Using Insurance Claims Data to Estimate Blastomycosis Incidence, Vermont, USA, 2011-2020.

The epidemiology of blastomycosis in Vermont, USA, is poorly understood. Using insurance claims data, we estimated the mean annual blastomycosis incidence was 1.8 patients/100,000 persons during 2011-2020. Incidence and disease severity were highest in north-central counties. Our findings highlight a need for improved clinical awareness and expanded surveillance.

Linking Trauma Registry Patients With Insurance Claims: Creating a Longitudinal Patient Record.

INTRODUCTION: Trauma registries and their quality improvement programs only collect data from the acute hospital admission, and no additional information is captured once the patient is discharged. This lack of long-term data limits these programs' ability to affect change. The goal of this study was to create a longitudinal patient record by linking trauma registry data with third party payer claims data to allow the tracking of these patients after discharge. METHODS: Trauma quality collaborative data (2018-2019) was utilized. Inclusion criteria were patients age ≥18, ISS ≥5 and a length of stay ≥1 d. In-hospital deaths were excluded. A deterministic match was performed with insurance claims records based on the hospital name, date of birth, sex, and dates of service (±1 d). The effect of payer type, ZIP code, International Classification of Diseases, Tenth Revision, Clinical Modification diagnosis specificity and exact dates of service on the match rate was analyzed. RESULTS: The overall match rate between these two patient record sources was 27.5%. There was a significantly higher match rate (42.8% versus 6.1%, P < 0.001) for patients with a payer that was contained in the insurance collaborative. In a subanalysis, exact dates of service did not substantially affect this match rate; however, specific International Classification of Diseases, Tenth Revision, Clinical Modification codes (i.e., all 7 characters) reduced this rate by almost half. CONCLUSIONS: We demonstrated the successful linkage of patient records in a trauma registry with their insurance claims. This will allow us to the collect longitudinal information so that we can follow these patients' long-term outcomes and subsequently improve their care.

Androgen deprivation therapy-related fracture risk in prostate cancer: an insurance claims database study in Japan.

INTRODUCTION: Androgen deprivation therapy (ADT) is widely used for the treatment of prostate cancer. ADT is associated with reduced bone density leading to an increased risk of osteoporotic fracture. The objective of this retrospective cohort study was to quantify fracture risk in men treated with ADT for prostate cancer in real-world practice in Japan. MATERIALS AND METHODS: Data were extracted from the Japanese Medical Data Vision (MDV) database. Men initiating ADT for treatment of prostate cancer between April 2010 and March 2021 were identified and matched to a cohort of prostate cancer patients not taking ADT using a propensity score. Fracture rates were estimated by a cumulative incidence function and compared between cohorts using a Cox cause-specific hazard model. Information was extracted on demographics, comorbidities and bone densitometry. RESULTS: 30,561 men with PC starting ADT were matched to 30,561 men with prostate cancer not treated with ADT. Following ADT initiation, <5% of men underwent bone densitometry. Prescription of ADT was associated with an increased fracture risk compared to not taking ADT (adjusted hazard ratio: 1.63 [95% CI 1.52-1.75]). CONCLUSION: ADT is associated with a 1.6-fold increase in the risk of osteoporotic fracture in men with prostate cancer. Densitometry in this population is infrequent and monitoring urgently needs to be improved in order to implement effective fracture prevention.

The chytrid insurance hypothesis: integrating parasitic chytrids into a biodiversity-ecosystem functioning framework for phytoplankton-zooplankton population dynamics.

In temperate lakes, eutrophication and warm temperatures can promote cyanobacteria blooms that reduce water quality and impair food-chain support. Although parasitic chytrids of phytoplankton might compete with zooplankton, they also indirectly support zooplankton populations through the "mycoloop", which helps move energy and essential dietary molecules from inedible phytoplankton to zooplankton. Here, we consider how the mycoloop might fit into the biodiversity-ecosystem functioning (BEF) framework. BEF considers how more diverse communities can benefit ecosystem functions like zooplankton production. Chytrids are themselves part of pelagic food webs and they directly contribute to zooplankton diets through spore production and by increasing host edibility. The additional way that chytrids might support BEF is if they engage in "kill-the-winner" dynamics. In contrast to grazers, which result in "eat-the-edible" dynamics, kill-the-winner dynamics can occur for host-specific infectious diseases that control the abundance of dominant (in this case inedible) hosts and thus limit the competitive exclusion of poorer (in this case edible) competitors. Thus, if phytoplankton diversity provides functions, and chytrids support algal diversity, chytrids could indirectly favour edible phytoplankton. All three mechanisms are linked to diversity and therefore provide some "insurance" for zooplankton production against the impacts of eutrophication and warming. In our perspective piece, we explore evidence for the chytrid insurance hypothesis, identify exceptions and knowledge gaps, and outline future research directions.

