Medicare Services Research Articles

Elective THA for Indications Other Than Osteoarthritis Is Associated With Increased Cost and Resource Use: A Medicare Database Study of 135,194 Claims.

Under Medicare's fee-for-service and bundled payment models, the basic unit of hospital payment for inpatient hospitalizations is determined by the Medicare Severity Diagnosis Related Group (MS-DRG) coding system. Primary total joint arthroplasties (hip and knee) are coded under MS-DRG code 469 for hospitalizations with a major complication or comorbidity and MS-DRG code 470 for those without a major complication or comorbidity. However, these codes do not account for the indication for surgery, which may influence the cost of care.Questions/purposes We sought to (1) quantify the differences in hospital costs associated with six of the most common diagnostic indications for THA (osteoarthritis, rheumatoid arthritis, avascular necrosis, hip dysplasia, posttraumatic arthritis, and conversion arthroplasty), (2) assess the primary drivers of cost variation using comparisons of hospital charge data for the diagnostic indications of interest, and (3) analyze the median length of stay, discharge destination, and intensive care unit use associated with these indications. This study used the 2019 Medicare Provider Analysis and Review Limited Data Set. Patients undergoing primary elective THA were identified using MS-DRG codes and International Classification of Diseases, Tenth Revision, Procedure Coding System codes. Exclusion criteria included non-fee-for-service hospitalizations, nonelective procedures, patients with missing data, and THAs performed for indications other than the six indications of interest. A total of 713,535 primary THAs and TKAs were identified in the dataset. After exclusions were applied, a total of 135,194 elective THAs were available for analysis. Hospital costs were estimated using cost-to-charge ratios calculated by the Centers for Medicare and Medicaid Services. The primary benefit of using cost-to-charge ratios was that it allowed us to analyze a large national dataset and to mitigate the random cost variation resulting from unique hospitals' practices and patient populations. As an investigation into matters of health policy, we believe that assessing the surgical cost borne by the "average" hospital was most appropriate. To analyze estimated hospital costs, we performed a multivariable generalized linear model controlling for patient demographics (gender, age, and race), preoperative health status, and hospital characteristics (hospital setting [urban versus rural], geography, size, resident-to-bed ratio, and wage index). We assessed the principal drivers of cost variation by analyzing the median hospital charges arising from 30 different hospital revenue centers using descriptive statistics. Length of stay, intensive care use, and discharge to a nonhome location were analyzed using multivariable binomial logistic regression. The cost of THA for avascular necrosis was 1.050 times (95% confidence interval 1.042 to 1.069; p < 0.001), or 5% greater than, the cost of THA for osteoarthritis; the cost of hip dysplasia was 1.132 times (95% CI 1.113 to 1.152; p < 0.001), or 13% greater; the cost of posttraumatic arthritis was 1.220 times (95% CI 1.193 to 1.246; p < 0.001), or 22% greater; and the cost of conversion arthroplasty was 1.403 times (95% CI 1.386 to 1.419; p < 0.001), or 40% greater. Importantly, none of these CIs overlap, indicating a discernable hierarchy of cost associated with these diagnostic indications for surgery. Rheumatoid arthritis was not associated with an increase in cost. Medical or surgical supplies and operating room charges represented the greatest increase in charges for each of the surgical indications examined, suggesting that increased use of medical and surgical supplies and operating room resources were the primary drivers of increased cost. All of the orthopaedic conditions we investigated demonstrated increased odds that a patient would experience a prolonged length of stay and be discharged to a nonhome location compared with patients undergoing THA for osteoarthritis. Avascular necrosis, posttraumatic arthritis, and conversion arthroplasty were also associated with increased intensive care unit use. Posttraumatic arthritis and conversion arthroplasty demonstrated the largest increase in resource use among all the orthopaedic conditions analyzed. Compared with THA for osteoarthritis, THA for avascular necrosis, hip dysplasia, posttraumatic arthritis, and conversion arthroplasty is independently associated with stepwise increases in resource use. These cost increases are predominantly driven by greater requirements for medical and surgical supplies and operating room resources. Posttraumatic arthritis and conversion arthroplasty demonstrated substantially increased costs, which can result in financial losses in the setting of fixed prospective payments. These findings underscore the inability of MS-DRG coding to adequately reflect the wide range of surgical complexity and resource use of primary THAs. Hospitals performing a high volume of THAs for indications other than osteoarthritis should budget for an anticipated increase in costs, and orthopaedic surgeons should advocate for improved MS-DRG coding to appropriately reimburse hospitals for the financial and clinical risk of these surgeries. Level IV, economic and decision analysis.

