Search

BACKGROUND: Satisfaction with health care is one of the most widely assessed measures of hospital care quality, yet studies that account for clustering effects are uncommon. We constructed a multilevel model to identify predictors of willingness to recommend while controlling for clustering effects due to hospital and care unit. We also examined differences in predictors by care unit. PURPOSE: The aim of this study was to identify factors that both influence patient perceptions of care and are potentially modifiable by the hospital delivering care. METHODOLOGY: Our sample includes Hospital Consumer Assessment of Healthcare Providers and Systems survey data collected between July 1, 2007, and June 30, 2008, for 131 hospitals and 33,445 patients. The primary outcome was willingness to recommend the hospital to family and friends. Variables were collected at three levels: patient (Hospital Consumer Assessment of Healthcare Providers and Systems survey item responses and demographics), care unit, and hospital. Data were analyzed using multilevel modeling. We also ran a series of two-level models to explore differences in predictors by care type. FINDINGS: The strongest predictors of willingness to recommend, controlling for clustering effects, were items that generally reflected interpersonal aspects of care such as nursing and physician behaviors. In the two-level models, predictors of willingness to recommend overlapped across care units, but important differences were noted. PRACTICE IMPLICATIONS: Our results suggest that hospitals that wish to improve their performance would benefit most from focusing on interpersonal aspects of care. Hospitals that focus resources on improving in these areas, that assess care units separately, and that investigate the meaning and context of survey responses will be most likely to see improvements in satisfaction scores. [ABSTRACT FROM AUTHOR]

A commercial rule base (Cerner Multum) was used to identify medication orders exceeding recommended dosage limits at five hospitals within BJC HealthCare, an integrated health care system. During initial testing, clinical pharmacists determined that there was an excessive number of nuisance and clinically insignificant alerts, with an overall alert rate of 9.2%. A method for customizing the commercial rule base was implemented to increase rule specificity for problematic rules. The system was subsequently deployed at two facilities and achieved alert rates of less than 1%. Pharmacists screened these alerts and contacted ordering physicians in 21% of cases. Physicians made therapeutic changes in response to 38% of alerts presented to them. By applying simple techniques to customize rules, commercial rule bases can be used to rapidly deploy a safety net to screen drug orders for excessive dosages, while preserving the rule architecture for later implementations of more finely tuned clinical decision support. [ABSTRACT FROM AUTHOR]

Objective: To determine the prevalence and incidence of and the relative risks for positive tuberculin skin tests among employees of a large, urban teaching hospital.Design: Retrospective cohort study.Setting: Barnes Hospital, St. Louis, Missouri.Participants: Hospital personnel employed at any time between January 1989 and July 1991.Results: 684 of 6070 employees screened (11.3% [95% CI, 10.4% to 12.1%]) had positive tuberculin skin tests. Factors associated with a positive result were age (odds ratio, 2.02 per decade [CI, 1.87 to 2.18]; P < 0.0001); black race (odds ratio, 1.58 [Cl, 1.26 to 2.00]; P < 0.0001); Asian race (odds ratio, 16.7 [CI, 9.33 to 29.9]; P < 0.0001); Hispanic ethnicity (odds ratio, 9.45 [CI, 3.58 to 25.0]; P < 0.0001); and percentage of low-income persons within the employee's residential postal zone (odds ratio, 1.14 per 10% [CI, 1.05 to 1.23]; P = 0.001). Twenty-nine of 3106 employees who had at least two tests had skin-test conversions (0.93% [CI, 0.60% to 1.3%]); 15 of these conversions (52%) occurred among employees who had no direct contact with patients. Only the percentage of low-income persons within the employee's residential postal zone (odds ratio 1.39 [CI, 1.09 to 1.78]; P = 0.0075) was independently associated with conversion.Conclusions: The most important associations with a positive tuberculin skin test were older age, minority group status, and the proportion of low-income persons within the employee's residential postal zone. Skin-test conversion was independently associated only with the percentage of low-income persons in the employee's postal zone. Stratifying employees according to degree of contact with patients or according to departmental group was not useful in determining risk for a positive tuberculin skin test or for skin-test conversion. For certain groups of employees, an exposure to tuberculosis in the community probably poses a greater risk than exposure in the hospital setting. [ABSTRACT FROM AUTHOR]

Background: Influenza is responsible for thousands of deaths in the United States and presents particular challenges in health care facilities with a greater prevalence of people at increased risk for adverse outcomes. Annual influenza vaccination has long been recommended, and employer policies influence the likelihood health care personnel are immunized., Methods: This is a review of vaccination data maintained by a large health care organization to assess the effects of a mandatory health care personnel vaccination policy implemented during 2008-2009. Vaccination rates, timing of immunizations, and requests for medical or religious exemptions were assessed from 2006-2007 to 2017-2018., Results: The health care personnel vaccination rate was 70% during the influenza season before the mandatory policy was implemented and increased to 98.4% immediately afterward. Vaccination rates exceeded 97% during the subsequent 9 years. Religious and medical exemptions decreased at academic medical centers and remained consistent at community hospitals. Among immunized employees, the peak date for vaccination shifted to late September or early October compared to late October or early November before the mandatory policy., Conclusions: Requiring vaccination led to sustained increases in staff vaccination coverage at academic medical centers and community hospitals. The mandatory policy also appeared to encourage earlier vaccination., (Copyright © 2020 Association for Professionals in Infection Control and Epidemiology, Inc. Published by Elsevier Inc. All rights reserved.)