Predicting risk of suicidal behavior from insurance claims data vs. linked data from insurance claims and electronic health records.

PURPOSE: Observational studies assessing effects of medical products on suicidal behavior often rely on health record data to account for pre-existing risk. We assess whether high-dimensional models predicting suicide risk using data derived from insurance claims and electronic health records (EHRs) are superior to models using data from insurance claims alone. METHODS: Data were from seven large health systems identified outpatient mental health visits by patients aged 11 or older between 1/1/2009 and 9/30/2017. Data for the 5 years prior to each visit identified potential predictors of suicidal behavior typically available from insurance claims (e.g., mental health diagnoses, procedure codes, medication dispensings) and additional potential predictors available from EHRs (self-reported race and ethnicity, responses to Patient Health Questionnaire or PHQ-9 depression questionnaires). Nonfatal self-harm events following each visit were identified from insurance claims data and fatal self-harm events were identified by linkage to state mortality records. Random forest models predicting nonfatal or fatal self-harm over 90 days following each visit were developed in a 70% random sample of visits and validated in a held-out sample of 30%. Performance of models using linked claims and EHR data was compared to models using claims data only. RESULTS: Among 15 845 047 encounters by 1 574 612 patients, 99 098 (0.6%) were followed by a self-harm event within 90 days. Overall classification performance did not differ between the best-fitting model using all data (area under the receiver operating curve or AUC = 0.846, 95% CI 0.839-0.854) and the best-fitting model limited to data available from insurance claims (AUC = 0.846, 95% CI 0.838-0.853). Competing models showed similar classification performance across a range of cut-points and similar calibration performance across a range of risk strata. Results were similar when the sample was limited to health systems and time periods where PHQ-9 depression questionnaires were recorded more frequently. CONCLUSION: Investigators using health record data to account for pre-existing risk in observational studies of suicidal behavior need not limit that research to databases including linked EHR data.

Incidence and Prevalence of Epilepsy in Japan: A Retrospective Analysis of Insurance Claims Data of 9,864,278 Insured Persons.

INTRODUCTION: The burden of epilepsy is thought to be high but is difficult to measure. Very few studies in Japan have attempted to estimate prevalence and incidence rates of epilepsy in Japan. METHODS: This retrospective cohort study used commercially collected nationwide insurance claims data from a cohort of 10 million persons between 2012 and 2019 among those aged 0 to 74 years. Using the claims data, cases were identified, and incidence and prevalence rates were estimated. RESULTS: A total of 9,864,278 persons were included. The average age was 34.5 (standard deviation, 18.5) years. A total of 77,312 persons were diagnosed with epilepsy over the 8-year observation period, with a prevalence rate of 6.0 per 1,000 persons with almost no difference by gender. The highest rates were seen among those aged 70-74 years; prevalence rates tended to rise with calendar year (5.4/1,000 in 2012 and 6.0/1,000 in 2019). The incidence rate of epilepsy was 72.1 per 100,000 person-years with slightly higher rates seen among females. Incidence rates were highest at ages less than 12 months (199.8/100,000 person-years), followed by the eldest age group (70-74 years, 179.4/100,000 person-years). CONCLUSION: Understanding the magnitude of disease burden is the basis of determining health policies. In this study, the prevalence and incidence of epilepsy in Japan was shown based on the analysis results of a large-scale general population insurance claims data covering all over Japan.

Injury-related emergency department use among people with intellectual and developmental disabilities insured by Medicaid from 2010 to 2016.

