Predictors of Recurrent AKI.

Recurrent AKI is common among patients after hospitalized AKI and is associated with progressive CKD. In this study, we identified clinical risk factors for recurrent AKI present during index AKI hospitalizations that occurred between 2003 and 2010 using a regional Veterans Administration database in the United States. AKI was defined as a 0.3 mg/dl or 50% increase from a baseline creatinine measure. The primary outcome was hospitalization with recurrent AKI within 12 months of discharge from the index hospitalization. Time to recurrent AKI was examined using Cox regression analysis, and sensitivity analyses were performed using a competing risk approach. Among 11,683 qualifying AKI hospitalizations, 2954 patients (25%) were hospitalized with recurrent AKI within 12 months of discharge. Median time to recurrent AKI within 12 months was 64 (interquartile range 19-167) days. In addition to known demographic and comorbid risk factors for AKI, patients with longer AKI duration and those whose discharge diagnosis at index AKI hospitalization included congestive heart failure (primary diagnosis), decompensated advanced liver disease, cancer with or without chemotherapy, acute coronary syndrome, or volume depletion, were at highest risk for being hospitalized with recurrent AKI. Risk factors identified were similar when a competing risk model for death was applied. In conclusion, several inpatient conditions associated with AKI may increase the risk for recurrent AKI. These findings should facilitate risk stratification, guide appropriate patient referral after AKI, and help generate potential risk reduction strategies. Efforts to identify modifiable factors to prevent recurrent AKI in these patients are warranted.

The National Neurosurgery Quality and Outcomes Database (N2QOD): a collaborative North American outcomes registry to advance value-based spine care.

STUDY DESIGN: National Prospective Observational Registry. OBJECTIVE: Describe our preliminary experience with the National Neurosurgery Quality and Outcomes Database (NQOD), a national collaborative registry of quality and outcomes reporting after low back surgery. SUMMARY OF BACKGROUND DATA: All major health care stakeholders are now requiring objective data regarding the value of medical services. Surgical therapies for spinal disorders have faced particular scrutiny in recent value-based discussions, in large part due to the dramatic growth in the cost and application of these procedures. Reliable data are fundamental to understanding the value of delivered health care. Clinical registries are increasingly used to provide such data. METHODS: The NQOD is a prospective observational registry designed to establish risk-adjusted expected morbidity and 1-year outcomes for the most common lumbar surgical procedures performed by spine surgeons; provide practice groups and hospitals immediate infrastructure for analyzing their 30-day morbidity and mortality and 3- and 12-month quality data in real-time; generate surgeon-, practice-, and specialty-specific quality and efficacy data; and generate nationwide quality and effectiveness data on specific surgical treatments. RESULTS: In its first 2 years of operation, the NQOD has proven to be a robust data collection platform that has helped demonstrate the objective quality of surgical interventions for medically refractory disorders of the lumbar spine. Lumbar spine surgery was found to be safe and effective at the group mean level in routine practice. Subgroups of patients did not report improvement using validated outcome measures. Substantial variation in treatment response was observed among individual patients. CONCLUSION: The NQOD is now positioned to determine the combined contribution of patient variables to specific clinical and patient-reported outcomes. These analyses will ultimately facilitate shared decision making and encourage efficient allocation of health care resources, thus significantly advancing the value paradigm in spine care. LEVEL OF EVIDENCE: 3.

Operating room clinicians' ratings of workload: a vignette simulation study.

