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PubMed2006

The effect of complementary and alternative medicine claims on risk adjustment.

OBJECTIVE: We sought to assess how the inclusion of claims from complementary and alternative medicine (CAM) providers affects measures of morbidity burden and expectations of health care resource use for insured patients. METHODS: Claims data from Washington State were used to create 2 versions of a case-mix index. One version included claims from all provider types; the second version omitted claims from CAM providers who are covered under commercial insurance. Expected resource use was also calculated. The distribution of expected and actual resource use was then compared for the 2 indices. RESULTS: Inclusion of claims from CAM providers shifted 19,650 (32%) CAM users into higher morbidity categories. When morbidity categories were defined using claims from all providers, CAM users in the highest morbidity category had average (+/-SD) annual expenditures of $6661 (+/-$13,863). This was less than those in the highest morbidity category when CAM provider claims were not included in the index ($8562 +/- $16,354), and was also lower than the highest morbidity patients who did not use any CAM services ($8419 +/- $18,885). CONCLUSIONS: Inclusion of services from CAM providers under third-party payment increases risk scores for their patients but expectations of costs for this group are lower than expected had costs been estimated based only on services from traditional providers. Risk adjustment indices may need recalibration when adding services from provider groups not included in the development of the index.

Adolescent↗
PubMed2007

Outpatient mental health utilization among commercially insured individuals: in- and out-of-network care.

OBJECTIVE: This study examined the rates and correlates of out-of-network outpatient mental health specialty care. RESEARCH DESIGN: Using administrative data from a large insurer, we examine the frequency of out-of-network utilization, analyze demographic and clinical characteristics of individuals receiving out-of-network care, and examine the types of service provided out-of-network. RESULTS: Out-of-network outpatient mental health care was received by 15.4% of adults who used outpatient mental health services, with 11.8% of adult outpatient mental health users receiving only out-of-network care and 3.6% receiving both in-network and out-of-network care. Out-of-network users received significantly more outpatient mental health care than individuals receiving only in-network mental health care. Rates of out-of-network psychotherapy services were substantially greater than for other commonly provided mental health services. CONCLUSION: A significant number of patients covered under this insurer received their outpatient mental health care out-of-network. This is most pronounced for individuals receiving psychotherapy. Further information is needed to improve our understanding of who seeks care from out-of-network providers and why as well as the effect of such care on clinical outcomes.

Adolescent↗
PubMed2007

The effect of screening and brief intervention for risky drinking on health care utilization in managed care organizations.

OBJECTIVE: We sought to estimate the effect of screening and brief intervention (SBI) for risky alcohol use on the health care utilization of risky drinkers in 4 managed care organizations. RESEARCH DESIGN: A quasi-experimental group design was implemented in which 12 participating primary care clinics randomly were assigned to 1 of 3 study conditions. In one condition, physicians, physician assistants, and nurse practitioners delivered the brief intervention. In another condition, midlevel professionals (usually nurses) performed the brief intervention. In the third condition, SBI was not performed. Using administrative claims data, we estimated the effect of SBI on individual-level annual days of total and inpatient health care utilization; annual outpatient visits; annual emergency room visits; and annual visits related to alcohol, drug, or mental health conditions. Negative binomial regression models were used to control for other factors that may affect health care utilization. RESULTS: Across all categories of care, the pre- to postintervention change in average health care utilization among risky drinkers in the intervention clinics was not significantly different from that of risky drinkers in the comparison clinics. CONCLUSIONS: Our findings suggest that there is no effect of SBI on the health care utilization of risky drinkers in the year following the intervention. Although SBI does not appear to reduce health care utilization, previous studies find that it significantly reduces the alcohol consumption of risky drinkers. Because these reductions presumably improve patients' overall health and well-being, managed care organizations may still find it beneficial to implement SBI on a broad scale.

Adult↗
PubMed2004

Rate and predictors of new genital warts claims and genital warts-related healthcare utilization among privately insured patients in the United States.

BACKGROUND: Little non-clinic-based data are available on incident genital warts rates and related healthcare use. GOAL: : The goal of this study was to describe the incidence and predictors of genital warts and associated healthcare utilization patterns among a group of privately insured patients in the United States. STUDY: Health claims were evaluated prospectively from 5,914,107 privately insured individuals. RESULTS: The rate of new genital warts claims per 100,000 person-years at risk, age-standardized to the 2001 U.S. privately insured population, increased from 117.8 in 1998 to 205.0 in 2001. The highest rates were among 20- to 29-year-olds. The majority of claims came from dermatology and obstetrics/gynecology. CONCLUSIONS: The incidence of genital warts, as measured by the rate of new claims, appears to be rising. Age associations with the rate of new genital warts claims differed by gender; these associations may be influenced by changes in health-seeking behavior, potentially driven by health awareness.

