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Born C, Schwarz R, Böttcher TP, Hein A, Krcmar H. The role of information systems in emergency department decision-making-a literature review. J Am Med Inform Assoc 2024; 31:1608-1621. [PMID: 38781289 PMCID: PMC11187435 DOI: 10.1093/jamia/ocae096] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Revised: 04/11/2024] [Accepted: 04/15/2024] [Indexed: 05/25/2024] Open
Abstract
OBJECTIVES Healthcare providers employ heuristic and analytical decision-making to navigate the high-stakes environment of the emergency department (ED). Despite the increasing integration of information systems (ISs), research on their efficacy is conflicting. Drawing on related fields, we investigate how timing and mode of delivery influence IS effectiveness. Our objective is to reconcile previous contradictory findings, shedding light on optimal IS design in the ED. MATERIALS AND METHODS We conducted a systematic review following PRISMA across PubMed, Scopus, and Web of Science. We coded the ISs' timing as heuristic or analytical, their mode of delivery as active for automatic alerts and passive when requiring user-initiated information retrieval, and their effect on process, economic, and clinical outcomes. RESULTS Our analysis included 83 studies. During early heuristic decision-making, most active interventions were ineffective, while passive interventions generally improved outcomes. In the analytical phase, the effects were reversed. Passive interventions that facilitate information extraction consistently improved outcomes. DISCUSSION Our findings suggest that the effectiveness of active interventions negatively correlates with the amount of information received during delivery. During early heuristic decision-making, when information overload is high, physicians are unresponsive to alerts and proactively consult passive resources. In the later analytical phases, physicians show increased receptivity to alerts due to decreased diagnostic uncertainty and information quantity. Interventions that limit information lead to positive outcomes, supporting our interpretation. CONCLUSION We synthesize our findings into an integrated model that reveals the underlying reasons for conflicting findings from previous reviews and can guide practitioners in designing ISs in the ED.
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Affiliation(s)
- Cornelius Born
- School of Computation, Information and Technology, Technical University of Munich, 85748 Garching bei München, Germany
| | - Romy Schwarz
- School of Computation, Information and Technology, Technical University of Munich, 85748 Garching bei München, Germany
| | - Timo Phillip Böttcher
- School of Computation, Information and Technology, Technical University of Munich, 85748 Garching bei München, Germany
| | - Andreas Hein
- Institute of Information Systems and Digital Business, University of St. Gallen, 9000 St. Gallen, Switzerland
| | - Helmut Krcmar
- School of Computation, Information and Technology, Technical University of Munich, 85748 Garching bei München, Germany
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Campaña-Duel E, Camprubí-Rimblas M, Areny-Balagueró A, Quero S, Artigas A, Ceccato A. Risk of Multidrug-Resistant Pathogens in Severe Community-Acquired Pneumonia. Semin Respir Crit Care Med 2024; 45:246-254. [PMID: 38301713 DOI: 10.1055/s-0043-1778138] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2024]
Abstract
Severe community-acquired pneumonia (SCAP) is difficult to treat when caused by difficult-to-treat (DTR) pathogens because of limited treatment options and poorer clinical outcomes. Over time, several predictive scoring systems based on risk factors for infection with multidrug resistant pathogens have been developed. We reviewed the available tools for identifying DTR pathogens as the cause of SCAP, both predictive scoring systems and rapid diagnostic methods, to develop management strategies aimed at early identification of DTR pathogens, reducing broad-spectrum antibiotic use and improving clinical outcomes. The scoring systems reviewed show considerable heterogeneity among them at the level of the region studied, the definition of risk factors, as well as which DTR pathogens are the target pathogens. The models described have shown limited effectiveness in reducing inappropriate antibiotic treatment or improving patient outcomes by themselves. However, predictive models could serve as a first step in identifying DTR pathogen infections as part of a larger detection algorithm. Rapid diagnostic tools, such as multiplex polymerase chain reaction, would be useful for the rapid identification of pneumonia-causing pathogens and their resistance mechanisms. In resource-limited settings, rapid tests should be limited to patients at high risk of developing SCAP due to DTR pathogens. We propose an integrative algorithm based on the different scores, taking into account local epidemiological data, where ideally each center should have an antimicrobial stewardship program.
