Interspecialty Opioid Prescribing Patterns in Ophthalmology Following Declaration of a Public Health Emergency.

Purpose: Previous literature has investigated opioid prescription trends in ophthalmology at large, however, little has been done looking at differences between subspecialties. We evaluate if significant trends exist among subspecialties in opioid prescribing patterns. This study aims to illuminate potential over-usage of opioids in ophthalmology that could compromise patient quality of life. Methods: Medicare data and "National Plan and Provider Enumeration System (NPPES) Downloadable File" were queried for cases of ophthalmologists with nonsuppressed opioid prescription data from 2014 to 2019. Ophthalmologists with no subspecialty code or missing regional, gender, degree, or graduation information were excluded. Chi-squared analysis, analysis of variance, t-tests, and multivariate logistic regression were utilized. Results: Five thousand one hundred forty-three physician records were included in analysis, 450 of which were by cornea subspecialists. Most cornea cases were male, graduated before 2005, and practiced in the South. All subspecialties had a significantly increased likelihood of making opioid claims and higher prescription rates compared with cornea (P < 0.050) besides glaucoma (P = 0.357). Only oculoplastics had significantly increased likelihood of greater total supply of opioids compared with cornea (odds ratio [OR] = 22.195, 95% confidence interval [CI] = 12.209-40.350, P < 0.001), while pediatrics (OR = 4.036, 95% CI = 1.377-11.831, P = 0.011) and neuro-ophthalmology (OR = 4.158, 95% CI = 1.237-13.975, P = 0.021) in addition to oculoplastics (OR = 64.380, 95% CI = 26.306-157.560, P < 0.001) were predicted to have significantly greater opioid beneficiaries. Males, the South/Midwest, and graduating before 2005, all were generally associated with increased likelihood of greater total opioid claims, supply, beneficiaries, and prescription rate (P < 0.050). Conclusion: Subspecialty, demographic, chronological, and regional trends exist for opioid prescribing patterns in ophthalmology.

Significance of Social Determinants of Health in Tumor Presentation, Hospital Readmission, and Overall Survival in Ocular Oncology.

PURPOSE: To evaluate the association between social determinants of health (SDH) with presentation and outcomes in patients with ocular cancer. METHODS: The National Cancer Database was queried for primary clinical tumor (cT) classifications of T1 to T4 N0M0 uveal melanoma, conjunctival melanoma, or retinoblastoma diagnosed between January 2006 and December 2017. Pearson χ2 analysis assessed differences in SDH-related characteristics between cancer cohorts. Binary logistic regression with adjusted odds ratios (aORs) and multivariate Cox proportional hazards ratios (HRs) with 95% confidence intervals (CIs) were performed. DESIGN: Cross-sectional with a nationally representative sample. RESULTS: Three thousand nine hundred sixty-eight uveal melanoma cases, 352 conjunctival melanoma cases, and 480 retinoblastoma cases were included. Differences in race, primary payer status, income quartile, population density, facility location, Charlson-Deyo comorbidity score, history of malignancy, cT classification at presentation, surgical treatment, radiotherapy, chemotherapy, 30-day readmission, and overall survival (OS) were observed among the cancers. Female sex (aOR 0.819 [95% CI 0.689-0.973]) and top income quartile (aOR 0.691 [95% CI 0.525-0.908]) had decreased likelihood of advanced cT classification at presentation. No insurance (aOR 1.736 [95% CI 1.159-2.601]) and Medicaid primary payer status (aOR 1.875 [95% CI 1.323-2.656]) had increased likelihood of advanced cT classification. Patients in rural areas (aOR 7.157 [95% CI 1.875-27.320]) were more likely to be readmitted within 30 days after initial treatment. Increased age was associated with decreased 5-year OS (HR 1.040 [95% CI 1.033-1.047]). CONCLUSIONS: SDH may influence advanced cT classification at presentation and 30-day readmission compared with OS in patients with ocular cancer, highlighting the need for ophthalmologists and public health efforts to address disparities in SDH.

