Risks Associated with Quality Care among Hispanic and White Populations—A Cross-Sectional Comparison Study

Author:

Tzeng Ching-Fang Tiffany1ORCID,Swoboda Thomas2,Huggins Charles3,D’Etienne James3,Wang Hao3ORCID

Affiliation:

1. Department of Emergency Medicine, Baylor & Scott White All Saints Medical Center, 1400 8th Ave., Fort Worth, TX 76104, USA

2. Department of Emergency Medicine, The Valley Health System, Touro University Nevada School of Osteopathic Medicine, 657 N. Town Center Drive, Las Vegas, NV 89144, USA

3. Department of Emergency Medicine, JPS Health Network, 1500 S. Main St., Fort Worth, TX 76104, USA

Abstract

Quality care in healthcare is a multifaceted concept that encompasses the execution of effective medical treatments and the patient’s overall experience. It involves a multitude of factors, including effectiveness, safety, timeliness, equity, and patient centeredness, which are important in shaping the healthcare landscape. This cross-sectional study used the data from the Health Information National Trends Survey 6 (HINTS 6), which collects data on various aspects of health communication and information-seeking behaviors, to investigate the factors associated with quality care among White and Hispanic populations. All adults who participated in HINTS 6 and visited healthcare service at least once in the past 12 months were included in this study. Multivariable logistic regression was used to determine the association between quality care and delay or discriminated care with the adjustment of all other sociodemographic variables. We analyzed a total of 3611 participants. Poor social determinants of health (SDOHs) (OR 0.61, CI 0.43–0.88, p = 0.008), delayed needed medical care (OR 0.34, CI 0.26–0.43, p < 0.001), and discriminated care (OR 0.29, CI 0.15–0.54, p < 0.001) were all negatively associated with optimal quality care. Negative SDOHs could also be positively associated with delayed care and discriminated care.

Publisher

MDPI AG

Subject

Health Information Management,Health Informatics,Health Policy,Leadership and Management

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