OBJECTIVES: Increased clinician workload is associated with medical errors and patient harm. The Quality and Workload Assessment Tool (QWAT) measures anticipated (pre-case) and perceived (post-case) clinical workload during actual surgical procedures using ratings of individual and team case difficulty from every operating room (OR) team member. The purpose of this study was to examine the QWAT ratings of OR clinicians who were not present in the OR but who read vignettes compiled from actual case documentation to assess interrater reliability and agreement with ratings made by clinicians involved in the actual cases. METHODS: Thirty-six OR clinicians (13 anesthesia providers, 11 surgeons, and 12 nurses) used the QWAT to rate 6 cases varying from easy to moderately difficult based on actual ratings made by clinicians involved with the cases. Cases were presented and rated in random order. Before rating anticipated individual and team difficulty, the raters read prepared clinical vignettes containing case synopses and much of the same written case information that was available to the actual clinicians before the onset of each case. Then, before rating perceived individual and team difficulty, they read part 2 of the vignette consisting of detailed role-specific intraoperative data regarding the anesthetic and surgical course, unusual events, and other relevant contextual factors. RESULTS: Surgeons had higher interrater reliability on the QWAT than did OR nurses or anesthesia providers. For the anticipated individual and team workload ratings, there were no statistically significant differences between the actual ratings and the ratings obtained from the vignettes. There were differences for the 3 provider types in perceived individual workload for the median difficulty cases and in the perceived team workload for the median and more difficult cases. CONCLUSIONS: The case difficulty items on the QWAT seem to be sufficiently reliable and valid to be used in other studies of anticipated and perceived clinical workload of surgeons. Perhaps because of the limitations of the clinical documentation shown to anesthesia providers and OR nurses in the current vignette study, more evidence needs to be gathered to demonstrate the criterion-related validity of the QWAT difficulty items for assessing the workload of nonsurgeon OR clinicians.

Who said it? Establishing professional attribution among authors of Veterans' Electronic Health Records.

BACKGROUND: A practical data point for assessing information quality and value in the Electronic Health Record (EHR) is the professional category of the EHR author. We evaluated and compared free form electronic signatures against LOINC note titles in categorizing the profession of EHR authors. METHODS: A random 1000 clinical document sample was selected and divided into 500 document sets for training and testing. The gold standard for provider classification was generated by dual clinician manual review, disagreements resolved by a third reviewer. Text matching algorithms composed of document titles and author electronic signatures for provider classification were developed on the training set. RESULTS: Overall, detection of professional classification by note titles alone resulted in 76.1% sensitivity and 69.4% specificity. The aggregate of note titles with electronic signatures resulted in 95.7% sensitivity and 98.5% specificity. CONCLUSIONS: Note titles alone provided fair professional classification. Inclusion of author electronic signatures significantly boosted classification performance.

Secondary use of clinical data.

Clinicians involved in clinical care generate daily volumes of important data. This data is important for continuity of care, referrals to specialists and back to the patient's medical home. The same data can be used to generate alerts to improve the practice and to generate care activities to ensure that all appropriate care services are provided for the patient given their known medical histories using electronic quality (eQuality) monitoring. For many years we have used patient records as a data source for human abstraction of clinical research data. With the advent of electronic health record (EHR) data we can now make use of computable EHR data that can perform retrospective research studies more rapidly and lower the activation energy necessary to ask the next important question using electronic studies (eStudies). Barriers to these eStudies include: the lack of interoperable data between and among practices, the lack of computable definitions of measures, the lack of training of health professionals to use Ontology based Informatics tools that allow the execution of this type of logic, common methods need to be developed to distribute computable best practice rules to ensure rapid dissemination of evidence, better translating research into practice.

eQuality for all: Extending automated quality measurement of free text clinical narratives.

INTRODUCTION: Electronic quality monitoring(eQuality) from clinical narratives may advance current manual quality measurement techniques.We evaluated automated eQuality measurement tools on clinical narratives of veterans' disability examinations. METHODS: We used a general purpose indexing engine to encode clinical concepts with SNOMED CT. We developed computer usable quality assessment rules from established quality indicators and evaluated the automated approach against a gold standard of double independent human expert review. Rules were iteratively improved using a training set of 1446 indexed exam reports and evaluated on a test set of 1454 indexed exam reports. RESULTS: The eQuality system achieved 86%sensitivity (recall), 62% specificity, and 96%positive predictive value (precision) for automated quality assessment of veterans' disability exams. Summary data for each exam type and detailed data for joint exam quality assessments are presented. DISCUSSION: The current results generalize our previous results to ten exam types covering over 200 diagnostic codes. eQuality measurement from narrative clinical documents has the potential to improve healthcare quality and safety.

