Improving Safety of Diagnosis and Therapy in the Inpatient Setting
Last updated on July 2021Recruitment
- Recruitment Status
- Recruiting
- Estimated Enrollment
- 1600
Summary
- Conditions
- Abdominal Pain
- Asthma
- Fever
- Back Pain
- Cellulitis
- Chest Pain
- Mental Status Change
- Pneumonia
- Confusion
- Electrolyte Metabolism Abnormal
- Venous Thromboembolism
- Leg Pain
- Failure to Thrive
- COPD
- Dyspnea
- Sepsis
- Vomiting
- Cough
- Hypoxia
- Syncope
- Headache
- Hip Pain Chronic
- Deep Vein Thrombosis
- Delirium
- Pulmonary Embolism
- Neck Pain
- Diarrhea
- Weakness
- Protein-Calorie Malnutrition
- Soft Tissue Infections
- Type
- Interventional
- Phase
- Not Applicable
- Design
- Allocation: RandomizedIntervention Model: Factorial AssignmentIntervention Model Description: We will conduct a pre-post interrupted time series design study in which we compare the relative effectiveness of the intervention over pre-post intervention for enrolled patients for our main outcomes.Masking: None (Open Label)Primary Purpose: Prevention
Participation Requirements
- Age
- Between 18 years and 125 years
- Gender
- Both males and females
Description
The goal of this study is to improve the safety of diagnosis and therapy for a set of conditions and undifferentiated symptoms for hospitalized patients. The investigators will employ a set of methods and tools from the disciplines of systems engineering, human factors, quality improvement, and impl...
The goal of this study is to improve the safety of diagnosis and therapy for a set of conditions and undifferentiated symptoms for hospitalized patients. The investigators will employ a set of methods and tools from the disciplines of systems engineering, human factors, quality improvement, and implementation science to thoroughly analyze the problem, design and develop potential solutions that leverage the current technological infrastructure, and implement and evaluate the final interventions. The aims of this study are to: Analyze the problem of diagnostic error over the acute episode of care, identifying system and cognitive factors for a set of morbid, costly common conditions and undifferentiated symptoms by using system engineering and human factors methods, as well as electronic health record and administrative data review. Design, develop, and iteratively refine intervention components using lessons learned from problem analysis and a participatory process that involves patients, clinicians, and institutional stakeholders. Implement an intervention for patient and clinician subjects on general medicine units. Using a pre-post, interrupted time series study design, the investigators will evaluate the effect of the intervention primarily on diagnostic and therapeutic errors. The investigators will use mixed methods to understand barriers and facilitators of implementation.
Tracking Information
- NCT #
- NCT04393909
- Collaborators
- Agency for Healthcare Research and Quality (AHRQ)
- Investigators
- Principal Investigator: Anuj K Dalal, MD Brigham and Women's Hospital Principal Investigator: David W Bates, MD, MSc Brigham and Women's Hospital
Get Well Soon