Time-varying treatment effect modification of oral analgesic effectiveness by depressive symptoms in knee osteoarthritis: an application of structural nested mean models in a prospective cohort.

BACKGROUND: Depressive symptoms are common in knee osteoarthritis (OA), exacerbate knee pain severity and may influence outcomes of oral analgesic treatments. The aim was to assess whether oral analgesic effectiveness in knee OA varies by fluctuations in depressive symptoms. METHODS: The sample included Osteoarthritis Initiative (OAI) participants not treated with oral analgesics at enrolment (n = 1477), with radiographic disease at the first follow-up visit (defined as the index date). Oral analgesic treatment and depressive symptoms, assessed with the Center for Epidemiological Studies Depression [(CES-D) score ≥16] Scale, were measured over three annual visits. Knee pain severity was measured at visits adjacent to treatment and modifier using the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) pain subscale (rescaled range = 0-100). Structural nested mean models (SNMMs) estimated causal mean differences in knee pain severity comparing treatment versus no treatment. RESULTS: The average causal effects of treated versus not treated for observations without depressive symptoms showed negligible differences in knee pain severity. However, causal mean differences in knee pain severity comparing treatment versus no treatment among observations with depressive symptoms increased over time from -0.10 [95% confidence interval (CI): -9.94, 9.74] to -16.67 (95% CI: -26.33, -7.01). Accordingly, the difference in average causal effects regarding oral analgesic treatment for knee pain severity between person-time with and without depressive symptoms was largest (-16.53; 95% CI: -26.75, -6.31) at the last time point. Cumulative treatment for 2 or 3 years did not yield larger causal mean differences. CONCLUSIONS: Knee OA patients with persistent depressive symptoms and chronic pain may derive more analgesic treatment benefit than those without depressive symptoms and less pain.

Duloxetine plus exercise for knee osteoarthritis and depression: A feasibility study.

Objective: To assess the feasibility of a 24-week, center-based, aerobic exercise program plus duloxetine to treat symptomatic knee osteoarthritis (OA) and major depression. Design: Patients with symptomatic knee OA and major depression were recruited between August 2021 and November 2022 from the University of Maryland and VA Maryland Health Care Systems and Baltimore metropolitan area using medical records and advertisements. The intervention included 1) supervised treadmill walking 3 times weekly and 2) duloxetine starting at 30 â€‹mg each day and titrating up to the optimal dosage of 60 â€‹mg daily. Data collection occurred at baseline and 12- and 24-weeks follow-up. Feasibility was evaluated from recruitment rates, reasons for drop out, and treatment adherence. Clinical measures included the Knee Injury and Osteoarthritis Outcome Score (KOOS) and the Hamilton Depression Rating Scale (HAM-D). Results: Among 377 interested participants, 9 patients were enrolled, and 1 completed treatment. The most common reason reported for not prescreening was time commitment (n â€‹= â€‹39), many patients did not satisfy depression screening criteria (n â€‹= â€‹45), and most enrolled participants were not experiencing a major depressive episode (n â€‹= â€‹6). The single treated participant was 100 â€‹% adherent to duloxetine and depression severity decreased (HAM-D â€‹= â€‹25 to 1), but compliance to supervised exercise was only 26 â€‹%, and knee pain severity changed little (KOOS â€‹= â€‹41.7 to 44.4). Conclusions: This intervention had low feasibility. Time commitment to supervised exercise sessions reduced accessibility, and depression defined by diagnostic criteria precluded knee OA patients with depressive symptoms not a meeting case-level diagnosis from receiving treatment. Clinical trial registration number: NCT04111627.

Modified Work Behavior Inventory assessment: Evaluation of psychometric properties.

The Work Behavior Inventory (WBI) is a widely used and validated assessment of work functioning in people with schizophrenia. WBI ratings are based on workplace observation and interview with work supervisors. Workplace observation may not be acceptable in all employment settings. A WBI assessment based only on supervisor interview may offer more utility. The current study evaluated the psychometric properties of a modified WBI among individuals with schizophrenia participating in VA vocational rehabilitation programs - similar to the original WBI validation study. Results suggest evidence for reliability, validity and sensitivity to change for an interview only format. Limitations and future research directions are discussed.

Feasibility of implementing a recovery education center in a Veterans Affairs medical center.

