Survival in Women with De Novo Metastatic Breast Cancer: A Comparison of Real-World Evidence from a Publicly-Funded Canadian Province and the United States by Insurance Status

Metastatic breast cancer (MBC) patient outcomes may vary according to distinct health care payers and different countries. We compared 291 Alberta (AB), Canada and 9429 US patients < 65 with de novo MBC diagnosed from 2010 through 2014. Data were extracted from the provincial Breast Data Mart and from the National Cancer Institute’s SEER program. US patients were divided by insurance status (US privately insured, US Medicaid or US uninsured). Kaplan-Meier and log-rank analyses were used to assess differences in OS and hazard ratios (HR) were estimated using Cox models. Multivariate models were adjusted for age, surgical status, and biomarker profile. No difference in OS was noted between AB and US patients (HR = 0.92 (0.77–1.10), p = 0.365). Median OS was not reached for the US privately insured and AB groups, and was 11 months and 8 months for the US Medicaid and US uninsured groups, respectively. The 3-year OS rates were comparable between US privately insured and AB groups (53.28% (51.95–54.59) and 55.54% (49.49–61.16), respectively). Both groups had improved survival (p < 0.001) relative to the US Medicaid and US uninsured groups [39.32% (37.25–41.37) and 40.53% (36.20–44.81)]. Our study suggests that a universal health care system is not inferior to a private insurance-based model for de novo MBC.

Factors Affecting Compliance With Myringotomy Tube Follow-up Care

Objective: Myringotomy and tube insertion is a commonly practiced procedure within pediatric otolaryngology. Though relatively safe, follow-up appointments are critical in preventing further complications and monitoring for improvement. This study sought to evaluate the factors associated with compliance of post-myringotomy follow-up visits in an urban safety-net tertiary care setting. Methods: This study is a retrospective chart review conducted in outpatient otolaryngology clinic at an urban, safety-net, tertiary-care, academic medical center. All patients from ages 0 to 18 who received myringotomy and tube placement between February 3, 2012, to May 30, 2018 at the aforementioned clinic were included. Results: A total of 806 patients had myringotomy tubes placed during this period; 190 patients were excluded due to no visits being scheduled within 1 and 6 month visit windows post-operatively, leaving 616 patients included for analysis. Of 616 patients, 574 patients were seen for the 1-month visit, (42 patients did not have follow-up visits within the 1-month window), and 356 patients were examined for the 6-month visit (260 patients did not schedule follow-up visits within the 6-month window). For the 1-month follow-up visits post-procedure, only race/ethnicity type “Other” was associated with lower no-show rates (OR = 0.330, 95% CI: 0.093-0.968). With the 6-month follow-up visits, having private insurance (OR = 0.446, 95% CI: 0.229-0.867) and not having a 1-month visit scheduled (OR = 0.404, 95% CI: 0.174-0.937) predicted lower no-show rates. Conclusion: No meaningful factors studied were significantly associated with compliance of short-term, 1-month visits post-myringotomy. Compliance of longer-term, 6-month post-operative visits was associated with insurance type and previous visit status.

What motivates physicians to propose private services in a mixed private-public healthcare system? A mixed methods study

Background Implementation of private elements, including private insurances, in public healthcare system is now common in many countries, and its impacts have been well studied. Little, however, is known about the motives leading physicians, major role players in the system, to promote the usage of private services. The aim of this study was to explore the various motives leading physicians within public systems to propose private services to their patients, while examining the possible associations to their specialty and level of commitment. Methods A total of 197 physicians from specialisms loaded more to private/public sectors participated in a cross-sectional telephone survey regarding their attitudes on their practices, private insurances, access to healthcare, and job satisfaction. The association between the likert scale questions to their recommendation to purchase private insurance, and the commitment they felt towards patients were analyzed using Generalized Estimating Equations (GEE) as well as logistic regression models. Results Our findings suggest physicians engaged in dual practice are less likely to promote private insurances among their patients if they are satisfied with their public job (OR = 0.92, 95%CI 0.89,0.94). Physicians perceived private insurances as beneficial for patients, were found likely to promote them (OR = 1.65, %95CI 1.16, 2.35). The commitment physicians felt toward patients who paid out-of-pocket money was associated to their sense of being trusted and valued (OR = 1.99, 95%CI 1.33, 2.88; OR = 1.5, 95%CI 1.05, 2.13 respectively). Conclusion This study suggests a deeper understanding of physicians’ daily experience of the private-public mix and it’s consequences, and could provide a platform for future studies. Further studies on physician’s role in health privatization processes are needed, and could aid policymakers in their efforts to strengthen healthcare systems around the world.

