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.

Characteristics of first-time users of the nursing small-scale multifunctional home care service: a pooled cross-sectional study using Japanese long-term care insurance claims data from 2012 to 2019.

OBJECTIVES: In April 2012, the Japanese government launched a new nursing service called the nursing small-scale multifunctional home care (NSMHC) to meet the nursing care demands of individuals with moderate-to-severe activities of daily living (ADLs) dysfunction and who require medical care, thereby allowing them to continue living in the community. We aimed to preliminarily analyse the characteristics of first-time users of NSMHC service. DESIGN: This pooled cross-sectional study used the Japanese long-term care insurance (LTCI) claims data from the users' first use of NSMHC (from April 2012 to December 2019). SETTING: NSMHC includes nursing home visits, home care, daycare, overnight stays and medical treatment. PARTICIPANTS: The study population included LTCI beneficiaries who received their first long-term care requirement certification in Japan from April 2012 onwards, died between April 2012 and December 2019, and used any LTCI service at least once. RESULTS: Among the 836 563 individuals who used any LTCI service at least once, 3957 (0.47%) used NSMHC. We analysed 3634 individuals without any missing data regarding long-term care requirement certification. Most individuals were aged 80 years or older, with 64.3% requiring care level 3 or above, indicating complete assistance with ADLs. Regarding ADLs in individuals with dementia, 70.6% were at level 2 or below, indicating they can live almost independently even with dementia. A large proportion of NSMHC users availed the service approximately 6 months before death, with no prior use of any LTCI services; they continued using the service for around 4 months, although some people continued to use NSMHC until their month of death. CONCLUSIONS: Using individual data on nationwide LTCI, we described the characteristics of first-time users of NSMHC among those who died within 7.5 years from the first certification of care needs. Further studies are needed to investigate the effect of NSMHC use on user outcomes.

Claims data analysis of provider-to-provider tele-mentoring program impact on opioid prescribing in Missouri.

OBJECTIVE: The objective of this study was to assess opioid prescribing patterns of primary care providers (PCPs) participating in a virtual tele-mentoring program for patients with chronic pain as compared to nonparticipants. DESIGN: We utilized Missouri Medicaid claims from 2013 to 2021 to compare opioid prescription dosages and daily supply of opioids prescribed by PCPs. Participants and nonparticipants were matched using propensity score matching. SETTING: Missouri Medicaid data were received through partnership with the Center for Health Policy's MO HealthNet Data Project, the state's leading provider of Medicaid data. PARTICIPANTS: Missouri-based prescribers. INTERVENTION: Show-Me Project Extension for Community Healthcare Outcomes (ECHO), an evidence-based provider-to-provider telehealth intervention that connects PCPs with a team of specialists. MAIN OUTCOME MEASURES: We compared the rate of prescription opioid >50 morphine milligram equivalents (MMEs), mean MMEs/day, and mean number of daily supply to understand the impact of the ECHO model on providers' opioid prescribing. RESULTS: Patients treated by ECHO providers have 33 percent lower odds of being prescribed opioid dose >50 MME/day (p < 0.001) compared to non-ECHO providers. There is also a 14 percent reduction in the average opioid dose prescribed to patients of ECHO providers (p < 0.001). We observed a 3 percent (p < 0.001) reduction in average daily supply of opioids among patients of ECHO providers compared to the comparison group. CONCLUSIONS: Pain Management ECHO supports PCPs with needed education and skills to provide specialty care in the management of pain conditions and safe prescribing of opioid medications.

Associations Between Neuroinflammation-Related Conditions and Alzheimer's Disease: A Study of US Insurance Claims Data.

