Pragmatic trial evaluating the impact of simulation training on high-risk prescribing to older adults by junior physicians

High-risk medications like benzodiazepines, sedative hypnotics, and antipsychotics are commonly prescribed for hospitalized older adults, despite guidelines recommending avoidance. Prior interventions have not fully addressed how physicians make such prescribing decisions, particularly when experien...

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Veröffentlicht in:Journal of the American Geriatrics Society (JAGS) 2024-05, Vol.72 (5), p.1420-1430
Hauptverfasser: Lauffenburger, Julie C, DiFrancesco, Matthew F, Bhatkhande, Gauri, Crum, Katherine L, Kim, Erin, Robertson, Ted, Oran, Rebecca, Hanken, Kaitlin E, Haff, Nancy, Coll, Maxwell D, Avorn, Jerry, Choudhry, Niteesh K
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container_end_page 1430
container_issue 5
container_start_page 1420
container_title Journal of the American Geriatrics Society (JAGS)
container_volume 72
creator Lauffenburger, Julie C
DiFrancesco, Matthew F
Bhatkhande, Gauri
Crum, Katherine L
Kim, Erin
Robertson, Ted
Oran, Rebecca
Hanken, Kaitlin E
Haff, Nancy
Coll, Maxwell D
Avorn, Jerry
Choudhry, Niteesh K
description High-risk medications like benzodiazepines, sedative hypnotics, and antipsychotics are commonly prescribed for hospitalized older adults, despite guidelines recommending avoidance. Prior interventions have not fully addressed how physicians make such prescribing decisions, particularly when experiencing stress or cognitive overload. Simulation training may help improve prescribing decision-making but has not been evaluated for overprescribing. In this two-arm pragmatic trial, we randomized 40 first-year medical resident physicians (i.e., interns) on inpatient general medicine services at an academic medical center to either intervention (a 40-minute immersive simulation training) or control (online educational training) groups. The primary outcome was the number of new benzodiazepine, sedative hypnotic, or antipsychotic orders for treatment-naïve older adults during hospitalization. Secondary outcomes included the same outcome by all providers, being discharged on one of the medications, and orders for related or control medications. Outcomes were measured using electronic health record data over each intern's service period (~2 weeks). Outcomes were evaluated using generalized estimating equations, adjusting for clustering. In total, 522 treatment-naïve older adult patients were included in analyses. Over follow-up, interns prescribed ≥1 high-risk medication for 13 (4.9%) intervention patients and 13 (5.0%) control patients. The intervention led to no difference in the number of new prescriptions (Rate Ratio [RR]: 0.85, 95%CI: 0.31-2.35) versus control and no difference in secondary outcomes. In secondary analyses, intervention interns wrote significantly fewer "as-needed" ("PRN") order types for the high-risk medications (RR: 0.29, 95%CI: 0.08-0.99), and instead tended to write more "one-time" orders than control interns, though this difference was not statistically significant (RR: 2.20, 95%CI: 0.60-7.99). Although this simulation intervention did not impact total high-risk prescribing for hospitalized older adults, it did influence how the interns prescribed, resulting in fewer PRN orders, suggesting possibly greater ownership of care. Future interventions should consider this insight and implementation lessons raised. Clinicaltrials.gov(NCT04668248).
doi_str_mv 10.1111/jgs.18862
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Prior interventions have not fully addressed how physicians make such prescribing decisions, particularly when experiencing stress or cognitive overload. Simulation training may help improve prescribing decision-making but has not been evaluated for overprescribing. In this two-arm pragmatic trial, we randomized 40 first-year medical resident physicians (i.e., interns) on inpatient general medicine services at an academic medical center to either intervention (a 40-minute immersive simulation training) or control (online educational training) groups. The primary outcome was the number of new benzodiazepine, sedative hypnotic, or antipsychotic orders for treatment-naïve older adults during hospitalization. Secondary outcomes included the same outcome by all providers, being discharged on one of the medications, and orders for related or control medications. Outcomes were measured using electronic health record data over each intern's service period (~2 weeks). 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Although this simulation intervention did not impact total high-risk prescribing for hospitalized older adults, it did influence how the interns prescribed, resulting in fewer PRN orders, suggesting possibly greater ownership of care. Future interventions should consider this insight and implementation lessons raised. 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Prior interventions have not fully addressed how physicians make such prescribing decisions, particularly when experiencing stress or cognitive overload. Simulation training may help improve prescribing decision-making but has not been evaluated for overprescribing. In this two-arm pragmatic trial, we randomized 40 first-year medical resident physicians (i.e., interns) on inpatient general medicine services at an academic medical center to either intervention (a 40-minute immersive simulation training) or control (online educational training) groups. The primary outcome was the number of new benzodiazepine, sedative hypnotic, or antipsychotic orders for treatment-naïve older adults during hospitalization. Secondary outcomes included the same outcome by all providers, being discharged on one of the medications, and orders for related or control medications. Outcomes were measured using electronic health record data over each intern's service period (~2 weeks). Outcomes were evaluated using generalized estimating equations, adjusting for clustering. In total, 522 treatment-naïve older adult patients were included in analyses. Over follow-up, interns prescribed ≥1 high-risk medication for 13 (4.9%) intervention patients and 13 (5.0%) control patients. The intervention led to no difference in the number of new prescriptions (Rate Ratio [RR]: 0.85, 95%CI: 0.31-2.35) versus control and no difference in secondary outcomes. In secondary analyses, intervention interns wrote significantly fewer "as-needed" ("PRN") order types for the high-risk medications (RR: 0.29, 95%CI: 0.08-0.99), and instead tended to write more "one-time" orders than control interns, though this difference was not statistically significant (RR: 2.20, 95%CI: 0.60-7.99). Although this simulation intervention did not impact total high-risk prescribing for hospitalized older adults, it did influence how the interns prescribed, resulting in fewer PRN orders, suggesting possibly greater ownership of care. Future interventions should consider this insight and implementation lessons raised. Clinicaltrials.gov(NCT04668248).</abstract><cop>United States</cop><pub>Wiley Subscription Services, Inc</pub><pmid>38456561</pmid><doi>10.1111/jgs.18862</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0002-4940-4140</orcidid><orcidid>https://orcid.org/0000-0002-0074-0645</orcidid><orcidid>https://orcid.org/0000-0002-7597-2432</orcidid></addata></record>
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subjects Adult
Aged
Anesthesia
Antipsychotics
Benzodiazepines
Benzodiazepines - therapeutic use
Decision making
Drug Prescriptions - statistics & numerical data
Electronic medical records
Female
Hospitalization
Humans
Hypnotics
Hypnotics and Sedatives - therapeutic use
Inappropriate Prescribing - prevention & control
Internship and Residency - methods
Intervention
Male
Medical education
Medical Staff, Hospital - education
Older people
Patient safety
Patients
Physicians
Practice Patterns, Physicians
Prescriptions
Simulation
Simulation Training - methods
Statistical analysis
title Pragmatic trial evaluating the impact of simulation training on high-risk prescribing to older adults by junior physicians
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