OBJECTIVES: Data on non-fatal injuries and visits to the emergency department (ED) for injuries are not readily available. The objective of this paper is to describe injury-related ED visits for people with intellectual and developmental disabilities who are covered by the Medicaid insurance programme. METHODS: We aggregated 2010-2016 Medicaid claims data from eight states. Using these data, we identified individuals with intellectual and developmental disabilities and then determined an all-cause ED visit rate, ED visit due to injury rate and admission from ED due to injury rate. Data were stratified by sex and age group. Results were compared with national rates. RESULTS: Medicaid members with intellectual and developmental disabilities visited EDs at approximately 1.8 times the rate of the general population. The ED visit rate due to injury was approximately 1.5 times that observed in the population overall. When ED visits due to injury data were stratified by age and sex, the largest discrepancy was observed in women ages 45-64, who visited EDs due to injury at a rate 2.1 times that of women of the same age in the general population. The admission rate from ED due to injury increased over the study period most notably in the older age groups. CONCLUSIONS: While rates and patterns of ED utilisation among Medicaid members with intellectual and developmental disabilities vary by age and gender, our findings suggest this group visits the ED due to injury at rates well above the general population.

What are people's attitudes toward medical insurance fraud whistleblowers? a study from China.

PURPOSE: Medical insurance fraud has caused huge losses to countries around the world, and public reporting has become an important means to combat medical insurance fraud. The attitude of medical insurance fraud whistleblowers affects people's reporting behavior, and understanding people's attitude toward medical insurance fraud whistleblowers provides a basis for further improving the system and policy of public participation in medical insurance fund supervision. METHODS: We adopted the questionnaire method to conduct a national cross-sectional survey of the Chinese public and analyzed the data using Chi-square tests, Fisher's exact tests, and binary logistic regression models. RESULTS: A total of 837 respondents were included, and 81.8% of the population had a supportive attitude toward medical insurance fraud whistleblowers, with gender, whether they had used medical insurance reimbursement, and present life satisfaction being statistically significant (P < 0.05). CONCLUSION: The public is generally supportive of medical insurance fraud whistleblowers, and women, those who have used medical insurance for reimbursement, and those who are satisfied with their lives are more likely to be supportive of medical insurance fraud whistleblowers.

Sequences of vocational rehabilitation services in Germany: a cohort study.

BACKGROUND: This study aimed to describe sequences of vocational rehabilitation services among individuals with approved vocational rehabilitation in Germany and to identify typical service sequences. METHODS: We used administrative data on vocational rehabilitation services and questionnaire data on health and work ability to describe frequencies and sequences of vocational rehabilitation services financed by the Federal German Pension Insurance. Through sequence analysis, we were able to map the service sequences. We did cluster analyses to identify typical different service sequences. RESULTS: Our sample included 1,652 individuals with 2,584 services. Integration services and two-year vocational retraining were the most common services. We could identify three different service clusters around integration services: shorter ones, followed by employer benefits and without employer benefits. We found two different clusters around two-year vocational retraining: shorter and longer clusters. Two-year vocational retraining was more often initiated by preparatory services and followed by employer benefits than integration services. Longer services in both clusters were associated with better baseline data for physical health, work ability, risk of future work disability, and younger age than shorter services. People in two-year-vocational retraining reported at baseline better general health, better work ability, low risk of future work disability, and less mental illness compared to people in integration services. CONCLUSIONS: Multiple services, that is, sequences of services, were more likely to occur among individuals with more complex services like two-year vocational retraining. Utilization of complex services and longer services was influenced by health, age, risk of future work disability, and education. TRIAL REGISTRATION: German Clinical Trials Register DRKS00009910, registration 25/01/2016.

Impact of medical insurance access negotiation on the utilization of innovative anticancer drugs in China: an interrupted time series analysis.