Adolescent↗
PubMed2004

Tales of greed.

Explore the source record for details and available documents.

Ethics, Medical↗
PubMed2005

Medicare beneficiaries and the impact of gaining prescription drug coverage on inpatient and physician spending.

OBJECTIVE: To assess whether gaining prescription drug coverage produces cost offsets in Medicare spending on inpatient and physician services. DATA SOURCE: Two-year panels constructed from 1995 to 2000 Medicare Current Beneficiary Survey, a dataset of Medicare claims and health care surveys from the Medicare population. STUDY DESIGN: We estimated a series of fixed-effects panel models to calculate adjusted changes in Medicare spending as drug coverage was acquired (Gainers) relative to the spending of beneficiaries who never had drug coverage (Nevers). Explanatory variables in the model include age, calendar year, income, and health status. PRINCIPAL FINDINGS: Assessments of inpatient and physician services spending provided no evidence of overt selection behavior prior to the acquisition of drug coverage (i.e., there were no preswitch spikes in Medicare spending for Gainers). After enrollment, the medical spending of Gainers resembled those of beneficiaries who never had drug coverage. Overall, the multivariate models showed no systematic postenrollment changes in either inpatient or physician spending that could be attributed to the acquisition of drug coverage. CONCLUSIONS: We found no consistent evidence that drug coverage either increases or reduces spending for hospital and physician services. This does not necessarily mean that drug therapy does not substitute for or complement other medical treatments, but rather that neither effect predominates across the Medicare population as a whole.

Aged↗
PubMed2006

How much risk pooling is there in the individual insurance market?

OBJECTIVE: To examine how much pooling of risks occurs among potential purchasers in the individual market, how much pooling occurs among those who purchase coverage, and whether there is greater pooling among longer-term enrollees. DATA SOURCES: The data are administrative records for enrollees in individual insurance plans in California in 2001, and from a survey of Californians enrolled in the individual insurance market and the uninsured. STUDY DESIGN: Logit models were estimated for 5 health outcome measures to compare the insured and uninsured after adjusting for other factors that affect insurance status and health. Multivariate models were also estimated to explore the relationship between health and three measures of pooling in the market: plan type, pricing tier, and the actuarially adjusted premium paid by the enrollee. PRINCIPAL FINDINGS: Those who purchase individual health insurance are in better health than those who remain uninsured. On the other hand, a large share of people with health problems does obtain individual insurance. The distribution of subscribers across plan type and pricing tier varies with their health status. Those in poor health are less likely to purchase low benefit plans. There is less separation of risks for those who become sick after enrollment based on the measure of pricing tier. The distribution of subscribers across plan type for those who have health problems at enrollment and those who become sick differs, but so does the distribution of those who become sick and those who remain healthy. CONCLUSIONS: Despite small differences among the healthy and sick, our results support the conclusion that there is considerable risk pooling in the individual market. To some extent, this pooling occurs because underwriting happens at the time people enroll and there is greater pooling among those who become sick than those who enroll sick. Our results however suggest that health savings accounts may further fragment the market.

California↗
PubMed2006

Impact of alternative interventions on changes in generic dispensing rates.

OBJECTIVES: To evaluate the effectiveness of four alternative interventions (member mailings, advertising campaigns, free generic drug samples to physicians, and physician financial incentives) used by a major health insurer to encourage its members to switch to generic drugs. METHODS: Using claim-level data from Blue Cross Blue Shield of Michigan, we evaluated the success of four interventions implemented during 2000-2003 designed to increase the use of generic drugs among its members. Around 13 million claims involving seven important classes of drugs were used to assess the effectiveness of the interventions. For each intervention a control group was developed that most closely resembled the corresponding intervention group. Logistic regression models with interaction effects between the treatment group (intervention versus control) and the status of the intervention (active versus not active) were used to evaluate if the interventions had an effect on the generic dispensing rate (GDR). Because the mail order pharmacy was considered more aggressive at converting prescriptions to generics, separate generic purchasing models were fitted to retail and mail order claims. In secondary analyses separate models were also fitted to claims involving a new condition and claims refilled for preexisting conditions. RESULTS: The interventions did not appear to increase the market penetration of generic drugs for either retail or mail order claims, or for claims involving new or preexisting conditions. In addition, we found that the ratio of copayments for brand name to generic drugs had a large positive effect on the GDR. CONCLUSIONS: The interventions did not appear to directly influence the GDR. Financial incentives expressed to consumers through benefit designs have a large influence on their switching to generic drugs and on the less-costly mail-order mode of purchase.

