Referral Regions Research Articles

Defining Referral Regions for Inpatient Trauma Care: The Utility of a Novel Geographic Definition.

Geographic variation is an inherent feature of the US health system. Despite efforts to account for geographic variation in trauma system strengthening, it remains unclear how trauma "regions" should be defined. The objective of this study is to evaluate the utility of a novel definition of Trauma Referral Regions (TRR) for assessing geographic variation in inpatient trauma across the age span of hospitalized trauma patients. Using 2016-2017 State Inpatient Databases, we assessed the extent of geographic variability in three common metrics of hospital use (localization index, market share index, net patient flow) among TRRs and, as a comparison, trauma regions alternatively defined based on Hospital Referral Regions, Hospital Service Areas, and counties. A total of 860,593 admissions from 102 TRRs, 127 Hospital Referral Regions, 884 Hospital Service Areas, and 583 counties were included. Consistent with expectations for distinct trauma regions, TRR presented with high average localization indices (mean [standard deviation]: 83.4 [11.7%]), low market share indices (mean [standard deviation]: 11.9 [7.0%]), and net patient flows close to 1.00. Similar results were found among stratified pediatric, adult, and older adult patients. Associations between TRRs and variations in important demographic features (e.g., travel time by road to the nearest Level I or II Trauma Center) suggest that while indicative of standalone trauma regions, TRRs are also able to simultaneously capture critical variations in regional trauma care. TRRs offer a standalone set of geographic regions with minimal variation in common metrics of hospital use, minimal geographic clustering, and preserved associations with important demographic factors. They provide a needed, valid means of assessing geographic variation among trauma systems.

Keys to Driving Implementation of the New Kidney Care Models.

Contemporary nephrology practice is heavily weighted toward in-center hemodialysis, reflective of decisions on infrastructure and personnel in response to decades of policy. The Advancing American Kidney Health initiative seeks to transform care for patients and providers. Under the initiative's framework, the Center for Medicare and Medicaid Innovation has launched two new care models that align patient choice with provider incentives. The mandatory ESRD Treatment Choices model requires participation by all nephrology practices in designated Hospital Referral Regions, randomly selecting 30% of all Hospital Referral Regions across the United States for participation, with the remaining Hospital Referral Regions serving as controls. The voluntary Kidney Care Choices model offers alternative payment programs open to nephrology practices throughout the country. To help organize implementation of the models, we developed Driver Diagrams that serve as blueprints to identify structures, processes, and norms and generate intervention concepts. We focused on two goals that are directly applicable to nephrology practices and central to the incentive structure of the ESRD Treatment Choices and Kidney Care Choices: (1) increasing utilization of home dialysis, and (2) increasing the number of kidney transplants. Several recurring themes became apparent with implementation. Multiple stakeholders from assorted backgrounds are needed. Communication with primary care providers will facilitate timely referrals, education, and comanagement. Nephrology providers (nephrologists, nursing, dialysis organizations, others) must lead implementation. Patient engagement at nearly every step will help achieve the aims of the models. Advocacy with federal and state regulatory agencies will be crucial to expanding home dialysis and transplantation access. Although the models hold promise to improve choices and outcomes for many patients, we must be vigilant that they not do reinforce existing disparities in health care or widen known racial, socioeconomic, or geographic gaps. The Advancing American Kidney Health initiative has the potential to usher in a new era of value-based care for nephrology.

Disparities In Diabetes-Related Lower Extremity Amputations In The United States: A Systematic Review.

Disparities in rates of peripheral diabetic neuropathy and lower extremity amputation exist in the United States. To investigate the factors linked to this disparity, we performed a systematic review of the literature on the subject published during the period 2000-20. Nineteen observational studies were included. Disparities in rates of lower extremity amputation were reported according to patient race, ethnicity, sex, and age; across hospital referral regions, residential area characteristics, and income estimates; and on the basis of payer type and hospital characteristics. Several of these factors were interrelated. There was a reduction in major lower extremity amputation rates among Black, Hispanic, and White patients with diabetes over time, suggesting narrowing disparities in the odds of this procedure among Black and White patients. There is a need for a national strategy that integrates public awareness, screening, early initiated multidisciplinary care, and quality measures for peripheral artery disease management, as well as neighborhood-level public health interventions, to reduce the disproportionate burden of lower extremity amputation in underserved communities.

