Medicare Dataset Research Articles

Characteristics of nursing homes with high rates of invasive methicillin-resistant Staphylococcus aureus infections.

Nursing home residents experience a large burden of invasive methicillin-resistant Staphylococcus aureus (MRSA) infections. Data are limited regarding nursing home characteristics associated with differences in facility-level invasive MRSA rates. We analyzed 2011-2015 data from CDC's Emerging Infections Program (EIP) active population- and laboratory-based surveillance for invasive MRSA cases within seven states. A nursing home-onset case was defined as MRSA cultured from a normally sterile site in a person living in a nursing home 3 days before culture collection. Facility rates were calculated as nursing home-onset cases per 100,000 resident-days. Nursing home resident-day denominators and facility characteristics were obtained from four Centers for Medicare & Medicaid Services (CMS) datasets. A general estimating equations model with a logit link assessed characteristics of the facilities with highest rates comprising 50% of nursing home MRSA cases ("high rates"). The 626 nursing homes in the surveillance area had 2824 invasive MRSA cases; 82% of facilities had at ≥1 case. The 20% of facilities with highest rates (≥3.84 cases/100,000 resident-days) had 50% of nursing home-onset cases. In multivariable regression, facilities with high rates were more likely to have CMS-derived characteristics of presence of a resident with a multidrug-resistant organism; or greater proportions of residents who were male, were short stay (in the facility <100 days), had a nasogastric or percutaneous gastrostomy tube, or require extensive assistance with bed repositioning; and more likely to be in an EIP area with higher hospital-onset MRSA rates. Higher registered nurses staffing levels (hours/resident/day) and higher proportions of White residents were associated with lower rates. Facilities with higher invasive MRSA rates served residents with more clinical and functional care needs. Increasing registered nurse staffing in high-risk facilities might assist with reduction of invasive MRSA rates. These findings could help prioritize nursing homes for future MRSA prevention work.

Long-Stay Nursing Home Residents with Dementia: Telemedicine Mental Health Use during the COVID-19 Pandemic.

To examine racial and ethnic differences in telemedicine mental health (tele-MH) use among nursing home (NH) long-stay residents with Alzheimer's disease and related dementias (ADRD) during the pandemic. Observational study. The 2020-2021 Minimum Data Set 3.0, Medicare datasets, and Nursing Home Compare data were linked. A total of 259,467 NH long-stay residents with ADRD and 14,159 NHs were included. The outcome variable was the percentage of NH ADRD long-stayers who used tele-MH in 2021. The main independent variables were NH racial and ethnic compositions (ie, percentages of Black and Hispanic residents) and individual race and ethnicity. We conducted a set of logistic regression models with NH random effect. We first included only individual characteristics and then added NH characteristics. Approximately 7% and 35% of the study cohort had tele-MH use and MH use in 2021, respectively. In our study cohort, 13.7% were Black, 6.6% were Hispanic, and 79.7% were white residents. The mean age was 83.4. After adjusting for NH characteristics, we found residents in NHs with a high proportion of Hispanic residents were more likely to use tele-MH both compared with those in NHs with a low proportion [odds ratio (OR), 1.867; 95% CI, 1.566-2.226], whereas residents in NHs with a high proportion of Black residents were less likely to use tele-MH both compared with those in NHs with a low proportion (OR, 0.843; 95% CI, 0.928-0.997). Telemedicine may offer an opportunity for NHs with a higher proportion of Hispanic residents to better address their needs for MH services. However, NHs with a higher proportion of Black residents may face challenges in telemedicine adoption. Future studies are needed to better understand factors that could impact tele-MH use in NHs and reasons that lead to racial and ethnic differences.

Guideline Concordant Extended Pharmacologic Venous Thromboembolism Prophylaxis Utilization After Colorectal Cancer Resection Is Low Regardless of Patient Factors or Hospital Characteristics.

