Mary Ann Blosky

Nontuberculous Mycobacterial Lung Disease Prevalence at Four Integrated Health Care Delivery Systems

RATIONALE Single-site clinic-based studies suggest an increasing prevalence of pulmonary nontuberculous mycobacteria (NTM) disease, but systematic data are lacking. OBJECTIVES To describe prevalence and trends for NTM lung disease at four geographically diverse integrated heath care delivery systems in the United States. METHODS We abstracted mycobacterial culture results from electronic laboratory databases and linked to other datasets containing clinical and demographic information. Possible cases were defined as a single positive NTM pulmonary isolate, and definite cases were defined as two positive sputum cultures, or one positive culture from a bronchoalveolar lavage or lung biopsy. Annual prevalence was calculated using United States census data; average annual prevalence is presented for 2004-2006. Poisson regression models were used to estimate the annual percent change in prevalence. MEASUREMENTS AND MAIN RESULTS A total of 28,697 samples from 7,940 patients were included in the analysis. Of these, 3,988 (50%) were defined as possible cases, and 1,865 (47%) of these were defined as definite cases. Average annual (2004-2006) site-specific prevalence ranged from 1.4 to 6.6 per 100,000. Prevalence was 1.l- to 1.6-fold higher among women relative to men across sites. The prevalence of NTM lung disease was increasing significantly at the two sites where trends were studied, by 2.6% per year among women and 2.9% per year among men. Among persons aged greater than or equal to 60 years, annual prevalence increased from 19.6 per 100,000 during 1994-1996 to 26.7 per 100,000 during 2004-2006. CONCLUSIONS The epidemiology of nontuberculous mycobacterial lung disease is changing, with a predominance of women and increasing prevalence at the sites studied.

Factors contributing to an increase in duplicate medication order errors after CPOE implementation

OBJECTIVE To evaluate the incidence of duplicate medication orders before and after computerized provider order entry (CPOE) with clinical decision support (CDS) implementation and identify contributing factors. DESIGN CPOE with duplicate medication order alerts was implemented in a 400-bed Northeastern US community tertiary care teaching hospital. In a pre-implementation post-implementation design, trained nurses used chart review, computer-generated reports of medication orders, provider alerts, and staff reports to identify medication errors in two intensive care units (ICUs). MEASUREMENT Medication error data were adjudicated by a physician and a human factors engineer for error stage and type. A qualitative analysis of duplicate medication ordering errors was performed to identify contributing factors. RESULTS Data were collected for 4147 patient-days pre-implementation and 4013 patient-days post-implementation. Duplicate medication ordering errors increased after CPOE implementation (pre: 48 errors, 2.6% total; post: 167 errors, 8.1% total; p<0.0001). Most post-implementation duplicate orders were either for the identical order or the same medication. Contributing factors included: (1) provider ordering practices and computer availability, for example, two orders placed within minutes by different providers on rounds; (2) communication and hand-offs, for example, duplicate orders around shift change; (3) CDS and medication database design, for example confusing alert content, high false-positive alert rate, and CDS algorithms missing true duplicates; (4) CPOE data display, for example, difficulty reviewing existing orders; and (5) local CDS design, for example, medications in order sets defaulted as ordered. CONCLUSIONS Duplicate medication order errors increased with CPOE and CDS implementation. Many work system factors, including the CPOE, CDS, and medication database design, contributed to their occurrence.

