Characteristics Associated with Good Self-Perceived Mental Health among United States Adults with Arthritis

Limited Physical Functioning in United States Adults with Arthritis: Findings from the 2021 Medical Expenditure Panel Survey

There is little published research on limited physical functioning in United States (US) adults with arthritis. The objective of this cross-sectional 2021 Medical Expenditure Panel Survey (MEPS) database study was to investigate the variables associated with limited physical functioning in US adults with arthritis. Logistic regression tested the associations of predisposing, enabling, and need variables with the dependent variable (limited physical functioning). This study included 5102 US adults with arthritis, reflecting an estimated weighted population of 64,136,870 US adults with arthritis. In the final multivariable logistic regression model, age ≥ 70 and ages 60-69 (vs. 18-49 years), female (vs. male) sex, having quite a bit/extreme or moderate (vs. little) pain, and having 6+ or 4-5 (vs. 0-1) comorbid conditions were all associated with higher odds of the person stating they had limited physical functioning. Whereas high school or less (vs. more than high school), being employed (vs. unemployed), being married (vs. not married), having excellent/very good or good (vs. poor) general health, and exercise (vs. no exercise) were each associated with lower odds of the person reporting they had limited physical functioning. Future work may be considered to explore these variables in greater detail.

Development and Implementation of a Healthcare Database Analysis Course for Graduate Students

There emerged a need to develop and implement a new healthcare database analysis course for Health Economics and Outcomes Research (HEOR) graduate students, which would allow students to apply their biostatistics and study design skills to answer healthcare-related research questions using large datasets. This communication establishes the need for this course, describes how the course was conceptualized, provides an overview of the course content, course cohort, and course outcomes, and discusses lessons learned from this process. This course was developed to meet the need of HEOR graduates to perform real-world data studies. The course required students to conceptualize a study, apply their data analysis skills to analyze the data, and develop their scientific writing skills by preparing a conference abstract and research report that should be submitted for publication. Lessons learned include focusing more on developing advanced research methodologies and less time on preparing dissemination materials, which can instead be done in subsequent courses or for independent study credit.