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1.
BMJ Glob Health ; 9(5)2024 May 13.
Article in English | MEDLINE | ID: mdl-38740495

ABSTRACT

The goal of Universal Health Coverage (UHC) is that everyone needing healthcare can access quality services without financial hardship. Recent research covering countries with UHC systems documents the emergence, and acceleration following the COVID-19 pandemic of unapproved informal payment systems by providers that collect under-the-table payments from patients. In 2001, Thailand extended its '30 Baht' government-financed coverage to all uninsured people with little or no cost sharing. In this paper, we update the literature on the performance of Thailand's Universal Health Coverage Scheme (UCS) with data covering 2019 (pre-COVID-19) through 2021. We find that access to care for Thailand's UCS-covered population (53 million) is similar to access provided to populations covered by the other major public health insurance schemes covering government and private sector workers, and that, unlike reports from other UHC countries, no evidence that informal side payments have emerged, even in the face of COVID-19 related pressures. However, we do find that nearly one out of eight Thailand's UCS-covered patients seek care outside the UCS delivery system where they will incur out-of-pocket payments. This finding predates the COVID-19 pandemic and suggests the need for further research into the performance of the UHC-sponsored delivery system.


Subject(s)
COVID-19 , Health Services Accessibility , SARS-CoV-2 , Universal Health Insurance , Humans , Thailand , COVID-19/economics , Universal Health Insurance/economics , Health Services Accessibility/economics , Health Expenditures/statistics & numerical data , Financing, Personal/economics , Pandemics/economics
2.
Health Aff (Millwood) ; 43(3): 416-423, 2024 Mar.
Article in English | MEDLINE | ID: mdl-38437608

ABSTRACT

Rising prices are a major cause of increased health care spending and health insurance premiums in the US. Hospital prices, specifically-for both inpatient and outpatient care-are the largest driver of rising health care spending in the commercial insurance market. As a result, policy makers and employers are increasingly interested in understanding the determinants of hospital prices. Hospitals serving as trauma centers are often endowed by regulators with monopoly power over trauma services in their geographic areas, and this monopoly power may spill over to nontrauma services. This study focused on the growing number of designated trauma centers and how trauma center status affects hospital prices for other, nontrauma services. We found that hospitals designated as trauma centers charged higher prices for nontrauma inpatient admissions and nontrauma emergency department visits when compared with hospitals that were not designated as trauma centers, even after controlling for potential confounders.


Subject(s)
Hospitals , Trauma Centers , Humans , Health Facilities , Hospitalization , Administrative Personnel
3.
Health Aff Sch ; 1(3): qxad039, 2023 Sep.
Article in English | MEDLINE | ID: mdl-38770166

ABSTRACT

The COVID-19 pandemic caused major disruptions to the operation and financing of US acute care hospitals. Previous research has documented early effects of the COVID pandemic on hospital financial performance. This paper updates the literature with current data on utilization and financial performance for a large sample of California hospitals covering the period 2017 through the end of 2022 and the first quarter of 2023. The data show that, while hospital overall utilization has largely returned to pre-COVID levels, patient mix has changed and financial performance still lags. Hospital net income margins remain below pre-COVID levels which could trigger price increases to commercially insured patients to offset continuing post-COVID financial shortfalls.


COVID-19 created substantial disruptions and stresses to our health care system, including hospitals, and as such, it is critical to understand how hospital financial performance continues to be affected by these challenges. This study analyzes current data (through quarter [Q] 1 of 2023) to assess evolving financial trends affecting hospitals. The data show that hospitals weathered the initial impact in 2020 and 2021 but encountered challenging financial conditions in 2022 as net income from both operating and nonoperating sources fell dramatically in the face of a sustained increase in operating costs and decreasing revenue from nonoperating sources. Pressures on net income from operations persisted through Q1 of 2023, although nonoperating income has rebounded. Importantly, the data show that trends vary substantially across hospitals and that there is a large subset of hospitals that remain under severe financial pressure and may require assistance from policymakers to sustain operations until their financial positions are stabilized.