Characterising the complexity of medication safety using a human factors approach: an observational study in two intensive care units

Objective To examine medication safety in two intensive care units (ICU), and to assess the complexity of medication errors and adverse drug events (ADE) in ICUs across the stages of the medication-management process. Methods Four trained nurse data collectors gathered data on medication errors and ADEs between October 2006 and March 2007. Patient care documents (eg, medication order sheets, notes) and incident reports were used to identify medication errors and ADEs in a 24-bed adult medical/surgical ICU and an 18-bed cardiac ICU in a tertiary care, community teaching hospital. In this cross-sectional study, a total of 630 consecutive ICU patient admissions were assessed to produce data on the number, rates and types of potential and preventable ADEs across stages of the medication-management process. Results An average of 2.9 preventable or potential ADEs occurred in each admission, that is, 0.4 events per patient-day. Preventable or potential ADEs occurred in 2.6% of the medication orders. The rate of potential ADEs per 1000 patient-days was 276, whereas the rate of preventable ADEs per 1000 patient-days was 9.2. Most medication errors occur at the ordering (32%) and administration stages (39%). In 16–24% of potential and preventable ADEs, clusters of errors occurred either as a sequence of errors (eg, delay in medication dispensing leading to delay in medication administration) or grouped errors (eg, route and frequency errors in the order for a medication). Many of the sequences led to administration errors that were caused by errors earlier in the medication-management process. Conclusions Understanding the complexity of the vulnerabilities of the medication-management process is important to devise solutions to improve patient safety. Electronic health record technology with computerised physician order entry may be one step necessary to improve medication safety in ICUs. Solutions that target multiple stages of the medication-management process are necessary to address sequential errors.

Impact of electronic order management on the timeliness of antibiotic administration in critical care patients

OBJECTIVE To examine the effect of implementing electronic order management on the timely administration of antibiotics to critical-care patients. METHODS We used a prospective pre-post design, collecting data on first-dose IV antibiotic orders before and after the implementation of an integrated electronic medication-management system, which included computerized provider order entry (CPOE), pharmacy order processing and an electronic medication administration record (eMAR). The research was performed in a 24-bed adult medical/surgical ICU in a large, rural, tertiary medical center. Data on the time of ordering, pharmacy processing and administration were prospectively collected and time intervals for each stage and the overall process were calculated. RESULTS The overall turnaround time from ordering to administration significantly decreased from a median of 100 min before order management implementation to a median of 64 min after implementation. The first part of the medication use process, i.e., from order entry to pharmacy processing, improved significantly whereas no change was observed in the phase from pharmacy processing to medication administration. DISCUSSION The implementation of an electronic order-management system improved the timeliness of antibiotic administration to critical-care patients. Additional system changes are required to further decrease the turnaround time.

Beta‐lactam versus beta‐ lactam/macrolide therapy in pediatric outpatient pneumonia

The objective was to evaluate the comparative effectiveness of beta‐lactam monotherapy and beta‐ lactam/macrolide combination therapy in the outpatient management of children with community‐acquired pneumonia (CAP).

Adjunct Systemic Corticosteroid Therapy in Children With Community-Acquired Pneumonia in the Outpatient Setting.

BACKGROUND The role of adjunct systemic corticosteroid therapy in children with community-acquired pneumonia (CAP) is not known. The objective was to determine the association between adjunct systemic corticosteroid therapy and treatment failure in children who received antibiotics for treatment of CAP in the outpatient setting. METHODS The study included a retrospective cohort study of children, aged 1-18 years, with a diagnosis of CAP who were managed at an outpatient practice affiliated with Geisinger Health System from January 1, 2008 to January 31, 2010. The primary exposure was the receipt of adjunct corticosteroid therapy. The primary outcome was treatment failure defined as a respiratory-associated follow-up within 14 days of diagnosis in which the participant received a change in antibiotic therapy. The probability of receiving adjunct systemic corticosteroid therapy was calculated using a matched propensity score. A multivariable conditional logistic regression model was used to estimate the association between adjunct corticosteroids and treatment failure. RESULTS Of 2244 children with CAP, 293 (13%) received adjunct corticosteroids, 517 (23%) had underlying asthma, and 624 (28%) presented with wheezing. Most patients received macrolide monotherapy for their CAP diagnosis (n = 1329; 59%). Overall, treatment failure was not associated with adjunct corticosteroid treatment (odds ratio [OR], 1.72; 95% confidence interval [CI], 0.93 and 3.19), but the association was statistically significant among patients with no history of asthma (OR, 2.38; 95% CI, 1.03 and 5.52), with no statistical association among patients with a history of asthma. CONCLUSION Adjunct corticosteroid therapy was associated with treatment failure among children diagnosed with CAP who did not have underlying asthma.

