Association of Pharmacist Interventions With Adverse Drug Events and Potential Adverse Drug Events.

BACKGROUND: Adverse drug events (ADEs) are a frequent cause of injury in patients. Our aim was to assess whether pharmacist interventions compared with no pharmacist intervention results in reduced ADEs and potential adverse drug events (PADEs). METHODS: We searched MEDLINE, Embase, and two other databases through September 19, 2022 for any RCT assessing the effect of a pharmacist intervention compared with no pharmacist intervention and reporting on ADEs or PADEs. The risk of bias was assessed using the Cochrane tool for RCTs. A random-effects model was used to pool summary results from individual RCTs. RESULTS: Fifteen RCTs met the inclusion criteria. The pooled results showed a statistically significant reduction in ADE associated with pharmacist intervention compared with no pharmacist intervention (RR = 0.86; [95% CI 0.80-0.94]; p = 0.0005) but not for PADEs (RR = 0.79; [95% CI 0.47-1.32]; p = 0.37). The heterogeneity was insignificant (I2 = 0%) for ADEs and substantial (I2 = 77%) for PADEs. Patients receiving a pharmacist intervention were 14% less likely for ADE than those who did not receive a pharmacist intervention. The estimated number of patients needed to prevent one ADE across all patient locations was 33. CONCLUSIONS: To our knowledge, this is the first systematic review and meta-analysis of RCTs seeking to understand the association of pharmacist interventions with ADEs and PADEs. The risk of having an ADE is reduced by a seventh for patients receiving a pharmacist care intervention versus no such intervention. The estimated number of patients needed to be followed across all patient locations to prevent one preventable ADE across all patient locations is 33.

Drug allergies documented in electronic health records of a large healthcare system.

BACKGROUND: The prevalence of drug allergies documented in electronic health records (EHRs) of large patient populations is understudied. OBJECTIVE: We aimed to describe the prevalence of common drug allergies and patient characteristics documented in EHRs of a large healthcare network over the last two decades. METHODS: Drug allergy data were obtained from EHRs of patients who visited two large tertiary care hospitals in Boston from 1990 to 2013. The prevalence of each drug and drug class was calculated and compared by sex and race/ethnicity. The number of allergies per patient was calculated and the frequency of patients having 1, 2, 3…, or 10+ drug allergies was reported. We also conducted a trend analysis by comparing the proportion of each allergy to the total number of drug allergies over time. RESULTS: Among 1 766 328 patients, 35.5% of patients had at least one reported drug allergy with an average of 1.95 drug allergies per patient. The most commonly reported drug allergies in this population were to penicillins (12.8%), sulfonamide antibiotics (7.4%), opiates (6.8%), and nonsteroidal anti-inflammatory drugs (NSAIDs) (3.5%). The relative proportion of allergies to angiotensin-converting enzyme (ACE) inhibitors and HMG CoA reductase inhibitors (statins) have more than doubled since early 2000s. Drug allergies were most prevalent among females and white patients except for NSAIDs, ACE inhibitors, and thiazide diuretics, which were more prevalent in black patients. CONCLUSION: Females and white patients may be more likely to experience a reaction from common medications. An increase in reported allergies to ACE inhibitors and statins is noteworthy.

Task analysis of information technology-mediated medication management in outpatient care.

