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State mental health authorities and other public and private entities are developing outcome measures and comparing results across providers, programs, and systems. To make comparisons equitable, outcomes must be risk adjusted. This article provides an introduction to mental health risk adjustment and outlines issues involved in the selection of outcome and risk variables, data collection protocols, and analytic methods. It stresses the importance of proper identification of risk-adjustment variables and models. The article concludes with the next steps necessary to develop a valid approach to the risk-adjustment methodology.

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The use of mental health indicators to compare provider performance requires that comparisons be fair. Fair provider comparisons mean that scores are risk adjusted for client characteristics that influence scores and that are beyond provider control. Data for the study are collected from 336 outpatients receiving publicly funded mental health services in Washington State. The study compares alternative specifications of multiple regression-based risk-adjustment models to argue that the particular form of the model will lead to different conclusions about comparative treatment agency performance. In order to evaluate performance fairly it is necessary to not only incorporate risk adjustment, but also identify the most correct form that the risk-adjustment model should take. Future research is needed to specify; test, and validate the mental health risk-adjustment models best suited to particular treatment populations and performance indicators.

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This study examines three methods of conducting risk-adjustment to determine if the choice of method results in different conclusions about comparative mental health center performance. The three methods of risk-adjustment are stratification-weighting, logistic regression without interaction effects, and logistic regression with interaction effects. The dependent variable of interest is psychiatric rehospitalization within 14-60 days of discharge to a community mental health center. Subjects are adults discharged in fiscal year 1998 from inpatient psychiatric care to a designated community mental health center in Oklahoma. Using each method, we examine the mental health centers to determine whether their rehospitalization rates are significantly greater than, less than, or not different from, expected. Results show that, for some agencies, method of risk adjustment leads to different conclusions about center performance. Results are discussed with respect to identifying the preferred method of risk-adjustment, study limitations, and next steps in developing risk-adjustment technology and applications.

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Mental health services are underused relative to mental illness rates. We hypothesized a positive correlation between use of mental health services and community-level health care social capital. Community Tracking Study data from 43 cities (N = 43,278), merged with the National Profile of Local Health Departments and other sources, show that use of mental health services was greater when public health districts collaborated with managed care organizations and other community groups, independent of individual predictors and health care system variables. Use was also positively associated with community levels of public insurance coverage and with direct public health provision of behavioral health care services. Research is needed to understand the mechanisms by which social capital may improve access to mental health services.

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OBJECTIVE: Outcomes for negative symptoms over a one-year period were examined in two groups of patients, one receiving psychoeducational multiple-family group treatment and one receiving standard care. METHODS: A total of 63 outpatients, ages 18 to 45 years, with DSM-IV diagnoses of schizophrenic disorders were randomly assigned to standard care or multiple-family group psychoeducation treatment at a large mental health center in Spokane, Washington. Treatment assignment was stratified by whether patients were taking typical or atypical antipsychotic medications. Negative symptom status was monitored monthly for one year by raters blind to group assignment and measured as a composite of five symptoms using the Modified Scale for the Assessment of Negative Symptoms. RESULTS: When the analysis controlled for baseline negative symptoms, participants in the multiple-family group experienced significantly reduced negative symptoms compared with those receiving standard care. Taking atypical antipsychotic medication or having a diagnosis of substance abuse was not associated with the severity of negative symptoms. An additional analysis of the five individual negative symptoms indicated small but consistent group differences on all dimensions except inattention. Negative symptoms were significantly correlated with relapse to acute illness but not with outpatient or inpatient service use. CONCLUSIONS: The study demonstrated that a psychoeducational multiple-family group intervention was more effective than standard care in managing negative symptoms over a 12-month period. The results are particularly relevant because negative symptoms are associated with relapse, poor social and occupational functioning, cognitive impairment, and lower subjective quality of life.

