e-GAB: Electronic Geriatric Assessment Bundle: Development of an Arabic Self-administered Android CGA Application

NCT04211285 | Completed

• 1 other identifier: AinShamsUGer
• Study Type: observational
• Target: 82
• Locations: 1 country
• Sites: 1

Brief Summary

The aim of this study is to design and assess the accuracy of administering the electronic Geriatric Assessment Bundle (e-GAB) compared to geriatrician performed comprehensive geriatric assessment (CGA) in a group of Egyptian elderly. The development of an Arabic software platform for CGA can improve the clinical practice by providing a valid user friendly tool to collect and analyze data for geriatric patients attending non- Geriatric health care service.

Conditions

Health Services for the Aged; Frailty; Cognitive Impairment; Depression; Disability Physical; Urinary Incontinence; Malnutrition

Keywords

comprehensive geriatric assessment; telemedicine; multidisciplinary approach of elderly care; electronic geriatric assessment bundle

Outcome Measures

Primary Outcomes (1)

• the sensitivity and specificity of administering the electronic Geriatric Assessment Bundle (e-GAB)

  assess sensitivity and specificity of the e-GAB for detecting the aforementioned conditions (e.g. Frailty, Depression, sleep disturbance, malnutrition, cognitive decline etc.. )compared to standard CGA

  the geriatrician will perform standard CGA within 30 minutes of e-GAB completion

Study Arms (1)

community dwelling elderly

community dwelling elderly patients (60 years or older), can read and write, able to use the android software applications

Diagnostic Test: e-GAB; Diagnostic Test: standard physician performed CGA

Interventions

e-GAB DIAGNOSTIC_TEST

android application for comprehensive geriatric assessment

community dwelling elderly

standard physician performed CGA DIAGNOSTIC_TEST

CGA by an experienced geriatrician blinded to the result of e-GAB

community dwelling elderly

Eligibility Criteria

• Age: 60 Years - 90 Years
• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Adult (18-64), Older Adult (65+)
• Sampling Method: Non-Probability Sample

Study Population

50 elderly patients completed the bundle then underwent CGA by an experienced geriatrician blinded to the result of e-GAB

You may qualify if:

• years or above
• community dwelling
• can read and write
• can use the android application

You may not qualify if:

• any patient refused to participate

Sponsors & Collaborators

• Ain Shams University: lead

Study Sites (1)

Ain Shams University

Cairo, 11566, Egypt

Location

MeSH Terms

Conditions

Frailty; Cognitive Dysfunction; Depression; Urinary Incontinence; Malnutrition

Condition Hierarchy (Ancestors)

Pathologic Processes; Pathological Conditions, Signs and Symptoms; Cognition Disorders; Neurocognitive Disorders; Mental Disorders; Behavioral Symptoms; Behavior; Urination Disorders; Urologic Diseases; Female Urogenital Diseases; Female Urogenital Diseases and Pregnancy Complications; Urogenital Diseases; Male Urogenital Diseases; Lower Urinary Tract Symptoms; Urological Manifestations; Signs and Symptoms; Nutrition Disorders; Nutritional and Metabolic Diseases

Study Design

• Study Type: observational
• Observational Model: OTHER
• Time Perspective: CROSS SECTIONAL
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Assistant Professor of Geriatric Medicine

Study Record Dates

• First Submitted: January 23, 2019
• First Posted: December 26, 2019
• Study Start: August 1, 2018
• Primary Completion: April 15, 2020
• Study Completion: June 1, 2020
• Last Updated: January 13, 2021

Record last verified: 2021-01

Locations

EG (1)