Growth of Remote Therapeutic Monitoring Lands New Opportunities for Case Management.

An increase in the use of remote therapeutic monitoring (RTM) has been spurred by nationwide factors including the COVID-19 pandemic, authorized reimbursement of RTM by the Centers for Medicare & Medicaid Services, and more frequent use of big data analytics in health care delivery. This article discusses the use of RTM by care teams at the point of care and explores the role of the case manager in RTM to address patients' unmet needs. Although RTM may be utilized across inpatient and outpatient levels of care, this article focuses on outpatient care such as community clinics, provider groups, and home health care. When implemented along with care management interventions, RTM applications have the potential to improve patient adherence, enhance communication between patients and their providers, streamline resource allocation, and address social determinants of health impacting patient care and outcomes. RTM reimbursement models are rapidly evolving, utilizing real-world and patient-reported data to identify and initiate timely, individualized solutions that meet the holistic needs of each patient. Use of an RTM system allows the case manager to build rapport with the patient while quickly identifying care gaps and delivering appropriate interventions that can maximize patient outcomes. RTM can drive savings and bring revenue to the system or practice while providing salient documentation of social determinants of health that can be addressed with validation of proven care coordination interventions.

Effective Care Transitions: Reducing Readmissions to Improve Patient Care and Outcomes.

Care transitions from one setting to another are vulnerable spaces where patients are susceptible to complications. Health systems, accountable care organizations, and payers recognize that care transition interventions are necessary to reduce unnecessary cost and utilization and improve patient outcomes following a hospitalization. Multiple care transition models exist, with varying degrees of intensity and success. This article describes a quality improvement project for a care transition model that incorporates key elements from the American Case Management Association's Transitions of Care Standards and the Transitional Care Management services as outlined by the Centers for Medicare & Medicaid Services. A collaboratively developed care transition model was implemented between a health system population health management office and a primary care organization. An effective care transitions model is stronger with collaboration among core members of a patient's care team, including a nurse care manager and a primary care provider. Ongoing quality improvement is necessary to gain efficiencies and effectiveness of such a model. Care managers are integral in coordinating effective transitions. Care management practice includes transition of care standards that are associated with improved outcomes for patients at high risk for readmission. Interventions inclusive of medication reconciliation, identification and addressing of health-related social needs, review of discharge instructions, and coordinated follow-up are important factors that impact patient outcomes. Patients and their health system care teams benefit from the role of a care manager when there is a collaborative, coordinated, and timely approach to hospital follow-up.

Estimating the United States Patient Population Size Meeting Audiologic Candidacy for Cochlear Implantation.

This study aimed to estimate the size of the United States candidacy pool meeting expanded Center for Medicare Services criteria for cochlear implantation. Retrospective cross-sectional. Tertiary care center. Preimplantation audiometric data from 486 patients seen at a single academic medical center were collected retrospectively and used to generate a predictive model of AzBio score based on audiometric pure tone thresholds. This model was then used to estimate nationally representative cochlear implantation (CI)-candidacy using pure tone averages included in the National Health and Nutrition Examination Survey. Qualitative and quantitative analyses were performed. We find that the estimated prevalence of CI candidacy in individuals 65 years of age or older is expected to more than double with a change in the CI candidacy criteria from ≤40% to ≤60% (from 1.42%, 95% confidence interval [1.33, 1.63] to 3.73% [2.71, 6.56]) on speech testing. We also found the greatest absolute increase in candidacy in the 80+ age group, increasing from 4.14% [3.72, 5.1] of the population meeting the ≤40% criteria to 12.12% [9.19, 18.35] meeting the ≤60% criteria. The United States population size meeting expanded CMS audiologic criteria for cochlear implantation is estimated to be 2.5 million adults and 2.1 million age 65 or older. Changing the CI candidacy criteria from ≤40% to ≤60% on CI testing has the greatest effect on the eligible patient population in the >65-year-old age group. The determination of utilization rates in newly eligible patients will require further study.

Including socioeconomic status reduces readmission penalties to safety-net hospitals