BACKGROUND: The high costs of innovative anticancer drugs hinder a number of cancer patients' access to these drugs in China. To address this problem, in 2018, the medical insurance access negotiation (MIAN) policy was implemented, when the prices of 17 innovative anticancer drugs were successfully negotiated and they were therefore included in the reimbursement list. This study aimed to explore the impact of the MIAN policy on the utilization of innovative anticancer drugs. METHODS: With monthly data on drug expenditures and defined daily doses (DDDs) of each innovative anticancer drug from January 2017 to December 2019, interrupted time series analysis was employed to estimate both the instant (change in the level of outcome) and long-term (change in trends of outcomes) impacts of the MIAN policy on drug utilization in terms of drug expenditures and DDDs. Our sample consists of 12 innovative anticancer drugs. RESULTS: From January 2017 to December 2019, the monthly drug expenditures and DDDs of 12 innovative anticancer drugs increased by about 573% (from US$8,931,809.30 to US$51,138,331.09) and 1400% (from 47,785 to 668,754), respectively. Overall, the implementation of the MIAN policy led to instant substantial increases of US$8,734,414 in drug expenditures and 158,192.5 in DDDs. Moreover, a sharper upward trend over time was reported, with increases of US$2,889,078 and 38,715.3 in the monthly growth rates of drug expenditures and DDDs, respectively. Regarding individual innovative anticancer drugs, the most prominent instant change and trend change in drug utilization were found for osimertinib, crizotinib, and ibrutinib. In contrast, the utilization of pegaspargase was barely affected by the MIAN policy. CONCLUSIONS: The MIAN policy has effectively promoted the utilization of innovative anticancer drugs. To ensure the continuity of the effects and eliminate differentiation, supplementary measures should be carried out, such as careful selection of drugs for medical insurance negotiations, a health technology assessment system and a multichannel financing mechanism.

Insights into the complementarity of natural disaster insurance purchases and risk reduction behavior.

While flooding is the costliest natural disaster risk, public-sector investments provide incomplete protection. Moreover, individuals are in general reluctant to voluntarily invest in measures which limit damage costs from natural disasters. The moral hazard hypothesis argues that insured individuals take fewer other preparedness measures based on their assumption that their losses will be covered anyway. Conversely, the advantageous selection hypothesis argues that individuals view insurance and other risk reduction measures as complements. This study offers a comprehensive assessment of factors related to the separate uptake of natural disaster insurance and the flood-proofing of homes as well as why people may take both of these measures together. We use data from a survey conducted in Paris, France, in 2018, after several flood events, for a representative sample of 2976 residents facing different levels of flood risk. We perform both main effects regressions and interaction analyses to reveal that home adaptation to flooding is positively associated with comprehensive insurance coverage, which includes financial protection against natural disasters. Furthermore, actual and perceived risks, as well as awareness of official information on flood risk, are found to explain some of the relationship between home adaptation and comprehensive insurance purchase. We suggest several recommendations to policymakers based on these insights which aim to address insurance coverage gaps and the failure to take disaster risk reduction measures. In particular, groups in socially vulnerable situations may benefit from subsidized insurance, low interest loans, and decision aids to implement costly adaptation measures.

Socioeconomic, Racial, and Insurance Disparities in Clinical Outcomes After Surgery Among Patients With Idiopathic Scoliosis.

BACKGROUND: Socioeconomic status (SES), race, and insurance type correlate with initial curve severity for patients with idiopathic scoliosis, but less is known regarding how these variables impact surgical outcomes. The objectives of this study were to determine the influence of SES, race, and insurance on preoperative appointment attendance, likelihood of obtaining a preoperative second opinion, brace prescription, missed 6 or 12-month postsurgical appointments, incidence of emergency department visits 0 to 90 days after surgery, and major complications within a year of surgery. METHODS: A review of 421 patients diagnosed with idiopathic scoliosis who underwent surgery at a single high-volume pediatric spinal deformity institution between May 2015 and October 2021 was conducted. Area Deprivation Index, a quantitative measure of SES, was collected. Scores were stratified by quartile; higher scores indicated a lower SES. χ 2 tests for correlation were performed to determine whether clinical outcomes were dependent upon Area Deprivation Index, race, or insurance type; P ≤0.05 was significant. RESULTS: The sample was 313 Caucasian (74%), 69 (16%) black, and 39 (9.3%) other patients. More patients had private versus public insurance (80% vs 20%) and were of higher SES. The likelihood of missing preoperative appointments was higher for black patients ( P = 0.037). Those with lower SES missed more postoperative appointments and received less bracing and second opinions ( P = 0.038, P = 0.017, P = 0.008, respectively). Being black and publicly insured correlated with fewer brace prescriptions ( P < 0.001, P = 0.050) and decreased rates of obtaining second opinions ( P = 0.004,  P = 0.001). CONCLUSION: Patients with idiopathic scoliosis surgery who were Caucasian, privately insured, and of higher SES were more likely to seek preoperative second opinions, be prescribed a brace, and attend postoperative appointments. Recognition of the inherent health care disparities prevalent within each pediatric spine surgery referral region is imperative to better inform local and national institutional level programs to educate and assist patients and families most at risk for disparate access to scoliosis care. LEVEL OF EVIDENCE: Level III; retrospective case-control study.

