Reduced Clostridium difficile Tests and Laboratory-Identified Events With a Computerized Clinical Decision Support Tool and Financial Incentive.

We hypothesized that a computerized clinical decision support tool for Clostridium difficile testing would reduce unnecessary inpatient tests, resulting in fewer laboratory-identified events. Census-adjusted interrupted time-series analyses demonstrated significant reductions of 41% fewer tests and 31% fewer hospital-onset C. difficile infection laboratory-identified events following this intervention.Infect Control Hosp Epidemiol 2018;39:737-740.

Tailored Educational Approaches for Consumer Health: A Model to Address Health Promotion in an Era of Personalized Medicine.

PURPOSE: To develop a model, based on market segmentation, to improve the quality and efficiency of health promotion materials and programs. DESIGN: Market segmentation to create segments (groups) based on a cross-sectional questionnaire measuring individual characteristics and preferences for health information. Educational and delivery recommendations developed for each group. SETTING: General population of adults in Virginia. PARTICIPANTS: Random sample of 1201 Virginia residents. Respondents are representative of the general population with the exception of older age. MEASURES: Multiple factors known to impact health promotion including health status, health system utilization, health literacy, Internet use, learning styles, and preferences. ANALYSIS: Cluster analysis and discriminate analysis to create and validate segments. Common sized means to compare factors across segments. RESULTS: Developed educational and delivery recommendations matched to the 8 distinct segments. For example, the "health challenged and hard to reach" are older, lower literacy, and not likely to seek out health information. Their educational and delivery recommendations include a sixth-grade reading level, delivery through a provider, and using a "push" strategy. CONCLUSION: This model addresses a need to improve the efficiency and quality of health promotion efforts in an era of personalized medicine. It demonstrates that there are distinct groups with clearly defined educational and delivery recommendations. Health promotion professionals can consider Tailored Educational Approaches for Consumer Health to develop and deliver tailored materials to encourage behavior change.

Effect of pooled comparative information on judgments of quality.

Quality assessment is the focus of many health care initiatives. Yet it is not well understood how the type of information used in decision support tools to enable judgments of quality based on data impacts the accuracy, consistency and reliability of judgments made by physicians. Comparative pooled information could allow physicians to judge the quality of their practice by making comparisons to other practices or other specific populations of patients. In this study, resident physicians were provided with varying types of information derived from pooled patient data sets: quality component measures at the individual and group level, a qualitative interpretation of the quality measures using percentile rank, and an aggregate composite quality score. 32 participants viewed thirty quality profiles consisting of information applicable to the practice of thirty de-identified resident physicians. Those provided with quality component measures and a qualitative interpretation of the quality measures (rankings) judged quality of care more similarly to experts and were more internally consistent compared to participants who were provided with quality component measures alone. Reliability between participants was significantly less for those who were provided with a composite quality score compared to those who were not.

Clinical decision support: progress and opportunities.

In 2005, the American Medical Informatics Association undertook a set of activities relating to clinical decision support (CDS), with support from the office of the national coordinator and the Agency for Healthcare Research and Quality. They culminated in the release of the roadmap for national action on CDS in 2006. This article assesses progress toward the short-term goals within the roadmap, and recommends activities to continue to improve CDS adoption throughout the United States. The report finds that considerable progress has been made in the past four years, although significant work remains. Healthcare quality organizations are increasingly recognizing the role of health information technology in improving care, multi-site CDS demonstration projects are under way, and there are growing incentives for adoption. Specific recommendations include: (1) designating a national entity to coordinate CDS work and collaboration; (2) developing approaches to monitor and track CDS adoption and use; (3) defining and funding a CDS research agenda; and (4) updating the CDS 'critical path'.

Providing palliative care in the ambulatory care setting.

Palliative care that provides specialized attention to pain and symptom management is important for patients with cancer. Palliative care aims to reduce pain and other symptoms through an interdisciplinary approach involving physicians, nurses, social workers, and other members of the healthcare team. Families are included in care planning. Patients and families benefit from the availability of palliative care services early in the disease process, particularly when symptoms impact quality of life. One way to implement early palliative interventions is the establishment of an ambulatory care clinic dedicated to palliative care. This article describes the experience of an outpatient palliative care clinic at a large teaching hospital by using case studies to highlight the benefits of ambulatory palliative care and concluding with recommendations for research.