Medical errors are a significant source of morbidity and mortality, and while focused efforts to prevent harm have been made, sustaining reductions across multiple categories of patient harm remains a challenge. In 2008 BJC HealthCare initiated a systemwide program to eliminate all major causes of preventable harm and mortality over a five-year period with a goal of sustaining these reductions over the subsequent five years., Methods: Areas of focus included pressure ulcers, adverse drug events, falls with injury, health care-associated infections, and venous thromboembolism. Initial efforts involved building system-level multidisciplinary teams, utilizing standardized project management methods, and establishing standard surveillance methods. Evidence-based interventions were deployed across the system; core standards were established while allowing for flexibility in local implementation. Improvements were tracked using actual numbers of events rather than rates to increase meaning and interpretability by patients and frontline staff., Results: Over the course of the five-year intervention period, total harm events were reduced by 51.6% (10,371 events in 2009 to 5,018 events in 2012). Continued improvement efforts over the subsequent five years led to additional harm reduction (2,605 events in 2017; a 74.9% reduction since 2009)., Conclusion: A combination of project management discipline, rigorous surveillance, and focused interventions, along with system-level support of local hospital improvement efforts, led to dramatic reductions in preventable harm and long-term sustainment of progress., (Copyright © 2019 The Joint Commission. Published by Elsevier Inc. All rights reserved.)

Objectives: The aim of this study was to evaluate specific medications and patient characteristics as risk factors of falling in the hospital., Methods: This is a case-control study comparing demographic, health, mobility, and medication data for 228 patients who fell between June 29, 2007, and November 14, 2007, at a large tertiary care hospital and 690 randomly selected control patients. Logistic regression was used to identify fall risk factors., Results: Independent risk factors of falling included history of falls (odds ratio [OR], 2.7; 95% confidence interval [CI], 1.8-4.2); needing an assistive device (OR, 3.2; 95% CI, 1.5-6.8) or person assistance (OR, 2.1; 95% CI, 1.3-3.3) to ambulate; being underweight (OR, 2.4; 95% CI, 1.2-4.7) or obese (OR, 1.6; 95% CI, 1.0-2.5); confusion (OR, 2.4; 95% CI, 1.5-4.0); dizziness (OR, 2.1; 95% CI, 1.1-4.3); incontinence (OR, 1.5; 95% CI, 1.0-2.3); and an order for a hydantoin (OR, 3.3; 95% CI, 1.3-8.0) or benzodiazepine anticonvulsant (OR, 2.2; 95% CI, 1.5-3.3), haloperidol (OR, 2.8; 95% CI, 1.2-6.8), tricyclic antidepressant (OR, 2.4; 95% CI, 1.2-4.9), or insulin (OR, 1.5; 95% CI, 1.0-2.1). Female sex (OR, 0.8; 95% CI, 0.6-1.0), proton pump inhibitors (OR, 0.6; 95% CI, 0.4-0.9), and muscle relaxants (OR, 0.4; 95% CI, 0.3-0.7) were associated with lower risk for falling., Conclusions: This study identified medications and patient characteristics associated with increased risk for falling in the hospital. High-risk medications identified in this study may serve as targets for medication review or adjustment, which have been recommended as a component of multifaceted fall prevention programs.

Clinical quality scorecards are used by health care institutions to monitor clinical performance and drive quality improvement. Because of the rapid proliferation of quality metrics in health care, BJC HealthCare found it increasingly difficult to select the most impactful scorecard metrics while still monitoring metrics for regulatory purposes. A 7-step measure selection process was implemented incorporating Kepner-Tregoe Decision Analysis, which is a systematic process that considers key criteria that must be satisfied in order to make the best decision. The decision analysis process evaluates what metrics will most appropriately fulfill these criteria, as well as identifies potential risks associated with a particular metric in order to identify threats to its implementation. Using this process, a list of 750 potential metrics was narrowed to 25 that were selected for scorecard inclusion. This decision analysis process created a more transparent, reproducible approach for selecting quality metrics for clinical quality scorecards., (© The Author(s) 2015.)

Purpose: Substantial reductions in inpatient episodes of severe hypoglycemia achieved by a large healthcare system through enhanced use of technology and sustained quality-improvement initiatives are described., Summary: After internal data collection and analysis revealed that severe hypoglycemia accounted for 75% of all systematically monitored adverse drug events in its hospital network, St. Louis-based BJC HealthCare designed and executed a multifaceted approach to reducing hypoglycemia events. Initiated by a pharmacist-led task force, the project entailed (1) automated event detection and creation of dashboards for comparing hypoglycemia rates among at-risk patients at 11 BJC facilities, (2) implementation of evidence-based and internal best practices in use at BJC's top-performing hospitals, (3) development of an online "Hypoglycemic Event Analysis Tool" (HEAT) to support event investigation and collection of data on causative factors, and (4) the assembly of targeted interventions at a "Hypoglycemia Facility Strategy Tracking" (H-FaST) intranet site. As a result of the launch of the HEAT and H-FaST tools and associated provider education activities, the systemwide rate of hypoglycemia events in the specified at-risk patient population declined from 6.45 per 1000 patient-days during a preimplementation baseline period (July-December 2009) to 1.32 per 1000 patient-days during a designated postimplementation period (January-June 2014), an 80% overall reduction in hypoglycemia (p < 0.01); reductions in severe hypoglycemia events ranging from 70% to 100% were observed at all 11 hospitals., Conclusion: A multifaceted, evidence-based, data-driven approach enabled a large healthcare system to markedly reduce the frequency of severe hypoglycemia events., (Copyright © 2015 by the American Society of Health-System Pharmacists, Inc. All rights reserved.)

