Crossing the border for dental care: Factors related to dental health among the south Texas border region

Objectives. The purpose of this thesis is to understand the underlying socioeconomic characteristics affecting dental insurance coverage, yearly dental visits, and factors related to visiting a dentist in Mexico among border region residents. Methods. Using data from the Border Epidemiological Study of Aging, dental utilization in the previous 12 months, dental visits to Mexico, and dental insurance (proxy) were calculated utilizing logistic regression. Three different models were utilized for the dependent variables adjusting for diverse socioeconomic characteristics such as gender, age, marital status, income, education, years of residence in the United States (for immigrants), English proficiency, general health status, employment and dental insurance. Results. After adjustment, diverse variables were significant for the three different models calculated. Conclusion. Although the Mexican health market constitutes a viable option for dental services for border residents, dental insurance and dental yearly visits were lower in this region when compared to national averages. ^

The high cost of inappropriate empiric treatment of presumed Clostridium difficile-associated diarrhea

The Center for Disease Control and Prevention (CDC) estimates that more than 2 million patients annually acquire an infection while hospitalized in U.S. hospitals for other health problems, and that 88,000 die as a direct or indirect result of these infections. Infection with Clostridium difficile is the most important common cause of health care associated infectious diarrhea in industrialized countries. The purpose of this study was to explore the cost of current treatment practice of beginning empiric metronidazole treatment for hospitalized patients with diarrhea prior to identification of an infectious agent. The records of 70 hospitalized patients were retrospectively analyzed to determine the pharmacologic treatment, laboratory testing, and radiographic studies ordered and the median cost for each of these was determined. All patients in the study were tested for C. difficile and concurrently started on empiric metronidazole. The median direct cost for metronidazole was $7.25 per patient (95% CI 5.00, 12.721). The median direct cost for laboratory charges was $468.00 (95% CI 339.26, 552.58) and for radiology the median direct cost was $970.00 (95% CI 738.00, 3406.91). Indirect costs, which are far greater than direct costs, were not studied. At St. Luke's, if every hospitalized patient with diarrhea was empirically treated with metronidazole at a median cost of $7.25, the annual direct cost is estimated to be over $9,000.00 plus uncalculated indirect costs. In the U.S., the estimated annual direct cost may be as much as $21,750,000.00, plus indirect costs. ^ An unexpected and significant finding of this study was the inconsistency in testing and treatment of patients with health care associated diarrhea. A best-practice model for C. difficile testing and treatment was not found in the literature review. In addition to the cost savings gained by not routinely beginning empiric treatment with metronidazole, significant savings and improvement in patient care may result from a more consistent approach to the diagnosis and treatment of all patients with health care associated diarrhea. A decision tree model for C. difficile testing and treatment is proposed, but further research is needed to evaluate the decision arms before a validated best practice model can be proposed. ^

A systematic review of literature on socioeconomic disparities in the prevalence of dental caries

Dental caries, also known as tooth decay, are a disease of the oral cavity that affects the tooth structure and leads to the occurrence of cavities in teeth. Dental caries are one of the leading chronic diseases in the population and are very common in childhood. If not treated appropriately, dental caries have debilitating effect on the oral and general health of individuals. ^ Objectives. The aims of this review are to (1) analyze and elucidate the relationship between the social and economic determinants of health like income, education and race/ethnicity and the prevalence of dental caries and (2) identify and understand the pathways/underlying causes through which these factors affect the occurrence of dental caries. This review will provide a foundation for formulation of better oral health policies in future by identifying the key socio-economic factors and pathways affecting the prevalence of dental caries. Knowledge about these socioeconomic factors could be incorporated in the design of future policies and interventions to achieve greater benefits.^ Methods. This review includes information from all pertinent articles, reviews, surveys, reports, peer reviewed literature and web sources that were published after 2000. The selection criterion includes literature focusing on individuals between the ages of 1 to 65 years, and individuals from different subgroups of community based on income, education and race/ethnicity. The analyses of literature include identifying if a relationship between income/education/race and the prevalence of dental caries exists by comparing the prevalence of dental caries in different socio-economic groups. Also included in this review are articles that are relevant to the mechanisms/pathways through which income/education/race affect the prevalence of dental caries.^ Results. Analyses of available literature suggests that disparities in the prevalence of dental caries may be attributed to differences in income, education and race/ethnicity. Higher prevalence of dental caries was observed in African-American and Mexican-American individuals, and in people with low income and low education. The leading pathways through which the socioeconomic factors affect the prevalence of dental caries are the lack of access to dental care, lack of awareness about good oral hygiene beliefs and habits, oral health, inability to afford dental care, lack of social support to maintain oral health and lack of dental insurance.^ Conclusion. Disparities in the prevalence of dental caries exist in various socio-economic groups. The relationship between socio-economic factors and dental caries prevalence should be considered in the development of future policies and interventions that are aimed at reducing the prevalence of dental caries and enhancing oral health status.^

