Empirical evidence and psychotherapy: a growing scientific base.
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OBJECTIVE: The authors interviewed individuals treated for self-described mental health problems in the preceding year to examine patterns and predictors associated with dropping out of treatment. METHOD: Subjects were drawn from respondents to community epidemiological surveys carried out in representative samples of the United States and Ontario populations. Dropouts were those who had left mental health treatment during the prior year for reasons other than symptom improvement. The surveys also assessed potential dropout correlates: sociodemographic characteristics, attitudes about mental health care, disorder type, provider type, and treatment received. RESULTS: The proportion of dropouts did not significantly differ between the United States (19.2%) and Ontario (16.9%), nor did the effects of the predictors differ significantly between the two samples. Sociodemographic characteristics associated with treatment dropout included low income, young age, and, in the United States, lacking insurance coverage for mental health treatment. Patient attitudes associated with dropout included viewing mental health treatment as relatively ineffective and embarrassment about seeing a mental health provider. Respondents who received both medication and talk therapy were less likely to drop out than those who received single-modality treatments. CONCLUSIONS: Mental health treatment dropout is a serious problem, especially among patients who have low income, are young, lack insurance, are offered only single-modality treatments, and have negative attitudes about mental health care. Cost-effective interventions targeting these groups are needed to increase the proportion of patients who complete an adequate course of treatment.
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OBJECTIVE: This study assessed treatment rates and expenditures for behavioral health care by employers and behavioral health care patients in a large national database of employer-sponsored health insurance claims. METHOD: Insurance claims from 1996 from approximately 1.66 million individuals were examined. Average annual charges per person and payments for behavioral health care were calculated along with patient out-of-pocket expenses and inpatient hospital admission rates. Behavioral health care expenditures for bipolar disorder were compared to expenditures for other behavioral health care diagnoses in these same insurance plans. RESULTS: A total of 7.5% of all covered individuals filed a behavioral health care claim. Of those, 3.0% were identified as having bipolar disorder, but they accounted for 12.4% of total plan expenditures. Patients with bipolar disorder incurred annual out-of-pocket expenses of $568, more than double the $232 out-of-pocket expenses incurred by all claimants. The inpatient hospital admission rate for patients with bipolar disorder was also higher (39.1%) compared to 4.5% for all other behavioral health care claimants. Furthermore, annual insurance payments were higher for covered medical services for individuals with bipolar disorder than for patients with other behavioral health care diagnoses. CONCLUSIONS: Bipolar disorder is the most expensive behavioral health care diagnosis, both for patients with bipolar disorder and for their insurance plans. For every behavioral health care dollar spent on outpatient care for patients with bipolar disorder, $1.80 is spent on inpatient care, suggesting that better prevention management could decrease the financial burden of bipolar disorder.
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OBJECTIVE: This study examined the methodological difficulties of comparing quality of care in large health care systems. It demonstrated methods for measuring quality of mental health care and, using these measures, compared patients from Department of Veterans Affairs (VA) hospitals with privately insured patients. METHODS: Individuals receiving VA inpatient mental health care during the first six months of each fiscal year from 1993 to 1997 were identified from discharge abstracts. A similar cohort of privately insured individuals was identified using MEDSTAT's MarketScan database from 1993 to 1995. Individuals in both cohorts were tracked for six months after discharge. Length of stay, readmission rates, and access to outpatient services were calculated. RESULTS: The private sector outperformed VA on most quality measures, although differences were modest and can likely be explained by the greater severity of illness and social disadvantages of VA patients. Readmission rates increased considerably over time in the private sector, whereas they declined for VA patients. Quality measures varied by diagnosis, with VA performing better than the private sector in treating patients diagnosed with substance abuse and mental disorders not elsewhere classified but worse in treating patients diagnosed with depression. CONCLUSIONS: Although the private sector modestly outperformed VA on most quality measures, VA treats a more troubled population, and it improved markedly over time compared with the private sector. As health systems strive to reduce costs of care, methods for comparing and evaluating the quality of care become increasingly important. However, methodological challenges remain substantial.
OBJECTIVE: This study examined the prevalence and nature of behavioral health carve-out contracts among Fortune 500 firms in 1997. METHODS: A survey was conducted of 498 companies that were listed as Fortune 500 firms in 1994 or 1995. A total of 336 firms (68 percent) responded to the survey. Univariate analyses were used to analyze prevalence, types, and amounts of covered services, cost sharing, and benefit limits. A total of 132 firms reported contracting with managed behavioral health organizations; 124 firms answered benefits questions about covered services, cost-sharing levels, and annual and lifetime limits. RESULTS: Most of the plans covered a broad range of services. Cost sharing was typically required, and for inpatient care it was often substantial. Fifteen percent of the firms offered mental health benefits that were below the limits defined in this study as minimal benefit levels, and 34 percent offered substance abuse treatment benefits that fell below minimal levels. The most generous mental health benefits and substance abuse treatment benefits, defined as no limits or a lifetime limit only of $1 million or more, were offered by 31 percent and 20 percent of the firms, respectively. CONCLUSIONS: The carve-out contracts of the Fortune 500 firms in this study typically covered a wide range of services, and the benefits appeared generous relative to those reported for other integrated and carve-out plans. However, these benefits generally did not reach the level of parity with typical medical benefits, nor did they fully protect enrollees from the risk of catastrophic expenditures.