Background: Early detection of Alzheimer's disease (AD) is a key component for the success of the recently approved lecanemab and aducanumab. Patients with neuroinflammation-related conditions are associated with a higher risk for developing AD. Objective: Investigate the incidence of AD among patients with neuroinflammation-related conditions including epilepsy, hemorrhage stroke, multiple sclerosis (MS), and traumatic brain injury (TBI). Methods: We used Optum's de-identified Clinformatics Data Mart Database (CDM). We derived covariate-matched cohorts including patients with neuroinflammation-related conditions and controls without the corresponding condition. The matched cohorts were: 1) patients with epilepsy and controls (N = 67,825 matched pairs); 2) patients with hemorrhage stroke and controls (N = 81,510 matched pairs); 3) patients with MS and controls (N = 9,853 matched pairs); and 4) patients TBI and controls (N = 104,637 matched pairs). We used the Cox model to investigate the associations between neuroinflammation-related conditions and AD. Results: We identified that epilepsy, hemorrhage stroke, and TBI were associated with increased risks of AD in both males and females (hazard ratios [HRs]≥1.74, p < 0.001), as well as in gender- and race-conscious subpopulations (HRs≥1.64, p < 0.001). We identified that MS was associated with increased risks of AD in both males and females (HRs≥1.47, p≤0.004), while gender- and race-conscious subgroup analysis shown mixed associations. Conclusions: Patients with epilepsy, hemorrhage stroke, MS, and/or TBI are associated with a higher risk of developing AD. More attention on cognitive status should be given to older patients with these conditions.

Cumulative incidence of cardiac surgery associated with exposure to benfluorex: A retrospective analysis based on compensation claims data.

Data on retrospective compensation claims for injuries caused by pharmaceutical drugs are prone to selection and reporting biases. Nevertheless, this case study of the antidiabetic drug benfluorex shows that such data can be used to estimate the cumulative incidence of drug-related injury, and to provide insights into its epidemiology. To this end, we develop a modelling framework for under-reporting of retrospective claims for compensation arising from drug damage. The model involves a longitudinal component related to attrition of cases over time, and a cross-sectional component related to incomplete reporting. We apply this model to cardiac valve surgery necessitated by exposure to benfluorex. Benfluorex was marketed in France between 1976 and 2009, when it was withdrawn because it caused valvular heart disease. A scandal erupted in 2010 over the scale of the damage caused by the drug. Since then, no further estimates of cumulative incidence have been published, though thousands of claims for compensation have been processed. The analysis combines compensation claims data and sociological survey data on benfluorex users, together with data on benfluorex sales and duration of treatment. We find a threshold of toxicity at about 6 months' exposure, and that at least 1690 individuals (95% CI 1290 to 2320) needed heart surgery to replace or repair valves damaged by exposure to benfluorex in France: a cumulative incidence of 3.68 per 10,000 (95% CI 2.68 to 5.34) benfluorex users or 3.22 per 10,000 (95% CI 2.48 to 4.39) person-years at risk above the exposure threshold. While these findings are tentative, they are consistent with those obtained previously using very different methods.

Collaborative artificial intelligence system for investigation of healthcare claims compliance.

Healthcare fraud, waste and abuse are costly problems that have huge impact on society. Traditional approaches to identify non-compliant claims rely on auditing strategies requiring trained professionals, or on machine learning methods requiring labelled data and possibly lacking interpretability. We present Clais, a collaborative artificial intelligence system for claims analysis. Clais automatically extracts human-interpretable rules from healthcare policy documents (0.72 F1-score), and it enables professionals to edit and validate the extracted rules through an intuitive user interface. Clais executes the rules on claim records to identify non-compliance: on this task Clais significantly outperforms two baseline machine learning models, and its median F1-score is 1.0 (IQR = 0.83 to 1.0) when executing the extracted rules, and 1.0 (IQR = 1.0 to 1.0) when executing the same rules after human curation. Professionals confirm through a user study the usefulness of Clais in making their workflow simpler and more effective.

Adherence and Persistence Among Risdiplam-Treated Individuals with Spinal Muscular Atrophy: A Retrospective Claims Analysis.

