A Matched Case-Control Analysis of Sexual and Gender Minorities’ Health, Emergency Department Visits and Inpatient Stays: Evidence from a Mental Health System

• Activity Number: 301 - Design and Analysis Tools for Mental Health Research
• Type: Contributed
• Date/Time: Tuesday, July 30, 2019 : 8:30 AM to 10:20 AM
• Sponsor: Mental Health Statistics Section
• Author(s): Eric FRIMPONG* and Grace Rowan and David Williams and Mengxuan Li and Louis Solano and Sahil Chauldhry and Marleen Radigan
• Companies: and Office of Mental Health and Office of Quality and Patient Safety and Office of Mental Health and Office of Mental Health and New York State Office of Mnetal Health and Office of Mental Health
• Keywords: mental health; sexual and gender minorities; matching; generalized estimation equations

Abstract

This study aims to examine the potential differences in health conditions and acute service use between sexual and gender minorities and matched heterosexual controls. The study uses a matched case-control study design guided by the Gelberg-Anderson behavioral model for vulnerable populations. The analysis will use data from the New York State Office of Mental Health administrative and survey data systems. A descriptive data analysis of acute service utilization will be presented. Generalized estimation equation (GEE) models accounting for matching pairs with a binomial or Poisson distribution and an appropriate working correlation structure will be explored to model the emergency department visit counts and inpatient stays. Predisposing characteristics, enabling and need variables, and risk factors known to influence service use will be examined. We will discuss results from the GEE models, the relative health profile of sexual minorities and the likelihood of using an inpatient or emergency department service.