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The communicable disease impact of eliminating publicly funded prenatal care for undocumented immigrants.

OBJECTIVES: In 1996, California proposed regulations to eliminate publicly funded prenatal care for undocumented immigrants. Prenatal treatment of sexually transmitted infections (STIs) can prevent STI-related adverse outcomes of pregnancy (AOP). The study assessed the STI-related health and economic impact of the proposed regulations in Los Angeles County (LAC). METHODS: We modeled excess STI-related AOPs and associated costs that would occur in LAC as if the regulations were implemented in 1995. Using attributable fractions in the exposed for five STIs and their associated AOPs, we calculated excess STI-related AOPs and their costs that would result from the regulations and the degree to which excess morbidity would offset gross savings. RESULTS: The model indicates that, depending on regulatory level, 74, 110, or 132 excess AOPs would occur subsequent to the regulations, representing lost prevented morbidity. These excess AOPs would cost $5.1, $7.6, or $9.2 million dollars in direct medical expenses, offsetting anticipated savings by 19.2%, 29.0%, or 34.9%. This analysis does not include other costs of these STIs or costs associated with non-STI-related sequelae of diminished prenatal care, all of which could further offset anticipated savings. CONCLUSIONS: The proposed regulations would likely lead to increased STI-related morbidity and costs, thereby offsetting anticipated savings. Health departments are in a special position to promptly respond to policy issues affecting vulnerable populations. The development of a practical and rational framework for local-level policy assessment can be important for encouraging good scientific approaches that respond to calls for reductions in basic preventive health services.

California↗

Gender differences in the management of risk factors for cardiovascular disease: the importance of insurance status.

Despite cardiovascular disease (CVD) being the leading killer of both sexes in the US, there are indications that men and women have different experiences in the health system with prevention and treatment practices. Beyond largely descriptive findings, little research exists that addresses how men and women may differ in their response to certain key influences on CVD health services utilization. This paper examines gender differentials in the effect of insurance coverage on CVD preventive health services in the US. An economics framework is used to model individual demand for preventive services as a function of insurance status, while controlling for a comprehensive set of explanatory variables. The services analyzed include cholesterol and blood pressure screening, pharmaceutical use for hypertension and lipid disorders, and CVD-related physician visits. Both general and high-risk samples are evaluated. The results show that while a lack of insurance is associated with lower rates of utilization in both men and women, there are no observed gender differences in insurance-effects for recommended intervals of risk factor screening in the general population. However, for individuals with previously diagnosed heart disease or stroke, a lack of coverage is more strongly associated with lower rates of screening, pharmaceutical management, and physician contact in women than men. Potential reasons for these findings are discussed and policy implications are noted.

Cardiovascular Diseases↗

Economic evaluation of galantamine in the treatment of mild to moderate Alzheimer's disease in the United States.

BACKGROUND: Alzheimer's disease (AD) is estimated to affect up to 11% of those aged > or =65 years in the United States, and the number of patients with AD is predicted to increase over the next few decades as the population ages. The substantial social and economic burden associated with AD is well established, with the cost of management increasing as the disease progresses. OBJECTIVE: The aim of this study was to evaluate the economic impact of galantamine 16 and 24 mg/d relative to no pharmacologic treatment in the management of mild to moderate AD in the United States based on the concept of need for full-time care (FTC). METHODS: Calculations were made using the Assessment of Health Economics in Alzheimer's Disease model, which applies predictive equations to estimate the need for FTC and the associated costs. The predictive equations were developed from longitudinal data on patients with AD. Inputs to the equations were derived by analyzing the data from 2 randomized, placebo-controlled, galantamine clinical trials. Resource use (from a payer perspective) was estimated from US clinical trial data, and costs were estimated from several US databases. Analyses were carried out over 10 years, and costs and benefits were discounted at 3%. RESULTS: In the base case, 3.9 to 4.6 patients need to start treatment with galantamine to avoid 1 year of FTC, depending on dose. Treated patients spent 7% to 8% more time pre-FTC and 12% to 14% less time requiring FTC, resulting in savings of 2408 to 3601 US dollars. Time horizons below 3 years, very high discontinuation rates, or increased survival with galantamine reversed the savings. Conversely, limiting treatment to responders delayed FTC by 6 to 7 months, with savings of approximately 9097 to 11,578 US dollars. CONCLUSIONS: These results suggest that use of galantamine in patients with AD in the United States could reduce the use of costly resources such as formal home care and nursing homes, leading to cost savings over time.