5.
Am J Emerg Med ; 61: 64-67, 2022 11.
Article in English | MEDLINE | ID: mdl-36057210

ABSTRACT

INTRODUCTION: Hospital-based emergency departments have been a sustained source of overall hospital utilization in the United States. In 2019, an estimated 150 million hospital-based emergency department (ED) visits occurred in the United States, up from 90 million in 1993, 108 million in 2000 and 137 million in 2015. This study analyzes hospital ED visit registration data pre and post to the COVID-19 pandemic describe the impact of on hospital ED utilization and to assess long-term implications of COVID and other factors on the utilization of hospital-based emergency services. METHODS: We analyze real-time hospital ED visit registration data from a large sample of US hospitals to document changes in ED visits from January 2020 through March 2022 relative to 2019 (pre-COVID baseline) to describe the impact of the COVID-19 pandemic on EDs and assess long-term implications. RESULTS: Our data show an initial steep reduction in ED visits during the first half of 2020 (compared to 2019 levels) with rebounding occurring in 2021, but never reaching pre-pandemic levels. Overall, ED visit volumes across the study states declined in each year since 2019: 2020 declined by -18%, 2021 by -10% and the first quarter of 2022 is -12% below 2019 levels. CONCLUSIONS: There is a wide range of potential long-term implications of the observed reduction in the demand for hospital-based emergency services not only for emergency physicians, but for hospitals, health plans and consumers.


Subject(s)
COVID-19 , Physicians , Humans , United States/epidemiology , COVID-19/epidemiology , Pandemics , Emergency Service, Hospital , Hospitals
6.
Am J Manag Care ; 26(3): 105-110, 2020 03.
Article in English | MEDLINE | ID: mdl-32181625

ABSTRACT

OBJECTIVES: Empirical evaluation of market power that hospitals gain over health plans through hospitals' ability to cancel their contracts with plans while keeping large shares of plans' emergency patients and getting paid for them at above-market rates. STUDY DESIGN: Case-study analysis of 5 California hospitals that initially had contracts with most commercial health plans and then cancelled all those contracts at the same time. METHODS: We conducted a before-and-after case-study analysis comparing volume, price, and net revenues for the 5 study hospitals 3 years before and up to 4 years after the cancellation of their commercial contracts. The volume and price trends in study hospitals were compared with data on control hospitals in the same geographic area over the matching study period. RESULTS: Despite substantially increasing their prices on a noncontracted basis, the 5 study hospitals collectively retained 50% of their commercial health plan volume in first 2 years after the cancellation and 41% of their commercial volume in years 3 and 4, with net commercial revenues increasing as a result. At the same time, the simulated costs of treating the patients from out-of-network hospitals more than doubled for the health plans. CONCLUSIONS: In hospital-payer negotiation, many hospitals have an upper hand: Their threat to retain large portions of their emergency patients and revenues after becoming out of network is credible and it imposes disproportionate costs on the payers, which partially explains the continuing rise in hospital prices.


Subject(s)
Costs and Cost Analysis/methods , Economic Competition/statistics & numerical data , Emergency Service, Hospital/organization & administration , California , Contracts/standards , Contracts/statistics & numerical data , Emergency Service, Hospital/economics , United States
7.
Am J Emerg Med ; 38(12): 2511-2515, 2020 12.
Article in English | MEDLINE | ID: mdl-31862191

ABSTRACT

BACKGROUND: It is important that policy makers, emergency physicians, hospital administrators, and health system planners understand the expanded role of hospital emergency departments (EDs). OBJECTIVES: We sought to document the expanded role hospital EDs and their economic impact on overall hospital activity between 2002 and 2017. METHODS: This is a retrospective analysis of hospital ED capacity, utilization, and financial data from all general acute care hospitals in California (2002 through 2017). We calculate changes in ED capacity, annual ED visits and admissions through the ED, and the share of total hospital charges associated with ED generated utilization. RESULTS: EDs now account for well over half of all inpatient admissions to the hospital and ED outpatient visit volume has also grown substantially over time. By 2017 EDs within California's general acute care hospitals generated 67% of the total hospital economic activity (as measured by charges), up from 40% in 2002. CONCLUSION: Overall, our data reveal that EDs are now the economic engine of hospitals and play a much larger role in the overall health care system, suggesting many unexplored policy, manpower, market, and health system design implications for further research.


