The Outcome of Psychiatric Rehabilitation Treatment Depends on Affective State at the Time of Admission.

BACKGROUND: In Austria, new approaches of rehabilitation programs focus on the prevention of mental illness and offer treatment not only for acute psychiatric patients, but also for those who are at risk of developing a mental disorder or have recovered from one.The aim of this study was to determine the effects of a psychiatric rehabilitation program on individuals with different mood states. SUBJECTS AND METHODS: 600 patients with a history of affective disorder were tested at the time of admission to an Austrian inpatient psychiatric rehabilitation center. Data of extreme groups - patients who were depressed (n=59; BDI-II<9 and HAMD<8) or euthymic (n=59; BDI<18 and HAMD>19) at the time of therapy start - were analyzed. The participants completed the Maslach Burnout Inventory - General Survey, the Symptom Checklist - Revised and the Stress Coping Questionnaire at the beginning and the end of the 6-weeks rehabilitation program. RESULTS: After 6 weeks, both groups showed significantly less psychiatric symptoms (BDI-II, HAMD, SCL-90, and negative coping strategies (SVF). Importantly, work-related stress symptoms ("burnout" symptoms) improved significantly in the euthymic group. CONCLUSIONS: Euthymic patients seem to be able to focus on work-related stress symptoms including reduced emotional exhaustion through treatment, while currently depressed patients primarily benefit by an improvement in general psychiatric symptomatology. The results indicate the crucial role of mood state validated with standardized psychological questionnaires BDI-II and HAMD at time of admission to such programs. These findings could have implications on treatment decisions for psychiatric patients and assist in making a forecast concerning ability to recover and treatment prognosis.

Physical health in individuals with psychiatric disorders in Austria.

INTRODUCTION: The association between severe psychiatric disorders and metabolic syndrome is well documented and goes along with a reduced life expectancy. The prevalence of medical comorbidities in individuals suffering from psychiatric disorders in Austria has not yet been examined; aim of this study was to analyze the prevalence of comorbid somatic disorder in individuals diagnosed with psychiatric disorders in Austria. METHODS: Patients (n = 600) with a life-time diagnosis of mood and anxiety disorders undergoing a six-week course of intensive treatment in a psychiatric rehabilitation center were recruited. Prevalent somatic and psychological conditions, anamnestic data, medical history, blood samples, clinical and psychological tests as well as medication were examined to determine somatic and psychiatric diagnoses. RESULTS: Metabolic disorders were highly prevalent especially in individuals diagnosed with affective disorders, respectively in bipolar disorder. Furthermore, obesity and thyroid dysfunction were found in about 40% of individuals diagnosed with bipolar disorder in the present study. Significant gender differences were found in CVD and hypertension with higher prevalence in men, while thyroid dysfunction occurred more often in women also compared to the general female population. CONCLUSIONS: Characterizing somatic comorbidity in individuals with psychiatric disorders can stimulate research to better understand possible shared etiologic factors and has public health implications for improving models of care. This could have a positive effect on the course of mental disorders, and additionally improve social integration and life expectancy. Knowledge about sex differences should be used to further improve individualized treatment of individuals with psychiatric disorders.

Dynamics of the mental health workforce: investigating the composition of physicians and other health providers.

We evaluate how changes to mental health workforce levels, composition, and degree of labor substitution, may impact typical practice output. Using a generalized Leontief production function and data from 134 U.S. Department of Veterans Affairs (VA) mental health practices, we estimate the q-complementarity/q-substitutability of mental health workers. We look at the entire spectrum of mental health services rather than just outpatient or physician office services. We also examine more labor types, including residents, than previous studies. The marginal patient care output contribution is estimated for each labor type as well as the degree to which physicians and other mental health workers may be substitutes or complements. Results indicate that numerous channels exist through which input substitution can improve productivity. Seven of eight labor and capital inputs have positive estimated marginal products. Most factor inputs exhibit diminishing marginal productivity. Of 28 unique labor-capital pairs, 17 are q-complements and 11 are q-substitutes. Complementarity among several labor types provides evidence of a team approach to mental health service provision. Our approach may serve to better inform healthcare providers regarding more productive mental health workforce composition both in and outside of VA.

Determining population based mortality risk in the Department of Veterans Affairs.

We develop a patient level hierarchical regression model using administrative claims data to assess mortality outcomes for a national VA population. This model, which complements more traditional process driven performance measures, includes demographic variables and disease specific measures of risk classified by Diagnostic Cost Groups (DCGs). Results indicate some ability to discriminate survivors and non-survivors with an area under the Receiver Operating Characteristic Curve (C-statistic) of .86. Observed to expected mortality ranges from .86 to 1.12 across predicted mortality deciles while Risk Standardized Mortality Rates (RSMRs) range from .76 to 1.29 across 145 VA hospitals. Further research is necessary to understand mortality variation which persists even after adjusting for case mix differences. Future work is also necessary to examine the role of personal behaviors on patient outcomes and the potential impact on population survival rates from changes in treatment policy and infrastructure investment.

The effect of physician panel size on health care outcomes.

An inadequate supply of primary care providers is leading to a crisis in access. Pressures are being placed on primary care practices to increase panel sizes. The impact of these pressures on clinical processes, patient satisfaction and waiting times is largely unknown, although evidence from recent literature shows that longer waiting time results in higher mortality rates and other adverse outcomes. FY2004, Department of Veterans Affairs primary care patient data are used. GLIMMIX and other generalized linear model models illustrate how expanded panel sizes are correlated with clinical process indicators, patient satisfaction and waiting times, controlling for practice, provider and patient characteristics. We generally find that larger panel sizes are related to statistically significant increases in waiting time. However, larger panel sizes appear to have generally small effects on patient process indicators and satisfaction. Panels with more support staff have lower waiting times and small, improved outcomes. We find panels with older and clinically riskier patients have, on average, slightly lower waiting times and increased likelihoods of positive outcomes than panels with younger, healthier veterans. Female veterans appear to have reduced likelihoods of positive outcomes. Higher priority and female veterans also have lower satisfaction. Further study is needed to analyse the impact of potential panel size endogeneity in this system.

Quality of care in a Veterans Affairs' nursing home-based hospice unit.

OBJECTIVES: To report on quality of care in a Veterans Affairs (VA) dedicated hospice unit. DESIGN: Mortality follow-back survey of bereaved family members, using a quality of care instrument. SETTING: A VA inpatient hospice unit. PARTICIPANTS: Bereaved family members. MEASUREMENTS: Satisfaction with care as perceived by family members using a telephone survey. RESULTS: 159 family members were contacted with 102 completing full and 37 completing abbreviated surveys. (Overall response rate: 87.4%, complete responses: 64.2%) 98% of all respondents reported overall quality of care as Excellent or Very Good. CONCLUSION: High levels of satisfaction were reported by family members. Implications of this initiative for the provision of hospice care in nursing homes are discussed, including replication of the model in both VA and non-VA nursing home settings.