34 research outputs found

    The Role of Leadership in Creating a Strategic Climate for Evidence-Based Practice Implementation and Sustainment in Systems and Organizations

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    There is a growing impetus to effectively implement evidence-based practices (EBPs) in health and allied health settings in order to improve the public health impact of such practices. To support implementation and sustainment of EBPs, it is important to consider that health care is delivered within the outer context of public health systems and the inner context of health care organizations and work groups (3). This article identifies two relevant types of leadership for implementation and recommends steps that leaders can take in developing a strategic climate for EBP implementation and sustainment within the outer and inner contexts of health and allied health care systems and organizations

    Evaluating a Measure of Social Health Derived from Two Mental Health Recovery Measures: The California Quality of Life (CA-QOL) and Mental Health Statistics Improvement Program Consumer Survey (MHSIP)

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    Social health is important to measure when assessing outcomes in community mental health. Our objective was to validate social health scales using items from two broader commonly used measures that assess mental health outcomes. Participants were 609 adults receiving psychological treatment services. Items were identified from the California Quality of Life (CA-QOL) and Mental Health Statistics Improvement Program (MHSIP) outcome measures by their conceptual correspondence with social health and compared to the Social Functioning Questionnaire (SFQ) using correlational analyses. Pearson correlations for the identified CA-QOL and MSHIP items with the SFQ ranged from .42 to .62, and the identified scale scores produced Pearson correlation coefficients of .56, .70, and, .70 with the SFQ. Concurrent validity with social health was supported for the identified scales. The current inclusion of these assessment tools allows community mental health programs to include social health in their assessments

    Mental Health Recovery in the Patient-Centered Medical Home

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    Background : The current United States (US) healthcare system focuses primarily on acute needs. As a result, the US ranks poorly in preventable mortality, and the incidence and prevalence of chronic conditions has increased. The "patient-centered medical home" (PCMH), a facility wherein patients' comprehensive healthcare needs may be met, is posited as an innovation for improving the healthcare system at lower costs. However, evidence regarding the effectiveness of the PCMH in improving health outcomes is limited. Additionally, a healthcare system that fails to address mental health will be incomplete and minimally effective. Consequently, an assessment of the effectiveness of the PCMH in improving the health, including mental health, of its patients is necessary. Objectives : This study examined the impact of transitioning clients from a Mental Health (MH) clinic to a patient-centered medical home (PCMH) on MH recovery). Methods : Data were drawn from a large US County Behavioral Health Services administrative data set. Propensity score analysis and multilevel modeling were used to assess the impact of the PCMH on MH recovery by comparing PCMH participants (n = 215) to clients receiving service as usual (SAU) (n = 22394). MH recovery is repeatedly assessed over time (days since baseline assessment range: 0-1,639, M = 186) by the Illness Management and Recovery (IMR) scale and the Recovery Markers Questionnaire (RMQ) Results : For total IMR (LR[chi]² (1) = 4696.97, p < .0001) and IMR Factor 2 Management scores (LR[chi]² (1) = 7.9, p = .005), increases in MH recovery over time were greater for PCMH participants than SAU participants. Increases on all other measures over time were similar for PCMH and SAU participants. Conclusions : Greater increases in MH recovery over time can be expected when patients with severe mental illness are provided treatment through the PCMH. Evaluative efforts should be taken to inform more wide-spread adoption of the PCM

    COVID-Related Work Changes, Burnout, and Turnover Intentions in Mental Health Providers: A Moderated Mediation Analysis

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    Objective: The novel coronavirus disease (COVID-19) has drastically impacted the provision of mental health services. Changes required of providers were substantial and could lead to increased burnout and, subsequently, increased turnover intentions. This study examined burnout experienced by mental health services providers in the context of COVID-19 and through the lens of the job demands-resources (JD-R) model. We examined the effects of work changes on burnout and subsequent turnover intentions, and how job and personal resources may have buffered the extent to which work changes due to COVID-19 impacted burnout. Methods: Service providers (n = 93) from six community mental health centers (CMHCs) in one Midwestern state in the United States completed surveys as part of service contracts to implement evidence-based practices. Path analysis tested the unconditional indirect relations between work changes and turnover intentions through burnout. Moderated mediation determined whether the indirect effect of work changes on turnover intentions via burnout varied in strength by job and personal resources. Results: Work changes had a significant indirect effect on turnover intentions through burnout ( β ^ = .140, 95% CI = .072, .217). This indirect effect varied as a function of two job resources, organizational trust and perceived organizational support. Conclusions and Implications for Practice: Burnout was relatively low only when work changes were low and job resources levels high. When work changes were high, burnout was similarly high across levels of job resources. To minimize burnout, organizations should limit task, setting, and team-related work changes to the extent possible. (PsycInfo Database Record (c) 2021 APA, all rights reserved)

    Creating CHOIS: A Recovery-Oriented PROMIS-Based Measure for Mental Health Screening and Outcomes

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    The National Institutes of Health Patient Reported Outcomes Medical Information System (PROMIS) measures a few important domains of mental health, but does not yet measure some other important psychiatric symptoms, nor does it include recovery factors and strengths such as social connectedness, self-esteem, and coping ability. The CHOIS is a recovery-oriented PROMIS-based instrument designed to supplement traditional PROMIS administration by attempting to fill in these gaps in mental health assessment. It was created for settings that do not primarily focus on mental health issues such as primary care, non-psychiatric hospitals, and substance abuse services. It adds specific symptoms of mental disorders based on DSM-IV-TR, positive recovery factors that were drawn from focus groups of people with mental illnesses, andresponse inconsistency indicators. We first implemented the measure across 13 Alcohol and Drug Services programs as a screening measure and outcomes tool, and measured internal consistency of the scales among a wide variety of participants. Among the 3,712 people who completed the measure, the internal consistency of the scales was as follows: Depression .93, Anxiety .89, Anger .87, Psychosis .79, Cognition .71, and Recovery Factors .90. All of the scales were significantly correlated with functional limitations and wanting help for mental health issues. The CHOIS could become an important tool for allowing valid and comprehensive immediate use of the still-developing PROMIS in a variety of settings as a mental health screening and outcomes instrument. It works seamlessly as a supplement to the entire PROMIS outcomes system that measures other important health constructs, and creates a more recovery-oriented focus for healthcare systems, even in non-psychiatric settings
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