Subject(s)
Emergency Service, Hospital/trends , Hospital Charges/trends , California , Economics, Hospital/trends , Emergency Service, Hospital/economics , Facilities and Services Utilization , Hospital Bed Capacity , Hospitalization/economics , Hospitalization/trends , Humans
8.
Health Aff (Millwood) ; 37(9): 1417-1424, 2018 09.
Article in English | MEDLINE | ID: mdl-30179549

ABSTRACT

California became very successful in controlling rising health care costs by promoting price competition through market-based, managed care policies. However, recent data reveal that the state has not been able sustain its initial success in controlling growth in hospital prices. Two powerful trends emerged in California that eroded the conditions needed to sustain price competition. To ensure timely access to emergency hospital services, government regulators enacted regulations that had the unintended effect of giving hospitals tremendous leverage when contracting with health plans. Also, antitrust authorities allowed hospitals to consolidate into multihospital systems by adding members that were not direct competitors in local markets. The combined effect of these policies and consolidation trends was a substantial reduction in the competitiveness of provider markets in California, which reduced health plans' ability to leverage competitive provider markets and negotiate lower prices and other benefits for their members. Policy makers can and should act to restore competitive conditions.


Subject(s)
Administrative Personnel , Economic Competition/statistics & numerical data , Economic Competition/trends , Health Facility Merger/statistics & numerical data , Health Policy , Multi-Institutional Systems/statistics & numerical data , California , Health Care Costs , Humans , United States
9.
Inquiry ; 532016.
Article in English | MEDLINE | ID: mdl-27284126

ABSTRACT

A surge in hospital consolidation is fueling formation of ever larger multi-hospital systems throughout the United States. This article examines hospital prices in California over time with a focus on hospitals in the largest multi-hospital systems. Our data show that hospital prices in California grew substantially (+76% per hospital admission) across all hospitals and all services between 2004 and 2013 and that prices at hospitals that are members of the largest, multi-hospital systems grew substantially more (113%) than prices paid to all other California hospitals (70%). Prices were similar in both groups at the start of the period (approximately $9200 per admission). By the end of the period, prices at hospitals in the largest systems exceeded prices at other California hospitals by almost $4000 per patient admission. Our study findings are potentially useful to policy makers across the country for several reasons. Our data measure actual prices for a large sample of hospitals over a long period of time in California. California experienced its wave of consolidation much earlier than the rest of the country and as such our findings may provide some insights into what may happen across the United States from hospital consolidation including growth of large, multi-hospital systems now forming in the rest of the rest of the country.


Subject(s)
Health Expenditures/trends , Hospital Charges/trends , Multi-Institutional Systems , California , Databases, Factual , Economics, Hospital , Regression Analysis
10.
Health Aff (Millwood) ; 35(1): 28-35, 2016 Jan.
Article in English | MEDLINE | ID: mdl-26733698

ABSTRACT

In 2009 HealthCare Partners Affiliates Medical Group, based in Southern California, launched House Calls, an in-home program that provides, coordinates, and manages care primarily for recently discharged high-risk, frail, and psychosocially compromised patients. Its purpose is to reduce preventable emergency department visits and hospital readmissions. We present data over time from this well-established program to provide an example for other new programs that are being established across the United States to serve this population with complex needs. The findings show that the initial House Calls structure, staffing patterns, and processes differed across the geographic areas that it served, and that they also evolved over time in different ways. In the same time period, all areas experienced a reduction in operating costs per patient and showed substantial reductions in monthly per patient health care spending and hospital utilization after enrollment in the House Calls program, compared to the period before enrollment. Despite more than five years of experience, the program structure continues to evolve and adjust staffing and other features to accommodate the dynamic nature of this complex patient population.