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OBJECTIVE: To develop and test risk-adjustment outcome models in publicly funded mental health outpatient settings. We developed prospective risk models that used demographic and diagnostic variables; client-reported functioning, satisfaction, and quality of life; and case manager clinical ratings to predict subsequent client functional status, health-related quality of life, and satisfaction with services. DATA SOURCES/STUDY SETTING: Data collected from 289 adult clients at five- and ten-month intervals, from six community mental health agencies in Washington state located primarily in suburban and rural areas. Data sources included client self-report, case manager ratings, and management information system data. STUDY DESIGN: Model specifications were tested using prospective linear regression analyses. Models were validated in a separate sample and comparative agency performance examined. PRINCIPAL FINDINGS: Presence of severe diagnoses, substance abuse, client age, and baseline functional status and quality of life were predictive of mental health outcomes. Unadjusted versus risk-adjusted scores resulted in differently ranked agency performance. CONCLUSIONS: Risk-adjusted functional status and patient satisfaction outcome models can be developed for public mental health outpatient programs. Research is needed to improve the predictive accuracy of the outcome models developed in this study, and to develop techniques for use in applied settings. The finding that risk adjustment changes comparative agency performance has important consequences for quality monitoring and improvement. Issues in public mental health risk adjustment are discussed, including static versus dynamic risk models, utilization versus outcome models, choice and timing of measures, and access and quality improvement incentives.

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This study tests whether an outreach educational program tailored to institutional specific patient care practices would improve the quality of care delivered to mechanically ventilated intensive care unit (ICU) patients in rural hospitals. The study was conducted as a randomized control trial using 20 rural Iowa hospitals as the unit of analysis. Twelve randomly selected hospitals received an outreach educational program. After review of the medical records of eligible patients, a multidisciplinary team of intensive care unit specialists from an academic medical center delivered an educational program with content specific to the findings and capacity of the hospital. The outcome measures included patient care processes, patient morbidity and mortality outcomes, and resource use. Results indicated that the outreach program significantly improved many patient care processes (lab work, nursing, dietary management, ventilator management, ventilator weaning). The program marginally reduced hospital ventilator days. Both total length of stay and ICU length of stay fell markedly in the intervention group (by an average of 3.2 and 2.1 d, respectively), while the control group fell only 0.6 and 0.3 d, respectively. However, these effects did not reach statistical significance. Unfortunately, the program had no detectable effects on the clinical outcomes of mortality or nosocomial events. We conclude that an outreach program of this type can effectively improve processes of care in rural ICUs. However, improving processes of care may not always translate into improvement of specific outcomes.

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This study examines the relationship among types of insurance and characteristics of inpatient psychiatric treatment. Data include 46,998 adult psychiatric or substance abuse cases from all 1991-1992 Washington State discharges from short-stay general hospitals. Large and significant differences among payers exist in treatment characteristics, controlling for diagnosis and patient age. For example, length of stay is longest among commercial and Medicare payers. Emergency admissions are more common among public payers, and elective admissions are more common among private payers, including HMOs. Results and discussed in light of policy and administration issues that will arise as financing for mental health services comes under greater capitation.

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We model the impact of community characteristics on people's perceptions of the quality of their health care experiences in HMOs. We focus on three community characteristics: sense of community, population density, and population diversity. Sense of community refers to people's perception of interconnection, shared responsibility, and common goals. Population density and population diversity are community characteristics that affect transactions costs in terms of time and energy, and affect people's perceptions of their community. We use data from a 1993 Florida poll to estimate the relationship between HMO members' perceptions of problems with health care experiences (cost, choice, access, satisfaction) and community characteristics. We find that all three community variables are significantly associated with perceptions of health care problems. We also find that effects of community variables operate differently for those in HMOs vs. those under traditional insurance. This study is consistent with research showing that community characteristics impact the health status of community institutions. Results suggest that providers may be able to improve care by being more responsive to individuals' need for community, that providers and communities can mutually gain by collaborating to improve community health, and that it may be cost-beneficial to factor community issues more strongly into health care policy.

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Sociodemographics, clinical characteristics, and life stressors of community-dwelling suicidal risk and nonsuicidal risk elders referred to a community aging and mental health provider were compared in this study. Information was collected through case manager surveys and agency records on 683 older adults referred to the Elder Services Program of Spokane Mental Health in 1994 and the first 6 months of 1995. This sample included 109 individuals who were clinically judged to be at suicide risk by case managers at the time of initial assessment. Comparisons between suicidal risk and nonsuicidal risk elders indicated that suicidal elders were younger, more likely to be separated or divorced, and more likely to report a previous history of suicidal behavior. Results of a logistic regression analysis indicated that living alone, depression or anxiety disorder, and higher levels of emotional disturbance predicted suicide risk status. In addition, medical problems, family conflict, and relationship loss predicted suicide risk status in this particular sample. Individuals at suicide risk were also more likely to have a family physician than others. Implications of findings for identification and treatment of suicidal elders are discussed.