Disparities in lung cancer short- and long-term outcomes after surgery: Analysis from the national cancer database.

INTRODUCTION: Social determinants of health are particularly important in lung cancer epidemiology. Previous studies have primarily associated social determinants with long-term outcomes, such as survival, but fail to include short-term outcomes after surgery. The National Cancer Database (NCDB) was used to draw associations between social factors of patients with lung cancer and short-term post-surgical outcomes, while comparing them to prognostic factors, including stage at diagnosis and survival. METHODS: The 2004-17 NCDB was queried for patients with primary epithelial tumor, squamous cell carcinoma, or adenocarcinoma of the lung treated with curative intent. Linear, binary logistic, Kaplan-Meier, and Cox proportional hazards regression models were utilized. RESULTS: On logistic regression modeling, male gender, low income, lacking insurance, and facility in the central United States were associated with poor short-term outcomes (<0.05). Increased age, White race, and Black race were associated with increased length of hospital stay and mortality, but negatively correlated with readmission rates (<0.05). Medicare and Medicaid were associated with increased length of stay and mortality, respectively (<0.05). Similar patterns were observed for higher stage at diagnosis (<0.05). Hazard ratios were elevated with increased age, male gender, White race, lacking insurance, Medicaid, and facility in the central United States (<0.05). CONCLUSION: Many social factors previously associated with poor prognosis after lung cancer diagnosis are also associated with poor short-term outcomes after surgery. This study implies that healthcare providers treating lung cancer should proceed with care while aware that patients with the discussed social factors are predisposed to complicated recoveries.

Palliative Care Effects on Survival in Glioblastoma: Who Receives Palliative Care?

BACKGROUND: High-grade glioma has a poor overall survival with profoundly negative effects on the patient's quality of life and their caregivers. In this study, we investigate the factors associated with receiving palliative care in patients diagnosed with glioblastoma (GBM) and the association of receiving or not receiving palliative care with overall survival. METHODS: The National Cancer Database was analyzed for patterns of care in patients ≥18 years old who were diagnosed with histologically confirmed grade IV GBM between 2004 and 2017. All statistical analyses were conducted based on univariate and multivariate regression models. RESULTS: A total of 85,380 patients with the diagnosis of GBM were identified. Of the study population, 2803 patients (3.28%) received palliative therapy. On multivariate logistic regression analysis, age ≥70 years (odds ratio [OR], 1.28; 95% confidence interval [CI], 1.04-1.58; P < 0.001), Medicare (OR, 1.348; CI, 1.13-1.61; P = 0.001), tumor size ≥5 cm (OR, 1.15; CI, 1.01-1.31; P = 0.036), tumor multifocality (OR, 1.69; CI, 1.47-1.96; P < 0.001), lobe overlapping tumor (OR, 2.09; CI, 1.13-3.86; P = 0.018), Charlson-Deyo score >0, receiving treatment at a nonacademic/research program, and medium volume of cancers managed at the treatment facility (OR, 1.19; CI, 1.02-1.38; P = 0.026) were independent risk factors associated with an increased chance of receiving palliative care. In contrast, a household income of ≥$40,227 and high volume of cancer managed at the treatment facility (OR, 0.75; CI, 0.58-0.96; P = 0.02) were independent risk factors associated with decreased palliative care. Patients who received no palliative care had a 2-year overall survival longer than those who received palliative care (22% vs. 8.8%; P < 0.001). In patients receiving palliative care, those who received recommended treatment had a 2-year overall survival longer than those who declined part or whole recommended treatment (9.1% vs. 3.8%; P = 0.009). CONCLUSIONS: In patients with high-grade glioma, receiving palliative care is associated with decreased survival. When receiving palliative care, recommended treatment increases the number of patients who survive more than 2 years approximately 3-fold compared with those declining part or whole treatment.