End Diagnostic Overshadowing

Part of paid clinical trials in Chicago, Illinois.

Sponsor
Rush University Medical Center
Study ID
NCT06608758
Status
Recruiting

Conditions

  • Disabilities Multiple

Eligibility Criteria

Sex
ALL
Age
3 Years - 89 Years
Healthy Volunteers
Accepted

Interventions

  • Electonic health record prompts with education — BEHAVIORAL
    1. . A baseline description of patients aged ≥ 3 to 89 years old with one or more of 26 diagnoses prone to error was developed to compare cases of patients with specific disabilities (major mobility impairments, severe mental health concerns, severe visual impairments, severe hearing loss, and IDD) versus cases of patients without the specific disabilities who have these diagnoses. 2. Initial manual chart reviews on PWDs with specific diagnoses of sepsis and metastatic breast cancer with two of the disability groups, patients with intellectual disabilities and/or autism and with severe mental illness were done. 3. We analyzed mammogram usage and factors related to usage among women ≥ 40 years old with IDD and with severe mental health issues 3\) We are working on algorithms to identify providers whose female patients age \> 40 years old to encourage outreach and to identify the patients needing mammograms for outreach. Developing educational materials for both providers and patients.
  • Standard of care — OTHER
    Patients without disabilities will receive standard care related to electronic health record prompts, alerts, and decision supports.

Study Details

The goal of this study is to address the critical issue of diagnostic overshadowing by applying the Collective Impact Model40 to co-produce our End Diagnostic Overshadowing program with academic, health systems, health professional, PWDs, family members, and community stakeholders. Through this work, we will identify and address mechanisms that contribute to diagnostic overshadowing and diagnostic errors among people with disabilities. The main questions to answer are whether knowledge about diagnostic errors and confidence will improve with health care providers and professionals involved in diagnostic provesses, whether developed algorithms to identify patients at risk of diagnpstic error will be used, whether there will be change in time to diagnostic evaluation for PWD from the specified 5 population groups and with the specified diagnoses prone to error, and whether changes in usage of CPT Evaluation and Management codes will occur.

Key Dates

First listed
Sep 23, 2024
Start date
Nov 22, 2024
Status verified
Jul 2026
Primary completion
Mar 31, 2029
Completion
Jul 31, 2029

Study Design

Enrollment
120,000 participants (estimated)

Arms

  • Arm: Patients with disabilities
    Cases with disabilities are patients aged 3 - 89 years old with one or more of 26 diagnoses prone to error and and have the following secondary (or primary) diagnoses (using associated ICD-10 codes) Mobility impairments: Spinal cord diseases, Spinal cord injuries, Injury to spinal cord nerves, Multiple sclerosis, Cerebral palsy, Dependence on enabling machines or devices, Need for caregiver related to mobility impairments Severe Vision impairments: Severe Hearing impairments: Mental health: Person history mental and behavioral disorders, Major Depression, Severe bipolar disorder, Severe schizophrenia, Paranoia, Psychosis Intellectual Disabilities: Autism
  • Arm: Patients without disabilities
    Patients without disabilities are patients age 3-89 with one or more of 26 diagnoses prone to error and without the following secondary (or primary) diagnoses: Mobility impairments: Spinal cord diseases, Spinal cord injuries, Injury to spinal cord nerves, Multiple sclerosis, Cerebral palsy, Dependence on enabling machines or devices, Need for caregiver related to mobility impairments Severe Vision impairments: Severe Hearing impairments: Mental health: Person history mental and behavioral disorders, Major Depression, Severe bipolar disorder, Severe schizophrenia, Paranoia, Psychosis Intellectual Disabilities: Autism

Primary Outcome Measure

Descriptive data on use of electronic record (EHR) decision supports and prompts/alerts [ Time Frame: 1.5, 2.5, and 3.5 years ]

Central Contacts

Locations (1)

FacilityCityStateZIPSite coordinators
Rush University Medical CenterChicagoIllinois60612
Sarah H Ailey, PhD RN
3129423383
Director Sponsored programs, CRA
312 942-3554

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