Venous thromboembolism after colorectal cancer resection is common and highly morbid. Extended pharmacologic venous thromboembolism prophylaxis after cancer surgery lowers venous thromboembolism risk and is recommended by major professional societies. Adherence is low in contemporary local and regional studies. Assess patient and hospital factors associated with receipt of prophylaxis after colorectal cancer surgery in a national data set. Retrospective cohort study. Surveillance, epidemiology, and end results Medicare dataset. Patients over age 64 undergoing resection for colorectal cancer between 2016 and 2017. Primary outcome was receipt of prophylaxis within 7 days of discharge. Patient and hospital factors associated with receiving prophylaxis were identified using multivariable logistic regression. Secondary outcomes included 30- and 90-day venous thromboembolism. Of 23,527 patients, 4.7% received prophylaxis. Utilization increased from 2016 to 2017 (3.9% vs. 5.5%; p < 0.001). Patients treated at National Cancer Institute designated hospitals received prophylaxis more frequently than teaching, non-National Cancer Institute hospitals and non-teaching, non-National Cancer Institute hospitals (10.2% vs. 5.6% vs. 1.7%; p < 0.001). Patients receiving care at larger hospitals by bed size quartile were more likely to receive prophylaxis compared to those at smaller hospitals (9.0% vs. 4.0% vs. 3.4% vs. 2.2%; p < 0.01). On multivariable regression, National Cancer Institute status, larger bed size, White race (compared to other), rectal tumor location and more recent year of treatment were independently associated with prophylaxis utilization. Venous thromboembolism events at 30- and 90-days were 1.87% and 2.63%, respectively. Prophylaxis was associated with decreased 30-day venous thromboembolism (1.26% vs. 1.9%; p = 0.1211). Retrospective, large database study. Utilization of prophylaxis after colorectal cancer surgery remains limited even in large, specialized hospitals. Further work is needed to understand this departure from guideline concordant care. See Video Abstract.

Differences in Medicare payment and practice characteristics for orthopedic surgery subspecialties

Background Medicare payment, practice, and patient characteristics give perspective on the lifestyle, challenges, and attractiveness unique to each orthopedic surgery subspecialty. Changes to Medicare reimbursement may also affect health care delivery, warranting policy change. We analyzed differences in orthopedic surgery subspecialty characteristics and Medicare payments. Methods The Centers for Medicare and Medicaid Services data set was filtered by Current Procedural Terminology (CPT) codes unique to each orthopedic surgery subspecialty in 2019. After filtering by unique CPT codes, 100 randomized physicians were validated for each subspecialty: adult reconstruction and arthroplasty, trauma, sports medicine, hand surgery, shoulder and elbow surgery, foot and ankle surgery, and spine surgery. Data gathered included unique procedural codes, number of beneficiaries, services provided, and the total Medicare allowed amount. Differences were assessed with post hoc tests. Subspecialty changes in Medicare payment were assessed using the Physician Fee Schedule and compared using a single-factor analysis of variance. Results On average, hand surgery recorded the most unique CPT codes (106) and the highest volume of beneficiaries (571). Adult reconstruction and arthroplasty had the fewest unique codes (60) and the greatest total Medicare payment ($328,000). Spine surgery had the lowest number of beneficiaries (387) and lowest number of services provided (1752). Lastly, sports medicine provided the largest volume of services (4221). Mean total codes, unique codes, and total patients differed between subspecialties. Varying differences in average Medicare payment, total billed codes, total unique codes, total patients, patient race, patient age, patient sex, and patient health were found for all orthopedic surgery subspecialties in 2019. Conclusions These data may illustrate financial incentives for orthopedic surgery residents to pursue certain subspecialties.

External Validation of the Neiman Imaging Comorbidity Index in Medicare, Medicaid, and Private Payer Claims Data.

