Gender bias in cardiovascular testing persists after adjustment for presenting characteristics and cardiac risk.

OBJECTIVES: Previous studies have found that female patients receive fewer invasive tests for cardiovascular disease than male patients. The authors assessed whether different clinical characteristics at emergency department presentation account for this gender bias. METHODS: Patients with potential acute coronary syndrome (ACS) who presented to a university hospital were prospectively identified. A structured data instrument that included demographic information, chest pain description, history, physical examination, chest radiography, and electrocardiogram (ECG) data was completed. Hospital course was tracked daily. Patients received 30-day telephone follow-up. The main outcome was whether the patients received objective evaluation for coronary artery disease after adjustment for cardiac risk, including race, age, total number of risk factors, Thrombolysis in Myocardial Infarction (TIMI) score, ECG, and whether the patient sustained an acute myocardial infarction on index hospitalization. RESULTS: There were 3,514 women (58%) and 2,547 men (42%) studied. They had similar presenting characteristics: chest pain quality (pressure/tightness: female 60% vs. male 59%, p = 0.6), location (substernal: female 82% vs. male 80%; p = 0.2), radiation (female 27% vs. male 26%; p = 0.3), and most associated symptoms. Men had more cardiac risk factors (mean 1.5 vs 1.4; p < 0.001), more abnormal ECGs (59% vs. 48%; p < 0.001), and a higher TIMI risk score (p < 0.001). With respect to the main outcome, men received more cardiac catheterizations (12.6% vs. 6.0%; odds ratio [OR], 2.25; 95% confidence interval [CI] = 1.88 to 2.70) and more stress tests (14.7% vs. 12.3%; OR, 1.22; 95% CI = 1.05 to 1.42). After adjustment for age, race, cardiac risk factors, ECG, and TIMI risk score, men still received more cardiac catheterizations (adjusted OR, 1.72; 95% CI = 1.40 to 2.11) and stress tests (adjusted OR, 1.16; 95% CI = 1.01 to 1.33). Models adjusting for acute myocardial infarction or death, high-risk initial clinical impression, or emergency department disposition found similar results for increased likelihood of cardiac catheterization in men but no difference in stress testing between men and women. CONCLUSIONS: Female patients with potential ACS receive fewer cardiac catheterizations than male patients, even when presenting complaint, history, ECG, and diagnosis are taken into account. The gender bias cannot be explained by differences in presentation or clinical course.

Proportional odds ratio model for comparison of diagnostic tests in meta-analysis.

BACKGROUND: Consider a meta-analysis where a 'head-to-head' comparison of diagnostic tests for a disease of interest is intended. Assume there are two or more tests available for the disease, where each test has been studied in one or more papers. Some of the papers may have studied more than one test, hence the results are not independent. Also the collection of tests studied may change from one paper to the other, hence incomplete matched groups. METHODS: We propose a model, the proportional odds ratio (POR) model, which makes no assumptions about the shape of ORp, a baseline function capturing the way OR changes across papers. The POR model does not assume homogeneity of ORs, but merely specifies a relationship between the ORs of the two tests. One may expand the domain of the POR model to cover dependent studies, multiple outcomes, multiple thresholds, multi-category or continuous tests, and individual-level data. RESULTS: In the paper we demonstrate how to formulate the model for a few real examples, and how to use widely available or popular statistical software (like SAS, R or S-Plus, and Stata) to fit the models, and estimate the discrimination accuracy of tests. Furthermore, we provide code for converting ORs into other measures of test performance like predictive values, post-test probabilities, and likelihood ratios, under mild conditions. Also we provide code to convert numerical results into graphical ones, like forest plots, heterogeneous ROC curves, and post test probability difference graphs. CONCLUSIONS: The flexibility of POR model, coupled with ease with which it can be estimated in familiar software, suits the daily practice of meta-analysis and improves clinical decision-making.

Diagnosing Crohn's disease: an economic analysis comparing wireless capsule endoscopy with traditional diagnostic procedures.

