Novel INPUT Screening Tool to Improve Illness Understanding in Patients With Metastatic or Incurable Lung Cancer
Information Needs, Preferences, and Understanding Trial (INPUT): A Randomized, Controlled Trial of the Effects of a Screening Tool on Illness Understanding
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Study Type
Study Type
Enrollment (Estimated)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Contact
Study Contact
- Name: Kayley M Ancy, MD
- Phone Number: 832-729-1621
- Email: kmclemings@mdanderson.org
Study Locations
-
-
Texas
-
Houston, Texas, United States, 77030
- Recruiting
- MD Anderson Cancer Center
-
Contact:
- Kayley M Ancy, MD
- Phone Number: 832-729-1621
- Email: kmclemings@mdanderson.org
-
Principal Investigator:
- Kayley M Ancy, MD
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Study Population
Description
Inclusion Criteria:
- Within 3 months of biopsy-confirmed diagnosis of stage IV lung cancer
- Age 18 or over
- English speaking
- Attending a follow-up visit at the thoracic medical oncology clinic
- Plans to receive or actively undergoing cancer-directed systemic treatment at MD Anderson
Exclusion Criteria:
• Diagnosis of cognitive impairment or dementia requiring a surrogate decision maker
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Supportive Care
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: None (Open Label)
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Active Comparator: Arm I (Standard care)
Patients undergo standard of care oncology follow-up visits.
|
Ancillary studies
Other Best Practice best practice, standard of care, standard of care, standard of care, standard therapy Undergo standard of care oncology follow-up visits
|
|
Experimental: Arm II (INPUT screening)
Patients complete the INPUT screening tool at each of their standard of care follow up visits, with their medical oncology team.
|
Ancillary studies
Other Best Practice best practice, standard of care, standard of care, standard of care, standard therapy Undergo standard of care oncology follow-up visits
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Change in illness understanding
Time Frame: At 3 months
|
Binary curability status is derived from the response to the INPUT Screening survey question #2.
Will be similarly modeled by mixed-effect logistic regression.
|
At 3 months
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Difference between treatment groups in illness understanding
Time Frame: At 3 and 6 months
|
Based upon the Prigerson Measure of Illness Understanding.
The Likert-scale and composite score responses (excluding the acceptability of screening tool assessment) will be modeled by mixed-effect analysis of variance with relation to treatment group and time point, with interaction.
Change from baseline at each time point will be assessed by contrasts.
|
At 3 and 6 months
|
|
Quality of communication
Time Frame: At 3 and 6 months
|
Assessed via the Quality of Communication questionnaire.
The Likert-scale and composite score responses will be modeled by mixed-effect analysis of variance with relation to treatment group and time point, with interaction.
Change from baseline at each time point will be assessed by contrasts, without adjustment for multiple comparisons since this is a pilot study.
Baseline variables which show evidence of differences may be utilized as model covariates to control for associated bias.
Binary responses (including the primary objective) will be similarly modeled by mixed-effect logistic regression.
Survey responses which are neither Likert, composite, nor binary, may have categories collapsed such that they can be analyzed as binary.
|
At 3 and 6 months
|
|
Feeling heard and understood by healthcare team
Time Frame: At 3 and 6 months
|
Assessed via the Feeling Heard and Understood scale.
The Likert-scale and composite score responses will be modeled by mixed-effect analysis of variance with relation to treatment group and time point, with interaction.
Change from baseline at each time point will be assessed by contrasts, without adjustment for multiple comparisons since this is a pilot study.
Baseline variables which show evidence of differences may be utilized as model covariates to control for associated bias.
Binary responses (including the primary objective) will be similarly modeled by mixed-effect logistic regression.
Survey responses which are neither Likert, composite, nor binary, may have categories collapsed such that they can be analyzed as binary.
|
At 3 and 6 months
|
|
Death-related anxiety
Time Frame: At 3 and 6 months
|
Assessed via the Death and Dying Distress scale.
The Likert-scale and composite score responses will be modeled by mixed-effect analysis of variance with relation to treatment group and time point, with interaction.
Change from baseline at each time point will be assessed by contrasts, without adjustment for multiple comparisons since this is a pilot study.
Baseline variables which show evidence of differences may be utilized as model covariates to control for associated bias.
Binary responses (including the primary objective) will be similarly modeled by mixed-effect logistic regression.