The Neiman Imaging Comorbidity Index (NICI) was developed and validated in a claims dataset encompassing >10 million privately insured beneficiaries, in which it outperformed the commonly used Charlson Comorbidity Index (CCI) in predicting advanced imaging use. This external validation assessed the broader generalizability of NICI for predicting receipt of advanced imaging in nationally representative populations, including patients insured by Medicare, Medicaid, and private payers. All 2018 to 2019 patient-level claims from the CMS Medicare 5% Research Identifiable File, CMS Medicaid 100% Research Identifiable File, and private insurance (commercial and Medicare Advantage) claims from Inovalon Insights, LLC, were included. Using 2018 comorbidity data, beneficiaries were assigned CCI and NICI. Area under the receiver operator characteristic curves (AUCs) measured index performance predicting advanced imaging in 2019. AUCs for NICI and CCI were compared overall, across age groups, and after adjusting for age and sex. A total of 108,846,549 beneficiaries were included across Medicare (n= 2,536,403), Medicaid (n= 49,685,052), and private insurance (n= 56,625,094) datasets. NICI outperformed CCI in Medicare (AUC: 0.7709, 95 confidence interval [CI]: 0.7702-0.7716 versus AUC: 0.7503, 95% CI: 0.7496-0.7510; P < .001), Medicaid (AUC: 0.6876, 95% CI: 0.6874-0.6878 versus AUC: 0.6798 95% CI: 0.6796-0.6800]; P < .001), and private insurance data (AUC: 0.6658, 95% CI: 0.6656-0.6660 versus AUC: 0.6479, 95% CI: 0.6477-0.6481; P < .001). NICI outperformed CCI in adjusted models and in nearly all age strata across the three cohorts. The NICI outperformed CCI in predicting advanced imaging in populations insured by numerous different payers. Validation data support NICI as the preferred index to adjust for patient comorbidities when studying advanced imaging as an outcome, but further investigations are warranted.

Medicare fraud detection: a comparative study on the effectiveness of one-class and binary classification models

Research into Medicare fraud detection that utilizes machine learning methodologies is of great national interest due to the significant fiscal ramifications of this type of fraud. Our big data analysis pertains to three Medicare datasets: Part B, Part D, and DMEPOS. In this paper, One-Class Classification (OCC) and binary classification approaches are evaluated with six different classifiers. We note that when a practitioner is faced with a high cost or unreasonable wait associated with acquiring a second label for binary classification, OCC may intuitively seem like the better alternative. The evaluative metrics used in our study are Area Under the Receiver Operating Characteristic Curve (AUC) and Area Under the Precision-Recall Curve (AUPRC). As a result of our investigation, binary classification was found to be more effective than OCC in detecting Medicare fraud. Additionally, we determined that gradient-boosting algorithms, specifically CatBoost and XGBoost, yield the most robust performance.

BalancerGNN: Balancer Graph Neural Networks for imbalanced datasets: A case study on fraud detection

Fraud detection for imbalanced datasets is challenging due to machine learning models inclination to learn the majority class. Imbalance in fraud detection datasets affects how graphs are built, an important step in many Graph Neural Networks (GNNs). In this paper, we introduce our BalancerGNN framework to tackle with imbalanced datasets and show its effectiveness on fraud detection. Our framework has three major components: (i) node construction with feature representations, (ii) graph construction using balanced neighbor sampling, and (iii) GNN training using balanced training batches leveraging a custom loss function with multiple components. For node construction, we have introduced (i) Graph-based Variable Clustering (GVC) to optimize feature selection and remove redundancies by analyzing multi-collinearity and (ii) Encoder-Decoder based Dimensionality Reduction (EDDR) using transformer-based techniques to reduce feature dimensions while keeping important information intact about textual embeddings. Our experiments on Medicare, Equifax, IEEE, and auto insurance fraud datasets highlight the importance of node construction with features representations. BalancerGNN trained with balanced batches consistently outperforms other methods, showing strong abilities in identifying fraud cases, with sensitivity rates ranging from 72.87% to 81.23% across datasets while balancing specificity. Additionally, BalancerGNN achieves impressive accuracy rates, ranging from 73.99% to 94.28%. These outcomes underscore the crucial role of graph representation and neighbor sampling techniques in optimizing BalancerGNN for fraud detection models in real-world applications.

A Machine Learning Approach to Identifying Wrong-Site Surgeries Using Centers for Medicare and Medicaid Services Dataset: Development and Validation Study (Preprint)

A Machine Learning Approach to Identifying Wrong-Site Surgeries Using Centers for Medicare and Medicaid Services Dataset: Development and Validation Study (Preprint)