The purpose of this study was to review economic considerations related to establishing a diagnosis of Crohn's disease, and to compare the costs of a diagnostic algorithm incorporating wireless capsule endoscopy (WCE) with the current algorithm for diagnosing Crohn's disease suspected in the small bowel. Published literature, clinical trial data on WCE in comparison to other diagnostic tools, and input from clinical experts were used as data sources for (1) identifying contributors to the costs of diagnosing Crohn's disease; (2) exploring where WCE should be placed within the diagnostic algorithm for Crohn's; and (3) constructing decision tree models with sensitivity analyses to explore costs (from a payor perspective) of diagnosing Crohn's disease using WCE compared to other diagnostic methods. Literature review confirms that Crohn's disease is a significant and growing public health concern from clinical, humanistic and economic perspectives, and results in a long-term burden for patients, their families, providers, insurers, and employers. Common diagnostic procedures include radiologic studies such as small bowel follow through (SBFT), enteroclysis, CT scans, ultrasounds, and MRIs, as well as serologic testing, and various forms of endoscopy. Diagnostic costs for Crohn's disease can be considerable, especially given the cycle of repeat testing due to the low diagnostic yield of certain procedures and the inability of current diagnostic procedures to image the entire small bowel. WCE has a higher average diagnostic yield than comparative procedures due to imaging clarity and the ability to visualize the entire small bowel. Literature review found the average diagnostic yield of SBFT and colonoscopy for work-up of Crohn's disease to be 53.87%, whereas WCE had a diagnostic yield of 69.59%. A simple decision tree model comparing two arms--colonoscopy and SBFT, or WCE--estimates that WCE produces a cost savings of 291dollars for each case presenting for diagnostic work-up for Crohn's. Sensitivity analysis varying diagnostic yields of colonoscopy and SBFT vs. WCE demonstrates that WCE is still less costly than SBFT and colonoscopy even at their highest reported yields, as long as the diagnostic yield of WCE is 64.10% or better. Employing WCE as a first-line diagnostic procedure appears to be less costly, from a payor perspective, than current common procedures for diagnosing suspected Crohn's disease in the small bowel. Although not addressed in this model, earlier diagnosis with WCE (due to higher diagnostic yield) also could lead to earlier management, improved quality of life and workplace productivity for people with Crohn's disease.

Determining cost-effectiveness and cost component of three malaria diagnostic models being used in remote non-microscope areas.

This cross-sectional experimental study developed a methodology to analyze the cost-effectiveness of three malaria diagnostic models: microscopy; on-site OptiMAL; and on-site Immunochromatographic Test (on-site ICT), used in remote non-microscope areas in Thailand, from both a public provider and patient perspective. The study covered six areas in two highly malaria-endemic areas of provinces located along the Thai-Myanmar border. The study was conducted between April and October 2000, by purposively recruiting 436 malaria suspected cases attending mobile malaria clinics. Each patient was randomly selected to receive service via the three diagnostic models; their accuracy was 95.17%, 94.48% and 89.04%, respectively. In addition, their true positive rates for all malaria species were 76.19%, 82.61% and 73.83%; for falciparum malaria 85.71%, 80.95% and 80.00%, and for vivax malaria 57.14%, 100% and 50%, respectively, with the parasitemia ranging from 80 to 58,240 microl of blood. Consequently, their costs were determined by dividing into provider and consumer costs, which were consequently classified into internal and external costs. The internal costs were the costs of the public providers, whereas the external costs were those incurred by the patients. The aggregate costs of these three models were 58,500.35, 36,685.91, and 40,714.01 Baht, respectively, or 339.53, 234.39, and 243.93, in terms of unit costs per actual case. In the case of microscopy, if all suspected malaria cases incurred forgone opportunity costs of waiting for treatment, the aggregate cost and unit cost per actual case were up to 188,110.89 and 944.03 Baht, respectively. Accordingly, the cost-effectiveness for all malaria species, using their true positive rates as the effectiveness indicator, was 446.75, 282.40, and 343.56 respectively, whereas for falciparum malaria it was 394.80, 289.37 and 304.91, and for vivax malaria 595.67, 234.39 and 487.86, respectively. This study revealed that the on-site OptiMAL was the most cost-effective. It could be used to supplement or even replace microscopy for this criteria in general. This study would be of benefit to malaria control program policy makers to consider using RDT technology to supplement microscopy in remote non-microscope areas.