ObjectiveMedicare’s Hospital Readmissions Reduction Program (HRRP) financially penalizes “excessive” postoperative readmissions. Concerned with creating a double standard for institutions treating a high percentage of economically vulnerable patients, Medicare elected to exclude socioeconomic status (SES) from its risk-adjustment model. However, recent evidence suggests that safety-net hospitals (SNHs) caring for many low-SES patients are disproportionately penalized under the HRRP. We sought to simulate the impact of including SES-sensitive models on HRRP penalties for hospitals performing lower extremity revascularization (LER). MethodsThis is a retrospective, cross-sectional analysis of national data on Medicare patients undergoing open or endovascular LER procedures between 2007 and 2009. We used hierarchical logistic regression to generate hospital risk-standardized 30-day readmission rates under Medicare’s current model (adjusting for age, sex, comorbidities, and procedure type) compared with models that also adjust for SES. We estimated the likelihood of a penalty and penalty size for SNHs compared with non-SNHs under the current Medicare model and these SES-sensitive models. ResultsOur study population comprised 1708 hospitals performing 284,724 LER operations with an overall unadjusted readmission rate of 14.4% (standard deviation: 5.3%). Compared with the Centers for Medicare and Medicaid Services model, adjusting for SES would not change the proportion of SNHs penalized for excess readmissions (55.1% vs 53.4%, P = .101) but would reduce penalty amounts for 38% of SNHs compared with only 17% of non-SNHs, P < .001. ConclusionsFor LER, changing national Medicare policy to including SES in readmission risk-adjustment models would reduce penalty amounts to SNHs, especially for those that are also teaching institutions. Making further strides toward reducing the national disparity between SNHs and non-SHNs on readmissions, performance measures require strategies beyond simply altering the risk-adjustment model to include SES.

Primary care outreach and decision counseling for lung cancer screening.

Lung cancer screening rates are very low despite a level B recommendation from the United States Preventive Services Task Force since 2013 and clear evidence that lung cancer screening reduces mortality. The Center for Medicare and Medicaid Services requires shared decision-making (SDM) for lung cancer screening reimbursement. The objective of this study was to determine the effect of an SDM intervention on lung cancer screening in primary care. The study design was a single-arm clinical trial design. The intervention included phone contact outside of a primary care visit and the use of the Decision Counseling Program ®, an online interactive decision aid focused on determining the factors which influence patients to screen or not screen, prioritizing those factors, and determining a decision preference score. The primary outcome was the completion of low-dose computed tomography scan (LDCT) 1 year after the SDM session compared in participants versus nonparticipants. From six practices, there were 1359 potentially eligible patients in electronic medical record data, and 336 were reached to assess eligibility criteria. A total of 80 patients consented to be in the study, 64 completed a decision counseling session and 16 did not complete a session. Among the 64 people who agreed to have decision counseling, 45% had LDCT, higher than typically seen in routine clinical practice. Although not a comparable group, among the 16 people who declined decision counseling, none had LDCT. Decision counseling is a promising intervention that might support SDM in the context of improving uptake of lung cancer screening in primary care. However, further, larger studies are needed.

The Major Hypotheses of Alzheimer's Disease: Related Nanotechnology-Based Approaches for Its Diagnosis and Treatment.

Alzheimer's disease (AD) is a well-known chronic neurodegenerative disorder that leads to the progressive death of brain cells, resulting in memory loss and the loss of other critical body functions. In March 2019, one of the major pharmaceutical companies and its partners announced that currently, there is no drug to cure AD, and all clinical trials of the new ones have been cancelled, leaving many people without hope. However, despite the clear message and startling reality, the research continued. Finally, in the last two years, the Food and Drug Administration (FDA) approved the first-ever medications to treat Alzheimer's, aducanumab and lecanemab. Despite researchers' support of this decision, there are serious concerns about their effectiveness and safety. The validation of aducanumab by the Centers for Medicare and Medicaid Services is still pending, and lecanemab was authorized without considering data from the phase III trials. Furthermore, numerous reports suggest that patients have died when undergoing extended treatment. While there is evidence that aducanumab and lecanemab may provide some relief to those suffering from AD, their impact remains a topic of ongoing research and debate within the medical community. The fact is that even though there are considerable efforts regarding pharmacological treatment, no definitive cure for AD has been found yet. Nevertheless, it is strongly believed that modern nanotechnology holds promising solutions and effective clinical strategies for the development of diagnostic tools and treatments for AD. This review summarizes the major hallmarks of AD, its etiological mechanisms, and challenges. It explores existing diagnostic and therapeutic methods and the potential of nanotechnology-based approaches for recognizing and monitoring patients at risk of irreversible neuronal degeneration. Overall, it provides a broad overview for those interested in the evolving areas of clinical neuroscience, AD, and related nanotechnology. With further research and development, nanotechnology-based approaches may offer new solutions and hope for millions of people affected by this devastating disease.

