
                Award Recipient :
                Categories
                Study Protocol
                Custom metadata
                © BioMed Central Ltd., part of Springer Nature 2023

                Health & Social care
                jail,criminal legal involvement,suicide prevention,managed care,medicaid
                Health & Social care
                jail, criminal legal involvement, suicide prevention, managed care, medicaid

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