INTRODUCTION: Spinal muscular atrophy (SMA) is a neuromuscular disease caused by deletions and/or mutations in the survival of motor neuron 1 (SMN1) gene. Risdiplam, the first and only oral SMN2 pre-mRNA splicing modifier, is US Food and Drug Administration-approved for the treatment of pediatric and adult patients with SMA. For patients with SMA, long-term adherence to and persistence with an SMA treatment may be important for achieving maximum clinical benefits. However, real-world evidence on patient adherence to and persistence with risdiplam is limited. METHODS: This retrospective study examined real-world adherence and persistence with risdiplam from a specialty pharmacy in patients with SMA over a 12-month period. Adherence was estimated by using proportion of days covered (PDC) and was calculated over variable (time between first and last fill) and fixed (time from first fill to study period end) intervals. Persistence was defined as no gap in supply ≥ 90 days. Patients were included if the time between the index date and study observation period was ≥ 12 months, if they initiated risdiplam between August 2020 and September 2022, received ≥ 2 risdiplam fills, and had an SMA diagnosis associated with a risdiplam fill. Subgroup analyses of risdiplam adherence and persistence were performed by age and primary payer type. RESULTS: The proportion of patients (N = 1636) adherent at 12 months based on variable and fixed interval PDC was 93% and 79%, respectively. Adherence was high among patients on commercial insurance, Medicaid, or Medicare (range 86-96%). Mean persistence was 330.4 days. The highest proportion of patients who were persistent were on Medicaid (81%). CONCLUSION: These findings demonstrate that patient adherence to and persistence with risdiplam treatment were high, including across all subgroups tested.

Medical resource usage for COVID-19 evaluated using the National Database of Health Insurance Claims and Specific Health Checkups of Japan.

PURPOSE: The coronavirus disease 2019 (COVID-19) pandemic exhibited several different waves threatening global health care. During this pandemic, medical resources were depleted. However, the kind of medical resources provided to each wave was not clarified. This study aimed to examine the characteristics of medical care provision at COVID-19 peaks in preparation for the next pandemic. METHODS: Using medical insurance claim records in Japan, we examined the presence or absence of COVID-19 infection and the use of medical resources for all patients monthly by age group. RESULTS: The wave around August 2021 with the Delta strain had the strongest impact on the working population in terms of hospital admission and respiratory support. For healthcare providers, this peak had the highest frequency of severely ill patients. In the subsequent wave, although the number of patients with COVID-19 remained high, they were predominantly older adults, with relatively fewer patients receiving intensive care. CONCLUSIONS: In future pandemics, we should refer to the wave around August 2021 as a situation of medical resource shortage resulting from the COVID-19 pandemic.

Who is your prenatal care provider? An algorithm to identify the predominant prenatal care provider with claims data.

BACKGROUND: Using claims data to identify a predominant prenatal care (PNC) provider is not always straightforward, but it is essential for assessing access, cost, and outcomes. Previous algorithms applied plurality (providing the most visits) and majority (providing majority of visits) to identify the predominant provider in primary care setting, but they lacked visit sequence information. This study proposes an algorithm that includes both PNC frequency and sequence information to identify the predominant provider and estimates the percentage of identified predominant providers. Additionally, differences in travel distances to the predominant and nearest provider are compared. METHODS: The dataset used for this study consisted of 108,441 live births and 2,155,076 associated South Carolina Medicaid claims from 2015-2018. Analysis focused on patients who were continuously enrolled throughout their pregnancy and had any PNC visit, resulting in 32,609 pregnancies. PNC visits were identified with diagnosis and procedure codes and specialty within the estimated gestational age. To classify PNC providers, seven subgroups were created based on PNC frequency and sequence information. The algorithm was developed by considering both the frequency and sequence information. Percentage of identified predominant providers was reported. Chi-square tests were conducted to assess whether the probability of being identified as a predominant provider for a specific subgroup differed from that of the reference group (who provided majority of all PNC). Paired t-tests were used to examine differences in travel distance. RESULTS: Pregnancies in the sample had an average of 7.86 PNC visits. Fewer than 30% of the sample had an exclusive provider. By applying PNC frequency information, a predominant provider can be identified for 81% of pregnancies. After adding sequential information, a predominant provider can be identified for 92% of pregnancies. Distance was significantly longer for pregnant individuals traveling to the identified predominant provider (an average of 5 miles) than to the nearest provider. CONCLUSIONS: Inclusion of PNC sequential information in the algorithm has increased the proportion of identifiable predominant providers by 11%. Applying this algorithm reveals a longer distance for pregnant individuals travelling to their predominant provider than to the nearest provider.

