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PubMed1995

Private payers of health care in Brazil: characteristics, costs and coverage.

The private sector is the predominant provider of health care in Brazil, particularly for inpatient services, and financing is a mix of public (through a prospective reimbursement system) and private. Roughly a quarter of the population has private insurance coverage, reflecting rapid growth in the past decade fuelled by the crisis in the public reimbursement system and the perceived deterioration of publicly provided care. Four major forms of insurance exist: (1) prepaid group practice; (2) medical cooperatives, physician owned and operated preferred provider organizations; (3) company health plans where employers ensure employee access to services under various types of arrangements from direct provision to purchasing of private services; and (4) health indemnity insurance. Each type of plan includes a wide variety of subplans from basic individual/family coverage to comprehensive executive coverage. The paper discusses the characteristics, costs and utilization patterns of all types of privately financed care, as well as the major problems associated with private financing: the limited package of benefits and low payout ceilings, inadequate consumer information and virtually no regulation.

Brazil↗
PubMed1970

Third party payers.

Explore the source record for details and available documents.

Insurance, Health↗
PubMed2001

Payer status: the unspoken triage criterion.

BACKGROUND: The cost of uncompensated trauma care is a significant barrier to trauma system development. Trauma center designation may burden an institution with an unprofitable mix of underinsured, severely injured patients. Concerns about inadequate reimbursement may motivate interhospital transfers on the basis of insurance status rather than medical necessity, potentially undermining the effectiveness of the system. We set out to explore whether this phenomenon exists in a mature trauma system. METHODS: Trauma patients receiving definitive care at Level III or IV trauma centers were compared with patients transferred from these centers to the only Level I regional center. Insurance status was classified as either commercial or noncommercial. Logistic regression was used to determine the independent predictors of transfer after adjusting for differences in injury severity. RESULTS: Only 12% of 2,008 patients initially evaluated at Level III/IV centers were transferred to the Level I center, an indicator of the effectiveness of prehospital triage protocols in the region. The presence of specific complex injuries, younger age, male gender, and insurance status were all associated with an increased likelihood of transfer. Insurance status was an independent predictor of transfer: patients without commercial insurance were 2.4 (95% confidence interval, 1.6-3.6) times more likely to be transferred to a Level I facility than patients with commercial insurance after adjusting for differences in injury severity. CONCLUSION: Insurance status influences the decision to transfer to higher levels of care. These findings suggest that the financial burden of a trauma system may be inequitably distributed. This inequitable distribution may be necessary for trauma system sustainability and calls for the development of disproportionate reimbursement strategies to support regional referral centers.

Adolescent↗
PubMedDate not supplied

The contribution of hospital volume, payer status, and other factors on the surgical outcomes of scoliosis patients: a review of 3,606 cases in the State of California.

While volume/outcomes relationships have been shown for several areas of orthopaedics, previous studies have not examined this relationship in the area of scoliosis surgery. The Office of Statewide Planning and Development (OSHPD) California inpatient discharge database was used for a retrospective review of all patients 25 years of age or younger with a diagnosis of scoliosis and a spinal fusion procedure from 1995 to 1999 (n = 3,606). Univariate and multivariate analyses were conducted to determine the effect of various factors on in-hospital mortality, surgical complications, reoperations, and length of stay (LOS). Univariate analyses revealed significant effects of age, sex, illness severity, neuromuscular disease, surgical approach, Medicaid status, and annual hospital volume on outcomes (P < 0.05). After controlling for these factors using multivariate regression, patients insured by Medicaid were found to have a significantly greater odds for complications (P = 0.017) and a significantly increased LOS (P < 0.001) compared with patients with all other sources of payment. Additionally, multivariate regression revealed an inverse relationship between annual hospital volume and likelihood of reoperation, as patients treated at hospitals with annual volumes of 5.1 to 25.0, 25.1 to 50.0, and greater than 50.0 spinal fusions all had approximately half the odds of reoperation (P = 0.042, P = 0.004, and P = 0.028 respectively) as patients treated at hospitals with an annual volume of 5.0 or fewer spinal fusions per year. The current data suggest that being insured with Medicaid in the state of California is associated with poorer outcomes after scoliosis surgery. Additionally, this study documents a volume/outcomes relationship in scoliosis surgery.