When evaluating physician performance measures, physician leaders are faced with the quandary of determining whether departures from expected physician performance measurements represent a true signal or random error. This uncertainty impedes the physician leader's ability and confidence to take appropriate performance improvement actions based on physician performance measurements. Incorporating reliability adjustment into physician performance measurement is a valuable way of reducing the impact of random error in the measurements, such as those caused by small sample sizes. Consequently, the physician executive has more confidence that the results represent true performance and is positioned to make better physician performance improvement decisions. Applying reliability adjustment to physician-level performance data is relatively new. As others have noted previously, it's important to keep in mind that reliability adjustment adds significant complexity to the production, interpretation and utilization of results. Furthermore, the methods explored in this case study only scratch the surface of the range of available Bayesian methods that can be used for reliability adjustment; further study is needed to test and compare these methods in practice and to examine important extensions for handling specialty-specific concerns (e.g., average case volumes, which have been shown to be important in cardiac surgery outcomes). Moreover, it's important to note that the provider group average as a basis for shrinkage is one of several possible choices that could be employed in practice and deserves further exploration in future research. With these caveats, our results demonstrate that incorporating reliability adjustment into physician performance measurements is feasible and can notably reduce the incidence of "real" signals relative to what one would expect to see using more traditional approaches. A physician leader who is interested in catalyzing performance improvement through focused, effective physician performance improvement is well advised to consider the value of incorporating reliability adjustments into their performance measurement system.

To better understand the degree to which risk-standardized thirty-day readmission rates may be influenced by social factors, we compared results for hospitals in Missouri under two types of models. The first type of model is currently used by the Centers for Medicare and Medicaid Services for public reporting of condition-specific hospital readmission rates of Medicare patients. The second type of model is an "enriched" version of the first type of model with census tract-level socioeconomic data, such as poverty rate, educational attainment, and housing vacancy rate. We found that the inclusion of these factors had a pronounced effect on calculated hospital readmission rates for patients admitted with acute myocardial infarction, heart failure, and pneumonia. Specifically, the models including socioeconomic data narrowed the range of observed variation in readmission rates for the above conditions, in percentage points, from 6.5 to 1.8, 14.0 to 7.4, and 7.4 to 3.7, respectively. Interestingly, the average readmission rates for the three conditions did not change significantly between the two types of models. The results of our exploratory analysis suggest that further work to characterize and report the effects of socioeconomic factors on standardized readmission measures may assist efforts to improve care quality and deliver more equitable care on the part of hospitals, payers, and other stakeholders.

Most patient satisfaction studies put an emphasis on finding key drivers (attribute) to increase overall patient satisfaction. However, it is not clear how much health care managers need to improve certain attributes to attain the target overall patient satisfaction level. The study aims at finding not only what attributes, but also how much these attributes need to be improved to attain the target levels of patient satisfaction. The study uses an ordinal logistic regression model to analyze attribute reactions to salient drivers. This approach would significantly enhance health care managers' capabilities to develop a strategic plan to improve their patient satisfaction levels.

With increasing emphasis in healthcare on patient satisfaction, many patient satisfaction studies have been administered. Most assume that all patients combine their healthcare experiences (such as nursing care, physician care, etc.) in the same way to arrive at their satisfaction; however, no research has been conducted prior to the present study to investigate how patients' health conditions influence the way they combine their healthcare experiences. This study aims to determine how seriously ill patients differ from less seriously ill patients during their combining process. Data were collected from five large hospitals in the St. Louis area by administering a patient satisfaction questionnaire. Multiple linear regression analyses with a scatter term, a severity measure, and interaction effects of the severity measure were conducted while controlling for age, gender, and race. Two models (overall quality of care and willingness to recommend to others) were analyzed, and the severity of illness variable revealed interaction effects with physician care, staff care, food, and scatter term variables in the willingness to recommend model (six attributes were analyzed: admission process, nursing care, physician care, staff care, food, and room). With more seriously ill patients, physician care becomes more important and staff care becomes less important, and seriously ill patients are proportionately more likely to combine their attribute reactions only in the willingness to recommend model. All six attributes are not equally influential. Nursing care and staff care show consistent influence in both models. These findings show that if healthcare managers want to increase their patient satisfaction, they should enhance nursing care and staff care first to experience the most improvement.

This article presents the rationale for using multilevel analysis to address the broad environmental contexts in patient satisfaction research. This study utilized patient satisfaction data and the American Hospital Association Hospital Guide Book (2004). This study found significant contributions of individual patient attribute reactions (nursing care, physician care, etc.), and also clearly demonstrated hospital-level effects and cross-level interactions on patient satisfaction. Thus, it is clear that patient satisfaction is not solely explained by patients' attribute reactions and their demographic variables, but is also explained by patients' hospital levels. This approach would offer additional understanding in patient satisfaction research.

