Derek J. Williams MD, MPH, Hui Nian PhD, Srinivasan Suresh MD, MBA, Jason Slagle PhD, Stephen Gradwohl MD, MSACI, Jakobi Johnson BS, Justine Stassun MS, Carrie Reale RN, MSN, Shari L. Just RN, MSN, Nancy S. Rixe MD, Russ Beebe BA, Donald H. Arnold MD, MPH, Robert W. Turer MD, James W. Antoon MD, PhD, Laura F. Sartori MD, MPH, Robert E. Freundlich MD, MSCI, Carlos G. Grijalva MD, MPH, Joshua C. Smith PhD, Asli O. Weitkamp PhD, MSACI, Matthew B. Weinger MD, MS, Yuwei Zhu MD, MS, Judith M. Martin MD
{"title":"急诊科肺炎预后临床决策支持:随机试验。","authors":"Derek J. Williams MD, MPH, Hui Nian PhD, Srinivasan Suresh MD, MBA, Jason Slagle PhD, Stephen Gradwohl MD, MSACI, Jakobi Johnson BS, Justine Stassun MS, Carrie Reale RN, MSN, Shari L. Just RN, MSN, Nancy S. Rixe MD, Russ Beebe BA, Donald H. Arnold MD, MPH, Robert W. Turer MD, James W. Antoon MD, PhD, Laura F. Sartori MD, MPH, Robert E. Freundlich MD, MSCI, Carlos G. Grijalva MD, MPH, Joshua C. Smith PhD, Asli O. Weitkamp PhD, MSACI, Matthew B. Weinger MD, MS, Yuwei Zhu MD, MS, Judith M. Martin MD","doi":"10.1002/jhm.13391","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Background</h3>\n \n <p>Hospitalization rates for childhood pneumonia vary widely. Risk-based clinical decision support (CDS) interventions may reduce unwarranted variation.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>We conducted a pragmatic randomized trial in two US pediatric emergency departments (EDs) comparing electronic health record (EHR)-integrated prognostic CDS versus usual care for promoting appropriate ED disposition in children (<18 years) with pneumonia. Encounters were randomized 1:1 to usual care versus custom CDS featuring a validated pneumonia severity score predicting risk for severe in-hospital outcomes. Clinicians retained full decision-making authority. The primary outcome was inappropriate ED disposition, defined as early transition to lower- or higher-level care. Safety and implementation outcomes were also evaluated.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>The study enrolled 536 encounters (269 usual care and 267 CDS). Baseline characteristics were similar across arms. Inappropriate disposition occurred in 3% of usual care encounters and 2% of CDS encounters (adjusted odds ratio: 0.99, 95% confidence interval: [0.32, 2.95]). Length of stay was also similar and adverse safety outcomes were uncommon in both arms. The tool's custom user interface and content were viewed as strengths by surveyed clinicians (>70% satisfied). Implementation barriers include intrinsic (e.g., reaching the right person at the right time) and extrinsic factors (i.e., global pandemic).</p>\n </section>\n \n <section>\n \n <h3> Conclusions</h3>\n \n <p>EHR-based prognostic CDS did not improve ED disposition decisions for children with pneumonia. Although the intervention's content was favorably received, low subject accrual and workflow integration problems likely limited effectiveness. Clinical Trials Registration: NCT06033079.</p>\n </section>\n </div>","PeriodicalId":15883,"journal":{"name":"Journal of hospital medicine","volume":"19 9","pages":"802-811"},"PeriodicalIF":2.4000,"publicationDate":"2024-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Prognostic clinical decision support for pneumonia in the emergency department: A randomized trial\",\"authors\":\"Derek J. Williams MD, MPH, Hui Nian PhD, Srinivasan Suresh MD, MBA, Jason Slagle PhD, Stephen Gradwohl MD, MSACI, Jakobi Johnson BS, Justine Stassun MS, Carrie Reale RN, MSN, Shari L. Just RN, MSN, Nancy S. Rixe MD, Russ Beebe BA, Donald H. Arnold MD, MPH, Robert W. Turer MD, James W. Antoon MD, PhD, Laura F. Sartori MD, MPH, Robert E. Freundlich MD, MSCI, Carlos G. Grijalva MD, MPH, Joshua C. Smith PhD, Asli O. Weitkamp PhD, MSACI, Matthew B. Weinger MD, MS, Yuwei Zhu MD, MS, Judith M. Martin MD\",\"doi\":\"10.1002/jhm.13391\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Background</h3>\\n \\n <p>Hospitalization rates for childhood pneumonia vary widely. Risk-based clinical decision support (CDS) interventions may reduce unwarranted variation.