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OBJECTIVE: To examine the relationship between patient characteristics, processes of care, and risk of hospital mortality in rural intensive care units (ICU). DESIGN: Retrospective data analysis of ICU patients admitted to 19 rural Iowa hospitals between 1992 and 1994. SETTING: ICUs in rural Iowa hospitals. PATIENTS: ICU patients treated on mechanical ventilators meeting eligibility criteria. MEASUREMENTS AND MAIN RESULTS: Patient age (odds ratio = 1.03, p < .01), a higher Acute Physiology and Chronic Health Evaluation II score (odds ratio = 1.06, p < .01), and a longer pre-ICU length of stay (odds ratio = 1.14, p < .05) were associated with a higher risk of death. Seven processes of care were examined (i.e., laboratory work, nursing assessment, stress ulcer protection, immobilization protection, nutritional management, ventilator management, and weaning). Considerable variation was observed between hospitals in performance of processes of care. Controlling for patient characteristics, better performance in ulcer protection (odds ratio = 0.1, p < .05) and ventilator management (odds ratio = 0.03, p < .05) were related to lower risk of mortality. A model incorporating both patient characteristics and processes of care achieved higher predictive accuracy than a model containing only patient characteristics (area under the receiver operating characteristic curve: 0.80 vs. 0.70, p < .01). CONCLUSIONS: Most of the variation in mortality was explained by differences in patient physiologic and demographic characteristics at ICU admission. After adjusting for patient characteristics, better performance in some processes of care would have significant impact on reducing risk of mortality.

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The decision to recommend hospitalization for patients with psychiatric illness is often made on the basis of unknown reliability and validity. The purpose of this study was to examine the characteristics and reliability of self-reported psychiatric hospitalization decision making among staff at a Community Mental Health Center. Foremost among the results, the conditions that staff consider to be appropriate indicators of hospitalization show only modest reliability. Kappa interrater reliabilities of .10 to .60 persist across different staff types and different patient problems. Results from hypothetical cases support a micro-certainty, macro-uncertainty hypothesis: staff are highly confident in the appropriateness of their treatment recommendations, but the recommendations across staff are variable. The results empirically demonstrate the need to improve the reliability of the hospitalization decision, and to work towards valid outcomes-based hospitalization criteria.

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This article examines the applicability of a "report card" strategy as a means of differentiating among providers on the basis of performance. The specific focus is on the potential effect of differences in data collection processes on the meaningfulness of subsequent comparisons among similar types of providers. Variations in reported nosocomial infection rates are analyzed in light of differences in reported surveillance practices; data for similar nursing units are analyzed as well. Thirty-one rural, rural referral, and urban acute care hospitals in the midwest participated in the study. The reported nosocomial infection rates for different types of nursing units and different hospital groups varied substantially. Likewise, there were marked variations in the nosocomial infection surveillance practices at the hospitals, which were found to explain some of the variation in the reported nosocomial infection rates for specific types of nursing units and nosocomial infections. The study conclude that differences in data collection processes may result in incorrect conclusions about differences in the quality of care provided by various providers.

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This article describes the client characteristics and services needs of community-dwelling older adults found through a unique case-finding model developed at the Spokane Mental health Center. The model trains the employees of community businesses and corporations who work with the public to serve as community gatekeepers by identifying and referring community-dwelling older adults who may be in need of aging and/or mental health services. These community case-finders perform a gatekeeping function for older adults that is similar to that performed by schools and the workplace for younger persons. Information was collected on 777 individuals aged 60 and older referred over an 18-month period (January 1, 1994, to June 30, 1995) to the Spokane Mental Health Clinical Case Management Program in Spokane, Washington, which provides aging and mental health services to older adults residing in the county. Findings indicate that 40% of clients referred were found by community-based gatekeepers. Clients referred by gatekeepers were more frequently socially isolated, economically disadvantaged, and less likely to have a physician. Gatekeeper clients were also more likely to be women and to be younger than others referred to the agency. Gatekeeper clients were receiving fewer services at referral and were identified as needing more services at intake. Gatekeepers find a distinct population of community-dwelling older adults who are not found by more traditional referral sources. The need to integrate this model within a comprehensive clinical case management system is discussed.

