A Pragmatic, Stepped-Wedge, Cluster-controlled Clinical Trial of Real-Time Pneumonia Clinical Decision Support.

Rationale: Care of emergency department (ED) patients with pneumonia can be challenging. Clinical decision support may decrease unnecessary variation and improve care. Objectives: To report patient outcomes and processes of care after deployment of electronic pneumonia clinical decision support (ePNa): a comprehensive, open loop, real-time clinical decision support embedded within the electronic health record. Methods: We conducted a pragmatic, stepped-wedge, cluster-controlled trial with deployment at 2-month intervals in 16 community hospitals. ePNa extracts real-time and historical data to guide diagnosis, risk stratification, microbiological studies, site of care, and antibiotic therapy. We included all adult ED patients with pneumonia over the course of 3 years identified by International Classification of Diseases, 10th Revision discharge coding confirmed by chest imaging. Measurements and Main Results: The median age of the 6,848 patients was 67 years (interquartile range, 50-79), and 48% were female; 64.8% were hospital admitted. Unadjusted mortality was 8.6% before and 4.8% after deployment. A mixed effects logistic regression model adjusting for severity of illness with hospital cluster as the random effect showed an adjusted odds ratio of 0.62 (0.49-0.79; P < 0.001) for 30-day all-cause mortality after deployment. Lower mortality was consistent across hospital clusters. ePNa-concordant antibiotic prescribing increased from 83.5% to 90.2% (P < 0.001). The mean time from ED admission to first antibiotic was 159.4 (156.9-161.9) minutes at baseline and 150.9 (144.1-157.8) minutes after deployment (P < 0.001). Outpatient disposition from the ED increased from 29.2% to 46.9%, whereas 7-day secondary hospital admission was unchanged (5.2% vs. 6.1%). ePNa was used by ED clinicians in 67% of eligible patients. Conclusions: ePNa deployment was associated with improved processes of care and lower mortality. Clinical trial registered with www.clinicaltrials.gov (NCT03358342).

Community-acquired pneumonia management and outcomes in the era of health information technology.

Pneumonia continues to be a leading cause of hospitalization and mortality. Implementation of health information technology (HIT) can lead to cost savings and improved care. In this review, we examine the literature on the use of HIT in the management of community-acquired pneumonia. We also discuss barriers to adoption of technology in managing pneumonia, the reliability and quality of electronic health data in pneumonia research, how technology has assisted pneumonia diagnosis and outcomes research. The goal of using HIT is to develop and deploy generalizable, real-time, computerized clinical decision support integrated into usual pneumonia care. A friendly user interface that does not disrupt efficiency and demonstrates improved clinical outcomes should result in widespread adoption.

Impact of an Electronic Clinical Decision Support Tool for Emergency Department Patients With Pneumonia.

STUDY OBJECTIVE: Despite evidence that guideline adherence improves clinical outcomes, management of pneumonia patients varies in emergency departments (EDs). We study the effect of a real-time, ED, electronic clinical decision support tool that provides clinicians with guideline-recommended decision support for diagnosis, severity assessment, disposition, and antibiotic selection. METHODS: This was a prospective, controlled, quasi-experimental trial in 7 Intermountain Healthcare hospital EDs in Utah's urban corridor. We studied adults with International Classification of Diseases, Ninth Revision codes and radiographic evidence for pneumonia during 2 periods: baseline (December 2009 through November 2010) and post-tool deployment (December 2011 through November 2012). The tool was deployed at 4 intervention EDs in May 2011, leaving 3 as usual care controls. We compared 30-day, all-cause mortality adjusted for illness severity, using a mixed-effect, logistic regression model. RESULTS: The study population comprised 4,758 ED pneumonia patients; 14% had health care-associated pneumonia. Median age was 58 years, 53% were female patients, and 59% were admitted to the hospital. Physicians applied the tool for 62.6% of intervention ED study patients. There was no difference overall in severity-adjusted mortality between intervention and usual care EDs post-tool deployment (odds ratio [OR]=0.69; 95% confidence interval [CI] 0.41 to 1.16). Post hoc analysis showed that patients with community-acquired pneumonia experienced significantly lower mortality (OR=0.53; 95% CI 0.28 to 0.99), whereas mortality was unchanged among patients with health care-associated pneumonia (OR=1.12; 95% CI 0.45 to 2.8). Patient disposition from the ED postdeployment adhered more to tool recommendations. CONCLUSION: This study demonstrates the feasibility and potential benefit of real-time electronic clinical decision support for ED pneumonia patients.

