Laboratory-based surveillance of chronic kidney disease in people with private health coverage in Brazil.

BACKGROUND: Although approximately 25% of Brazilians have private health coverage (PHC), studies on the surveillance of chronic kidney disease (CKD) in this population are scarce. The objective of this study was to estimate the prevalence of CKD in individuals under two PHC regimes in Brazil, who total 8,335,724 beneficiaries. METHODS: Outpatient serum creatinine and proteinuria results of individuals from all five regions of Brazil, ≥ 18 years of age, and performed between 10/01/2021 and 10/31/2022, were analyzed through the own laboratory network database. People with serum creatinine measurements were evaluated for the prevalence and staging of CKD, and those with simultaneous measurements of serum creatinine and proteinuria were evaluated for the risk category of the disease. CKD was classified according to current guidelines and was defined as a glomerular filtration rate (GFR) < 60 ml/min/1.73 m² estimated by the 2021 CKD-EPI equation. RESULTS: The number of adults with serum creatinine results was 1,508,766 (age 44.0 [IQR, 33.9-56.8] years, 62.3% female). The estimated prevalence of CKD was 3.8% (2.6%, 0.8%, 0.2% and 0.2% in CKD stages 3a, 3b, 4 and 5, respectively), and it was higher in males than females (4.0% vs. 3.7%, p < 0.001, respectively) and in older age groups (0.2% among 18-29-year-olds, 0.5% among 30-44-year-olds, 2.0% among 45-59-year-olds, 9.4% among 60-74-year-olds, and 32.4% among ≥ 75-year-olds, p < 0.001) Adults with simultaneous results of creatinine and proteinuria were 64,178 (age 57.0 [IQR, 44.8-67.3] years, 58.1% female). After adjusting for age and gender, 70.1% were in the low-risk category of CKD, 20.0% were in the moderate-risk category, 5.8% were in the high-risk category, and 4.1% were in the very high-risk category. CONCLUSION: The estimated prevalence of CKD was 3.8%, and approximately 10% of the participants were in the categories of high or very high-risk of the disease. While almost 20% of beneficiaries with PHC had serum creatinine data, fewer than 1% underwent tests for proteinuria. This study was one of the largest ever conducted in Brazil and the first one to use the 2021 CKD-EPI equation to estimate the prevalence of CKD.

Financial protection and equity in the healthcare financing system in Iran: a cross-sectional study among slum dwellers with type 2 diabetes.

OBJECTIVES: This study was conducted to assess financial protection and equity in the healthcare financing system among slum dwellers with type 2 diabetes (T2D) in Iran in 2022. DESIGN: Cross-sectional study. SETTING: Primary care centres in Iran were selected from slums. PARTICIPANTS: Our study included 400 participants with T2D using a systematic random sampling method. Patients were included if they lived in slums for at least five consecutive years, were over 18 years old and did not have intellectual disabilities. PRIMARY AND SECONDARY MEASURES: A self-report questionnaire was used to assess cost-coping strategies vis-à-vis T2D expenditures and factors influencing them, as well as forgone care among slum dwellers. RESULTS: Of the 400 patients who participated, 53.8% were female. Among the participants, 27.8% were illiterate, but 30.3% could read and write. 75.8% had income below 40 million Rial. There was an association between age, education, income, basic insurance, supplemental insurance and cost-coping strategies (p<0.001). 88.2% of those with first university degree used health insurance and 34% of illiterate people used personal savings. 79.8% of people with income over 4 million Rial reported using insurance to cope with healthcare costs while 55% of those with income under 4 million Rial reported using personal savings and a combination of health insurance and personal savings to cope with healthcare costs. As a result of binary logistic regression, illiterate people (adjusted OR=16, 95% CI 3.65 to 70.17), individuals with low income (OR 5.024, 95% CI 2.42 to 10.41) and people without supplemental insurance (OR 1.885, 95% CI 0.03 to 0.37) are more likely to use other forms of cost-coping strategies than health insurance. CONCLUSIONS: As a result of insufficient use of insurance, cost-coping strategies used by slum dwellers vis-à-vis T2D expenditures do not protect them from financial risks. Expanding universal health coverage and providing supplemental insurance for those with T2D living in slums are recommended. Iran Health Insurance should adequately cover the costs of T2D care for slum dwellers so that they do not need to use alternative strategies.