Objectives: The disclosure of harmful errors to patients is recommended, but appears to be uncommon. Understanding how trainees disclose errors and how their practices evolve during training could help educators design programmes to address this gap. This study was conducted to determine how trainees would disclose medical errors., Methods: We surveyed 758 trainees (488 students and 270 residents) in internal medicine at two academic medical centres. Surveys depicted one of two harmful error scenarios that varied by how apparent the error would be to the patient. We measured attitudes and disclosure content using scripted responses., Results: Trainees reported their intent to disclose the error as 'definitely' (43%), 'probably' (47%), 'only if asked by patient' (9%), and 'definitely not' (1%). Trainees were more likely to disclose obvious errors than errors that patients were unlikely to recognise (55% versus 30%; p < 0.01). Respondents varied widely in the type of information they would disclose. Overall, 50% of trainees chose to use statements that explicitly stated that an error rather than only an adverse event had occurred. Regarding apologies, trainees were split between conveying a general expression of regret (52%) and making an explicit apology (46%). Respondents at higher levels of training were less likely to use explicit apologies (trend p < 0.01). Prior disclosure training was associated with increased willingness to disclose errors (odds ratio 1.40, p = 0.03)., Conclusions: Trainees may not be prepared to disclose medical errors to patients and worrisome trends in trainee apology practices were observed across levels of training. Medical educators should intensify efforts to enhance trainees' skills in meeting patients' expectations for the open disclosure of harmful medical errors., (© Blackwell Publishing Ltd 2011.)

Background: Consequences of fall-related injuries can be both physically and financially costly, yet without current data, hospitals cannot completely determine the financial cost. As part of the analysis for an initiative to minimize falls with injury, the cost and length of stay attributable to serious fall injury were estimated at three hospitals in a Midwestern health care system, Methods: In a retrospective case-control study, 57 hospital inpatients discharged between January 1, 2004, and October 16, 2006, who sustained a serious fall-related injury (fracture, subdural hematoma, any injury resulting in surgical intervention, or death) were identified through the incident reporting system and matched to nonfaller inpatient controls by hospital, age within five years, year of discharge, and diagnosis-related group (DRG)., Results: Multivariate analyses indicated that operational costs for fallers with serious injury, as compared with controls, were $13,316 more (p < .01; 95% confidence interval [CI], $1,395-$35,561) and that fallers stayed 6.3 days longer than nonfallers (p < .001; 95% CI, 2.4-14.9). Univariate analyses indicated they were also significantly more likely to have diabetes with organ damage, moderate to severe renal disease, and a higher mean score on the Charlson Comorbidity Index. In optimal bipartite matching (OBM) analyses, fallers with serious injury cost $13,806 more (p < .001; 95% CI, $5,808-$29,450) and stayed 6.9 days longer (p < .001; 95% CI, 2.8-14.9)., Conclusions: Hospital inpatients who sustained a serious fall-related injury had higher total operational costs and longer lengths of stay than nonfallers. Despite possible limitations regarding the cost allocation methods, the analysis included data from three different hospitals, and supplemental multivariate analyses adjusting for academic hospital status did not meaningfully affect the results.

Background: Physicians are encouraged to disclose medical errors to patients, which often requires close collaboration between physicians and risk managers., Methods: An anonymous national survey of 2,988 healthcare facility-based risk managers was conducted between November 2004 and March 2005, and results were compared with those of a previous survey (conducted between July 2003 and March 2004) of 1,311 medical physicians in Washington and Missouri. Both surveys included an error-disclosure scenario for an obvious and a less obvious error with scripted response options., Results: More risk managers than physicians were aware that an error-reporting system was present at their hospital (81% versus 39%, p < .001) and believed that mechanisms to inform physicians about errors in their hospital were adequate (51% versus 17%, p < .001). More risk managers than physicians strongly agreed that serious errors should be disclosed to patients (70% versus 49%, p < .001). Across both error scenario, risk managers were more likely than physicians to definitely recommend that the error be disclosed (76% versus 50%, p < .001) and to provide full details about how the error would be prevented in the future (62% versus 51%, p < .001). However, physicians were more likely than risk managers to provide a full apology recognizing the harm caused by the error (39% versus 21%, p < .001)., Conclusions: Risk managers have more favorable attitudes about disclosing errors to patients compared with physicians but are less supportive of providing a full apology. These differences may create conflicts between risk managers and physicians regarding disclosure. Health care institutions should promote greater collaboration between these two key participants in disclosure conversations.

Background: Influenza vaccination of health care workers has been recommended since 1984. Multiple strategies to enhance vaccination rates have been suggested, but national rates have remained low., Methods: BJC HealthCare is a large Midwestern health care organization with approximately 26,000 employees. Because organizational vaccination rates remained below target levels, influenza vaccination was made a condition of employment for all employees in 2008. Medical or religious exemptions could be requested. Predetermined medical contraindications include hypersensitivity to eggs, prior hypersensitivity reaction to influenza vaccine, and history of Guillan-Barré syndrome. Medical exemption requests were reviewed by occupational health nurses and their medical directors. Employees who were neither vaccinated nor exempted by 15 December 2008 were not scheduled for work. Employees still not vaccinated or exempt by 15 January 2009 were terminated., Results: Overall, 25,561 (98.4%) of 25,980 active employees were vaccinated. Ninety employees (0.3%) received religious exemptions, and 321 (1.2%) received medical exemptions. Eight employees (0.03%) were not vaccinated or exempted. Reasons for medical exemption included allergy to eggs (107 [33%]), prior allergic reaction or allergy to other vaccine component (83 [26%]), history of Guillan-Barré syndrome (15 [5%]), and other (116 [36%]), including 14 because of pregnancy. Many requests reflected misinformation about the vaccine., Conclusions: A mandatory influenza vaccination campaign successfully increased vaccination rates. Fewer employees sought medical or religious exemptions than had signed declination statements during the previous year. A standardized medical exemption request form would simplify the request and review process for employees, their physicians, and occupational health and will be used next year.