Compliance and Documentation for Evaluation and Management Services in Interventional Pain Management Practice

Evaluation of new and established patients is an integral part of interventional pain management. Over the last 3 decades, there has been significant confusion over the proper documentation for evaluation and management (E/M) services in general and for interventional pain management in particular. Interventional pain physicians have learned how to evaluate patients presenting with pain on the basis of their specialty training. Although modern training programs are introducing residents and fellows to the intricacies of E/M services and federal regulations, this has not always been the case. Multiple textbooks about pain management, physiatry, and neurology, and numerous journal articles have described the evaluation of pain patients, but they have not been specific to chronic pain patients and may not meet the regulatory perspective. A multitude of these issues led to the development of guidelines in 1995 and 1997, which were highly complicated and difficult to follow. These also led to significant criticism from clinicians. Consequently, further guidance was developed to be effective January 2021. The crucial concept in the present system of coding for E/M services is medical decision making, which includes 3 elements since 2021: 1. The number and complexity of problems addressed 2. Amount or complexity of data to be reviewed and analyzed 3. Risk of complications and/or morbidity or mortality of patient management In order to select a level of E/M service, 2 of the 3 elements of medical decision making (MDM) must be met or exceeded. This is in contrast to prior guidelines wherein for new patients, all 3 elements with history, physical examination and MDM , and for established patients have been met. For ease of appreciation, an algorithmic approach created by the American Medical Association (AMA), and Centers for Medicare and Medicaid Services (CMS) approved a new MDM table outlining all of the appropriate criteria. This review systematically describes the changes and provides an algorithmic approach for application in interventional pain management practices. KEY WORDS: Evaluation and management services, new patient, established patient, level of service, CPT coding, medical decision making, complexity of problems

The Impact of Non-Adherence to Antihypertensive Drug Therapy.

Medication non-adherence is a major healthcare barrier, especially among diseases that are largely asymptomatic, such as hypertension. The impact of poor medication adherence ranges from patient-specific adverse health outcomes to broader strains on health care system resources. The Centers for Disease Control (CDC) Wide-ranging Online Data for Epidemiologic Research (WONDER) database was used to retrieve Centers for Medicare and Medicaid Services' data pertaining to blood pressure (BP) medication adherence, socio-economic variables, and cardiovascular (CV) outcomes across the United States. Multivariable linear regression models were used to estimate the change in total CV deaths as a function of non-adherence to BP medications. For every percent increase in the non-adherence rate, the total number of CV deaths increased by 7.13 deaths per 100,000 adults (95% CI: 6.34-7.92), even after controlling for the percentage of residents with access to insurance, the percentage of residents who were eligible for Medicaid, the percentage of residents without a college education, median home value, income inequality, and the poverty rate (p < 0.001). There is a significant association between non-adherence to BP medications and total CV deaths. Even a one percent increase in the adherence rate in the United States could result in tens of thousands of preventable CV deaths. Based on recently published CDC data, this could also have a tremendous impact on health care costs. This provides compelling evidence for increased efforts to improve adherence.

COVID-19 Modifications in Public Home- and Community-Based Services for Children with Mental Health Needs.

Eleven states offer 1915(c) Home and Community Based Services (HCBS) Medicaid waivers to organize and fund programs that provide in-home and community support services to address the unique needs of children and youth with complex mental health concerns and their families. However, as the COVID-19 pandemic-imposed restrictions on community movement and school engagement were enacted, these children and youth lost in-person access to needed supports through school-based programs and professional community providers. The well documented mental health impacts of the pandemic on children and youth necessitates understanding how behavioral health programs and policies were adapted to the constraints of pandemic life for this uniquely at-risk population. This study examines and characterizes trends in modifications made to these programs. Appendix K applications amending HCBS waiver programs targeting children with serious emotional disturbances (SED) were collected from the Center for Medicaid & Medicare Services (CMS) website. In total, 33 applications from 10 states were included in the study. Utilizing a policy mapping approach, applications were coded by hand comparing text from elements in the applications across all 10 states. A summary of programchanges reported in applications was created and changes were tracked over the course of the federal public health emergency. States modified programs by adding services for waiver participants, changing the service settings allowed, removing service limit restrictions, and offering electronic/remote service delivery. All states also issued measures to either expand or retain their provider workforce, adding family members as providers, modifying experience requirements, and offering financial incentives via increased payment rates or retainer payments. Modifications to mental health assessment processes ranged from changing the evaluation tools or documentation requirements, extending deadlines, and allowing for remote evaluations. Service plan development processes were adapted by allowing virtual service plan development meetings, allowing participants or representatives to electronically sign plans of care, and permitting verbal consent to begin receiving services. Documenting programmatic adjustments provides a context for further research to understand the experiences of youth, families, and providers in navigating these changes and the relative success or failures of these policies.

Examining alignment of community health teams' preferences for health, equity, and spending with state all-payer waiver priorities: A discrete choice experiment.