The usage and costs of national drug price-negotiated anticancer medicines in a first-tier city in Northeast China: a study based on health insurance data.

BACKGROUND: The National Drug Price Negotiation (NDPN) policy has entered a normalisation stage, aiming to alleviate, to some extent, the disease-related and economic burdens experienced by cancer patients. This study analysed the use and subsequent burden of anticancer medicines among cancer patients in a first-tier city in northeast China. METHODS: We assessed the usage of 64 negotiated anticancer medicines using the data on the actual drug deployment situation, the frequency of medical insurance claims and actual medication costs. The affordability of these medicines was measured using the catastrophic health expenditure (CHE) incidence and intensity of occurrence. Finally, we used the defined daily doses (DDDs) and defined daily doses cost (DDDc) as indicators to evaluate the actual use of these medicines in the region. RESULTS: During the study period, 63 of the 64 medicines were readily available. From the perspective of drug usage, the frequency of medical insurance claims for negotiated anticancer medicines and medication costs showed an increasing trend from 2018 to 2021. Cancer patients typically sought medical treatment at tertiary hospitals and purchased medicines at community pharmacies. The overall quantity and cost of medications for patients covered by the Urban Employee Basic Medical Insurance (UEBMI) were five times higher than those covered by the Urban and Rural Resident Medical Insurance (URRMI). The frequency of medical insurance claims and medication costs were highest for lung and breast cancer patients. Furthermore, from 2018 to 2021, CHE incidence showed a decreasing trend (2.85-1.60%) under urban patients' payment capability level, but an increasing trend (11.94%-18.42) under rural patients' payment capability level. The average occurrence intensities for urban (0.55-1.26 times) and rural (1.27-1.74 times) patients showed an increasing trend. From the perspective of drug utilisation, the overall DDD of negotiated anticancer medicines showed an increasing trend, while the DDDc exhibited a decreasing trend. CONCLUSION: This study demonstrates that access to drugs for urban cancer patients has improved. However, patients' medical behaviours are affected by some factors such as hospital level and type of medical insurance. In the future, the Chinese Department of Health Insurance Management should further improve its work in promoting the fairness of medical resource distribution and strengthen its supervision of the nation's health insurance funds.

Longitudinal Trends in Insurer Participation in Multisector Population Health Activities.

Healthcare organizations increasingly engage in activities to identify and address social determinants of health (SDOH) among their patients to improve health outcomes and reduce costs. While several studies to date have focused on the evolving role of hospitals and physicians in these types of population health activities, much less is known about the role health insurers may play. We used data from the National Longitudinal Survey of Public Health Systems for the period 2006 to 2018 to examine trends in health insurer participation in population health activities and in the multi-sector collaborative networks that support these activities. We also used a difference-in-differences approach to examine the impact of Medicaid expansion on insurer participation in population health networks. Insurer participation increased in our study period both in the delivery of population health activities and in the integration into collaborative networks that support these activities. Insurers were most likely to participate in activities focusing on community health assessment and policy development. Results from our adjusted difference-in-differences models showed variation in association between insurer participation in population health networks and Medicaid expansion (Table 2). Population health networks in expansion states experienced significant increases insurer participation in assessment (4.48 percentage points, P < .05) and policy and planning (7.66 percentage points, P < .05) activities. Encouraging insurance coverage gains through policy mechanisms like Medicaid expansion may not only improve access to healthcare services but can also act as a driver of insurer integration into population health networks.

