AJMC September 27, 2021
Nadereh Pourat, PhD, MSPH, Xiao Chen, PhD, Yusuke Tsugawa, MD, PhD, MPH, Connie Lu, MPH, Weihao Zhou, MS, Hank Hoang, PharmD, MBA, Brionna Hair, PhD, MPH, Joshua Bolton, MSIE, Alex Sripipatana, PhD, MPH

This paper utilizes latent class analysis to identify subgroups of complex conditions and of super-utilizers among health center patients to inform clinically tailored efforts.

ABSTRACT

Objectives: Existing literature indicates that multimorbidity, mental health (MH) conditions, substance use disorders (SUDs), and social determinants of health are hallmarks of high-need, high-cost patients. Health Resources and Services Administration–funded health centers (HCs) provide care to nearly 30 million patients, but data on their patients’ complexity and utilization patterns are limited. We identified subgroups of HC patients based on latent concepts of complexity and utilization.

Study Design: We used cross-sectional national data from the 2014 Health Center Patient Survey and latent class analyses to identify distinct and homogenous groups of complex high-utilizing patients aged 18...

Today's Sponsors

LEK
ZeOmega

Today's Sponsor

LEK

Continue Reading

 
Topics: Patient / Consumer, Provider, Survey / Study, Trends
Related Articles:
Hackers disclose personal information stolen in Change Healthcare cyberattack
Early tests of H5N1 prevalence in milk suggest U.S. bird flu outbreak in cows is widespread
AHRQ guide provides ways to support equity through digital health care technology
What Do Weight-Loss Drugs Mean for Diet Industry Built on Eating Less and Exercise?
Involuntary Medical Hold: The Next Step in Mental Health Parity?

Share This Article