During the early days and months of the COVID-19 pandemic, healthcare facilities experienced a slump in non-COVID-related visits, and there was an increasing interest in telehealth to deliver healthcare services for adult and pediatric patients. The study investigated telehealth use variation by race/ethnicity and place of residence for the pediatric enrollees of the Alabama Medicaid program. This retrospective observational study examined Alabama Medicaid claims data from March to December 2020 for enrollees less than 19 years. There were 637,792 pediatric enrollees in the Alabama Medicaid program during the study period, and 16.9% of them had used telehealth to meet healthcare needs. This study employed a multivariate Poisson mixed-effects model with robust error variance to obtain differences in telehealth utilization and found that Non-Hispanic Black children were 80% as likely, Hispanic children were 55% as likely, and Asian Children were 46% as likely to have used telehealth compared to Non-Hispanic White children. Pediatric enrollees in large rural areas and isolated areas were significantly less likely (IRR: 0.90 for both, p<0.05) to use telehealth than those in urban areas. This study's findings suggest that attention needs to be paid to addressing race/ethnicity disparities in accessing telehealth services.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10292692 | PMC |
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0287598 | PLOS |
JAMA Health Forum
January 2025
Department of Health Law, Policy, and Management, School of Public Health, Boston University, Boston, Massachusetts.
Health Serv Res
January 2025
Department of Health Services Policy and Management, Arnold School of Public Health, University of South Carolina, Columbia, South Carolina, USA.
Objective: To compare healthcare services utilization across the healthcare system between frequent and non-frequent emergency department (ED) users among Medicaid enrollees in South Carolina.
Study Setting And Design: We conducted a retrospective, longitudinal study of individuals with at least one ED visit in 2017 in South Carolina and identified their healthcare services visits over 730 days (2 years) after their first ED visit. We classified individuals based on intensity of ED use: superfrequent (≥9 ED visits/year), frequent (4-8 ED visits/year), and non-frequent ED users (≤3 visits/year).
Med Care
December 2024
Department of Health Services Administration, School of Health Professions University of Alabama at Birmingham, Birmingham, AL.
Objective: To assess the association of agency nursing staff utilization with nursing home (NH) quality.
Background: Nursing staff are the primary caregivers in NHs, where high-quality care is contingent upon their adequacy and expertise. Long-standing staffing challenges, exacerbated by the COVID-19 pandemic, have led NHs to rely on agency/contract labor to alleviate staffing shortages.
Objective: The objective of this study was to compare 2 approaches for representing self-reported race-and-ethnicity, additive modeling (AM), in which every race or ethnicity a person endorses counts toward measurement of that category, and a commonly used mutually exclusive categorization (MEC) approach. The benchmark was a gold-standard, but often impractical approach that analyzes all combinations of race-and-ethnicity as distinct groups.
Methods: Data came from 313,739 respondents to the 2021 Medicare Consumer Assessment of Healthcare Providers and Systems (CAHPS) surveys who self-reported race-and-ethnicity.
Cureus
November 2024
Neurosurgery, Baptist Health Neuroscience Partners Neurosurgery, Baptist Medical Center South, Montgomery, USA.
Introduction: Stroke is one of the common causes of mortality. The length of stay (LOS) for a stroke is a quality indicator and affects mortality. However, there are no large studies evaluating the LOS in an acute inpatient setting for stroke patients, mainly hematological and social parameters.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!