OBJECTIVE: The goal of this study was to describe the physical and behavioral health benefits of a representative community-based sample of at-risk drinkers potentially in need of behavioral health services. METHODS: A screening instrument for at-risk drinking was administered by telephone to a random community sample of more than 12,000 adults. A telephone interview was conducted with the health plans of 294 at-risk drinkers who were insured and who consented to the release of their insurance records to collect information about supply-side cost-containment strategies (for example, gatekeeping and restrictions on choice of provider), and demand-side cost-containment strategies (for example, deductibles, limits, coinsurance, and copayments). Information about health plan characteristics was successfully collected for 217 (72 percent) of the insured at-risk drinkers, representing 113 different health plans and 206 different policies. RESULTS: Both provider choice restrictions and gatekeeping were more likely to be used for behavioral health care than for physical health care. Greater cost-sharing for mental health than for physical health was most often achieved by using additional limits (83 percent) and higher coinsurance (66 percent) and less often achieved by using higher copayments (38 percent) and additional deductibles (13 percent). The greater cost-sharing for behavioral health amounted to a 30 percent ($42) difference in annual out-of-pocket costs for an average user of behavioral health services compared with full parity. CONCLUSIONS: The results provide information to advocacy groups and policy makers about how much equalization would have to occur in the insurance market before full parity could be achieved between physical health and behavioral health benefits for a population of individuals potentially in need of behavioral health services.
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People with chronic mental disorders may be at risk of reduced access to medical treatment and poor quality of medical care. The authors examined receipt of and barriers to medical treatment among patients at a community mental health center. Fifty-nine patients completed a validated instrument for measuring access to medical care and the quality of primary care. Their responses indicated problems with access to care, and their scores were significantly lower than those of the general population on all four domains used to assess the quality of primary medical care. The findings suggest the need for community mental health centers to better assess and address barriers to primary medical care.
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OBJECTIVE: Despite the existence of effective and relatively cost-effective depression treatments, many depressed patients do not receive appropriate care. The authors assessed opportunities for increasing the rate of effective depression treatment by investigating the market for such treatment in the Pittsburgh area. METHODS: A conceptual framework was developed to evaluate the market for effective depression care. On the basis of the conceptual framework, interviews were conducted with representatives from seven large employers, two medical health insurance carriers, two behavioral health insurance carriers, four primary care providers, and four behavioral health care providers. Respondents were asked to assess the barriers to and opportunities for increasing the rates of depression treatment from their perspectives. RESULTS: The findings suggest that there is currently little demand among purchasers for improving depression care and little interest among insurers and providers for improving care in the absence of purchaser demand. Even stakeholders who identified depression as an important problem could not come to a consensus about who should be responsible for addressing the problem. Employers reported that they look primarily to their vendors to initiate quality improvement efforts, whereas insurers reported that such improvement efforts were more likely to occur if they were initiated by employers who purchase their health plans; providers, in turn, reported feeling powerless to initiate change. CONCLUSIONS: The absence of a clear locus of responsibility for improving depression care lends considerable inertia to the status quo. Because the currently low treatment rates are likely to be socially inefficient, researchers and policy makers should consider strategies to help overcome this inertia.
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The costs associated with mental illness in Taiwan have been the subject of discussion and concern in Taiwan's Bureau of National Health Insurance. The authors report the first estimates of these costs on the basis of national data for 52,432 patients treated in 1999. Total schizophrenia-related health care expenditure was estimated at 112.4 million dollars, which constituted 1.2 percent of national health care expenditures that year. The cost per outpatient visit was 57 dollars, the cost per admission was 1,123 dollars, and the annual average direct cost of treating a person with schizophrenia was 2,144 dollars.
The one-year prevalence of use of psychotropic medications among youths enrolled in a Mid-Atlantic State Children's Insurance Program (SCHIP) in 1999 or 2000 was compared with the 1998-2000 prevalence findings for youths enrolled in four large multistate private medical insurance programs. Prevalence was significantly higher among youths enrolled in the SCHIP than among those with private insurance in all eight medication group comparisons. Unlike private insurance, the surveyed state SCHIP program did not require a copayment or have a restrictive formulary. These administrative differences may partly explain the comparatively higher rate of psychotropic use under the SCHIP.
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