Doubly-robust and heteroscedasticity-aware sample trimming for causal inference

SUMMARY A popular method for variance reduction in causal inference is propensity-based trimming, the practice of removing units with extreme propensities from the sample. This practice has theoretical grounding when the data are homoscedastic and the propensity model is parametric (Yang &amp; Ding, 2018; Crump et al., 2009), but in modern settings where heteroscedastic data are analyzed with non-parametric models, existing theory fails to support current practice. In this work, we address this challenge by developing new methods and theory for sample trimming. Our contributions are three-fold: first, we describe novel procedures for selecting which units to trim. Our procedures differ from previous works in that we trim not only units with small propensities, but also units with extreme conditional variances. Second, we give new theoretical guarantees for inference after trimming. In particular, we show how to perform inference on the trimmed sub-population without requiring that our regressions converge at parametric rates. Instead, we make only fourth-root rate assumptions like those in the double machine learning literature. This result applies to conventional propensity-based trimming as well and thus may be of independent interest. Finally, we propose a bootstrap-based method for constructing simultaneously valid confidence intervals for multiple trimmed sub-populations, which are valuable for navigating the trade-off between sample size and variance reduction inherent in trimming. We validate our methods in simulation, on the 2007-2008 National Health and Nutrition Examination Survey, and on a semi-synthetic Medicare dataset and find promising results in all settings.

Opting out of Medicare: Characteristics and differences between optometrists and ophthalmologists.

To determine the rate of Medicare opt-out among optometrists and ophthalmologists and to contrast the differences in the characteristics and geographic distribution of these populations. A retrospective cross-sectional study. Using a publicly available Centers for Medicare & Medicaid Services (CMS) data set, we collated data for ophthalmologists and optometrists who opted out in each year between 2005 and 2023. We calculated the rate of opt-out annually in each year window and cumulatively from 2005 to 2023. Comparative analysis was used to identify clinician characteristics associated with opt-out. Both annual and cumulative rate of ophthalmologist and optometrist opt-out from Medicare. The estimated prevalence of Medicare opt-outs was 0.52% (77/14,807) for ophthalmologists and 0.38% (154/40,526) for optometrists. Ophthalmologists opting out were predominantly male (67.5%), had a longer practice duration (average 31.8 years), and were more often located in urban areas (83.1%), compared to optometrists (53.2% male, average 19.6 years in practice, 59.1% in urban areas, p = 0.04, p<0.001, p<0.001 respectively). Approximately 83% of ophthalmologists were either anterior segment or oculoplastics specialties, while the majority (52.1%) of optometrists were in optometry-only practices; >75% of identified clinicians were in private practice. Geographical distribution across the US showed variable opt-out rates, with the top 3 states including Oklahoma (3.4%), Arizona (2.1%), and Kansas (1.6%) for ophthalmology and Idaho (4.3%), Montana (3.1%), and Wyoming (1.4%) for optometry. Few ophthalmologists and optometrists opt-out of Medicare but this trend has significantly increased since 2012. Of those who disenrolled from Medicare, 83% of ophthalmologists were in urbanized areas while 41% of optometrists were in non-urbanized areas. Because reasons for Medicare opt-out cannot be solely determined by administrative data, further investigation is warranted given the potential impact on healthcare accessibility.

A Retrospective Cohort Analysis Comparing the Costs of Ankle Fracture Fixation in Orthopaedics and Podiatry in a U.S. Medicare Limited Data Set.

Increasing overlap exists between surgeries performed by podiatrists and orthopaedic surgeons. Large-scale cost comparisons between the two are lacking despite the current climate of cost containment in health care. Using national Medicare data, we aimed to compare per-case Medicare payments between podiatrists and orthopaedic surgeons for ankle fracture fixation. This retrospective cohort study included patients in an outpatient setting undergoing either unimalleolar, bimalleolar, or trimalleolar ankle fracture repair from the national Medicare Limited Data Set (2013-2019). Type of surgeon (podiatrist or orthopaedic surgeon) was determined using publicly available information. The primary outcome was total Medicare payments specific to the procedure, as a surrogate for cost. A subset analysis was also done to directly compare costs of orthopaedic surgeons to podiatric surgeons while excluding other fees (eg, hospital facility fees and surgery-related imaging payments). Additionally, patient demographics and hospital characteristics were compared to determine if any factors associated with costs may influence group differences. Univariable tests assessed significance of group differences. Overall, 16 927 unimalleolar, 17 244 bimalleolar, and 11 717 trimalleolar fracture repairs were included; 86.7% and 13.3%, 92.4% and 7.6%, and 92.2% and 7.8% were performed by an orthopaedic surgeon or podiatrist, respectively. Median age (70-71 years) and median Charlson-Deyo Comorbidity Index (0) did not significantly differ between patients treated by either surgeon type. Median procedure-specific Medicare payments for all 3 categories of ankle fracture repairs (uni-, bi-, trimalleolar) were significantly lower for orthopaedic surgeons compared to podiatrists: $4156 vs $4300, $4205 vs $4379, and $4396 vs $4525, respectively (all P < .001). Our investigation using a national Medicare data set (2013-2019) found that the 3 types of ankle fractures (unimalleolar, bimalleolar, and trimalleolar) performed by orthopaedic surgeons in an outpatient setting were less expensive and that cost differences do not appear to be driven by patient characteristics. These results and further research into the causes of the cost differences may help improve the cost-effectiveness of ankle fracture surgery.