Aged↗

An economic assessment of Apligraf (Graftskin) for the treatment of hard-to-heal venous leg ulcers.

Several recent advances in wound care may offer promise for the treatment of hard-to-heal venous leg ulcers. One such treatment is Apligraf (Graftskin), a bilayered, living human skin construct. To assess the economic impact of Graftskin, a model was constructed to compare the annual medical costs and cost-effectiveness of treating hard-to-heal venous leg ulcers with Graftskin vs. compression therapy using Unna's boot. A semi-Markov model was used to describe the pattern of ulcer treatment, healing, and recurrence among patients with venous leg ulcers. Patients received 1 of 2 treatment regimens, Graftskin or Unna's boot, and were followed in the model for a 12-month period. The analysis was done from the perspective of a commercial health plan; therefore, only direct medical costs were included. Health care resource use included the primary therapeutic intervention, additional compression dressings, physician office visits, home health visits, laboratory tests and procedures, management of adverse events, and hospitalizations. The model estimated the annual medical cost of managing patients with hard-to-heal venous leg ulcers to be $20,041 for those treated with Graftskin and $27,493 for those treated with Unna's boot. In addition, treatment with Graftskin led to approximately 3 more months in the healed state per person per year than did treatment with Unna's boot. Because patients treated with Graftskin experienced improved healing compared with those treated with compression therapy using Unna's boot, they required fewer months of treatment for unhealed ulcers. As a result, the use of Graftskin for treating hard-to-heal venous leg ulcers resulted in lower overall treatment costs.

Collagen↗

The role of economic evaluation in infection control.

Given the rise in health care-related expenditures, decision-makers are increasingly relying on both clinical effectiveness and economic efficiency when making health care decisions. The field of infection control is not immune to this rise in cost-consciousness among health care managers. This article clarifies the role of economic evaluation within infection control for both the user and producer of economic evaluations in this field. The strengths and drawbacks of the several different types of economic analysis--cost minimization, cost-effectiveness, cost-benefit, and cost utility analysis--will be discussed. Additionally, the important features of two specific methods used for economic evaluation-decision analytic modeling and economic analysis alongside a clinical trial-will be outlined. Finally, the criteria by which economic analyses should be judged will be provided. As economic evaluation and health services research continue to play an increasingly important role in health care, it will be vital for infection control advocates to partner with individuals from diverse fields to give decision-makers the type of information they need to make choices.

Clinical Trials as Topic↗

Cervical screening programmes: can automation help? Evidence from systematic reviews, an economic analysis and a simulation modelling exercise applied to the UK.

OBJECTIVES: To assess the effectiveness and cost-effectiveness of adding automated image analysis to cervical screening programmes. DATA SOURCES: Searching of all major electronic databases to the end of 2000 was supplemented by a detailed survey for unpublished UK literature. METHOD: Four systematic reviews were conducted according to recognised guidance. The review of 'clinical effectiveness' included studies assessing reproducibility and impact on health outcomes and processes in addition to evaluations of test accuracy. A discrete event simulation model was developed, although the economic evaluation ultimately relied on a cost-minimisation analysis. RESULTS: The predominant finding from the systematic reviews was the very limited amount of rigorous primary research. None of the included studies refers to the only commercially available automated image analysis device in 2002, the AutoPap Guided Screening (GS) System. The results of the included studies were debatably most compatible with automated image analysis being equivalent in test performance to manual screening. Concerning process, there was evidence that automation does lead to reductions in average slide processing times. In the PRISMATIC trial this was reduced from 10.4 to 3.9 minutes, a statistically significant and practically important difference. The economic evaluation tentatively suggested that the AutoPap GS System may be efficient. The key proviso is that credible data become available to support that the AutoPap GS System has test performance and processing times equivalent to those obtained for PAPNET. CONCLUSIONS: The available evidence is still insufficient to recommend implementation of automated image analysis systems. The priority for action remains further research, particularly the 'clinical effectiveness' of the AutoPap GS System. Assessing the cost-effectiveness of introducing automation alongside other approaches is also a priority.