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Affiliation(s)
- E Campaña-Duel
- Critical Care Center, Parc Taulí Hospital Universitari, Institut d'Investigació i Innovació Parc Taulí (I3PT-CERCA), Universitat Autònoma de Barcelona, Sabadell, Spain
- Centro de Investigación Biomedica En Red de Enfermedades Respiratorias, Instituto de Salud Carlos III, Barcelona, Spain
| | - M Camprubí-Rimblas
- Critical Care Center, Parc Taulí Hospital Universitari, Institut d'Investigació i Innovació Parc Taulí (I3PT-CERCA), Universitat Autònoma de Barcelona, Sabadell, Spain
- Centro de Investigación Biomedica En Red de Enfermedades Respiratorias, Instituto de Salud Carlos III, Barcelona, Spain
| | - A Areny-Balagueró
- Critical Care Center, Parc Taulí Hospital Universitari, Institut d'Investigació i Innovació Parc Taulí (I3PT-CERCA), Universitat Autònoma de Barcelona, Sabadell, Spain
- Centro de Investigación Biomedica En Red de Enfermedades Respiratorias, Instituto de Salud Carlos III, Barcelona, Spain
| | - Sara Quero
- Critical Care Center, Parc Taulí Hospital Universitari, Institut d'Investigació i Innovació Parc Taulí (I3PT-CERCA), Universitat Autònoma de Barcelona, Sabadell, Spain
- Centro de Investigación Biomedica En Red de Enfermedades Respiratorias, Instituto de Salud Carlos III, Barcelona, Spain
| | - A Artigas
- Critical Care Center, Parc Taulí Hospital Universitari, Institut d'Investigació i Innovació Parc Taulí (I3PT-CERCA), Universitat Autònoma de Barcelona, Sabadell, Spain
- Centro de Investigación Biomedica En Red de Enfermedades Respiratorias, Instituto de Salud Carlos III, Barcelona, Spain
| | - Adrian Ceccato
- Critical Care Center, Parc Taulí Hospital Universitari, Institut d'Investigació i Innovació Parc Taulí (I3PT-CERCA), Universitat Autònoma de Barcelona, Sabadell, Spain
- Centro de Investigación Biomedica En Red de Enfermedades Respiratorias, Instituto de Salud Carlos III, Barcelona, Spain
- Intensive Care Unit, Hospital Universitari Sagrat Cor, Grupo Quironsalud, Barcelona, Spain
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Carr JR, Knox DB, Butler AM, Lum MM, Jacobs JR, Jephson AR, Jones BE, Brown SM, Dean NC. ICU Utilization After Implementation of Minor Severe Pneumonia Criteria in Real-Time Electronic Clinical Decision Support. Crit Care Med 2024; 52:e132-e141. [PMID: 38157205 PMCID: PMC10922756 DOI: 10.1097/ccm.0000000000006163] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2024]
Abstract
OBJECTIVES To determine if the implementation of automated clinical decision support (CDS) with embedded minor severe community-acquired pneumonia (sCAP) criteria was associated with improved ICU utilization among emergency department (ED) patients with pneumonia who did not require vasopressors or positive pressure ventilation at admission. DESIGN Planned secondary analysis of a stepped-wedge, cluster-controlled CDS implementation trial. SETTING Sixteen hospitals in six geographic clusters from Intermountain Health; a large, integrated, nonprofit health system in Utah and Idaho. PATIENTS Adults admitted to the hospital from the ED with pneumonia identified by: 1) discharge International Classification of Diseases , 10th Revision codes for pneumonia or sepsis/respiratory failure and 2) ED chest imaging consistent with pneumonia, who did not require vasopressors or positive pressure ventilation at admission. INTERVENTIONS After implementation, patients were exposed to automated, open-loop, comprehensive CDS that aided disposition decision (ward vs. ICU), based on objective severity scores (sCAP). MEASUREMENTS AND MAIN RESULTS The analysis included 2747 patients, 1814 before and 933 after implementation. The median age was 71, median Elixhauser index was 17, 48% were female, and 95% were Caucasian. A mixed-effects regression model with cluster as the random effect estimated that implementation of CDS utilizing sCAP increased 30-day ICU-free days by 1.04 days (95% CI, 0.48-1.59; p < 0.001). Among secondary outcomes, the odds of being admitted to the ward, transferring to the ICU within 72 hours, and receiving a critical therapy decreased by 57% (odds ratio [OR], 0.43; 95% CI, 0.26-0.68; p < 0.001) post-implementation; mortality within 72 hours of admission was unchanged (OR, 1.08; 95% CI, 0.56-2.01; p = 0.82) while 30-day all-cause mortality was lower post-implementation (OR, 0.71; 95% CI, 0.52-0.96; p = 0.03). CONCLUSIONS Implementation of electronic CDS using minor sCAP criteria to guide disposition of patients with pneumonia from the ED was associated with safe reduction in ICU utilization.
