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BackgroundThis study evaluated the real-world impact of acupuncture on analgesics and healthcare resource utilization among breast cancer survivors.MethodsFrom a United States (US) commercial claims database (25% random sample of IQVIA PharMetrics® Plus for Academics), we selected 18-63 years old malignant breast cancer survivors experiencing pain and ≥ 1 year removed from cancer diagnosis. Using the difference-in-difference technique, annualized changes in analgesics [prevalence, rates of short-term (

Objective: With global aging, the occurrence of stroke and associated outcomes like dementia are on the rise. Seizures and epilepsy are common poststroke complications and have a strong connection to subsequent dementia. This study examines the relationship between poststroke seizures (PSS) or poststroke epilepsy (PSE) and dementia using a national health care database. Methods: We conducted a retrospective study using data from the Taiwan National Health Insurance Research Database from 2009 to 2020. We identified acute stroke patients from 2010 to 2015, excluding those with pre‐existing neurological conditions. Based on age, sex, stroke severity level, and the year of index stroke, patients with PSS or PSE were matched to those without. The main outcome was incident dementia. Results: This study included 62 968 patients with an average age of 63 years, with males accounting for 62.9%. Of them, 60.3% had ischemic strokes, and 39.7% had hemorrhagic strokes. After an average follow‐up period of 5.2 years, dementia developed in 15.9% of patients who had PSS or PSE, as opposed to 8.4% of those without these conditions. A time‐dependent Fine and Gray competing risk analysis showed that PSS and PSE were significantly associated with dementia across all stroke types. Subgroup analyses revealed significantly increased risk of dementia across all age groups (<50, 50–64, and ≥65 years), sexes, and various stroke severity levels. The link between PSS or PSE and dementia was particularly pronounced in men, with a less distinct correlation in women. Significance: The risk of incident dementia was higher in patients with PSS or PSE. The potential for therapeutic interventions for seizures and epilepsy to reduce poststroke dementia underscores the importance of seizure screening and treatment in stroke survivors. [ABSTRACT FROM AUTHOR]

Objectives: There is limited data on the incidence, prevalence, and treatments for myelofibrosis (MF) in Germany. This retrospective study examined claims data from 3.3 million insured individuals, spanning from 2010 to 2021. Methods: Four sensitivity scenarios were explored to identify cases of MF. Point prevalence and cumulative incidence of MF were determined as of December 31, 2021, and within 2021, respectively. A cross‐sectional analysis used the main scenario definition of MF to identify cases and evaluate the period prevalence of patients receiving treatment for symptoms and/or splenomegaly, including first‐line (1L) Janus kinase inhibitor (JAKi), second‐line, or further (2L+) MF‐related treatment therapies during 2021. The prevalence of anemia treatment was also reported. Results: The estimated standardized point prevalence of MF on December 31, 2021, was 9.9–12.4 cases per 100 000 persons, and cumulative incidence in 2021 was 1.2–1.8 cases per 100 000 persons. Standardized period prevalence in 2021 for MF patients receiving 1L JAKi and/or 2L+ MF‐related treatment was 4.0 cases per 100 000. Among these patients, 47.1%–53.7% required treatment for anemia, resulting in a period prevalence of 1.9–2.2 cases per 100 000 individuals. Conclusion: The data reveal gaps in MF treatments and the need to improve patient quality of life. [ABSTRACT FROM AUTHOR]

Background: Ocular surface disorders have been reported among patients with various medical conditions, including atopic dermatitis (AD). Nonetheless, validated algorithms to identify conjunctivitis and keratitis in claims data are lacking. Objective: Develop validated, claims‐based algorithms for conjunctivitis and keratitis among patients with AD using medical records. Methods: Patients with AD were identified in a claims database between March 2017 and November 2019. Among these patients, candidate algorithms were developed that included diagnosis codes for conjunctivitis or keratitis, alone and in combination with ophthalmic treatments. Among patients who met ≥ 1 candidate algorithms, a subset was randomly selected for medical record review. Additionally, records from a random sample of patients with AD were reviewed to assess sensitivity. Overall, 341 records were sought and 262 adjudicated by an expert ophthalmologist. The positive predictive value (PPV) of each algorithm was calculated and compared to a pre‐specified threshold of ≥ 70%. Results: For conjunctivitis, the final algorithm was ≥ 1 conjunctivitis diagnosis (PPV = 81%, 95% confidence interval [CI]: 73%–87%). For keratitis, the final algorithm combined the following 2 candidate algorithms: ≥ 1 keratitis diagnosis and ≥ 1 dispensing of a topical antibiotic or antibiotic–steroid combination (PPV = 91%); and ≥ 1 keratitis diagnosis and ≥ 1 dispensing of an ophthalmic corticosteroid, topical immune‐modulator, or topical NSAID (PPV = 68%) for an overall PPV of 80% (95% CI: 55%–93%). Conclusion: The first claims‐based algorithms to identify conjunctivitis and keratitis among AD patients were developed and validated. They are available for use in future studies, particularly to better understand conjunctivitis and keratitis occurrence among patients with AD. [ABSTRACT FROM AUTHOR]

Purpose: We validated claims‐based algorithms using the International Classification of Diseases, Tenth Revision (ICD‐10) to identify patients with the first‐ever coronavirus disease (COVID‐19) onset between May 2020 and August 2022. Methods: The study cohort was comprised of residents of one municipality enrolled in a public insurance program. This study used data provided by the municipality, including residents' insurer‐based medical claims data linked to the Health Center Real‐time Information‐Sharing System (HER‐SYS). The HER‐SYS data included positive results from COVID‐19 tests and were used as reference standards. Claims‐based algorithms #1 and #2 were U07.1, B34.2, with and without suspicious diagnoses, respectively. Claims‐based algorithms #3 and #4 were U07.1 with and without suspicious diagnoses, respectively. The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were calculated for each algorithm. Results: The study cohort included 165 038 residents, including 13 402 residents were the reference standard. For the entire period, the sensitivity, specificity, PPV, and NPV were 55.7% (95% confidence interval: 54.8%–56.5%), 65.4% (65.2%–65.6%), 11.5% (11.3%–11.8%), and 98.9% (98.8%–99.0%) for Algorithm #1, and 67.0% (66.2%–67.8%), 88.1% (87.9%–88.3%), 31.6% (31.1%–32.2%), and 97.8% (97.7%–97.8%) for Algorithm #2, and 52.9% (52.0%–53.7%), 67.1% (66.9%–67.3%), 11.5% (11.2%–11.8%), and 98.3% (98.3%–98.4%) for Algorithm #3, 62.6% (61.8%–63.4%), 88.5% (88.3%–88.7%), 30.9% (30.3%–31.4%), and 97.3% (97.2%–97.4%) for Algorithm #4, respectively. Conclusions: Our study showed that the validity of claims‐based algorithms consisting of COVID‐19‐related ICD‐10 codes to identify patients with first‐onset COVID‐19 is limited. [ABSTRACT FROM AUTHOR]

Background: Limited real-world evidence is available for patients with diffuse large B-cell lymphoma (DLBCL) who received an autologous stem cell transplantation (ASCT) in Germany. Objectives: This study aims to describe the real-world survival outcomes of patients with DLBCL who received ASCT in Germany after diagnosis. Design: This study is a retrospective database analysis covering the period between 2010 and 2019. Methods: Unadjusted overall survival (OS) was plotted using the Kaplan-Meier estimator for the overall population and stratified by relapse status. A Cox regression was run to identify factors that influence OS. Results: A total of 112 patients received an ASCT, with the average time from first-line treatment to ASCT being 11.7 months. The median OS estimated by Kaplan-Meier was 83.4 months for the entire cohort. The only variable that significantly reduced the OS was the presence of subsequent treatment after ASCT in a time-dependent model Conclusion: OS after ASCT for DLBCL patients in Germany is higher than previously reported and may still be considered a valid option for carefully selected patients with relapsed/refractory DLBCL.. [ABSTRACT FROM AUTHOR]

Background: Post-viral symptoms have long been known in the medical community but have received more public attention during the COVID-19 pandemic. Many post-viral symptoms were reported as particularly frequent after SARS-CoV-2 infection. However, there is still a lack of evidence regarding the specificity, frequency and persistence of these symptoms in comparison to other viral infectious diseases such as influenza. Methods: We investigated a large population-based cohort based on German routine healthcare data. We matched 573,791 individuals with a PCR-test confirmed SARS-CoV-2 infection from the year 2020 to contemporary controls without SARS-CoV-2 infection and controls from the last influenza outbreak in 2018 and followed them up to 18 months. Results: We found that post-viral symptoms as defined for COVID-19 by the WHO as well as tissue damage were more frequent among the COVID-19 cohort than the influenza or contemporary control cohort. The persistence of post-viral symptoms was similar between COVID-19 and influenza. Conclusion: Post-viral symptoms following SARS-CoV-2 infection constitute a substantial disease burden as they are frequent and often persist for many months. As COVID-19 is becoming endemic, the disease must not be trivialized. Research should focus on the development of effective treatments for post-viral symptoms. [ABSTRACT FROM AUTHOR]