Adolescent↗
PubMed2005

Accuracy of Medicaid payer coding in hospital patient discharge data: implications for Medicaid policy evaluation.

BACKGROUND: Ambulatory care-sensitive hospitalization rates derived from hospital discharge data have been used to compare ambulatory care across insurance and delivery system groups. OBJECTIVE: We sought to quantify the impact of coding inaccuracies in hospital discharge data on counts of hospitalizations for ambulatory care-sensitive conditions among Medicaid beneficiaries. METHODS: This was a cross-sectional comparison of administrative databases of all California Medicaid beneficiaries younger than 65 years of age. We compared the number of hospitalizations that were attributed to Medicaid beneficiaries in California's hospital discharge data for 1994 to 1999 with the number derived from a file that linked hospital discharge data with the Medicaid eligibility file. RESULTS: Hospital discharge data undercounted 28.2% of hospitalizations for ambulatory care-sensitive conditions among Medicaid beneficiaries and overcounted 13.4% of such admissions among non-Medicaid beneficiaries. Approximately 5% of hospitalizations for ambulatory care-sensitive conditions captured as Medicaid admissions in routine hospital discharge data were among patients who gained Medicaid coverage as a result of the hospitalization. Patients who acquire Medicaid coverage as a result of a hospitalization are much more likely to be placed into Medicaid fee for service rather than Medicaid managed care which biases comparisons of these 2 delivery models. CONCLUSION: Caution should be used in the interpretation of Medicaid hospitalization rates as calculated from routine hospital discharge data. State agencies that provide hospital discharge data should consider the opportunity to improve the evaluation of Medicaid services by linking hospital discharge data with Medicaid enrollment files.

Adult↗
PubMed2003

Measuring hospital quality: can medicare data substitute for all-payer data?

OBJECTIVES: To assess whether adverse outcomes in Medicare patients can be used as a surrogate for measures from all patients in quality-of-care research using administrative datasets. DATA SOURCES: Patient discharge abstracts from state data systems for 799 hospitals in 11 states. National MedPAR discharge data for Medicare patients from 3,357 hospitals. State hospital staffing surveys or financial reports. American Hospital Association Annual Survey. STUDY DESIGN: We calculate rates for 10 adverse patient outcomes, examine the correlation between all-patient and Medicare rates, and conduct negative binomial regressions of counts of adverse outcomes on expected counts, hospital nurse staffing, and other variables to compare results using all-patient and Medicare patient data. DATA COLLECTION/EXTRACTION: Coding rules were established for eight adverse outcomes applicable to medical and surgical patients plus two outcomes applicable only to surgical patients. The presence of these outcomes was coded for 3 samples: all patients in the 11-state sample, Medicare patients in the 11-state sample, and Medicare patients in the national Medicare MedPAR sample. Logistic regression models were used to construct estimates of expected counts of the outcomes for each hospital. Variables for teaching, metropolitan status, and bed size were obtained from the AHA Annual Survey. PRINCIPAL FINDINGS: For medical patients, Medicare rates were consistently higher than all-patient rates, but the two were highly correlated. Results from regression analysis were consistent across the 11-state all-patient, 11-state Medicare, and national Medicare samples. For surgery patients, Medicare rates were generally higher than all-patient rates, but correlations of Medicare and all-patient rates were lower, and regression results less consistent. CONCLUSIONS: Analyses of quality of care for medical patients using Medicare-only and all-patient data are likely to have similar findings. Measures applied to surgery patients must be used with more caution, as those tested only in Medicare patients may not provide results comparable to those from all-patient samples or across different samples of Medicare patients.

Aged↗