Improving Safety of Diagnosis and Therapy in the Inpatient Setting (PSLL2-0)

July 21, 2022 updated by: Anuj K. Dalal, MD, Brigham and Women's Hospital

Patient Safety Learning Laboratory: Improving Safety of Diagnosis and Therapy in the Inpatient Setting

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 data analytics to thoroughly analyze the problem, design and develop potential solutions that leverage existing current technological infrastructure, and implement and evaluate the final interventions. The investigators will engage the interdisciplinary care team and patient (or their caregivers) to ensure treatment trajectories match the anticipated course for working diagnoses (or symptoms), and whether they are in line with patient and clinician expectations. The investigators will use an Interrupted time series (ITS) design to assess impact on diagnostic errors that lead to patient harm. The investigators will perform quantitative and qualitative evaluations using implementation science principles to understand if the interventions worked, and why or why not.

Study Overview

Detailed 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 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:

  1. 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.
  2. Design, develop, and iteratively refine intervention components using lessons learned from problem analysis and a participatory process that involves patients, clinicians, and institutional stakeholders.
  3. 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.

Study Type

Interventional

Enrollment (Actual)

700

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • Massachusetts
      • Boston, Massachusetts, United States, 02120
        • Brigham and Women's Hospital

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Description

Inclusion Criteria:

  • Age 18 or older
  • Adult patients admitted to General Medicine Services at Brigham and Women's Hospital during the 21-months study data collection period
  • English speakers
  • Patients who were diagnosed with any of the following conditions and symptoms upon admission:
  • Abdominal pain
  • Altered mental status/ delirium / confusion
  • Asthma / chronic obstructive pulmonary disease (COPD)
  • Cellulitis / soft tissue infection
  • Chest pain
  • Cough
  • Deep vein thrombosis / pulmonary embolism / venous thromboembolism
  • Dyspnea / short of breath
  • Failure to thrive
  • Pneumonia
  • Protein-calorie malnutrition
  • Sepsis
  • Other conditions typical of general medicine patients

Exclusion Criteria:

  • Not pregnant women, prisoners and institutionalized individuals

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Prevention
  • Allocation: Non-Randomized
  • Interventional Model: Factorial Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Active Comparator: Control group
Patients do not have access to the Patient Dx Questionnaire.
A Diagnostic Uncertainty Educational Curriculum will consist of an interactive, one-hour "teach-the-teacher" workshop delivered to resident-attending pairs early on during their inpatient medicine rotation. During the workshop, we will discuss the motivation behind teaching diagnostic uncertainty, review factors that may predict risk of diagnostic error during hospitalization, introduce the framework. Each resident-attending pair will work through a case-based exercise focused on managing learners' diagnostic uncertainty during rounds. Our research team will also conduct Training for clinical staff working on intervention units and will provide "at-the-elbow" support during the intervention period of the main trial.
A "Diagnostic Timeout" is a structured "pocket guide" that clinicians may use to address uncertainty in a step-wise approach for patients who have risk factors for diagnostic error. This tool can be used during or after clinical rounds, inside or outside of a patient's room if the patient is agreeable. The "Diagnostic Timeout" will be introduced as part of the Diagnostic Uncertainty Educational Curriculum as well as Training.
Epic-integrated Quality and Safety Dashboard, currently in operational use at BWH, will be enhanced to include a new diagnostic safety column. Clinical staff will receive Training and "at-the-elbow" support by the research team upon implementation.
Active Comparator: Patient Dx Questionnaire User group
Patient enrollees will be randomized to receive the Patient Dx Questionnaire administered by the research staff at the bedside.
A Diagnostic Uncertainty Educational Curriculum will consist of an interactive, one-hour "teach-the-teacher" workshop delivered to resident-attending pairs early on during their inpatient medicine rotation. During the workshop, we will discuss the motivation behind teaching diagnostic uncertainty, review factors that may predict risk of diagnostic error during hospitalization, introduce the framework. Each resident-attending pair will work through a case-based exercise focused on managing learners' diagnostic uncertainty during rounds. Our research team will also conduct Training for clinical staff working on intervention units and will provide "at-the-elbow" support during the intervention period of the main trial.
A "Diagnostic Timeout" is a structured "pocket guide" that clinicians may use to address uncertainty in a step-wise approach for patients who have risk factors for diagnostic error. This tool can be used during or after clinical rounds, inside or outside of a patient's room if the patient is agreeable. The "Diagnostic Timeout" will be introduced as part of the Diagnostic Uncertainty Educational Curriculum as well as Training.
Epic-integrated Quality and Safety Dashboard, currently in operational use at BWH, will be enhanced to include a new diagnostic safety column. Clinical staff will receive Training and "at-the-elbow" support by the research team upon implementation.
We will administer a survey, the Dx Questionnaire, to patients which asks a series of questions on communication regarding diagnosis with the care team. Patients admitted to inpatient units within the prior 24 hours will be approached after asking the patient's nurse to determine whether it is the appropriate time to approach for enrollment. Upon explaining the objectives of the survey and obtaining verbal informed consent, patients will be asked to complete the Dx Questionnaire via REDCap on an iPad. Alternatively, the research assistant administering the survey will go through the Dx Questionnaire with the patient and record their answers in REDCap on their behalf. If patients' answers indicate a gap in communication (i.e., an answer of "No" on a question), the Research Assistant will ask for permission to follow-up within the next few days and will relay the gap in communication to the patients' care team (i.e., nurse).

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Diagnostic error
Time Frame: 30 days (at most) from admission to the hospital

Data Source: Chart audit

Analytic Variables:

  • % patients with diagnostic error
  • % patients with diagnostic error with actual or potential AE (i.e., harmful DE)
  • % patients with diagnostic error with actual or potential AE that was severe (i.e., harmful and severe DE)
  • % patients with diagnostic error with actual or potential AE that was preventable (i.e., harmful, severe, and preventable DE)
30 days (at most) from admission to the hospital
"Safe diagnosis"
Time Frame: 30 days (at most) from admission to the hospital

Data Source: Chart audit

Analytic variables:

• % patients with correct diagnosis or therapy established within 24 hours of admission

30 days (at most) from admission to the hospital

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Healthcare resource utilization
Time Frame: 30 days after discharge from the hospital

Data Source: EDW (enterprise data warehouse)

Analytic variables:

• % patients with ≥ 1 unscheduled ED visit or readmission

30 days after discharge from the hospital
Patient satisfaction
Time Frame: 30 days after discharge from the hospital
HCAPHS (the Hospital Consumer Assessment of Healthcare Providers and Systems)patient satisfaction survey: The survey is composed of 27 items: 18 substantive items that encompass critical aspects of the hospital experience (communication with doctors, communication with nurses, responsiveness of hospital staff, cleanliness of the hospital environment, quietness of the hospital environment, pain management, communication about medicines, discharge information, overall rating of hospital, and recommendation of hospital).
30 days after discharge from the hospital

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

July 1, 2019

Primary Completion (Actual)

September 30, 2021

Study Completion (Actual)

December 30, 2021

Study Registration Dates

First Submitted

May 10, 2020

First Submitted That Met QC Criteria

May 18, 2020

First Posted (Actual)

May 19, 2020

Study Record Updates

Last Update Posted (Actual)

July 26, 2022

Last Update Submitted That Met QC Criteria

July 21, 2022

Last Verified

July 1, 2022

More Information

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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