International journal of health care finance and economics最新文献

{"title":"Supply and demand in physician markets: a panel data analysis of GP services in Australia.","authors":"Ian McRae,&nbsp;James R G Butler","doi":"10.1007/s10754-014-9148-7","DOIUrl":"https://doi.org/10.1007/s10754-014-9148-7","url":null,"abstract":"<p><p>To understand the trends in any physician services market it is necessary to understand the nature of both supply and demand, but few studies have jointly examined supply and demand in these markets. This study uses aggregate panel data on general practitioner (GP) services at the Statistical Local Area level in Australia spanning eight years to estimate supply and demand equations for GP services. The structural equations of the model are estimated separately using population-weighted fixed effects panel modelling with the two stage least squares formulation of the generalised method of moments approach (GMM (2SLS)). The estimated price elasticity of demand of [Formula: see text] is comparable with other studies. The direct impact of GP density on demand, while significant, proves almost immaterial in the context of near vertical supply curves. Supply changes are therefore due to shifts in the position of the curves, partly determined by a time trend. The model is validated by comparing post-panel model predictions with actual market outcomes over a period of three years and is found to provide surprisingly accurate projections over a period of significant policy change. The study confirms the need to jointly consider supply and demand in exploring the behaviour of physician services markets. </p>","PeriodicalId":73453,"journal":{"name":"International journal of health care finance and economics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s10754-014-9148-7","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"32339689","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Stability of children's insurance coverage and implications for access to care: evidence from the Survey of Income and Program Participation.","authors":"Thomas Buchmueller,&nbsp;Sean M Orzol,&nbsp;Lara Shore-Sheppard","doi":"10.1007/s10754-014-9141-1","DOIUrl":"https://doi.org/10.1007/s10754-014-9141-1","url":null,"abstract":"<p><p>Even as the number of children with health insurance has increased, coverage transitions--movement into and out of coverage and between public and private insurance--have become more common. Using data from 1996 to 2005, we examine whether insurance instability has implications for access to primary care. Because unobserved factors related to parental behavior and child health may affect both the stability of coverage and utilization, we estimate the relationship between insurance and the probability that a child has at least one physician visit per year using a model that includes child fixed effects to account for unobserved heterogeneity. Although we find that unobserved heterogeneity is an important factor influencing cross-sectional correlations, conditioning on child fixed effects we find a statistically and economically significant relationship between insurance coverage stability and access to care. Children who have part-year public or private insurance are more likely to have at least one doctor's visit than children who are uninsured for a full year, but less likely than children with full-year coverage. We find comparable effects for public and private insurance. Although cross-sectional analyses suggest that transitions directly between public and private insurance are associated with lower rates of utilization, the evidence of such an effect is much weaker when we condition on child fixed effects.</p>","PeriodicalId":73453,"journal":{"name":"International journal of health care finance and economics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s10754-014-9141-1","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"32096498","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The US healthcare workforce and the labor market effect on healthcare spending and health outcomes.","authors":"Lawrence C Pellegrini,&nbsp;Rosa Rodriguez-Monguio,&nbsp;Jing Qian","doi":"10.1007/s10754-014-9142-0","DOIUrl":"https://doi.org/10.1007/s10754-014-9142-0","url":null,"abstract":"<p><p>The healthcare sector was one of the few sectors of the US economy that created new positions in spite of the recent economic downturn. Economic contractions are associated with worsening morbidity and mortality, declining private health insurance coverage, and budgetary pressure on public health programs. This study examines the causes of healthcare employment growth and workforce composition in the US and evaluates the labor market's impact on healthcare spending and health outcomes. Data are collected for 50 states and the District of Columbia from 1999-2009. Labor market and healthcare workforce data are obtained from the Bureau of Labor Statistics. Mortality and health status data are collected from the Centers for Disease Control and Prevention's Vital Statistics program and Behavioral Risk Factor Surveillance System. Healthcare spending data are derived from the Centers for Medicare and Medicaid Services. Dynamic panel data regression models, with instrumental variables, are used to examine the effect of the labor market on healthcare spending, morbidity, and mortality. Regression analysis is also performed to model the effects of healthcare spending on the healthcare workforce composition. All statistical tests are based on a two-sided [Formula: see text] significance of [Formula: see text] .05. Analyses are performed with STATA and SAS. The labor force participation rate shows a more robust effect on healthcare spending, morbidity, and mortality than the unemployment rate. Study results also show that declining labor force participation negatively impacts overall health status ([Formula: see text] .01), and mortality for males ([Formula: see text] .05) and females ([Formula: see text] .001), aged 16-64. Further, the Medicaid and Medicare