Health Service Use and Costs During Pregnancy Among Privately Insured Individuals With Congenital Heart Disease.

Importance: Individuals with congenital heart disease (CHD) are increasingly reaching childbearing age, are more prone to adverse pregnancy events, and uncommonly undergo recommended cardiac evaluations. Data to better understand resource allocation and financial planning are lacking. Objective: To examine health care use and costs for patients with CHD during pregnancy. Design, Setting, and Participants: This retrospective cohort study was performed from January 1, 2010, to December 31, 2016, using Merative MarketScan commercial insurance data. Participants included patients with CHD and those without CHD matched 1:1 by age, sex, and insurance enrollment year. Pregnancy claims were identified for all participants. Data were analyzed from September 2022 to March 2024. Exposures: Baseline characteristics (age, US region, delivery year, insurance type) and pregnancy-related events (obstetric, cardiac, and noncardiac conditions; birth outcomes; and cesarean delivery). Main Outcomes and Measures: Health service use (outpatient physician, nonphysician, emergency department, prescription drugs, and admissions) and costs (total and out-of-pocket costs adjusted for inflation to represent 2024 US dollars). Results: A total of 11 703 pregnancies (mean [SD] maternal age, 31.5 [5.4] years) were studied, with 2267 pregnancies in 1785 patients with CHD (492 pregnancies in patients with severe CHD and 1775 in patients with nonsevere CHD) and 9436 pregnancies in 7720 patients without CHD. Compared with patients without CHD, pregnancies in patients with CHD were associated with significantly higher health care use (standardized mean difference [SMD] range, 0.16-1.46) and cost (SMD range, 0.14-0.55) except for out-of-pocket inpatient and ED costs. After adjustment for covariates, having CHD was independently associated with higher total (adjusted cost ratio, 1.70; 95% CI, 1.57-1.84) and out-of-pocket (adjusted cost ratio, 1.40; 95% CI, 1.22-1.58) costs. The adjusted mean total costs per pregnancy were $15 971 (95% CI, $15 480-$16 461) for patients without CHD, $24 290 (95% CI, $22 773-$25 806) for patients with any CHD, $26 308 (95% CI, $22 788-$29 828) for patients with severe CHD, and $23 750 (95% CI, $22 110-$25 390) for patients with nonsevere CHD. Patients with vs without CHD incurred $8319 and $700 higher total and out-of-pocket costs per pregnancy, respectively. Conclusions and Relevance: This study provides novel, clinically relevant estimates for the cardio-obstetric team, patients with CHD, payers, and policymakers regarding health care and financial planning. These estimates can be used to carefully plan for and advocate for the comprehensive resources needed to care for patients with CHD.

Type 2 diabetes in the employed population: do rates and trends differ among nine occupational sectors? An analysis using German health insurance claims data.

BACKGROUND: Socioeconomic inequalities in type 2 diabetes (T2D) are well established in the literature. However, within the background of changing work contexts associated with digitalization and its effect on lifestyle and sedentary behavior, little is known on T2D prevalence and trends among different occupational groups. This study aims to examine occupational sector differences in T2D prevalence and trends thereof between 2012 and 2019. METHODS: The study was done on 1.683.644 employed individuals using data from the German statutory health insurance provider in Lower Saxony, the "Allgemeine Ortskrankenkasse Niedersachsen" (AOKN). Predicted probabilities for T2D prevalence in four two-year periods between 2012 and 2019 were estimated based on logistic regression analyses for nine occupational sectors. Prevalence ratios were calculated to illustrate the effect of time period on the prevalence of T2D among the nine occupational sectors. Analyses were stratified by gender and two age groups. RESULTS: Results showed differences among occupational sectors in the predicted probabilities for T2D. The occupational sectors "Transport, logistics, protection and security" and "Health sector, social work, teaching & education" had the highest predicted probabilities, while those working in the sector "Agriculture" had by far the lowest predicted probabilities for T2D. Over all, there appeared to be a rising trend in T2D prevalence among younger employed individuals, with gender differences among occupational sectors. CONCLUSION: The study displayed different vulnerability levels among occupational sectors with respect to T2D prevalence overall and for its rising trend among the younger age group. Specific occupations within the vulnerable sectors need to be focused upon in further research to define specific target groups to which T2D prevention interventions should be tailored.