AIMS: Educating physicians in the procedural as well as cognitive skills of information technology (IT)-mediated medication management could be one of the missing links for the improvement of patient safety. We aimed to compose a framework of tasks that need to be addressed to optimize medication management in outpatient care. METHODS: Formal task analysis: decomposition of a complex task into a set of subtasks. First, we obtained a general description of the medication management process from exploratory interviews. Secondly, we interviewed experts in-depth to further define tasks and subtasks. SETTING: Outpatient care in different fields of medicine in six teaching and academic medical centres in the Netherlands and the United States. PARTICIPANTS: 20 experts. Tasks were divided up into procedural, cognitive and macrocognitive tasks and categorized into the three components of dynamic decision making. RESULTS: The medication management process consists of three components: (i) reviewing the medication situation; (ii) composing a treatment plan; and (iii) accomplishing and communicating a treatment and surveillance plan. Subtasks include multiple cognitive tasks such as composing a list of current medications and evaluating the reliability of sources, and procedural tasks such as documenting current medication. The identified macrocognitive tasks were: planning, integration of IT in workflow, managing uncertainties and responsibilities, and problem detection. CONCLUSIONS: All identified procedural, cognitive and macrocognitive skills should be included when designing education for IT-mediated medication management. The resulting framework supports the design of educational interventions to improve IT-mediated medication management in outpatient care.

Systems-based approaches to osteoporosis and fracture care: policy and research recommendations from the workgroups.

Participants in the conference selected to attend two different working group sessions. The working groups discussed different perspectives of system-based approaches to osteoporosis and fracture care. The group on postfracture case management recommended that nurse case managers be used to improve communication among patients, orthopaedic surgeons, and those providing ongoing clinical care. The hospital working group discussed the impact of and barriers to improved postfracture management in the hospital setting. The health systems group emphasized the difference between a closed system in which long-term benefits of interventions were more likely to be appreciated than in fee for service systems. The health information technology group discussed the advantages and challenges of electronic health records. The working group on consumer and provider education discussed interventions for both primary and secondary prevention of fractures. Recommendations were produced by most groups for improving postfracture care.

Impact of CPOE on mortality rates--contradictory findings, important messages.

OBJECTIVE: To analyze the seemingly contradictory results of the Han study (Pediatrics 2005) and the Del Beccaro study (Pediatrics 2006), both analyzing the effect of CPOE systems on mortality rates in pediatric intensive care settings. METHODS: Seven CPOE system experts from the United States and Europe comment on these papers. RESULTS: The two studies are not contradictory, but almost non-comparable due to differences in design and implementation. They demonstrate the range of outcomes that can be obtained from introducing informatics applications in complex health care settings. Implementing informatics applications is a sociotechnical activity, which often depends more on the organizational context than on a specific technology. As health informaticians, we must not only learn from failures, but also avoid both uncritical scepticism that may arise from drawing overly general conclusions from one negative trial, as much as uncritical optimism from limited successful ones. CONCLUSION: The commentaries emphasize the need to promote systematic studies for assessing the socio-technical factors that influence the introduction of increasingly sophisticated informatics applications within complex organizations. The emergence of evidence-based health informatics will be based both on evaluation guidelines and implementation guidelines, both of which increase the chances of successful implementation. In addition, well-educated health informaticians are needed to manage and guide the implementation processes.

Projected impact of monoclonal anti-endotoxin antibody therapy.

BACKGROUND: The goals of this study were to evaluate the criteria for administration of HA-1A monoclonal antibody therapy from the HA-1A trial in patients with suspected gram-negative bacteremia and to evaluate the accuracy with which Bone's criteria for sepsis syndrome identify patients with gram-negative bacteremia. METHODS: This prospective cohort study included 1509 episodes in which hospitalized patients had blood cultures performed in an urban tertiary-care hospital. The main outcome measures were gram-negative bacteremia and gram-negative sepsis. RESULTS: Of 1509 episodes, 115 (8%) represented bacteremia and 40 (3%) included gram-negative rods. Of these 40 patients, nine died in the hospital, including five patients who had gram-negative sepsis; all five had another rapidly fatal disease. Using criteria for treatment and exclusions from the HA-1A trial, three of the patients with gram-negative bacteremia would have been treated, while at least 52 patients without gram-negative bacteremia might have received HA-1A therapy (positive predictive value of criteria, 5.5%). Of the 1509 episodes, sepsis syndrome as defined by Bone was present in 34 (2.3%). While 32 of the 34 patients had suspected gram-negative bacteremia, only five had blood cultures positive for gram-negative bacteria. CONCLUSIONS: In this population, current criteria for administration of monoclonal anti-endotoxin antibody therapy were not sensitive or specific for gram-negative bacteremia, and many patients with gram-negative sepsis were too ill from other conditions to benefit. Indiscriminate use of these therapies could thus be costly yet yield few benefits. To identify patients who should receive novel therapies, better risk-stratification methods and cost-effectiveness analysis are needed.