Validating hospital admission criteria for decision support in pneumonia.

BACKGROUND: We evaluated our previously derived admission criteria for agreement with physician decisions and outpatient failure among patients presenting to emergency departments (EDs) with pneumonia. METHODS: Among patients presenting to seven Intermountain EDs in the urban region of Utah with pneumonia December 1 2009-December 1 2010, we measured hospital admission rates and outpatient failure, defined as either 7-day secondary hospitalization or death in 30 days for patients initially discharged home from the ED. We measured our admission criteria's ability to predict hospital admission and its hypothetical rates of admission and outpatient failure with strict adherence to the criteria. We compared our admission criteria to other electronically calculable criteria, CURB-65 and A-DROP. RESULTS: In 2,308 patients, admission rate was 57%, 30-day mortality 6.1%, 7-day secondary hospitalization 5.8%, and outpatient failure rate 6.4%. Our admission criteria predicted hospital admission with an AUC of 0.77, compared to 0.73 for CURB-65 ≥ 2 and 0.78 for A-DROP ≥ 2. Hypothetical 100% concordance with our admission criteria decreased the hospitalization rate to 52% and reduced the outpatient failure rate to 3.9%, slightly better than A-DROP ≥ 2 (54% and 4.3%) and CURB-65 ≥ 2 (49% and 5.1%). CONCLUSIONS: Our admission criteria agreed acceptably with overall observed admission decisions for patients presenting to EDs with pneumonia, but may safely reduce hospital admission rates and increase recognition of patients at risk for outpatient failure compared to CURB-65 ≥ 2 or A-DROP ≥ 2.

Hospital admission decision for patients with community-acquired pneumonia: variability among physicians in an emergency department.

STUDY OBJECTIVE: We examine variability among emergency physicians in rate of hospitalization for patients with pneumonia and the effect of variability on clinical outcomes. METHODS: We studied 2,069 LDS Hospital emergency department (ED) patients with community-acquired pneumonia who were aged 18 years or older during 1996 to 2006, identified by International Classification of Diseases, Ninth Revision coding and compatible chest radiographs. We extracted vital signs, laboratory and radiographic results, hospitalization, and outcomes from the electronic medical record. We defined "low severity" as PaO(2)/FiO(2) ratio greater than or equal to 280 mm Hg, predicted mortality less than 5% by an electronic version of CURB-65 that uses continuous and weighted elements (eCURB), and less than 3 Infectious Disease Society of America-American Thoracic Society 2007 severe pneumonia minor criteria. We adjusted hospitalization decisions and outcomes for illness severity and patient demographics. RESULTS: Initial hospitalization rate was 58%; 10.7% of patients initially treated as outpatients were secondarily hospitalized within 7 days. Median age of admitted patients was 63 years; median eCURB predicted mortality was 2.65% (mean 6.8%) versus 46 years and 0.93% for outpatients. The 18 emergency physicians (average age 44.9 [standard deviation 7.6] years; years in practice 8.4 [standard deviation 6.9]) objectively calculated and documented illness severity in 2.7% of patients. Observed 30-day mortality for inpatients was 6.8% (outpatient mortality 0.34%) and decreased over time. Individual physician admission rates ranged from 38% to 79%, with variability not explained by illness severity, time of day, day of week, resident care in conjunction with an attending physician, or patient or physician demographics. Higher hospitalization rates were not associated with reduced mortality or fewer secondary hospital admissions. CONCLUSION: We observed a 2-fold difference in pneumonia hospitalization rates among emergency physicians, unexplained by objective data.

Technology implementation impacting the outcomes of patients with CAP.

Community-acquired pneumonia (CAP) combined with influenza is the eighth leading cause of death in the United States. This article examines the literature to understand and describe whether technology implementation has impacted the outcomes of patients with CAP. We conducted an electronic search of PubMed and scanned references of articles meeting inclusion criteria. Twenty-six articles were included in this review. We surveyed this literature for answers to the following questions: Can technology be used to improve quality of care and guideline compliance in CAP? How can we overcome the behavioral bottleneck that prevents adoption of computerized decision support systems? How reliable are our data in the era of electronic medical records? What are the risks associated with technology implementation? No articles demonstrated that technology implementation improves outcomes in the care of patients with CAP.

Deploying an Electronic Clinical Decision Support Tool for Diagnosis and Treatment of Pneumonia Into Rural and Critical Access Hospitals: Utilization, Effect on Processes of Care, and Clinician Satisfaction.

