Meningioma of Brain, Meningioma, Brain Tumor
Conditions
Brief summary
Meningiomas are the most common primary brain tumor, and some groups are diagnosed with higher-grade tumors and have clinically worse outcomes. This study investigates social determinants of health and individual risk factors that may be associated with meningioma.
Detailed description
PRIMARY OBJECTIVES: I. To assess prevalence and distribution of social and structural determinants of health (SSDH) among meningioma patients. II. To assess disparities in SSDH among meningioma patients of different races. OUTLINE: This is an observational study. Participants will complete a survey and have their medical records reviewed.
Interventions
BEHAVIORALQuestionnaire
A questionnaire will be administered in person or online
Medical records will be reviewed for study specific data collection
Sponsors
University of California, San Francisco
National Cancer Institute (NCI)
Study design
Observational model
CASE_ONLY
Time perspective
CROSS_SECTIONAL
Eligibility
Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
Yes
Inclusion criteria
* Adults ≥18 years of age * Able to speak and read English * Diagnosed with a meningioma
Exclusion criteria
* Active psychiatric issues (suicidality, active psychosis, grave disability, etc.) * Inability to consent secondary to severe neurologic deficit or psychiatric distress * Inability to complete survey secondary to severe neurologic deficit or psychiatric distress
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Identifying potential social and structural determinants of health (SSDH) | Up to 5 years | The prevalence of SSDH factors such as race and ethnicity, birthplace, relationship status, sexual orientation/gender identity, education level, socio-economic status, access to care, reproductive/menstrual history, health factors and medication use, chemical and radiation exposure, smoking history, and perceived stress for participants with meningioma will be analyzed using multilevel logistic and linear models accounting for geographical clustering. |
| Distribution of social and structural determinants of health | Up to 5 years | The distribution of SSDH factors across racial groups will be analyzed using multilevel logistic and linear models accounting for geographical clustering. |
| Identify disparities in social and structural determinants of health (SSDH) | Up to 5 years | Disparities of SSDH factors across racial groups will be analyzed using multilevel logistic and linear models accounting for geographical clustering. |
Countries
United States
Contacts
CONTACTZora Arum
PRINCIPAL_INVESTIGATORDavid Raleigh, MD, PhD
University of California, San Francisco, San Francisco, California 94143
Outcome results
None listed