Subject(s)
Cost Savings , Delivery of Health Care/organization & administration , Emergency Service, Hospital/statistics & numerical data , Homebound Persons/statistics & numerical data , House Calls/economics , Aged , Aged, 80 and over , California , Emergency Service, Hospital/economics , Female , Frail Elderly/statistics & numerical data , Health Care Costs , House Calls/statistics & numerical data , Humans , Male , Outcome Assessment, Health Care , Program Development
11.
Appl Health Econ Health Policy ; 13(2): 157-66, 2015 Apr.
Article in English | MEDLINE | ID: mdl-25566748

ABSTRACT

BACKGROUND: In 2001, Thailand implemented a universal coverage program by expanding government-funded health coverage to uninsured citizens and limited their out-of-pocket payments to 30 Baht per encounter and, in 2006, eliminated out-of-pocket payments entirely. Prior research covering the early years of the program showed that the program effectively expanded coverage while a more recent paper of the early effects of the program found that improved access from the program led to a reduction in infant mortality. OBJECTIVE: We expand and update previous analyses of the effects of the 30 Baht program on access and out-of-pocket payments. DATA AND METHODS: We analyze national survey and governmental budgeting data through 2011 to examine trends in health care financing, coverage and access, including out-of-pocket payments. RESULTS: By 2011, only 1.64 % of the population remained uninsured in Thailand (down from 2.61 % in 2009). While government funding increased 75 % between 2005 and 2010, budgetary requests by health care providers exceeded approved amounts in many years. The 30 Baht program beneficiaries paid zero out-of-pocket payments for both outpatient and inpatient care. Inpatient and outpatient contact rates across all insurance categories fell slightly over time. CONCLUSIONS: Overall, the statistical results suggest that the program is continuing to achieve its goals after 10 years of operation. Insurance coverage is now virtually universal, access has been more or less maintained, government funding has continued to grow, though at rates below requested levels and 30 Baht patients are still guaranteed access to care with limited or no out-of-pocket costs. Important issues going forward are the ability of the government to sustain continued funding increases while minimizing cost sharing.


Subject(s)
Health Care Reform/trends , Health Policy/trends , Uncompensated Care/trends , Universal Health Insurance/trends , Cost Sharing/economics , Cost Sharing/trends , Developing Countries , Financing, Government/economics , Financing, Government/trends , Financing, Personal/economics , Financing, Personal/trends , Health Care Reform/economics , Health Policy/economics , Health Services Accessibility/economics , Health Services Accessibility/trends , Humans , Insurance Benefits/economics , Insurance Benefits/trends , Medically Uninsured/statistics & numerical data , Thailand , Uncompensated Care/economics , Universal Health Insurance/economics
12.
BMC Health Serv Res ; 14: 230, 2014 May 21.
Article in English | MEDLINE | ID: mdl-24886580

ABSTRACT

BACKGROUND: United States health care spending rose rapidly in the 2000s, after a period of temporary slowdown in the 1990s. However, the description of the overall trend and the understanding of the underlying drivers of this trend are very limited. This study investigates how well historical hospital cost/revenue drivers explain the recent hospital spending trend in the 2000s, and how important each of these drivers is. METHODS: We used aggregated time series data to describe the trend in total hospital spending, price, and quantity between 2001 and 2009. We used the Oaxaca-Blinder method to investigate the relative importance of major hospital cost/spending drivers (derived from the literature) in explaining the change in hospital spending patterns between 2001 and 2007. We assembled data from Medicare Cost Reports, American Hospital Association annual surveys, Prospective Payment System (PPS) Impact Files, Medicare Provider Analysis and Review (MedPAR) Medicare claims data, InterStudy reports, National Health Expenditure data, and Area Resource Files. RESULTS: Aggregated time series trends show that high hospital spending between 2001 and 2009 appears to be driven by higher payment per unit of hospital output, not by increased utilization. Results using the Oaxaca-Blinder regression decomposition method indicate that changes in historically important spending drivers explain a limited 30% of unit-payment growth, but a higher 60% of utilization growth. Hospital staffing and labor-related costs, casemix, and demographics are the most important drivers of higher hospital revenue, utilization, and unit-payment. Technology is associated with lower utilization, higher unit payment, and limited increases in total revenue. Market competition, primarily because of increased managed care concentration, moderates total revenue growth by driving lower unit payment. CONCLUSIONS: Much of the rapidly rising hospital spending growth in the 2000s in the United States is driven by factors not commonly known or well measured. Future studies need to explore new factors and dynamics that drive longer-term hospital spending growth in recent years, particularly through the channel of higher prices.