PURPOSE: Electronic clinical decision support (CDS) for treatment of community-acquired pneumonia (ePNa) is associated with improved guideline adherence and decreased mortality. How rural providers respond to CDS developed for urban hospitals could shed light on extending CDS to resource-limited settings. METHODS: ePNa was deployed into 10 rural and critical access hospital emergency departments (EDs) in Utah and Idaho in 2018. We reviewed pneumonia cases identified through ICD-10 codes after local deployment to measure ePNa utilization and guideline adherence. ED providers were surveyed to assess quantitative and qualitative aspects of satisfaction. FINDINGS: ePNa was used in 109/301 patients with pneumonia (36%, range 0%-67% across hospitals) and was associated with appropriate antibiotic selection (93% vs 65%, P < .001). Fifty percent of survey recipients responded, 87% were physicians, 87% were men, and the median ED experience was 10 years. Mean satisfaction with ePNa was 3.3 (range 1.7-4.8) on a 5-point Likert scale. Providers with a favorable opinion of ePNa were more likely to favor implementation of additional CDS (P = .005). Satisfaction was not associated with provider type, age, years of experience or experience with ePNa. Ninety percent of respondents provided qualitative feedback. The most common theme in high and low utilization hospitals was concern about usability. Compared to high utilization hospitals, low utilization hospitals more frequently identified concerns about adaptation for local needs. CONCLUSIONS: ePNa deployment to rural and critical access EDs was moderately successful and associated with improved antibiotic use. Concerns about usability and adapting ePNa for local use predominated the qualitative feedback.

CDS in a Learning Health Care System: Identifying Physicians' Reasons for Rejection of Best-Practice Recommendations in Pneumonia through Computerized Clinical Decision Support.

BACKGROUND: Local implementation of guidelines for pneumonia care is strongly recommended, but the context of care that affects implementation is poorly understood. In a learning health care system, computerized clinical decision support (CDS) provides an opportunity to both improve and track practice, providing insights into the implementation process. OBJECTIVES: This article examines physician interactions with a CDS to identify reasons for rejection of guideline recommendations. METHODS: We implemented a multicenter bedside CDS for the emergency department management of pneumonia that integrated patient data with guideline-based recommendations. We examined the frequency of adoption versus rejection of recommendations for site-of-care and antibiotic selection. We analyzed free-text responses provided by physicians explaining their clinical reasoning for rejection, using concept mapping and thematic analysis. RESULTS: Among 1,722 patient episodes, physicians rejected recommendations to send a patient home in 24%, leaving text in 53%; reasons for rejection of the recommendations included additional or alternative diagnoses beyond pneumonia, and comorbidities or signs of physiologic derangement contributing to risk of outpatient failure that were not processed by the CDS. Physicians rejected broad-spectrum antibiotic recommendations in 10%, leaving text in 76%; differences in pathogen risk assessment, additional patient information, concern about antibiotic properties, and admitting physician preferences were given as reasons for rejection. CONCLUSION: While adoption of CDS recommendations for pneumonia was high, physicians rejecting recommendations frequently provided feedback, reporting alternative diagnoses, additional individual patient characteristics, and provider preferences as major reasons for rejection. CDS that collects user feedback is feasible and can contribute to a learning health system.

Implementation of Real-Time Electronic Clinical Decision Support for Emergency Department Patients with Pneumonia Across a Healthcare System.

A real-time electronic CDS for pneumonia (ePNa) identifies possible pneumonia patients, measures severity and antimicrobial resistance risk, and then recommends disposition, antibiotics, and microbiology studies. Use is voluntary, and clinicians may modify treatment recommendations. ePNa was associated with lower mortality in emergency department (ED) patients versus usual care (Annals EM 66:511). We adapted ePNa for the Cerner EHR, and implemented it across Intermountain Healthcare EDs (Utah, USA) throughout 2018. We introduced ePNa through didactic, interactive presentations to ED clinicians; follow-up visits identified barriers and facilitators to use. Email reminded clinicians and answered questions. Hospital admitting clinicians encouraged ePNa use to smooth care transitions. Audit-and-feedback measured utilization, showing variations from best practice when ePNa and associated electronic order sets were not used. Use was initially low, but gradually increased especially at larger hospitals. A user-friendly interface, frequent reminders, audit-and- feedback, a user survey, a nurse educator, and local physician champions are additive towards implementation success.