A comparison of healthcare utilization and outcomes following skin vs. serum-specific IgE allergy testing.

OBJECTIVE: To compare the cost, healthcare utilization, and outcomes between skin and serum-specific IgE (sIgE) allergy testing. METHODS: This retrospective cohort study used IBM® MarketScan claims data, from which commercially insured individuals who initiated allergy testing between January 1 and December 31, 2018 with at least 12 months of enrollment data before and after index testing date were included. Cost of allergy testing per patient was estimated by testing pattern: skin only, sIgE only, or both. Multivariable linear regression was used to compare healthcare utilization and outcomes, including office visits, allergy and asthma-related prescriptions, and emergency department (ED) and urgent care (UC) visits between skin and sIgE testing at 1-year post testing (α = 0.05). RESULTS: The cohort included 168,862 patients, with a mean (SD) age of 30.8 (19.5) years; 100,666 (59.7%) were female. Over half of patients (56.4%, n = 95,179) had skin only testing, followed by 57,291 patients with sIgE only testing and 16,212 patients with both testing. The average cost of allergy testing per person in the first year was $430 (95% CI $426-433) in patients with skin only testing, $187 (95% CI $183-190) in patients with sIgE only testing, and $532 (95% CI $522-542) in patients with both testing. At 1-year follow-up post testing, there were slight increases in allergy and asthma-related prescriptions, and notable decreases in ED visits by 17.0-17.4% and in UC visits by 10.9-12.6% for all groups (all p < 0.01). Patients with sIgE-only testing had 3.2 fewer allergist/immunologist visits than patients with skin-only testing at 1-year follow-up (p < 0.001). Their healthcare utilization and outcomes were otherwise comparable. CONCLUSIONS: Allergy testing, regardless of the testing method used, is associated with decreases in ED and UC visits at 1-year follow-up. sIgE allergy testing is associated with lower testing cost and fewer allergist/immunologist visits, compared to skin testing.

Development and validation of a claims-based algorithm to identify moderate exacerbations in patients with asthma treated in the US.

INTRODUCTION: Definitions of moderate asthma exacerbation have been inconsistent, making their economic burden difficult to assess. An algorithm to accurately identify moderate exacerbations from claims data is needed. METHODS: A retrospective cohort study of Reliant Medical Group patients aged ≥18 years, with ≥1 prescription claim for inhaled corticosteroid/long-acting ß2-agonist, and ≥1 medical claim with a diagnosis code for asthma was conducted. The objective was to refine current algorithms to identify moderate exacerbations in claims data and assess the refined algorithm's performance. Positive and negative predictive values (PPV and NPV) were assessed via chart review of 150 moderate exacerbations events and 50 patients without exacerbations. Sensitivity analyses assessed alternative algorithms and compared healthcare resource utilization (HRU) between algorithm-identified patients (claims group) and those confirmed by chart review (confirmed group) to have experienced a moderate exacerbation. RESULTS: Algorithm-identified moderate exacerbations were: visit of ≤1 day with an asthma exacerbation diagnosis OR visit of ≤1 day with selected asthma diagnoses AND ≥1 respiratory pharmacy claim, excluding systemic corticosteroids, within 14 days after the first claim. The algorithm's PPV was 42%; the NPV was 78%. HRU was similar for both groups. CONCLUSION: This algorithm identified potential moderate exacerbations from claims data; however, the modest PPV underscores its limitations in identifying moderate exacerbations, although performance was partially due to identification of previously unidentified severe exacerbations. Application of this algorithm in future claims-based studies may help quantify the economic burden of moderate and severe exacerbations in asthma when an algorithm identifying severe exacerbations is applied first.