Automation↗

[A cost-benefit analysis of different therapeutic methods in menorrhagia].

When deciding the right forms of treatment for various medical conditions it has been usual to consider medical knowledge, norms and experience. Increasingly, economic factors and principles are being introduced by the management, in the form of health economics and pharmaco-economic analyses, enforced as budgetary cuts and demands for rationalisation and measures to increase efficiency. Economic evaluations require construction of models for analyses. We have used DRG-information, National Health reimbursements and pharmacological retail prices to make a cost-efficiency analysis of treatments of menorrhagia. The analysis showed better cost-efficiency for certain pharmacological treatments than for surgery.

Adult↗

A clinical outcomes and cost analysis comparing photoselective vaporization of the prostate to alternative minimally invasive therapies and transurethral prostate resection for the treatment of benign prostatic hyperplasia.

PURPOSE: We critically evaluated the clinical outcomes and cost characteristics of alternative procedural treatment options for symptomatic benign prostatic hyperplasia. MATERIALS AND METHODS: An outcomes and cost analysis was performed for benign prostatic hyperplasia treatments, including photoselective vaporization, microwave thermotherapy, transurethral needle ablation, interstitial laser coagulation and transurethral resection. Clinical outcomes were measured by the percent improvement in American Urological Association/International Prostate Symptom Score, the maximum uroflowmetry rate and quality of life score. An economic simulation model was constructed to estimate the expected cost of benign prostatic hyperplasia procedural therapies from a payer perspective. The model included costs of initial treatment, followup care, adverse events and re-treatment. Sensitivity and threshold analyses tested the impact of changing model inputs on base case results. RESULTS: Ablative therapies showed better improvement in symptom score, flow rate and quality of life score compared to thermotherapy procedures. Photoselective vaporization resulted in the largest beneficial changes in American Urological Association/International Prostate Symptom Score, the maximum uroflowmetry rate and the quality of life score at all time points evaluated, followed by transurethral resection and then interstitial laser coagulation. The estimated cost was lower for photoselective vaporization than for any other procedural option at any interval studied. Sensitivity analyses indicated that the results of baseline analyses were robust to reasonable changes in clinical and economic inputs to the model. CONCLUSIONS: Compared to alternative treatment options photoselective vaporization of the prostate is a clinically efficacious and cost-effective treatment for symptomatic benign prostatic hyperplasia.

Cost-Benefit Analysis↗

A role for two-stage pharmacoeconomic appraisal? Is there a role for interim approval of a drug for reimbursement based on modelling studies with subsequent full approval using phase III data?

Healthcare decision makers and pharmaceutical companies are increasingly using techniques of economic evaluation, particularly modelling, to assist them in their decisions about drug purchasing and drug development. The use of models in other types of policy decisions is also well established. One option, to shorten the time to a purchasing decision, would be for an interim decision for approval for reimbursement to be based on an economic model. Such a system would mainly benefit the drug development process and thus the pharmaceutical industry; however the approach could also lead to poor decision making, unethical marketing and withdrawal of drugs from the consumer. In this article, we consider the option of a two-stage economic appraisal process from the point of view of the seller, the purchaser and the patient and public. Although a two-stage process may offer some advantages in terms of early return on investment and access, there are significant disadvantages in terms of certainty about effects and public policy and expenditure. Until there are better methods of predicting the effectiveness of a new product, it is unlikely that interim decisions can be seen as a reasonable health policy alternative, although it seems likely that industry may continue to lobby for such an approach.

Australia↗

Driven to market.

Explore the source record for details and available documents.

Behavior↗

The use of decision models in mental health economic evaluation: challenges and opportunities.

A number of reasons have been suggested for the increased use of decision-analytic modelling in assessing the cost-effectiveness of mental health interventions: (1) the need to rapidly assess the value-for-money of new pharmaceuticals; (2) the short time horizon of clinical trials in mental health; (3) the lack of head-to-head comparisons between alternative treatment strategies; and (4) the necessity to generalise the study results. As simulation exercises become more widely accepted and used to inform policy making decisions, a trend towards more sophisticated modelling structures is starting to emerge. This paper undertakes a structured critical appraisal of cost-effectiveness modelling studies, using published examples relating to available drug treatments for schizophrenia and Alzheimer's disease (AD). The models identified display some methodological heterogeneity in terms of the choice of comparator, costing methodology, timeframe and perspective of the analysis, target population and model structure. The use of 'state-of-the-art' techniques, such as value-of-information analysis and probabilistic-sensitivity analysis has been somewhat limited. Health service researchers need to make sure that the best available techniques are employed to maximise the use of the information already available.