Subject(s)
Economics, Hospital/trends , Health Expenditures/classification , Health Expenditures/trends , Hospital Costs/trends , Databases, Factual , United States
13.
Health Aff (Millwood) ; 32(6): 1101-8, 2013 Jun.
Article in English | MEDLINE | ID: mdl-23733985

ABSTRACT

Millions of uninsured Americans rely on hospital emergency departments (EDs) for medical care. Throughout the United States, uninsured patients treated in or admitted to the hospital through the ED receive hospital bills based on what hospitals call "billed charges." These charges are much higher than those paid by insured patients. In 2006 California approved "fair pricing" legislation to protect uninsured patients from having to pay full billed charges. We found that by 2011 most California hospitals had responded to the law by adopting financial assistance policies to make care more affordable for the state's 6.8 million uninsured people. Ninety-seven percent of California hospitals reported that they offered free care to uninsured patients with incomes at or below 100 percent of the federal poverty level. California's approach offers a promising policy option to other states seeking to protect the uninsured from receiving bills based on full billed charges.


Subject(s)
Emergency Service, Hospital/legislation & jurisprudence , Hospital Charges/legislation & jurisprudence , Medically Uninsured/legislation & jurisprudence , Uncompensated Care/legislation & jurisprudence , California , Emergency Service, Hospital/economics , Humans , Patient Credit and Collection/economics , Patient Credit and Collection/legislation & jurisprudence , Patient Credit and Collection/methods , Patient Protection and Affordable Care Act/economics , Poverty/legislation & jurisprudence , Uncompensated Care/economics , Uncompensated Care/trends
14.
Health Aff (Millwood) ; 30(9): 1728-33, 2011 Sep.
Article in English | MEDLINE | ID: mdl-21900664

ABSTRACT

The long-term trend of consolidation among US health plans has raised providers' concerns that the concentration of health plan markets can depress their prices. Although our study confirmed that, it also revealed a more complex picture. First, we found that 64 percent of hospitals operate in markets where health plans are not very concentrated, and only 7 percent are in markets that are dominated by a few health plans. Second, we found that in most markets, hospital market concentration exceeds health plan concentration. Third, our study confirmed earlier studies showing that greater hospital market concentration leads to higher hospital prices. Fourth, we found that hospital prices in the most concentrated health plan markets are approximately 12 percent lower than in more competitive health plan markets. Overall, our results show that more concentrated health plan markets can counteract the price-increasing effects of concentrated hospital markets, and that-contrary to conventional wisdom-increased health plan concentration benefits consumers through lower hospital prices as long as health plan markets remain competitive. Our findings also suggest that consumers would benefit from policies that maintained competition in hospital markets or that would restore competition to hospital markets that are uncompetitive.


Subject(s)
Catchment Area, Health , Health Benefit Plans, Employee/organization & administration , Hospital Charges , Catchment Area, Health/economics , Cost Control , Economics, Hospital , United States
15.
Health Policy ; 100(2-3): 273-81, 2011 May.
Article in English | MEDLINE | ID: mdl-21168932

ABSTRACT

OBJECTIVES: This study investigates the importance of medical fee and distance to health care provider on individual's decision to seek care in developing countries. METHODS: The estimation method used a mixed logit model applied to data from the third wave of the Indonesian family life survey (2000). The key variables of interest include medical fee and distance to different types of health care provider and individual characteristic variables. RESULTS: Urban dweller's decision to choose health care providers are sensitive to the monetary cost of medical care as measured by medical fee but they are not sensitive to distance. For those who reside in rural area, they are sensitive to the non-medical component cost of care as measured by travel distance but they are not sensitive to medical fee. CONCLUSIONS: As a result of those findings, policy makers should consider different sets of policy instruments when attempting to expand health service's usage in urban and rural areas of Indonesia. To increase access in urban areas, we recommend expansion of health insurance coverage in order to lower out-of-pocket medical expenditures. As for rural areas, expansion of medical infrastructures to reduce commuting distance and costs will be needed to increase utilization.