Costs associated with adverse events during treatment episodes for adult attention-deficit/hyperactivity disorder.

OBJECTIVE: Attention-deficit/hyperactivity disorder (ADHD) medication is frequently associated with adverse events (AEs), but limited real-world data exist regarding their costs from a payer's perspective. Therefore, this study evaluated the healthcare costs associated with common AEs among adult patients treated for ADHD in the US. METHODS: Eligible adults treated for ADHD were identified from a large US claims database (1 October 2015-30 September 2021). A retrospective cohort study design was used to assess excess healthcare costs and costs directly related to AE-specific claims per-patient-per-month (PPPM) associated with 10 selected AEs during ADHD treatment. To account for all costs associated with the AE, treatment episodes with a given AE were compared to similar treatment episodes without this AE. Entropy balancing was used to create cohorts with similar characteristics. Studied AEs were selected based on their prevalence in clinical trials for common ADHD medications and were identified from ICD-10-CM diagnosis codes recorded in claims. RESULTS: Among the 461,464 patients included (mean age: 34.2 years; 45.5% males), 49.4% had ≥1 AE during their treatment episode. Treatment episodes with AEs were associated with statistically significant AE-specific medical costs (erectile dysfunction: $57; fatigue: $82; dry mouth: $90; diarrhea: $162; insomnia: $147; anxiety: $281; nausea: $299; constipation: $356; urinary hesitation: $491; feeling jittery: $723) and excess healthcare costs PPPM (erectile dysfunction: $120, fatigue: $248, insomnia: $265, anxiety: $380, diarrhea: $441, dry mouth: $485, nausea: $709, constipation: $802, urinary hesitation: $1,105, feeling jittery: $1,160; p < .05). LIMITATIONS: AEs were identified based on recorded diagnosis on medical claims and likely represent more severe AEs. Therefore, costs may not be representative of milder AEs. CONCLUSIONS: This study found that AEs occurring during ADHD treatment episodes are associated with significant healthcare costs. This highlights the potential of treatments with favorable safety profiles to alleviate the burden experienced by patients and the healthcare system.

Impact of Pseudomonas aeruginosa on resource utilization and costs in patients with exacerbated non-cystic fibrosis bronchiectasis.

AIMS: Non-cystic fibrosis bronchiectasis (NCFB) is a chronic progressive respiratory disorder occurring at a rate ranging from 4.2 to 278.1 cases per 100,000 persons, depending on age, in the United States. For many patients with NCFB, the presence of Pseudomonas aeruginosa (PA) makes treatment more complicated and typically has worse outcomes. Management of NCFB can be challenging, warranting a better understanding of the burden of illness for NCFB, treatments applied, healthcare resources used, and subsequent treatment costs. Comparing patients diagnosed with exacerbated NCFB, with or without PA on antibiotic utilization, treatments, and healthcare resources utilization and costs was the purpose of this study. MATERIALS AND METHODS: This was a retrospective cohort study of commercial claims from IQVIA's PharMetrics Plus database (January 1,2006-December 31, 2020). Study patients with a diagnosis of NCFB were stratified into two groups based on the presence or absence of PA, then followed to identify demographic characteristics, comorbid conditions, antibiotic treatment regimen prescribed, healthcare resources utilized, and costs of care. RESULTS: The results showed that patients with exacerbated NCFB who were PA+ had significantly more oral antibiotic fills per patient per year, more inpatient admissions with a longer length of stay, and more outpatient encounters than those who were PA-. For costs, PA+ patients also had significantly greater total healthcare costs per patient when compared to those who were PA-. CONCLUSION: Exacerbated NCFB with PA+ was associated with increased antibiotic usage, greater resource utilization, and increased costs. The major contributor to the cost differences was the use of inpatient services. Treatment strategies aimed at reducing the need for inpatient treatment could lessen the disparities observed in patients with NCFB.