Use and monitoring of "statin" lipid-lowering drugs compared with guidelines.

BACKGROUND: In patients with high cholesterol, 3-hydroxy-3-methylglutaryl coenzyme A reductase inhibitors (or "statins") have been shown to reduce overall mortality in primary and secondary prevention. The National Cholesterol Education Program expert panel's guidelines (Adult Treatment Panel II) recommend evaluation and treatment of high cholesterol based on stratification of patients according to cardiovascular risk. While evidence suggests that many patients are undertreated, comparatively few data are available regarding overtreatment. OBJECTIVES: To assess the appropriateness of statin therapy compared with national guidelines and to examine the appropriateness of monitoring for adverse effects. METHODS: For all patients at a tertiary medical center, electronic medical records were evaluated for presence or absence of statin use and for presence of established coronary heart disease or cardiac risk factors. Therapy was compared with the recommendations of the National Cholesterol Education Program guidelines. Our primary outcome measures included, for all patients taking statins, prevalence of appropriateness vs overuse, and for all patients with coronary heart disease, prevalence of appropriateness vs underuse. RESULTS: Overuse of statin therapy was found among 69% of patients undergoing primary prevention, and among 47% of patients undergoing secondary prevention. In addition, among patients with coronary heart disease who were not taking statins, 88% were undertreated. Monitoring of liver function varied widely, and did not correlate with the risk of adverse events secondary to statin use. CONCLUSIONS: Overtreatment and undertreatment for hyperlipidemia were frequent. Decision support may help physicians improve their performance compared with guidelines.

Preventable medical injuries in older patients.

Injuries associated with hospitalization are more common in older (>/=65 years) than in younger patients (<65 years), and they may be more severe and more often preventable. The increasing age of the population magnifies the importance of this problem. In this review, we first consider medical injuries in general and then review the literature for 6 categories: adverse drug events, falls, nosocomial infections, pressure sores, delirium, and surgical and perioperative complications. For each of these categories, older patients appear to be at higher risk, ranging from a 2.2-fold increase for perioperative complications to a 10-fold increase for falling, based on Harvard Medical Practice Study rates. The main cause of these increased risks appears to be the diminished physiological reserve of elderly patients; however, age alone is a less important predictor of adverse events than comorbidities and functional status. Furthermore, many of these complications appear to be preventable, although the proportion preventable varies by type of complication. While some prevention strategies are specifically beneficial in older patients, many apply to all age groups. Geriatric care units and consultation systems have improved outcomes in some instances, although the data are mixed. The success of intervention varies by type of complications. For medications, various interventions have been successful, and fall prevention programs have been demonstrated to be effective in the nursing home and home.

How bad are bacteremia and sepsis? Outcomes in a cohort with suspected bacteremia.