Advertising↗
PubMed2004

Using insurance claims and demographic data for surveillance of children's oral health.

OBJECTIVES: This paper examines the utility of using private insurance and Medicaid dental claims as well as demographic data for assessing the oral health of children aged 5-12 years in Genesee County, Michigan, communities. METHODS: Dental insurance claims data from Delta Plan of Michigan and Michigan Medicaid, plus demographic data from the 1990 US Census (percent poverty) and from the 1995 National Center for Educational Statistics (percent free or reduced lunch eligibility), were compared to findings from two school-based oral health surveys. These surveys were the 1995 Genesee County Oral Health Survey and the 1998-2001 Mott Children's Health Center oral health screenings. Data were analyzed using zip codes, representing communities, as the comparison unit. Statistical comparisons using correlation coefficients were used to compare the findings from the six data sets. RESULTS: Using the insurance claims and school-based data, some communities consistently demonstrated high levels of dental caries or treatment for the primary dentition. The demographic measures were significantly associated with many of the primary dentition survey measures. The demographic data were more useful in identifying communities with high levels of dental disease, particularly in the primary teeth, than the insurance claims data. CONCLUSIONS: When screening is not practical, readily available demographic data may provide valuable oral health surveillance information for identification of high-risk communities, but these data do not identify high-risk individuals. In these analyses, demographic data were more useful than dental insurance claims data for oral health surveillance purposes.

Child↗
PubMedDate not supplied

Record linkage of health care insurance claims.

OBJECTIVE: This paper provides a detailed description of a method developed for purposes of linking records of individual patients, represented in diverse data sets, across time and geography. DESIGN: The procedure for record linkage has three major components-data standardization, weight estimation, and matching. The proposed method was designed to incorporate a combination of exact and probabilistic matching techniques. MEASUREMENTS: The procedure was validated using convergent, divergent, and criterion validity measures. RESULTS: The output of the process achieved a sensitivity of 92 percent and a specificity that approached 100 percent. CONCLUSIONS: The procedure is a first step in addressing the current trend toward larger and more complex databases.

Humans↗
PubMed1999

Shifting to outpatient care? Mental health care use and cost under private insurance.

OBJECTIVE: Concern over rising health care costs has put pressure on providers to reduce costs, purportedly by reducing inpatient care and increasing outpatient care. METHOD: Inpatient and outpatient claims were analyzed for adult users of mental health services (180,000/year on average) from a national study group of 3.9 million privately insured individuals per year from 1993 to 1995. Costs and treatment days per patient were compared across diagnostic groups and stratified by whether patients were hospitalized. RESULTS: Inpatient mental health costs fell $2,507 (30.4%) over the period, driven primarily by decreases in hospital days per patient per year (19.9%), with smaller changes in the proportion of enrollees who received inpatient care (increase of 0.8%) and a decrease in per diem costs (9.1%). Outpatient mental health costs also declined over the period, falling 13.6% for patients also using inpatient services and 14.6% for patients receiving only outpatient care. Patients whose primary diagnosis was mild to moderate depression saw the largest decreases in inpatient cost per patient (42.8%); those diagnosed with schizophrenia experienced the smallest decrease (23.5%). For patients using outpatient services only, those diagnosed with substance abuse experienced the largest decrease in costs (23.5%); those diagnosed with schizophrenia experienced the smallest decrease (8.6%). CONCLUSIONS: Substantial cost reductions for mental health services are primarily a result of reductions in inpatient and outpatient treatment days. Declines in inpatient service use were not accompanied by increases in outpatient service use, even for severely ill patients requiring hospitalization. Managed care has not caused a shift in the pattern of care but an overall reduction of care.

Adolescent↗
PubMed2003

Insurance expenditures on bipolar disorder: clinical and parity implications.

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.

Adult↗
PubMed1991

Hospital response variation to the demands of preadmission certification.

This paper reports findings from a study of the impact of preadmission certification programs from the perspective of the hospital--a deeply affected party. A series of field studies was undertaken to explore and delineate the range of hospital responses to the challenges posed by this third-party payer mandate and to identify factors associated with variation in responses. The evidence presented suggests wide variation in how hospitals chose to share responsibility for pre-certification with physicians and patients. The findings are broadly consistent with a proposed model that hospital response is determined by both external and internal considerations, but a larger scale hospital survey is necessary to test the hypotheses that can be derived from this study.

Admitting Department, Hospital↗