The state of Vermont has a statewide waiver from the centers for medicare and medicaid services to allow all-payer Accountable Care Organizations (ACOs). The Vermont all-payer model (VAPM) waiver is layered upon previous reforms establishing regional community health teams (CHTs) and medical homes. The waiver is intended to incentivize healthcare value and quality and create alignment between health system payers, providers, and CHTs. The objective of this study was to examine CHT's trade-offs and preferences for health, equity, and spending and the alignment with VAPM priorities. Data were gathered from a survey and discrete choice experiment among CHT leadership and CHT team members of the 13 CHTs in Vermont. We used conditional logit models to model the choice as a function of its characteristics (attributes) and mixed logit models to analyze whether preferences for programs varied by persons and roles within CHTs. There were 60 respondents who completed the survey online with 14 choice tasks, with three program options in each task, for a total sample size of 2520. We found that CHTs prioritized programs in the community health plan and those with quantitative evidence of effectiveness. They were less likely to choose either programs targeting racial and ethnic minorities or programs having a small effect on a large population. Preferences did not vary across individual or community attributes. Program priorities of the VAPM, especially healthcare spending, were not prioritized. The results suggest that the new VAPM does not automatically create system alignment: CHTs tended to prioritize local needs and voices. The statewide priorities are less important to CHTs, which have excellent internal alignment. This creates potential disconnection between state and community health goals. However, CHTs and the VAPM prioritize similar populations, indicating an opportunity to increase alignment by allowing flexible programs tailored to local needs. CHTs also prioritized programs with a strong evidence base, suggesting another potential avenue to create system alignment.

Reimbursement of Lumbar Fusion at an Orthopaedic Specialty Hospital Versus Tertiary Referral Center.

Retrospective Cohort Study. To explore the differences in Medicare reimbursement for lumbar fusion performed at an orthopaedic specialty hospital (OSH) and a tertiary referral center and to elucidate drivers of Medicare reimbursement differences. To provide more cost-efficient care, appropriately selected patients are increasingly being transitioned to OSHs for lumbar fusion procedures. There are no studies directly comparing reimbursement of lumbar fusion between tertiary referral centers (TRC) and OSHs. Reimbursement data for a tertiary referral center and an orthopaedic specialty hospital were compiled through the Centers for Medicare and Medicaid Services. Any patient with lumbar fusions between January 2014 and December 2018 were identified. OSH patients were matched to TRC patients by demographic and surgical variables. Outcomes analyzed were reimbursement data, procedure data, 90-day complications and readmissions, operating room times, and length of stay (LOS). A total of 114 patients were included in the final cohort. The tertiary referral center had higher post-trigger ($13,554 vs. $8,541, P <0.001) and total episode ($49,973 vs. $43,512, P <0.010) reimbursements. Lumbar fusion performed at an OSH was predictive of shorter OR time (β=0.77, P <0.001), shorter procedure time (β=0.71, P <0.001), and shorter LOS (β=0.53, P <0.001). There were no significant differences in complications (9.21% vs. 15.8%, P =0.353) or readmission rates (3.95% vs. 7.89%, P =0.374) between the 2 hospitals; however, our study is underpowered for complications and readmissions. Lumbar fusion performed at an OSH, compared with a tertiary referral center, is associated with significant Medicare cost savings, shorter perioperative times, decreased LOS, and decreased utilization of post-acute resources. 3.

Measuring restrictiveness of Medicare Advantage networks: A claims-based approach.

To develop and validate a measure of provider network restrictiveness in the Medicare Advantage (MA) population. Prescription drug event data and beneficiary information for Part D enrollees from the Center for Medicare and Medicaid Services, along with prescriber identifiers; geographic variables from the Area Health Resources Files. A prediction model was used to predict the unique number of primary care providers that would have been seen by MA beneficiaries absent network restrictions. The model was trained and validated on Traditional Medicare (TM) beneficiaries. A pseudo-Poisson and a random forest model were evaluated. An observed-to-expected (O/E) ratio was calculated as the number of unique providers seen by MA beneficiaries divided by the number expected based the TM prediction model. Multivariable linear models were used to assess the relationship between network restrictiveness and plan and market factors. Prescription drug event data were obtained for a 20% random sample of beneficiaries enrolled in prescription drug coverage from 2011 to 2017. Health Maintenance Organization plans were more restrictive (O/E = 55.5%; 95% CI 55.3%-55.7%) than Health Maintenance Organization-Point of Service plans (67.2%; 95% CI 66.7%-67.8%) or Preferred Provider Organization plans (74.7%; 95% CI 74.3%-75.1%), and rural areas had more restrictive networks (31.6%; 95% CI 29.0%-34.2%) than metropolitan areas (61.5%; 95% CI 61.3%-61.7%). Multivariable results confirmed these findings, and also indicated that increased provider supply was associated with less restrictive networks. We developed a means of estimating provider network restrictiveness in MA from claims data. Our results validate the approach, providing confidence for wider application (e.g., for other markets and specialties) and use for regulation.