BACKGROUND: To evaluate the short-term and long-term outcomes of patients with suspected bacteremia, we performed a prospective cohort study. METHODS: Clinical data were collected within 24 hours of initial culture from a random sample of 1516 episodes in which blood cultures were performed in an urban tertiary care hospital. One hundred forty-two patients with bacteremia were compared with two comparison groups: (1) 142 randomly selected patients with negative cultures, matched in age within 5 years, gender, severity of underlying disease, and presence of major comorbidity, and (2) all 155 patients with contaminant cultures. The main outcome measures were death, death secondary to bacteremia, and major complications. RESULTS: In the 439 patients, there were 142 deaths (32%), 114 at 1 year (26%) and 46 within 30 days (11%). Mortality at 30 days was most highly correlated with predicted fatality of underlying disease: 48% for the 65 patients with a rapidly fatal disease, 9% for the 156 patients with an eventually fatal disease, and 0.5% for the 217 patients with no fatal disease. In a Cox survival analysis, the risk ratio associated with bacteremia was 1.6 (95% confidence interval, 1.0 to 2.4) vs the comparison groups. When we performed time-dependent Cox analyses in which the hazard ratio was allowed to change at 30 days, we found that the risk ratios associated with bacteremia were 2.3 (95% confidence interval, 1.2 to 4.4) for the first 30 days, and 1.3 (95% confidence interval, 0.76 to 2.1) after 30 days. CONCLUSIONS: We conclude that this population has a high mortality, which is strongly correlated with severity of underlying disease. Short-term mortality was higher in patients with bacteremia even after controlling for severity of illness, but the increase in risk was present only during the first month and most deaths occurred in patients with a rapidly fatal disease.

Evaluating the appropriateness of digoxin level monitoring.

BACKGROUND: Digoxin level determinations can be useful clinically in patients receiving digoxin therapy but are sometimes misused. METHODS: Explicit appropriateness criteria were adapted from previously published criteria and revised using local expert opinion. They were then used to evaluate the appropriateness of random samples of inpatient and outpatient serum digoxin levels. Overall agreement between reviewers regarding appropriateness was good (K = 0.65). Patients in the study included 162 inpatients in whom 224 digoxin levels were measured and 117 outpatients in whom 130 digoxin levels were measured during a 6-month period. The main outcome measure was the proportion of digoxin levels with an appropriate indication. RESULTS: Among inpatient levels, only 16% (95% confidence intervals [CI], 11%-20%) were appropriate. Of the 189 digoxin levels considered inappropriate, only 26 (14%) had a result of 2.3 nmol/L or more (> or =1.8 ng/ mL). None of these levels resulted in an important change in therapy, and no patient had a toxic reaction to the therapy. Among inappropriate levels, daily routine monitoring accounted for 78%. Of the 130 outpatient levels, 52% (95% CI, 44%-61%) were appropriate. Of 62 inappropriate levels, only 4 (6%) had a result of 2.3 nmol/L or more (> or =1.8 ng/mL). One result led to a change in therapy, but none of the patients were believed to experience a toxic reaction. Among the inappropriate levels, 87% of patients underwent early routine monitoring before a steady state was achieved. CONCLUSIONS: A high proportion of digoxin levels were inappropriate, particularly among inpatients. In both groups, the primary reason tests were judged inappropriate was early routine monitoring. Few inappropriate tests resulted in important data. Interventions to improve the use of digoxin levels could potentially save substantial resources without missing important clinical results.

Prevalence of fatigue and chronic fatigue syndrome in a primary care practice.

BACKGROUND: Our goals were to determine the prevalence of unusual, debilitating fatigue and the frequency with which it was associated with the chronic fatigue syndrome (CFS) or other physical or psychological illness in an outpatient clinic population. METHODS: We prospectively evaluated a cohort of 1000 consecutive patients in a primary care clinic in an urban, hospital-based general medicine practice. The study protocol included a detailed history, physical examination, and laboratory and psychiatric testing. RESULTS: Five patients who came because of CFS studies were excluded. Of the remaining 995, 323 reported fatigue, and 271 (27%) complained of at least 6 months of unusual fatigue that interfered with their daily lives. Of the 271, self-report or record review revealed a medical or psychiatric condition that could have explained the fatigue in 186 (69%). Thus, 85 (8.5%) of 995 patients had a debilitating fatigue of at least 6 months' duration, without apparent cause. Of these patients, 48 refused further evaluation, and 11 were unavailable for follow-up; 26 completed the protocol. Three of the 26 were hypothyroid, and one had a major psychiatric disorder. Of the remaining 22 patients, three met Centers for Disease Control and Prevention criteria for CFS, four met British criteria, and 10 met the Australian case definition. The point prevalences of CFS were thus 0.3% (95% confidence interval [CI], 0% to 0.6%), 0.4% (95% CI, 0% to 0.8%), and 1.0% (95% CI, 0.4% to 1.6%) using the Centers for Disease Control and Prevention, British, and Australian case definitions, respectively. These estimates were conservative, because they assumed that none of the patients who refused evaluation or were unavailable for follow-up would meet criteria for CFS. CONCLUSIONS: While chronic, debilitating fatigue is common in medical outpatients, CFS is relatively uncommon. Prevalence depends substantially on the case definition used.

