Emergency Department (ED) Disability Diagnostic Tool

This study is currently recruiting participants.
Verified February 2013 by Yale University
Sponsor:
Collaborator:
Information provided by (Responsible Party):
Lori Post, Yale University
ClinicalTrials.gov Identifier:
NCT01416857
First received: August 11, 2011
Last updated: February 5, 2013
Last verified: February 2013

August 11, 2011
February 5, 2013
August 2011
May 2015   (final data collection date for primary outcome measure)
the presence/absence of at least one visit to the ED, hospital admission or death within 90 days of the initial ED visit. [ Time Frame: 90 days ] [ Designated as safety issue: No ]
Not Provided
Complete list of historical versions of study NCT01416857 on ClinicalTrials.gov Archive Site
Not Provided
Not Provided
Not Provided
Not Provided
 
Emergency Department (ED) Disability Diagnostic Tool
ED Disability Diagnostic Tool: a Health Information Technology Feasibility Study

Aim 1: To develop and validate an Emergency Department(ED) Rasch Disability Diagnostic Tool (RDDT).

Hypothesis:

  • Rasch modeling will provide an instrument with better measurement properties, including increased reliability and validity compared to currently available ED measure of disability (MOD).

Aim 2: To conduct a randomized controlled trial to evaluate the utility of the ED-RDDT to reduce rehospitalizations in Medicare recipients visiting an urban Emergency Department for non-traumatic illness

Hypotheses:

  • Compared to the standard screening tool, the ED RDDT will reduce reutilization of the hospital (ED visits, hospital admissions, or death) within 60 days of discharge.
  • The ED RDDT will reduce costs to Medicare, hospitals and patients.

Research Overview - The overarching aim of this study is to improve health outcomes for patients presenting to EDs by modifying and testing a disability diagnostic tool. The investigators expect a more accurate and precise tool will lead to better discharge plans and referrals for ED patients, reduce morbidity and mortality, and reduce unnecessary hospital visits and costs. The investigators will develop the core set of indicators with face (logical) validity from our research team of disability, emergency medicine, and geriatric medicine experts and practitioners. These experts will choose which pieces of information need to be included and group the selected pieces of information into content areas. Each content area will contain pieces of information that measure the same unidimensional concept. The investigators go through a series of Rasch analyses to establish which sets of information are in fact unidimensional and form usable scales. The investigators will test the validity of this preliminary version of the RDDT on existing hospital data by using it to predict health outcomes. Finally the investigators will consult the panel of experts to determine which information items, if any, are essential and missing from each content area. If there are such items they will be added to the RDDT. As described in the Preliminary Studies section, previous measures of disability were used for persons in long term care (LTC) and thus, need to be validated for use in the ED. The retrospective analysis will determine which indicators have superior measurement properties for use in the ED, plus, the retrospective analyses will link ED patient disability to health outcomes a necessary external validation step. A modified RDDT will be used in the prospective phase of the study. As lengthy diagnostic tools are neither feasible nor practical in the ED, Rasch scales are more useful in that subsets scale well and retain their measurement properties that remain accurate and precise. The investigators will conduct a randomized clinical trial (prospective phase) allocating patients into the study arm utilizing the RDDT (new tool) to compare with the control arm (standard care using MOD) to determine which measure is more accurate and precise as a measure of disability. There are both retrospective and prospective aspects to this multi-methodological interdisciplinary study.

Interventional
Not Provided
Allocation: Randomized
Endpoint Classification: Efficacy Study
Intervention Model: Parallel Assignment
Masking: Open Label
Primary Purpose: Diagnostic
Disability Diagnosis
Other: RDDT
  • No Intervention: MOD
    Group evaluated using the currently available ED measure of disability (MOD)
  • Experimental: RDDT
    Group will be evaluated using ED Rasch Disability Diagnostic Tool (RDDT)
    Intervention: Other: RDDT

*   Includes publications given by the data provider as well as publications identified by ClinicalTrials.gov Identifier (NCT Number) in Medline.
 
Recruiting
600
May 2015
May 2015   (final data collection date for primary outcome measure)

Inclusion Criteria:

  • Patients who present to the adult ED at the Yale New Haven Hospital (YNHH)
  • 65 years or older
  • Medicare recipients
  • Community dwellers.

Exclusion Criteria:

  • Patients and their guardians will be excluded for the following reasons:

    1. Non English speaking
    2. suffering from a condition that precludes interview i.e. communication impairment
    3. unable to provide two contact numbers for follow-up
    4. presenting with acute psychosis or are suicidal.
Both
65 Years and older
No
Contact: Christal M Esposito 203-737-3313 christal.esposito@yale.edu
Contact: Lori A Post, PhD 203-785-4363 lori.post@yale.edu
United States
 
NCT01416857
1004006652, 1R01 HS0184120-01A1
No
Lori Post, Yale University
Yale University
Agency for Healthcare Research and Quality (AHRQ)
Principal Investigator: Lori A Post, PhD Yale University School of Medicine, Emergency Medicine
Yale University
February 2013

ICMJE     Data element required by the International Committee of Medical Journal Editors and the World Health Organization ICTRP