A New Tool for Assessing Fatigue in Individuals With Advanced Cancer

May 12, 2022 updated by: University of Alberta

Development of a Rapid Assessment Tool for Fatigue in Palliative Care

Fatigue is a common problem in advanced cancer and palliative care. The development of tools to measure fatigue, however, has been slowed by their inability to distinguish between fatigue and other related symptoms, such as tiredness. Our work suggests that these distinctions are important because they serve as markers for stressors associated with advancing disease. We have developed a tool that we believe will distinguish between these two states as well as exhaustion. In this study we will conduct some initial tests of this tool in preparation for its use as an outcome indicator in future studies.

Study Overview

Status

Completed

Conditions

Intervention / Treatment

Detailed Description

Based on a series of qualitative studies, our group is developing a new rapid fatigue assessment screening tool (rFAST) for use with individuals who have advanced cancer and are receiving care in either an active treatment or palliative setting.

Hypotheses:

  1. The three tools (tiredness, fatigue, and exhaustion) in the rFAST are each defined by the same six dimensions: decline in stamina, decline in cognition, decline in sleep quality, diminished social network, and increased emotional reactivity
  2. The five subscales of the tiredness, fatigue, and exhaustion scales are internally consistent.
  3. Tiredness, fatigue, and exhaustion are distinct states that are manifested by unique patterns of scores on their 6 subscales
  4. The mean POMS-Vsf scores of individuals who meet the definition of fatigue will be lower than the mean POMS-Vsf scores of individuals who meet the definition of tiredness and higher than the mean POMS-Vsf scores of individuals who meet the definition of exhaustion.

Objectives

  1. To examine the factor structure of the tiredness, fatigue, and exhaustion scales of the rFAST.
  2. To examine the internal consistency of the 5 subscales within the tired, fatigue, and exhaustion scales.
  3. To compare actual rFAST scale scores to hypothesized scale profiles for tiredness, fatigue, and exhaustion.

Study Type

Observational

Enrollment (Actual)

228

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

    • Alberta
      • Edmonton, Alberta, Canada, T6G 2T4
        • Faculty of Nursing, University of Alberta

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

Sampling Method

Non-Probability Sample

Study Population

Individuals with advanced cancer

Description

Inclusion Criteria:

  • Patients with advanced cancer currently receiving treatment for either hematologic or lung cancer at the Jewish General Hospital in Montreal, or patients with advanced cancer currently receiving care through the Alberta Cancer Board (Cross Cancer Institute or Tom Baker Cancer Centre), or the palliative care programs associated with the regional health authority in Edmonton, Alberta who are at least 18 years old, able to read and write English, have a Folstein Mini Mental Status Exam score of at least 22.

Exclusion Criteria:

  • Patients unable to give informed consent in English.

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

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
ACI Instrument
228 individuals completed the ACI instrument and other tools
Following ethics approval, 17 experts in symptom management assisted with content validation during the pilot phase. In the main study, participants complete the FACT-F, the POMS-Vsf, and the ACI Instrument. A research assistant collected demographic information and assigned an ECOG score.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
ACI score
Time Frame: day 1
Adaptive Capacity Index Score
day 1

Collaborators and Investigators

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

Investigators

  • Principal Investigator: Karin L Olson, Ph.D., University of Alberta

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

October 1, 2005

Primary Completion (Actual)

October 1, 2007

Study Completion (Actual)

October 1, 2010

Study Registration Dates

First Submitted

January 26, 2007

First Submitted That Met QC Criteria

January 26, 2007

First Posted (Estimate)

January 30, 2007

Study Record Updates

Last Update Posted (Actual)

May 18, 2022

Last Update Submitted That Met QC Criteria

May 12, 2022

Last Verified

March 1, 2020

More Information

Terms related to this study

Keywords

Additional Relevant MeSH Terms

Other Study ID Numbers

  • G118160539

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

IPD Plan Description

No plan to share data. This was an instrument development study.

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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