Cost-Benefit Analysis↗

Economic burden of hepatitis C in Canada and the potential impact of prevention. Results from a disease model.

This Canadian hepatitis C model estimates economic burden of disease using Markov modeling to predict progression over 11 health states annually from 2001 to 2040. Incidence-based estimates help demonstrate the capability to determine cost-effectiveness of programs to prevent different proportions of incident cases. Benefits of prevention increase linearly with the number of incident cases prevented. The model forecasts annual health care costs for the treatment of HCV-related disease ranging from $103 to $158 million over time. Health care costs attributable to 2001 incidence cohort are forecast at $14.6 million for prevention. The increasing cost of HCV provides a framework for further analysis and implementation of long-term policies aimed at appropriate allocation of resources for health in Canada.

Canada↗

Partnership economics: nursing's challenge in a quantum age.

While the task of ascribing economic value to human caring is incredibly complex, Eisler (1998) reminds us that economic systems can and do change--and all our economic institutions are human creations. Humans can create new economic rules that recognize caring as the most foundational economically productive work (Eisler, 1998). In selected situations, the work of nursing has enormous economic value and new research continues to emerge which support our intuitive beliefs about the economic value of nursing's work (Levinson, Roter, & Frankel, 1997; Revans, 1964; Salmond, 1972). The future of health care requires that this work continues. The value of developing conscious economic inventions for nursing has the potential to assist nursing in its cost-effectiveness analysis, document the economic value of caring behaviors, inspire recruitment, and decrease the number of nurses leaving the profession. Nursing is challenged to shift its consciousness to one that is based on the value equation of quality, cost, and service. We are challenged to recognize the need to build a more equitable and humane economic system that gives real value to the work of caring, and to partner with other health care leaders, policy analysts, and economists in the process. Ultimately, developing economic measurements for the redefined work in nursing will require significant changes in economic measurements, institutions, rules as well as social norms, customs, and laws to quantify those goods not traditionally valued. The focus and energy of the nursing profession must move beyond overwhelming notions of loss and change; to challenging leadership to actively write and produce a better script for health in America beyond what we have developed over the past century. Indeed, this work is the requisite for the profession if what our children receive is the next level of enhancement from that which this generation obtained. It is no longer an option in creating a preferred future, it is nursing's mandate.

Economics, Nursing↗

Balancing the number and size of sites: an economic approach to the optimal design of cluster samples.

The design of randomized controlled trials entails decisions that have economic as well as statistical implications. In particular, the choice of an individual or cluster randomization design may affect the cost of achieving the desired level of power, other things being equal. Furthermore, if cluster randomization is chosen, the researcher must decide how to balance the number of clusters, or "sites," and the size of each site. This article investigates these interrelated statistical and economic issues. Its principal purpose is to elucidate the statistical and economic trade-offs to assist researchers to employ randomized controlled trials that have desired economic, as well as statistical, properties.

Cluster Analysis↗

Modelling the health-economic impact of the next influenza pandemic in The Netherlands.

To optimally develop or adjust national contingency plans to respond to the next influenza pandemic, we developed a decision type model and estimated the total health burden and direct medical costs during the next possible influenza pandemic in the Netherlands on the basis of health care burden during a regular epidemic. Using an arithmetic decision tree-type model we took into account population characteristics, varying influenza attack rates, health care consumption according to the Dutch health care model and all-cause mortality. Actual direct medical cost estimates were based on the Dutch guidelines for pharmaco-economic evaluation. In the base-case scenario with no preventive measure available and an average influenza attack rate of 30%, 4,958,188 influenza infections, 1,552,687 GP consultations, 83,515 hospitalizations and 173,396 deaths will take place in The Netherlands. The burden is highest in adults aged 20 to 64 years. If minimizing the total mortality and sustaining highest net economic returns is the objective, this group needs to be targeted in interventions.

Adult↗