Effects of computerized physician order entry on prescribing practices.

BACKGROUND: Computerized order entry systems have the potential to prevent errors, to improve quality of care, and to reduce costs by providing feedback and suggestions to the physician as each order is entered. This study assesses the impact of an inpatient computerized physician order entry system on prescribing practices. METHODS: A time series analysis was performed at an urban academic medical center at which all adult inpatient orders are entered through a computerized system. When physicians enter drug orders, the computer displays drug use guidelines, offers relevant alternatives, and suggests appropriate doses and frequencies. RESULT: For medication selection, use of a computerized guideline resulted in a change in use of the recommended drug (nizatidine) from 15.6% of all histamine(2)-blocker orders to 81.3% (P<.001). Implementation of dose selection menus resulted in a decrease in the SD of drug doses by 11% (P<.001). The proportion of doses that exceeded the recommended maximum decreased from 2.1% before order entry to 0.6% afterward (P<.001). Display of a recommended frequency for ondansetron hydrochloride administration resulted in an increase in the use of the approved frequency from 6% of all ondansetron orders to 75% (P<.001). The use of subcutaneous heparin sodium to prevent thrombosis in patients at bed rest increased from 24% to 47% when the computer suggested this option (P<.001). All these changes persisted at 1- and 2-year follow-up analyses. CONCLUSION: Computerized physician order entry is a powerful and effective tool for improving physician prescribing practices.

Risk factors for adverse drug events among nursing home residents.

BACKGROUND: In a prospective study of nursing home residents, we found adverse drug events (ADEs) to be common, serious, and often preventable. To direct prevention efforts at high-risk residents, information is needed on resident-level risk factors. METHODS: Case-control study nested within a prospective study of ADEs among residents in 18 nursing homes. For each ADE, we randomly selected a control from the same home. Data were abstracted from medical records on functional status, medical conditions, and medication use. RESULTS: Adverse drug events were identified in 410 nursing home residents. Independent risk factors included being a new resident (odds ratio [OR], 2.8; 95% confidence interval [CI], 1.5-5.2) and taking anti-infective medications (OR, 4.0; CI, 2.5-6.2), antipsychotics (OR, 3.2; CI, 2.1-4.9), or antidepressants (OR, 1.5; CI, 1.1-2.3). The number of regularly scheduled medications was associated with increased risk of ADEs; the OR associated with taking 5 to 6 medications was 2.0 (CI, 1.2-3.2); 7 to 8 medications, 2.8 (CI, 1.7-4.7); and 9 or more, 3.3 (CI, 1.9-5.6). Taking supplements or nutrients was associated with lower risk (OR, 0.42; CI, 0.27-0.63). Preventable ADEs occurred in 226 residents. Independent risk factors included taking opioid medications (OR, 6.6; CI, 2.3-19.3), antipsychotics (OR, 4.0; CI, 2.2-7.3), anti-infectives (OR, 3.0; CI, 1.6-5.8), antiepileptics (OR, 2.2; CI, 1.1-4.5), or antidepressants (OR, 2.0; CI, 1.1-3.5). Scores of 5 or higher on the Charlson Comorbidity Index were associated with increased risk of ADEs (OR, 2.6; CI, 1.1-6.0). The number of regularly scheduled medications was also a risk factor: the OR for 7 to 8 medications was 3.2 (CI, 1.4-6.9) and for 9 or more, 2.9 (CI, 1.3-6.8). Residents taking nutrients or supplements were at lower risk (OR, 0.27; CI, 0.14-0.50). CONCLUSIONS: It is possible to identify nursing home residents at high risk of having an ADE. Particular attention should be directed at new residents, those with multiple medical conditions, those taking multiple medications, and those taking psychoactive medications, opioids, or anti-infective drugs.