SUPPORTING PHYSICIANS' PRACTICE-BASED LEARNING AND IMPROVEMENT (PBLI) AND QUALITY IMPROVEMENT THROUGH EXPLORATION OF POPULATION-BASED MEDICAL DATA.

Participating in self-assessment activities may stimulate improvement in practice behaviors. However, it is unclear how best to support the development of self-assessment skills, particularly in the health care domain. Exploration of population-based data is one method to enable health care providers to identify deficiencies in overall practice behavior that can motivate quality improvement initiatives. At the University of Virginia, we are developing a decision support tool to integrate and present population-based patient data to health care providers related to both clinical outcomes and non-clinical measures (e.g., demographic information). By enabling users to separate their direct impact on clinical outcomes from other factors out of their control, we may enhance the self-assessment process.

Formulary access using a PDA-based drug reference tool: does it affect prescribing behavior?

We assessed the association between formulary access via a handheld drug reference tool and utilization of generic (Tier 1) and non-generic, non-formulary (Tier 3) medications. In a retrospective before-after study of physician prescribing behavior for patients in a large, national health plan, physicians with formulary access using Epocrates(TM) showed smaller (0.5%) increases in Tier 3 prescribing over time compared to physicians without such access.

Changing conversations: teaching safety and quality in residency training.

Improving patient safety and quality in health care is one of medicine's most pressing challenges. Residency training programs have a unique opportunity to meet this challenge by training physicians in the science and methods of patient safety and quality improvement (QI).With support from the Health Resources and Services Administration, the authors developed an innovative, longitudinal, experiential curriculum in patient safety and QI for internal medicine residents at the University of Virginia. This two-year curriculum teaches the critical concepts and skills of patient safety and QI: systems thinking and human factors analysis, root cause analysis (RCA), and process mapping. Residents apply these skills in a series of QI and patient safety projects. The constructivist educational model creates a learning environment that actively engages residents in improving the quality and safety of their medical practice.Between 2003 and 2005, 38 residents completed RCAs of adverse events. The RCAs identified causes and proposed useful interventions that have produced important care improvements. Qualitative analysis demonstrates that the curriculum shifted residents' thinking about patient safety to a systems-based approach. Residents completed 237 outcome assessments during three years. Results indicate that seminars met predefined learning objectives and were interactive and enjoyable. Residents strongly believe they gained important skills in all domains.The challenge to improve quality and safety in health care requires physicians to learn new knowledge and skills. Graduate medical education can equip new physicians with the skills necessary to lead the movement to safer and better quality of care for all patients.This article is part of a theme issue of Academic Medicine on the Title VII health professions training programs.

Development of a Web-based resident profiling tool to support training in practice-based learning and improvement.

Multiple factors are driving residency programs to explicitly address practice-based learning and improvement (PBLI), yet few information systems exist to facilitate such training. We developed, implemented, and evaluated a Web-based tool that provides Internal Medicine residents at the University of Virginia Health System with population-based reports about their ambulatory clinical experiences. Residents use Systems and Practice Analysis for Resident Competencies (SPARC) to identify potential areas for practice improvement. Thirty-three (65%) of 51 residents completed a survey assessing SPARC's usefulness, with 94% agreeing that it was a useful educational tool. Twenty-six residents (51%) completed a before-after study indicating increased agreement (5-point Likert scale, with 5=strongly agree) with statements regarding confidence in ability to access population-based data about chronic disease management (mean [SD] 2.5 [1.2] vs. 4.5 [0.5], p < .001, sign test) and information comparing their practice style to that of their peers (2.2 [1.2] vs. 4.6 [0.5], p < .001).

The development of health care data warehouses to support data mining.

Clinical data warehouses offer tremendous benefits as a foundation for data mining. By serving as a source for comprehensive clinical and demographic information on large patient populations, they streamline knowledge discovery efforts by providing standard and efficient mechanisms to replace time-consuming and expensive original data collection, organization, and processing. Building effective data warehouses requires knowledge of and attention to key issues in database design, data acquisition and processing, and data access and security. In this article, the authors provide an operational and technical definition of data warehouses, present examples of data mining projects enabled by existing data warehouses, and describe key issues and challenges related to warehouse development and implementation.