Disparities in Dual-energy X-ray Absorptiometry Scan Utilization Across Race/Ethnic Groups Before and After Hip Fractures.

Geriatric hip fractures are common and important sentinel events regarding bone health. Although dual x-ray absorptiometry (DEXA) scans are a standard method for determining bone density, differences in use among various race/ethnic groups around the time of hip fracture may reveal disparities within the healthcare system. The 2014 to 2016 Medicare Standard Analytic Files PearlDiver data set was used to identify geriatric patients sustaining hip fracture. From that cohort, those who had a DEXA scan before or after their fracture were defined. For the defined cohorts, patient age, sex, Elixhauser Comorbidity Index, race/ethnicity, and income (based on zip code) were defined and compared with univariate and multivariate analyses. Of 58,099 hip fracture patients, only 19.8% had had a DEXA scan before fracture and 3.9% of the remaining group had the DEXA scan after fracture. Of the hip fracture population, 91.0% identified as White and 9.0% as non-White (Native American, Black, Hispanic, Asian, or Other). Before hip fracture, controlling for other variables and compared with White patients, all non-White categories were at lesser odds of having had the DEXA scan. After hip fracture, Black, Hispanic, and other patients were also at lesser odds of having the DEXA scan. Using a large Medicare data set, controlling for patient age, sex, Elixhauser Comorbidity Index, and income marker, this study revealed disparities in DEXA scan utilization across race/ethnic groups before and after presenting with a hip fragility fracture. Identification of such disparities highlights the needs for improved medical access and care for this at-risk hip fracture population.

Provider care segregation and hospital-region racial disparities for carotid interventions in the USA

BackgroundReasons for racial disparities in the utilization and outcomes of carotid interventions (carotid endarterectomy (CEA) and carotid artery stenting (CAS)) are not well understood, especially segregation of care associated with...

Socioeconomic, Patient, and Hospital Determinants for the Utilization of Peripheral Nerve Blocks in Total Joint Arthroplasty.

While peripheral nerve blocks (PNBs) are associated with various improved outcomes in patients undergoing total hip or knee arthroplasty (THA/TKA), disparities in PNB utilization have been reported. This study assessed the importance of socioeconomic, demographic, clinical, and hospital determinants in explaining PNB utilization using the population-attributable risk (PAR) framework. Subsequently, we examined the association between PNB use and 3 secondary outcomes: Centers for Medicare and Medicaid Services (CMS)-defined complications, 90-day all-cause readmissions, and length of stay >3 days. This retrospective cohort study included 52,926 THA and 94,795 TKA cases from the 5% 2012 to 2021 Medicare dataset. Mixed-effects logistic regression models measured the association between study variables and PNB utilization. Variables of interest were demographic (age, sex), clinical (outpatient setting, diagnosis, prior hospitalizations in the year before surgery, Deyo-Charlson index, obesity, (non)-opioid abuse, smoking), socioeconomic (neighborhood Social Deprivation Index, race and ethnicity) and hospital variables (beds, ownership, region, rurality, resident-to-bed ratio). The model was used for the calculation of variable-specific and variable category-specific PARs (presented in percentages), reflecting the proportion of variation in PNB use explained after eliminating variables (or groups of variables) of interest with all other factors held constant. Subsequently, regression models measured the association between PNB use and secondary outcomes. Associations are presented with odds ratios (ORs) and 95% confidence intervals (95% CIs). Socioeconomic and demographic variables accounted for only a small proportion of variation in PNB use (up to 3% and 7%, respectively). Clinical (THA: 46%; TKA: 34%) and hospital variables (THA: 31%; TKA: 22%) were the primary drivers of variation. In THA, variation by clinical variables was driven by increased PNB use in the inpatient setting (OR, 1.28 [95% CI, 1.07-1.53]) and decreased use in patients with ≥2 prior hospitalizations (OR, 0.72 [95% CI, 0.57-0.90]). Moreover, nonosteoarthritis diagnoses associated with reduced PNB utilization in THA (OR, 0.64 [95% CI, 0.58-0.72]) and TKA (OR, 0.35 [95% CI, 0.34-0.37]).In TKA, PNB use was subsequently associated with fewer complications (OR, 0.82 [95% CI, 0.75-0.90]) and less prolonged length of stay (OR, 0.90 [95% CI, 0.86-0.95]); no association was found for readmissions (OR, 0.98 [95% CI, 0.93-1.03]). In THA, associations did not reach statistical significance. Among THA and TKA patients on Medicare, large variations exist in the utilization of PNBs by clinical and hospital variables, while demographic and socioeconomic variables played a limited role. Given the consistent benefits of PNBs, particularly in TKA patients, more standardized provision may be warranted to mitigate the observed variation.