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Methods</h3>\\n \\n <p>We conducted a pragmatic randomized trial in two US pediatric emergency departments (EDs) comparing electronic health record (EHR)-integrated prognostic CDS versus usual care for promoting appropriate ED disposition in children (<18 years) with pneumonia. Encounters were randomized 1:1 to usual care versus custom CDS featuring a validated pneumonia severity score predicting risk for severe in-hospital outcomes. Clinicians retained full decision-making authority. The primary outcome was inappropriate ED disposition, defined as early transition to lower- or higher-level care. Safety and implementation outcomes were also evaluated.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>The study enrolled 536 encounters (269 usual care and 267 CDS). Baseline characteristics were similar across arms. Inappropriate disposition occurred in 3% of usual care encounters and 2% of CDS encounters (adjusted odds ratio: 0.99, 95% confidence interval: [0.32, 2.95]). Length of stay was also similar and adverse safety outcomes were uncommon in both arms. The tool's custom user interface and content were viewed as strengths by surveyed clinicians (>70% satisfied). Implementation barriers include intrinsic (e.g., reaching the right person at the right time) and extrinsic factors (i.e., global pandemic).</p>\\n </section>\\n \\n <section>\\n \\n <h3> Conclusions</h3>\\n \\n <p>EHR-based prognostic CDS did not improve ED disposition decisions for children with pneumonia. Although the intervention's content was favorably received, low subject accrual and workflow integration problems likely limited effectiveness. 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Prognostic clinical decision support for pneumonia in the emergency department: A randomized trial
Background
Hospitalization rates for childhood pneumonia vary widely. Risk-based clinical decision support (CDS) interventions may reduce unwarranted variation.
Methods
We conducted a pragmatic randomized trial in two US pediatric emergency departments (EDs) comparing electronic health record (EHR)-integrated prognostic CDS versus usual care for promoting appropriate ED disposition in children (<18 years) with pneumonia. Encounters were randomized 1:1 to usual care versus custom CDS featuring a validated pneumonia severity score predicting risk for severe in-hospital outcomes. Clinicians retained full decision-making authority. The primary outcome was inappropriate ED disposition, defined as early transition to lower- or higher-level care. Safety and implementation outcomes were also evaluated.
Results
The study enrolled 536 encounters (269 usual care and 267 CDS). Baseline characteristics were similar across arms. Inappropriate disposition occurred in 3% of usual care encounters and 2% of CDS encounters (adjusted odds ratio: 0.99, 95% confidence interval: [0.32, 2.95]). Length of stay was also similar and adverse safety outcomes were uncommon in both arms. The tool's custom user interface and content were viewed as strengths by surveyed clinicians (>70% satisfied). Implementation barriers include intrinsic (e.g., reaching the right person at the right time) and extrinsic factors (i.e., global pandemic).
Conclusions
EHR-based prognostic CDS did not improve ED disposition decisions for children with pneumonia. Although the intervention's content was favorably received, low subject accrual and workflow integration problems likely limited effectiveness. Clinical Trials Registration: NCT06033079.
期刊介绍:
JHM is a peer-reviewed publication of the Society of Hospital Medicine and is published 12 times per year. JHM publishes manuscripts that address the care of hospitalized adults or children.
Broad areas of interest include (1) Treatments for common inpatient conditions; (2) Approaches to improving perioperative care; (3) Improving care for hospitalized patients with geriatric or pediatric vulnerabilities (such as mobility problems, or those with complex longitudinal care); (4) Evaluation of innovative healthcare delivery or educational models; (5) Approaches to improving the quality, safety, and value of healthcare across the acute- and postacute-continuum of care; and (6) Evaluation of policy and payment changes that affect hospital and postacute care.