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At least 145 records · Page 8Linked to original sources
PubMed2006

A robust approach for skewed and heavy-tailed outcomes in the analysis of health care expenditures.

In this paper robust statistical procedures are presented for the analysis of skewed and heavy-tailed outcomes as they typically occur in health care data. The new estimators and test statistics are extensions of classical maximum likelihood techniques for generalized linear models. In contrast to their classical counterparts, the new robust techniques show lower variability and excellent efficiency properties in the presence of small deviations from the assumed model, i.e. when the underlying distribution of the data lies in a neighborhood of the model. A simulation study, an analysis on real data, and a sensitivity analysis confirm the good theoretical statistical properties of the new techniques.

Health Expenditures↗
PubMed2007

Explaining China's regional health expenditures using LM-type unit root tests.

This paper investigates the relationship between health care expenditure, income, and other factors that are not related to income for China with pooled cross-section and time series data. To study the stationarity property of these variables, we use panel Lagrange Multiplier (LM) unit root tests that allow for structural changes. To perform the LM unit root tests, we employ finite-sample critical values derived through the bootstrap method, instead of relying on the critical values from the asymptotic normal distribution. An important finding based on the estimated panel cointegrated regressions is that the government budget deficits have a significant long-run impact on China's health care expenditure. This provides supportive evidence on the differences between rich and poor areas in China's health care financing policy, and the substantial disparities in health service coverage in China.

China↗
PubMedDate not supplied

The cost of doing business in nursing education.

The production cost of delivering education to health profession students, with a special emphasis on the Bachelor of Science in Nursing degree, is explored using a revenue-based approach. In spite of the national concern regarding the nursing shortage, there are surprisingly minimal data in the literature specific to analyzing the per nursing student cost that would be necessary to plan enrollment expansion. Models of cost analysis and findings for other health professions are discussed. Cost studies for baccalaureate nursing studies in the past are summarized. Existing data sets for nursing to consider using for the secondary purpose of evaluating per student/per year costs are available. The importance of understanding revenue generation is underscored, and an example is given for one school. Finally, costs of education are reframed as an economic investment with multiple benefits. In conclusion, recommendations are made to address the gap in information on costs to educate nursing students.

Benchmarking↗
PubMed2005

"To enrol or not to enrol?": A qualitative investigation of demand for health insurance in rural West Africa.

In spite of the fact that feeble levels of participation have long been identified as a major constraint to the successful long-term implementation of community-based health insurance (CBI) in low-income countries, evidence on determinants of enrolment in CBI is still lacking. The application of econometric modelling has provided a partial answer to the question, but on its own it has proved to be insufficient to guide policy making. This paper aims to fill this gap in knowledge using qualitative research methods. In-depth interviews with 32 household heads were conducted in the Nouna Health District, Burkina Faso, West Africa to assess determinants of enrolment in a newly established CBI scheme. The findings highlight that factors previously neglected in the literature, such as institutional rigidities and socio-cultural practices, play an important role in shaping the decision to enrol. The discussion of the findings focuses on the policy implications, offering concrete recommendations to maximise enrolment, within and beyond Burkina Faso.

Adult↗
PubMedDate not supplied

Chlamydia pneumoniae infection: an additional factor for chronic allograft rejection.

INTRODUCTION: Chronic rejection (CHR) of organ allografts, one of the most significant problems in modern transplantation, is not fully understood. This study sought to evaluate the influence of selected parameters on late kidney transplant function. PATIENTS AND METHOD: The studied group consisted of eighty-six patients who received allogeneic transplants between 1988 and 1999 for leukocyte Chlamydia pneumoniae-DNA, immunoglobulin (Ig)A/IgG anti-C pneumoniae, blood lipids, ischemic damage in the donor and during organ preservation, HLA mismatch, and acute rejection episodes. RESULTS: Eighty-six patients were segregated as 26 patients (30%) with histologically proven chronic graft rejection (CHR[+]) and 59 patients (70%) without (CHR[-]). The presence of C pneumoniae-DNA in peripheral blood leukocytes was significantly more frequent in CHR(+) than CHR(-) group (46% vs 20%). Patients with leukocytes positive for C pneumoniae-DNA more frequently (50%) had CHR than patients negative for C pneumoniae-DNA (22%). CHR(+) patients showed significantly lower HDL levels (47 mg/dL vs 58 mg/dL) and higher triglyceride levels (193 mg/dL vs 148 mg/dL). To study the cumulative effect of differences between the CHR(+) and CHR(-) groups, we applied a multiple binary logistic regression analysis. An econometric model enabled us to calculate the probability of CHR for a given patient taking into account covariates chosen by means of stepwise selection: the presence of C pneumoniae-DNA in blood leukocytes, the use of continuous pulsatile perfusion in hypothermia, myocardial infarction occurrence, and triglyceride concentrations. CONCLUSION: The presence of C pneumoniae-DNA in peripheral blood leukocytes increased the risk of CHR, which may be predicted by a multifactor analysis of chosen parameters.

Adult↗
PubMed2000

Quality incentives in a regulated market with imperfect information and switching costs: capitation in general practice.

