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| Name | Class |
|---|---|
| Tickit Health Solutions | UNKNOWN |
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The purpose of this study is to modify an existing Seattle Children's Hospital investigator-developed, patient-centered, electronic health assessment (eHA) called "Check Yourself" for AYAs with cancer. The investigators will then evaluate the new eHA prototype for feasibility and acceptability among AYAs with cancer and their oncology providers.
Unmet needs among Adolescents and Young Adults (AYAs) with cancer translate to poor physical and psychosocial outcomes. This is particularly true when it comes to AYA sexual health. Our team has found that intimate relationships and risky health behaviors are common among AYAs during their cancer experience, that oncology clinicians rarely ask about these behaviors, and that AYAs rarely volunteer to share these behaviors. As a result, AYAs with cancer are deprived of the surveillance, anticipatory guidance, and normative support participants would have received if participants were well. Currently there is no standard screening process for risk behaviors and the recommended psychosocial screening for AYAs in the SCH oncology clinic setting. To address this problem, the investigators propose to adapt a validated AYA-targeted electronic health assessment (eHA) screening tool for use in oncology clinics.
The purpose of this study is to modify an existing Seattle Children's Hospital investigator-developed, patient-centered, electronic health assessment (eHA) for AYAs with cancer. The investigators will then evaluate the new eHA prototype for feasibility and acceptability among AYAs with cancer and their oncology providers.
AIM 1. To evaluate the modified eHA program prototype for feasibility, acceptability, and process measures. The investigators will enroll a cohort of N=25 AYAs with cancer and N=10 providers from our institution to "beta-test" the program.
Hypothesis 1: There will be applicable and nonapplicable eHA content for AYAs with cancer in the current electronic health assessment (eHA) tool in addition to content relative to AYAs with cancer that should be developed and added.
Hypothesis 2: AYAs will report that the modified AYA oncology specific eHA is both useful and easy to use. Additionally, oncology providers will report that the eHA tool was useful and positively impacted patient care.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| eHA Screening | Experimental | Patients receiving eHA screening tool. |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Check Yourself - Oncology | Behavioral | A validated AYA-targeted electronic health assessment (eHA) screening tool for use in oncology clinics. |
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| Measure | Description | Time Frame |
|---|---|---|
| Determine the feasibility of eHA tool in AYA patients undergoing cancer directed therapy. | Determine the feasibility of Electronic Health Assessment (eHA) tool in AYA population with cancer diagnosis using the feasibility of intervention measure (FIM) tool survey. | 12 months |
| Determine the acceptability of eHA tool in AYA patients undergoing cancer directed therapy. | Determine the acceptability of Electronic Health Assessment (eHA) tool in AYA population with cancer diagnosis using the acceptability of intervention measure (AIM) tool survey. | 12 months |
| Determine the usability of eHA tool in AYA patients undergoing cancer directed therapy. | Determine the usability of Electronic Health Assessment (eHA) tool in AYA population with cancer diagnosis using the usability of intervention of appropriateness measure (IAM) tool survey. | 12 months |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Affiliation | Role |
|---|---|---|
| Tyler G Ketterl, MD, MS | Seattle Children's Hospital | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Seattle Children's | Seattle | Washington | 98105 | United States |
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| ID | Term |
|---|---|
| D040242 | Risk Reduction Behavior |
| ID | Term |
|---|---|
| D001519 | Behavior |
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Single center pilot feasibility study.
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