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Affiliation(s)
- Jason R Carr
- Department of Pulmonary and Critical Care Medicine, Intermountain Medical Center, Murray, UT
- Division of Respiratory, Critical Care and Occupational Pulmonary Medicine, University of Utah School of Medicine, Salt Lake City, UT
| | - Daniel B Knox
- Department of Pulmonary and Critical Care Medicine, Intermountain Medical Center, Murray, UT
| | - Allison M Butler
- Intermountain Healthcare Statistical Data Center, Salt Lake City, UT
| | | | - Jason R Jacobs
- Intermountain Healthcare, Enterprise Data Analytics, Salt Lake City, UT
| | - Al R Jephson
- Intermountain Healthcare, Enterprise Data Analytics, Salt Lake City, UT
| | - Barbara E Jones
- Division of Respiratory, Critical Care and Occupational Pulmonary Medicine, University of Utah School of Medicine, Salt Lake City, UT
- Salt Lake City Veterans Affairs Medical Center, Salt Lake City, UT
| | - Samuel M Brown
- Department of Pulmonary and Critical Care Medicine, Intermountain Medical Center, Murray, UT
- Division of Respiratory, Critical Care and Occupational Pulmonary Medicine, University of Utah School of Medicine, Salt Lake City, UT
| | - Nathan C Dean
- Department of Pulmonary and Critical Care Medicine, Intermountain Medical Center, Murray, UT
- Division of Respiratory, Critical Care and Occupational Pulmonary Medicine, University of Utah School of Medicine, Salt Lake City, UT
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Hart JH, Sakata T, Eve JR, Butler AM, Wallin A, Carman C, Atwood B, Srivastava R, Jones BE, Stenehjem EA, Dean NC. Diagnosis and Treatment of Pneumonia in Urgent Care Clinics: Opportunities for Improving Care. Open Forum Infect Dis 2024; 11:ofae096. [PMID: 38456194 PMCID: PMC10919392 DOI: 10.1093/ofid/ofae096] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Accepted: 02/19/2024] [Indexed: 03/09/2024] Open
Abstract
Background Community-acquired pneumonia is a well-studied condition; yet, in the urgent care setting, patient characteristics and adherence to guideline-recommended care are poorly described. Within Intermountain Health, a nonprofit integrated US health care system based in Utah, more patients present to urgent care clinics (UCCs) than emergency departments (EDs) for pneumonia care. Methods We performed a retrospective cohort study 1 January 2019 through 31 December 2020 in 28 UCCs within Utah. We extracted electronic health record data for patients aged ≥12 years with ICD-10 pneumonia diagnoses entered by the bedside clinician, excluding patients with preceding pneumonia within 30 days or missing vital signs. We compared UCC patients with radiographic pneumonia (n = 4689), without radiographic pneumonia (n = 1053), without chest imaging (n = 1472), and matched controls with acute cough/bronchitis (n = 15 972). Additional outcomes were 30-day mortality and the proportion of patients with ED visits or hospital admission within 7 days after the index encounter. Results UCC patients diagnosed with pneumonia and possible/likely radiographic pneumonia by radiologist report had a mean age of 40 years and 52% were female. Almost all patients with pneumonia (93%) were treated with antibiotics, including those without radiographic confirmation. Hospital admissions and ED visits within 7 days were more common in patients with radiographic pneumonia vs patients with "unlikely" radiographs (6% vs 2% and 10% vs 6%, respectively). Observed 30-day all-cause mortality was low (0.26%). Patients diagnosed without chest imaging presented similarly to matched patients with cough/acute bronchitis. Most patients admitted to the hospital the same day after the UCC visit (84%) had an interim ED encounter. Pneumonia severity scores (pneumonia severity index, electronic CURB-65, and shock index) overestimated patient need for hospitalization. Conclusions Most UCC patients with pneumonia were successfully treated as outpatients. Opportunities to improve care include clinical decision support for diagnosing pneumonia with radiographic confirmation and development of pneumonia severity scores tailored to the UCC.