spending share increases as labor force participation declines ([Formula: see text] .001); whereas, the private healthcare spending share decreases ([Formula: see text] .001). Public and private healthcare spending also has a differing effect on healthcare occupational employment per 100,000 people. Private healthcare spending positively impacts primary care physician employment ([Formula: see text] .001); whereas, Medicare spending drives up employment of physician assistants, registered nurses, and personal care attendants ([Formula: see text] .001). Medicaid and Medicare spending has a negative effect on surgeon employment ([Formula: see text] .05); the effect of private healthcare spending is positive but not statistically significant. Labor force participation, as opposed to unemployment, is a better proxy for measuring the effect of the economic environment on healthcare spending and health outcomes. Further, during economic contractions, Medicaid and Medicare's share of overall healthcare spending increases with meaningful effects on the configuration of state healthcare workforces and subsequently, provision of care for populations at-risk for worsening morbidity and mortality. </p>","PeriodicalId":73453,"journal":{"name":"International journal of health care finance and economics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s10754-014-9142-0","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"32195916","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The effect of extension of benefit coverage for cancer patients on health care utilization across different income groups in South Korea.","authors":"Sujin Kim,&nbsp;Soonman Kwon","doi":"10.1007/s10754-014-9144-y","DOIUrl":"https://doi.org/10.1007/s10754-014-9144-y","url":null,"abstract":"<p><p>To provide financial protection against catastrophic illness, the Korean government expanded the National Health Insurance (NHI) benefit coverage for cancer patients in 2005. This paper examined whether the policy improved the income-related equality in health care utilization. This study analyzed the extent to which the policy improved income-related equality in outpatient visits, inpatient days, and inpatient and outpatient care expenditure based on triple difference estimator. Using nationwide claims data of the NHI from 2002 to 2004 and from 2006 to 2010, we compared cancer patients as a treatment group with liver disease as a control group and low-income group with the highest-income group. The results showed that the extension of NHI benefits coverage led to an increase in the utilization of outpatient services across all income groups, but with a greater increase for the low-income groups, among cancer patients. Moreover, the policy led to a less decrease in the utilization of inpatient services for the low-income group while it decreased across all income groups. Our finding suggests that the extension of NHI benefits coverage improved the income-related equality in health care utilization. </p>","PeriodicalId":73453,"journal":{"name":"International journal of health care finance and economics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s10754-014-9144-y","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"32227296","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Payment mechanism and GP self-selection: capitation versus fee for service.","authors":"Marie Allard,&nbsp;Izabela Jelovac,&nbsp;Pierre-Thomas Léger","doi":"10.1007/s10754-014-9143-z","DOIUrl":"https://doi.org/10.1007/s10754-014-9143-z","url":null,"abstract":"<p><p>This paper analyzes the consequences of allowing gatekeeping general practitioners (GPs) to select their payment mechanism. We model GPs' behavior under the most common payment schemes (capitation and fee for service) and when GPs can select one among them. Our analysis considers GP heterogeneity in terms of both ability and concern for their patients' health. We show that when the costs of wasteful referrals to costly specialized care are relatively high, fee for service payments are optimal to maximize the expected patients' health net of treatment costs. Conversely, when the losses associated with failed referrals of severely ill patients are relatively high, we show that either GPs' self-selection of a payment form or capitation is optimal. Last, we extend our analysis to endogenous effort and to competition among GPs. In both cases, we show that self-selection is never optimal. </p>","PeriodicalId":73453,"journal":{"name":"International journal of health care finance and economics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s10754-014-9143-z","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"32210411","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Competitive bidding for Medicare Part B clinical laboratory services.","authors":"John Kautter,&nbsp;Gregory C Pope","doi":"10.1007/s10754-013-9139-0","DOIUrl":"https://doi.org/10.1007/s10754-013-9139-0","url":null,"abstract":"<p><p>The traditional Medicare fee-for-service program may be able to purchase clinical laboratory test services at a lower cost through competitive bidding. Demonstrations of competitive bidding for clinical laboratory tests have been twice mandated or authorized by Congress but never implemented. This article provides a summary and review of the final design of the laboratory competitive bidding demonstration mandated by the Medicare Modernization Act of 2003. The design was analogous to a sealed bid (first price), clearing price auction. Design elements presented include covered laboratory tests and beneficiaries, laboratory bidding and payment status under the demonstration, composite bids, determining bidding winners and the demonstration fee schedule, and quality under the demonstration. Expanded use of competitive bidding in Medicare, including specifically for clinical laboratory tests, has been recommended in some proposals for Medicare reform. The presented design may be a useful point of departure if Medicare clinical laboratory competitive bidding is revived