Risk Factors for Cost-Related Delays to Medical Care Among Lymphoma Patients: A 22-Year Analysis of a Nationally Representative Sample

Nationwide disparities in transportation related delays to care experienced by children with frequent ear infections

BACKGROUND

Acute otitis media (AOM), or ear infection, is the most common reason for pediatric medical visits in the United States [1]. Additionally, transportation barriers are a significant driver of missed and delayed care across medical specialties [2,3]. Yet, the role of transportation barriers in impeding access for children with frequent ear infections (FEI) has not been investigated. Assessing the prevalence of transportation barriers across sociodemographic groups may help clinicians improve outcomes for children with FEI.

METHODS

A retrospective analysis of the U.S. National Health Interview Survey was completed to examine associations between sociodemographic characteristics among children with FEI and transportations barriers to seeking care between 2011 and 2018.

RESULTS

Multivariable logistic regression found that income level, insurance status, and health status were linked to disparities in transportation barriers among children with FEI. Those in the middle (aOR 3.00, 95% CI 1.77-5.08, p < 0.001) and lowest income brackets (aOR 6.33, 95% CI 3.80, p < 0.001), who were publicly insured (aOR 3.24, 95% CI 2.00-5.23, p < 0.001) or uninsured (aOR 3.46, 95% CI 1.84-6.51, p < 0.001), and with Poor to Fair health status were more likely to face transportation delays than patients who were in the highest income bracket, privately insured, or had Good to Excellent health status.

CONCLUSION

Children with FEI from families that were lower-income, less insured, and less healthy faced more transportation barriers when accessing care than their counterparts. Future interventions to improve health-related transportation should be targeted toward these patient subgroups to reduce gaps in outcomes.

Patient Perceived Financial Burden in Haematological Malignancies: A Systematic Review

Advances in scientific understanding have led to novel therapies and improved supportive care for many patients with haematological malignancies. However, these new drugs are often costly, only available at centralised health care facilities, require regular specialist reviews and lengthy treatment regimens. This leads to a significant financial burden. Understanding the impact of financial burden on haematological patients is important to appreciate the urgency of alleviating this systemic issue. Method: Eligible studies were identified by systematically searching Medline, PsycINFO, CINAHL and Embase. Self-reported data reported in both quantitative and qualitative studies that described the financial burden for patients with haematological malignancies were included. Quality appraisal of the included studies was undertaken using the Joanna Briggs Institute tools. A narrative synthesis was employed. For quantitative studies, outcomes were extracted, tabulated and categorised to find similarities and differences between the studies. For qualitative studies, quotations, codes and themes were extracted and then clustered. An inductive approach derived qualitative themes. Results: Twenty studies were identified for inclusion. Of the quantitative studies most (83%) employed un-validated researcher-generated measures to assess financial burden. Between 15–59% of patients experienced a financial burden. Out-of-pocket expenditure was frequent for clinical appointments, prescription and non-prescription medication, and travel. Financial burden was associated with a worsening quality of life and living in metropolitan areas, but there was no evidence for impact on survival. Patient-centred experiences from the qualitative inquiry complemented the quantitative findings and five themes were determined: familial or household impact; reliance on others; barriers to care due to cost; and barriers to accessing financial assistance and sources of out-of-pocket expenses. Conclusion: The impacts of financial burden are yet to be fully appreciated in haematological malignancies, exacerbated by the heterogeneous methods employed by researchers. Future work should focus on identifying the long-term ramifications of financial burden for patients and should trial interventions to reduce its prevalence and patient impacts.

Demographic Analysis of Financial Hardships Faced by Brain Tumor Survivors

OBJECTIVE

Quantitative analysis of the financial hardship faced by patients with brain tumors is lacking. The present study sought to conduct a longitudinal analysis of responses to the National Health Interview Survey by patients diagnosed with brain tumors and characterize the impact of demographic factors on financial hardship indices.

METHODS

National Health Interview Survey respondents between 1997 and 2018 who reported previous diagnosis with cancer of the brain and who responded to 4 survey questions that assessed financial stress were included. Sociodemographic exposures included age, ethnicity/race, marriage status, insurance status, and degree of highest educational attainment.

RESULTS

Educational attainment, marital status, and insurance status were the most significant risk factors for temporary or indefinite delays to necessary medical care. Those with only a high-school diploma had 9.6 times higher odds (adjusted odds ratio, 9.68; 95% confidence interval, 2.96-31.70; P < 0.001) of reporting that, in the past 12 months, one of their family members had to limit their medical care in an effort to save money. Similarly, patients with brain tumors who were not married had 3.94 times greater odds (adjusted odds ratio, 3.94; 95% confidence interval, 1.49-10.44; P = 0.009) of avoiding necessary medical care because of an inability to afford it.

CONCLUSIONS

Given this variation in self-reported financial burden, demographics clearly have an impact on a patient's holistic experience after a brain cancer diagnosis. Therefore, by using the comparisons in this study, we hope that medical institutions and neurosurgical societies can more accurately predict which patients are most susceptible to significant financial stress and distribute resources accordingly.