Background: Nationally, Medicaid enrollees with emergency surgical conditions experience worse outcomes overall when compared with privately insured patients. The goal of this study is to investigate disparities in the treatment of cholecystitis based on insurance type and to identify contributing factors.
Methods: Adults with cholecystitis at a safety-net hospital in Central Massachusetts from 2017-2018 were included. Sociodemographic and clinical characteristics were compared based on Medicaid enrollment status (Medicare excluded). Univariate and multivariate analyses were used to compare the frequency of surgery, time to surgery (TTS), length of stay (LOS), and readmission rates between groups.
Results: The sample (n = 203) included 69 Medicaid enrollees (34%), with a mean age of 44.4 years. Medicaid enrollees were younger (p = 0.0006), had lower levels of formal education (high school diploma attainment, p < 0.0001), were more likely to be unmarried (p < 0.0001), Non-White (p = 0.0012), and require an interpreter (p < 0.0001). Patients in both groups experienced similar rates of laparoscopic cholecystectomy, TTS, and LOS; however, Medicaid enrollees experienced more readmissions within 30 days of discharge (30.4% vs 17.9%, p < 0.001).
Conclusion: Despite anticipated population differences, the treatment of acute cholecystitis was similar between Medicaid and Non-Medicaid enrollees, with the exception of readmission. Further research is needed to identify patient, provider, and/or population factors driving this disparity.
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http://dx.doi.org/10.1007/s11605-019-04471-y | DOI Listing |
Addiction
January 2025
Center for Health Systems Effectiveness, Department of Emergency Medicine, Oregon Health and Science University, Portland, OR, USA.
Background And Aims: Medication is the gold standard to support a healthy pregnancy for pregnant people with opioid use disorder (OUD). This study measured inequities and differences in OUD medication treatment among pregnant people in Oregon, USA.
Design, Setting, Participants And Measurements: Our study population consisted of Medicaid enrollees across the US state of Oregon who had at least one live hospital birth between 2012 and 2020 and one diagnosis of OUD prenatally (n = 4363).
JAMA Netw Open
January 2025
Department of Health Law, Policy and Management, Boston University School of Public Health, Boston, Massachusetts.
Importance: Pregnant people with opioid use disorder (OUD) are at high risk for potentially avoidable maternal morbidity. The majority of pregnant people with OUD receive health insurance through state Medicaid programs, but there is little comprehensive data on the burden of severe maternal morbidity (SMM)-a composite measure of adverse maternal health outcomes-among this high-risk group.
Objective: To estimate rates of SMM among Medicaid-enrolled pregnant people with OUD from 2016 to 2018.
Telemed Rep
December 2024
Department of Pediatrics, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
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).
Health Serv Res
January 2025
Department of Psychiatry, New York State Psychiatric Institute, Columbia University Irving Medical Center, New York, New York, USA.
Objective: To evaluate the completeness and quality of Medicaid comprehensive managed care (CMC) data in national MAX/TAF research files.
Study Setting And Design: This observational study compared CMC with fee-for-service (FFS) enrollee data in 2001-2019 Medicaid MAX/TAF inpatient, outpatient, and pharmacy files. Completeness was assessed as the proportion of enrollees with any claim and mean claims per enrollee with any claim.
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