Using quality improvement methods to improve door-to-balloon time at an academic medical center.

OBJECTIVES: 1) Describe a quality improvement (QI) process to decrease door-to-balloon time (D2B); 2) Explain implementation of evidence-based strategies to improve D2B. BACKGROUND: The ACC/AHA 2006 guideline target for ST-elevation myocardial infarction (STEMI) is a D2B of 90 minutes (min). QI methods can be used to identify areas for improvement, measure current processes, and provide rapid-cycle feedback about which strategies are effective. METHODS: We studied all STEMI patients presenting to Vanderbilt University Medical Center from July 2005 through November 2006. A process flow chart was created and all D2B process steps were analyzed. In February 2006, evidence-based strategies were implemented to address bottlenecks and decrease D2B. Statistical process control (SPC) was used to monitor D2B time in real-time. RESULTS: Targeted changes led to a 44 min decrease (p < 0.001) in overall median D2B time from 108 min (interquartile range [IQR] = 94-122 min) to 64 min (IQR = 56-94 min). Subinterval time periods for emergency department (ED)-to-electrocardiogram (ECG) time decreased by 7 min (p = 0.008), ECG-to-cardiac catheterization laboratory (CCL) time decreased by 18 min (p = 0.01), and CCL-to-balloon time decreased by 4 min (p = 0.19). After implementation, SPC charts revealed a 50% decrease in the central mean line and narrower control limits indicating more reliable performance. CONCLUSIONS: Using QI methods of flow-charting, identifying bottlenecks, targeting strategies to bottleneck areas, and real-time monitoring with SPC and rapid-cycle feedback, D2B processes can be systematically redesigned for improvement. QI methods can be used by individual institutions to customize and implement strategies for their particular context.

Prolonged QTc intervals on admission electrocardiograms: prevalence and correspondence with admission electrolyte abnormalities.

BACKGROUND: Prolonged QTc (corrected QT) interval and torsades de pointes (TDP) are associated with hypocalcemia, hypomagnesemia, hypokalemia, possibly alkalosis and may result in syncope and sudden cardiac death. HYPOTHESIS: The purpose of this study was to determine the prevalence of prolonged QTc intervals on admission electrocardiograms (ECGs) and its correspondence with simultaneous admission electrolyte values, adjusted for admission diagnoses, comorbidities, other ECG abnormalities, and medications potentially associated with QTc prolongation. METHODS: Consecutive patients (N=258) admitted to a general medical service with the admission electrolytes and ECGs. For each ECG, QTc was classified in 10 msec. intervals from QTc > or = 450 to QTc > or = 500 msec. as determined by the electronically measured QTc (Marquette ECG system). Medical records were reviewed for prespecified admission diagnoses, comorbidities and medications associated with QTc prolongation. The correspondence of admission electrolyte abnormalities and QTc prolongation was evaluated using univariate and multivariate statistical methods. RESULTS: The prevalence of abnormal QTc intervals varied by the criterion applied, ranging from 25.2%, using the most lenient criterion of abnormality (QTc > or =450 msec.), to 3.5%, when the most restrictive criterion was applied (QTc > or = 500 msec.). In univariate analyses, there were no significant associations between QTc intervals and admission values for any of the electrolytes. In multivariate analyses, after adjusting for age, gender, ECG abnormalities and other covariates, none of the admission electrolyte values were significantly associated with prolonged QTc. CONCLUSIONS: Using conventional criteria, electronically measured prolonged QTc intervals were quite common at the time of admission among general medicine service patients, hospitalized for non-cardiac complaints. Admission electrolyte values were not associated with QTc intervals. We conclude that the association of metabolic derangements and QTc abnormalities may not be as strong as is widely believed.

Optimizing choledocholithiasis management: a cost-effectiveness analysis.