Real-world treatment patterns and medical costs of prostate cancer patients in Switzerland - A claims data analysis.

BACKGROUND: Prostate cancer (PC) is the most prevalent cancer in men in Switzerland. However, evidence on the real-world health care use of PC patients is scarce. The aim of this study is to describe health care utilization, treatment patterns, and medical costs in PC patients over a period of five years (2014-2018). METHOD: We used routinely collected longitudinal individual-level claims data from a major provider of mandatory health insurance in Switzerland. Due to the lack of diagnostic coding in the claims data, we identified treated PC patients based on the treatments received. We described health care utilization and treatment pathways for patients with localized and metastatic PC. Costs were calculated from a health care system perspective. RESULTS: A total of 5591 PC patients met the inclusion criteria. Between 2014 and 2018, 1741 patients had outpatient radiotherapy for localized or metastatic PC and 1579 patients underwent radical prostatectomy. 3502 patients had an androgen deprivation therapy (ADT). 9.5% of these patients had a combination therapy with docetaxel, and 11.0% had a combination with abiraterone acetate. Docetaxel was the most commonly used chemotherapy (first-line; n = 413, 78.4% of all patients in chemotherapy). Total medical costs of PC in Switzerland were estimated at CHF 347 m (95% CI 323-372) in 2018. CONCLUSION: Most PC patients in this study were identified based on the use of ADT. Medical costs of PC in Switzerland amounted to 0.45% of total health care spending in 2018. Treatment of metastatic PC accounted for about two thirds of spending.

Real-world total cost of care by line of therapy in relapsed/refractory diffuse large B-cell lymphoma.

AIMS: There are multiple recently approved treatments and a lack of clear standard-of-care therapies for relapsed/refractory (R/R) diffuse large B-cell lymphoma (DLBCL). While total cost of care (TCC) by the number of lines of therapy (LoTs) has been evaluated, more recent cost estimates using real-world data are needed. This analysis assessed real-world TCC of R/R DLBCL therapies by LoT using the IQVIA PharMetrics Plus database (1 January 2015-31 December 2021), in US patients aged ≥18 years treated with rituximab plus cyclophosphamide, doxorubicin, vincristine, and prednisone (R-CHOP) or an R-CHOP-like regimen as first-line therapy. METHODS: Treatment costs and resources in the R/R setting were assessed by LoT. A sensitivity analysis identified any potential confounding of the results caused by the impact of the COVID-19 pandemic on healthcare utilization and costs. Overall, 310 patients receiving a second- or later-line treatment were included; baseline characteristics were similar across LoTs. Inpatient costs represented the highest percentage of total costs, followed by outpatient and pharmacy costs. RESULTS: Mean TCC per-patient-per-month generally increased by LoT ($40,604, $48,630, and $59,499 for second-, third- and fourth-line treatments, respectively). Costs were highest for fourth-line treatment for all healthcare resource utilization categories. Sensitivity analysis findings were consistent with the overall analysis, indicating results were not confounded by the COVID-19 pandemic. LIMITATIONS: There was potential misclassification of LoT; claims data were processed through an algorithm, possibly introducing errors. A low number of patients met the inclusion criteria. Patients who switched insurance plans, had insurance terminated, or whose enrollment period met the end of data availability may have had truncated follow-up, potentially resulting in underestimated costs. CONCLUSION: Total healthcare costs increased with each additional LoT in the R/R DLBCL setting. Further improvements of first-line treatments that reduce the need for subsequent LoTs would potentially lessen the economic burden of DLBCL.

A Claims-Based Method for Identification and Characterization of Practicing Interventional Radiologists.