We model a system akin to the British National Health Service (NHS), in which general practictioners (GPs) are paid by capitation from general taxation. GPs are horizontally and vertically differentiated and compete for patients via their imperfect observed quality. We show that for any given capitation fee quality is lower and the incentive effects of the fee on quality are smaller when there is imperfect information. There are diminishing welfare gains from improving patient information but increasing welfare gains from reducing switching costs. GPs do not act efficiently to improve patient information via advertising or to reduce the costs of switching.

Capitation Fee↗
PubMed1998

Contracting for health services when patient demand does not reflect quality.

This paper analyses contracts to keep down costs while maintaining quality of health services when patient demand does not reflect quality. There is then a natural role for forms of contract that have emerged during the reforms of the NHS in Britain that differ from pure fixed price or cost reimbursement contracts. The optimal form depends on whether the provider is entirely self-interested or benevolent in having genuine concern for patient welfare. With fully benevolent providers there are roles for block and cost and volume contracts. With partially benevolent providers, some degree of cost sharing is typically optimal.

Benchmarking↗
PubMed1999

An economic theory of cigarette addiction.

In this paper we present a model in which individuals act in their own best interest, to explain many behaviors associated with cigarette addiction. There are two key features of the model. First, there is an explicit representation of the withdrawal effects experienced when smokers attempt to quit smoking. Second, there is explicit recognition that the negative effects of smoking generally appear late in an individual's life. Among the things we use the model to explain are: (1) how individuals can become trapped in their decision to smoke; (2) the conditions under which cold-turkey quitting and gradual quitting may occur; and (3) a reason for the existence of quit-smoking treatments.

Age Factors↗
PubMed1999

Would you like suspenders to go with that belt? An analysis of optimal combinations of cost sharing and managed care.

When and why would it be efficient for a managed care insurance plan using managerial limits to add patient cost sharing? This paper uses a diagrammatic model to indicate that the use of patient point-of-service cost sharing can cause the managerial limits or guidelines to be less restrictive in limiting high value care for cases of severe illness. The model shows that cost-sharing is more likely to improve efficiency the greater the variation in illness severity and the smaller the degree of moral hazard. The model is extended to the case in which provider cost sharing is also used.

Contract Services↗
PubMed2002

Compensating behaviors, regret, and heterogeneity in the dynamics of smoking behavior.

This paper studied smoking behavior in the context of the interactions among health, smoking, exercise and seeking medical care using a microeconomic model. Based on a dynamic optimal choice theory, a simultaneous equation system was used in the empirical estimation. This study found that smokers with longer smoking history tend to have extra incentives to maintain or improve their health. It was found that they tend to use more medical services and to be more active in exercise than smokers with shorter smoking history. Health status nonlinearly affects smoking decisions. Quitting incentives can be "curative" or "preventive", depending on one's health status. Light smokers' addiction is qualitatively and quantitatively different from heavy smokers'.

Adult↗
PubMed2003

Eliciting preferences of the community for out of hours care provided by general practitioners: a stated preference discrete choice experiment.

Access to primary care services is a major issue as new models of delivering primary care continue develop in many countries. Major changes to out of hours care provided by general practitioners (GPs) were made in the UK in 1995. These were designed in response to low morale and job dissatisfaction of GPs, rather than in response to patients' preferences. The aim of this study is to elicit the preferences of patients and the community for different models of GP out of hours care. A questionnaire was sent to parents of children in Aberdeen and Glasgow in Scotland who had received a home visit or attended a primary care emergency centre, or were registered with a GP. The questionnaire used a discrete choice experiment that asked parents to imagine their child had respiratory symptoms. Parents were then asked to choose between a series of pairs of scenarios, with each scenario describing a different model of out of hours care. Each model varied by waiting time, who was seen, location, and whether the doctor listened. The response rate was 68% (3,893/5,718). The most important attribute was whether the doctor seemed to listen, suggesting that policies aimed at improving doctor-patient communication will lead to the largest improvements in utility. The most preferred location of care was a hospital accident and emergency department. This suggests that new models of primary care emergency centres may not reduce the demand for accident and emergency visits from this group of patients in urban areas. Preferences also differed across sub-groups of patients. Those who had never used out of hours care before had stronger preferences for waiting time and the doctor listening, suggesting higher expectations of non-users. Further research is required into the demand for out of hours care as new models of care become established.

After-Hours Care↗
PubMed2005

Workers' risk of unemployment after traumatic brain injury: a normed comparison.

We examined, among those persons working preinjury, the risk of unemployment 1 year after traumatic brain injury (TBI) relative to expected risk of unemployment for the sample under a validated risk-adjusted econometric model of employment in the U.S. population. Results indicate that 42% of TBI cases were unemployed versus 9% expected, relative risk (RR) = 4.5, 95% confidence interval (CI) (4.12, 4.95). The relative risk for unemployment was higher among males, those with higher education, persons with more severe injuries, and more impaired early neuropsychological or functional status. Difference in unemployment rates gave similar results for gender, severity of injury, and early neuropsychological and functional status. However, for education, the excess was smaller among those more highly educated, but the unemployment rate in the more highly educated in the general population was sufficiently small to yield a larger relative risk. In conclusion, after accounting for underlying risk of unemployment in the general population, unemployment is substantially higher after TBI for people who were employed when they were injured. The differential employment status varies depending on demographics, severity of brain injury, early functional outcome, and neurobehavioral indicators. For characteristics such as education, associated with rates of unemployment in the general population, different methods used to compare the rates may yield different results.