HYPOTHESIS: Endoscopic retrograde cholangiopancreatography (ERCP) is more cost-effective for managing incidental choledocholithiasis (CDL) after laparoscopic cholecystectomy and intraoperative cholangiogram (LC/IOC) than laparoscopic common bile duct exploration (LCBDE). DESIGN: A cost-effectiveness analysis was performed to compare ERCP with LCBDE. Sensitivity analyses were performed to determine the key contributors to cost-effectiveness between the 2 treatment options. SETTING: Costs were approached from the institutional perspective considering a typical patient undergoing LC/IOC at a large referral center. PATIENTS: The base case patient evaluated was a woman 18 years of age or older with symptomatic cholelithiasis and incidental CDL discovered at the time of LC/IOC. INTERVENTIONS: Endoscopic retrograde cholangiopancreatography with drainage procedure performed after LC/IOC or LCBDE during LC/IOC. MAIN OUTCOME MEASURES: Costs, quality-adjusted life years gained, mean cost-effectiveness ratios, and incremental cost-effectiveness ratios. RESULTS: In the base case analysis, ERCP was the optimal treatment choice with a cost of $24 300 for 0.9 quality-adjusted life years gained compared with $28 400 and 0.88 quality-adjusted life years for LCBDE. Endoscopic retrograde cholangiopancreatography remained the optimal strategy for CDL in multiway probabilistic sensitivity analysis. If LCBDE were performed and the cost of a potential operative case lost was $3100 or less and the cost of ERCP hospitalization was $18 000 or more, then LCBDE became the preferred treatment for CDL. CONCLUSIONS: Endoscopic retrograde cholangiopancreatography was both less costly and more effective than LCBDE. Factors important to choosing the best strategy for CDL management included the cost of a potential case lost due to LCBDE performance and the cost of ERCP hospitalization.

Evaluation of the content coverage of SNOMED CT: ability of SNOMED clinical terms to represent clinical problem lists.

OBJECTIVE: To evaluate the ability of SNOMED CT (Systematized Nomenclature of Medicine Clinical Terms) version 1.0 to represent the most common problems seen at the Mayo Clinic in Rochester, Minn. MATERIAL AND METHODS: We selected the 4996 most common nonduplicated text strings from the Mayo Master Sheet Index that describe patient problems associated with inpatient and outpatient episodes of care. From July 2003 through January 2004, 2 physician reviewers compared the Master Sheet Index text with the SNOMED CT terms that were automatically mapped by a vocabulary server or that they identified using a vocabulary browser and rated the "correctness" of the match. If the 2 reviewers disagreed, a third reviewer adjudicated. We evaluated the specificity, sensitivity, and positive predictive value of SNOMED CT. RESULTS: Of the 4996 problems in the test set, SNOMED CT correctly identified 4568 terms (true-positive results); 36 terms were true negatives, 9 terms were false positives, and 383 terms were false negatives. SNOMED CT had a sensitivity of 92.3%, a specificity of 80.0%, and a positive predictive value of 99.8%. CONCLUSION: SNOMED CT, when used as a compositional terminology, can exactly represent most (92.3%) of the terms used commonly in medical problem lists. Improvements to synonymy and adding missing modifiers would lead to greater coverage of common problem statements. Health care organizations should be encouraged and provided incentives to begin adopting SNOMED CT to drive their decision-support applications.

The effect of standardized, computer-guided templates on quality of VA disability exams.

BACKGROUND: The costs and limitations of clinical encounter documentation using dictation/transcription have provided impetus for increased use of computerized structured data entry to enforce standardization and improve quality. The purpose of the present study is to compare exam report quality of Veterans Affairs (VA) disability exams documented by computerized protocol-guided templates with exams documented in the usual fashion (dictation). METHODS: Exam report quality for 17,490 VA compensation and pension (C&P) disability exams reviewed in 2005 was compared for exam reports completed by template and exam reports completed in routine fashion (dictation). An additional set of 2,903 exams reviewed for quality the last three months of 2004 were used for baseline comparison. RESULTS: Mean template quality scores of 91 (95% CI 89, 92) showed significant improvement over routine exams conducted during the study period 78 (95% CI 77, 78) and at baseline 73 (95% CI 72, 75). The quality difference among examination types is presented. DISCUSSION: The results of the present study suggest that use of the standardized, guided documentation templates in VA disability exams produces significant improvement in quality compared with routinely completed exams (dictation). The templates demonstrate the opportunity and capacity for informatics tools to enhance delivery of care when operating in a health system with a sophisticated electronic medical record.

