Which hospitals have significantly better or worse than expected mortality rates for acute myocardial infarction patients? Improved risk adjustment with present-at-admission diagnoses.

BACKGROUND: Public reports that compare hospital mortality rates for patients with acute myocardial infarction are commonly used strategies for improving the quality of care delivered to these patients. Fair comparisons of hospital mortality rates require thorough adjustments for differences among patients in baseline mortality risk. This study examines the effect on hospital mortality rate comparisons of improved risk adjustment methods using diagnoses reported as present-at-admission. METHODS AND RESULTS: Logistic regression models and related methods originally used by California to compare hospital mortality rates for patients with acute myocardial infarction are replicated. These results are contrasted with results obtained for the same hospitals by patient-level mortality risk adjustment models using present-at-admission diagnoses, using 3 statistical methods of identifying hospitals with higher or lower than expected mortality: indirect standardization, adjusted odds ratios, and hierarchical models. Models using present-at-admission diagnoses identified substantially fewer hospitals as outliers than did California model A for each of the 3 statistical methods considered. CONCLUSIONS: Large improvements in statistical performance can be achieved with the use of present-at-admission diagnoses to characterize baseline mortality risk. These improvements are important because models with better statistical performance identify different hospitals as having better or worse than expected mortality.

Present-at-admission diagnoses improved mortality risk adjustment among acute myocardial infarction patients.

OBJECTIVE: Hospital mortality outcomes for acute myocardial infarction (AMI) patients are a focus of quality improvement programs conducted by government agencies. AMI mortality risk-adjustment models using administrative data typically adjust for baseline differences in mortality risk with a limited set of common and definite comorbidities. In this study, we present an AMI mortality risk-adjustment model that adjusts for comorbid disease and for AMI severity using information from secondary diagnoses reported as present at admission for California hospital patients. STUDY DESIGN AND SETTING: AMI patients were selected from California hospital administrative data for 1996 through 1999 according to criteria used by the California Hospital Outcomes Project Report on Heart Attack Outcomes, a state-mandated public report that compares hospital mortality outcomes. We compared results for the new model to two mortality risk-adjustment models used to assess hospital AMI mortality outcomes by the state of California, and to two other models used in prior research. RESULTS: The model using present-at-admission diagnoses obtained substantially better discrimination between predicted survival and inpatient death than the other models we considered. CONCLUSION: AMI mortality risk-adjustment methods can be meaningfully improved using present-at-admission diagnoses to identify comorbid disease and conditions related closely to AMI.

Repeated-measures modeling improved comparison of diagnostic tests in meta-analysis of dependent studies.

OBJECTIVE: Current methods for meta-analysis of diagnostic tests do not allow utilizing all the information from papers in which several tests have been studied on the same patient sample. We demonstrate how to combine several studies of diagnostic tests, where each study reports on more than one test and some tests (but not necessarily all of them) are shared with other papers selected for the meta-analysis. We adopt statistical methodology for repeated measurements for the purpose of meta-analysis of diagnostic tests. STUDY DESIGN AND SETTING: The method allows for missing values of some tests for some papers, takes into account different sample sizes of papers, adjusts for background and confounding factors including test-specific covariates and paper-specific covariates, and accounts for correlations of the repeated measurements within each paper. It does not need individual-level data, although it can be modified to use them, and uses the two-by-two table of test results vs. gold standard. RESULTS: The results are translated from diagnostic odds ratios (DOR) to more clinically useful measures such as predictive values, post-test probabilities, and likelihood ratios. Models to capture between-study variation are introduced. The fit and influence of specific studies on the regression can be evaluated. Furthermore, model-based tests for homogeneity of DORs across papers are presented. CONCLUSION: The use of this new method is illustrated using a recent meta-analysis of the D-dimer test for the diagnosis of deep venous thrombosis.

Improving smoking cessation counseling using a point-of-care health intervention tool (IT): from the Virginia Practice Support and Research Network (VaPSRN).

PURPOSE: Primary care practices are an ideal setting for reducing national smoking rates because >70% of smokers visit their physician annually, yet smoking cessation counseling is inconsistently delivered to patients. We designed and created a novel software program for handheld computers and hypothesized that it would improve clinicians' ability to provide patient-tailored smoking cessation counseling at the point of care. METHODS: A handheld computer software program was created based on smoking cessation guidelines and an adaptation of widely accepted behavioral change theories. The tool was evaluated using a validated before/after survey to measure physician smoking cessation counseling behaviors, knowledge, and comfort/self-efficacy. RESULTS: Participants included 17 physicians (mean age, 41 years; 71% male; 5 resident physicians) from a practice-based research network. After 4 months of use in direct patient care, physicians were more likely to advise patients to stop smoking (P = .049) and reported an increase in use of the "5 As" (P = .03). Improved self-efficacy in counseling patients regarding smoking cessation (P = .006) was seen, as was increased comfort in providing follow-up to patients (P = .04). CONCLUSIONS: Use of a handheld computer software tool improved smoking cessation counseling among physicians and shows promise for translating evidence about smoking cessation counseling into practice and educational settings.

Responding to a changing nation: are faculty prepared for cross-cultural conversations and care?

