Understanding Expectancies in Cancer Symptom Management (R01 Clinical Trial Required)
Sector: Hospital • Location: United States of America
Source: Grants.gov
This Notice of Funding Funding Opportunity (NOFO) supports research on expectancy-generating factors and measures of their effects on expectancies and subsequent cancer symptom management outcomes; and research to identify moderators of such expectancy effects. Specifically, this NOFO will solicit mechanistic research that aims to understand how and why expectancy effects occur in a cancer context
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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | posted |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
Contact name | Obfuscated Data |
Phone | 0000000000 |
ObfuscatedData@email.com | |
Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | This Notice of Funding Funding Opportunity (NOFO) supports research on expectancy-generating factors and measures of their effects on expectancies and subsequent cancer symptom management outcomes; and research to identify moderators of such expectancy effects. Specifically, this NOFO will solicit mechanistic research that aims to understand how and why expectancy effects occur in a cancer context, elucidate their role in cancer symptom management, and identify patients, symptoms, cancer sites, and contexts in which expectancy effects can be leveraged to improve cancer outcomes. Expectancies are defined in this context as beliefs about future outcomes, including ones response to cancer or cancer treatment. Expectancies can be evoked by social, psychological, environmental, and systemic factors. Expectancy effects are the cognitive, behavioral, and biological outcomes caused by expectancies. Expectancy effects can be generated by expectancies held by patients, clinicians, family members, caregivers, and/or dyadic/social networks. Program is particularly interested in applications that enroll individuals and groups from populations historically underrepresented or excluded from biomedical and behavioral research. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
Region | Obfuscated |
Country | Obfuscated |
State | Obfuscated Data |
County | Obfuscated |
Location | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
Project Type | Obfuscated Data |
Article Published Date | Obfuscated Data |