The economic benefit of organizational restructuring of the cardiothoracic intensive care unit.

OBJECTIVES: Compare cost/benefits of organizational restructuring of the cardiac intensive care unit (CICU). DESIGN: Prospective, with a retrospective control period. SETTING: Academic medical center. PARTICIPANTS: Sixty-six CICU patients (prospective) and 57 patients who received care before restructuring (retrospective) were compared. Entrance criteria were constant for both study periods. INTERVENTIONS: The CICU was restructured from a level III ICU to a level I ICU with the initiation of a consultant CICU service. The CICU service provided an attending physician dedicated to ICU care daily. All cardiac patients admitted into the CICU received consultation by the CICU service. MEASUREMENTS AND MAIN RESULTS: The average postoperative intubation time decreased during the intervention period (61% extubated within 6 hours v 12%, p = 0.004). Pharmacy, radiology, laboratory, and ICU costs decreased 279 US dollars (p = 0.004), 196 US dollars (p = 0.003), 190 US dollars (p = 0.15), and 470 US dollars (p = 0.12), respectively. The ICU length of stay (0.28 days shorter) as well as the overall postsurgery stay (0.54 days shorter) were reduced in the intervention period (p = 0.11 and 0.10, respectively). CONCLUSIONS: The CICU service significantly reduced both total ICU-related costs ($1,173/patient) and overall costs (2,285 US dollars/patient) during the intervention period. Professional fees only reduced overall savings by 8%. These results indicate that organizational restructuring of the CICU to newer models can reduce costs associated with cardiac surgery.

Adequacy of representation of the National Drug File Reference Terminology Physiologic Effects reference hierarchy for commonly prescribed medications.

The National Drug File Reference Terminology contains a novel reference hierarchy to describe physiologic effects (PE) of drugs. The PE reference hierarchy contains 1697 concepts arranged into two broad categories; organ specific and generalized systemic effects. This investigation evaluated the appropriateness of the PE concepts for classifying a random selection of commonly prescribed medications. Ten physician reviewers classified the physiologic effects of ten drugs and rated the accuracy of the selected term. Inter reviewer agreement, overall confidence, and concept frequencies were assessed and were correlated with the complexity of the drug's known physiologic effects. In general, agreement between reviewers was fair to moderate (kappa 0.08-0.49). The physiologic effects modeled became more disperse with drugs having and inducing multiple physiologic processes. Complete modeling of all physiologic effects was limited by reviewers focusing on different physiologic processes. The reviewers were generally comfortable with the accuracy of the concepts selected. Overall, the PE reference hierarchy was useful for physician reviewers classifying the physiologic effects of drugs. Ongoing evolution of the PE reference hierarchy as it evolves should take into account the experiences of our reviewers.

Initializing the VA medication reference terminology using UMLS metathesaurus co-occurrences.

We developed and evaluated a UMLS Metathesaurus Co-occurrence mining algorithm to connect medications and diseases they may treat. Based on 16 years of co-occurrence data, we created 977 candidate drug-disease pairs for a sample of 100 ingredients (50 commonly prescribed and 50 selected at random). Our evaluation showed that more than 80% of the candidate drug-disease pairs were rated "APPROPRIATE" by physician raters. Additionally, there was a highly significant correlation between the overall frequency of citation and the likelihood that the connection was rated "APPROPRIATE." The drug-disease pairs were used to initialize term definitions in an ongoing effort to build a medication reference terminology for the Veterans Health Administration. Co-occurrence mining is a valuable technique for initializing term definitions in a large-scale reference terminology creation project.