[Determinants of use of rehabilitation services before entering disability pension: Time series analysis of insured members of the German Pension Insurance Federation in Berlin and Brandenburg]. / Determinanten zur Inanspruchnahme von Rehabilitationsleistungen vor Eintritt in die Erwerbsminderung: Zeitreihenanalyse von Versicherten der Deutschen Rentenversicherung Bund in Berlin und Brandenburg.

BACKGROUND: The age-standardized application rate for medical rehabilitation services of the German Pension Insurance Association has been declining since 2009. Two of the most frequent reasons for applying for rehabilitation services represent musculoskeletal disorders and mental disorders. The aim of this analysis was to identify factors influencing the utilization of rehabilitation services in the federal states of Berlin and Brandenburg. METHODS: The explorative time series analysis is based on a research dataset of the German Pension Insurance Federation. Insured persons of the German Pension Insurance Federation from the federal states of Berlin and Brandenburg with a diagnosis of musculoskeletal disorders or mental disorders were included. Descriptive differences in targeted and prognostic parameters were calculated using chi-square and t-test statistics. Predictive parameters for the utilization of medical rehabilitation services were calculated using binary, logistic regression analyses. RESULTS: A total of 11,257 insured cases were examined. For the population of insured persons from Berlin, the use of medical rehabilitation services showed significant prognostic variables for gender, age at retirement, marital status, level of education, occupational requirement level, total accumulated earning points, gross pension level, status of a temporary pension, health insurance status, and diagnosis group. For Brandenburg, significant prognostic variables were found for age at retirement, marital status, nationality, education level, occupational requirement level, total accumulated earning points, status of a temporary pension, occupational sector, and diagnosis group. CONCLUSION: In Berlin and Brandenburg mental disorders and sociodemographic parameters are associated with an increased probability of not claiming medical rehabilitation services before the onset of reduced earning capacity. It remains to be investigated which mechanisms cause people with mental disorders to make no use of medical rehabilitation services. Future analyses should examine isolated interaction mechanisms for the utilization of medical rehabilitation services, especially in the case of existing F-diagnoses. In addition, explanations for different influencing variables between states remain to be explored.

Empirical causal analysis of flood risk factors on U.S. flood insurance payouts:Implications for solvency and risk reduction.

This paper presents a regression model that quantifies the causal relationship between flood risk factors and the flood insurance payout in the U.S. The flood risk factors that have been considered in this research are flood exposure, infrastructure vulnerability, social vulnerability, and the number of mobile homes. Historical data for the annual flood insurance payout, flood risk factors, and other control variables were collected for six years between 2016 and 2021 and used in a Mixed Effects Regression model to derive the empirical relationships. The regression model expressed the natural logarithm of the annual flood insurance payout in a county based on the flood risk factors and control variables. The paper presents the regression coefficients that quantify the causal influence. It has been found that all four flood risk factors have statistically significant positive influence on the flood insurance payout in a county. However, the extent of the influence is different for different flood risk factors. Among them, flood exposure has the highest influence on the flood insurance payout, which is followed by the number of mobile homes, infrastructure vulnerability, and social vulnerability. Since the federal flood insurance program in the U.S. has a large debt to the U.S. treasury, the government should plan for effective risk reduction that can reduce the flood insurance payout in future to keep the program solvent. The outcomes of this research are expected to facilitate that decision-making process by providing the empirical relationship between flood risk factors and flood insurance payout.

Private Practice, Private Insurance, and Private Pay Mental Health Services: An Understudied Area in Implementation Science.

The private practice setting is understudied. Private practice includes settings in which mental health providers are unaffiliated with healthcare and hospital systems. Private practices may accept insurance (private and sometimes public) or no insurance (private pay). Increasing attention to this setting is critical to facilitating equitable access to mental health services, especially given enduring mental health workforce shortages and service waitlists. Further, there have been recent federal government calls to increase mental health and physical healthcare parity and to reduce out-of-pocket patient costs. Implementation science theories, models, frameworks, and methods can help illuminate determinants of private practice service availability and quality (e.g., evidence-based intervention delivery with fidelity), guide evaluation of implementation outcomes such as cost and acceptability of interventions to patients, and identify strategies to mitigate barriers to high-quality, affordable private practice services. This article suggests research questions to begin filling the private practice research gap using an implementation determinants framework - the Consolidated Framework for Implementation Research (CFIR) 2.0. Research questions are proposed across CFIR domains: outer context (e.g., policies impacting whether private practices accept insurance); individuals involved (e.g., provider professional experiences; direct-to-consumer marketing impacts on evidence-based intervention demand); innovation characteristics (e.g., appropriateness for private practice); inner context (e.g., organizational characteristics); and implementation processes (e.g., innovation sustainability). The illustrative research questions aim to begin a conversation amongst researchers and funders. Bringing an implementation science lens to the private practice context has the potential to improve the quality and affordability of mental health care for many.

