Ashley Collazo, Eva Amenta, Kiara Olmeda, Marissa Valentine-King, Lindsey Laytner, Azalia Mancera, Roger Zoorob, Michael K Paasche-Orlow, Richard L Street, Barbara W Trautner, Larissa Grigoryan
{"title":"评估无处方使用抗生素风险的筛选问题:一项诊断研究。","authors":"Ashley Collazo, Eva Amenta, Kiara Olmeda, Marissa Valentine-King, Lindsey Laytner, Azalia Mancera, Roger Zoorob, Michael K Paasche-Orlow, Richard L Street, Barbara W Trautner, Larissa Grigoryan","doi":"10.1186/s12875-025-02811-3","DOIUrl":null,"url":null,"abstract":"<p><strong>Objectives: </strong>Non-prescription antibiotic use (using antibiotics without medical advice) is potentially unsafe and promotes antimicrobial resistance. We studied predictors of prior non-prescription use and whether screening for prior non-prescription antibiotic use predicted intention of future non-prescription antibiotic use.</p><p><strong>Methods: </strong>The survey was performed from January 2020 - June 2021 in six public primary care clinics and two private emergency departments. Prior non-prescription users were respondents who reported taking oral antibiotics for symptoms without contacting a clinician. Intended use was defined by answering yes to the question, \"would you use antibiotics without contacting a doctor/nurse/dentist/clinic.\" We examined predictors for prior non-prescription use. We also calculated the sensitivity, specificity, and positive and negative predictive value (PPV, NPV) of (a) any prior non-prescription antibiotic use and (b) prior use in the past 12 months - for future intended non-prescription use.</p><p><strong>Results: </strong>Of 564 survey respondents, 246 (43.6%) reported non-prescription use; 91 (37.0%) of these respondents, 16.1% overall, reported doing so in the past 12 months. Approximately 63% of non-prescription antibiotic use was in those with a previous prescription of the same antibiotic for similar symptoms/illnesses. The screening characteristics of non-prescription use in the past 12 months to identify intention to use of antibiotics without a prescription in the future were: sensitivity 75.9% (95% CI: 65.3-84.6), specificity 91.4% (95% CI: 87.8-94.2), Bayes' PPV 74.5% (95% CI: 66.7-80.9), and Bayes' NPV 93.7% (95% CI: 90.5-96.1).</p><p><strong>Conclusions: </strong>This study proposed a method to screen for future use of non-prescription antibiotics, which may have implications on antimicrobial stewardship efforts in primary care settings.</p>","PeriodicalId":72428,"journal":{"name":"BMC primary care","volume":"26 1","pages":"111"},"PeriodicalIF":2.0000,"publicationDate":"2025-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11998457/pdf/","citationCount":"0","resultStr":"{\"title\":\"A screening question to assess risk of using antibiotics without a prescription: a diagnostic study.\",\"authors\":\"Ashley Collazo, Eva Amenta, Kiara Olmeda, Marissa Valentine-King, Lindsey Laytner, Azalia Mancera, Roger Zoorob, Michael K Paasche-Orlow, Richard L Street, Barbara W Trautner, Larissa Grigoryan\",\"doi\":\"10.1186/s12875-025-02811-3\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objectives: </strong>Non-prescription antibiotic use (using antibiotics without medical advice) is potentially unsafe and promotes antimicrobial resistance. We studied predictors of prior non-prescription use and whether screening for prior non-prescription antibiotic use predicted intention of future non-prescription antibiotic use.</p><p><strong>Methods: </strong>The survey was performed from January 2020 - June 2021 in six public primary care clinics and two private emergency departments. Prior non-prescription users were respondents who reported taking oral antibiotics for symptoms without contacting a clinician. Intended use was defined by answering yes to the question, \\\"would you use antibiotics without contacting a doctor/nurse/dentist/clinic.\\\" We examined predictors for prior non-prescription use. We also calculated the sensitivity, specificity, and positive and negative predictive value (PPV, NPV) of (a) any prior non-prescription antibiotic use and (b) prior use in the past 12 months - for future intended non-prescription use.</p><p><strong>Results: </strong>Of 564 survey respondents, 246 (43.6%) reported non-prescription use; 91 (37.0%) of these respondents, 16.1% overall, reported doing so in the past 12 months. Approximately 63% of non-prescription antibiotic use was in those with a previous prescription of the same antibiotic for similar symptoms/illnesses. The screening characteristics of non-prescription use in the past 12 months to identify intention to use of antibiotics without a prescription in the future were: sensitivity 75.9% (95% CI: 65.3-84.6), specificity 91.4% (95% CI: 87.8-94.2), Bayes' PPV 74.5% (95% CI: 66.7-80.9), and Bayes' NPV 93.7% (95% CI: 90.5-96.1).</p><p><strong>Conclusions: </strong>This study proposed a method to screen for future use of non-prescription antibiotics, which may have implications on antimicrobial stewardship efforts in primary care settings.</p>\",\"PeriodicalId\":72428,\"journal\":{\"name\":\"BMC primary care\",\"volume\":\"26 1\",\"pages\":\"111\"},\"PeriodicalIF\":2.0000,\"publicationDate\":\"2025-04-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11998457/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"BMC primary care\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1186/s12875-025-02811-3\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"MEDICINE, GENERAL & INTERNAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"BMC primary care","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1186/s12875-025-02811-3","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MEDICINE, GENERAL & INTERNAL","Score":null,"Total":0}
A screening question to assess risk of using antibiotics without a prescription: a diagnostic study.
Objectives: Non-prescription antibiotic use (using antibiotics without medical advice) is potentially unsafe and promotes antimicrobial resistance. We studied predictors of prior non-prescription use and whether screening for prior non-prescription antibiotic use predicted intention of future non-prescription antibiotic use.
Methods: The survey was performed from January 2020 - June 2021 in six public primary care clinics and two private emergency departments. Prior non-prescription users were respondents who reported taking oral antibiotics for symptoms without contacting a clinician. Intended use was defined by answering yes to the question, "would you use antibiotics without contacting a doctor/nurse/dentist/clinic." We examined predictors for prior non-prescription use. We also calculated the sensitivity, specificity, and positive and negative predictive value (PPV, NPV) of (a) any prior non-prescription antibiotic use and (b) prior use in the past 12 months - for future intended non-prescription use.
Results: Of 564 survey respondents, 246 (43.6%) reported non-prescription use; 91 (37.0%) of these respondents, 16.1% overall, reported doing so in the past 12 months. Approximately 63% of non-prescription antibiotic use was in those with a previous prescription of the same antibiotic for similar symptoms/illnesses. The screening characteristics of non-prescription use in the past 12 months to identify intention to use of antibiotics without a prescription in the future were: sensitivity 75.9% (95% CI: 65.3-84.6), specificity 91.4% (95% CI: 87.8-94.2), Bayes' PPV 74.5% (95% CI: 66.7-80.9), and Bayes' NPV 93.7% (95% CI: 90.5-96.1).
Conclusions: This study proposed a method to screen for future use of non-prescription antibiotics, which may have implications on antimicrobial stewardship efforts in primary care settings.