Does Opioid Use Disorder Matter for Health Care Utilization Among Lung Cancer Patients? Evidence from US Hospitals During 2016-2020

초록

Background and ObjectiveThe number of hospitalizations due to opioid use disorders in the USA increased steadily from 62,010 in 1998-2000 to 136,240 in 2015-2016; however, no health care utilization of lung cancer patients with opioid use disorder has been reported. The purpose of this paper is to investigate health care utilization due to opioid use disorder among lung cancer patients and to investigate additional charge status due to this disorder.MethodsThe National Inpatient Sample of the USA was used to identify lung cancer patients (n = 11,418, weighted n = 557,090) from 2016 to 2020. The characteristics of patient samples, temporal trend of opioid use disorder, and its association with health care utilization measured by hospital charges were thoroughly examined by the multivariate survey linear regression model.ResultsAmong 557,090 lung cancer patients, 2.4% had opioid use disorder. The proportion of opioid use disorder among lung cancer patients during the study periods had continuously grown. Hospital charges also continued to increase during the study period and were higher among lung cancer patients with opioid use disorder. Survey linear results showed that opioid use disorder was associated with 12.6% higher hospital charges. Analysis of subgroups revealed that this trend was similar across p < the majority of social groups; however, it was significantly higher among Caucasian individuals (0.001) and self-pay groups (p = 0.035) than among others.ConclusionsResearch conducted has identified gaps in care in rural and suburban areas and a lack of equal care given to minority and low-income patients. These vulnerable groups access health care less often, are charged more for the care they receive, and often face multiple barriers to treatment. Unless these issues are addressed with a focus on socioeconomic factors, race, and region, the opioid epidemic will continue to negatively decimate these populations.

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