in the future. </p>","PeriodicalId":73453,"journal":{"name":"International journal of health care finance and economics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s10754-013-9139-0","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"31980619","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Demand for prescription drugs under non-linear pricing in Medicare Part D.","authors":"Kyoungrae Jung,&nbsp;Roger Feldman,&nbsp;A Marshall McBean","doi":"10.1007/s10754-013-9137-2","DOIUrl":"https://doi.org/10.1007/s10754-013-9137-2","url":null,"abstract":"<p><p>We estimate the price elasticity of prescription drug use in Medicare Part D, which features a non-linear price schedule due to a coverage gap. We analyze patterns of drug utilization prior to the coverage gap, where the \"effective price\" is higher than the actual copayment for drugs because consumers anticipate that more spending will make them more likely to reach the gap. We find that enrollees' total pre-gap drug spending is sensitive to their effective prices: the estimated price elasticity of drug spending ranges between [Formula: see text]0.14 and [Formula: see text]0.36. This finding suggests that filling in the coverage gap, as mandated by the health care reform legislation passed in 2010, will influence drug utilization prior to the gap. A simulation analysis indicates that closing the gap could increase Part D spending by a larger amount than projected, with additional pre-gap costs among those who do not hit the gap. </p>","PeriodicalId":73453,"journal":{"name":"International journal of health care finance and economics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s10754-013-9137-2","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"31850298","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Determinants of health-system efficiency: evidence from OECD countries.","authors":"Pablo Hernández de Cos,&nbsp;Enrique Moral-Benito","doi":"10.1007/s10754-013-9140-7","DOIUrl":"https://doi.org/10.1007/s10754-013-9140-7","url":null,"abstract":"<p><p>This paper analyzes the most important determinants of healthcare efficiency across OECD countries. As previously documented in the literature, we first provide evidence of significant differences in the cross-country level of efficiency in healthcare provision. We then investigate how improvements in efficiency can be achieved by considering alternative efficiency indices (parametric and non-parametric) and a novel dataset with information on the characteristics of healthcare systems across OECD countries. Our empirical findings suggest a positive correlation between policies such as increasing the regulation of prices billed by providers and reducing the degree of gate keeping and the efficiency of national healthcare systems. </p>","PeriodicalId":73453,"journal":{"name":"International journal of health care finance and economics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s10754-013-9140-7","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"32007107","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effect of nursing home ownership on hospitalization of long-stay residents: an instrumental variables approach.","authors":"Richard A Hirth, David C Grabowski, Zhanlian Feng, Momotazur Rahman, Vincent Mor","doi":"10.1007/s10754-013-9136-3","DOIUrl":"10.1007/s10754-013-9136-3","url":null,"abstract":"<p><p>Hospitalizations among nursing home residents are frequent, expensive, and often associated with further deterioration of resident condition. The literature indicates that a substantial fraction of admissions is potentially preventable and that nonprofit nursing homes are less likely to hospitalize their residents. However, the correlation between ownership and hospitalization might reflect unobserved resident differences rather than a causal relationship. Using national minimum data set assessments linked with Medicare claims, we use a national cohort of long-stay residents who were newly admitted to nursing homes within an 18-month period spanning January 1, 2004 and June 30, 2005. After instrumenting for ownership status, we found that IV estimates of the effect of nonprofit ownership on hospitalization are at least as large as the non-instrumented effects, indicating that selection bias does not explain the observed relationship. We also found evidence suggesting the lower rate of hospitalizations among nonprofits was due to a different threshold for transfer.</p>","PeriodicalId":73453,"journal":{"name":"International journal of health care finance and economics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3969758/pdf/nihms540667.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"31867445","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessing the effectiveness of health care cost containment measures: evidence from the market for rehabilitation care.","authors":"Nicolas R Ziebarth","doi":"10.1007/s10754-013-9138-1","DOIUrl":"https://doi.org/10.1007/s10754-013-9138-1","url":null,"abstract":"<p><p>This study empirically evaluates the effectiveness of different health care cost containment measures. The measures investigated were introduced in Germany in 1997 to reduce moral hazard and public health expenditures in the market for rehabilitation care. Of the analyzed measures, doubling the daily copayments was clearly the most effective cost containment measure, resulting in a reduction in utilization of about [Formula: see text] . Indirect measures such as allowing employers to cut federally mandated sick pay or paid vacation during inpatient post-acute care stays did not significantly reduce utilization. There is evidence neither for adverse health effects nor for substitution effects in terms of more doctor visits. </p>","PeriodicalId":73453,"journal":{"name":"International journal of health care finance and economics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s10754-013-9138-1","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"31929148","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}