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Affiliation(s)
- James H Hart
- Intermountain Healthcare, Intermountain Instacare, Salt Lake City, Utah, USA
| | - Theadora Sakata
- Intermountain Healthcare, Intermountain Instacare, Salt Lake City, Utah, USA
- Healthcare Delivery Institute, Intermountain Health, Murray, Utah, USA
| | - Jacqueline R Eve
- Enterprise Analytics, Intermountain Healthcare, Salt Lake City, Utah, USA
| | - Allison M Butler
- Office of Research, Intermountain Medical Center, Murray, Utah, USA
| | - Anthony Wallin
- Intermountain Healthcare, Intermountain Instacare, Salt Lake City, Utah, USA
| | - Chad Carman
- Intermountain Healthcare, Intermountain Instacare, Salt Lake City, Utah, USA
| | - Brenda Atwood
- Intermountain Healthcare, Intermountain Instacare, Salt Lake City, Utah, USA
| | - Rajendu Srivastava
- Healthcare Delivery Institute, Intermountain Health, Murray, Utah, USA
- Division of Pediatric Hospital Medicine, Department of Pediatrics, School of Medicine, University of Utah, Salt Lake City, Utah, USA
| | - Barbara E Jones
- Division of Respiratory, Critical Care and Occupational Pulmonary Medicine, School of Medicine, University of Utah, Salt Lake City, Utah, USA
- Veterans Administration Salt Lake City Health Care System, Salt Lake City, Utah, USA
| | - Edward A Stenehjem
- Division of Infectious Disease, School of Medicine, University of Colorado, Aurora, Colorado, USA
| | - Nathan C Dean
- Division of Respiratory, Critical Care and Occupational Pulmonary Medicine, School of Medicine, University of Utah, Salt Lake City, Utah, USA
- Division of Pulmonary and Critical Care Medicine, Intermountain Medical Center, Murray, Utah, USA
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Advani SD, Claeys K. Behavioral Strategies in Diagnostic Stewardship. Infect Dis Clin North Am 2023; 37:729-747. [PMID: 37537001 DOI: 10.1016/j.idc.2023.06.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/05/2023]
Abstract
Diagnostic stewardship refers to the responsible and judicious use of diagnostic tests to reduce low value care and improve patient outcomes. This article provides an overview of behavioral strategies, their relevance to diagnostic stewardship and highlights behavioral determinants that drive diagnostic testing behavior, drawing on theoretic frameworks. Additionally, we provide concrete examples of evidence-based behavioral strategies for promoting appropriate diagnostic testing while acknowledging associated challenges. Finally, we highlight the significance of evaluating these strategies and provide an overview of evaluation frameworks and methods.
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Affiliation(s)
- Sonali D Advani
- Department of Internal Medicine-Infectious Diseases, Duke University School of Medicine, 315 Trent Drive, Hanes House, Suite 154, Durham, NC 27710, USA.