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OBJECTIVES: The authors study the relationship between people's sense of community and problems they experience with the health-care system, specifically problems related to cost, access, provider choice, and satisfaction. METHODS: Data from a 1993 Florida poll (n = 1202) was used to conduct a multinomial logit analysis to estimate people's sense of community as a function of 13 characteristics and perceptions of community. Logit analysis was used to estimate the relationship between people's sense of community and their health-care experiences, controlling for other demographic influences, including insurance coverage and self-reported health status. RESULTS: Lower sense of community was significantly associated with higher levels of choice, cost, and satisfaction problems in people's interactions with the health-care sector. CONCLUSIONS: Community quality needs to be considered in efforts to improve the functional capabilities of health-care institutions.

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This paper presents strategies and empirical examples of comparative physician profiling under conditions of limited patient sample sizes and varying patient severity. A method by which clinical and cost outcomes may be evaluated simultaneously is also presented. Physician economic and clinical performance are compared using data abstracted from nine hospitals into the MedisGroups clinical information management system for inpatients treated from July, 1990 through June, 1992. The main outcome measures are comparative total and ancillary adjusted charges, and morbidity status. Results suggest that objective comparative outcome data provide useful information to assist in evaluating physician performance. A simultaneous comparison of clinical outcomes and adjusted charges identifies physicians who experience favorable outcomes at lower charges, as well as those who have higher charges and/or poorer outcomes. Strategies outlined in this paper may be of value to clinicians, governing boards, and third party payors. These strategies may be used to assist with privileging and other peer review activities when pursued proactively within a Continuous Quality Improvement framework to improve care.

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OBJECTIVE: This report describes the postdoctoral research training of faculty in departments of psychiatry and relates research training characteristics to current involvement in research. METHOD: Data were taken from a survey of 3,107 doctoral-level faculty in departments of psychiatry at 116 U.S. medical schools. The survey instrument gathered information about faculty members' postdoctoral research training and current research activities and elicited recommendations for research training programs. RESULTS: Of the survey respondents, 34.8% had had some form of postdoctoral research training. Most of those had trained in medical schools or intramural programs of the National Institutes of Health and federal institutes on alcoholism, drug abuse, and mental health. Most funding came from the federal government. Postdoctoral research training was significantly related to greater current research involvement across all degree types--M.D., Ph.D., and M.D.-Ph.D. Length of training was related to level of research involvement for M.D.s and Ph.D.s but not M.D.-Ph.D.s. Although most researchers believed their training programs prepared them for independent research, a smaller proportion of M.D.s than M.D.-Ph.D.s or Ph.D.s responded affirmatively to that question. Researchers were more likely than nonresearchers to consider their training adequate. Respondents rated time with mentor, course work in statistics, and length of training as the most important training program features. Both research training and research activities were concentrated in a relatively few institutions. CONCLUSIONS: These data show the critical importance of both federal support of research training and postdoctoral research training for subsequent research involvement of psychiatric faculty.

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This study investigated the extent to which mental illness and substance use hospitalization rates were related to the supply of psychiatric treatment services. Supply variables, notably the per capita rate of psychiatrists, primary care physicians, and specialty units, were strongly related to mental illness and substance use hospitalization rates to acute care hospitals across 114 small geographic areas in Iowa. The supply of outpatient services was not related to hospitalization rates. The need to study the reliability of patient assessment processes, refine guidelines and admissions criteria, and understand the contributions of supply variables to hospitalization rates are indicated by these results. A conceptual model is offered within which the dynamic cycle from patient functioning to service delivery may be framed.

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Population-based psychiatric admission rates vary across geographic areas, but reasons for this variation are unknown. Insofar as Community Mental Health Centers (CMHCs) provide outpatient services that may deter the need for hospitalization, the presence and structural characteristics of CMHCs may have an impact on a population's psychiatric admission rates. This study uses small area analysis to examine how general hospital psychiatric admission rates are associated with CMHC characteristics. Based on a survey of all CMHCs in Iowa and corresponding small area variation data, it was found that population admission rates were higher in areas closer to the CMHC and lower in outlying catchment areas, adjusting for age, sex, and urban/rural differences in populations. There was little evidence that differences in staffing and service variables influenced admission rates, although greater CMHC staff coverage by social workers and psychiatric residents was associated with lower admission rates. The results suggest that CMHCs do not lower an area's hospitalization rate, and in fact, the presence of CMHCs may promote a "supplier-induced demand" phenomenon of higher admissions.

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