Linking Medicare-Medicaid Claims for Patient-Centered Outcomes Research Among Dual-Eligible Beneficiaries.

Evaluation of Medicare-Medicaid integration models' effects on patient-centered outcomes and costs requires multiple data sources and validated processes for linkage and reconciliation. To describe the opportunities and limitations of linking state-specific Medicaid and Centers for Medicare & Medicaid Services administrative claims data to measure patient-centered outcomes for North Carolina dual-eligible beneficiaries. We developed systematic processes to (1) validate the beneficiary ID linkage using sex and date of birth in a beneficiary ID crosswalk, (2) verify dates of dual enrollment, and (3) reconcile Medicare-Medicaid claims data to support the development and use of patient-centered outcomes in linked data. North Carolina Medicaid beneficiaries with full Medicaid benefits and concurrent Medicare enrollment (FBDE) between 2014 and 2017. We identified need-based subgroups based on service use and eligibility program requirements. We calculated utilization and costs for Medicaid and Medicare, matched Medicaid claims to Medicare service categories where possible, and reported outcomes by the payer. Some services were covered only by Medicaid or Medicare, including Medicaid-only covered home and community-based services (HCBS). Of 498,030 potential dual enrollees, we verified the linkage and FBDE eligibility of 425,664 (85.5%) beneficiaries, including 281,174 adults enrolled in Medicaid and Medicare fee-for-service. The most common need-based subgroups were intensive behavioral health service users (26.2%) and HCBS users (10.8%) for adults under age 65, and HCBS users (20.6%) and nursing home residents (12.4%) for adults age 65 and over. Medicaid funded 42% and 49% of spending for adults under 65 and adults 65 and older, respectively. Adults under 65 had greater behavioral health service utilization but less skilled nursing facility, HCBS, and home health utilization compared with adults 65 and older. Linkage of Medicare-Medicaid data improves understanding of patient-centered outcomes among FBDE by combining Medicare-funded acute and ambulatory services with Medicaid-funded HCBS. Using linked Medicare-Medicaid data illustrates the diverse patient experience within FBDE beneficiaries, which is key to informing patient-centered outcomes, developing and evaluating integrated Medicare and Medicaid programs, and promoting health equity.

A polygenic risk score predicts atrial fibrillation in patients with coronary artery disease without severe systolic dysfunction

Abstract Background Genome-wide polygenic risk scores (GPS) comprised of multiple common variants can identify individuals within the general population at significantly higher risk for developing atrial fibrillation AF; however, the clinical utility in general populations is limited by the low absolute risk of AF. Purpose To determine whether a genome-wide polygenic score for AF (GPSAF) can be utilized to identify a patient population at high absolute risk for the development of AF among older patients with established coronary artery disease (CAD) and left ventricular ejection fraction (LVEF) &amp;gt; 30-35%. Methods Participants in the PREDETERMINE study without a prior history of AF who had claims data available in Centers for Medicare and Medicaid Services (CMS) database were followed for incident AF defined as International Classification of Diseases codes 427.3 and I48. A recently validated GPSAF comprised of 1.1 million variants was generated and participants were divided into quintiles based upon the distribution of the GPSAF in the general population. The population was separated into 3 categories of genetic risk, with the top quintile classified as high risk, the second through fourth quintiles classified as intermediate risk, and the bottom quintile classified as low risk. Cumulative incidence curves for incident AF were plotted stratified by the GPSAF categories and the association between GPSAF and incident AF were estimated using Cox proportional hazard models with and without adjusting for established AF risk factors and biomarkers (N-terminal pro-B-type natriuretic peptide, high-sensitivity Troponin I, high sensitivity c-reactive protein). Results Over a median follow-up of 8.0 years, there were 482 incident AF events among 2272 study participants. Overall, median age was 67 [62,73] years and 73.5% were men. Baseline AF risk factors and biomarkers did not differ across GPSAF risk categories. The unadjusted cumulative incidence of AF over the course of the study was 39.2% (29.2%-47.8%) in the high GPSAF risk group, 32.5% (25.8%-38.5%) in the intermediate GPSAF risk group, and 21.6% (13.4%-29.9%) in the low GPSAF risk group (Figure 1). Compared with the participants with low GPSAF risk, participants with high and intermediate GPSAF risk had respectively t 2.32-fold (95% CI, 1.71-3.14; p=0.001) and 1.64-fold (95% CI, 1.27-2.10; p=0.001) increased risk for incident AF, adjusted for age and sex. Both remained significantly elevated after controlling for clinical factors, and biomarkers (Table 1). Conclusion A polygenic risk score for AF is strongly associated with incident AF risk among patients with CAD without severe systolic dysfunction, and clinically meaningful elevations in absolute risk of developing AF were observed in those in the highest quintile of risk. Future research is needed to determine if genetic risk assessment and targeted screening strategies will result in reduce morbidity from AF in this high-risk population.