HEALTH CARE COST INCREASES IN METROPOLITAN AREAS

The research project is an extension of the economic theory to the health care field and health care research projects evaluating the influence of demand and supply variables upon medical care inflation. The research tests a model linking the demographic and socioeconomic characteristics of the population, its community case mix, and technology, the prices of goods and services other than medical care, the way its medical services are delivered and the health care resources available to its population to different utilization patterns which, consequently, lead to variations in health care prices among metropolitan areas. The research considers the relationship of changes in community characteristics and resources and medical care inflation.^ The rapidly increasing costs of medical care have been of great concern to the general public, medical profession, and political bodies. Research and analysis of the main factors responsible for the rate of increase of medical care prices is necessary in order to devise appropriate solutions to cope with the problem. An understanding of the community characteristics and resources-medical care costs relationships in the metropolitan areas potentially offers guidance in individual plan and national policy development.^ The research considers 145 factors measuring community milieu (demographic, social, educational, economic, illness level, prices of goods and services other than medical care, hospital supply, physicians resources and techological factors). Through bivariate correlation analysis, the number of variables was reduced to a set of 1 to 4 variables for each cost equation. Two approaches were identified to track inflation in the health care industry. One approach measures costs of production which accounts for price and volume increases. The other approach measures price increases. One general and four specific measures were developed to represent each of the major approaches. The general measure considers the increase on medical care prices as a whole and the specific measures deal with hospital costs and physician's fees. The relationships among changes in community characteristics and resources and health care inflation were analyzed using bivariate correlation and regression analysis methods. It has been concluded that changes in community characteristics and resources are predictive of hospital costs and physician's fees inflation, but are not predictive of increases in medical care prices. These findings provide guidance in the formulation of public policy which could alter the trend of medical care inflation and in the allocation of limited Federal funds.^

The cost of insuring the uninsured in the U.S.