Abdominal cross-sectional imaging for inpatients with abnormal liver function test results: yield and usefulness.

BACKGROUND: Abdominal cross-sectional imaging is often performed to evaluate abnormal liver function test (LFT) results in hospitalized patients. However, few data are available regarding the yield and usefulness of imaging inpatients for the indication of abnormal LFT results, the process of requesting abdominal imaging studies, or the response to their findings. METHODS: We retrospectively reviewed abdominal imaging scans that were obtained during a 27-month period. We matched the imaging studies done with the indication of abnormal LFT results; all scans were requested using computerized physician order entry. Reports were coded for interpretation and associated process step results. To determine the usefulness of the imaging studies, a random sample of patient charts with positively coded imaging studies were reviewed. Imaging examinations were considered useful if they provided new diagnostic information and/or changed subsequent patient care. RESULTS: Of 6494 abdominal imaging studies, 856 were performed for the indication of abnormal LFT results and matched to both image reports and laboratory results. Report coding judged 37% of interpretations as clinically significant, including 27% with "positive" (abnormal results and explain the abnormal LFT results) examinations. Among the positive examinations, the most common diagnoses were biliary obstruction (25%), cholecystitis (21%), malignancy (20%), and cirrhosis (14%). Positively coded reports provided new clinical information in 63% of these studies and changed patient care in 42% of cases. Process measures assessed provision of additional information to and from radiologists (69% and 8%, respectively) and the frequency with which the findings of current abdominal imaging studies were compared with those of prior studies (59%). CONCLUSION: Abdominal cross-sectional imaging studies performed on inpatients with abnormal LFT results had a high diagnostic yield and frequently changed patient care.

Clinical laboratory test findings in patients with chronic fatigue syndrome.

BACKGROUND: Results of readily available clinical laboratory tests in patients with chronic fatigue syndrome were compared with results in healthy control subjects. METHODS: Cases consisted of all 579 patients who met either the Centers for Disease Control and Prevention, Atlanta, Ga, British, or Australian case definition for chronic fatigue syndrome. They were from chronic fatigue clinics in Boston, Mass, and Seattle, Wash. Control subjects consisted of 147 blood donors who denied chronic fatigue. Outcome measures were the results of 18 clinical laboratory tests. RESULTS: Age- and sex-adjusted odds ratios of abnormal results, comparing cases with control subjects, were as follows: circulating immune complexes, 26.5 (95% confidence interval [CI] 3.4-206), atypical lymphocytosis, 11.4 (95% CI, 1.4-94); elevated immunoglobulin G, 8.5 (95% CI, 2.0-37); elevated alkaline phosphatase, 4.2 (95% CI, 1.6-11); elevated total cholesterol, 2.1 (95% CI, 1.2-3.4); and elevated lactic dehydrogenase, 0.30 (95% CI, 0.16-0.56). Also, antinuclear antibodies were detected in 15% of cases vs 0% in the control subjects. The results of these tests were generally comparable for the cases from Seattle and Boston. Although these tests served to discriminate the population of patients from healthy control subjects, at the individual level they were not as useful. CONCLUSIONS: Patients with chronic fatigue syndrome who were located in two geographically distant areas had abnormalities in the results of several readily available clinical laboratory tests compared with healthy control subjects. The immunologic abnormalities are in accord with a growing body of evidence suggesting chronic, low-level activation of the immune system in chronic fatigue syndrome. While each of these laboratory findings supports the diagnosis of chronic fatigue syndrome, each lacks sufficient sensitivity to be a diagnostic test. Furthermore, the specificity of these findings relative to other organic and psychiatric conditions that can produce fatigue remains to be established.

