Hospital utilization and expenditures for Medicaid enrollees by major diagnosis group (original) (raw)

Patterns of Medicaid utilization and expenditures in selected states: 1980-84

Health care financing review, 1988

Data from the Medicaid Tape-to-Tape project are presented for 5 years, 1980-84, and for five States--California, Georgia, Michigan, New York, and Tennessee. These States represent a range of generous to restrictive Medicaid program characteristics. Utilization and expenditure measures are presented for most Medicaid services: hospital services, long-term care, physician services, and prescription drugs. Data are further disaggregated by major eligibility group: children and adults covered by Aid to Families with Dependent Children; aged and disabled covered by Supplemental Security Income. Previous findings of a high degree of Medicaid diversity among States are confirmed here.

Analysis of Emergency Department Utilization in Medicaid Expansion and Non-expansion States

Cureus, 2021

Introduction The Affordable Care Act has been debated since its initial enactment over a decade ago. One of the primary topics for discussion has been Medicaid expansion, which has created a schism across the United States. The effects of Medicaid expansion largely remain unclear. The purpose of this report is to elucidate how Medicaid expansion has impacted emergency department (ED) utilization by analyzing Medicaid expansion and non-expansion states to determine who visited the ED and the reason for the visit. Methods We conducted a retrospective analysis using de-identified electronic medical record (EMR) data from 56,423 patients and 33 different hospitals (18 Medicaid non-expansion and 15 Medicaid expansion) who visited the ED in 2019. We used geographical demographics and insurance status to categorize patients who visited the ED and ambulatory care sensitive conditions (ACSC) to identify the reasons for the visit. Logistic regression and chi-square analysis were used to analyze the data. Results We observed a significant relationship between Medicaid expansion and geographic region such that patients living in rural or semirural regions likely resided in Medicaid non-expansion states. Patients using self-pay were more likely to live in a Medicaid non-expansion state than a Medicaid expansion state (32.3% vs. 21.5%, p-value < 0.0001). Finally, there were no significant differences between the top five ACSC for Medicaid expansion and Medicaid non-expansion states but living in an expansion state was significantly (p < 0.01) related to being diagnosed with an ACSC (OR, 1.056; 95% CI, 1.013-1.100). Conclusion In conclusion, Medicaid expansion was associated with differences in the use of medical resources. Patients using Medicaid insurance who reside in Medicaid expansion states preferentially use the ED. Geographical location does play a role in ED utilization and ambulatory care sensitive condition diagnoses in patients. Despite these findings, the full effects of Medicaid expansion on ED utilization require further investigation. However, our research indicates that Medicaid expansion is not the singular solution in decreasing ED utilization and healthcare costs.

Medicaid expenditures and state responses

Health care financing review, 1995

This overview summarizes issues addressed in this issue of the Health Care Financing Review, entitled "Medicaid and State Health Reform." Articles cover the following topics: growth in the level of expenditures for Medicaid and creative financing strategies by States to manage these increases; section 1115 demonstration waivers; States' experiences with implementing approved section 1115 demonstrations; how section 1115 demonstration waivers fit into larger State health reform efforts; and other reform efforts in two States.

Longitudinal patterns of enrollment and expenditures for a Medicaid cohort

Health care financing review

This article is based on 4 years of data for a cohort of Medicaid enrollees in California and Georgia to determine patterns of enrollment and expenditures. The analyses were developed from the statistical system known as Tape-to-Tape, which is based on Medicaid enrollment and claims files from these and other States. The composition of the cohort changed over time as a result of the differential rates of turnover for subgroups of the Medicaid population. Longitudinal expenditure patterns also varied by health service and eligibility group. These Medicaid expenditure patterns differed from those observed previously in Medicare studies, undoubtedly reflecting differences in service coverage under Medicare and Medicaid.

Impact of state medicaid expansion status on length of stay and in-hospital mortality for general medicine patients at US academic medical centers

Journal of hospital medicine, 2016

Medicaid is often associated with longer hospitalizations and higher in-hospital mortality than other insurance types. To characterize the impact of state Medicaid expansion status under the Affordable Care Act (ACA) on payer mix, length of stay (LOS), and in-hospital mortality. Retrospective cohort study of general medicine patients discharged from academic medical centers (AMCs) within the University HealthSystem Consortium from October 1, 2012 to September 30, 2015. Hospitals were stratified according to state Medicaid expansion status. The proportion of discharges by primary payer, LOS index, and mortality index were compared between Medicaid-expansion and nonexpansion hospitals before and after ACA implementation. ACA implementation was defined as January 1, 2014, for all states except Michigan, New Hampshire, Pennsylvania, and Indiana, which had unique dates of Medicaid expansion. We identified 3,144,488 discharges from 156 hospitals in 24 Medicaid-expansion states and Washing...

Changes in Hospital Inpatient Utilization Following Health Care Reform

Health Services Research, 2017

Objective. To estimate the effects of 2014 Medicaid expansions on inpatient outcomes. Data Sources. Health Care Cost and Utilization Project State Inpatient Databases, 2011-2014; population and unemployment estimates. Study Design. Retrospective study estimating effects of Medicaid expansions using difference-indifferences regression. Outcomes included total admissions, referralsensitive surgical and preventable admissions, length of stay, cost, and patient illness severity. Findings. In 2014 quarter four, compared with nonexpansion states, Medicaid admissions increased (28.5 percent, p = .006), and uninsured and private admissions decreased (-55.1 percent, p = .001, and-6.6 percent, p = .052), whereas all-payer admissions showed little change. Uninsured expansion effects were negative for preventable admissions (À24.4 percent, p = .068), length of stay (-9.3 percent, p = .039), total cost (À9.2 percent, p = .128), and illness severity (À4.5 percent, p = .397). Significant positive expansion effects were found for Medicaid referral-sensitive surgeries (11.8 percent, p = .021) and patient illness severity (2.3 percent, p = .015). Private and all-payer expansion effects for outcomes other than admission volume were small and mainly nonsignificant (p > .05). Conclusion. Medicaid expansions did not change all-payer admission volumes, but they were associated with increased Medicaid and decreased uninsured volumes. Results suggest those previously uninsured with greater needs for inpatient services were most likely to gain coverage. Compositional changes in uninsured and Medicaid admissions may be due to selection.

Medicaid Tape-to-Tape findings: California, New York, and Michigan, 1981

PubMed, 1988

Presented in this report is an overview of Medicaid enrollment, utilization, and expenditures in California during 1981. The California Medicaid program, called Medi-Cal, is the largest in the Nation in terms of program beneficiaries. During 1981, California had one of the most generous Medicaid programs in the country in terms of eligibility and covered services. At the same time, there were benefit limitations and reimbursement restrictions in place that were designed to restrict program expenditures. The data in this report were provided by the State to the Health Care Financing Administration as part of the Medicaid Tape-to-Tape Project. Data from Michigan and New York are also included for comparison purposes.