Adult↗
PubMed1999

Estimating hospital inefficiency: does case mix matter?

A two-stage approach is used in a stochastic frontier analysis of the factors affecting hospital efficiency. In the first stage, a translog cost-function is used to estimate inefficiency scores. In the second stage, inefficiency scores are regressed against independent variables to test hypotheses that come from X-inefficiency Theory. The study was based on 1989 data for 195 Pennsylvania acute care hospitals. This data base was chosen because of the availability of patient-level severity of illness data, a measure of output that is not available from most data sources. The stochastic frontier analysis models estimated mean inefficiency scores that ranged from 0.075 to 0.180. The addition of the DRG case mix index (CMI) reduced estimated inefficiency by more than 50%. The incremental effect of a severity of illness variable to an equation with CMI was very small. The second-stage results suggest inefficiency and are inversely associated with regulatory pressures and industry concentration.

Cross-Sectional Studies↗
PubMed2004

A method for analyzing longitudinal outcomes with many zeros.

Health care utilization and cost data have challenged analysts because they are often correlated over time, highly skewed, and clumped at 0. Traditional approaches do not address all these problems, and evaluators of mental health and substance abuse interventions often grapple with the problem of how to analyze these data in a way that accurately represents program impact. Recently, the traditional 2-part model has been extended to mixed-effects mixed-distribution model with correlated random effects to deal simultaneously with excess zeros, skewness, and correlated observations. We introduce and demonstrate this new method to mental health services researchers and evaluators by analyzing the data from a study of assertive community treatment (ACT). The response variable is the number of days of hospitalization, collected every 6 months over 3 years. The explanatory variable is group: ACT vs. standard case management. Diagnosis (schizophrenia vs. bipolar disorder), time, and the baseline values of hospital days are covariates. Results indicate that clients in the ACT group have a higher probability of hospital admission, but tend to have shorter lengths of stay. The mixed-distribution model provides greater specification of a model to fit these data and leads to more refined interpretation of the results.

Adult↗
PubMed2004

State-level estimates of annual medical expenditures attributable to obesity.

OBJECTIVE: To provide state-level estimates of total, Medicare, and Medicaid obesity-attributable medical expenditures. RESEARCH METHODS AND PROCEDURES: We developed an econometric model that predicts medical expenditures. We used this model and state-representative data to quantify obesity-attributable medical expenditures. RESULTS: Annual U.S. obesity-attributable medical expenditures are estimated at $75 billion in 2003 dollars, and approximately one-half of these expenditures are financed by Medicare and Medicaid. State-level estimates range from $87 million (Wyoming) to $7.7 billion (California). Obesity-attributable Medicare estimates range from $15 million (Wyoming) to $1.7 billion (California), and Medicaid estimates range from $23 million (Wyoming) to $3.5 billion (New York). DISCUSSION: These estimates of obesity-attributable medical expenditures present the best available information concerning the economic impact of obesity at the state level. Policy makers should consider these estimates, along with other factors, in determining how best to allocate scarce public health resources. However, because they are associated with large SE, these estimates should not be used to make comparisons across states or among payers within states.

Health Care Costs↗
PubMed1999

Performance: a multi-disciplinary and conceptual model.

We contend that the scientific study of performance requires a model or paradigm. We propose a performance model with an underlying mathematical basis that is well defined, has explicit assumptions and has the potential to be both heuristic and scientifically testable. The model is based on an integration of concepts from health sciences and psychology that have been adapted to performance measurement in health care. The proposed performance model consists of a combination of four primary elements: quality of care, cost of care, access to care and satisfaction. Satisfaction is defined as a function of perceived and expected outcomes of care and perceived and expected input. This performance model can serve as both a tool for understanding and as a vehicle for comparing performance within and between health care organizations. We believe that this model can be used to develop a performance profile report and the future report card.

Delivery of Health Care↗
PubMed2000

The efficient organization of blood donation: what determines the number of donors and donations?

This study investigates the influence of socio-economic characteristics on the number of donors in geographical areas in the North of Scotland as well as the influence of panel-specific characteristics on the number of donations obtained from each panel in the North of Scotland. Econometric models are applied to establish the relationship between these variables. The main findings were that there was no scope for identifying new areas in which to locate new panels or extend the activities of existing panels because the number of donors in an area was closely correlated with population. There was therefore little scope for recruitment of donors by focusing on any particular area. It was found that annual donations per panel are significantly influenced by the number of donors invited, the number of opportunities to donate and the average length of sessions. Combined with cost information, increasing the length of the session appears to be the most cost-effective means of collecting higher volumes.

Blood Banks↗