Patient satisfaction is a critical part of the quality outcomes of healthcare. Every industry is interested in customer satisfaction because satisfied customers are loyal customers. Healthcare is no exception. Many research studies assume that satisfied patients are more likely to recommend their providers to their friends and to return when they need care again. Although this assumption sounds logical, we argue that three dependent variables-the Evaluation of Overall Quality of Care, Willingness to Recommend, and Willingness to Return-are unique constructs. Thus, we examine how patient reactions (experiences) to different hospital care attributes (factors or dimensions) influence these dependent variables. Our study analyzed a comprehensive patient satisfaction data set collected by BJC HealthCare. We used a multiple linear regression model with a scatter term to analyze 14,432 cases. In Evaluation of Overall Quality of Care model, we found that the nursing care attribute showed the strongest influence, followed by staff care. In assessing the other two models-Willingness to Recommend and Willingness to Return-we found that staff care showed the strongest influence, followed by nursing care. Patients put a different emphasis or a different priority on their reactions to hospital care attributes, depending on which outcome they arrive at. In addition, we found that patients are disproportionately influenced by a weak or poor attribute reaction, which is a conjunctive strategy (risk averse). In general, nursing care and staff care should be the first priority for improvement. This may be good news because these areas are under the control of hospital managers.

Background: Surgical peer review might be characterized by assessment heterogeneity., Methods: We performed a prospective, anonymous, peer review of surgeon and system performance during a morbidity and mortality conference., Results: Twenty-two cases were reviewed by a mean of 48.9 respondents each, including attendings, fellows, and residents. A mean of 50% (standard deviation, 23%) of respondents identified some quality issue in each case, reflecting high heterogeneity. The mean percentage in identifying a system issue was 27%, and in identifying a physician issue was 37%. When identifying a physician issue, physician care was judged as appropriate by 72%, as controversial by 26%, or as inappropriate by 2%. Residents were more likely than attendings to identify system issues (odds ratio, 2.23) and physician issues (odds ratio, 3.58), but attendings were more likely to rate care controversial or inappropriate (odds ratio, 2.53)., Conclusions: Surgical peer reviews, even after group discussion, display substantial heterogeneity. Review methods should account for this heterogeneity.

Background: The Agency for Healthcare Research and Quality (AHRQ) patient safety indicators (PSIs) screen for potentially preventable complications in hospitalized patients using hospital administrative data. The PSI for postoperative venous thromboembolism (VTE) relies on International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) codes for deep vein thrombosis (DVT) or pulmonary embolism (PE) in secondary diagnoses fields. In a clinical validation study of the PSI for postoperative VTE, natural language processing (NLP), supplemented by pharmacy and billing data, was used to identify VTE events missed by medical records coders., Methods: In a retrospective review of postsurgical discharges, charts were processed using the AHRQ PSI software. Cases were identified as possible false negatives by flagging charts for possible VTEs using pharmacy and billing data to identify all patients who were therapeutically anticoagulated or had placement of an inferior vena caval filter. All charts were reviewed by a physician blinded to screening results. Physician interpretation was considered the gold standard for VTE classification., Results: The AHRQ PSI had a positive predictive value (PPV) of .545 (95% confidence interval [CI], .453-.634) and a negative predictive value (NPV) of .997 (95% CI, .995-.999). Sensitivity was .87 and specificity was .98. Secondary coding review suggested that all 9 false-negative results were miscoded; if they had been properly coded, the sensitivity would increase to 1.00. Most false-positive cases resulted from superficial venous clots identified by the PSI due to coding ambiguity., Discussion: The VTE PSI performed well as a screening tool but generated a significant number of false-positive cases, a problem that could be substantially reduced with improved coding methods.

We tested whether a technology-assisted pharmacist intervention improved physician adherence to guidelines for lipid-lowering therapy in diabetic patients. Computerized alerts identified diabetic patients above LDL-Cholesterol (LDL-C) goal. During Period 1 prescribing behavior was observed in both control and intervention physician groups without intervening. In Period 2, pharmacists conducted academic detailing with intervention group physicians. Control group physicians were observed. The intervention significantly improved the proportion of diabetic patients discharged on statin therapy.

Adverse drug event (ADE) surveillance is needed to inform processes and methods for prevention. Voluntary reporting and manual chart review have limitations. Automated surveillance systems are gaining recognition and provide useful information to supplement the other methods. Preliminary evaluation of a pediatric automated adverse drug event application shows a positive predictive value of 13%, discovering events with harm in 1.3% of inpatient admissions.

We tested and adapted Cancer Text Information Extraction System (caTIES), a publicly available natural language processing tool (NLP), as a method for identifying terms suggestive of adverse drug events (ADEs). Although caTIES was intended to extract concepts from surgical pathology reports, we report that it can successfully be used to search for ADEs on a much broader range of documents.

The accurate and timely reporting of healthcare-associated infections is an essential infection control practice. Rates provide benchmarks for detecting trends and can help facilities identify intervention opportunities. Standardizing how hospitals within an organization calculate these rates is critical if the rates are to be compared among hospitals and to national standards. We describe a new web-based tool to improve how infection control practitioners identify and report healthcare-associated infections at BJC HealthCare.