Update on prevalence of diagnosed systemic lupus erythematosus (SLE) by major health insurance types in the US in 2016

Objective To provide current estimates of the number of patients with prevalent systemic lupus erythematosus (SLE) by major health insurance types in the US and to describe patient characteristics. Four large US health insurance claims databases were analyzed to represent different types of insurance coverage, including private insurance, Medicaid, and Medicare Supplemental. Results Overall unadjusted SLE prevalence per 100,000 persons in the US ranged from 150.1 (private insurance) to 252.9 (Medicare Supplemental insurance). Extrapolating to the US civilian population in 2016, we estimated roughly 345,000 to 404,000 prevalent SLE patients with private/Medicare insurance and 99,000 prevalent SLE patients with Medicaid insurance. Comorbidities, including renal failure/dialysis were commonly observed across multiple organ systems in SLE patients (8.4–21.1%). We estimated a larger number of prevalent SLE cases in the US civilian population than previous reports and observed extensive disease burden based on a 1-year cross-sectional analysis.

Clinical and Socioeconomic Factors that Predict Non-completion of Adjuvant Chemotherapy for Colorectal Cancer in a Rural Cancer Center

Background Previous literature demonstrates correlations between comorbidities and failure to complete adjuvant chemotherapy. Frailty and socioeconomic disparities have also been implicated in affecting cancer treatment outcomes. This study examines the effect of demographics, comorbidities, frailty, and socioeconomic status on chemotherapy completion rates in colorectal cancer patients. Methods This was an observational case-control study using retrospective data from Stage II and III colorectal cancer patients offered chemotherapy between January 01, 2013 and January 01, 2018. Data was obtained using the cancer registry, supplemented with chart review. Patients were divided based on treatment completion and compared with respect to comorbidities, age, Eastern Cooperative Oncology Group (ECOG) score, and insurance status using univariate and multivariate analyses. Results 228 patients were identified: 53 Stage II and 175 Stage III. Of these, 24.5% of Stage II and 30.3% of Stage III patients did not complete chemotherapy. Neither ECOG status nor any comorbidity predicted failure to complete treatment. Those failing to complete chemotherapy were older (64.4 vs 60.8 years, P = .043). Additionally, those with public assistance or self-pay were less likely to complete chemotherapy than those with private insurance ( P = .049). Both factors (older age/insurance status) remained significant on multivariate analysis (increasing age at diagnosis: OR 1.03, P =.034; public insurance: OR 1.84, P = .07; and self-pay status: OR 4.49, P = .03). Conclusions No comorbidity was associated with failure to complete therapy, nor was frailty, as assessed by ECOG score. Though frailty was not significant, increasing age was, possibly reflecting negative attitudes toward chemotherapy in older populations. Insurance status also predicted failure to complete treatment, suggesting disparities in access to treatment, affected by socioeconomic factors.

Healthcare of the Netherlands

The Netherlands is a state located in Western Europe bordering Germany and Belgium. The population of the country is just over 17million people. In terms of GDP, theNetherlands is among the twenty richest countries in the world, and in terms of exports, it is in the top ten. The average life expectancy in theNetherlands is 81.4 years; in the structure ofmortality, malignant neoplasms come out on top, which distinguishes the state from other European countries, where the main cause of deaths is cardiovascular diseases. The compulsory health insurance system was introduced in the country in 2006 after the medical reform. A distinctive feature of the Dutch healthcare system is its relative autonomy from the state, which performs only the function of an external controller, and all other powers belong to the municipal authorities. As a result, several private insurance companies have been admitted to health insurance in the Netherlands, which create healthy competition among themselves, thereby contributing to better quality and more affordable healthcare.

Suicide Risk in Adolescents During the COVID-19 Pandemic

BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic created high levels of psychological distress and may have increased suicide risk. METHODS: We used the 4-item Ask Suicide-Screening Questions (ASQ) to assess suicide risk among all patients 12 to 24 years of age at a children’s hospital. We compared demographics, encounter type (telehealth or face-to-face [F2F]), and screening results from April to June 2020 (T2) to those from April to June 2019 (T1). RESULTS: Fewer patients were seen at T2 than T1 (17 986 vs 24 863). A greater proportion of visits at T2 were by telehealth (0% vs 43%). The rate of positive suicide screens was higher in T2 than in T1 (12.2% vs 11.1%, adjusted odds ration [aOR], 1.24; 95% confidence interval [CI], 1.15–1.35). The odds of a positive screen were greater for older patients (aOR of 1.12 for age in years; 95% CI, 1.10–1.14), female patients (aOR, 2.23; 95% CI, 2.00–2.48), patients with public versus private insurance (aOR, 1.88; 95% CI, 1.72–2.07), and lower for Black versus White patients (aOR, 0.85; 95% CI, 0.77–0.95). Rates of positive screens were highest among inpatients (20.0%), intermediate for emergency department patients (14.4%), and lowest in outpatient clinics (9.9%) (P &lt; .05). CONCLUSIONS: Rates of positive suicide risk screens among adolescents rose in the pandemic’s early months with differences related to sociodemographics and visit type. Changes in health care delivery highlight the complexities of assessing and responding to mental health needs of adolescents. Additional research might determine the effects of screening methods and patient populations on screening results.