Background Frailty is a dynamic syndrome characterized by reduced physiological reserve to maintain homeostasis. Prospective studies have reported frailty worsening in women with breast cancer during chemotherapy, with improvements following treatment. We evaluated whether the Faurot frailty index, a validated claims-based frailty measure, could identify changes in frailty during chemotherapy treatment and identified predictors of trajectory patterns. Methods We included women (65+ years) with stage I-III breast cancer undergoing adjuvant chemotherapy in the SEER-Medicare database (2003-2019). We estimated the Faurot frailty index (range: 0-1; higher scores indicate greater frailty) at chemotherapy initiation, 4 months postinitiation, and 10 months postinitiation. Changes in frailty were compared to a matched noncancer comparator cohort. We identified patterns of frailty trajectories during the year following chemotherapy initiation using K-means clustering. Results Twenty-one thousand five hundred and ninety-nine women initiated adjuvant chemotherapy. Mean claims-based frailty increased from 0.037 at initiation to 0.055 4 months postchemotherapy initiation and fell to 0.049 10 months postinitiation. Noncancer comparators experienced a small increase in claims-based frailty over time (0.055-0.062). We identified 6 trajectory patterns: a robust group (78%), 2 resilient groups (16%), and 3 nonresilient groups (6%). Black women and women with claims for home hospital beds, wheelchairs, and Parkinson's disease were more likely to experience nonresilient trajectories. Conclusions We observed changes in a claims-based frailty index during chemotherapy that are consistent with prior studies using clinical measures of frailty and identified predictors of nonresilient frailty trajectories. Our study demonstrates the feasibility of using claims-based frailty indices to assess changes in frailty during cancer treatment. [ABSTRACT FROM AUTHOR]

Background: Patients with ankylosing spondylitis (AS) suffer from impaired physical activity and are prone to motor vehicle accidents (MVA), but definite instruction regarding the relationship between disease evolvement and MVA and potential risk factors is lacking. Objectives: To explore the risk factors and their impact on recorded MVA with profound injuries in AS patients with prescriptions. Design: Nationwide, population-based, matched retrospective cohort study. Methods: Using Taiwanese administrative healthcare databases, with available claims data from 2003 to 2013, we selected 30,911 newly diagnosed adult AS patients with concurrent prescriptions from 2006 to 2012 as AS patients, along with 309,110 non-AS individuals as the control group, matched in gender, age at index date and year of the index date. The risk of recorded MVA with profound injuries was compared between the two groups in terms of incidence rate ratio (IRR) and log-rank test p -value. Using Cox regression analysis, we studied associations between the risk and AS diagnosis. Results: The risk of recorded MVA with profound injuries in AS patients was significantly higher than in non-AS individuals, specifically 2 years after AS diagnosis (IRR, 2.00; 95% confidence interval (CI), 1.42–2.81). For patients with follow-up periods >2 years, the adjusted risk was positively associated with suburban residence (adjusted hazard ratio (aHR), 2.18; 95% CI, 1.55–3.06), rural residence (aHR, 1.89; 95% CI, 1.27–2.80), lower insured income (aHR, 1.35; 95% CI, 1.01–1.81) and recorded MVA with profound injuries before AS diagnosis (aHR, 6.16; 95% CI, 2.53–14.96). AS diagnosis (aHR, 1.81; 95% CI, 1.27–2.59) and frequency of ambulatory visits (aHR, 1.01; 95% CI, 1.004-–1.02) were specific associated factors for them compared with those with follow-up periods ⩽2 years. Conclusion: For adult AS patients in Taiwan, factors such as AS disease evolution and frequent ambulatory visits for disease control in the second year of the disease course may significantly increase the risk of recorded MVA with profound injuries beyond 2 years after AS diagnosis. [ABSTRACT FROM AUTHOR]

Background: Wilson disease (WD) is a rare disorder of copper metabolism, causing copper accumulation mainly in the liver and the brain. The prevalence of WD was previously estimated around 20 to 33.3 patients per million for the United States, Europe, and Asia, but data on the prevalence of WD in Germany are limited. Objectives: To describe patient characteristics and to assess prevalence of WD in Germany using a representative claims database. Methods: WD patients were identified in the WIG2 (Wissenschaftliches Institut für Gesundheitsökonomie und Gesundheitssystemforschung; Scientific Institute for Health Economics and Health Systems Research) benchmark database of 4.5 million insured Germans by combining ICD-10-coding with WD-specific lab tests and treatments. The study period ranged from 2013 to 2016 for assessing patient characteristics, and to 2018 for prevalence, respectively. Results: Seventy unique patients were identified. Most patients (86%) were between 18 and 64 years of age and more often male (60%) than female. Two patients (3%) younger than 18 years were included, as well as 8 patients (11%) older than 64 years. Most common WD subtypes were hepatic (57%), psychiatric (49%), and neurologic (44%). Average prevalence was 20.3 patients per million (range: 17.8–24.4), with similar results for two-year prevalence. Generally, prevalence increased steadily over the study period. Observed mortality was low, with only one death during the study period. Conclusions: This study adds valuable real-world data on the prevalence and patient characteristics of WD in Germany. Generally, our findings align with other reports and contribute to the global understanding of WD epidemiology. Still, regional and temporal trends remain to be investigated more thoroughly to further the understanding of the natural history and epidemiology of this rare disease. [ABSTRACT FROM AUTHOR]

• Data from The French Cystic Fibrosis (CF) Registry and SNDS claims data were linked. • Healthcare resource use was lower before death than before lung transplantation (LT). • Some costs were lower before death than LT, particularly for CF treatments. • The study gathered key data on the total cost of LT in people with CF. We studied the health care resource utilization (HCRU) and associated costs in the year preceding LT in pwCF or death without LT, and we estimated the overall cost of LT. We performed a linkage between 2006 and 2017 data from the French CF Registry (FCFR) and the French health claims database (Système National des Données de Santé; SNDS). The HCRU and associated costs were described the year before LT or before death without LT, and two years after LT. Among the 7,671 patients included in the FCFR, 6,187 patients (80.7 %) were successfully matched to patients in the SNDS (males (m): 51.9 %, mean±SD age at the end of follow-up: 24.6 ± 13.6). Overall, 166 patients died without LT (m: 47.6 %, age at death: 30.4 ± 14.5) and 767 patients with primary LT (m: 48.2 %, age at transplantation: 28.0 ± 9.1) were identified. HCRU was lower among patients who died without receiving LT, with marked differences in the cost of hospital stays. The mean total cost per patient was €66,759 ± 38,249 in the year before death, €149,374 ± 62,678 in the year preceding LT, €63,919 ± 35,399 in the first year following LT, and €42,813 ± 39,967 in the second year of follow-up. Our results indicate that HCRU was two times lower in the year before death in non-transplant pwCF than in the year before LT, which may reflect inappropriate care of CF in patients who died without receiving LT. It also shows the cost associated with LT. [ABSTRACT FROM AUTHOR]

Background Frailty is a dynamic aging-related syndrome, but measuring frailty transitions is challenging. The Faurot frailty index is a validated Medicare claims-based frailty proxy based on demographic and billing information. We evaluated whether 3-year changes in the Faurot frailty index were consistent with concurrent changes in the frailty phenotype in a cohort of older adults. Methods We used longitudinal data from the National Health and Aging Trends Study (NHATS) with Medicare claims linkage (2010–2018). We identified older adults (66+ years) in the 2011 and 2015 NHATS cohorts with at least 1 year of Medicare fee-for-service continuous enrollment (N = 6 951). We described annual changes in mean claims-based frailty for up to 3 years, based on concurrent transitions in the frailty phenotype. Results At baseline, 32% were robust, 48% prefrail, and 19% frail based on the frailty phenotype. Mean claims-based frailty for older adults who were robust at baseline and worsened to frail increased over 3 years (0.09–0.25). Similarly, those who worsened from prefrail to frail experienced an increase in mean claims-based frailty (0.14–0.26). Improvements in the frailty phenotype did not correspond to decreases in claims-based frailty. Older adults whose frailty phenotype improved over time had a lower baseline claims-based frailty score than those who experienced stable or worsening frailty. Conclusions Older adults who experienced a frailty phenotype worsening over 3 years experienced concurrent increases in the Faurot frailty index. Our results suggest that claims data may be used to identify clinically meaningful worsening in frailty. [ABSTRACT FROM AUTHOR]

