Systematic Development and Test-Retest Reliability of EISA (EISA)

Systematic Development and Test-Retest Reliability of Electronic Instrumental Activities of Daily Living Satisfaction Assessment (EISA)

The purpose of this proposed study, is the development and validation of EISA, a Self-report outcome measurement tool, for assessing the satisfaction of everyday functional needs, for consumers using Electronic Assistive Devices (EADs) as the primary means to complete Instrumental Activities of Daily Living (IADLs). The EISA outcome measure is proposed to be designed as a questionnaire that can be self or interview-administered to users of EADs. The development of EISA shall be modeled along the lines of development of the self-report outcome measure, Functional Mobility Assessment (FMA) (Kumar et al., 2013). The proposed tool EISA, would serve as a dynamic gage, for assessing perceived user function, related to using EADs for completing IADLs. The instrument is proposed to undergo systematic development in three phases. In phase 1, an initial pool of potential EISA items shall be generated, based on literature review data.

In phase 2, content experts (clinician and EADs user) review panels, shall assess the initial pool of potential EISA items for further content validity. The objective of phase 3, would be a validation of the first iteration of EISA, by establishing reliability for test-retest administration and internal consistency, at acceptable levels, by 25-100 EADs users. Statistical analysis for test-retest reliability and internal consistency estimation shall be carried out in phase 3 of the study, using Statistical Package for the Social Sciences (SPSS) version 24 software.

Study Overview

• Status: Completed
• Conditions: Sensory Disorder; Disabilities Physical

Detailed Description

Objective: The purpose of this proposed study, is the development and validation of EISA, a Self-report outcome measurement tool, for assessing satisfaction of everyday functional needs, for consumers using EADs as the primary means to complete IADLs. The EISA outcome measure is proposed to be designed as a questionnaire that can be self or interview administered to users of EADs. Development of EISA shall be modeled along the lines of development of the self-report outcome measure, FMA (Kumar et al., 2013). The proposed tool EISA would serve as a dynamic gauge, for assessing perceived user function, related to using EADs for completing IADLs.

Specific Aims:

The instrument is proposed to undergo systematic development in three phases. In Phase 1, an initial pool of potential EISA items shall be generated, based on literature review data.

In Phase 2, content experts (clinician and EADs user) review panels, shall assess the initial pool of potential EISA items for further content validity. The objective of phase 3, would be validation of the first iteration of EISA, by establishing reliability for test-retest administration and internal consistency, at acceptable levels, by 25-100 EADs users.

Statistical analysis for test-retest reliability and internal consistency estimation shall be carried out using Statistical Package for the Social Sciences (SPSS) version 24 software, in Phase 3 of the study.

Background: Briefly describe previous findings or observations that provide the background leading to this proposal. It cannot be stressed enough, that for both able-bodied individuals and PWD, having access to ICT, is no longer a luxury, but rather, a basic necessity, to cope with the current technology based lifestyle. Furthermore, having equal and timely access to IT for PWD is imperative to enable them to live independently and have a high Quality of Life. Moreover, this equal and timely access not only provides increased life options for PWD but also, wider economic benefits for the society at large. However, currently, several factors are impeding this equal and timely access to ICT for PWD. These factors include (1) lack of an outcome measure specifically designed and validated to assess the satisfaction of everyday functional needs related to EAD; (2) inappropriateness, impracticality, apart from lack of clinical utility and psychometric validation of existing outcome measures to assess the satisfaction of everyday functional needs of PWD, related to EADs; (3) continual and fast-paced, disruptive innovations very often rendering essential services inaccessible for PWD. Therefore, to fill this unmet need, as well as, to enable PWD to have equal opportunity with able-bodied individuals to tap their optimal potential, this study proposes the development and validation of a self-report outcome measure, EISA, specifically designed to assess satisfaction of everyday functional needs of PWD, related to EADs.

Significance: In this day and age of IT, it is crucial for PWD to have access to EAD that matches their individualized needs and enables them to achieve their optimal potential. Nevertheless, as can be gleaned from the aforementioned analysis, currently there is no good outcome tool for the assessment of user-satisfaction in performing functional needs with EADs.

• Study Type: Observational
• Enrollment (Actual): 84

Contacts and Locations

Study Locations

• United States
  • Pennsylvania
    • Pittsburgh, Pennsylvania, United States, 15206
      • University of Pittsburgh

Participation Criteria

Eligibility Criteria

• Ages Eligible for Study: 18 years and older (Adult, Older Adult)
• Accepts Healthy Volunteers: No
• Genders Eligible for Study: All

• Sampling Method: Non-Probability Sample

Study Population

The target population for the proposed EISA outcome measure would be Persons with Disabilities (PWD) who use EADs as their primary means for completing IADLs. Recruitment of EADs users shall be carried out in a targeted manner, through an invitation to participate in the study, by clinicians at (1) University of Pittsburgh Medical Center (UPMC) Center for Assistive Technology (CAT); (2) Hiram G. Andrews Center (HGAC) Center for Assistive and Rehabilitative Technology (CART); (3) The Ohio State University (OSU) Assistive Technology Clinic; and (4) the Veterans Administration Assistive Technology Labs.