Effect of Insurance Type on Postoperative Tympanostomy Tube Follow-up

Objective Bilateral myringotomy with tube insertion (BMT) is a common procedure performed in children. Appropriate follow-up is necessary to ensure management of postoperative sequalae. The objectives are to investigate (1) the relationship between insurance type and postoperative follow-up attendance and (2) the effect of follow-up on need for further care after BMT. Study Design Retrospective cohort study. Setting The study included patients <3 years of age undergoing BMT for recurrent acute otitis media at a tertiary care children’s hospital within a single year and followed for 3 years. Patients were excluded if they had received a prior BMT; underwent a concurrent otolaryngologic procedure; or had a syndromic diagnosis, craniofacial abnormality, or any significant cardiac or respiratory comorbidity. Methods Number of follow-up appointments, demographics, socioeconomic status, and postoperative outcomes were analyzed. Results A total of 734 patients were included with mean (SD) age of 1.4 years (0.50). The majority of patients had private insurance (520/734, 70.8%). Patients with public insurance attended fewer postoperative appointments (1.5 vs 1.8, P < .001) and had a higher incidence of BMT-related emergency department (ED) visits (10.3% vs 3.8%, P = .001). There was no significance found when different insurance providers were compared. An adjusted multivariate regression analysis showed that patients with private insurance were more likely to attend postoperative appointments (odds ratio, 3.52 [95% CI, 2.12-5.82]; P < .001) and less likely to have a BMT-related ED visit (odds ratio, 0.42 [95% CI, 0.20-0.89]; P = .024). Conclusion Insurance type is related to outcomes after the treatment of recurrent acute otitis media with BMT. Future studies that survey individuals will help identify barriers that contribute to patient absence at follow-ups and need for subsequent ED visits.

Disparities of Care in Post-Concussive Pediatric Patients

ObjectiveThe objective of this study was to examine the association between insurance status and prevalence of follow up care at a tertiary referral center compared to the emergency department.BackgroundConcussions are extremely common in today's society, affecting patients of all demographic backgrounds. There is concern that public insurance status may affect follow up care at tertiary treatments centers compared to children with private insurance, as evidenced by Copley et al. who documented insurance disparities between children presenting to a sports medicine clinic with orthopedic injuries verses concussion.Design/MethodsWe compared insurance status of patients presenting to our pediatric concussion clinic to the insurance status of patients diagnosed with concussion at the emergency department of our tertiary hospital. From 2018 to 2019, 725 patients received an ICD-10 diagnosis code for concussion in our clinic. Patients were excluded if insurance status was not available for the clinic visit (4), or if they were lost to follow up (380). ICD-10 codes for concussion during the same period were recorded from the COA emergency department (ED). The insurance status was then recorded for each patient.ResultsOf the 345 patients included from the COA concussion clinic, 253 (73%) patients had private insurance while only 92 (27%) had public insurance. In comparison, of the 1,160 patients diagnosed with concussion in the COA ED, 642 (55%) patients had private insurance, 478 (41%) had public insurance, 37 (3.1%) were self-pay, and 3 (0.3%) were listed as “other.”ConclusionsThere is a significant difference in the insurance status of patients with concussion that present to the COA ED when compared to those presenting to concussion clinic. As a result, children with public insurance may have prolonged recovery and more significant symptoms burden compared to children with private insurance.

The Private Healthcare Insurance sector: A victim of fraud

Regardless of the jurisdiction research has repeatedly highlighted that the ‘public’ see the insurance sector as an acceptable business to defraud. This article builds on this work but is different in that we draw on primary research, of which there is little, into the private healthcare insurance sector as a victim of fraud. We start by highlighting the types and volumes of fraud that the insurance sector encounters. This is followed with an examination of policing private insurance fraud in a neo-liberal context where individuals and organisations are responsible for risks. Then, we consider if the private healthcare insurance sector is precipitating and participating in its own victimisation. The methods used in this research to secure data are then explained. Finally we analyse how the key elements of the data might point to the private healthcare insurance sector potentially precipitating and participating in its own victimisation.