Onychomycosis, a fungal nail infection, is a common dermatological condition in Japan, with a prevalence of approximately 5%–10%. Despite the introduction of new antifungal medications and updated treatment guidelines published in 2019, data on real‐world prescription trends and the associated medical costs are limited. This study aimed to investigate the prescription patterns and medical costs of topical and oral antifungal medications for onychomycosis in Japan from fiscal years 2014 to 2021 using the National Database of Health Insurance Claims and Specific Health Checkups of Japan Open Data. We analyzed the annual prescription volumes and medical costs of four antifungal medications: efinaconazole, luliconazole, fosravuconazole, and terbinafine. The prescription volume of efinaconazole, a topical medication launched in 2014, rapidly increased and dominated the market share. Fosravuconazole, an oral medication introduced in 2018, showed an increasing trend, coinciding with a decline in efinaconazole prescriptions. Terbinafine, a well‐established oral medication, experienced a substantial decrease in prescription volume. The sex‐ and age‐adjusted prescription volume per 100 000 population was higher among older adults, particularly for efinaconazole. The total medical costs for onychomycosis treatment more than doubled in fiscal year 2015 compared with that for 2014, mainly driven by efinaconazole prescriptions, and exceeded 30 billion Japanese yen in fiscal years 2019–2021. The costs slightly decreased in fiscal years 2020 and 2021, possibly due to the introduction of fosravuconazole. The predominance of topical prescriptions, especially in older adults, raises concerns regarding adherence to the Japanese guidelines that recommend oral antifungals as the first‐line treatment for onychomycosis. The substantial increase in medical costs also highlights the economic burden of onychomycosis and the need for cost‐effective treatment strategies. This study provides valuable insights into the real‐world prescription trends and medical costs of onychomycosis treatment in Japan, suggesting an opportunity to assess potential gaps between guideline recommendations and clinical practice. [ABSTRACT FROM AUTHOR]

Sujata P Sarda,1 Guillaume Germain,2 Malena Mahendran,3 Jacob Klimek,3 Wendy Y Cheng,3 Roger Luo,1 Mei Sheng Duh3 1Apellis Pharmaceuticals, Waltham, MA, USA; 2Groupe d’analyse, Ltée, Montreal, Québec, Canada; 3Analysis Group, Inc, Boston, MA, USACorrespondence: Guillaume Germain, Vice President, Analysis Group, Inc, 1190 avenue des Canadiens-de-Montréal, Suite 1500, Montréal, QC, H3B 0G7, Canada, Tel +1-514-394-4446, Email guillaume.germain@analysisgroup.comPurpose: This study assessed the clinical and economic burden of geographic atrophy (GA) using real-world data from elderly patients with Medicare Advantage plans in the United States.Patients and Methods: A retrospective cohort design of patients with GA only, GA + visual impairment (GA + VI), GA + blindness (GA + B), and patients without GA were identified using administrative healthcare claims data from Optum Clinformatics Data Mart. Inverse probability of treatment weighting controlled for confounding when comparing patients with GA only vs without GA, GA + VI vs GA only, and GA + B vs GA only. Endpoints included all-cause and ophthalmic condition-related healthcare resource utilization (HRU), injurious falls, and healthcare costs. HRU and injurious falls were assessed per-person-per-year and per 100 person-years, respectively. Cohorts were compared using rate ratios, 95% confidence intervals (CIs), and p-values from weighted Poisson regression models. Healthcare costs were evaluated per-person-per-year using mean cost differences, 95% CIs, and p-values from weighted linear regression.Results: The study included 18,119 patients with GA only, 2,285 with GA + VI, 1,716 with GA + B, and 72,476 patients without GA. Higher rates of all-cause hospitalizations (RR [95% CI]: 1.08 [1.03, 1.12]), outpatient visits (1.08 [1.05, 1.10]), other visits (1.14 [1.08, 1.21]), and falls with head injuries (1.24 [1.05, 1.45]) were observed in patients with GA vs without GA (P< 0.05). GA was associated with higher annual all-cause total healthcare costs, spending an average of &dollar;1,171 more after adjustment (P< 0.05). Progression to GA + VI and GA + B was associated with a more pronounced burden.Conclusion: The clinical and economic burden of GA is substantial and escalates as the disease advances. These findings suggest early intervention aimed at slowing GA progression may help to mitigate the healthcare burden associated with advancement of GA to visual impairment and blindness.Keywords: geographic atrophy, economic burden, claims data, retrospective, visual impairment, blindness

Abstract Background Post-viral symptoms have long been known in the medical community but have received more public attention during the COVID-19 pandemic. Many post-viral symptoms were reported as particularly frequent after SARS-CoV-2 infection. However, there is still a lack of evidence regarding the specificity, frequency and persistence of these symptoms in comparison to other viral infectious diseases such as influenza. Methods We investigated a large population-based cohort based on German routine healthcare data. We matched 573,791 individuals with a PCR-test confirmed SARS-CoV-2 infection from the year 2020 to contemporary controls without SARS-CoV-2 infection and controls from the last influenza outbreak in 2018 and followed them up to 18 months. Results We found that post-viral symptoms as defined for COVID-19 by the WHO as well as tissue damage were more frequent among the COVID-19 cohort than the influenza or contemporary control cohort. The persistence of post-viral symptoms was similar between COVID-19 and influenza. Conclusion Post-viral symptoms following SARS-CoV-2 infection constitute a substantial disease burden as they are frequent and often persist for many months. As COVID-19 is becoming endemic, the disease must not be trivialized. Research should focus on the development of effective treatments for post-viral symptoms.

Abstract Background This study evaluated the real-world impact of acupuncture on analgesics and healthcare resource utilization among breast cancer survivors. Methods From a United States (US) commercial claims database (25% random sample of IQVIA PharMetrics® Plus for Academics), we selected 18–63 years old malignant breast cancer survivors experiencing pain and ≥ 1 year removed from cancer diagnosis. Using the difference-in-difference technique, annualized changes in analgesics [prevalence, rates of short-term (

Abstract Background Wilson disease (WD) is a rare disorder of copper metabolism, causing copper accumulation mainly in the liver and the brain. The prevalence of WD was previously estimated around 20 to 33.3 patients per million for the United States, Europe, and Asia, but data on the prevalence of WD in Germany are limited. Objectives To describe patient characteristics and to assess prevalence of WD in Germany using a representative claims database. Methods WD patients were identified in the WIG2 (Wissenschaftliches Institut für Gesundheitsökonomie und Gesundheitssystemforschung; Scientific Institute for Health Economics and Health Systems Research) benchmark database of 4.5 million insured Germans by combining ICD-10-coding with WD-specific lab tests and treatments. The study period ranged from 2013 to 2016 for assessing patient characteristics, and to 2018 for prevalence, respectively. Results Seventy unique patients were identified. Most patients (86%) were between 18 and 64 years of age and more often male (60%) than female. Two patients (3%) younger than 18 years were included, as well as 8 patients (11%) older than 64 years. Most common WD subtypes were hepatic (57%), psychiatric (49%), and neurologic (44%). Average prevalence was 20.3 patients per million (range: 17.8–24.4), with similar results for two-year prevalence. Generally, prevalence increased steadily over the study period. Observed mortality was low, with only one death during the study period. Conclusions This study adds valuable real-world data on the prevalence and patient characteristics of WD in Germany. Generally, our findings align with other reports and contribute to the global understanding of WD epidemiology. Still, regional and temporal trends remain to be investigated more thoroughly to further the understanding of the natural history and epidemiology of this rare disease.

