Allison Bond MD, Sandra Oreper MPH, Priya Prasad PhD, Emily Abdoler MD, Sarah Doernberg MD, MAS
{"title":"通过多机构改良德尔菲调查为住院医生制定抗生素指标","authors":"Allison Bond MD, Sandra Oreper MPH, Priya Prasad PhD, Emily Abdoler MD, Sarah Doernberg MD, MAS","doi":"10.1002/jhm.13377","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Background</h3>\n \n <p>Closing the gap between evidence-supported antibiotic use and real-world prescribing among clinicians is vital for curbing excessive antibiotic use, which fosters antimicrobial resistance and exposes patients to antimicrobial side effects. Providing prescribing information via scorecard improves clinician adherence to quality metrics.</p>\n </section>\n \n <section>\n \n <h3> Objective</h3>\n \n <p>We aimed to delineate actionable, relevant antimicrobial prescribing metrics extractable from the electronic health record in an automated way.</p>\n </section>\n \n <section>\n \n <h3> Design</h3>\n \n <p>We used a modified Delphi consensus-building approach.</p>\n </section>\n \n <section>\n \n <h3> Settings and Participants</h3>\n \n <p>Our study entailed two iterations of an electronic survey disseminated to hospital medicine physicians at 10 academic medical centers nationwide.</p>\n </section>\n \n <section>\n \n <h3> Main Outcomes and Measures</h3>\n \n <p>Main outcomes comprised consensus metrics describing the quality of antibiotic prescribing to hospital medicine physicians.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>Twenty-eight participants from 10 United States institutions completed the first survey version containing 38 measures. Sixteen respondents completed the second survey, which contained 37 metrics. Sixteen metrics, which were modified based on qualitative survey feedback, met criteria for inclusion in the final scorecard. Metrics considered most relevant by hospitalists focused on the appropriate de-escalation of antimicrobial therapy, selection of guideline-concordant antibiotics, and appropriate duration of treatment for common infectious syndromes. Next steps involve prioritization and implementation of these metrics based on quality gaps at our institution, focus groups exploring impressions of clinicians who receive a scorecard, and analysis of antibiotic prescribing patterns before and after metric implementation. Other institutions may be able to implement metrics from this scorecard based on their own quality gaps to provide hospitalists with automated feedback related to antibiotic prescribing.</p>\n </section>\n </div>","PeriodicalId":15883,"journal":{"name":"Journal of hospital medicine","volume":"19 8","pages":"680-684"},"PeriodicalIF":2.4000,"publicationDate":"2024-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jhm.13377","citationCount":"0","resultStr":"{\"title\":\"Development of antibiotic metrics for hospitalists via multi-institutional modified Delphi survey\",\"authors\":\"Allison Bond MD, Sandra Oreper MPH, Priya Prasad PhD, Emily Abdoler MD, Sarah Doernberg MD, MAS\",\"doi\":\"10.1002/jhm.13377\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Background</h3>\\n \\n <p>Closing the gap between evidence-supported antibiotic use and real-world prescribing among clinicians is vital for curbing excessive antibiotic use, which fosters antimicrobial resistance and exposes patients to antimicrobial side effects. Providing prescribing information via scorecard improves clinician adherence to quality metrics.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Objective</h3>\\n \\n <p>We aimed to delineate actionable, relevant antimicrobial prescribing metrics extractable from the electronic health record in an automated way.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Design</h3>\\n \\n <p>We used a modified Delphi consensus-building approach.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Settings and Participants</h3>\\n \\n <p>Our study entailed two iterations of an electronic survey disseminated to hospital medicine physicians at 10 academic medical centers nationwide.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Main Outcomes and Measures</h3>\\n \\n <p>Main outcomes comprised consensus metrics describing the quality of antibiotic prescribing to hospital medicine physicians.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>Twenty-eight participants from 10 United States institutions completed the first survey version containing 38 measures. Sixteen respondents completed the second survey, which contained 37 metrics. Sixteen metrics, which were modified based on qualitative survey feedback, met criteria for inclusion in the final scorecard. Metrics considered most relevant by hospitalists focused on the appropriate de-escalation of antimicrobial therapy, selection of guideline-concordant antibiotics, and appropriate duration of treatment for common infectious syndromes. Next steps involve prioritization and implementation of these metrics based on quality gaps at our institution, focus groups exploring impressions of clinicians who receive a scorecard, and analysis of antibiotic prescribing patterns before and after metric implementation. Other institutions may be able to implement metrics from this scorecard based on their own quality gaps to provide hospitalists with automated feedback related to antibiotic prescribing.</p>\\n </section>\\n </div>\",\"PeriodicalId\":15883,\"journal\":{\"name\":\"Journal of hospital medicine\",\"volume\":\"19 8\",\"pages\":\"680-684\"},\"PeriodicalIF\":2.4000,\"publicationDate\":\"2024-05-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jhm.13377\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of hospital medicine\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/jhm.13377\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MEDICINE, GENERAL & INTERNAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of hospital medicine","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/jhm.13377","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MEDICINE, GENERAL & INTERNAL","Score":null,"Total":0}
Development of antibiotic metrics for hospitalists via multi-institutional modified Delphi survey
Background
Closing the gap between evidence-supported antibiotic use and real-world prescribing among clinicians is vital for curbing excessive antibiotic use, which fosters antimicrobial resistance and exposes patients to antimicrobial side effects. Providing prescribing information via scorecard improves clinician adherence to quality metrics.
Objective
We aimed to delineate actionable, relevant antimicrobial prescribing metrics extractable from the electronic health record in an automated way.
Design
We used a modified Delphi consensus-building approach.
Settings and Participants
Our study entailed two iterations of an electronic survey disseminated to hospital medicine physicians at 10 academic medical centers nationwide.
Main Outcomes and Measures
Main outcomes comprised consensus metrics describing the quality of antibiotic prescribing to hospital medicine physicians.
Results
Twenty-eight participants from 10 United States institutions completed the first survey version containing 38 measures. Sixteen respondents completed the second survey, which contained 37 metrics. Sixteen metrics, which were modified based on qualitative survey feedback, met criteria for inclusion in the final scorecard. Metrics considered most relevant by hospitalists focused on the appropriate de-escalation of antimicrobial therapy, selection of guideline-concordant antibiotics, and appropriate duration of treatment for common infectious syndromes. Next steps involve prioritization and implementation of these metrics based on quality gaps at our institution, focus groups exploring impressions of clinicians who receive a scorecard, and analysis of antibiotic prescribing patterns before and after metric implementation. Other institutions may be able to implement metrics from this scorecard based on their own quality gaps to provide hospitalists with automated feedback related to antibiotic prescribing.
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.