Does Patient Perception of Cleanliness Still Matter? The Relationship between HCAHPS and HAC During the COVID-19 Pandemic

Background: Environmental contamination of surfaces is known to be one of the most common causes of healthcare associated infections (HAIs), with cleaning and disinfection of surfaces shown to reduce the incidence of HAIs and contribute to overall hospital cleanliness. Prior research showed that there was a relationship between a hospital’s performance on the Hospital Consumer Assessment of Healthcare Providers and Systems survey question on patient perception of cleanliness and their HAC score. However, this research was done prior to the COVID-19 pandemic. This study looked to examine if the pandemic changed the relationship between patient perception of cleanliness and HAC score performance. Method: A retrospective correlational study was performed to examine if the relationship between patient perception of cleanliness and the incidence of Clostridioides difficile (CDI) and Methicillin-Resistant Staphylococcus aureus (MRSA) HAIs, as defined by the facility’s HAC score, were affected by the COVID-19 pandemic. Multiple Center for Medicare and Medicaid Services (CMS) datasets were utilized for the study. There were approximately 2700 acute care facilities that reported data on the HCAHPS perception of cleanliness question and either a MRSA or CDI HAC score for the period of January 1, 2021, to December 31st, 2021. Basic descriptive statistics and Spearman’s rho correlation analyses were performed to examine the potential associations between the two scores. Result: For MRSA, the study found that as the percentage of patients who reported that their room was “always” clean increased, the hospital’s HAC score decreased (r= −0.141, p = &lt; 0.001). Additionally, as the percentage of patients who reported their room was “never” clean increased, the hospital’s HAC score increased (r= 0.175, p = &lt;0.001) For C. difficile, the analysis also revealed that as the percentage of patients who reported their room was “always” clean increased, there was not a significant change in the hospital’s HAC score (r= −0.023, p = 0.237). There was also not a significant change in the HAC score when the percentage of patients who reported their room as “never” clean increased (r= −0.012, p = 0.527).Conclusion: The study found that for MRSA, a hospital’s performance on the HCAHPS performance on patient perception of cleanliness is related to their performance on their HAC score. This did not hold true when looking at C. difficile infections, which is in contrast to the prior evidence. Further research is needed to determine if there are specific factors that may have influenced this change.Disclosure: Caitlin Crews-Stowe: Employee- ActivePure Medical

Incidence of Postsurgical Intraocular Inflammation 6 Months After Implantation with a Multifocal Intraocular Lens.