Survey responses which are neither Likert, composite, nor binary, may have categories collapsed such that they can be analyzed as binary.
|
At 3 and 6 months
|
|
Anxiety related symptoms
Time Frame: At 3 and 6 months
|
Assessed via the Generalized Anxiety Disorder scale.
The Likert-scale and composite score responses will be modeled by mixed-effect analysis of variance with relation to treatment group and time point, with interaction.
Change from baseline at each time point will be assessed by contrasts, without adjustment for multiple comparisons since this is a pilot study.
Baseline variables which show evidence of differences may be utilized as model covariates to control for associated bias.
Binary responses (including the primary objective) will be similarly modeled by mixed-effect logistic regression.
Survey responses which are neither Likert, composite, nor binary, may have categories collapsed such that they can be analyzed as binary.
|
At 3 and 6 months
|
|
Depression
Time Frame: At 3 and 6 months
|
Assessed via the Patient Health Questionnaire, 9 items.
The Likert-scale and composite score responses will be modeled by mixed-effect analysis of variance with relation to treatment group and time point, with interaction.
Change from baseline at each time point will be assessed by contrasts, without adjustment for multiple comparisons since this is a pilot study.
Baseline variables which show evidence of differences may be utilized as model covariates to control for associated bias.
Binary responses (including the primary objective) will be similarly modeled by mixed-effect logistic regression.
Survey responses which are neither Likert, composite, nor binary, may have categories collapsed such that they can be analyzed as binary.
|
At 3 and 6 months
|
|
Health related quality of life
Time Frame: At 3 and 6 months
|
Assessed via the Functional Assessment of Cancer Therapy - General.
The Likert-scale and composite score responses will be modeled by mixed-effect analysis of variance with relation to treatment group and time point, with interaction.
Change from baseline at each time point will be assessed by contrasts, without adjustment for multiple comparisons since this is a pilot study.
Baseline variables which show evidence of differences may be utilized as model covariates to control for associated bias.
Binary responses (including the primary objective) will be similarly modeled by mixed-effect logistic regression.
Survey responses which are neither Likert, composite, nor binary, may have categories collapsed such that they can be analyzed as binary.
|
At 3 and 6 months
|
|
Symptoms of advanced cancer
Time Frame: At 3 and 6 months
|
Assessed via the Edmonton Symptom Assessment System.
The Likert-scale and composite score responses will be modeled by mixed-effect analysis of variance with relation to treatment group and time point, with interaction.
Change from baseline at each time point will be assessed by contrasts, without adjustment for multiple comparisons since this is a pilot study.
Baseline variables which show evidence of differences may be utilized as model covariates to control for associated bias.
Binary responses (including the primary objective) will be similarly modeled by mixed-effect logistic regression.
Survey responses which are neither Likert, composite, nor binary, may have categories collapsed such that they can be analyzed as binary.
|
At 3 and 6 months
|
|
Acceptability of screening tool
Time Frame: At 3 months
|
Assessed via the Ease of Use, Acceptability, Usefulness, and Safety questionnaire.
|
At 3 months
|
|
Goals of care
Time Frame: At 3 and 6 months
|
Assessed via Goals of Care.
The Likert-scale and composite score responses will be modeled by mixed-effect analysis of variance with relation to treatment group and time point, with interaction.
Change from baseline at each time point will be assessed by contrasts, without adjustment for multiple comparisons since this is a pilot study.
Baseline variables which show evidence of differences may be utilized as model covariates to control for associated bias.
Binary responses (including the primary objective) will be similarly modeled by mixed-effect logistic regression.
Survey responses which are neither Likert, composite, nor binary, may have categories collapsed such that they can be analyzed as binary.
|
At 3 and 6 months
|
Collaborators and Investigators
Sponsor
Sponsor
Investigators
Investigators
- Principal Investigator: Kayley Ancy, MD, M.D. Anderson Cancer Center
Publications and helpful links
Helpful Links
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Estimated)
Primary Completion
Study Completion (Estimated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
- Neoplasms by Site
- Neoplasms
- Respiratory Tract Diseases
- Lung Diseases
- Respiratory Tract Neoplasms
- Thoracic Neoplasms
- Lung Neoplasms
- Health Services Administration
- Health Care Quality, Access, and Evaluation
- Quality of Health Care
- Guidelines as Topic
- Quality Assurance, Health Care
- Practice Guidelines as Topic
Other Study ID Numbers
Other Study ID Numbers
- 2024-1519
- NCI-2024-10305 (Other Identifier: NCI-CTRP Clinical Registry)
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.
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