Insurance churn after adult traumatic injury: A national evaluation among a large private insurance database

Hospital Presumptive Eligibility Emergency Medicaid Programs: An Opportunity for Continuous Insurance Coverage?

BACKGROUND

Lack of health insurance is a public health crisis, leading to foregone care and financial strain. Hospital Presumptive Eligibility (HPE) is a hospital-based emergency Medicaid program that provides temporary (up to 60 d) coverage, with the goal that hospitals will assist patients in applying for ongoing Medicaid coverage. It is unclear whether HPE is associated with successful longer-term Medicaid enrollment.

OBJECTIVE

To characterize Medicaid enrollment 6 months after initiation of HPE and determine sociodemographic, clinical, and geographic factors associated with Medicaid enrollment.

DESIGN

This was a cohort study of all HPE approved inpatients in California, using claims data from the California Department of Healthcare Services.

SETTING

The study was conducted across all HPE-participating hospitals within California between January 1, 2016 and December 31, 2017.

PARTICIPANTS

We studied California adult hospitalized inpatients, who were uninsured at the time of hospitalization and approved for HPE emergency Medicaid. Using multivariable logistic regression models, we compared HPE-approved patients who enrolled in Medicaid by 6 months versus those who did not.

EXPOSURES

HPE emergency Medicaid approval at the time of hospitalization.

MAIN OUTCOMES AND MEASURES

The primary outcome was full-scope Medicaid enrollment by 6 months after the hospital's presumptive eligibility approval.

RESULTS

Among 71,335 inpatient HPE recipients, a total of 45,817 (64.2%) enrolled in Medicaid by 6 months. There was variability in Medicaid enrollment across counties in California (33%-100%). In adjusted analyses, Spanish-preferred-language patients were less likely to enroll in Medicaid (aOR 0.77, P <0.001). Surgical intervention (aOR 1.10, P <0.001) and discharge to another inpatient facility or a long-term care facility increased the odds of Medicaid enrollment (vs. routine discharge home: aOR 2.24 and aOR 1.96, P <0.001).

CONCLUSION

California patients who enroll in HPE often enroll in Medicaid coverage by 6 months, particularly among patients requiring surgical intervention, repeated health care visits, and ongoing access to care. Future opportunities include prospective evaluation of HPE recipients to understand the impact that Medicaid enrollment has on health care utilization and financial solvency.

Multicenter evaluation of financial toxicity and long-term health outcomes after injury

BACKGROUND

Despite the growing awareness of the negative financial impact of traumatic injury on patients' lives, the association between financial toxicity and long-term health-related quality of life (hrQoL) among trauma survivors remains poorly understood.

METHODS

Patients from nine trauma centers participating in a statewide trauma quality collaborative had responses from longitudinal survey data linked to inpatient trauma registry data. Financial toxicity was defined based on patient-reported survey responses regarding medical debt, work or income loss, nonmedical financial strain, and forgone care due to costs. A financial toxicity score ranging from 0 to 4 was calculated. Health-related quality of life was assessed using the EuroQol 5 Domain tool. Multivariable regression models evaluated the association between financial toxicity and hrQoL outcomes while adjusting for patient demographics, injury severity and inpatient treatment intensity, and health systems variables.

RESULTS

Among the 403 patients providing 510 completed surveys, rates of individual financial toxicity elements ranged from 21% to 46%, with 65% of patients experiencing at least one element of financial toxicity. Patients with any financial toxicity had worse summary measures of hrQoL and higher rates of problems in all five EuroQol 5 Domain domains ( p < 0.05 for all). Younger age, lower household income, lack of insurance, more comorbidities, discharge to a facility, and air ambulance transportation were independently associated with higher odds of financial toxicity ( p < 0.05 for all). Injury traits and inpatient treatment intensity were not independently associated with financial toxicity.

CONCLUSION

A majority of trauma survivors in this study experienced some level of financial toxicity, which was independently associated with worse risk-adjusted health outcomes across all hrQoL measures. Risk factors for financial toxicity are not related to injury severity or treatment intensity but rather to sociodemographic variables and measures of prehospital and posthospital health care resource utilization. Targeted interventions and policies are needed to address financial toxicity and ensure optimal recovery for trauma survivors.

LEVEL OF EVIDENCE

Prognostic and Epidemiological; Level III.