| | - Kimberly Claeys
- Department of Pharmacy Science and Health Outcomes Research, University of Maryland School of Pharmacy, Baltimore, MD, USA
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Wrenn JO, Christensen MA, Ward MJ. Limitations in the use of automated mental status detection for clinical decision support. Int J Med Inform 2023; 180:105247. [PMID: 37864949 DOI: 10.1016/j.ijmedinf.2023.105247] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Revised: 09/22/2023] [Accepted: 10/08/2023] [Indexed: 10/23/2023]
Abstract
BACKGROUND Clinical decision support (CDS) tools improve adherence to evidence-based practices but are dependent upon data quality in the electronic health record (EHR). Mental status is an integral component of many risk stratification scores, but it is not known whether EHR-measures of altered mental status are reliable. The Glasgow Coma Scale (GCS) is a measure of altered mentation that is widely adopted and entered in the EHR in structured format. We sought to determine the accuracy GCS < 15 as an EHR-measure of altered mentation compared to ED provider documentation. METHODS In patients presenting to an academic Emergency Department (ED) with pneumonia we abstracted GCS values entered by nurses during routine care and in a randomly selected subset manually reviewed provider documentation for evidence of altered mental status. We defined eConfusion as present if GCS < 15 at any point during the ED encounter. We then calculated the CURB-65 score and corresponding suggested disposition using each method. Performance of eConfusion and corresponding CURB-65 compared to manual versions was measured using agreement (Cohen's K), sensitivity, and specificity. RESULTS Among 300 randomly selected encounters, 47 (16 %) had eConfusion present and 46 (15 %) had evidence of altered mental status in provider documentation with Cohen's K 0.73. eConfusion had 78 % sensitivity and 96 % specificity for provider documented altered mental status. When input into CURB-65 to recommend inpatient disposition, eConfusion had 95 % sensitivity, and recommended discordant disposition for 3 %. CONCLUSIONS There was modest agreement between eConfusion and provider documentation of altered mental status. eConfusion had good specificity but low sensitivity which resulted in under-estimation of the CURB-65 score and occasional inappropriate disposition recommendations compared to provider documentation. These data do not support the use of GCS as a measure for altered mentation for use in CDS tools in the ED.
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Affiliation(s)
- Jesse O Wrenn
- Department of Emergency Medicine, Vanderbilt University Medical Center, Nashville, TN, United States; Division of Emergency Medicine, Tennessee Valley Healthcare System VA, Nashville, TN, United States.
| | - Matthew A Christensen
- Division of Allergy, Pulmonary, & Critical Care Medicine, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Michael J Ward
- Department of Emergency Medicine, Vanderbilt University Medical Center, Nashville, TN, United States; Division of Emergency Medicine, Tennessee Valley Healthcare System VA, Nashville, TN, United States; Geriatric Research Education and Clinical Care Center, Tennessee Valley Healthcare System VA, Nashville, TN, United States
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7
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Carrigan A, Roberts N, Han J, John R, Khan U, Sultani A, Austin EE. The Digital Hospital: A Scoping Review of How Technology Is Transforming Cardiopulmonary Care. Heart Lung Circ 2023; 32:1057-1068. [PMID: 37532601 DOI: 10.1016/j.hlc.2023.06.725] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2022] [Revised: 06/15/2023] [Accepted: 06/19/2023] [Indexed: 08/04/2023]
Abstract
BACKGROUND Innovative models of health care that involve advanced technology in the form of a digital hospital are emerging globally. Models include technology such as machine learning and smart wearables, that can be used to integrate patient data and improve continuity of care. This model may have benefits in situations where patient deterioration must be detected quickly so that a rapid response can occur such as cardiopulmonary settings. AIM The purpose of this scoping review was to examine the evidence for a digital hospital model of care, in the context of cardiac and pulmonary settings. DESIGN Scoping review. DATA SOURCES Databases searched were using PsycInfo, Ovid MEDLINE, and CINAHL. Studies written in English and containing key terms related to digital hospital and cardiopulmonary care were included. The Joanna Briggs Institute methodology for systematic reviews was used to assess the risk of bias. RESULTS Thirteen (13) studies fulfilled the inclusion criteria. For cardiac conditions, a deep-learning-based rapid response system warning system for predicting patient deterioration leading to cardiac arrest had up to 257% higher sensitivity than conventional methods. There was also a reduction in the number of patients who needed to be examined by a physician. Using continuous telemonitoring with a wireless real-time electrocardiogram compared with non-monitoring, there was improved initial resuscitation and 24-hour post-event survival for high-risk patients. However, there were no benefits for survival to discharge. For pulmonary conditions, a natural language processing algorithm reduced the time to asthma diagnosis, demonstrating high predictive values. Virtual inhaler education was found to be as effective as in-person education, and prescription error was reduced following the implementation of computer-based physician order entry electronic medical records and a clinical decision support tool. CONCLUSIONS While we currently have only a brief glimpse at the impact of technology care delivery for cardiac and respiratory conditions, technology presents an opportunity to improve quality and safety in care, but only with the support of adequate infrastructure and processes. PROTOCOL REGISTRATION Open Science Framework (OSF: DOI 10.17605/OSF.IO/PS6ZU).