Background: Medication errors occur frequently, result in significant morbidity and mortality, and are often preventable. A multifaceted intervention was conducted to reduce prescribing errors in handwritten medication orders written by house staff., Methods: A before-and-after design was used to evaluate the intervention--which included grand rounds, an interactive presentation for house staff, and reminders (a checklist, chart inserts, and requests for clarification)--and targeted 20 safe prescribing behaviors., Results: At baseline, prescribing errors were more common among surgical house staff than medical house staff (1.08 errors/order versus 0.76 errors/order, p < .001). Only 1% of orders contained an overt error, but 49% were incomplete, 27% contained dangerous dose and frequency abbreviations, and 17% were illegible. Postintervention, the mean number of prescribing errors per order decreased for surgical house staff from 1.08 (standard deviation [SD], 0.23) to 0.85 (SD, 0.11; p < .001), with a more marked effect for house staff who attended the didactic portion of the intervention. In addition, the mean number of the more significant errors per order decreased from 0.65 (SD, 0.19) to 0.45 (SD, 0.13; p < .001), and significant decreases occurred in the proportion of orders that were incomplete, were illegible, and contained an overt error. However, prescribing errors per order increased in orders written by medical house staff from 0.76 (SD, 0.14) to 0.98 (SD, 0.11; p < .001)., Discussion: The intervention was associated with a modest improvement in the quality of medication orders written by surgical house staff. To reduce prescribing errors, multilevel interventions are needed, including training in safe prescribing for all physicians. Such training may need to be started in medical school and augmented and reinforced throughout residency.

Purpose: To measure trainees' attitudes and experiences regarding medical error and error disclosure., Method: In 2003, the authors carried out a cross-sectional survey of 629 medical students (320 in their second year, 309 in their fourth year), 226 interns (159 in medicine, 67 in surgery), and 283 residents (211 in medicine, 72 in surgery), a total 1,138 trainees at two U.S. academic health centers., Results: The response rate was 78% (889/1,138). Most trainees (74%; 652/881) agreed that medical error is among the most serious health care problems. Nearly all (99%; 875/884) agreed serious errors should be disclosed to patients, but 87% (774/889) acknowledged at least one possible barrier, including thinking that the patient would not understand the disclosure (59%; 525/889), the patient would not want to know about the error (42%; 376/889), and the patient might sue (33%; 297/889). Personal involvement with medical errors was common among the fourth-year students (78%; 164/209) and the residents (98%; 182/185). Among residents, 45% (83/185) reported involvement in a serious error, 34% (62/183) reported experience disclosing a serious error, and 63% (115/183) had disclosed a minor error. Whereas only 33% (289/880) of trainees had received training in error disclosure, 92% (808/881) expressed interest in such training, particularly at the time of disclosure., Conclusions: Although many trainees had disclosed errors to patients, only a minority had been formally prepared to do so. Formal disclosure curricula, coupled with supervised practice, are necessary to prepare trainees to independently disclose errors to patients by the end of their training.

Although physicians have been described as "reluctant partners" in reporting medical errors, this survey of 1,082 U.S. physicians found that most were willing to share their knowledge about harmful errors and near misses with their institutions and wanted to hear about innovations to prevent common errors. However, physicians found current systems to report and disseminate this information inadequate and relied on informal discussions with colleagues. Thus, much important information remains invisible to institutions and the health care system. Efforts to promote error reporting might not reach their potential unless physicians become more effectively engaged in reporting errors at their institutions.

Background: There is great interest in efficiently evaluating health care quality, but there is controversy over the use of administrative versus clinical data methods. We sought to compare actual mortality with risk-adjusted expected mortality in a sample population calculated by two different methods; one based on preexisting administrative records and one based on chart reviews., Study Design: We examined a sample of patients (n = 1,234) undergoing surgical procedures at an academic teaching hospital during 1 year. The first risk-adjustment method was that used by the National Surgical Quality Improvement Program, which is based on dedicated medical record review. The second method was that used by Solucient, LLC, which is based on preexisting administrative records., Results: The ratio of observed to expected mortality for this population set was higher using the National Surgical Quality Improvement Program algorithm (1.1; 95% CI, 0.8 to 1.5) than using the Solucient algorithm (0.9; 95% CI, 0.6 to 1.2) but neither estimate was notably different from 1.0. Similarly, when observed to expected mortality ratios were calculated separately for each quartile of mortality, there were no marked differences within quartiles, although minor differences with potential importance were noted. Fit was comparable by age categories, gender, and American Society of Anesthesiologists' categories. A number of actual deaths had higher predicted mortality scores using the Solucient algorithm., Conclusions: Risk-adjusted mortality estimates were comparable using administrative or clinical data. Minor performance differences might still have implications. Because of the potential lower cost of using administrative data, this type of algorithm can be an efficient alternative and should continue to be investigated.

While contact isolation can be an effective tool in reducing the transmission of nosocomial methicillin-resistant Staphylococcus aureus (MRSA), it can increase costs and may decrease the quality of patient care. Therefore, it is important to insure that only patients who need contact precautions are isolated. We describe a simple automated report to help infection control practitioners pro-actively identify patients that may no longer need isolation.

An automated guideline monitor for secondary prevention of acute myocardial infarction (AMI) has been favorably tested at an academic medical center using a randomized controlled trial. Subsequently, the monitor was implemented in a production mode and has been in production use for five years. Statistical process control analysis shows a generally sustainable effect of the intervention.

The next-generation model outlined in the AMIA Roadmap for National Action on Clinical Decision Support (CDS) is aimed to optimize the effectiveness of CDS interventions, and to achieve widespread adoption. BJC HealthCare re-engineered its existing CDS system in alignment with the AMIA roadmap and plans to use it for guidance on further enhancements. We present our experience and discuss an incremental approach to migrate towards the next generation of CDS applications from the viewpoint of a healthcare institution. Specifically, a CDS rule engine service with a standards-based rule representation format was built to simplify maintenance and deployment. Rules were separated from execution code and made customizable for multi-facility deployment. Those changes resulted in system improvement in the short term while aligning with long-term strategic objectives.