Background: During the COVID-19 pandemic, reports from several European mental health care systems hinted at important changes in utilization. So far, no study examined changes in utilization in the German mental health care inpatient and outpatient mental health care system comprehensively. Methods: This longitudinal observational study used claims data from two major German statutory health insurances, AOK PLUS and BKK, covering 162,905 inpatients and 2,131,186 outpatients with mental disorders nationwide. We analyzed changes in inpatient and outpatient mental health service utilization over the course of the first two lockdown phases (LDPs) of the pandemic in 2020 compared to a pre-COVID-19 reference period dating from March 2019 to February 2020 using a time series forecast model. Results: We observed significant decreases in the number of inpatient hospital admissions by 24–28% compared to the reference period. Day clinic admissions were even further reduced by 44–61%. Length of stay was significantly decreased for day clinic care but not for inpatient care. In the outpatient sector, the data showed a significant reduction in the number of incident outpatient diagnoses. Conclusion: Indirect evidence regarding the consequences of the reductions in both the inpatient and outpatient sector of care described in this study is ambiguous and direct evidence on treatment outcomes and quality of trans-sectoral mental healthcare is sparse. In line with WHO and OECD we propose a comprehensive mental health system surveillance to prepare for a better oversight and thereby a better resilience during future global major disruptions. [ABSTRACT FROM AUTHOR]

Aims: To identify the prevalence of cardiovascular disease (CVD) and obesity in patients with type 2 diabetes (T2D) in Germany and to evaluate if antidiabetic treatment patterns varied by comorbidity status. Materials and Methods: Patients with T2D (aged ≥18 years) were identified during the study period (2014–2020) from medical claims of 4.5 million publicly insured German residents and divided into different cohorts based on CVD and/or obesity diagnosis. Annual prevalence and incidence were estimated for each study year, while characteristics and treatments were assessed in 2020. Data were extrapolated to the German population by age and sex. Results: The prevalence of T2D in 2020 was 11.4%. Among patients with T2D, 53.0% had CVD, 39.3% had obesity, and 20.9% had CVD and obesity. Since 2014, CVD increased by 1.4%, obesity by 4.5%, and CVD with obesity by 2.7% in patients with T2D. The incidence of T2D in 2020 was 1.0% (42.9% had CVD, 37.9% had obesity, and 15.8% had CVD and obesity). Among the prevalent T2D population in 2020, 4.9% received glucagon‐like peptide‐1 receptor agonists (GLP‐1RAs), 9.7% received sodium‐glucose cotransporter‐2 (SGLT2) inhibitors, and 13.0% received GLP‐1 RAs and/or SGLT2 inhibitors. Of those with CVD, 12.9% received GLP‐1 RAs and/or SGLT2 inhibitors (without CVD, 13.2%). Of those with obesity, 19.4% received GLP‐1RAs and/or SGLT2 inhibitors (without obesity, 9.0%). Conclusions: In this retrospective claims database study, more than two thirds of patients with T2D also had CVD, obesity, or both CVD and obesity. GLP‐1 RA and SGLT2 inhibitor use remained low. [ABSTRACT FROM AUTHOR]

The onset of the COVID-19 pandemic in March 2020 had a sudden and substantial impact on health care utilization for most, if not all, individuals. We study the impact the pandemic had on the population insured in the individual and small group markets under the Patient Protection and Affordable Care Act (ACA) of 2010, using administrative claims data from January 2019 through December 2021. Our results demonstrated how health care utilization differed between the acute phase (i.e., 2020) and the post-acute phase (i.e., 2021) compared with the pre-pandemic phase. We found that in the ACA markets, most spending and utilization categories decreased drastically during the initial months of the pandemic and recovered by the end of 2021. While the role of telehealth among office visits decreased substantially by the end of 2021, it remained the main mode of delivery for mental health services. [ABSTRACT FROM AUTHOR]

Abstract Background Since June 2017, oral pre-exposure prophylaxis (PrEP) has been reimbursed in Belgium for people at substantial risk of HIV. To inform the national PrEP programme, we described sociodemographic characteristics of PrEP users, PrEP dispensing practices, testing for HIV and sexually transmitted infections (STIs; gonorrhoea, chlamydia and syphilis), and incidence of HIV and STIs. Methods Analysis of routinely collected social health insurance claims data from all individuals who were dispensed at least one PrEP prescription between June 2017 and December 2019. Using logistic regression adjusted for age, we examined associations between sociodemographic characteristics and having been dispensed PrEP only once in the first six months of PrEP use. Results Overall, 4559 individuals were dispensed PrEP. Almost all PrEP users were male (99.2%, 4522/4559), with a median age of 37 years (IQR 30–45). A minority were entitled to an increased healthcare allowance (11.4%, 514/4559). 18% (657/3636) were dispensed PrEP only once in the first six months of PrEP use. PrEP users younger than 25 years, unemployed, entitled to an increased healthcare allowance, and who initiated PrEP between January 2019 and June 2019 were more likely to have had no PrEP dispensing after initiation compared to their counterparts. The testing rates for bacterial STIs and HIV were 4.2 tests per person-year (95% CI 4.1–4.2) and 3.6 tests per person-year (95% CI 3.5–3.6), respectively. Twelve individuals were identified to have seroconverted during the study period, resulting in an HIV incidence rate of 0.21/100 person-years (95% CI 0.12–0.36). The incidence of bacterial STIs was 81.2/100 person-years (95% CI 78.7–83.8). Conclusions The study highlights challenges in PrEP persistence and a high incidence of bacterial STIs among individuals receiving PrEP. Tailored prevention support is crucial for individuals with ongoing HIV risk to optimise PrEP effectiveness. Integrated STI testing and prevention interventions within PrEP care are necessary to mitigate STI acquisition and transmission among PrEP users.

Abstract Background Against the backdrop of the debate on extending working life, it is important to identify vulnerable occupational groups by analysing inequalities in healthy life years. The aim of the study is to analyse partial life expectancy (age 30–65) [1] free of musculoskeletal diseases (MSD) and [2] free of cardiovascular diseases (CVD) in occupational groups with different levels of physical and psychosocial exposures. Methods The study is based on German health insurance claims data from 2015 to 2018. The study population comprises all employed insured persons aged 18 to 65 years (N = 1,528,523). Occupational exposures were assessed using a Job Exposure Matrix. Life years free of MSD / CVD and life years with MSD /CVD during working age were estimated using multistate life tables. Results We found inequalities in MSD-free and CVD-free life years, with less disease-free years among men and women having jobs with high levels of physical and psychosocial exposures. Men with low physical exposures had 2.4 more MSD-free and 0.7 more CVD-free years than men with high physical exposures. Women with low psychosocial exposures had 1.7 MSD-free and 1.0 CVD-free years more than women with high psychosocial exposures. Conclusions Employees in occupations with high physical and psychosocial demands constitute vulnerable groups for reduced life expectancy free of MSD and CVD. Given the inequalities and high numbers of disease-affected life years during working age, the prevention potential of occupational health care and workplace health promotion should be used more extensively.

Abstract Background Chronic cough (CC) is common in the general population of China, creating a difficult-to-ignore public health burden. However, there is a lack of research on the nationwide prevalence and disease burden of CC in the Chinese population. We aim to use an insurance claims database to assess the prevalence and the corresponding economic burden owing to CC in China. Methods This was a retrospective observational study based on an administrative medical insurance database in 2015, 2016 and 2017, from nine cities in North, South, East, South-West, and North-West regions of China. The study population was Chinese adults (≥ 18 years old) who had been identified as CC patients. Descriptive data analyses were used in statistical analysis. Results A total of 44,472, 55,565, and 56,439 patients with mean ages of 53.2 (16.3) years were identified as patients with CC in 2015, 2016, and 2017, respectively. Of these, 55.24% were women. In addition, 8.90%, 9.46%, and 8.37% of all patients in 2015, 2016, and 2017, who had applied for medical insurance, had CC, respectively, with a three-year average probability of 8.88%. The median number of outpatient visits within a calendar year was 27 per year due to any reason during the period of 2015–2017. The median medical cost of each patient per year increased from 935.30 USD to 1191.47 USD from 2015 to 2017. Conclusion CC is common among medical insurance users, with a substantial utilization of medical resources, highlighting the huge burden of CC in China.

Abstract People with diabetes are encouraged to receive diabetes self‐management education and support (DSMES) appropriately. However, in Japan, the implementation rates of DSMES are not known. DSMES implementation rates were calculated using the National Database of claims data, which included nearly all insurance‐covered medical procedures. The study enrolled participants who received regular antidiabetic medications between April 2017 and March 2018. The implementation rates of DSMES‐related care were calculated by characteristics, visiting medical facilities and prefectures. In 4,465,513 participants receiving antidiabetic medications (men, 57.8%; insulin use, 14.1%), nutrition guidance (5.6%) was the most frequently provided care type. Insulin users and participants visiting Japan Diabetes Society‐certified and large medical institutions had higher implementation rates of nutrition guidance. DSMES‐related care might not be provided adequately for Japanese people with diabetes. Further studies are needed to develop an optimal diabetes care system.

