- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05250284
The Intersection of Oncology Care and Worker Well-Being
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
Labor supply and well-being outcomes will be evaluated at 3 timepoints (baseline, start of treatment, 12 months). The likelihood of remaining employed will be estimated with linear probability models as is the convention in labor economics. The study team also estimate employment using analogous logistic models, reporting marginal effects. Weekly hours worked will be estimated using ordinary least squares regression. In addition to measuring raw hours, the team estimate change and percent change in hours worked from baseline. These models can be expanded to accommodate control variables for worksite and job characteristics as well as accommodations, satisfaction, and other covariates predictive employment and hours worked.
Well-being will be assessed as specified by the Worker Well-Being Questionnaire (WellBQ) Manual23 and Patient Reported Outcomes Measurement Information Systems (PROMIS) domains. For PROMIS, subjects respond to a 4-item questionnaire for each domain. Responses are summed and standardized to t-scores, with higher t-scores representing higher levels of the domain measured. For example, an individual with a PROMIS depression t-score of 50 is the average observed in the general U.S. population, while a t-score of 60 indicates one standard deviation above the average score in the general population and represents moderate depressive symptoms. Guided by previous health literature, the team consider a half standard deviation (5-point) increase from initial scores a meaningful improvement for all PROMIS domains. The literature also suggests that meaningful change ranges from 2 to 6 points. Secondary to Aim 1, the team will assess the correlation between PROMIS measures and WellBQ. The WellBQ is at an earlier stage of adoption, warranting side-by-side comparison with established instruments like PROMIS. The InCharge instrument will be evaluated as suggested by the developers.
Study Type
Enrollment (Estimated)
Contacts and Locations
Study Contact
- Name: Carol Brown, PhD
- Phone Number: 562.587.9123
- Email: carol.brown@cuanschutz.edu
Study Locations
-
-
Colorado
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Aurora, Colorado, United States, 80045
- Recruiting
- University of Colorado Anschutz Medical Campus
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Sub-Investigator:
- Carol E Brown
-
Sub-Investigator:
- Lee S Newman
-
Sub-Investigator:
- Liliana Tenney
-
Sub-Investigator:
- Brian D Williams
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Contact:
- Carol Brown
- Email: carol.brown@cuanschutz.edu
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- Males
- Ages 21 to 70
- Newly diagnosed with a first primary solid tumor
- colorectal, lung, and head and neck
- Currently employed (defined as working 10+ hours per week) with the intention to continue working or return to work
- Within 2 months of initiating infusion chemotherapy, oral agent, or radiation therapy
Study Plan
How is the study designed?
Design Details
- Observational Models: Cohort
- Time Perspectives: Prospective
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Employment Hours Worked
Time Frame: 2 years
|
Employment and weekly hours worked will be assessed using questions from the Current Population Survey (CPS)
|
2 years
|
|
Worker Well-being
Time Frame: 2 years
|
Worker well-being will be measured by the NIOSH WellBQ
|
2 years
|
|
Psychosocial Outcomes of Employed Males with Cancer using the validated Stress Thermometer.
Time Frame: 2 years
|
Depression and anxiety will be measured using the well-validated Stress Thermometer, a single item tool using a 0 (no distress) to 10 (extreme distress) - point Likert scale resembling a thermometer.
|
2 years
|
|
Psychosocial Outcomes of Employed Males with Cancer using PROMIS domains
Time Frame: 2 years
|
Psychosocial outcomes will be measured using the validated PROMIS domains.
Subjects respond to a 4-item questionnaire for each domain.
Responses are summed and standardized to t-scores, with higher t-scores representing higher levels of the domain measured.
For example, an individual with a PROMIS depression t-score of 50 is the average observed in the general U.S. population, while a t-score of 60 indicates one standard deviation above the average score in the general population and represents moderate depressive symptoms.
|
2 years
|
|
Financial Burden of Employed Males with Cancer
Time Frame: 2 yearas
|
A systematic review of methods for measuring financial burden following cancer treatment identified 6 subdomains that represent perceptions of and reactions to financial distress: (i) financial spending, (ii) use of passive financial resources, (iii) psychosocial responses, (iv) support seeking, (v) coping with care or (vi) coping with ones' lifestyle.64
We chose the InCharge Financial Well-being/Financial Distress Scale (8 items) that covers most domains and is widely used in cancer patients.
|
2 yearas
|
Collaborators and Investigators
Sponsor
Investigators
- Principal Investigator: Cathy Bradley, University of Colorado, Denver
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Estimated)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- 21-4139.cc
- U19OH011227 (U.S. NIH Grant/Contract)
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
product manufactured in and exported from the U.S.
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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