Five laws for integrating medical and social services: lessons from the United States and the United Kingdom. (17/1973)

Because persons with disabilities (PWDs) use health and social services extensively, both the United States and the United Kingdom have begun to integrate care across systems. Initiatives in these two countries are examined within the context of the reality that personal needs and use of systems differ by age and by type and severity of disability. The lessons derived from this scrutiny are presented in the form of five "laws" of integration. These laws identify three levels of integration, point to alternative roles for physicians, outline resource requirements, highlight friction from differing medical and social paradigms, and urge policy makers and administrators to consider carefully who would be most appropriately selected to design, oversee, and administer integration initiatives. Both users and caregivers must be involved in planning to ensure that all three levels of integration are attended to and that the borders between medical and other systems are clarified.  (+info)

Out-of-pocket health spending by poor and near-poor elderly Medicare beneficiaries. (18/1973)

OBJECTIVE: To estimate out-of-pocket health care spending by lower-income Medicare beneficiaries, and to examine spending variations between those who receive Medicaid assistance and those who do not receive such aid. DATA SOURCES AND COLLECTION: 1993 Medicare Current Beneficiary Survey (MCBS) Cost and Use files, supplemented with data from the Bureau of the Census (Current Population Survey); the Congressional Budget Office; the Health Care Financing Administration, Office of the Actuary (National Health Accounts); and the Social Security Administration. STUDY DESIGN: We analyzed out-of-pocket spending through a Medicare Benefits Simulation model, which projects out-of-pocket health care spending from the 1993 MCBS to 1997. Out-of-pocket health care spending is defined to include Medicare deductibles and coinsurance; premiums for private insurance, Medicare Part B, and Medicare HMOs; payments for non-covered goods and services; and balance billing by physicians. It excludes the costs of home care and nursing facility services, as well as indirect tax payments toward health care financing. PRINCIPAL FINDINGS: Almost 60 percent of beneficiaries with incomes below the poverty level did not receive Medicaid assistance in 1997. We estimate that these beneficiaries spent, on average, about half their income out-of-pocket for health care, whether they were enrolled in a Medicare HMO or in the traditional fee-for-service program. The 75 percent of beneficiaries with incomes between 100 and 125 percent of the poverty level who were not enrolled in Medicaid spent an estimated 30 percent of their income out-of-pocket on health care if they were in the traditional program and about 23 percent of their income if they were enrolled in a Medicare HMO. Average out-of-pocket spending among fee-for-service beneficiaries varied depending on whether beneficiaries had Medigap policies, employer-provided supplemental insurance, or no supplemental coverage. Those without supplemental coverage spent more on health care goods and services, but spent less than the other groups on prescription drugs and dental care-services not covered by Medicare. CONCLUSIONS: While Medicaid provides substantial protection for some lower-income Medicare beneficiaries, out-of-pocket health care spending continues to be a substantial burden for most of this population. Medicare reform discussions that focus on shifting more costs to beneficiaries should take into account the dramatic costs of health care already faced by this vulnerable population.  (+info)

Pressures on safety net access: the level of managed care penetration and uninsurance rate in a community. (19/1973)

OBJECTIVE: To examine the effects of managed care penetration and the uninsurance rate in an area on access to care of low-income uninsured persons and to compare differences in access between low-income insured and uninsured persons across these different market areas. DATA SOURCES: Primarily the Community Tracking Study household survey. Other market-level data were obtained from the Community Tracking Study physician survey, American Hospital Association annual survey of hospitals, Area Resource File, HCFA Administrative Data, Bureau of Primary Care data on Community Health Centers. STUDY DESIGN: Individuals are grouped based on the level of managed care penetration and uninsurance rate in the site where they reside. Measures of managed care include overall managed care penetration in the site, and the level of Medicaid managed care penetration in the state. Uninsurance rate is defined as the percentage of people uninsured in the site. Measures of access include the percentage with a usual source of care, percentage with any ambulatory care use, and percentage of persons who reported unmet medical care needs. Estimates are adjusted to control for other confounding factors, including both individual and market-level characteristics. DATA COLLECTION: A survey, primarily telephoned, of households concentrated in 60 sites, defined as metropolitan statistical areas and nonmetropolitan areas. PRINCIPAL FINDINGS: Access to care for low-income uninsured persons is lower in states with high Medicaid managed care penetration, compared to uninsured persons in states with low Medicaid managed care penetration. Access to care for low-income uninsured persons is also lower in areas with high uninsurance rates. The "access gap" (differences in access between insured and uninsured persons) is also larger in areas with high Medicaid managed care penetration and areas with high uninsurance rates. CONCLUSIONS: Efforts to achieve cost savings under managed care may result in financial pressures that limit cross-subsidization of care to the medically indigent, particularly for those providers who are heavily dependent on Medicaid revenue. High demand for care (as reflected in high uninsurance rates) may further strain limited resources for indigent care, further limiting access to care for uninsured persons.  (+info)

A conflict of strategies: Medicaid managed care and Medicaid maximization. (20/1973)

OBJECTIVE: To examine the influence of state strategies aimed at increasing federal Medicaid matching dollars on the design of states' Medicaid managed care programs. STUDY DESIGN: Data obtained from the 1996-1997 case studies of 13 states to examine how states have adapted the design of their Medicaid managed care programs in part because of maximization strategies, to accommodate the many roles and responsibilities that Medicaid has assumed over the years. PRINCIPAL FINDINGS: Our study showed that as states made the shift to managed care, some found that the responsibilities undertaken in part through maximization strategies proved to be in conflict with their Medicaid managed care initiatives. Among other things, the study revealed that most states included provisions that preserved the health care safety net, such as adapting the managed care benefit package and promoting the participation of safety net providers in managed care programs. In addition, most of the study states continued to pay special subsidies to safety net providers, including hospitals and clinics. CONCLUSIONS: States have made real progress in moving a large number of Medicaid beneficiaries into managed care. At the same time, many states have specially crafted their managed care programs to accommodate safety net providers and existing funding mechanisms. By making these adaptations states, in the long run, may compromise the central goals of managed care: controlling costs and improving Medicaid beneficiaries' access to and quality of care.  (+info)