Andrea Spini,1 Luca L’Abbate,2 Ylenia Ingrasciotta,1 Giorgia Pellegrini,1 Massimo Carollo,1 Valentina Ientile,2 Olivia Leoni,3 Martina Zanforlini,4 Domenica Ancona,5 Paolo Stella,5 Anna Cavazzana,6 Angela Scapin,6 Sara Lopes,7 Valeria Belleudi,7 Gianluca Trifirò1 1Department of Diagnostics and Public Health, University of Verona, Verona, Italy; 2Department of Biomedical and Dental Sciences and Morphofunctional Imaging, University of Messina, Messina, Italy; 3Lombardy Regional Centre of Pharmacovigilance and Regional Epidemiologic Observatory, Milan, Italy; 4Azienda Regionale per l’Innovazione e gli Acquisti, S.p.A, Milan, Italy; 5Apulian Regional Health Department, Bari, Italy; 6Azienda Zero, Regione Veneto, Italy; 7Department of Epidemiology, Lazio Regional Health Service, Rome, ItalyCorrespondence: Gianluca Trifirò, Department of Diagnostics and Public Health, University of Verona, P. le L.A. Scuro 10, Verona, 37134, Italy, Tel +39 045 802 7679, Email gianluca.trifiro@univr.itPurpose: This research aimed to develop and validate a META-algorithm combining individual immune-mediated inflammatory disease (IMID)-specific algorithms to identify the exact IMID indications for incident biological drug users from claims data within the context of the Italian VALORE project.Methods and Patients: All subjects with at least one dispensing of TNF-alpha inhibitors, anti-interleukin agents, and selective immunosuppressants approved for IMIDs were identified from claims databases of Latium region in Italy (observation period: 2010– 2020). Validated coding algorithms for identifying individual IMIDs from claims databases were found from published literature and combined into a META-algorithm. Positive predictive value (PPV), sensitivity (Se), negative predictive value (NPV), specificity (Sp), and accuracy (Acc) were estimated for each indication against the electronic therapeutic plans (ETPs) of the Latium region as the reference standard. Lastly, the frequency of the indication of use across individual biologic drugs was compared with that reported in three other Italian regions (Lombardy, Apulia, and the Veneto region).Results: In total, 9755 incident biological drug users with a single IMID indication were identified. Using the newly developed META-algorithm, an indication of use was detected in 95% (n=9255) of the total cohort. The estimated Acc, Se, Sp, PPV, and NPV, against the reference standard were as follows: 0.96, 0.86, 0.97, 0.82, and 0.98 for Crohn’s disease, 0.96, 0.80, 0.98, 0.85, and 0.97 for ulcerative colitis, 0.93, 0.76, 0.99, 0.95, and 0.92 for rheumatoid arthritis, 0.97, 0.75, 0.99, 0.85, and 0.98 for spondylarthritis, and 0.91, 0.92, 0.91, 0.88, and 0.94 for psoriatic arthritis/psoriasis, respectively. Additionally, no substantial difference was observed in the frequency of indication of use by active ingredient among Latium and the other three Italian regions included in the study.Conclusion: The newly developed META-algorithm demonstrated high validity estimates in the Italian claims data and was capable of discriminating with good performance among the most frequent IMID indications.Plain Language Summary: In the claims database, the lack of information on the indication of use represents a well-known limitation for the conduct of observational studies. This study was conducted to develop and validate a META-algorithm that accurately identifies the exact indication for the use of biological drugs in treating various immune-mediated inflammatory diseases. Using claims databases from the Latium region, we developed and validated a META-algorithm. The META-algorithm combines disease-specific algorithms for different immune-mediated inflammatory diseases (ie, Crohn’s disease, ulcerative colitis, rheumatoid arthritis, spondyloarthritis, psoriasis, and psoriatic arthritis) and was tested against a reference standard (electronic therapeutic plans of the Lazio region). The META-algorithm reported high validity estimates and was able to distinguish with a good performance among the most frequent IMIDs as indications for use. Applying this META-algorithm may facilitate post-marketing surveillance of biological drugs such as TNF-alpha inhibitors, anti-interleukin, and selective immunosuppressants in specific therapeutic areas in an Italian setting.Keywords: immune-mediated inflammatory diseases, biological drugs, validation, claims data, META-algorithm, indication for use

Background: Since June 2017, oral pre-exposure prophylaxis (PrEP) has been reimbursed in Belgium for people at substantial risk of HIV. To inform the national PrEP programme, we described sociodemographic characteristics of PrEP users, PrEP dispensing practices, testing for HIV and sexually transmitted infections (STIs; gonorrhoea, chlamydia and syphilis), and incidence of HIV and STIs. Methods: Analysis of routinely collected social health insurance claims data from all individuals who were dispensed at least one PrEP prescription between June 2017 and December 2019. Using logistic regression adjusted for age, we examined associations between sociodemographic characteristics and having been dispensed PrEP only once in the first six months of PrEP use. Results: Overall, 4559 individuals were dispensed PrEP. Almost all PrEP users were male (99.2%, 4522/4559), with a median age of 37 years (IQR 30–45). A minority were entitled to an increased healthcare allowance (11.4%, 514/4559). 18% (657/3636) were dispensed PrEP only once in the first six months of PrEP use. PrEP users younger than 25 years, unemployed, entitled to an increased healthcare allowance, and who initiated PrEP between January 2019 and June 2019 were more likely to have had no PrEP dispensing after initiation compared to their counterparts. The testing rates for bacterial STIs and HIV were 4.2 tests per person-year (95% CI 4.1–4.2) and 3.6 tests per person-year (95% CI 3.5–3.6), respectively. Twelve individuals were identified to have seroconverted during the study period, resulting in an HIV incidence rate of 0.21/100 person-years (95% CI 0.12–0.36). The incidence of bacterial STIs was 81.2/100 person-years (95% CI 78.7–83.8). Conclusions: The study highlights challenges in PrEP persistence and a high incidence of bacterial STIs among individuals receiving PrEP. Tailored prevention support is crucial for individuals with ongoing HIV risk to optimise PrEP effectiveness. Integrated STI testing and prevention interventions within PrEP care are necessary to mitigate STI acquisition and transmission among PrEP users. [ABSTRACT FROM AUTHOR]

HIV pre-exposure prophylaxis (PrEP) is a highly effective biomedical prevention for HIV infections. PrEP persistence is critical to achieving optimal protection against HIV infection. However, little is known about PrEP persistence in the United States. This study utilized the Connecticut All-Payer Claims Database (APCD) to identify PrEP persistence among patients who filled their PrEP prescriptions in the state. The authors identified 1,576 PrEP patients who picked up PrEP prescriptions and extracted medical and pharmacy claims to evaluate a longitudinal cohort during 2012–2018 based on the Connecticut APCD. Patients who did not pick up medication for one consecutive month (ie, 30 days) were defined as discontinuing PrEP. Kaplan–Meier Survival Curve and proportional hazard regression were used to describe PrEP persistence. Of the 1,576 patients who picked up PrEP prescriptions, the median age was 32.0 (interquartile range [IQR]: 22.0–44.0). The majority were male individuals (93%). Of 1,040 patients who discontinued PrEP, 702 (67.5%) restarted PrEP at least once. The median time of PrEP persistence was 3 months (IQR: 1–6 months) for initial PrEP use. The median time on PrEP was also around 3 months in the following episodes of PrEP use. Being female, being on parent's insurance, and having high co-pays were associated with shorter periods of PrEP persistence. PrEP persistence was low among patients who picked up PrEP prescriptions. Although many patients restarted PrEP, persistence remained low during follow-up PrEP use and possibly led to periods of increased HIV risk. Effective interventions are needed to improve PrEP persistence and reduce HIV incidence. [ABSTRACT FROM AUTHOR]

Background: The randomized, dose-optimization, open-label ReDOS study in US patients with metastatic colorectal cancer (CRC) showed that, compared with a standard dosing approach, initiating regorafenib at 80 mg/day and escalating to 160 mg/day depending on tolerability increased the proportion of patients reaching their third treatment cycle and reduced the incidence of adverse events without compromising efficacy. Subsequently, the ReDOS dose-escalation strategy was included as an alternative regorafenib dosing option in the National Comprehensive Cancer Network (NCCN) Clinical Practice Guidelines. A retrospective analysis was conducted using a US claims database to assess whether inclusion of this dose-escalation strategy in NCCN Guidelines has influenced the use of flexible dosing in routine US clinical practice, and to describe clinical outcomes pre- and post-inclusion in NCCN Guidelines. Methods: Patients with CRC in the Optum's de-identified Clinformatics® Data Mart database initiating regorafenib for the first time between January 2016 and June 2020 were stratified based on whether they initiated regorafenib pre- or post-inclusion of ReDOS in NCCN Guidelines, and in two groups: flexible dosing (< 160 mg/day; < 84 tablets in the first treatment cycle) and standard dosing (160 mg/day; ≥ 84 tablets in the first treatment cycle). The primary endpoints were the proportion of patients who initiated their third treatment cycle and the mean number of treatment cycles per group. Results: 703 patients initiated regorafenib during the study period, of whom 310 (44%) initiated before and 393 (56%) initiated after inclusion of ReDOS in NCCN Guidelines. After inclusion in the guidelines, the proportion of patients who received flexible dosing increased from 21% (n = 66/310) to 45% (n = 178/393), the proportion who received standard dosing decreased from 79% (n = 244/310) to 55% (n = 215/393), the proportion who initiated their third treatment cycle increased from 36% (n = 113/310) to 46% (n = 179/393), and the mean (standard deviation) number of treatment cycles increased from 2.6 (2.9) to 3.2 (3.1). Conclusions: Following inclusion of ReDOS in NCCN Guidelines, real-world data suggest that US clinicians have markedly increased use of flexible dosing in clinical practice, potentially maximizing clinical benefits and safety outcomes for patients with metastatic CRC receiving regorafenib. [ABSTRACT FROM AUTHOR]

