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Biomedical subjects

Richard Scheffler

Publications and source records attributed to Richard Scheffler.

6 recordsLinked to original sources

Overcoming barriers to reducing the burden of affective disorders.

Affective disorders impose a substantial individual and societal burden. Despite availability of efficacious treatments and practice guidelines, unmet need remains high. To reduce unmet need and the burden of affective disorders, information is needed on the distribution of burden across stakeholders, on barriers to reducing burden, and on interventions that effectively reduce burden at the levels of practice, community, and policy. This article provides the report of the Working Group on Overcoming Barriers to Reducing the Burden of Affective Disorders, for the National Institute of Mental Health Strategic Plan on Mood Disorders. We review the literature, identify key gaps, and recommend new research to guide national efforts to reduce the burden of affective disorders.

Community Health Services↗

The impact of realignment on the client population in California's public mental health system.

This study examined whether decentralization of California's public mental health system under program realignment has changed the composition of the client population, with greater attention toward inclusion of persons with a severe mental illness. Clients' demographic and clinical status were compared before and after realignment. The study sample consisted of 75,951 clients, representing 1.5 million adults who accessed the public mental health services in California during a 6-year study period. The post-realignment client population had lower functional status, more unemployment, and lower levels of education-all indicating greater functional impairment. They were more likely to suffer from an affective disorder, but they were less likely to have either a non-psychotic disorder or schizophrenia. The study found no evidence suggesting that realignment jeopardized access to the public mental health system in California, and it indicated at least the possibility that it promoted greater access by clients with greater functional impairment.

Adolescent↗

Burden of illness.

The burden of affective disorders includes costs and the pain and suffering of affected individuls. Burden can be perceived from social and private perspectives. Although no ideal measure of burden exists, ample evidence documents the extensive cost and other negative impacts of affective disorders. Affective disorders are associated with disruptive family relations, higher health care costs for comorbid conditions, elevated rates of suicide, and lower productivity. Reserch should focus on improving measures of burden in general and on quantifying burden from the standpoint of diverse population groups.

Cost of Illness↗

Policy intervention.

This paper addresses market failure due to externalities, as well as information asymmetries and public policy problems that need to be solved to ensure high quality care for affective disorders. We delineate the problems in parity legislation, managed care, as well as Medicare and Medicaid that need to be addressed to reduce the burden of illness affective disorders. A research agenda is developed for formulating and implementing public policy.

Cost of Illness↗

Mental health costs and access under alternative capitation systems in Colorado.

OBJECTIVE: To examine service cost and access for persons with severe mental illness under Medicaid mental health capitation payment in Colorado. Capitation contracts were made with two organizational models: community mental health centers (CMHCs) that manage and deliver services (direct capitation [DC]) and joint ventures between CMHCs and a for-profit managed care firm (managed behavioral health organization, [MBHO]) and compared to fee for service (F.F.S.). DATA SOURCES/STUDY SETTING: Both primary and secondary data were collected for the year prior to the new financing policy and the following two years (1995-1998). STUDY DESIGN: A stratified random sample of 522 severely mentally ill subjects was selected from comparable geographic areas within the capitated and FFS regions of Colorado. Major variables include service cost, utilization, and access (probability of service use) derived from secondary claims data, subject reported access collected at six-month intervals, and baseline outcomes (symptoms, functioning, and quality of life). PRINCIPAL FINDINGS: In comparison to the FFS area, cost per person was reduced in the capitated areas in each of the two years following implementation. By the end of year two, cost per person was reduced by two-thirds in the MBHO areas and by one-fifth in the DC areas. Reductions in access were found for both capitated areas, although reductions in utilization for those receiving service were found only in the MBHO model. CONCLUSIONS: Medicaid mental health capitation in Colorado resulted in cost reducing service changes for persons with severe mental illness. Assessment of outcome change is necessary to identify cost effectiveness.

Adolescent↗

Mental health costs and outcomes under alternative capitation systems in Colorado: early results.

BACKGROUND: This study presents preliminary findings for the first nine months of the State of Colorado USA Medicaid capitation Pilot Project. Two different models of capitation (model I and model II) are compared with fee for service (FFS) in providing services to severely and persistently mentally ill adults. In model I the state's mental health authority contracts with community mental health centers (CMHCs) who both manage the care and deliver mental health services, while in model II the state contracted with a joint venture between a for-profit managed care firm who manage the care with either a single CMHC or an alliance of CMHCs who deliver the mental health services. AIMS: Our objective is to examine utilization, cost and outcomes of inpatient and outpatient (including community based) services before and after the implementation of a capitated payment system for Colorado's Medicaid mental health services compared to services that remained under FFS reimbursement. METHODS: The stratified, random sample includes 513 consumers (188 for model I, 179 for model II, and 146 for FFS). Consumer outcomes were collected by trained interviewers and include 17 measures of symptoms, health status, functioning, quality of life and consumer satisfaction. Utilization and cost of services are from the Medicaid claims data and a shadow billing data system (post-capitation) designed by Colorado. The first step of the two-step regression procedure adjusts for the presence of individuals with use or no service use during the specified time while the second step, ordinary least-squares regression, is applied to the sample who utilized services. RESULTS: These preliminary findings indicate consistent reductions in inpatient user costs and probability of outpatient use under capitation. Combining all services, there are consistent reductions in the probability of use in both models: model I had significantly higher initial probability of use for any service. Only model II showed a statistically significant decrease in post-capitation overall user costs, but they were initially higher than model I or FFS. Estimated total cost per person for model I suggests virtually no change from the pre- to post-capitation period. Model II had the highest pre-capitation and the lowest post-capitation estimated cost per person. Examination of pre measures of outcomes across capitated areas suggest that samples drawn from the FFS, model I and model II areas were comparable in severity of psychiatric symptoms, functioning, health status and quality of life. No changes were found in outcomes. DISCUSSION: These early findings are consistent with the limited literature on capitation. Both studies of capitation integrated with medical care and those specific to mental health settings did not find adverse changes in outcomes compared to FFS. Limitations include the short follow-up period, lack of detail and possible under-reporting of outpatient services provided by the shadow billing data system. CONCLUSIONS: For the short term, it is concluded that capitation can reduce service cost per person without significant change in clinical status. IMPLICATIONS FOR HEALTH CARE PROVISION AND USE: Implications are unclear until we can determine whether (i) reductions in the numbers receiving service indicates favorable consumer outcomes or reductions in access and (ii) lack of change in consumer outcomes is due to the benefits of capitation or the lack of sensitivity of the outcome measures. IMPLICATIONS FOR HEALTH CARE POLICY FORMULATION: Implications are premature for these early findings. IMPLICATIONS FOR FUTURE RESEARCH: Future research should include longer follow-up as well as analysis of long-term consequences for both cost savings and clinical outcomes.

Journal Article↗