Comparative Effectiveness of Beta-lactam Versus Macrolide Monotherapy in Children with Pneumonia Diagnosed in the Outpatient Setting.

Background: Most children diagnosed with community-acquired pneumonia (CAP) are treated in the outpatient setting. The objective of this study was to determine the comparative clinical effectiveness of beta-lactam monotherapy and macrolide monotherapy in this population. Study Design: Children, 1–18 years old, with a clinical diagnosis of CAP at an outpatient practice affiliated (n = 71) with Geisinger Health System during January 1, 2008 to January 31, 2010 were eligible. The primary exposure was receipt of beta-lactam or macrolide monotherapy. The primary outcome was treatment failure defined as change in antibiotic prescription within 14 days of the initial pneumonia diagnosis. Propensity scores were used to determine the likelihood of receiving macrolide monotherapy. Treatment groups were matched 1:1, based on propensity score, age group and asthma status. Multivariable conditional logistic regression models estimated the association between macrolide monotherapy and treatment failures. Results: Of 1999 children with CAP, 1164 were matched. In the matched cohorts, 24% of children had asthma. Patients who received macrolide monotherapy had no statistical difference in treatment failure regardless of age when compared with patients who received beta-lactam monotherapy. Conclusion: Our findings suggest that children diagnosed with CAP in the outpatient setting and treated with beta-lactam or macrolide monotherapy have the same likelihood to fail treatment regardless of age.

Safety of the Antibiotic Medication Use Process in the Intensive Care Unit

Understanding the antibiotic medication use process in the intensive care unit (ICU) is important for patient care outcomes. A system view of the medication use process facilitates understanding the role of communication between various disciplines in ensuring the timely administration of antibiotics. Antibiotic-related medication safety events (N = 312) were collected in two adult ICUs. We describe the information and communication flow in the medication use process and show the complexity of the process. An in-depth analysis of 101 (32%) events for late first-dose antibiotic identifies multiple factors contributing to the events.

Medication Safety in Two Intensive Care Units of a Community Teaching Hospital After Electronic Health Record Implementation: Sociotechnical and Human Factors Engineering Considerations.

OBJECTIVE The aim of the study was to assess the impact of Electronic Health Record (EHR) implementation on medication safety in two intensive care units (ICUs). METHODS Using a prospective pre-post design, we assessed 1254 consecutive admissions to two ICUs before and after an EHR implementation. Each medication event was evaluated with regard to medication error (error type, medication-management stage) and impact on patient (severity of potential or actual harm). RESULTS We identified 4063 medication-related events either pre-implementation (2074 events) or post-implementation (1989 events). Although the overall potential for harm due to medication errors decreased post-implementation only 2 of the 3 error rates were significantly lower post-implementation. After EHR implementation, we observed reductions in rates of medication errors per admission at the stages of transcription (0.13-0, P < 0.001), dispensing (0.49-0.16, P < 0.001), and administration (0.83-0.56, P = 0.011). Within the ordering stage, 4 error types decreased post-implementation (orders with omitted information, error-prone abbreviations, illegible orders, failure to renew orders) and 4 error types increased post-implementation (orders of wrong drug, orders containing a wrong start or stop time, duplicate orders, orders with inappropriate or wrong information). Within the administration stage, we observed a reduction of late administrations and increases in omitted administrations and incorrect documentation. CONCLUSIONS Electronic Health Record implementation in two ICUs was associated with both improvement and worsening in rates of specific error types. Further safety improvements require a nuanced understanding of how various error types are influenced by the technology and the sociotechnical work system of the technology implementation. Recommendations based on human factors engineering principles are provided for reducing medication errors.