Background: Biologic agents have demonstrated efficacy in treating ulcerative colitis (UC); however, treatment failure to tumor necrosis factor inhibitors (TNFi) is common in the real world. Data on preferential sequencing in clinical practice after failure remain limited. Objectives: This study aimed to evaluate real-world outcomes of patients cycling to TNFis or switching to non-TNFi biologics following first-line failure with TNFis. Design: Retrospective cohort study in Germany. Methods: Adult patients with UC were identified using administrative claims data from 1 May 2014 to 30 June 2022 provided by a statutory sickness fund. Patients newly initiating first-line therapy with TNFis and then switching to another agent were identified. Patients were defined as within-class switched (WCS), if they cycled to another TNFi, or outside-class switchers (OCS), if they switched to a non-TNFi biologic [ustekinumab (UST) or vedolizumab (VDZ)] and followed from index (switch date) to death, insurance end, or study end on 30 June 2022. Inverse probability of treatment weighting (IPTW) was performed to adjust for differences in baseline characteristics between groups, and weighted Cox regression models were used to compare primary (time to discontinuation and second treatment switch) and secondary outcomes (corticosteroid-free drug survival). Results: We identified 166 patients initiating TNFis and switching to a subsequent treatment (mean age: 42.9 years, 49.4% female). Following IPTW, there were 71 and 76 patients in the WCS and OCS groups, respectively. Compared to OCS, WCS were more likely to discontinue the new therapy [hazard ratio (HR), 1.82, 95% confidence interval (CI), 1.14–2.89, p = 0.012], and switch a second time (HR, 3.46, 95% CI, 1.89–6.36, p < 0.001). Moreover, WCS showed an increased likelihood of initiating prolonged corticosteroid therapy (HR, 1.42, 95% CI, 0.77–2.59, p = 0.260); however, the results were not significant. Conclusion: Following first-line TNFi failure, this study suggests that real-world outcomes among patients with UC are less favorable when cycling to another TNFi, compared to switching to a non-TNFi such as UST or VDZ. [ABSTRACT FROM AUTHOR]

Purpose: There is a lack of real‐world data in Asian populations for brigatinib, a next‐generation anaplastic lymphoma kinase (ALK) inhibitor for patients with non‐small cell lung cancer (NSCLC). This study analysed real‐world outcomes and dosing patterns for brigatinib in patients with crizotinib‐refractory ALK+ NSCLC in South Korea. Methods: This retrospective, non‐interventional, cohort study used South Korean Health Insurance and Review Assessment claims data for adults with ALK+ NSCLC who initiated brigatinib between 19 April 2019 and 31 March 2021 after receiving prior crizotinib. Patients' characteristics, time to discontinuation (TTD), time to dose reduction, overall survival (OS) and treatment adherence were assessed. Results: The study included 174 patients (56.9% male; 27.0% with a history of brain metastases). Median duration of prior crizotinib was 17 (range 0.3–48) months. Median follow‐up after brigatinib initiation was 18 (range 0–34) months. Overall, 88.5% of patients received full‐dose brigatinib (180 mg/day) and 93.1% of patients were adherent (proportion of days covered ≥0.8). The median TTD was 24.9 months (95% CI 15.2–not reached). The probability of continuing treatment was 63.2% at 1 year and 51.5% at 2 years. The probability of continuing at full or peak dose was 79.7% at 1 year and 75.6% at 2 years. Median OS was not reached. The 2‐year OS rate was 68.7%. Conclusions: In this first nationwide retrospective study using national insurance claim data, brigatinib demonstrated real‐world clinical benefit as second‐line treatment after prior crizotinib in ALK+ NSCLC patients in South Korea. [ABSTRACT FROM AUTHOR]

Large health insurance claims databases can be used to estimate rates of rare safety outcomes. We measured incidence rates of rare outcomes that could be used to contextualize adverse events among people receiving pneumococcal vaccines in clinical trials or clinical practice. However, algorithms used to identify outcomes in administrative databases are subject to error. Using two algorithms for each outcome, we assessed the influence of algorithm choice on the rates of the outcomes. We used closed administrative medical and pharmacy claims in the Healthcare Integrated Research DatabaseSM (HIRD) to construct a broad cohort of individuals less than 100 years old (i.e., the target cohort) and a trial-similar cohort of individuals resembling those potentially eligible for a vaccine clinical trial (e.g., for a pneumococcal vaccine). We stratified by age and sex and used specific and sensitive algorithms to estimate rates of 39 outcomes including cardiac/cerebrovascular, metabolic, allergic/autoimmune, neurological, and hematologic outcomes. Specific algorithms intended to reduce false positive errors, while sensitive algorithms intended to reduce false negative errors, thereby providing lower and upper bounds for the "true" rates. We followed approximately 40 million individuals in the target cohort for an average of 3 years. Of 39 outcomes, 14 (36 %) had a rate from the specific algorithm that was less than half the rate from the sensitive algorithm. Rates of cardiac/cerebrovascular outcomes were most consistent (mean ratio of rates from specific algorithms compared to rates from sensitive algorithms = 0.76), while the rates of neurological and hematologic outcomes were the least consistent (mean ratio of rates = 0.33 and 0.36, respectively). For many cardiac/cerebrovascular outcomes, rates were similar regardless of the algorithm. For other outcomes, rates varied substantially by algorithm. Using multiple algorithms to ascertain outcomes in claims data can be informative about the extent of uncertainty due to outcome misclassification. [ABSTRACT FROM AUTHOR]

People with diabetes are encouraged to receive diabetes self‐management education and support (DSMES) appropriately. However, in Japan, the implementation rates of DSMES are not known. DSMES implementation rates were calculated using the National Database of claims data, which included nearly all insurance‐covered medical procedures. The study enrolled participants who received regular antidiabetic medications between April 2017 and March 2018. The implementation rates of DSMES‐related care were calculated by characteristics, visiting medical facilities and prefectures. In 4,465,513 participants receiving antidiabetic medications (men, 57.8%; insulin use, 14.1%), nutrition guidance (5.6%) was the most frequently provided care type. Insulin users and participants visiting Japan Diabetes Society‐certified and large medical institutions had higher implementation rates of nutrition guidance. DSMES‐related care might not be provided adequately for Japanese people with diabetes. Further studies are needed to develop an optimal diabetes care system. [ABSTRACT FROM AUTHOR]

Background Diagnosis-code-based algorithms to identify fall injuries in Medicare data are useful for ascertaining outcomes in interventional and observational studies. However, these algorithms have not been validated against a fully external reference standard, in ICD-10-CM, or in Medicare Advantage (MA) data. Methods We linked self-reported fall injuries leading to medical attention (FIMA) from the Strategies to Reduce Injuries and Develop Confidence in Elders (STRIDE) trial (reference standard) to Medicare fee-for-service (FFS) and MA data from 2015–19. We measured the area under the receiver operating characteristic curve (AUC) based on sensitivity and specificity of a diagnosis-code-based algorithm against the reference standard for presence or absence of ≥1 FIMA within a specified window of dates, varying the window size to obtain points on the curve. We stratified results by source (FFS vs MA), trial arm (intervention vs control), and STRIDE's 10 participating health care systems. Results Both reference standard data and Medicare data were available for 4 941 (of 5 451) participants. The reference standard and algorithm identified 2 054 and 2 067 FIMA, respectively. The algorithm had 45% sensitivity (95% confidence interval [CI]: 43%–47%) and 99% specificity (95% CI: 99%–99%) to identify reference standard FIMA within the same calendar month. The AUC was 0.79 (95% CI: 0.78–0.81) and was similar by FFS or MA data source and by trial arm but showed variation among STRIDE health care systems (AUC range by health care system, 0.71 to 0.84). Conclusions An ICD-10-CM algorithm to identify fall injuries demonstrated acceptable performance against an external reference standard, in both MA and FFS data. [ABSTRACT FROM AUTHOR]