OBJECTIVE: The purpose of this study was to determine the feasibility of implementing a recovery education program in a Veterans Affairs medical center. METHOD: This case study describes development and implementation of a mental health and wellness curriculum offered through a centralized location. Referral and utilization data (n = 781) from the first 18 months of implementation were used to evaluate feasibility. FINDINGS: Access to programming with zero exclusion was prioritized and average time from referral to enrollment was 9.6 days. Fifty-six percent of veterans admitted to mental health services during the 18-month evaluation period were referred to the program, and this level of utilization continued to be sustained. A broad range of classes was available. Opportunities to change classes as recovery goals evolved was encouraged and data indicate veterans actively tailored their individual recovery curriculum. CONCLUSIONS AND IMPLICATIONS FOR PRACTICE: Educational recovery programming was easily incorporated into a large integrated health facility, was well received, and offered greater opportunity for choice and individualization of recovery curriculum. (PsycINFO Database Record

Heterogeneity in recovery of psychosocial functioning during psychiatric rehabilitation: an exploratory study using latent growth mixture modeling.

Research in schizophrenia and related severe mental illness (SMI) suggests that psychiatric rehabilitation facilitates recovery of psychosocial functioning although there is considerable heterogeneity in outcomes. The present study used growth mixture modeling (GMM), a longitudinal latent variable modeling strategy, to identify classes of psychosocial functioning recovery trajectories. Archival clinical assessment data representing the first 18 months of an inpatient psychiatric rehabilitation program were analyzed from a sample of participants with schizophrenia spectrum disorders (N=162). Based on a GMM analysis of monthly Nurse Observation Scale for Inpatient Evaluation (NOSIE) scores two classes were identified that differed in overall level of psychosocial functioning, rate and nonlinear shape of change. The identified lower functioning group was characterized by poorer neurocognitive functioning at admission, a history of negative symptoms, more previous inpatient psychiatric days, and a longer length of stay in the rehabilitation program. However, this group showed significantly greater positive change in the NOSIE domains directly targeted by behavioral treatment: daily schedule competence, neatness, and irritability. Methodological and theoretical implications of these modeling strategies are discussed in the context of understanding the rehabilitation process.

Identifying mechanisms of treatment effects and recovery in rehabilitation of schizophrenia: longitudinal analytic methods.

The longitudinal dimension of schizophrenia and related severe mental illness is a key component of theoretical models of recovery. However, empirical longitudinal investigations have been underrepresented in the psychopathology of schizophrenia. Similarly, traditional approaches to longitudinal analysis of psychopathological data have had serious limitations. The utilization of modern longitudinal methods is necessary to capture the complexity of biopsychosocial models of treatment and recovery in schizophrenia. The present paper summarizes empirical data from traditional longitudinal research investigating recovery in symptoms, neurocognition, and social functioning. Studies conducted under treatment as usual conditions are compared to psychosocial intervention studies and potential treatment mechanisms of psychosocial interventions are discussed. Investigations of rehabilitation for schizophrenia using the longitudinal analytic strategies of growth curve and time series analysis are demonstrated. The respective advantages and disadvantages of these modern methods are highlighted. Their potential use for future research of treatment effects and recovery in schizophrenia is also discussed.

Social cognitive bias and neurocognitive deficit in paranoid symptoms: evidence for an interaction effect and changes during treatment.

Persistent paranoid symptoms are best understood as having multiple causal mechanisms. An enhanced multidimensional understanding of paranoia may result from the convergence of two distinct measurement paradigms, experimental psychopathology and social cognitive research. This study investigated the role of neurocognitive deficits and emotion misperception bias as they relate to paranoid symptoms at two different time points in a sample of individuals with severe mental illness (primarily schizophrenia spectrum disorders [N=91]) undergoing intensive psychosocial rehabilitation. Before intensive rehabilitation (but after initial stabilization), paranoid symptoms were related to a tendency to misperceive emotion as disgust. The impact of this social cognitive bias was amplified by perseveration (as measured by the COGLAB Card Sorting Task). Perseverative errors were associated with paranoid symptoms at both time points. After 6 months of treatment, there were significant reductions in paranoid symptoms and perseverative errors but no significant changes in emotion misperception biases. This study is one of few to date to evaluate the contribution of both neurocognitive deficits and social cognitive biases to paranoid symptoms. The results demonstrate how social cognitive biases can interact with neurocognitive deficits in expression of paranoid symptoms, and how these relationships change during treatment.