Effect of insurance coverage on the relationship between asthma hospitalizations and exposure to air pollution. (21/1973)

OBJECTIVE: Based on the assumption that people without health insurance have limited access to the primary care services needed to prevent unnecessary hospitalizations for asthma, the authors hypothesized that insurance is a factor in the strength of the association between hospital admissions for asthma and exposure to air pollution. They tested this hypothesis with 1991-1994 data from central Los Angeles. METHODS: The authors analyzed the effect of insurance status on the association between asthma-related hospital admissions and exposure to atmospheric particulates (PM10) and ozone (O3) using hospital discharge and air quality data for 1991-1994 for central Los Angeles. They used regression techniques with weighted moving averages (simulating distributed lag structures) to measure the effects of exposure on overall hospital admissions, admissions of uninsured patients, admissions for which MediCal (California Medicaid) was the primary payer, and admissions for which the primary payer was another government or private health insurance program. RESULTS: No associations were found between asthma admissions and O3 exposure. An estimated increase from 1991 to 1994 of 50 micrograms per cubic meter in PM10 concentrations averaged over eight days was associated with an increase of 21.0% in the number of asthma admissions. An even stronger increase--27.4%--was noted among MediCal asthma admissions. CONCLUSIONS: The authors conclude that low family income, as indicated by MediCal coverage, is a better predictor of asthma exacerbations associated with air pollution than lack of insurance and, by implication, a better predictor of insufficient access to primary care.  (+info)

The adoption of provider-based rural health clinics by rural hospitals: a study of market and institutional forces. (22/1973)

OBJECTIVE: To examine the response of rural hospitals to various market and organizational signals by determining the factors that influence whether or not they establish a provider-based rural health clinic (RHC) (a joint Medicare/Medicaid program). DATA SOURCES/STUDY SETTING: Several secondary sources for 1989-1995: the AHA Annual Survey, the PPS Minimum Data Set and a list of RHCs from HCFA, the Area Resource File, and professional associations. The analysis includes all general medical/surgical rural hospitals operating in the United States during the study period. STUDY DESIGN: A longitudinal design and pooled cross-sectional data were used, with the rural hospital as the unit of analysis. Key variables were examined as sets and include measures of competitive pressures (e.g., hospital market share), physician resources, nurse practitioner/physician assistant (NP/PA) practice regulation, hospital performance pressures (e.g., operating margin), innovativeness, and institutional pressure (i.e., the cumulative force of adoption). PRINCIPAL FINDINGS: Adoption of provider-based RHCs by rural hospitals appears to be motivated less as an adaptive response to observable economic or internal organizational signals than as a reaction to bandwagon pressures. CONCLUSIONS: Rural hospitals with limited resources may resort to imitating others because of uncertainty or a limited ability to fully evaluate strategic activities. This can result in actions or behaviors that are not consistent with policy objectives and the perceived need for policy changes. Such activity in turn could have a negative effect on some providers and some rural residents.  (+info)

Using feedback letters to influence the use of antiulcer agents in a Medicaid program. (23/1973)

OBJECTIVE: To determine the impact of printed patient-specific feedback regarding potential misprescribing of antiulcer agents (AUAs). Measures of impact included improvements in patients' dispensing profiles, assessed according to predetermined criteria, and decreases in cost and quantity of AUAs dispensed. DESIGN: Controlled study. After evaluation for compliance with predetermined criteria, prescribers identified as having one or two patient profiles with potential errors were assigned alternatively to control or experimental groups. An intervention was mailed to the experimental group. SETTING: Outpatient setting in the New Mexico Medicaid population. PARTICIPANTS: Patients and prescribers identified as having potential misprescribing of AUAs. INTERVENTION: The intervention consisted of a cover letter describing the purpose of the drug utilization review program, an educational fact sheet regarding prescribing AUAs, patient profiles with potential misprescribing, and physician response forms. MEASUREMENTS AND MAIN RESULTS: There were greater improvements in dispensing to patients in the intervention group (chi2, p <.001). Significant odds ratios for the intervention group were 2.29 for AUAs discontinued, 1.98 for all improvements combined, 13.13 for improvement in listing of proper diagnosis for AUAs, and 2.84 for appropriate indication when prescribing the higher acute daily dosage. Using data from 3 months before and after the intervention, we found greater decreases in mean monthly costs (p =.044) and mean monthly quantity of AUAs dispensed (p =.049) in the intervention group. CONCLUSIONS: This intervention significantly decreased AUA dispensing to patients whose prescribers were mailed the patient-specific feedback intervention.  (+info)

Weekly patterns of drug treatment attendance. (24/1973)

OBJECTIVES: This study examined weekly patterns of drug treatment attendance in relation to date of welfare payment receipt and reason for treatment absence. METHODS: Treatment attendance by Medicaid-eligible pregnant women who were drug dependent was examined by calendar week over a 29-month period. RESULTS: Time series analyses showed that attendance was lower during week 1 than week 4. Drug use was the most frequently reported reason for treatment absence during week 1 (25%) but was not reported as a reason during week 3. CONCLUSIONS: Drug-dependent outpatients had increased absences associated with illicit drug use during the first week of the month when welfare payments were received. The generalizability of the findings is unknown.  (+info)