Electronic health records: high-quality electronic data for higher-quality clinical research.

In the decades prior to the introduction of electronic health records (EHRs), the best source of electronic information to support clinical research was claims data. The use of claims data in research has been criticised for capturing only demographics, diagnoses and procedures recorded for billing purposes that may not fully reflect the patient's condition. Many important details of the patient's clinical status are not recorded. EHRs can overcome many limitations of claims data in research, by capturing a more complete picture of the observations and actions of a clinician recorded when patients are seen. EHRs can provide important details about vital signs, diagnostic test results, social and family history, prescriptions and physical examination findings. As a result, EHRs present a new opportunity to use data collected through the routine operation of a clinical practice to generate and test hypotheses about the relationships among patients, diseases, practice styles, therapeutic modalities and clinical outcomes. This article describes the clinical research information infrastructure at four institutions: the University of Pennsylvania, Regenstrief Institute/Indiana University, Partners Healthcare System and the University of Virginia. We present models for applying EHR data successfully within the clinical research enterprise.

Cost of Gram-negative resistance.

OBJECTIVE: It is unclear that infections with Gram-negative rods resistant to at least one major class of antibiotics (rGNR) have a greater effect on patient morbidity than infections caused by sensitive strains (sGNR). We wished to test the hypothesis that rGNR infections are associated with higher resource utilization. DESIGN: Retrospective observational cohort study of prospectively collected data. SETTING: University hospital surgical intensive care unit and ward. PATIENTS: Surgical patients with at least one GNR infection. MEASUREMENTS: We compared admissions treated for rGNR infection with those with sGNR infections. Primary outcomes were total hospital costs and hospital length of stay. Other outcomes included antibiotic treatment cost, in-hospital death, and intensive care unit length of stay. After univariate analysis comparing outcomes after rGNR infection with those after sGNR infection, multivariate linear regression models for hospital cost and length of stay were created to account for potential confounders. MAIN RESULTS: Cost data were available for 604 surgical admissions treated for at least one GNR infection (Centers for Disease Control and Prevention criteria), 137 (23%) of which were rGNR infections. Admissions with rGNR infections were associated with a higher severity of illness at the time of infection (Acute Physiology and Chronic Health Evaluation II score, 17.6 +/- 0.6 vs. 13.9 +/- 0.3), had higher median hospital costs ($80,500 vs. $29,604, p < .0001) and median antibiotic costs ($2,607 vs. $758, p < .0001), and had longer median hospital length of stay (29 vs. 13 days, p < .0001) and median intensive care unit length of stay (13 days vs. 1 day, p < .0001). Infection with rGNR within the first 7 days of admission was independently predictive of increased hospital cost (incremental increase in median hospital cost estimated at $11,075; 95% confidence interval, $3,282-$20,099). CONCLUSIONS: Early infection with rGNR is associated with a high economic burden, which is in part related to increased antibiotic utilization compared with infection with sensitive organisms. Efforts to control overuse of antibiotics should be pursued.

Updated review of blood culture contamination.

Blood culture contamination represents an ongoing source of frustration for clinicians and microbiologists alike. Ambiguous culture results often lead to diagnostic uncertainty in clinical management and are associated with increased health care costs due to unnecessary treatment and testing. A variety of strategies have been investigated and employed to decrease contamination rates. In addition, numerous approaches to increase our ability to distinguish between clinically significant bacteremia and contamination have been explored. In recent years, there has been an increase in the application of computer-based tools to support infection control activities as well as provide clinical decision support related to the management of infectious diseases. Finally, new approaches for estimating bacteremia risk which have the potential to decrease unnecessary blood culture utilization have been developed and evaluated. In this review, we provide an overview of blood culture contamination and describe the potential utility of a variety of approaches to improve both detection and prevention. While it is clear that progress is being made, fundamental challenges remain.

Data mining and clinical data repositories: Insights from a 667,000 patient data set.