Impact of overdose on health plan disenrollment among patients prescribed long-term opioids: Retrospective cohort study.

CONTEXT: Health plan disenrollment may disrupt chronic or preventive care for patients prescribed long-term opioid therapy (LTOT). PURPOSE: To assess whether overdose events in patients prescribed LTOT are associated with subsequent health plan disenrollment. DESIGN: Retrospective cohort study. SETTING AND DATASET: Data from the Optum Labs Data Warehouse which includes de-identified medical and pharmacy claims and enrollment records for commercial and Medicare Advantage enrollees. The database contains longitudinal health information on patients, representing a mixture of ages and geographical regions across the United States. PATIENTS: Adults prescribed stable opioid therapy (≥10 morphine milligram equivalents/day) for a 6-month baseline period prior to an index opioid prescription from January 1, 2018 to December 31, 2018. MAIN MEASURES: Health plan disenrollment during follow-up. RESULTS: The cohort comprised 404,151 patients who were followed up after 800,250 baseline periods of stable opioid dosing. During a mean follow-up of 9.1 months, unadjusted disenrollment rates among primary commercial beneficiaries and Medicare Advantage enrollees were 37.2 and 13.9 per 100 person-years, respectively. Incident overdoses were associated with subsequent health plan disenrollment with a statistically significantly stronger association among primary commercial insurance beneficiaries [adjusted incidence rate ratio (aIRR) 1.48 (95% CI: 1.33-1.64)] as compared to Medicare Advantage enrollees [aIRR 1.15 (95% CI: 1.07-1.23)]. CONCLUSIONS: Among patients prescribed long-term opioids, overdose events were strongly associated with subsequent health plan disenrollment, especially among primary commercial insurance beneficiaries. These findings raise concerns about the social consequences of overdose, including potential health insurance loss, which may limit patient access to care at a time of heightened vulnerability.

Profits over care? An analysis of the relationship between corporate capitalism in the healthcare industry and cancer mortality in the United States.

The characteristic features of 21st-century corporate capitalism - monopoly and financialization - are increasingly being recognized by public health scholars as undermining the foundations of human health. While the "vectors" through which this is occurring are well known - poverty, inequality, climate change among others - locating the root cause of this process in the nature and institutions of contemporary capitalism is relatively new. Researchers have been somewhat slow to study the relationship between contemporary capitalism and human health. In this paper, we focus on one of the leading causes of death in the United States; cancer, and empirically estimate the relationship between various measures of financialization and monopoly in the US healthcare system and cancer mortality. The measures we focus on are for the hospital industry, the health insurance industry, and the pharmaceutical industry. Using a fixed effects model with different specifications and control variables, our analysis is at the state level for the years 2012-2019. These variables include data on population demographic controls, social and economic factors, and health behavior and clinical care. We compare Medicaid expansion states with non-Medicaid expansion states to investigate variations in state-level funded health insurance coverage. The results show a statistically significant positive correlation between the HHI index in the individual healthcare market and cancer mortality and the opioid dispensing rate and cancer mortality.

Enhancing pooling levels strengthens the risk resilience of healthcare insurance: a case study of basic medical insurance fund operations data in Gansu, China.