Aim: We aimed to develop a risk score to calculate a person's individual risk for a severe COVID-19 course (POINTED score) to support prioritization of especially vulnerable patients for a (booster) vaccination. Subject and methods: This cohort study was based on German claims data and included 623,363 individuals with a COVID-19 diagnosis in 2020. The outcome was COVID-19 related treatment in an intensive care unit, mechanical ventilation, or death after a COVID-19 infection. Data were split into a training and a test sample. Poisson regression models with robust standard errors including 35 predefined risk factors were calculated. Coefficients were rescaled with a min–max normalization to derive numeric score values between 0 and 20 for each risk factor. The scores' discriminatory ability was evaluated by calculating the area under the curve (AUC). Results: Besides age, down syndrome and hematologic cancer with therapy, immunosuppressive therapy, and other neurological conditions were the risk factors with the highest risk for a severe COVID-19 course. The AUC of the POINTED score was 0.889, indicating very good predictive validity. Conclusion: The POINTED score is a valid tool to calculate a person's risk for a severe COVID-19 course. [ABSTRACT FROM AUTHOR]

Strokes remain a leading cause of death and disability worldwide. The STROKE OWL study evaluated a novel case management approach for patients with stroke (modified Rankin Scale 0–4) or transient ischemic attack (TIA) who received support across healthcare settings and secondary prevention training from case managers for one year. The primary aim of this quasi-experimental study was a reduction in stroke recurrence. Here, we report the results of a health economic analysis of the STROKE OWL study, conducted in accordance with CHEERS guidelines. The calculations were based on claims data of cooperating statutory health insurance companies. In addition to a regression analysis for cost comparison, the incremental cost-effectiveness ratio was determined, and a probabilistic sensitivity analysis was carried out. In total, 1167 patients per group were included in the analysis. The intervention group incurred 32.3% higher direct costs (p < 0.001) than the control group. With a difference of EUR 1384.78 (95% CI: [1.2384–1.4143], p < 0.0001) and a 5.32% increase in hazards for the intervention group (HR = 1.0532, 95% CI: [0.7869–1.4096], p = 0.7274) resulting in an ICER of EUR 260.30, we found that the case management intervention dominated in the total stroke population, even for an arbitrarily high willingness to pay. In the TIA subgroup, however, the intervention was cost-effective even for a low willingness to pay. Our results are limited by small samples for both TIA and severe stroke patients and by claims data heterogeneity for some cost components, which had to be excluded from the analysis. Future research should investigate the cost-effectiveness of case management interventions for both severe stroke and TIA populations using appropriate data. [ABSTRACT FROM AUTHOR]

Introduction: Duchenne muscular dystrophy (DMD) is a rare, severe progressive neuromuscular disease. Health insurance claims allow characterization of population-level real-world outcomes, based on observed healthcare resource use. An analysis of data specific to those with Medicaid insurance is presently unavailable. The objective was to describe the real-world clinical course of DMD based on claims data from Medicaid-insured individuals in the USA. Methods: Individuals with DMD were identified from the MarketScan Multi-State Medicaid datasets (2013–2018). Diagnosis and procedure codes from healthcare claims were used to characterize the occurrence of DMD-relevant clinical observations; categories were scoliosis, cardiovascular-related, respiratory and severe respiratory-related, and neurologic/neuropsychiatric. Age-restricted analyses were conducted to focus on the ages at which DMD-relevant clinical observations were more likely to be captured, and to better understand the impact of both age and follow-up time. Results: Of 2007 patients with DMD identified, median (interquartile range) age at index was 14 (9–20) years, and median follow-up was 3.1 (1.6–4.7) years. Neurologic and neuropsychiatric observations were most frequently identified, among 49.3% of the cohort; followed by cardiovascular (48.5%), respiratory (38.1%), scoliosis (36.3%), and severe respiratory (25.0%). Prevalence estimates for each category were higher when analyzed within age-restricted subgroups; and increased as follow-up time increased. Conclusions: This study is the first to use diagnosis and procedure codes from real-world Medicaid claims to document the clinical course in DMD. Findings were consistent with previously published estimates from commercially insured populations and clinical registries; and contribute to the expanding body of real-world evidence around clinical progression of patients with DMD. [ABSTRACT FROM AUTHOR]

Background: Several studies have investigated post‐extraction bleeding in patients on antithrombotic therapy, but most included a small sample size. Objective: This study aimed to analyse post‐extraction bleeding in patients on antithrombotic therapy using data from a large database. Materials and Methods: Claims data of National Health Insurance and Late‐Stage Elderly Healthcare System enrollees who underwent tooth extraction between October 2014 and March 2019 (n = 107 767) in a large multiregional cohort study (Longevity Improvement and Fair Evidence study) were included. Antithrombotic therapy was determined based on the drug codes used at the time of tooth extraction (classified into six groups: no antithrombotic, single antiplatelet, dual antiplatelet, Direct Oral Anticoagulant, warfarin and combined antiplatelet and anticoagulant therapies). The outcome was defined as the presence of "post‐extraction bleeding" as a receipt disease name in the same month as tooth extraction. To examine the association between antithrombotic therapy and post‐extraction bleeding in detail, multiple logistic regression analysis was performed with post‐extraction bleeding as the objective variable; each antithrombotic therapy as the explanatory variable; and age, sex and comorbidities as adjustment variables. Results: Antithrombotic therapy was administered in 14 343 patients (13.3%), and post‐extraction bleeding was observed in 419 patients (0.4%). The rate of post‐extraction bleeding was significantly lower in the no antithrombotic therapy and single antiplatelet groups than that in the other groups (odds ratio: 2.00–9.02). Conclusion: The frequency of post‐extraction bleeding is high in patients on anticoagulation or dual antithrombotic therapy. Therefore, careful preparation before extraction is necessary in these patients. [ABSTRACT FROM AUTHOR]

Primary care physicians (PCPs) play an indispensable role in providing comprehensive care and referring patients for specialty care and other medical services. As the COVID-19 outbreak disrupts patient access to care, understanding the quality of primary care is critical at this unprecedented moment to support patients with complex medical needs in the primary care setting and inform policymakers to redesign our primary care system. The traditional way of collecting information from patient surveys is time-consuming and costly, and novel data collection and analysis methods are needed. In this review paper, we describe the existing algorithms and metrics that use the real-world data to qualify and quantify primary care, including the identification of an individual's likely PCP (identification of plurality provider and major provider), assessment of process quality (for example, appropriate-care-model composite measures), and continuity and regularity of care index (including the interval index, variance index and relative variance index), and highlight the strength and limitation of real world data from electronic health records (EHRs) and claims data in determining the quality of PCP care. The EHR audits facilitate assessing the quality of the workflow process and clinical appropriateness of primary care practices. With extensive and diverse records, administrative claims data can provide reliable information as it assesses primary care quality through coded information from different providers or networks. The use of EHRs and administrative claims data may be a cost-effective analytic strategy for evaluating the quality of primary care.

BackgroundLimited real-world evidence is available for patients with diffuse large B-cell lymphoma (DLBCL) who received an autologous stem cell transplantation (ASCT) in Germany.ObjectivesThis study aims to describe the real-world survival outcomes of patients with DLBCL who received ASCT in Germany after diagnosis.DesignThis study is a retrospective database analysis covering the period between 2010 and 2019.MethodsUnadjusted overall survival (OS) was plotted using the Kaplan–Meier estimator for the overall population and stratified by relapse status. A Cox regression was run to identify factors that influence OS.ResultsA total of 112 patients received an ASCT, with the average time from first-line treatment to ASCT being 11.7 months. The median OS estimated by Kaplan–Meier was 83.4 months for the entire cohort. The only variable that significantly reduced the OS was the presence of subsequent treatment after ASCT in a time-dependent model.ConclusionOS after ASCT for DLBCL patients in Germany is higher than previously reported and may still be considered a valid option for carefully selected patients with relapsed/refractory DLBCL.