[Swiss healthcare system: a bulimic machine]. / Système de santé suisse : une machine boulimique.

Healthcare costs are a sensitive issue in Switzerland, in particular because of the financial burden of insurance premiums on households. The amount of resources allocated and their significant and regular increase seem to be out of control. But what do these costs really represent? How do we fuel our "machine" and what is the combustion mechanism behind it? At a time when debates are often very much focused on individual interests, this article attempts to answer these questions and to examine the sustainability of a health policy that focuses above all on illness and the cost of care.

Les coûts de la santé sont un sujet sensible en Suisse, notamment du fait du poids financier des primes d'assurance qui pèse sur les ménages. Le montant des ressources allouées et leur augmentation significative et régulière semble non maîtrisable. Mais que représentent réellement ces coûts ? Comment alimente-t-on notre « machine ¼ et quelle est la mécanique de combustion qui se cache derrière ? À l'heure où les débats sont souvent très orientés autour des intérêts de chacun, cet article tente de répondre à ces questions et interroge la durabilité d'une politique de santé focalisée avant tout sur la maladie et le coût des soins.

Validation of Insurance Billing Codes for Monitoring Antenatal Screening.

BACKGROUND: Prevalence statistics for pregnancy complications identified through screening such as gestational diabetes usually assume universal screening. However, rates of screening completion in pregnancy are not available in many birth registries or hospital databases. We validated screening-test completion by comparing public insurance laboratory and radiology billing records with medical records at three hospitals in British Columbia, Canada. METHODS: We abstracted a random sample of 140 delivery medical records (2014-2019), and successfully linked 127 to valid provincial insurance billings and maternal-newborn registry data. We compared billing records for gestational diabetes screening, any ultrasound before 14 weeks gestational age, and Group B streptococcus screening during each pregnancy to the gold standard of medical records by calculating sensitivity and specificity, positive predictive value, negative predictive value, and prevalence with 95% confidence intervals (CIs). RESULTS: Gestational diabetes screening (screened vs. unscreened) in billing records had a high sensitivity (98% [95% CI = 93, 100]) and specificity (>99% [95% CI = 86, 100]). The use of specific glucose screening approaches (two-step vs. one-step) were also well characterized by billing data. Other tests showed high sensitivity (ultrasound 97% [95% CI = 92, 99]; Group B streptococcus 96% [95% CI = 89, 99]) but lower negative predictive values (ultrasound 64% [95% CI = 33, 99]; Group B streptococcus 70% [95% CI = 40, 89]). Lower negative predictive values were due to the high prevalence of these screening tests in our sample. CONCLUSIONS: Laboratory and radiology insurance billing codes accurately identified those who completed routine antenatal screening tests with relatively low false-positive rates.

Insurance Disparities in Access to Robotic Surgery for Colorectal Cancer.

BACKGROUND: The use of the robotic approach is increasing for colorectal cancer operations, but the added cost of the platform has the potential to introduce challenges in its dissemination. We hypothesized that adoption of the robot is introducing new disparities in access to minimally invasive surgery (MIS) for colorectal cancer, especially across patient insurance groups. METHODS: This cross-sectional study analyzed surgical cases of stage I-III colorectal cancer from the National Cancer Database (NCDB) between 2010 and 2019. The primary outcome was surgical approach (robotic, laparoscopic, or the composite "MIS"). The predictor was a patient's primary payor. Potential confounders included sociodemographics, tumor characteristics, and the facility. Hierarchical multivariable models were generated, and sensitivity analyses were performed. RESULTS: For colorectal cancer operations, the MIS approach increased from 39% in 2010 to 73% in 2019, driven predominantly by an increase in the robotic approach from 2 to 24%. For laparoscopy, the size of the disparity between patients with Private insurance and Medicaid shrank from 11% (2010) to 4% (2019), whereas this disparity increased for the robotic approach from 1% (2010) to 5% (2019). On adjusted analysis, patients with Medicaid (odds ratio [OR] 0.86 [CI 0.79-0.95]) and the Uninsured (OR 0.67 [CI 0.56-0.79]) had lower odds of receiving a robotic operation than those with Private insurance in 2019. This disparity remained consistent across five sensitivity analyses. CONCLUSIONS: As the field of colorectal cancer surgery shifts away from laparoscopy and toward robotics, new inequities across patient insurance are emerging. Proactive efforts are needed to ensure all patients benefit from a minimally invasive approach.