BACKGROUND: In China, enhancing the pooling levels of basic health insurance has consistently been regarded as a pivotal measure to promote the refinement of the healthcare insurance system. From 2020 to 2022, the widespread outbreak of COVID-19 posed new challenges to China's basic health insurance. METHODS: The research utilizes Data Envelopment Analysis (DEA), Malmquist index assessment, and fixed-effects panel Tobit models to analyze panel data from 2020 to 2022, assessing the efficiency of basic health insurance in Gansu Province. RESULTS: From 2020 to 2022, the average overall efficiency of the municipal pooling of Basic Medical Insurance for Urban and Rural Residents was 0.941, demonstrating a stable trend with a modest increase. The efficiency frontier regions have expanded from 5 (35.71%) to 7 (50%). Operational efficiency exhibited a negative correlation with per capita hospitalization expenses and per capita fund balance but a positive correlation with per capita accumulated fund balance and reimbursement rates for hospitalized patients. In 2021, compared to 2020, the county-pooling Basic Medical Insurance for Urban Employees saw a decline of 0.126 in overall efficiency, reducing the efficiency frontier regions from 8 to 3. However, from 2021 to 2022, the municipal-coordinated Basic Medical Insurance for Urban Employees experienced a 0.069 increase in overall efficiency, with the efficiency frontier regions expanding from 3 to 5. Throughout 2020 to 2022, the operational efficiency of the Urban Employee Basic Medical Insurance showed a consistent negative correlation with per capita fund balance. CONCLUSION: From 2020 to 2022, the overall operational performance of basic health insurance in Gansu Province was satisfactory, and enhancing the pooling level is beneficial in addressing the impact of unforeseen events on the health insurance system.

Factors Associated with Insured Children's Use of Physician Visits, Dentist Visits, Hospital Care, and Prescribed Medications in the United States: An Application of Behavioral Model of Health-Services Use.

This study is the first to examine factors in the utilization of physician services, dentist services, hospital care, and prescribed medications focusing exclusively on insured children in the United States. Data describing 48,660 insured children were extracted from the 2021 National Survey of Children's Health. Children in the present sample were covered by private health insurance, public health insurance, or other health insurance. Logistic regression results showed self-reported health to be negatively associated with physician visits, hospital-care use, and prescription use, but teeth condition to be positively associated with dentist visits. Physician visits were associated negatively with age, Hispanic ethnicity, Asian ethnicity, family income at or below 200% of the federal poverty level, and other health insurance, but positively with parental education and metropolitan residency. Dentist visits were associated positively with girls, age, and parental education, but negatively with Asian ethnicity and public health insurance. Use of hospital care was associated negatively with age and Asian ethnicity, but positively with parental education and public health insurance. Use of prescriptions was associated positively with age, Black ethnicity, parental education, and public health insurance, but negatively with Hispanic ethnicity, Asian ethnicity, and family income at or below 200% of the federal poverty level. Implications included the expansion of public health insurance, promotion of awareness of medicine discount programs, and understanding of racial/ethnic minorities' cultural beliefs in health and treatment.

Influence of Health Insurance Types on Clinical Cancer Care Accessibility and Quality Using All of Us Database.

Background and Objectives: Cancer, as the second leading cause of death in the United States, poses a huge healthcare burden. Barriers to access to advanced therapies influence the outcome of cancer treatment. In this study, we examined whether insurance types affect the quality of cancer clinical care. Materials and Methods: Data for 13,340 cancer patients with Purchased or Medicaid insurance from the All of Us database were collected for this study. The chi-squared test of proportions was employed to determine the significance of patient cohort characteristics and the accessibility of healthcare services between the Purchased and Medicaid insurance groups. Results: Cancer patients who are African American, with lower socioeconomic status, or with lower educational attainment are more likely to be insured by Medicaid. An analysis of the survey questions demonstrated the relationship between income and education level and insurance type, as Medicaid cancer patients were less likely to receive primary care and specialist physician access and more likely to request lower-cost medications. Conclusions: The inequities of the US healthcare system are observed for cancer patient care; access to physicians and medications is highly varied and dependent on insurance types. Socioeconomic factors further influence insurance types, generating a significant impact on the overall clinical care quality for cancer patients that eventually determines treatment outcomes and the quality of life.

