Title: Relationship between access to mental healthcare services and mental health status of LGBTQ+ patients

Authors: Kristin A. Schuller; Rebeka Perkins Crawford; Marilena Wolf; William A. Young II; Adam C. Moyer

Addresses: Department of Health Sciences, Towson University, Towson, MD 21252, USA ' Department of Social and Public Health, Ohio University, College of Health Sciences and Professions, Athens, OH 45701, USA ' Heritage College of Osteopathic Medicine, Ohio University, Athens, OH 45701, USA ' Department of Analytics and Information Systems, College of Business, Ohio University, Athens, OH 45701, USA ' Department of Analytics and Information Systems, College of Business, Ohio University, Athens, OH 45701, USA

Abstract: The purpose of this study was to determine the access to care barriers among LGBTQ+ patients who did not access mental health services, assess the mental health status of patients based on service use, and determine what barriers served as predictors of mental health status. Data was gathered from 257 LGBTQ+ individuals via an electronic survey. ANOVA with t-tests and SHAP analysis assessed the current self-reported mental health status of LGBTQ+ participants. Significant differences were found in the mean mental health status between LGBTQ+ participants who did and did not need services. SHAP results indicate cost and insurance status serves as the greatest predictor of mental health status. This study provides evidence of the poor mental health outcomes for LGBTQ+ patients who indicate needing mental healthcare regardless of whether they can access it when compared with LGBTQ+ patients who indicate not needing it.

Keywords: SEDCABI; prediction; bitcoin; cryptocurrency; text mining; analytics; business intelligence; unstructured data; sentiment; price.

DOI: 10.1504/IJSSS.2024.140472

International Journal of Society Systems Science, 2024 Vol.15 No.1, pp.44 - 58

Received: 21 Jun 2023
Accepted: 22 May 2024
Published online: 19 Aug 2024 *

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