5-alpha reductase inhibitors (5-ARi) with or without alpha-blockers (α-B) for Benign Prostatic Hyperplasia do NOT lower the risk of incident Bladder Cancer: United States insurance claims data.

BACKGROUND: Chemoprotective effect of 5-alpha reductase inhibitors (5-ARi) on bladder cancer (BCa) risk in men with Benign Prostatic Hyperplasia (BPH) has been explored with conflicting results. We sought to examine the effect of 5-ARi on new BCa diagnoses in a large US database. METHODS: Men ≥ 50 y/o with a prescription for 5-ARi after BPH diagnosis were identified in the IBM® Marketscan® Research de-identified Databases between 2007 and 2016 and matched with paired controls. Incident BCa diagnoses were identified after BPH diagnosis and/or pharmacologic treatment. Multivariable regression modeling adjusting for relevant factors was implemented. Sub-group analyses by exposure risk were performed to explore the association between 5-ARi and BCa over time. Administration of alpha-blockers (α-B) w/o 5-ARi was also examined. RESULTS: In total, n = 24,036 men on 5-ARi, n = 107,086 on 5-ARi plus alpha-blockers, and n = 894,275 without medical therapy for BPH were identified. The percentage of men diagnosed with BCa was 0.8% for the 5-ARi, 1.4% for the 5-ARi + α-B, and 0.6% for the untreated BPH group of incident BCa (adjusted hazard ratio [aHR], 0.90, 95% confidence interval [CI] 0.56 - 1.47), and 1.08, 95%CI 0.89 - 1.30, respectively). This was also true at both shorter (≤ 2 yr) and longer-term (> 2 yr) follow up. In addition, α-B alone had no change in BCa risk (HR 1.06, 0.86-1.30). CONCLUSIONS: We did not find any diminished risk of new BCa in men treated with 5-ARi (i.e., chemoprotective effect). The current report suggests that 5-ARi do not change a man's bladder cancer risk.

Cost-utility analysis of semaglutide for type 2 diabetes after its addition to the National Medical Insurance System in China.

INTRODUCTION: The main research purpose is to compare the long-term cost-effectiveness of semaglutide (SEMA) with that of dulaglutide (DULA) for patients with inadequately controlled type 2 diabetes throughout their lifetime. If necessary, the second aim is to investigate a further price cut for SEMA to provide sound advice for government drug price adjustments. METHODS: Cost-utility analysis was performed by the United Kingdom Prospective Diabetes Study Outcomes Model 2 (UKPDS OM2) from the perspective of health care providers in China. Baseline characteristics and clinical efficacy of SEMA and DULA were sourced from the high-dose comparison in the SUSTAIN-7 trial. A binary search was used to identify the scope for further reduction in the price of SEMA. The impact of individual parameters was assessed with sensitivity analyses. RESULTS: Main analysis (SEMA vs. DULA) revealed a mean difference in quality-adjusted life years (QALYs) of 0.04 QALYs and costs of $1132.29. The incremental cost-utility ratio was $26 957.44/QALY, showing that SEMA was a better option compared with DULA. In sensitivity analyses, the discount rate made the greatest contribution to the incremental cost-utility ratio. In the binary search, there was still scope to reduce the SEMA cost further by approximately 6.83% to be cost-effective, taking DULA as a reference. CONCLUSION: After its addition to the National Medical Insurance System in China, SEMA is expected to be a cost-effective choice compared with DULA for patients with type 2 diabetes with inadequately controlled from the cost-utility analysis. However, there is still scope to reduce the annual cost of SEMA further.