Mortality and morbidity ramifications of proposed retractions in healthcare coverage for the United States.

In the absence of universal healthcare in the United States, federal programs of Medicaid and Medicare are vital to providing healthcare coverage for low-income households and elderly individuals, respectively. However, both programs are under threat, with either enacted or proposed retractions. Specifically, raising Medicare age eligibility and the addition of work requirements for Medicaid qualification have been proposed, while termination of continuous enrollment for Medicaid was recently effectuated. Here, we assess the potential impact on mortality and morbidity resulting from these policy changes. Our findings indicate that the policy change to Medicare would lead to over 17,000 additional deaths among individuals aged 65 to 67 and those to Medicaid would lead to more than 8,000 deaths among those under the age of 65. To illustrate the implications for morbidity, we further consider a case study among those people with diabetes who would be likely to lose their health insurance under the policy changes. We project that these insurance retractions would lead to the loss of coverage for over 700,000 individuals with diabetes, including more than 200,000 who rely on insulin.

Small for Gestational Age Newborns in French Guiana: The Importance of Health Insurance for Prevention.

Objectives: Small for gestational age (SGA) newborns have a higher risk of poor outcomes. French Guiana (FG) is a territory in South America with poor living conditions. The objectives of this study were to describe risk factors associated with SGA newborns in FG. Methods: We used the birth cohort that compiles data from all pregnancies that ended in FG from 2013 to 2021. We analysed data of newborns born after 22 weeks of gestation and/or weighing more than 500 g and their mothers. Results: 67,962 newborns were included. SGA newborns represented 11.7% of all newborns. Lack of health insurance was associated with SGA newborns (p < 0.001) whereas no difference was found between different types of health insurance and the proportion of SGA newborns (p = 0.86). Mothers aged less than 20 years (aOR = 1.65 [1.55-1.77]), from Haiti (aOR = 1.24 [1.11-1.39]) or Guyana (aOR = 1.30 [1.01-1.68]) and lack of health insurance (aOR = 1.24 [1.10-1.40]) were associated with SGA newborns. Conclusion: Immigration and precariousness appear to be determinants of SGA newborns in FG. Other studies are needed to refine these results.

Does the increase in health insurance benefits have different effects on the health of middle-aged and older people individuals in rural areas? Analysis based on quantile difference-in-differences method.

In the context of healthy aging, enhancing health performance is an intrinsic requirement for the development and reform of the health insurance system. This paper mainly discusses the health effects of increasing medical insurance benefits on people with different levels of health. So this paper utilizes multiple rounds of data from the China Health and Retirement Longitudinal Study (CHARLS) and employs the quantile difference-in-differences method to systematically investigate the impact effects of the integration of urban and rural residents' health insurance on the frailty levels of rural middle-aged and older people individuals. The research findings are as follows: Firstly, the integration of urban and rural resident health insurance has mitigated the frailty level of rural older people individuals, with a more pronounced impact on those with poorer health statuses. Secondly, in terms of heterogeneity analysis, the health performance effects of the urban-rural health insurance integration policy are more significant among the older people population and in the western regions. Thirdly, the integration of urban and rural resident health insurance primarily improves health by reducing the burden of medical expenses, with a greater impact on the older people population with poorer health statuses. Based on the research findings, we recommend addressing the disparities in healthcare benefits across various insurance systems, alleviating the financial burden of healthcare for impoverished individuals, and consistently improving the coordination of healthcare insurance policies for both urban and rural residents.

Use of telemedicine to obtain contraception among young adults: Inequities by health insurance.