BACKGROUND AND OBJECTIVES: The United States is becoming increasingly diverse. Health disparities continue with little improvement despite national policies and standards. Medical institutions are modifying their curricula; however, little is known about faculty attitudes and comfort in addressing cultural issues. The purpose of this study was to determine faculty attitudes, self-perceived levels of comfort and skill, and future knowledge needs pertaining to cultural competence. METHODS: A survey was administered to all clinical faculty at the University of Virginia School of Medicine. Survey questions addressed faculty attitudes and self-perceived levels of comfort and skill in dealing with cultural issues, as well as perceived need and interest in future cultural competence training. RESULTS: When considering each phase of education (medical school, residency, continuing medical education [CME]), fewer than 25% of the respondents reported receiving formal instruction in cultural competency in any given phase, although 93% felt that cultural competency training was important. Fifty-eight percent felt "very comfortable" caring for diverse patients, although this dropped to 30% when specifying limited English proficiency. The situation in which the highest percentage of respondents felt "not particularly comfortable" or "not at all comfortable" was breaking bad news to a patient's family first if this was more culturally appropriate (47%). Respondents felt most skilled in working with medical interpreters, apologizing for cross-cultural misunderstandings, and eliciting the patients' perspectives about their health and illness. Respondents felt the least skilled providing culturally sensitive end-of-life care and dealing with cross-cultural conflicts. CONCLUSIONS: Clinical faculty have received limited instruction on cultural competency, and the reported levels of comfort and skill in many challenging areas of multicultural health leave much room for improvement. Until faculty become more comfortable and are able to model and teach these behaviors to learners, positive responses to national policies in culturally competent care are likely to be limited.

Foreign bodies in the ear, nose, and throat.

Foreign bodies in the ear, nose, and throat are occasionally seen in family medicine, usually in children. The most common foreign bodies are food, plastic toys, and small household items. Diagnosis is often delayed because the causative event is usually unobserved, the symptoms are nonspecific, and patients often are misdiagnosed initially. Most ear and nose foreign bodies can be removed by a skilled physician in the office with minimal risk of complications. Common removal methods include use of forceps, water irrigation, and suction catheter. Pharyngeal or tracheal foreign bodies are medical emergencies requiring surgical consultation. Radiography results are often normal. Flexible or rigid endoscopy usually is required to confirm the diagnosis and to remove the foreign body. Physicians need to have a high index of suspicion for foreign bodies in children with unexplained upper airway symptoms. It is important to understand the anatomy and the indications for subspecialist referral. The evidence is inadequate to make strong recommendations for specific removal techniques.

Preventing postpartum hemorrhage: managing the third stage of labor.

Postpartum hemorrhage is a significant cause of maternal morbidity and mortality. Most postpartum hemorrhages are caused by uterine atony and occur in the immediate postpartum period. Expectant or physiologic management of the third stage of labor has been compared with active management in several studies. Active management involves administration of uterotonic medication after the delivery of the baby, early cord clamping and cutting, and controlled traction of the umbilical cord while awaiting placental separation and delivery. Good evidence shows that active management of the third stage of labor provides a better balance of benefits and harms and should be practiced routinely to decrease the risk of postpartum hemorrhage. Oxytocin, ergot alkaloids, and prostaglandins have been compared, as have timing and route of administration of these uterotonic medications. Oxytocin is the uterotonic agent of choice; it can be administered as 10 units intramuscularly or as 20 units diluted in 500 mL normal saline as an intravenous bolus, and can safely and effectively be given to the mother with the delivery of the baby or after the delivery of the placenta.

D-dimer testing for deep venous thrombosis: a metaanalysis.

BACKGROUND: The use of D-dimer assays as a rule-out test for deep venous thrombosis (DVT) is controversial. To clarify this issue we performed a systematic review of the relevant literature. METHODS: We identified eligible studies, using MEDLINE entries from February 1995 through October 2003, supplemented by a review of bibliographies of relevant articles. Studies reporting accuracy evaluations comparing D-dimer test results with lower extremity ultrasound or venography in symptomatic patients with suspected acute DVT were selected for review. Two reviewers critically appraised each study independently according to previously established methodologic standards for diagnostic test research. Those studies judged to be of highest quality were designated Level 1. RESULTS: The 23 Level 1 studies reported data on 21 different D-dimer assays. There was wide variation in assay sensitivity, specificity, and negative predictive values, and major differences in methodology of reviewed studies. A multivariate analysis of assay performance, controlling for sample size, DVT prevalence, reference standard, and patient mix, found few differences among the assays in effect on test performance as measured by diagnostic odds ratio. Increasing prevalence of DVT was associated with poorer test performance (P = 0.01), whereas the choice of venography as the reference standard was associated with better test performance (P <0.005). CONCLUSIONS: Explanations for the wide variation in assay performance include differences in biochemical and technical characteristics of the assays, heterogeneity and small size of patient groups, and bias introduced by choice of reference standards. Assay sensitivity and negative predictive value were frequently <90%, uncharacteristic of a good rule-out test. General use of D-dimer assays as a stand-alone test for the diagnosis of DVT is not supported by the literature.