Clinical repositories containing large amounts of biological, clinical, and administrative data are increasingly becoming available as health care systems integrate patient information for research and utilization objectives. To investigate the potential value of searching these databases for novel insights, we applied a new data mining approach, HealthMiner, to a large cohort of 667,000 inpatient and outpatient digital records from an academic medical system. HealthMiner approaches knowledge discovery using three unsupervised methods: CliniMiner, Predictive Analysis, and Pattern Discovery. The initial results from this study suggest that these approaches have the potential to expand research capabilities through identification of potentially novel clinical disease associations.

Impact of a Web-based diagnosis reminder system on errors of diagnosis.

A large number of medical errors can be attributed to errors in diagnosis. A diagnosis reminder system such as Isabel may lessen the risk of diagnostic error by providing a checklist of possible diagnoses. For this project, resident physicians used Isabel to work through a set of six simulated patient cases. The system had a positive effect on the mean diagnostic quality score and the number of clinically important diagnoses included in the differential.

Tailored Educational Approaches for Consumer Health (TEACH): a model system for addressing health communication.

The Consumer Health Education Institute (CHEDI) has developed a model system to improve the quality and effectiveness of patient education and health communication. Through assessment of characteristics and preferences, segmentation into groups and matching with the appropriate materials, we have demonstrated that patients and health consumers have different health information needs and preferences which show promise as a basis for selecting or designing the most appropriate materials or programs.

Present-at-admission diagnoses improve mortality risk adjustment and allow more accurate assessment of the relationship between volume of lung cancer operations and mortality risk.

BACKGROUND: Mortality risk adjustment is a key component of studies that examine the statistical relationship between hospital lung cancer operation volume and in-hospital mortality. Previous studies of this relationship have used different methods of adjusting for factors that influence mortality risk, but none have adjusted for differences in comorbid disease using only diagnoses identified as present-at-admission. METHODS: This study uses adjustments for conditions identified as present-at-admission to examine the statistical relationship between the volume of lung cancer operations and mortality among 14,456 California hospital patients, and compares these results to other methods of risk adjustment similar to those used in previous studies. RESULTS: Mortality risk adjustment using present-at-admission diagnoses yielded better discrimination and explained more of the variability in observed deaths. Large increases in hospital procedure volume were associated with much smaller decreases in mortality risk than those estimated using comparable risk-adjustment models. CONCLUSIONS: Present-at-admission diagnoses can be used to improve mortality risk adjustment and may allow a more accurate assessment of the relationship between procedure volume and mortality risk.

Comorbid disease and the effect of race and ethnicity on in-hospital mortality from aspiration pneumonia.

BACKGROUND: Racial and ethnic disparities in mortality have been demonstrated in several diseases. African Americans are hospitalized at a significantly higher rate than whites for aspiration pneumonia; however, no studies have investigated racial and ethnic disparities in mortality in this population. OBJECTIVE: To assess the independent effect of race and ethnicity on in-hospital mortality among aspiration pneumonia discharges while comprehensively controlling for comorbid diseases, and to assess whether the prevalence and effects of comorbid illness differed across racial and ethnic categories. DESIGN, SETTING, AND PARTICIPANTS: Retrospective cohort study of 41,581 patients admitted to California hospitals for aspiration pneumonia from 1996 through 1998, using principal and secondary diagnoses present on admission. MEASUREMENT: The primary outcome measure was in-hospital mortality. RESULTS: The adjusted odds of in-hospital death for African-American compared with white discharges [odds ratio (OR)=1.01; 95% confidence interval (CI), 0.91-1.11] was not significantly different. The odds of death for Asian compared with white discharges was significantly lower (OR=0.83; 95% CI, 0.75-0.91). Hispanics had a significantly lower odds of death (OR=0.90; 95% CI, 0.82-0.988) compared to non-Hispanics. Comorbid diseases were more prevalent among African Americans and Asians than whites, and among Hispanics compared to non-Hispanics. Differences in effects of comorbid disease on mortality risk by race and ethnicity were not statistically significant. CONCLUSION: Asians have a lower risk of death, and the risk of death for African Americans is not significantly different from whites in this analysis of aspiration pneumonia discharges. Hispanics have a lower risk of death than non-Hispanics. While there are differences in prevalence of comorbid disease by racial and ethnic category, the effects of comorbid disease on mortality risk do not differ meaningfully by race or ethnicity.