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Affiliation(s)
- Ann Carrigan
- Australian Institute of Health Innovation, Centre for Healthcare Resilience and Implementation Science, Macquarie University, Sydney, NSW, Australia; Centre for Elite Performance, Expertise & Training, Macquarie University, Sydney, NSW, Australia.
| | - Natalie Roberts
- Australian Institute of Health Innovation, Centre for Healthcare Resilience and Implementation Science, Macquarie University, Sydney, NSW, Australia
| | - Jiwon Han
- Australian Institute of Health Innovation, Centre for Healthcare Resilience and Implementation Science, Macquarie University, Sydney, NSW, Australia
| | - Ruby John
- Australian Institute of Health Innovation, Centre for Healthcare Resilience and Implementation Science, Macquarie University, Sydney, NSW, Australia
| | - Umar Khan
- Australian Institute of Health Innovation, Centre for Healthcare Resilience and Implementation Science, Macquarie University, Sydney, NSW, Australia
| | - Ali Sultani
- Australian Institute of Health Innovation, Centre for Healthcare Resilience and Implementation Science, Macquarie University, Sydney, NSW, Australia
| | - Elizabeth E Austin
- Australian Institute of Health Innovation, Centre for Healthcare Resilience and Implementation Science, Macquarie University, Sydney, NSW, Australia. http://www.twitter.com/DrLilAustin
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Williams DJ, Martin JM, Nian H, Weitkamp AO, Slagle J, Turer RW, Suresh S, Johnson J, Stassun J, Just SL, Reale C, Beebe R, Arnold DH, Antoon JW, Rixe NS, Sartori LF, Freundlich RE, Ampofo K, Pavia AT, Smith JC, Weinger MB, Zhu Y, Grijalva CG. Antibiotic clinical decision support for pneumonia in the ED: A randomized trial. J Hosp Med 2023; 18:491-501. [PMID: 37042682 PMCID: PMC10247532 DOI: 10.1002/jhm.13101] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Revised: 03/06/2023] [Accepted: 03/23/2023] [Indexed: 04/13/2023]
Abstract
BACKGROUND Electronic health record-based clinical decision support (CDS) is a promising antibiotic stewardship strategy. Few studies have evaluated the effectiveness of antibiotic CDS in the pediatric emergency department (ED). OBJECTIVE To compare the effectiveness of antibiotic CDS vs. usual care for promoting guideline-concordant antibiotic prescribing for pneumonia in the pediatric ED. DESIGN Pragmatic randomized clinical trial. SETTING AND PARTICIPANTS Encounters for children (6 months-18 years) with pneumonia presenting to two tertiary care children s hospital EDs in the United States. INTERVENTION CDS or usual care was randomly assigned during 4-week periods within each site. The CDS intervention provided antibiotic recommendations tailored to each encounter and in accordance with national guidelines. MAIN OUTCOME AND MEASURES The primary outcome was exclusive guideline-concordant antibiotic prescribing within the first 24 h of care. Safety outcomes included time to first antibiotic order, encounter length of stay, delayed intensive care, and 3- and 7-day revisits. RESULTS 1027 encounters were included, encompassing 478 randomized to usual care and 549 to CDS. Exclusive guideline-concordant prescribing did not differ at 24 h (CDS, 51.7% vs. usual care, 53.3%; odds ratio [OR] 0.94 [95% confidence interval [CI]: 0.73, 1.20]). In pre-specified stratified analyses, CDS was associated with guideline-concordant prescribing among encounters discharged from the ED (74.9% vs. 66.0%; OR 1.53 [95% CI: 1.01, 2.33]), but not among hospitalized encounters. Mean time to first antibiotic was shorter in the CDS group (3.0 vs 3.4 h; p = .024). There were no differences in safety outcomes. CONCLUSIONS Effectiveness of ED-based antibiotic CDS was greatest among those discharged from the ED. Longitudinal interventions designed to target both ED and inpatient clinicians and to address common implementation challenges may enhance the effectiveness of CDS as a stewardship tool.