This study assessed the incidence of postsurgical intraocular inflammation after cataract extraction by phacoemulsification and implantation with AcrySof IQ ReSTOR intraocular lenses (IOLs) produced using an updated manufacturing process. Incidence rates were compared with historical rates of postsurgical intraocular inflammation. This was a prospective, multicenter, post-approval study at 34 sites. Patients aged ≥22 years received a study lens in at least 1 eye. Postsurgical intraocular inflammation (aqueous cell grade ≥3+ within 14 days after surgery, aqueous cell ≥2+ at 14 to ≤60 days after surgery, or aqueous cell ≥1+ at >60 days) was assessed within a 180-day period after implantation. Rates of toxic anterior segment syndrome (TASS), acute postoperative endophthalmitis, chronic postoperative endophthalmitis, and uncategorized cases of postsurgical intraocular inflammation were assessed. Ocular adverse events (AEs) and ocular adverse device effects (ADEs) were evaluated. Historical rates of postsurgical intraocular inflammation were determined from the 2011-2013 Medicare Limited Data Set files (a 5% sample of the Medicare data set representative of patients aged ≥65 years). Final safety analysis set included 3357 eyes (1792 patients; mean age, 68.6 ± 7.9 years). Postsurgical intraocular inflammation (any type) rate was 5.1 per 1000 attempted IOL implants (95% CI, 2.95, 8.10). TASS, acute postoperative endophthalmitis, and uncategorized inflammation rates were 0.6 (95% CI, 0.07, 2.15), 0.3 (95% CI, 0.01, 1.66), and 4.2 (95% CI, 2.28, 6.99) per 1000 attempted IOL implants, respectively. There were no events of chronic postoperative endophthalmitis. Ocular AEs and ADEs were reported in 17% and 1.5% of eyes, respectively. Most common ADEs were halo (0.63%) and glare (0.51%). The historical postsurgical inflammation rate from 221,519 cataract procedures was 10.3/1000 cataract surgeries, and the endophthalmitis rate was 1.2/1000 surgeries. The updated IOL manufacturing process resulted in postoperative intraocular inflammation rates that were substantially lower than the historic rate.

Trends in Veteran hospitalizations and associated readmissions and emergency department visits during the MISSION Act era.

To examine changes in hospitalization trends and healthcare utilization among Veterans following Maintaining Internal Systems and Strengthening Integrated Outside Networks (MISSION) Act implementation. VA Corporate Data Warehouse and Centers for Medicare and Medicaid Services datasets. Retrospective cohort study to compare 7- and 30-day rates for unplanned readmission and emergency department visits following index hospital stays based on payor type (VHA facility stay, VA-funded stay in community facility [CC], or Medicare-funded community stay [CMS]). Segmented regression models were used to compare payors and estimate changes in outcome levels and slopes following MISSION Act implementation. Veterans with active VA primary care utilization and ≥1 acute hospitalization between January 1, 2016 and December 31, 2021. Monthly index stays increased for all payors until MISSION Act implementation, when VHA and CMS admissions declined while CC admissions accelerated and overtook VHA admissions. In December 2021, CC admissions accounted for 54% of index admissions, up from 25% in January 2016. From adjusted models, just prior to implementation (May 2019), Veterans with CC admissions had 47% greater risk of 7-day readmission (risk ratio [RR]: 1.47, 95% confidence interval [CI]: 1.43, 1.51) and 20% greater risk of 30-day readmission (RR: 1.20, 95% CI: 1.19, 1.22) compared with those with VHA admissions; both effects persisted post-implementation. Pre-implementation CC admissions were also associated with higher 7- and 30-day ED visits, but both risks were substantially lower by study termination (RR: 0.90, 95% CI: 0.88, 0.91) and (RR: 0.89, 95% CI: 0.87, 0.90), respectively. MISSION Act implementation was associated with substantial shifts in treatment site and federal payor for Veteran hospitalizations. Post-implementation readmission risk was estimated to be higher for those with CC and CMS index admissions, while post-implementation risk of ED utilization following CC admissions was estimated to be lower compared with VHA index admissions. Reasons for this divergence require further investigation.

Health care provider movement increased through COVID-19.

COVID-19 placed unprecedented strain on the health workforce, raising concerns of increasing worker turnover and attrition. This study explores the use of 2 publicly available Medicare datasets-Provider Enrollment, Chain, and Ownership System (PECOS) and Doctors and Clinicians-to track provider movement across states and organizations from 2017 to 2023. We found an increase in state-to-state movement of providers post-COVID-19, with an initial spike in physician movement in the first year (April 2020 to March 2021). Movement varied across specialties and professions. Between organizations, we saw an initial increase in movement for family physicians but not internal medicine physicians. Overall, provider movement was generally to larger organizations. Our study finds increasing movement of providers in the post-COVID-19 period through the novel use of 2 publicly available Medicare datasets. Tracking health care workforce movement closer to real time is important to understand a changing workforce-with differences across communities-and to guide policies to ensure sufficient workforce and prevent worsening disparities over time.