Does the computerized display of charges affect inpatient ancillary test utilization?

BACKGROUND: The computerized display of charges for ancillary tests in outpatients has been found to affect physician-ordering behavior, but this issue has not been studied in inpatients. OBJECTIVE: To assess whether the computerized display of charges for clinical laboratory or radiological tests affected physician-ordering behavior. PATIENTS AND METHODS: Two prospective controlled trials, randomized by patient, were performed. Each trial included all medical and surgical inpatients at 1 large teaching hospital during 4 and 7 months: 3536 intervention and 3554 control inpatients in the group with clinical laboratory tests, and 8728 intervention and 8653 control inpatients in the group with radiological tests. The intervention consisted of the computerized display of charges for tests at the time of ordering. MAIN OUTCOME MEASURES: The number of clinical laboratory and radiological tests ordered per admission and the charges for these tests. RESULTS: For the clinical laboratory tests, during a 4-month study period, patients in the intervention group had 4.5% fewer tests ordered, and the total charges for these tests were 4.2% lower, although neither difference was statistically significant. Compared with historical controls from the same 4-month period a year before, the charges for the tests per admission had decreased 13.3%, but the decrease was temporally correlated with a restriction of future ordering of tests, and not with the introduction of the display of charges. For the radiological tests, during a 7-month period, the intervention group had almost identical numbers of tests ordered and charges for these tests. CONCLUSIONS: The computerized display of charges had no statistically significant effect on the number of clinical laboratory tests or radiological procedures ordered or performed, although small trends were present for clinical laboratory tests. More intensive interventions may be needed to affect physician test utilization.

Patient risk factors for adverse drug events in hospitalized patients. ADE Prevention Study Group.

BACKGROUND: Adverse drug events (ADEs) are common in hospitalized patients, but few empirical data are available regarding the strength of patient risk factors for ADEs. METHODS: We performed a nested case-control study within a cohort that included 4108 admissions to a stratified random sample of 11 medical and surgical units in 2 tertiary care hospitals during a 6-month period. Analyses were conducted on 2 levels: (1) using a limited set of variables available for all patients using computerized data available from 1 hospital and (2) using a larger set of variables for the case patients and matched controls from both hospitals. Case patients were patients with an ADE, and the matched control for each case patient was the patient on the same unit as the case patient with the most similar prevent length of stay. Main outcome measures were presence of an ADE, preventable ADE, or severe ADE. RESULTS: In the cohort analysis, electrolyte concentrates (odds ratio [OR], 1.7), diuretics (OR, 1.7), and medical admission (OR, 1.6) were independent correlates of ADEs. Independent correlates of preventable ADEs in the cohort analysis were low platelet count (OR, 4.5), antidepressants (OR, 3.3), antihypertensive agents (OR, 2.9), medical admission (OR, 2.2), and electrolyte concentrates (OR, 2.1). In the case-control analysis, exposure to psychoactive drugs (OR, 2.1) was an independent correlate of an ADE, and use of cardiovascular drugs (OR, 2.4) was independently correlated with severe ADEs. For preventable ADEs, no independent predictors were retained after multivariate analysis. CONCLUSIONS: Adverse drug events occurred more frequently in sicker patients who stayed in the hospital longer. However, after controlling for level of care and preevent length of stay, few risk factors emerged. These results suggest that, rather than targeting ADE-prone individuals, prevention strategies should focus on improving medication systems.

Health Information Technology and Care Coordination: The Next Big Opportunity for Informatics?