Subject(s)
Health Services/statistics & numerical data , Insurance Coverage , Insurance, Health , Rural Population , Urban Population , Adult , Data Collection , Female , Humans , Indonesia , Male , Middle Aged , Models, Statistical , Young Adult
16.
Med Care ; 48(9): 809-14, 2010 Sep.
Article in English | MEDLINE | ID: mdl-20706170

ABSTRACT

BACKGROUND: Federal, state, and local governments provide substantial subsidies to so-called "safety-net" hospitals, in part, to offset the loss in revenue associated with providing a disproportionate share (DSH) of care to low-income and uninsured patients, with the goal to improve access to care for uninsured and ensure affordable care for them. OBJECTIVES: We investigate the targeting of DSH subsidies and their impact on pricing to uninsured patients in acute care for-profit and nonprofit hospitals. METHODS: The study sample includes all California acute care private hospitals that report comparable financial data to the State and covers 2001 through 2006 time period. Relative price to uninsured is measured as the percent difference of uninsured payments from Medicare payments, by comparing percent of charges paid by uninsured as a group to percent of charges paid by Medicare within each hospital. RESULTS: Sixty-five percent of all uninsured care among private hospitals is provided by nonprofit hospitals that are non-DSH. Although, uninsured patients still pay lower prices at DSH hospitals compared with non-DSH hospitals of the same ownership category, this difference reduced substantially over time. For-profit DSH hospitals serve a smaller share of uninsured patients and charge higher uninsured prices than nonprofit non-DSH hospitals but receive the highest DSH subsidy as a percent of their revenues. CONCLUSIONS: In California, DSH subsidies do not target highest providers of care to uninsured and in 2005-2006 have had very small potential as a mechanism of reducing prices to uninsured.


Subject(s)
Economics, Hospital/trends , Financing, Government , Medically Uninsured , Uncompensated Care/economics , California , Databases, Factual , Humans , Poverty , Uncompensated Care/trends
17.
Health Serv Res ; 45(1): 42-61, 2010 Feb.
Article in English | MEDLINE | ID: mdl-19840134

ABSTRACT

OBJECTIVE: Analyze trends in hospital cost and revenue, as well as price and quantity (1994-2005) as a function of health maintenance organization (HMO) penetration, HMO concentration, and for-profit (FP) HMO market share. DATA: Medicare hospital cost reports, AHA Annual Surveys, HMO data from Interstudy, and other supplemental data. STUDY DESIGN: A retrospective study of all short-term, general, nonfederal hospitals in metropolitan statistical areas (MSAs) in the United States from 1994 to 2005, using hospital/MSA fixed-effects translog regression models. PRINCIPAL FINDINGS: A 10 percentage point increase in HMO enrollment is associated with 4.1-4.2 percent reduction in costs and revenues in the pre-2000 period but only a 2.1-2.5 percent reduction in the post-2000 period. Hospital revenue in HMO-dominant markets (highly concentrated HMO market and competitive hospital market) is 19-27 percent lower than other types of markets, and the difference is most likely due mainly to lower prices and to a lesser extent lower utilization. CONCLUSIONS: The historical difference of lower spending in high HMO penetration markets compared with low HMO markets narrowed after 2000 and the relative concentration between HMO and hospital markets can substantially influence hospital spending. Additional research is needed to understand how different aspects of these two markets have changed and interacted and how they are causally linked to spending trends.


Subject(s)
Catchment Area, Health , Economics, Hospital/trends , Health Maintenance Organizations , Hospitals, Proprietary/economics , Ownership , Data Collection , Medicare , Regression Analysis , Retrospective Studies , United States
18.
Health Aff (Millwood) ; 28(3): w457-66, 2009.
Article in English | MEDLINE | ID: mdl-19336469

ABSTRACT

Efforts by countries to attain universal coverage are often hampered by supply constraints that can reduce access to care for those already in the system and, in many Asian and developing countries, by the emergence of informal payment systems that extract under-the-table payments from patients. In 2001, Thailand extended government-financed coverage to all uninsured people with little or no cost sharing. We found that Thailand has added nearly fourteen million people to the system and achieved near-universal coverage without compromising access for those with prior coverage; we also found that, to date, no informal payment system has emerged.