Abstract Background & aims Despite its high prevalence in the western world metabolic dysfunction-associated steatotic liver disease (MASLD) does not benefit from targeted pharmacological therapy. We measured healthcare utilisation and identified factors associated with high-cost MASLD patients in France. Methods The prevalent population with MASLD (including non-alcoholic steatohepatitis) in the CONSTANCES cohort, a nationally representative sample of 200,000 adults aged between 18 and 69, was linked to the French centralised national claims database (SNDS). Study participants were identified by the fatty liver index (FLI) over the period 2015–2019. MASLD individuals were classified according as “high-cost” (above 90th percentile) or “non-high cost” (below 90th percentile). Factors significantly associated with high costs were identified using a multivariate logistic regression model. Results A total of 14,437 predominantly male (69%) participants with an average age of 53 ± SD 12 years were included. They mainly belonged to socially deprived population groups with co-morbidities such as diabetes, high blood pressure, mental health disorders and cardiovascular complications. The average expenditure was €1860 ± SD 4634 per year. High-cost MASLD cost €10,863 ± SD 10,859 per year. Conditions associated with high-cost were mental health disorders OR 1.79 (1.44–2.22), cardiovascular diseases OR 1.54 (1.21–1.95), metabolic comorbidities OR 1.50 (1.25–1.81), and respiratory disease OR 1.50 (1.11–2.00). The 10% high-cost participants accounted for 58% of the total national health care expenditures for MASLD. Conclusion Our results emphasize the need for comprehensive management of the comorbid conditions which were the major cost drivers of MASLD. Graphical Abstract

Abstract Background Due to unidentified geriatric needs, elderly patients have a higher risk for developing chronic conditions and acute medical complications. Early geriatric screenings and assessments help to identify geriatric needs. Holistic and coordinated therapeutic approaches addressing those needs maintain the independence of elderly patients and avoid adverse effects. General practitioners are important for the timely identification of geriatric needs. The aims of this study are to examine the spatial distribution of the utilization of outpatient geriatric services in the very rural Federal State of Mecklenburg-Western Pomerania in the Northeast of Germany and to identify regional disparities. Methods Geographical analysis and cartographic visualization of the spatial distribution of outpatient geriatric services of patients who are eligible to receive basic geriatric care (BGC) or specialized geriatric care (SGC) were carried out. Claims data of the Association of Statutory Health Insurance Physicians in Mecklenburg-Western Pomerania were analysed on the level of postcode areas for the quarter periods between 01/2014 and 04/2017. A Moran’s I analysis was carried out to identify clusters of utilization rates. Results Of all patients who were eligible for BGC in 2017, 58.3% (n = 129,283/221,654) received at least one BCG service. 77.2% (n = 73,442/95,171) of the patients who were eligible for SGC, received any geriatric service (BGC or SGC). 0.4% (n = 414/95,171) of the patients eligible for SGC, received SGC services. Among the postcode areas in the study region, the proportion of patients who received a basic geriatric assessment ranged from 3.4 to 86.7%. Several regions with statistically significant Clusters of utilization rates were identified. Conclusions The widely varying utilization rates and the local segregation of high and low rates indicate that the provision of outpatient geriatric care may depend to a large extent on local structures (e.g., multiprofessional, integrated networks or innovative projects or initiatives). The great overall variation in the provision of BGC services implicates that the identification of geriatric needs in GPs’ practices should be more standardized. In order to reduce regional disparities in the provision of BGC and SGC services, innovative solutions and a promotion of specialized geriatric networks or healthcare providers are necessary.

Background: Acute pulmonary embolism (PE) is a life-threatening in-hospital complication. Recently, several studies have reported the clinical characteristics of PE among Japanese patients using the diagnostic procedure combination (DPC)/per diem payment system database. However, the validity of PE identification algorithms for Japanese administrative data is not yet clear. The purpose of this study was to evaluate the validity of using DPC data to identify acute PE inpatients. Methods: The reference standard was symptomatic/asymptomatic PE patients included in the COntemporary ManageMent AND outcomes in patients with Venous ThromboEmbolism (COMMAND VTE) registry, which is a cohort study of acute symptomatic venous thromboembolism (VTE) patients in Japan. The validation cohort included all patients discharged from the six hospitals included in both the registry and DPC database. The identification algorithms comprised diagnosis, anticoagulation therapy, thrombolysis therapy, and inferior vena cava filter placement. Each algorithm’s sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were estimated. Results: A total of 43.4% of the validation cohort was female, with a mean age of 67.3 years. The diagnosis-based algorithm showed a sensitivity of 90.2% (222/246; 95% confidence interval [CI], 85.8–93.6%), a specificity of 99.8% (228,485/229,027; 95% CI, 99.7–99.8%), a PPV of 29.1% (222/764; 95% CI, 25.9–32.4%) and an NPV of 99.9% (228,485/229,509; 95% CI, 99.9–99.9%) for identifying symptomatic/asymptomatic PE. Additionally, 94.6% (159/168; 95% CI, 90.1–97.5%) of symptomatic PE patients were identified using the diagnosis-based algorithm. Conclusion: The diagnosis-based algorithm may be a relatively sensitive method for identifying acute PE inpatients in the Japanese DPC database.

Identifying patients with rare diseases like alpha-1 antitrypsin deficiency (AATD) is challenging. Machine-learning models may be trained to identify patients with rare diseases using large-scale, real-world databases, whereas electronic medical records have low numbers of confirmed cases and have limited use in training such models. We applied a machine-learning model to a large US claims database to identify undiagnosed symptomatic patients with AATD. Using deidentified data from the Komodo US claims database (April 26, 2016–January 31, 2023), a model was trained to identify symptomatic patients with high probability of AATD. Eighty claims records for high-probability candidates identified by the model were independently reviewed and validated by 2 clinical experts. The experts independently indicated that of the 80 high-probability candidate patients, 65 (81%) and 62 (78%) patients, respectively, should be tested for AATD. Feedback from this validation step informed model optimization. The optimized model was applied to claims data to identify symptomatic patients with probable AATD. Eleven and 14 “features” of the claims data were informative in distinguishing patients with AATD from patients with COPD without AATD and from unspecified chronic liver diseases. Moreover, patients with diagnosed AATD and COPD without AATD had unique cadences of similar medical events in their diagnostic journeys. Our work shows that a machine-learning model trained on a large US claims database can accurately identify symptomatic patients with AATD and provides useful insights into the diagnostic journey of patients with AATD.

BACKGROUND: To define a method for identifying neonatal intensive care unit (NICU) admissions using administrative claims data. METHODS: This was a retrospective cohort study using claims from Optums de-identified Clinformatics® Data Mart Database (CDM) from 2016 -2020. We developed a definition to identify NICU admissions using a list of codes from the International Classification of Diseases, 10th Revision, Clinical Modification (ICD-10-CM), Current Procedural Terminology (CPT), and revenue codes frequently associated with NICU admissions. We compared agreement between codes using Kappa statistics and calculated positive predictive values (PPV) and 95% confidence intervals (CI). RESULTS: On average, revenue codes (3.3%) alone identified more NICU hospitalizations compared to CPT codes alone (1.5%), whereas the use of CPT and revenue (8.9%) and CPT or revenue codes (13.7%) captured the most NICU hospitalizations, which aligns with rates of preterm birth. Gestational age alone (4.2%) and birthweight codes alone (2.0%) identified the least number of potential NICU hospitalizations. Setting CPT codes as the standard and revenue codes as the test, revenue codes resulted in identifying 86% of NICU admissions (sensitivity) and 97% of non-NICU admissions (specificity). CONCLUSIONS: Using administrative data, we developed a robust definition for identifying neonatal admissions. The identified definition of NICU codes is easily adaptable, repeatable, and flexible for use in other datasets.

BACKGROUND: Measuring multimorbidity in claims data is used for risk adjustment and identifying populations at high risk for adverse events. Multimorbidity indices such as Charlson and Elixhauser scores have important limitations. We sought to create a better method of measuring multimorbidity using claims data by incorporating geriatric conditions, markers of disease severity, and disease-disease interactions, and by tailoring measures to different outcomes. METHODS: Health conditions were assessed using Medicare inpatient and outpatient claims from subjects age 67 and older in the Health and Retirement Study. Separate indices were developed for ADL decline, IADL decline, hospitalization, and death, each over 2 years of follow-up. We validated these indices using data from Medicare claims linked to the National Health and Aging Trends Study. RESULTS: The development cohort included 5012 subjects with median age 76 years; 58% were female. Claims-based markers of disease severity and disease-disease interactions yielded minimal gains in predictive power and were not included in the final indices. In the validation cohort, after adjusting for age and sex, c-statistics for the new multimorbidity indices were 0.72 for ADL decline, 0.69 for IADL decline, 0.72 for hospitalization, and 0.77 for death. These c-statistics were 0.02-0.03 higher than c-statistics from Charlson and Elixhauser indices for predicting ADL decline, IADL decline, and hospitalization, and