Collecting data for the Joint Commission on Accreditation of Healthcare Organizations (JCAHO) ORYX Core Measurement Reporting can be automated using an object-oriented, client-developed program that extracts data from a clinical data repository and utilizes an MHA vendor upload process. The process eliminated 39% of the manual data collection efforts.

We administered a knowledge and attitudes questionnaire regarding a technology assisted pharmacist mediated academic detailing intervention designed to improve physician adherence to coronary heart disease (CHD) secondary-prevention guidelines. Questionnaires were administered in two settings: an academic hospital and a community hospital. More knowledgeable physicians reported being more likely to prescribe a pharmacists' recommended medication and to agree that lipid profiles should be automatically performed for inpatients with elevated troponin.

The Agency for Healthcare Research and Quality (AHRQ) has promulgated patient safety indicators to identify potentially preventable adverse safety events, including venous thromboembolism (VTE). Identification of these events for quality reporting is commonly done with AHRQ-defined ICD9-CM codes. We tested a natural language processing service (NLP) as an alternative method of identification.

BJC HealthCare (BJC) uses a number of industry standard indicators to monitor the quality of services provided by each of its hospitals. By establishing an enterprise data warehouse as a central repository of clinical quality information, BJC is able to monitor clinical quality performance in a timely manner and improve clinical outcomes.

According to a recent Center for Disease Control survey, 33% of the US population is obese. Because labeled dosing guidelines are based upon non-obese individuals, under dosing of antibiotics may be problematic in this population. We developed an automated dose checking tool to efficiently detect potentially inappropriate dosing of antibiotics in bariatric (morbidly obese patients).

Background: Being involved in medical errors can compound the job-related stress many physicians experience. The impact of errors on physicians was examined., Methods: A survey completed by 3,171 of the 4,990 eligible physicians in internal medicine, pediatrics, family medicine, and surgery (64% response rate) examined how errors affected five work and life domains., Results: Physicians reported increased anxiety about future errors (61%), loss of confidence (44%), sleeping difficulties (42%), reduced job satisfaction (42%), and harm to their reputation (13%) following errors. Physicians' job-related stress increased when they had been involved with a serious error. However, one third of physicians only involved with near misses also reported increased stress. Physicians were more likely to be distressed after serious errors when they were dissatisfied with error disclosure to patients (odds ratio [OR] = 3.86, confidence interval [CI] = 1.66, 9.00), perceived a greater risk of being sued (OR = .28, CI = 1.50, 3.48), spent greater than 75% time in clinical practice (OR = 2.20, CI = 1.60, 3.01), or were female (OR = 1.91, CI = 1.21, 3.02). Only 10% agreed that health care organizations adequately supported them in coping with error-related stress., Discussion: Many physicians experience significant emotional distress and job-related stress following serious errors and near misses. Organizational resources to support physicians after errors should be improved.

Objective: Preventing hospital falls and injuries requires knowledge of fall and injury circumstances. Our objectives were to determine whether reported fall circumstances differ among hospitals and to identify predictors of fall-related injury., Design: Retrospective cohort study. Adverse event data on falls were compared according to hospital characteristics. Logistic regression was used to determine adjusted odds ratios (aORs) with 95% confidence intervals (CIs) for risk factors for fall-related injury., Setting: Nine hospitals in a Midwestern healthcare system., Patients: Inpatients who fell during 2001-2003., Results: The 9 hospitals reported 8,974 falls that occurred in patient care areas, involving 7,082 patients; 7,082 falls were included in our analysis. Assisted falls (which accounted for 13.3% of falls in the academic hospital and 9.8% of falls in the nonacademic hospitals; P<.001) and serious fall-related injuries (which accounted for 3.7% of fall-related injuries in the academic hospital and 2.2% of fall-related injuries in the nonacademic hospitals; P<.001) differed by hospital type. In multivariate analysis for the academic hospital, increased age (aOR, 1.006 [95% CI, 1.000-1.012]), falls in locations other than patient rooms (aOR, 1.53 [95% CI, 1.03-2.27]), and unassisted falls (aOR, 1.70 [95% CI, 1.23-2.36]) were associated with increased injury risk. Altered mental status was associated with a decreased injury risk (aOR, 0.72 [95% CI, 0.58-0.89]). In multivariate analysis for the nonacademic hospitals, increased age (aOR, 1.007 [95% CI, 1.002-1.013]), falls in the bathroom (aOR, 1.46 [95% CI, 1.06-2.01]), and unassisted falls (aOR, 1.83 [95% CI, 1.37-2.43]) were associated with injury. Female sex (aOR, 0.83 [95% CI, 0.71-0.97]) was associated with a decreased risk of injury., Conclusion: Some fall characteristics differed by hospital type. Further research is necessary to determine whether differences reflect true differences or merely differences in reporting practices. Fall prevention programs should target falls involving older patients, unassisted falls, and falls that occur in the patient's bathroom and in patient care areas outside of the patient's room to reduce injuries.