Description

Inclusion Criteria:

1. Should be an existing user of EADs for at least 3 months
2. Must be 18 years of age or older
3. Should be capable of cognitively reading instructions and answering questions within the Qualtrics online research platform

Exclusion Criteria:

1. Unable to read English
2. Unable to independently answer or have assistance from someone to answer the survey questions

Study Plan

How is the study designed?

What is the study measuring?

Primary Outcome Measures

Outcome Measure	Measure Description	Time Frame
Electronic Instrumental activities of daily living Satisfaction Assessment (EISA)	The EISA is a self-report outcome measurement tool, for assessing satisfaction of everyday functional needs, for consumers using Electronic Assistive Devices (EADs) as the primary means to complete IADLs. The EISA outcome measure is proposed to be designed as a questionnaire that can be self or interview administered to users of EADs.	6 months

Other Outcome Measures

Outcome Measure	Measure Description	Time Frame
Demographic Questionnaires	This questionnaire is used to collect demographic information about the study cohort including age, experience using internet-connected EADs, level of education completed, if disabled, type of disability, etc.	Six Months

Collaborators and Investigators

• Sponsor: University of Pittsburgh
• Investigators: Study Director: Mark R Schmeler, PhD, University of Pittsburgh, School of Health and Rehabilitation Professionals

Publications and helpful links

General Publications

• Day H, Jutai J, Campbell KA. Development of a scale to measure the psychosocial impact of assistive devices: lessons learned and the road ahead. Disabil Rehabil. 2002 Jan 10-Feb 15;24(1-3):31-7. doi: 10.1080/09638280110066343.
• Demers L, Monette M, Descent M, Jutai J, Wolfson C. The Psychosocial Impact of Assistive Devices Scale (PIADS): translation and preliminary psychometric evaluation of a Canadian-French version. Qual Life Res. 2002 Sep;11(6):583-92. doi: 10.1023/a:1016397412708.
• Scherer M, Jutai J, Fuhrer M, Demers L, Deruyter F. A framework for modelling the selection of assistive technology devices (ATDs). Disabil Rehabil Assist Technol. 2007 Jan;2(1):1-8. doi: 10.1080/17483100600845414.
• Donnelly C, Carswell A. Individualized outcome measures: a review of the literature. Can J Occup Ther. 2002 Apr;69(2):84-94. doi: 10.1177/000841740206900204.
• Kumar A, Schmeler MR, Karmarkar AM, Collins DM, Cooper R, Cooper RA, Shin H, Holm MB. Test-retest reliability of the functional mobility assessment (FMA): a pilot study. Disabil Rehabil Assist Technol. 2013 May;8(3):213-9. doi: 10.3109/17483107.2012.688240. Epub 2012 May 22.
• Schmitter-Edgecombe M, Parsey C, Lamb R. Development and psychometric properties of the instrumental activities of daily living: compensation scale. Arch Clin Neuropsychol. 2014 Dec;29(8):776-92. doi: 10.1093/arclin/acu053. Epub 2014 Oct 25.

Study record dates

Study Major Dates

• Study Start (Actual): November 3, 2017
• Primary Completion (Actual): May 22, 2018
• Study Completion (Actual): November 1, 2018

Study Registration Dates

• First Submitted: March 10, 2021
• First Submitted That Met QC Criteria: March 10, 2021
• First Posted (Actual): March 15, 2021

Study Record Updates

• Last Update Posted (Actual): March 15, 2021
• Last Update Submitted That Met QC Criteria: March 10, 2021
• Last Verified: March 1, 2021

More Information

Terms related to this study

• Keywords: Activities of Daily Living; Assistive Technology; Outcome Assessment; Information & Communication Technology
• Additional Relevant MeSH Terms: Nervous System Diseases; Neurologic Manifestations; Sensation Disorders
• Other Study ID Numbers: PRO17030604

Plan for Individual participant data (IPD)

• Plan to Share Individual Participant Data (IPD)?: NO
• IPD Plan Description: The data will be uploaded by study participants to the Qualtrics Research Platform that is secure, encrypted and password protected. Only study personnel will have access to download unidentified data on excel sheets for data analysis.

Drug and device information, study documents

• Studies a U.S. FDA-regulated drug product: No
• Studies a U.S. FDA-regulated device product: No