Subject(s)
Developing Countries , Health Care Reform/trends , Health Policy/trends , Medically Uninsured , Uncompensated Care/trends , Universal Health Insurance/trends , Cost Sharing/economics , Cost Sharing/trends , Cross-Sectional Studies , Financing, Government/economics , Financing, Government/trends , Financing, Personal/economics , Financing, Personal/trends , Forecasting , Health Care Reform/economics , Health Policy/economics , Health Services Accessibility/economics , Health Services Accessibility/trends , Humans , Insurance Benefits/economics , Insurance Benefits/trends , Medically Uninsured/statistics & numerical data , Thailand , Uncompensated Care/economics , Universal Health Insurance/economics
19.
Am J Manag Care ; 14(8): 505-12, 2008 Aug.
Article in English | MEDLINE | ID: mdl-18690766

ABSTRACT

OBJECTIVE: To estimate the effect of independent practice association (IPA) model HMOs and the Kaiser Foundation Health Plan's group model on inpatient utilization of Medicare beneficiaries in the last 2 years of life, compared with traditional fee-for-service (FFS) coverage. STUDY DESIGN: Data from the Centers for Medicare & Medicaid Services were linked to inpatient discharge data from the California Office of Statewide Health Planning and Development for 1991-2001. A sample of aged Medicare beneficiaries who died between January 1998 and June 2001 and were continuously enrolled during the 2 years before death in (1) FFS (n = 234,498), (2) an IPA (n = 109,577), or (3) Kaiser (n = 29,434) were selected. METHODS: The probability of at least 1 hospitalization, number of inpatient days given at least 1 hospitalization, and total inpatient days per year in the last 2 years of life were estimated for each subgroup. A 2-part regression model, which adjusted for age, sex, Medicaid status, race, ethnicity, and chronic condition associated with the last hospitalization, was applied to determine the HMO-FFS difference in inpatient utilization during the last 2 years of life. RESULTS: During their last 2 years of life, decedents in IPAs and Kaiser used approximately 34% and 51% fewer inpatient days, respectively, than decedents in FFS. CONCLUSIONS: Medicare beneficiaries who died while enrolled in an HMO, particularly Kaiser, had many fewer hospital days during the 2 years before death than beneficiaries who died with FFS coverage.


Subject(s)
Capitation Fee , Fee-for-Service Plans , Health Maintenance Organizations/statistics & numerical data , Independent Practice Associations/statistics & numerical data , Medicare/statistics & numerical data , Models, Organizational , Terminal Care/statistics & numerical data , Acute Disease/economics , Aged , Aged, 80 and over , California , Chronic Disease/economics , Ethnicity , Female , Health Maintenance Organizations/economics , Health Maintenance Organizations/organization & administration , Health Services Research , Hospitalization/statistics & numerical data , Humans , Independent Practice Associations/economics , Independent Practice Associations/organization & administration , Logistic Models , Male , Terminal Care/economics , Terminal Care/organization & administration , United States , Utilization Review
20.
Med Care ; 46(3): 339-42, 2008 Mar.
Article in English | MEDLINE | ID: mdl-18388850

ABSTRACT

OBJECTIVE: This study uses empirical data to study changes in the structure and use of HMO hospital provider networks in California. STUDY DESIGN: Data from California HMOs are used to test whether there have been structural changes in HMO size, geographic coverage, hospital network design, and patient channeling for inpatient care over the period 1999-2003. METHODS: Three different measures of HMO network breadth, access, and channeling were analyzed between 1999 and 2003. Actual patient admission data linked to health plan code variables are used to identify inpatient hospital discharges covered by each HMO in California and to which hospital each HMO sends its patients in each year between 1999 and 2003. RESULTS: Despite consolidation in the total number of HMOs, the share of all hospital admissions accounted for by HMOs remained substantial. In terms of network breadth, there were minimal changes over time in the percent of available hospitals included in HMO networks. There was a slight increase in distance traveled for HMO' patient who were admitted, the opposite of what would be expected if networks were being broadened. Finally, channeling, as measured by the concentration of a payers' patients within its network hospitals did not change significantly. CONCLUSIONS: We found little evidence that there have been systematic changes in either the structure or use of HMO hospital networks in California between 1999 and 2003, suggesting that these factors played a limited role in explaining the return of growth in health care costs.


Subject(s)
Health Maintenance Organizations/organization & administration , Health Maintenance Organizations/statistics & numerical data , Health Services Accessibility/organization & administration , Health Services Accessibility/statistics & numerical data , Hospital Administration , California , Humans , Patient Admission/statistics & numerical data
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