OBJECTIVES: The objective of this study was to describe the use of telemedicine for contraception in a sample of young adults and examine differences by health insurance coverage. STUDY DESIGN: We analyzed survey data collected from May 2020 to July 2022 from individuals at risk of pregnancy aged 18 to 29 recruited at 29 community colleges in California and Texas. We used multivariable mixed-effects logistic regression models with random effects for site and individual to compare the use of telemedicine to obtain contraception by insurance status, sociodemographic characteristics, and state. RESULTS: Our analytic sample included 6465 observations from 1630 individuals. Participants reported using a contraceptive method obtained through telemedicine in just 6% of observations. Uninsured participants were significantly less likely than those privately insured to use contraception obtained through telemedicine (adjusted odds ratio [aOR], 0.54; 95% confidence interval [CI], 0.31-0.97), as were participants who did not know their insurance status (aOR, 0.54; 95% CI, 0.29-0.99). Texas participants were less likely to use contraception obtained via telemedicine than those in California (aOR, 0.42; CI: 0.25-0.69). CONCLUSIONS: Few young people in this study obtained contraception through telemedicine, and insurance was crucial for access in both states. IMPLICATIONS: Although telemedicine holds promise for increasing contraceptive access, we found that few young adults were using it, particularly among the uninsured. Efforts are needed to improve young adults' access to telemedicine for contraception and address insurance disparities.

Site-specific patterns of early-stage cancer diagnosis during the COVID-19 pandemic.

The COVID-19 pandemic caused widespread disruptions in cancer care. We hypothesized that the greatest disruptions in diagnosis occurred in screen-detected cancers. We identified patients (≥18 years of age) with newly diagnosed cancer from 2019 to 2020 in the US National Cancer Database and calculated the change in proportion of early-stage to late-stage cancers using a weighted linear regression. Disruptions in early-stage diagnosis were greater than in late-stage diagnosis (17% vs 12.5%). Melanoma demonstrated the greatest relative decrease in early-stage vs late-stage diagnosis (22.9% vs 9.2%), whereas the decrease was similar for pancreatic cancer. Compared with breast cancer, cervical, melanoma, prostate, colorectal, and lung cancers showed the greatest disruptions in early-stage diagnosis. Uninsured patients experienced greater disruptions than privately insured patients. Disruptions in cancer diagnosis in 2020 had a larger impact on early-stage disease, particularly screen-detected cancers. Our study supports emerging evidence that primary care visits may play a critical role in early melanoma detection.

Financial toxicity among patients undergoing resectional surgery for inflammatory bowel disease in the United States.

AIM: Financial toxicity describes the financial burden and distress that patients experience due to medical treatment. Financial toxicity has yet to be characterized among patients with inflammatory bowel disease (IBD) undergoing surgical management of their disease. This study investigated the risk of financial toxicity associated with undergoing surgery for IBD. METHODS: This study used a retrospective analysis using the National Inpatient Sample from 2015 to 2019. Adult patients who underwent IBD-related surgery were identified using the International Classification of Diseases (10th Revision) diagnostic and procedure codes and stratified into privately insured and uninsured groups. The primary outcome was risk of financial toxicity, defined as hospital admission charges that constituted 40% or more of patient's post-subsistence income. Secondary outcomes included total hospital admission cost and predictors of financial toxicity. RESULTS: The analytical cohort consisted of 6412 privately insured and 3694 uninsured patients. Overall median hospital charges were $21 628 (interquartile range $14 758-$35 386). Risk of financial toxicity was 86.5% among uninsured patients and 0% among insured patients. Predictors of financial toxicity included emergency admission, being in the lowest residential income quartile and having ulcerative colitis (compared to Crohn's disease). Additional predictors were being of Black race or male sex. CONCLUSION: Financial toxicity is a serious consequence of IBD-related surgery among uninsured patients. Given the pervasive nature of this consequence, future steps to support uninsured patients receiving surgery, in particular emergency surgery, related to their IBD are needed to protect this group from financial risk.

Effects of private health insurance on waiting time in public hospitals.

