Hospital Antibiotic Policies Improve Prescription Practices
|
By HospiMedica International staff writers Posted on 21 Feb 2017 |
An updated review of studies identifies effective guidelines and policies to reduce unnecessary use of antibiotics in hospitals.
Researchers at the University of Dundee, University College London, and other institutions searched the Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE, and Embase for studies examining the effectiveness and safety of interventions designed to improve antibiotic prescribing to hospital inpatients, and to investigate the effect of different intervention functions. In all, the researchers found 221 studies from the United States, Europe, Asia, South America, and Australia.
The researchers found that interventions broadly fell into two categories; 'restrictive' techniques applied rules to make physicians prescribe properly, whilst 'enabling' techniques provided advice or feedback to help physicians make more informed prescribing decisions. In both cases, the aim of the intervention was to increase the number of appropriate prescribing decisions so that patients who were unlikely to benefit from antibiotics did not get them, whilst they were still used for patients who stood to benefit from them.
The results showed that interventions that included enabling or restrictive techniques were consistently more effective than interventions that relied on simple education alone. Moreover, a synergistic effect existed, with enabling techniques increasing the effectiveness of restrictive techniques. In addition, the interventions shortened duration of antibiotic use from 11 to 9 days per patient, and reduced hospital stay from an average of 13 days to 12 per patient. The review was published on February 9, 2017, in The Cochrane Library.
“We do not need more studies to answer the question of whether these interventions reduce unnecessary antibiotic use, but we do need more research to understand why the most effective behavior change techniques are not more widely adopted within hospital settings,” concluded lead author Peter Davey, PhD, of the UD department of population health sciences. “Appropriate antibiotic use in hospitals should ensure effective treatment of patients with infection, and reduce unnecessary prescriptions.”
For the study, the researchers defined restriction as using rules to reduce the opportunity to engage in the target behavior, or increase the target behavior by reducing the opportunity to engage in competing behaviors. Enablement was defined as increasing the means and reducing the barriers in order to increase capability or opportunity.
Researchers at the University of Dundee, University College London, and other institutions searched the Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE, and Embase for studies examining the effectiveness and safety of interventions designed to improve antibiotic prescribing to hospital inpatients, and to investigate the effect of different intervention functions. In all, the researchers found 221 studies from the United States, Europe, Asia, South America, and Australia.
The researchers found that interventions broadly fell into two categories; 'restrictive' techniques applied rules to make physicians prescribe properly, whilst 'enabling' techniques provided advice or feedback to help physicians make more informed prescribing decisions. In both cases, the aim of the intervention was to increase the number of appropriate prescribing decisions so that patients who were unlikely to benefit from antibiotics did not get them, whilst they were still used for patients who stood to benefit from them.
The results showed that interventions that included enabling or restrictive techniques were consistently more effective than interventions that relied on simple education alone. Moreover, a synergistic effect existed, with enabling techniques increasing the effectiveness of restrictive techniques. In addition, the interventions shortened duration of antibiotic use from 11 to 9 days per patient, and reduced hospital stay from an average of 13 days to 12 per patient. The review was published on February 9, 2017, in The Cochrane Library.
“We do not need more studies to answer the question of whether these interventions reduce unnecessary antibiotic use, but we do need more research to understand why the most effective behavior change techniques are not more widely adopted within hospital settings,” concluded lead author Peter Davey, PhD, of the UD department of population health sciences. “Appropriate antibiotic use in hospitals should ensure effective treatment of patients with infection, and reduce unnecessary prescriptions.”
For the study, the researchers defined restriction as using rules to reduce the opportunity to engage in the target behavior, or increase the target behavior by reducing the opportunity to engage in competing behaviors. Enablement was defined as increasing the means and reducing the barriers in order to increase capability or opportunity.