Background: Translating guidelines into clinical practice has proved to be quite difficult, even when the guidelines are well accepted and noncontroversial. Both computerized reminders and academic detailing have been effective in changing physician prescribing behavior. In this study, we sought to use these methods, mediated by clinical pharmacists, to improve adherence to the secondary prevention guidelines in hospitalized patients with myocardial infarction., Methods: A randomized, prospective study was performed in which computerized alerts identifying hospitalized patients with elevated troponin I levels were routed to clinical pharmacists. The pharmacists then conducted academic detailing for physicians caring for patients with acute myocardial infarction who were randomized to the intervention group. Patients in the control group received standard care. The main outcome measure was the proportion of patients discharged on a regimen of aspirin, beta-blockers, angiotensin-converting enzyme inhibitors, and statins., Results: The intervention had a significant impact on the proportion of patients discharged on a regimen of angiotensin-converting enzyme inhibitors (328/365 [89.9%] vs 409/488 [83.8%], intervention vs control, respectively, P = .02), and statins (344/365 [94.2%] vs 436/488 [89.3%], P = .02). There was no statistical impact on beta-blocker (350/365 [95.9%] vs 448/488 [91.8%], P = .10) or aspirin use (352/365 [96.4%] vs 471/488 [96.5%], P = .87). When all 4 classes were considered together, 305 (83.6%) of 365 patients vs 343 (70.3%) of 488 patients were discharged on a regimen of all secondary prevention medications to which they did not have a contraindication (P<.001)., Conclusion: A computerized alert with pharmacist-mediated academic detailing is an effective means to increase adherence to secondary prevention guidelines for coronary heart disease.

Background: A clear understanding of patients' understanding and perceived risk of medical errors is needed. Multiwave telephone interviews were conducted in 2002 with 1,656 inpatients from 12 Midwestern hospitals regarding patients' conceptualization of medical errors and perceived risk of seven types of medical errors., Results: Patients defined medical errors to include not only clinical mistakes but also falls, communication problems, and responsiveness. Ninety-four percent of respondents reported their medical safety as good, very good, or excellent, but 39% experienced at least one error-related concern, most commonly medication errors (17% of respondents), nursing mistakes (15%), and problems with medical equipment (10%). Frequency of concerns was associated with reduced willingness to recommend the hospital (p < .001)., Discussion: If patients' definition of medical errors is broader than the traditional medical definition, providers should clarify the term "error" to ensure effective communication. Most patients felt a high level of medical safety but a sizeable proportion experienced a concern about an error during hospitalization. The selective nature of concerns and the impact of patient and hospital characteristics provide insight into ways to engage patients in error prevention programs.

Background: Patients are often not told about harmful medical errors. The malpractice environment is considered a major determinant of physicians' willingness to disclose errors to patients. Yet, little is known about the malpractice environment's actual effect on physicians' error disclosure attitudes and experiences., Methods: Mailed survey of 2637 physicians (62.9% response rate) in the United States (Missouri and Washington) and Canada, countries with different malpractice environments., Results: Physicians' error disclosure attitudes and experiences were similar across country and specialty. Of the physicians, 64% agreed that errors are a serious problem. However, 50% disagreed that errors are usually caused by system failures. Ninety-eight percent endorsed disclosing serious errors to patients and 78% supported disclosing minor errors; 74% thought disclosing a serious error would be very difficult. Fifty-eight percent had disclosed a serious error to a patient, and 85% were satisfied with the disclosure, and 66% agreed that disclosing a serious error reduces malpractice risk. Respondents' estimates of the probability of lawsuits were not associated with their support for disclosure. The belief that disclosure makes patients less likely to sue (odds ratio, 1.58), not being in private practice (odds ratio, 1.47), being Canadian (odds ratio, 1.43), and being a surgeon (odds ratio, 1.26) were independently associated with higher support for disclosing serious errors., Conclusions: US and Canadian physicians' error disclosure attitudes and experiences are similar despite different malpractice environments, and reveal mixed feelings about disclosing errors to patients. The medical profession should address the barriers to transparency within the culture of medical and surgical specialties.

Background: A gap exists between patients' desire to be told about medical errors and present practice. Little is known about how physicians approach disclosure. The objective of the present study was to describe how physicians disclose errors to patients., Methods: Mailed survey of 2637 medical and surgical physicians in the United States (Missouri and Washington) and Canada (national sample). Participants received 1 of 4 scenarios depicting serious errors that varied by specialty (medical and surgical scenarios) and by how obvious the error would be to the patient if not disclosed (more apparent vs less apparent). Five questions measured what respondents would disclose using scripted statements., Results: Wide variation existed regarding what information respondents would disclose. Of the respondents, 56% chose statements that mentioned the adverse event but not the error, while 42% would explicitly state that an error occurred. Some physicians disclosed little information: 19% would not volunteer any information about the error's cause, and 63% would not provide specific information about preventing future errors. Disclosure was affected by the nature of the error and physician specialty. Of the respondents, 51% who received the more apparent errors explicitly mentioned the error, compared with 32% who received the less apparent errors (P<.001); 58% of medical specialists explicitly mentioned the error, compared with 19% of surgical specialists (P<.001). Respondents disclosed more information if they had positive disclosure attitudes, felt responsible for the error, had prior positive disclosure experiences, and were Canadian., Conclusions: Physicians vary widely in how they would disclose errors to patients. Disclosure standards and training are necessary to meet public expectations and promote professional responsibility following errors.

Background: Medical errors are common, and physicians have notably been poor medical error reporters. In the SICU, reporting was generally poor and reporting by physicians was virtually nonexistent. This study was designed to observe changes in error reporting in an SICU when a new card-based system (SAFE) was introduced., Study Design: Before implementation of the SAFE reporting system, education was given to all SICU healthcare providers. The SAFE system was introduced into the SICU for a 9-month period from March 2003 through November 2003, to replace an underused online system. Data were collected from the SAFE card reports and the online reporting systems during introduction, removal, and reimplementation of these cards. Reporting rates were calculated as number of reported events per 1,000 patient days., Results: Reporting rates increased from 19 to 51 reports per 1,000 patient days after the SAFE cards were introduced into the ICU (p