Maxim Topaz

Rising drug allergy alert overrides in electronic health records: an observational retrospective study of a decade of experience

OBJECTIVE There have been growing concerns about the impact of drug allergy alerts on patient safety and provider alert fatigue. The authors aimed to explore the common drug allergy alerts over the last 10 years and the reasons why providers tend to override these alerts. DESIGN Retrospective observational cross-sectional study (2004-2013). MATERIALS AND METHODS Drug allergy alert data (n = 611,192) were collected from two large academic hospitals in Boston, MA (USA). RESULTS Overall, the authors found an increase in the rate of drug allergy alert overrides, from 83.3% in 2004 to 87.6% in 2013 (P < .001). Alarmingly, alerts for immune mediated and life threatening reactions with definite allergen and prescribed medication matches were overridden 72.8% and 74.1% of the time, respectively. However, providers were less likely to override these alerts compared to possible (cross-sensitivity) or probable (allergen group) matches (P < .001). The most common drug allergy alerts were triggered by allergies to narcotics (48%) and other analgesics (6%), antibiotics (10%), and statins (2%). Only slightly more than one-third of the reactions (34.2%) were potentially immune mediated. Finally, more than half of the overrides reasons pointed to irrelevant alerts (i.e., patient has tolerated the medication before, 50.9%) and providers were significantly more likely to override repeated alerts (89.7%) rather than first time alerts (77.4%, P < .001). DISCUSSION AND CONCLUSIONS These findings underline the urgent need for more efforts to provide more accurate and relevant drug allergy alerts to help reduce alert override rates and improve alert fatigue.

Qualitative analysis of naturalistic decision making in adults with chronic heart failure.

Background:Self-care of heart failure has been described as a naturalistic decision-making process, but the data available to defend this description are anecdotal. Objectives:The aim of this study was to explore the process used by adults with chronic heart failure to make decisions about their symptoms. Methods:This was a secondary analysis of data obtained from four mixed methods studies. The full data set held qualitative data on 120 adults over the age of 18 years. For this analysis, maximum variation sampling was used to purposively select a subset of 36 of the qualitative interviews to reanalyze. Results:In this sample, equally distributed by gender, 56% Caucasian, between 40 and 98 years, the overarching theme was that decisions about self-care reflect a naturalistic decision-making process with components of situation awareness with mental simulation of a plausible course of action and an evaluation of the outcome of the action. In addition to situation awareness and mental simulation, three key factors were identified as influencing self-care decision making: (a) experience; (b) decision characteristics such as uncertainty, ambiguity, high stakes, urgency, illness, and involvement of others in the decision-making process; and (c) personal goals. Discussion:These results support naturalistic decision making as the process used by this sample of adults with heart failure to make decisions about self-care.

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

The prevalence of drug allergies documented in electronic health records (EHRs) of large patient populations is understudied.

Successful electronic implementation of discharge referral decision support has a positive impact on 30 and 60-day readmissions

In a quasi-experimental study, decision support software was installed in three hospitals to study the ability to scale (spread) its use from one hospital on paper to three hospitals as software, and to examine the effect on 30- and 60-day readmissions. The Discharge Decision Support System (D2S2) software analyzes data collected by nurses on admission with a proprietary risk assessment tool, identifies patients in need of post-acute care, and alerts discharge planners. On six intervention units, with a concurrent comparison group of 76 units, we examined the implementation experience and compared readmission outcomes before and after implementation. The software implementation finished one month ahead of schedule, and the software performed reliably. High-risk patients admitted in the experimental phase after implementation of D2S2 decision support had significantly fewer 30-day readmissions (a decrease from 22.2% to 9.4%). When high- and low-risk patients were analyzed together, D2S2 achieved a 33% relative reduction in 30-day readmissions (13.1 to 8.8%) and sustained a 37% relative reduction at 60 days. The software, available commercially through RightCare Solutions, was adopted by the health system and remains in use after 22 months. The D2S2 risk assessment tool can be installed easily in existing EHR systems. Future research will focus on how the tool influences discharge decision-making and how its accuracy can be improved in specific settings.

Conducting research using the electronic health record across multi-hospital systems: semantic harmonization implications for administrators.

Administrators play a major role in choosing and managing the use of the electronic health record (EHR). The documentation policies and EHR changes enacted or approved by administrators affect the ability to use clinical data for research. This article illustrates the challenges that can be avoided through awareness of the consequences of customization, variations in documentation policies and quality, and user interface features. Solutions are posed that assist administrators in avoiding these challenges and promoting data harmonization for research and quality improvement.

A Systematic Review of Complementary and Alternative Medicine for Asthma Self- management

This article is a systematic review of complementary and alternative medicine use for pediatric and adult asthma self-management. The aim of the review was to summarize the existing body of research regarding the types and patterns of, adverse events and risky behaviors associated with, and patient-provider communication about complementary therapies in asthma. This evidence serves as the basis for a series of recommendations in support of patient-centered care, which addresses both patient preferences for integrated treatment and patient safety.