Recognizing the Sex Disparity in Surgeons Performing Total Knee Arthroplasty

BackgroundThere is an unambiguous sex disparity in the field of orthopaedic surgery, with women making up only 7.4% of practicing orthopaedic surgeons in 2022. This study seeks to evaluate the sex distribution among orthopaedic surgeons engaged in primary total knee arthroplasty (TKA) between 2013 and 2020, as well as the procedural volume attributed to each provider. MethodsWe retrospectively queried the Medicare dataset to quantify all physicians reporting orthopaedic surgery as their specialty and performing primary TKA from 2013 to 2020. Healthcare Common Procedure Coding System codes for primary TKA procedures were used to extract associated utilization and billing provider information. Trend analyses were performed with 2-sided correlated Mann-Kendall tests to evaluate trends in the number of surgeons by sex and the women-to-men surgeon ratio. ResultsDuring the study period, 6,198 to 7,189 surgeons billed for primary TKA. Of this number, an average of 2% were women. The mean number of procedures billed for by men was 39.02/y (standard deviation: 34.54), and by women was 28.76/y (standard deviation: 20.62) (P < .001). There was no significant trend in the number of men or women surgeons who billed for primary TKA during the study period. Trend analysis of the women-to-men ratio demonstrated an increasing trend of statistical significance (P = .0187). ConclusionsThere was a significant upward trend in the women-to-men ratio of surgeons who billed for primary TKA. However, there remains a colossal gender gap, as women only made up 2.4% of surgeons who billed for the procedure. The current study raises awareness of the notable discrepancy in the average number of TKAs performed by women as compared to men. The orthopaedic community should aim to determine ways to increase the number of women arthroplasty surgeons along with the opportunities that women have to perform TKAs.

Factors associated with 90-day reintervention following lower extremity revascularization

ObjectivePeripheral artery disease (PAD) represents a high-volume, high-cost burden on the health care system. The Centers for Medicare and Medicaid Services has developed the Bundled Payments for Care Improvement-Advanced program, in which a single payment is provided for all services administered in a postsurgical 90-day episode of care. Factors associated with 30- and 90-day reinterventions after PAD interventions would represent useful data for both payors and stake holders. MethodsWe conducted a national cohort study of adults 65 years and older in the Vascular Quality Initiative and Centers for Medicare and Medicaid Services-linked dataset who underwent an open, endovascular, or hybrid revascularization procedure for PAD between January 1, 2010, and December 31, 2018. Procedures for acute limb ischemia and aneurysms were excluded. The primary outcome was 90-day reintervention. Reintervention at 30 days was a secondary outcome. Covariates of interest included demographics, comorbidities, and patient- and facility-level characteristics. Multivariable Cox regression was used to determine the association between patient- and facility-level characteristics and the risk of 30- and 90-day reinterventions. ResultsAmong 42,429 patients (71.3% endovascular, 23.3% open, and 5.4% hybrid), median age was 74 years (interquartile range, 69-80 years), 57.9% were male, and 84.3% were White. Chronic limb-threatening ischemia was the operative indication in 40.4% of the procedures. Overall, 42.8% were completed in the outpatient setting (40.3% outpatient, 2.5% office-based lab). Over 70% of procedures for chronic limb-threatening ischemia were completed as inpatient, whereas 60% of the claudication interventions were done as outpatient. The 90-day reintervention rate was 14.5%, and the 30-day reintervention rate was 5.5%. Compared with inpatient procedures, PAD interventions completed in the outpatient or office-based lab setting had significantly higher 90- and 30-day reintervention rates (reference, inpatient; outpatient 90-day reintervention: hazard ratio [HR], 1.41; 95% confidence interval [CI] 1.25-1.60; outpatient 30-day reintervention: HR, 1.90; 95% CI, 1.62-2.24; office-based lab 90-day reintervention: HR, 2.09; 95% CI, 1.82-2.41; office-based lab 30-day reintervention: HR, 3.54; 95% CI, 3.17-3.94). Open and hybrid approaches demonstrated lower risk of reintervention compared with endovascular procedures at 30 and 90 days and, compared with aortoiliac disease, all other anatomic segments of disease were associated with higher 90-day reintervention, but no difference was noted at 30 days. ConclusionsAlthough outpatient PAD interventions may be convenient for patients and providers, the outpatient setting is associated with a significant risk of subsequent reintervention. Additional work is needed to understand how to improve the longevity of outpatient PAD interventions.