The costs of care in the U.S. are very high, in part because canre is relatively uncoordinated. To begin to address this and other issues, health care reform was passed, including the notion of accountable care. Under acountable care arrangements, providers are at risk for the costs of the care they provide to groups of patients. Evaluation of costs has made it clear that a large proportion of these costs are in the post-acute setting, and also that many specific problems such as adverse events and unnecessary readmissions occur following transitions. However, the electronic health records of today do not provide a great deal of assistance with the coordination of care, and even the best organizations have relatively primitive systems with respect to care coordination, even though communication is absolutely central to better coordination of care and health information technology (HIT) is a powerful lever for improving communication. This paper identifies specific gaps in care coordination today, presents a framework for better coordinating care using HIT, then describes how specific technologies can be leveraged. Also discussed are the need to build and test specific interventions to improve HIT-related care coordination tools, and the key policy steps needed to accomplish this.

Predicting bacteraemia in validated models--a systematic review.

Bacteraemia is associated with high mortality. Although many models for predicting bacteraemia have been developed, not all have been validated, and even when they were, the validation processes varied. We identified validated models that have been developed; asked whether they were successful in defining groups with a very low or high prevalence of bacteraemia; and whether they were used in clinical practice. Electronic databases were searched to identify studies that underwent validation on prediction of bacteraemia in adults. We included only studies that were able to define groups with low or high probabilities for bacteraemia (arbitrarily defined as below 3% or above 30%). Fifteen publications fulfilled inclusion criteria, including 59 276 patients. Eleven were prospective and four retrospective. Study populations and the parameters included in the different models were heterogeneous. Ten studies underwent internal validation; the model performed well in all of them. Twelve performed external validation. Of the latter, seven models were validated in a different hospital, using a new independent database. In five of these, the model performed well. After contacting authors, we found that none of the models was implemented in clinical practice. We conclude that heterogeneous studies have been conducted in different defined groups of patients with limited external validation. Significant savings to the system and the individual patient can be gained by refraining from performing blood cultures in groups of patients in which the probability of true bacteraemia is very low, while the probability of contamination is constant. Clinical trials of existing or new models should be done to examine whether models are helpful and safe in clinical use, preferably multicentre in order to secure utility and safety in diverse clinical settings.

Physician Perceptions and Beliefs about Generating and Providing a Clinical Summary of the Office Visit.

BACKGROUND: A core measure of the meaningful use of EHR incentive program is the generation and provision of the clinical summary of the office visit, or the after visit summary (AVS), to patients. However, little research has been conducted on physician perceptions and beliefs about the AVS. OBJECTIVES: Evaluate physician perceptions and beliefs about the AVS and the effect of the AVS on workload, patient outcomes, and the care the physician delivers. METHODS: A cross-sectional online survey of physicians at two academic medical centers (AMCs) in the northeast who are participating in the meaningful use EHR incentive program. RESULTS: Of the 1 795 physicians at both AMCs participating in the incentive program, 853 completed the survey for a response rate of 47.5%. Eighty percent of the respondents reported that the AVS was easy (very easy or quite easy or somewhat easy) to generate and provide to patients. Nonetheless, more than three-fourths of the respondents reported a negative effect of generating and providing the AVS on workload of office staff (78%) and workload of physicians (76%). Primary care physicians had more positive beliefs about the effect of the AVS on patient outcomes than specialists (p<0.001) and also had more positive beliefs about the effect of the AVS on the care they delivered than specialists (p<0.001). CONCLUSIONS: Achieving the core meaningful use measure of generating and providing the AVS was easy for physicians but it did not necessarily translate into positive beliefs about the effect of the AVS on patient outcomes or the care the physician delivered. Physicians also had negative beliefs about the effect of the AVS on workload. To promote positive beliefs among physicians around the AVS, organizations should obtain physician input into the design and implementation of the AVS and develop strategies to mitigate its negative impacts on workload.