Objectives: This study included two overarching objectives. Through a systematic review of the literature published between 1990 and 2012, the first objective aimed to assess whether insuring the uninsured would result in higher costs compared to insuring the currently insured. Studies that quantified the actual costs associated with insuring the uninsured in the U.S. were included. Based upon 2009 data from the Medical Expenditure Panel Survey (MEPS), the second objective aimed to assess and compare the self-reported health of populations with four different insurance statuses. The second part of this study involved a secondary data analysis of both currently insured and currently uninsured individuals who participated in the MEPS in 2009. The null hypothesis was that there were no differences across the four categories of health insurance status for self-reported health status and healthcare service use. The alternative hypothesis was that were differences across the four categories of health insurance status for self-reported health status and healthcare service use. Methods: For the systematic review, three databases were searched using search terms to identify studies that actually quantified the cost of insuring the uninsured. Thirteen studies were selected, discussed, and summarized in tables. For the secondary data analysis of MEPS data, this study compared four categories of health insurance status: (1) currently uninsured persons who will become eligible for Medicaid under the Patient Protection and Affordable Care Act (PPACA) healthcare reforms in 2014; (2) currently uninsured persons who will be required to buy private insurance through the PPACA health insurance exchanges in 2014; (3) persons currently insured under Medicaid or SCHIP; and (4) persons currently insured with private insurance. The four categories were compared on the basis of demographic information, health status information, and health conditions with relatively high prevalence. Chi-square tests were run to determine if there were differences between the four groups in regard to health insurance status and health status. With some exceptions, the two currently insured groups had worse self-reported health status compared to the two currently uninsured groups. Results: The thirteen studies that met the inclusion criteria for the systematic review included: (1) three cost studies from 1993, 1995, and 1997; (2) four cost studies from 2001, 2003, and 2004; (3) one study of disabilities and one study of immigrants; (4) two state specific studies of uninsured status; and (5) two current studies of healthcare reform. Of the thirteen studies reviewed, four directly addressed the study question about whether insuring the uninsured was more or less expensive than insuring the currently insured. All four of the studies provided support for the study finding that the cost of insuring the uninsured would generally not be higher than insuring those already insured. One study indicated that the cost of insuring the uninsured would be less expensive than insuring the population currently covered by Medicaid, but more expensive to insure than the populations of those covered by employer-sponsored insurance and non-group private insurance. While the nine other studies included in the systematic review discussed the costs associated with insuring the uninsured population, they did not directly compare the costs of insuring the uninsured population with the costs associated with insuring the currently insured population. For the MEPS secondary data analysis, the results of the chi-square tests indicated that there were differences in the distribution of disease status by health insurance status. As anticipated, with some exceptions, the uninsured reported lower rates of disease and healthcare service use. However, for the variable attention deficit disorder, the uninsured reported higher disease rates than the two insured groups. Additionally, for the variables high blood pressure, high cholesterol, and joint pain, the currently insured under Medicaid or SCHIP group reported a lower rate of disease than the two currently insured groups. This result may be due to the lower mean age of the currently insured under Medicaid or SCHIP group. Conclusion: Based on this study, with some exceptions, the costs for insuring the uninsured should not exceed healthcare-related costs for insuring the currently uninsured. The results of the systematic review indicated that the U.S. is already paying some of the costs associated with insuring the uninsured. PPACA will expand health insurance coverage to millions of Americans who are currently uninsured, as the individual mandate and insurance market reforms will require. Because many of the currently uninsured are relatively healthy young persons, the costs associated with expanding insurance coverage to the uninsured are anticipated to be relatively modest. However, for the purposes of construing these results, it is important to note that once individuals obtain insurance, it is anticipated that they will use more healthcare services, which will increase costs. (Abstract shortened by UMI.)^

Vendor payments for medical care under public assistance, by program and type of service : fiscal years 1951-1970.

Cover title.

Annotated bibliography of the National Health Care Expenditures Study.

Shipping list no.: 87-340-P.

The future of health care in America [microform] : hearings before the Subcommittee on Education and Health of the Joint Economic Committee, Congress of the United States, One Hundredth Congress, second session.

"June 14, 16, 21, and 23, 1988"--Pt. 2.

Health care in Illinois, a system in transition : report to the honorable members of the 84th session of the Illinois General Assembly.

Cover title.

Report to Illinois General Assembly regarding the status of health care in Illinois.

Cover title.

The Evolution of national health policy and the Illinois health care delivery system.

Prepared by the Illinois Health Care Cost Containment Council.

Economic implications of rising health care costs.

"October 1992"--Cover.

The impact of PSROs on health care-costs : update of CBO's 1979 evaluation /

Item 1005-C

Health care for the economically disadvantaged--II : hearing before the Subcommittee on Health of the Committee on Finance, United States Senate, Ninety-eighth Congress, second session, September 28, 1984.

Distributed to some depository libraries in microfiche.

Health care costs and lack of access to health insurance : hearings before the Committee on Finance, United States Senate, One Hundred Second Congress, first session.

"April 9 and 16, 1991"--Pt. 1; "June 6, 1991"--Pt. 2.