Latest Hospital News News
- Nurse Tracking System Improves Hospital Workflow
- New Children’s Hospital Transforms California Healthcare
- Noisy Hospitals Face Threat of Decreased Federal Compensation
- Orthopedics Centre of Excellence Planned for Guy’s Hospital
- Research Suggests Avoidance of Low-Value Surgical Procedures
- U.S. Federal Readmission Fines Linked to Higher Mortality
- Columbia China to Build New Hospital in Jiaxing
- Dubai Debuts Second Robotic Pharmacy Service
- Seattle Hospital Network Shifts Away from Overlapping Surgeries
- ACC to Launch Valvular Heart Disease Program in China
- Mortality Rates Lower at Major Teaching Hospitals
- South Australia to Inaugurate Upscale Hospital
- Raffles to Launch Second Hospital Project in China
- Research Center Tackles Antimicrobial Drugs Challenge
- Miami Cardiac & Vascular Institute Completes Expansion Project
- USC Virtual Care Clinic to Employ Avatar Doctors
Channels
Artificial Intelligence
view channel
AI Model Uses Eye Imaging to Identify Risk of Major Systemic Diseases
Early detection of systemic disease risk remains a persistent challenge in population health screening. Cardiometabolic conditions such as diabetes, heart disease, and stroke often progress without symptoms... Read more
AI Platform Interprets Real-Time Wearable Data for Parkinson’s Management
Parkinson’s disease presents fluctuating motor and non-motor symptoms that complicate day-to-day self-management and clinical decision-making. Care teams require timely, longitudinal insight into medication... Read moreCritical Care
view channel
Magnetic Control System Enables Precise Navigation of Miniature Medical Devices
Oncology procedures require precise navigation and targeted delivery inside the body, yet current tools provide limited control in complex anatomy. Invasive surgery and systemic chemotherapy can injure... Read more
Noninvasive Skull Sensor Detects Early Deterioration in Acute Brain Injury
Critically ill patients with traumatic brain injury or stroke can suffer secondary brain damage even when standard intracranial pressure and blood pressure targets appear adequate. Such injury arises from... Read more
Bacteria-Resistant Urinary Catheter Coating Reduces Infections and Antibiotic Use
Catheter-associated urinary tract infections (CAUTIs) are a major hospital-acquired infection, responsible for about 75% of urinary tract infections acquired in hospitals. They increase morbidity and drive... Read moreSurgical Techniques
view channel
New AI Tool Predicts Complications Before Lung Cancer Surgery
Lung cancer remains a leading cause of cancer mortality, and many surgical candidates present with complex comorbidities. Postoperative complications are common, making accurate and individualized risk... Read more
First Automated Insulin Delivery System Cleared for Type 1 Diabetes in Pregnancy
Managing glycemia during pregnancy complicated by type 1 diabetes requires tight targets and sustained time in a pregnancy-specific glucose range. Clinicians and patients often rely on automated insulin... Read morePatient Care
view channel
Wearable Sleep Data Predict Adherence to Pulmonary Rehabilitation
Chronic obstructive pulmonary disease (COPD) is a long-term lung disorder that makes breathing difficult and often disturbs sleep, reducing energy for daily activities. Limited engagement in pulmonary... Read more
Revolutionary Automatic IV-Line Flushing Device to Enhance Infusion Care
More than 80% of in-hospital patients receive intravenous (IV) therapy. Every dose of IV medicine delivered in a small volume (<250 mL) infusion bag should be followed by subsequent flushing to ensure... Read moreHealth IT
view channel
AI System Detects and Quantifies Chronic Subdural Hematoma
Viz.ai (San Francisco, CA, USA) announced a strategic commercialization collaboration with Johnson & Johnson (New Brunswick, NJ, USA) to expand access in the United States to the Viz Subdural solution... Read more
Continuous Monitoring Platform Detects Infection Risk Across Care Transitions
Patients leaving skilled nursing facilities often lose continuous physiologic monitoring, increasing the risk of undetected infection and delayed intervention. Nursing home residents are seven times more... Read more
Automated System Classifies and Tracks Cardiogenic Shock Across Hospital Settings
Cardiogenic shock remains a difficult, time-sensitive emergency, with delayed identification driving poor outcomes and persistently high mortality. Many cases go undocumented even at advanced stages, hindering... Read morePoint of Care
view channelBusiness
view channel
Johnson & Johnson Launches AI-Driven Cardiac Mapping System
Johnson & Johnson has introduced the CARTOSOUND SONATA Module for the CARTO System at the Heart Rhythm Society (HRS) 2026 meeting in Chicago. The module uses artificial intelligence with the CARTO... Read more