PURPOSE: To propose a research method for identifying "practicing interventional radiologists" using 2 national claims data sets. MATERIALS AND METHODS: The 2015-2019 100% Medicare Part B data and 2015-2019 private insurance claims from Optum's Clinformatics Data Mart (CDM) database were used to rank-order radiologists' interventional radiology (IR)-related work as a percentage of total billed work relative value units (RVUs). Characteristics were analyzed at various threshold percentages. External validation used Medicare self-designated specialty with Society of Interventional Radiology (SIR) membership records; Youden index evaluated sensitivity and specificity. Multivariate logistic regression assessed practicing IR characteristics. RESULTS: In the Medicare data, above a 10% IR-related work threshold, only 23.8% of selected practicing interventional radiologists were designated as interventional radiologists; above 50% and 90% thresholds, this percentage increased to 42.0% and 47.5%, respectively. The mean percentage of IR-related work among practicing interventional radiologists was 45%, 84%, and 96% of total work RVUs for the 10%, 50%, and 90% thresholds, respectively. At these thresholds, the CDM practicing interventional radiologists included 21.2%, 35.2%, and 38.4% designated interventional radiologists, and evaluation and management services comprised relatively more total work RVUs. Practicing interventional radiologists were more likely to be males, metropolitan, and earlier in their careers than other radiologists at all thresholds. CONCLUSIONS: Most radiologists performing IR-related work are designated in claims data as diagnostic radiologists, indicating insufficiency of specialty designation for IR identification. The proposed method to identify practicing interventional radiologists by percent IR-related work effort could improve generalizability and comparability across claims-based IR studies.

Development and validation of algorithms to predict left ventricular ejection fraction class from healthcare claims data.

AIMS: The use of large medical or healthcare claims databases is very useful for population-based studies on the burden of heart failure (HF). Clinical characteristics and management of HF patients differ according to categories of left ventricular ejection fraction (LVEF), but this information is often missing in such databases. We aimed to develop and validate algorithms to identify LVEF in healthcare databases where the information is lacking. METHODS AND RESULTS: Algorithms were built by machine learning with a random forest approach. Algorithms were trained and reinforced using the French national claims database [Système National des Données de Santé (SNDS)] and a French HF registry. Variables were age, gender, and comorbidities, which could be identified by medico-administrative code-based proxies, Anatomical Therapeutic Chemical codes for drug delivery, International Classification of Diseases (Tenth Revision) coding for hospitalizations, and administrative codes for any other type of reimbursed care. The algorithms were validated by cross-validation and against a subset of the SNDS that includes LVEF information. The areas under the receiver operating characteristic curve were 0.84 for the algorithm identifying LVEF ≤ 40% and 0.79 for the algorithms identifying LVEF < 50% and ≥50%. For LVEF ≤ 40%, the reinforced algorithm identified 50% of patients in the validation dataset with a positive predictive value of 0.88 and a specificity of 0.96. The most important predictive variables were delivery of HF medication, sex, age, hospitalization, and testing for natriuretic peptides with different orders of positive or negative importance according to the LVEF category. CONCLUSIONS: The algorithms identify reduced or preserved LVEF in HF patients within a nationwide healthcare claims database with high positive predictive value and low rates of false positives.

Real-World Adherence to and Persistence with Vibegron in Patients with Overactive Bladder: A Retrospective Claims Analysis.