Cultural- and Educational-Level Differences in Students Knowledge, Attitudes, and Preferences for Working With Older Adults An Israeli Perspective

Background: The aim of this study was to examine the effect of nursing education on students’ knowledge, attitudes, and preferences to work with older adults in an ethnically diverse Israeli society. Methods: In a cross-sectional design, Kogan’s Old People Scale was used to measure attitudes toward older adults and Palmore’s Facts on Aging Quiz-1 to assess the level of knowledge of nursing students in four cohorts. Results: Of the 224 nursing students who responded to the survey, 55% were Jewish and 45% were Arabs. Ethnicity and knowledge were the strongest correlates (p < .0001) of attitudes, and attitudes and ethnicity (p < .0001) correlated with work preferences. Conclusions: While knowledge of old age among students increased, preferences for future career in geriatrics declined with education. Ethnicity was a strong predictor of attitudes and future intentions to work with older adults. Culturally tailored educational programs focused on changing the attitudes toward aging are critically needed.

Automated misspelling detection and correction in clinical free-text records

Accurate electronic health records are important for clinical care and research as well as ensuring patient safety. It is crucial for misspelled words to be corrected in order to ensure that medical records are interpreted correctly. This paper describes the development of a spelling correction system for medical text. Our spell checker is based on Shannons noisy channel model, and uses an extensive dictionary compiled from many sources. We also use named entity recognition, so that names are not wrongly corrected as misspellings. We apply our spell checker to three different types of free-text data: clinical notes, allergy entries, and medication orders; and evaluate its performance on both misspelling detection and correction. Our spell checker achieves detection performance of up to 94.4% and correction accuracy of up to 88.2%. We show that high-performance spelling correction is possible on a variety of clinical documents.

A Retrospective Study on Patient Characteristics and Telehealth Alerts Indicative of Key Medical Events for Heart Failure Patients at a Home Health Agency

OBJECTIVE To explore association of patient characteristics and telehealth alert data with all-cause key medical events (KMEs) of emergency department (ED) visits and hospitalizations as well as cardiac-related KMEs of ED visits, hospitalizations, and medication changes. MATERIALS AND METHODS A 6-month retrospective study was conducted of electronic patient records of heart failure (HF) patients using telehealth services at a Massachusetts home health agency. Data collected included patient demographic, psychosocial, disease severity factors and telehealth vital signs alerts. Association between patient characteristics and KMEs was analyzed by Generalized Estimating Equations. RESULTS The sample comprised 168 patients with a mean age of 83 years, 56% females, and 96% white. Ninety-nine cardiac-related KMEs and 87 all-cause KMEs were recorded for the subjects. Odds of a cardiac-related KME increased by 161% with the presence of valvular co-morbidity (p=0.001) and 106% with increased number of telehealth alerts (adjusted p<0.0001). Odds of an all-cause KME increased by 124% (p=0.02), 127% (p=0.01), and 70% (adjusted p<0.0001) with the presence of cancer co-morbidity, anxiety, and increased number of telehealth alerts, respectively. Overall, only 3% of all telehealth alerts were associated with KMEs. CONCLUSIONS The very low proportion of telehealth vital sign alerts associated with KMEs indicates that telehealth alerts alone cannot inform the need for intervention within the larger context of HF care delivery in the homecare setting. Patient-relevant data such as psychosocial and symptom status, involvement with HF self-management, and presence of co-morbidities could further inform the need for interventions for HF patients in the homecare setting.

Prevalence of food allergies and intolerances documented in electronic health records

Background: Food allergy prevalence is reported to be increasing, but epidemiological data using patients’ electronic health records (EHRs) remain sparse. Objective: We sought to determine the prevalence of food allergy and intolerance documented in the EHR allergy module. Methods: Using allergy data from a large health care organizations EHR between 2000 and 2013, we determined the prevalence of food allergy and intolerance by sex, racial/ethnic group, and allergen group. We examined the prevalence of reactions that were potentially IgE‐mediated and anaphylactic. Data were validated using radioallergosorbent test and ImmunoCAP results, when available, for patients with reported peanut allergy. Results: Among 2.7 million patients, we identified 97,482 patients (3.6%) with 1 or more food allergies or intolerances (mean, 1.4 ± 0.1). The prevalence of food allergy and intolerance was higher in females (4.2% vs 2.9%; P < .001) and Asians (4.3% vs 3.6%; P < .001). The most common food allergen groups were shellfish (0.9%), fruit or vegetable (0.7%), dairy (0.5%), and peanut (0.5%). Of the 103,659 identified reactions to foods, 48.1% were potentially IgE‐mediated (affecting 50.8% of food allergy or intolerance patients) and 15.9% were anaphylactic. About 20% of patients with reported peanut allergy had a radioallergosorbent test/ImmunoCAP performed, of which 57.3% had an IgE level of grade 3 or higher. Conclusions: Our findings are consistent with previously validated methods for studying food allergy, suggesting that the EHRs allergy module has the potential to be used for clinical and epidemiological research. The spectrum of severity observed with food allergy highlights the critical need for more allergy evaluations.