Tumor Genomics, Individual Risk Factors, and External Drivers of Health on Health Outcomes for Patients With Meningioma

University of California, San Francisco3,000 enrolled

Overview

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.

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.

Study Type

OBSERVATIONAL

Enrollment

3,000

Conditions

Meningioma of Brain Meningioma Brain Tumor

Interventions

QuestionnaireBEHAVIORAL

A questionnaire will be administered in person or online

Medical Record ReviewOTHER

Medical records will be reviewed for study specific data collection

Eligibility

Sex: ALLMin age: 18 YearsHealthy volunteers:

Medical Language ↔ Plain English

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

Locations (1)

University of California San Francisco

San Francisco, California, United States

RECRUITING

Outcomes

Primary Outcomes

Identifying potential social and structural determinants of health (SSDH)

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.

Time frame: Up to 5 years

Distribution of social and structural determinants of health

The distribution of SSDH factors across racial groups will be analyzed using multilevel logistic and linear models accounting for geographical clustering.

Time frame: Up to 5 years

Identify disparities in social and structural determinants of health (SSDH)

Disparities of SSDH factors across racial groups will be analyzed using multilevel logistic and linear models accounting for geographical clustering.

Time frame: Up to 5 years

Central Contacts

Zora Arum

CONTACT

877-827-3222 zora.arum2@ucsf.edu

Data from ClinicalTrials.gov

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