INTRODUCTION: Vibegron is a ß3-adrenergic receptor agonist approved for overactive bladder (OAB). This analysis assessed real-world adherence and persistence with vibegron in patients with OAB, along with demographics and clinical characteristics associated with adherence and persistence. METHODS: This retrospective study used the Optum Research Database to identify patients treated with vibegron from April 2021 to August 2022 (identification period). Patients had ≥ 60 days of continuous pharmacy coverage in a commercial or Medicare Advantage plan following the index fill (follow-up). Adherence was assessed as proportion of days covered (PDC) from index to end of follow-up and was defined as PDC ≥ 80%. Persistence was measured as days to discontinuation of therapy (30-day gap) or end of follow-up. Data for adherence and persistence are presented descriptively. Characteristics associated with adherence and persistence were analyzed using multivariable models among patients with medical and pharmacy benefits during the 90 days before index (baseline). RESULTS: Overall, 9992 patients had a vibegron claim during the identification period; 9712 had ≥ 2 months of follow-up. Mean (SD) age was 74.2 (10.7) years; 68.2% were female. Mean (SD) PDC was 0.64 (0.34). Median (95% confidence interval) persistence was 142 (132-153) days. Of the 5073 patients who were ≥ 18 years old with continuous baseline pharmacy and medical benefits ≥ 90 days before index, 2497 (49.2%) were adherent. Patients were more likely to be adherent and persistent if they received a greater days' supply for the index fill and had baseline medication count ≥ 6. Patients were more likely to discontinue if their index copay was > $45. CONCLUSION: Nearly half of the patients initiating vibegron were adherent. Factors associated with adherence and persistence were more likely to be related to prescribing practices than patient characteristics. These results suggest it may be best to follow up with patients approximately 4 to 5 months after initiating treatment with vibegron.

Vibegron is a newer drug for treating overactive bladder. Vibegron was safe and worked well in clinical trials. However, there is no information on use of vibegron in a real-world population that is not a clinical trial. This study looked at how consistently and how long patients took vibegron after starting it. It also looked at what was common in patients who took vibegron consistently. To do this, the study used pharmacy prescription data from April 2021 to August 2022. It examined adherence to the study medication for each patient. Adherence is how many days patients had medication on hand compared to how long they were followed. The study also looked at persistence to the study medication. Persistence is how long a patient takes a medication before they stop taking it. Researchers then examined if there were reasons a patient may or may not take vibegron as prescribed. The study included prescription data for 9712 patients. The average age was 74 years and 68% of patients were female. Patients had their medication 64% of the time (adherence). On average, patients took their medication for 142 days before stopping (persistence). Patients had better adherence and persistence if they received a larger supply of medication at the pharmacy when first prescribed the medication and if they had more medications overall. Patients' age and gender did not affect adherence and persistence. Vibegron may be a good option for patients with overactive bladder. Follow-up with a provider may be considered 4 to 5 months after starting vibegron.

Impact of the coronavirus disease 2019 pandemic on primary and metastatic lung cancer treatments in Japan: A nationwide study using an interrupted time series analysis.

BACKGROUND: The coronavirus disease 2019 pandemic prompted healthcare providers to use different approaches from the current standards of care. We aimed to identify the changes in the number of treatments for primary non-small cell lung cancer (NSCLC) and metastatic lung cancer during the pandemic. METHODS: We used nationwide insurance claims data from January 2015 to January 2021, and estimated changes in the number of treatments using an interrupted time series analysis. RESULTS: The number of surgical resections for primary NSCLC significantly decreased in April 2020 (-888; 95% confidence interval [CI]: -1530 to -246) and July 2020 (-1314; 95% CI: -1935 to -694), while the number of stereotactic body radiotherapies (SBRTs) increased in April 2020 (95; 95% CI: 8-182) and July 2020 (111; 95% CI: 24-198). The total number of treatments for primary NSCLC remained unchanged; however, non-significant decreases were observed in 2020. The number of surgical resections for metastatic lung cancer significantly decreased in April 2020 (-201; 95% CI: -337 to -65), but it eventually increased in July 2020 (170; 95% CI: 32-308). Additionally, the number of SBRTs significantly increased in April 2020 (37; 95% CI: 3-71) and October 2020 (57; 95% CI: 23-91). The total number of treatments for metastatic lung cancer was maintained, with an initial decrease in April 2020 followed by a subsequent increase in July and October 2020. CONCLUSION: In Japan, surgical triage for primary and metastatic lung cancer are likely to have been implemented during the pandemic. Despite these proactive measures, patients with primary NSCLC may have been untreated, likely owing to their undiagnosed disease, potentially leading to a deterioration in prognosis. By contrast, patients diagnosed with cancer prior to the pandemic are presumed to have received standard management throughout the course of the pandemic.