Correct coding for the orthopedic surgeon.

Coding accurately is one of the main principles of a successful practice. Some changes that we will see shortly include deletion of the term "separate procedure," deletion of the term "with and/or without," deletion of the term "any method," revision of the criteria for choosing E/M levels, and 52 new and revised Hand Surgery codes. Some other changes to come will be category II and category III codes. More changes are occurring as this is written, and the best advice is to stay tuned. It is obvious to the authors that coding is mainly for reimbursement purposes. The orthopedic surgeon must remain vigilant and must not pass this task on to someone else. Ignorance of coding methods is not an excuse [2]. We must all watch carefully and speak up when necessary. In this day of decreasing reimbursement, we can all increase our revenue stream without working any harder if we code our work properly, completely, and promptly.

E/M coding problems plague physicians, coders.

As the government turns its high beams on fraudulent billing, physician E/M coding is raising questions. With several studies spotlighting the difficulty physicians have in applying CPT E/M codes, the authors wanted to know if credentialed coders had the same problem. Here's what they found.

The Medicaid Rx model: pharmacy-based risk adjustment for public programs.

BACKGROUND: Risk adjustment models typically use diagnoses from claims or encounter records to assess illness severity. However, concerns about the availability and reliability of diagnostic data raise the potential for alternative methods of risk adjustment. Here, we explore the use of pharmacy data as an alternative or complement to diagnostic data in risk adjustment. OBJECTIVES: To develop and test a pharmacy-based risk adjustment model for SSI and TANF Medicaid populations. RESEARCH DESIGN: Pharmacological review combined with empirical evaluation. We developed the Medicaid Rx model, a system that classifies a subset of the National Drug Codes into categories that can be used for risk-assessment and risk-adjusted payment. SUBJECTS: Subjects consisted of 362,370 persons with disability and 1.5 million AFDC and TANF beneficiaries in California, Colorado, Georgia, and Tennessee during 1990-1999. MEASURES: We compare pharmacy and diagnostic classification for three chronic diseases. We also compare R2 statistics and use simulated health plans to evaluate the performance of alternative models. RESULTS: Pharmacy and diagnostic classification vary in their ability to identify specific chronic disease. Using simulated plans, diagnostic models are better at predicting expenditures than are pharmacy-based models for disabled Medicaid beneficiaries, although the models perform similarly for TANF Medicaid beneficiaries. Models that combine diagnostic and pharmacy data have superior overall performance. CONCLUSIONS: The performance of risk adjustment models using a combination of pharmacy and diagnostic data are superior to that of models using either data source alone, particularly among TANF beneficiaries. Concerns regarding variations in prescribing patterns and the incentives that may follow from linking payment to pharmacy use warrant further research.

Diagnóstico y manejo de lesiones expansivas orbitrarias que causan exoftalmos unilateral oftalmologica: Hospital de la Mujer "Bertha Calderón Roque" / Diagnose and de handling the lesions expansible orbitarias that they cause unilateral exoftalmos: oftalmologia Hospital of the Woman \"Bertha Calderón Roque\"

Se realizó un estudio retrospectivo de 11 casos de lesiones expansivas de la orbita que causaban exoftalmos unilateral los que fueron ingresados en el servicio de oftalmología del Hospital Bertha Calderón Roque, durante el período de febrero de 1987 a noviembre de 1989. Los hallazgos fueron ordenados de acuerdo a las categorías más importantes signos y sintomas predominates,examenes, diagnósticos determinates, tratamiento y prónostico de cada uno de lospacientes. La agudez visual, sintoma preponderante, se encontraba alterada en todos los pacientes, según escala de medición de la AV en pies con los optotipos de Shellen, 20/50 o más, sin coreccuon fue encontrada en 7 pacientes, y la ceguera total en 4 de ellos