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Affiliation(s)
- Derek J Williams
- Monroe Carell Jr. Children's Hospital at VUMC, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | - Judith M Martin
- UPMC Children's Hospital of Pittsburgh, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Hui Nian
- Monroe Carell Jr. Children's Hospital at VUMC, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | - Asli O Weitkamp
- Monroe Carell Jr. Children's Hospital at VUMC, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | - Jason Slagle
- Monroe Carell Jr. Children's Hospital at VUMC, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | | | - Srinivasan Suresh
- UPMC Children's Hospital of Pittsburgh, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Jakobi Johnson
- Monroe Carell Jr. Children's Hospital at VUMC, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | - Justine Stassun
- Monroe Carell Jr. Children's Hospital at VUMC, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | - Shari L Just
- Monroe Carell Jr. Children's Hospital at VUMC, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | - Carrie Reale
- Monroe Carell Jr. Children's Hospital at VUMC, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | - Russ Beebe
- Monroe Carell Jr. Children's Hospital at VUMC, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | - Donald H Arnold
- Monroe Carell Jr. Children's Hospital at VUMC, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | - James W Antoon
- Monroe Carell Jr. Children's Hospital at VUMC, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | - Nancy S Rixe
- UPMC Children's Hospital of Pittsburgh, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Laura F Sartori
- Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Robert E Freundlich
- Monroe Carell Jr. Children's Hospital at VUMC, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | - Krow Ampofo
- University of Utah and Primary Children's Hospital, Salt Lake City, Utah, USA
| | - Andrew T Pavia
- University of Utah and Primary Children's Hospital, Salt Lake City, Utah, USA
| | - Joshua C Smith
- Monroe Carell Jr. Children's Hospital at VUMC, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | - Matthew B Weinger
- Monroe Carell Jr. Children's Hospital at VUMC, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | - Yuwei Zhu
- Monroe Carell Jr. Children's Hospital at VUMC, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | - Carlos G Grijalva
- Monroe Carell Jr. Children's Hospital at VUMC, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
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9
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Pneumonie-Behandlung: Elektronische Entscheidungshilfe senkt Mortalitätsrate. Pneumologie 2023. [DOI: 10.1055/a-1947-4173] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
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10
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Sendak M, Vidal D, Trujillo S, Singh K, Liu X, Balu S. Editorial: Surfacing best practices for AI software development and integration in healthcare. Front Digit Health 2023; 5:1150875. [PMID: 36895323 PMCID: PMC9989472 DOI: 10.3389/fdgth.2023.1150875] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2023] [Accepted: 02/06/2023] [Indexed: 02/25/2023] Open
Affiliation(s)
- Mark Sendak
- Duke Institute for Health Innovation, Durham, NC, United States
| | | | | | - Karandeep Singh
- Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, United States
| | - Xiaoxuan Liu
- Academic Unit of Ophthalmology, Institute of Inflammation and Ageing, University of Birmingham, Birmingham, United Kingdom
| | - Suresh Balu
- Duke Institute for Health Innovation, Durham, NC, United States
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11
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Waterer G, Donaldson G. Can Electronic Decision Support Tools Really Reduce Mortality from Community-acquired Pneumonia? Am J Respir Crit Care Med 2022; 205:1267-1268. [PMID: 35320063 PMCID: PMC9873109 DOI: 10.1164/rccm.202202-0358ed] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023] Open
Affiliation(s)
- Grant Waterer
- University of Western AustraliaRoyal Perth HospitalPerth, Western Australia, Australia
| | - Gavin Donaldson
- National Heart and Lung InstituteImperial College LondonLondon, United Kingdom
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