Institutional Structures and Processes to Support Sepsis Care: A Multihospital Study.

To identify opportunities for improving hospital-based sepsis care and to inform an ongoing statewide quality improvement initiative in Michigan. Surveys on hospital sepsis processes, including a self-assessment of practices using a 3-point Likert scale, were administered to 51 hospitals participating in the Michigan Hospital Medicine Safety Consortium, a Collaborative Quality Initiative sponsored by Blue Cross Blue Shield of Michigan, at two time points (2020, 2022). Forty-eight hospitals also submitted sepsis protocols for structured review. Multicenter quality improvement consortium. Fifty-one hospitals in Michigan. None. Of the included hospitals, 92.2% (n = 47/51) were nonprofit, 88.2% (n = 45/51) urban, 11.8% (n = 6/51) rural, and 80.4% (n = 41/51) teaching hospitals. One hundred percent (n = 51/51) responded to the survey, and 94.1% (n = 48/51) provided a sepsis policy/protocol. All surveyed hospitals used at least one quality improvement approach, including audit/feedback (98.0%, n = 50/51) and/or clinician education (68.6%, n = 35/51). Protocols included the Sepsis-1 (18.8%, n = 9/48) or Sepsis-2 (31.3%, n = 15/48) definitions; none (n = 0/48) used Sepsis-3. All hospitals (n = 51/51) used at least one process to facilitate rapid sepsis treatment, including order sets (96.1%, n = 49/51) and/or stocking of commonly used antibiotics in at least one clinical setting (92.2%, n = 47/51). Treatment protocols included guidance on antimicrobial therapy (68.8%, n = 33/48), fluid resuscitation (70.8%, n = 34/48), and vasopressor administration (62.5%, n = 30/48). On self-assessment, hospitals reported the lowest scores for peridischarge practices, including screening for cognitive impairment (2.0%, n = 1/51 responded "we are good at this") and providing anticipatory guidance (3.9%, n = 2/51). There were no meaningful associations of the Centers for Medicare and Medicaid Services' Severe Sepsis and Septic Shock: Management Bundle performance with differences in hospital characteristics or sepsis policy document characteristics. Most hospitals used audit/feedback, order sets, and clinician education to facilitate sepsis care. Hospitals did not consistently incorporate organ dysfunction criteria into sepsis definitions. Existing processes focused on early recognition and treatment rather than recovery-based practices.

Special Focus Facilities vs Special Focus Facility Candidates: What is the Difference?

ObjectivesThis study compares Special Focus Facilities (SFFs) and Special Focus Facility Candidate Facilities (SFFcs) on organizational traits and quality outcomes to evaluate the effectiveness of the SFF program as a quality improvement intervention and inform potential areas for program reform. DesignThis is a retrospective analysis. Settings and ParticipantsUsing data from the Centers for Medicare and Medicaid Services archives for 2020, this retrospective study analyzed 247 nursing facilities (50 SFFs and 197 SFFcs). MethodsVariables of interest were staffing, profit status, facility size, certification status, number of residents, and complaint citations: t tests, χ2, Fisher's Exact test, and multivariate analysis of variance were used to compare the 2 groups. ResultsFrom an organizational perspective, SFFs and SFFcs are minimally different. Both groups had similar facility size, profit status, hospital affiliation, continuing care retirement community status, and Medicare/Medicaid certification. Large and for-profit facilities were overrepresented in both groups. SFFs and SFFcs exhibited statistical differences in the number of complaint deficiencies. The groups had no significant difference in staffing levels, category, severity of complaints, or incident reports. Conclusions and ImplicationThe study's findings suggest that the SFF program, while resource-intensive, is minimally impactful. The similarities between SFFs and SFFcs raise questions about the program's effectiveness in improving nursing facility care. Previous adjustments to the program may not have successfully achieved the desired quality improvements. This research highlights the need to further evaluate the SFF program's effectiveness as a quality improvement intervention. It also underscores the importance of addressing biases and subjectivity in state survey agency processes, which affect the enrollment of nursing facilities. The study underscores the flaws within the nursing home monitoring system and the 5-star quality rating system, especially when comparing small samples between states.

