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| ID | Type | Description | Link |
|---|---|---|---|
| R21AG041489 | U.S. NIH Grant/Contract | View source |
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| Name | Class |
|---|---|
| National Institute on Aging (NIA) | NIH |
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The goal of this study is to determine the feasibility, reliability, and validity of administering the Geriatric Assessment Tool using these two different computer based survey platforms, REDCap and Support Screen. The development of a computer based Geriatric Assessment Tool has the potential to improve research and clinical practice by providing an efficient user friendly means to collect and analyze data for geriatric oncology patients.
Sixty percent of all cancer diagnoses and 70% of all cancer mortality occurs in patients age 65 and older. Patients older than age 65 years have an 11-fold increased cancer incidence and a 16-fold increase in cancer mortality in comparison to those younger than 65 years. The population at risk is growing rapidly: the number of adults age 65 years and older is expected to double in the next 30 years. In order to adequately care for this growing population of older adults, oncologists need an assessment tool that provides information regarding an older individual's "functional age" rather than just "chronological age." The Geriatric Assessment Tool developed by Hurria and colleagues has been found to help identify those older adults who are more vulnerable to complications from cancer treatment.
The Geriatric Assessment Tool takes into account well validated measures of functional status, co-morbid medical conditions, cognitive function, psychological state, nutritional status, social activity, and social support. Pilot data demonstrates the feasibility of this assessment which can be completed in less than 30 minutes; however, this assessment is completed by pencil and paper, and therefore requires an interviewer to deliver, score, and summarize the assessment results. The development of a computer based Geriatric Assessment Tool would have practical importance for both research and clinical practice. It could potentially allow more efficient data collection and analysis in the research setting. In turn it would potentially influence clinical decision making by medical oncologists given its ability to predict chemotherapy related toxicity among geriatric oncology patients across all tumor types.
Two electronic platforms have been developed for the Geriatric Assessment Tool:
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Group 1 | REDCap and paper pencil | ||
| Group 2 | REDCap twice | ||
| Group 3 | Support Screen and paper pencil | ||
| Group 4 | Support Screen twice |
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| Measure | Description | Time Frame |
|---|---|---|
| Patient's ability to complete the assessment | Measured by responses to questionnaire. To be determined by the patient's ability to complete the assessment without assistance, the length of time it takes to complete the assessment, the mean number of missing items and patient satisfaction. | 2 years |
| Item correlation between different assessment platforms | Measured by responses to questionnaire. Test for item correlations greater than 0.7 versus a null hypothesis of correlation. | 2 years |
| Positive correlations between different measures of functional status | Internal consistency using Cronbach's alpha and Pearson's correlation. | 2 years |
| Measure | Description | Time Frame |
|---|---|---|
| Questionnaire- percentage of patients who did not enter the study and the reason for declining participation | Determine if there are different demographic characteristics among those who decline versus participate. Patients who decline participation in the study will be asked for permission to capture the following demographic information: 1) age, 2) gender, 3) race, 4) ethnicity, and 5) reason for declining enrollment. |
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Inclusion Criteria:
Exclusion Criteria:
• Non-English speaking because some components of the geriatric assessment tool have not yet been validated in other languages.
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Using a prospective longitudinal study design, 100 patients will be recruited for this study from the outpatient medical oncology and hematology practice at City of Hope Medical Center.
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| Name | Affiliation | Role |
|---|---|---|
| Arti Hurria, MD | City of Hope Medical Center | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| City of Hope Medical Center | Duarte | California | 91010 | United States |
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| ID | Term |
|---|---|
| D009369 | Neoplasms |
| D019337 | Hematologic Neoplasms |
| ID | Term |
|---|---|
| D009371 | Neoplasms by Site |
| D006402 | Hematologic Diseases |
| D006425 | Hemic and Lymphatic Diseases |
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| 2 years |