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Trends in charges and association with defaults on medical payments in uninsured Americans: a disproportionate burden in ethnic minorities – a retrospective observational study

OBJECTIVE: To evaluate whether medical event charges are associated with uninsured patients’ probability of medical payment default and whether there exist racial/ethnic disparity gaps in medical payment defaults. DESIGN: We use logistic regression models to analyse medical payment defaults. Our adj...

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Detalles Bibliográficos
Autores principales: Linde, Sebastian, Egede, Leonard E
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9125734/
https://www.ncbi.nlm.nih.gov/pubmed/35613797
http://dx.doi.org/10.1136/bmjopen-2021-054494
Descripción
Sumario:OBJECTIVE: To evaluate whether medical event charges are associated with uninsured patients’ probability of medical payment default and whether there exist racial/ethnic disparity gaps in medical payment defaults. DESIGN: We use logistic regression models to analyse medical payment defaults. Our adjusted estimates further control for a rich set of patient and medical visit characteristics, region and time fixed effects. SETTING: Uninsured US adult (non-elderly) population from 2002 to 2017. PARTICIPANTS: We use four nationally representative samples of uninsured patients from the Medical Expenditure Panel Survey across office-based (n=39 967), emergency (n=3269), outpatient (n=1739) and inpatient (n=340) events. PRIMARY AND SECONDARY OUTCOME MEASURES: Payment default, medical event charges and medical event payments. RESULTS: Relative to uninsured non-Hispanic white (NHW) patients, uninsured non-Hispanic black (NHB) patients are 142% (p<0.01) more likely to default on medical payments for office-based visits, 27% (p<0.05) more likely to default on emergency department visit payments and 82% (p<0.1) more likely to default on an outpatient visit bill. Hispanic patients are 46% (p<0.01) more likely to default on an office-based visit, but 25% less likely to default on emergency department visit payments than NHW patients. Within our fully adjusted model, we find that racial/ethnic disparities persist for office-based visits. Our results further suggest that the probabilities of payment defaults for office-based, emergency and outpatient visits are all significantly (p<0.01) and positively associated with the medical event charges billed. CONCLUSIONS: Medical event charges are found to be broadly associated with payment defaults, and we further note disproportionate payment default disparities among NHB patients.