Case Volume Justification of 3D-Navigated Spinal Procedures: A Cost-Benefit Analysis.

3D image-guidance platforms have transformed spinal surgery by enhancing visualization, increasing precision, and improving patient outcomes. However, with high procurement, operational, and maintenance costs relative to the standard of care, the benefits of acquiring these platforms must be thoroughly assessed. This study aims to develop a model that weighs the cost of a typical 3D navigation platform against its clinical benefits to determine the facility case volume required to justify its purchase. Using Medtronic's StealthStation and O-Arm as a market example, we calculated the break-even case volume by dividing the cost of the platform by the difference in gross margins between 3D navigation and the standard of care. Total gross margins earned from first-time and revision surgeries were calculated based on each payer's reimbursement rate and covered case volume, as well as each technology's revision rate. Values reported in literature and by Centers for Medicare and Medicaid Services databases were plugged into the model to calculate variables. At a 0% reimbursement rate from private payers for revision surgeries, an annual case volume of 158 spinal surgeries would be required to justify the per-year 3D navigation cost; at 100% private payer reimbursement, 352 surgeries would be required. Given these volumes, 61% of all US inpatient facilities cannot justify 3D navigation at 0% reimbursement, and 86% cannot justify it at 100% reimbursement. Accordingly, greater pricing flexibility, such as per-procedure models, is required for 3D navigation systems to standardize clinical outcomes across medical centers.

Abstract 13714: Mortality Among Individuals With Prevalent Heart Failure and Low Socioeconomic Position

Introduction: Individuals of low socioeconomic position are at greatest risk for incident heart failure (HF). Few data exist, however, regarding factors associated with mortality among individuals with prevalent HF and low socioeconomic position. Methods: The Southern Community Cohort Study (SCCS) is a prospective observational study of 84,797 individuals of predominantly low socioeconomic position enrolled between 2002 to 2009 from 12 states in the southeastern US. Using Cox regression models, we examined demographic, social determinants, and clinical factors associated with 5-year all-cause mortality in a subset of 4,309 black or white adults with prevalent HF receiving Centers for Medicare and Medicaid Services at enrollment. Death was ascertained through linkage with the National Death Index and cohort follow-up. Results: Individuals with prevalent HF at SCCS enrollment were predominantly middle age (mean ~59 years), female (64%), black (70%), low income (75% &lt;$15k/year), and low education (46% &lt; high school). Over 5-year follow up, a total of 975 (23%) individuals died. Older individuals and men were at greater risk of death. Comorbidities such as history of myocardial infarction/coronary bypass, diabetes, hypertension, and smoking significantly associated with greater risk of death, as did lower physical activity and greater sedentary time. In contrast, social determinants such as race, income, education, and rural vs. urban residence did not significantly associate with mortality. Overall, body mass index (BMI) accounted for the greatest proportion of variance in the risk of death with a non-linear, predominantly inverse association ( Figure ). Conclusions: Among individuals of low socioeconomic position with prevalent heart failure residing in the southeastern US, clinical factors, particularly BMI, account for risk of mortality more so than social determinants.

The Updated Global Malnutrition Composite Score Clinical Quality Measure: Its Relevance to Improving Inpatient Clinical Outcomes and Health Equity

Quality improvement has existed in health care for centuries with a dramatic transformation over time, largely motivated by the academic health quality movement. Throughout this evolution, the Centers for Medicare and Medicaid Services have been at the forefront of the development and provision of quality measures for health care in a variety of settings, including acute care. Quality initiatives aid in the evaluation of patient care to encourage quality improvement efforts, determine pay-for-performance rates, and help patients and consumers evaluate their care providers. The addition of the Global Malnutrition Composite Score as an electronic Clinical Quality Measure in 2022 highlights the key role nutrition plays in outcomes and quality of hospitalized patients. With this, credentialed nutrition and dietetics practitioners lie front and center for the development of quality improvement processes to help promote high quality standards of nutrition care, improve length of stay, and reduce health care costs and readmissions while addressing malnutrition, health equity, and nutrition care as a human right. As the Global Malnutrition Composite Score steward, it is the obligation of the Academy of Nutrition and Dietetics and the Commission on Dietetic Registration to promote the measure and support credentialed nutrition and dietetics practitioners in advocating for the implementation of this measure. Therefore, the purpose of this practice update is to provide necessary information to credentialed nutrition and dietetics practitioners and other health care leaders related to the history and implementation of the Global Malnutrition Composite Score, along with relevant updates to the measure and practice implications.