The Australian government pays $6.7 billion per year in rebates to encourage Australians to purchase private health insurance (PHI) and an additional $6.1 billion to cover services provided in private hospitals. What is the justification for large government subsidies to a private industry when all Australians already have free coverage under Medicare? The government argues that more people buying PHI will relieve the burden on the public system and may reduce waiting times. However, the evidence supporting this is sparse. We use an instrumental variable approach to study the causal effects of higher PHI coverage in the area on waiting times in public hospitals in the same area. The instrument used is area-level average house prices, which correlate with average income and wealth, thus influencing the purchase of PHI due to tax incentives, but not directly affecting waiting times in public hospitals. We use 2014-2018 hospital admission and elective surgery waiting list data linked at the patient level from the Victorian Center for Data Linkage. These data cover all inpatient admissions in all hospitals in Victoria (both public and private hospitals) and those registered on the waiting list for elective surgeries in public hospitals in Victoria. We find that one percentage point increase in PHI coverage leads to about 0.34 days (or 0.5%) reduction in waiting times in public hospitals on average. The effects vary by surgical specialities and age groups. However, the practical significance of this effect is limited, if not negligible, despite its statistical significance. The small effect suggests that raising PHI coverage with the aim to taking the pressure off the public system is not an effective strategy in reducing waiting times in public hospitals. Alternative policies aiming at improving the efficiency of public hospitals and advancing equitable access to care should be a priority for policymakers.

Hospitalisation and mortality among privately insured individuals with COVID-19 in the United States: The role of intellectual disabilities and Neurogenetic disorders.

BACKGROUND: Individuals with intellectual disabilities (IDs) and neurogenetic conditions (IDNDs) are at greater risk for comorbidities that may increase adverse outcomes for this population when they have coronavirus disease 2019 (COVID-19). The study aims are to examine the population-level odds of hospitalisation and mortality of privately insured individuals with COVID-19 with and without IDNDs IDs, controlling for sociodemographics and comorbid health conditions. METHODS: This is a retrospective, cross-sectional study of 1174 individuals with IDs and neurogenetic conditions within a population of 752 237 de-identified, privately insured, US patients diagnosed with COVID-19 between February 2020 and September 2020. Odds of hospitalisation and mortality among COVID-19 patients with IDNDs adjusted for demographic characteristics, Health Resources and Services Administration region, states with Affordable Care Act and number of comorbid health conditions were analysed. RESULTS: Patients with IDNDs overall had higher rates of COVID-19 hospitalisation than those without IDNDs (35.01% vs. 12.65%, P < .0001) and had higher rates of COVID-19 mortality than those without IDNDs (4.94% vs. .88%, P < .0001). Adjusting for sociodemographic factors only, the odds of being hospitalised for COVID-19 associated with IDNDs was 4.05 [95% confidence interval (CI) 3.56-4.61]. Adjusting for sociodemographic factors and comorbidity count, the odds of hospitalisation for COVID-19 associated with IDNDs was 1.42 (95% CI 1.25-1.61). The odds of mortality from COVID-19 for individuals with IDNDs adjusted for sociodemographic factors only was 4.65 (95% CI 3.47-6.24). The odds of mortality from COVID-19 for patients with IDNDs adjusted for sociodemographic factors and comorbidity count was 2.70 (95% CI 2.03-3.60). A major finding of the study was that even when considering the different demographic structure and generally higher disease burden of patients with IDNDs, having a IDND was an independent risk factor for increased hospitalisation and mortality compared with patients without IDNDs. CONCLUSIONS: Individuals with IDNDs had significantly higher odds of hospitalisation and mortality after adjusting for sociodemographics. Results remained significant with a slight attenuation after adjusting for sociodemographics and comorbidities. Adjustments for comorbidity count demonstrated a dose-response increase in odds of both hospitalisation and mortality, illustrating the cumulative effect of health concerns on COVID-19 outcomes. Together, findings highlight that individuals with IDNDs experience vulnerability for negative COVID-19 health outcomes with implications for access to comprehensive healthcare.