Listing at non-local transplant centers is associated with increased access to deceased donor kidney transplantation

The ability of kidney transplant candidates to travel outside of their usual place of care varies by sociodemographic factors, potentially exacerbating disparities in access. We used Transplant Referral Regions (TRRs) to overcome previous methodological barriers of using geographic distance to assess the characteristics and outcomes of patients listed for kidney transplant at centers in neighboring TRR or beyond neighboring TRRs. Among listed kidney transplant candidates, 20.9% traveled to a neighbor and 5.6% beyond a neighbor. A higher proportion of travelers were White, had some college education, and lived in ZIP codes with lower poverty. Travel to a neighbor was associated with a 7% increase in likelihood of deceased donor transplant (cHR: 1.07, 95% CI: 1.05, 1.09) and traveling beyond a neighbor with a 19% increase (cHR: 1.19, 95% CI: 1.15, 1.24). Travelers had similar rates of living donor transplant and waitlist mortality as patients who did not travel; those who traveled beyond a neighbor had slightly lower posttransplant mortality (HR: 0.91, 95% CI: 0.83, 0.99). In conclusion, the ability to travel outside of the recipient's assigned TRR increases access to transplantation and improves long-term survival.

A national study of disenrollment from hospice among people with dementia.

People with dementia (PWD) are at high risk for hospice disenrollment, yet little is known about patterns of disenrollment among the growing number of hospice enrollees with dementia. Retrospective, observational cohort study of 100% Medicare beneficiaries with dementia aged 65 and older enrolled in the Medicare Hospice Benefit between July 2012 and December 2017. Outcome measures included hospice-initiated disenrollment for patients whose rate of decline ceased to meet the Medicare hospice eligibility guideline of "expected death within 6 months" (extended prognosis) and patient-initiated disenrollment (revocation). Hospice, regional, and patient risk factors and variation were assessed with multilevel mixed-effects logistic regression models. Among 867,695 hospice enrollees with dementia, 70,945 (8.2%) were disenrolled due to extended prognosis and 43,133 (5.0%) revoked within 1-year of their index admission. There was substantial variation in hospice provider disenrollment due to extended prognosis (10th-90th percentile 4.5%-14.6%, adjusted median odds ratio (MOR) 1.86, 95% confidence interval (CI) 1.82, 1.91) and revocation (10th-90th percentile 2.5%-10.1%, MOR 2.09, 95% CI 2.03, 2.14). Among hospital referral regions (HRR), there was more variation in revocation (10th-90th percentile 3.5%-7.6%, MOR 1.4, 95% CI 1.34, 1.47) than extended prognosis (10th-90th percentile 7.0%-9.5%, MOR 1.23, 95% CI 1.18, 1.27), with much higher revocation rates noted in HRRs located in the Southeast and Southern California. A number of patient and hospice characteristics were associated with higher odds of both types of disenrollment (younger age, female sex, minoritized race and ethnicity, Medicaid dual eligibility, Medicare Part C enrollment), while some were associated with revocation only (more comorbidities, newer, smaller, and for-profit hospices). In this nationally representative study of hospice enrollees with dementia, hospice disenrollment varied by type of hospice, geographic region, and patient characteristics including age, sex, race, and ethnicity. These findings raise important questions about whether and how the Medicare Hospice Benefit could be adapted to reduce disparities and better support PWD.

Practice consolidation among U.S. medical oncologists over time.

e13627 Background: Physician practices across the U.S. are increasingly merging with hospitals and other practices. The extent of such “practice consolidation” varies by specialty and across geography but has not been well characterized within medical oncology. Methods: Utilizing Medicare data, we identified all medical oncologists (MO) who billed for Medicare services each year between 2015 and January 2022. We associated each physician to one or more unique practices via organizational Taxpayer Identification Numbers (TIN), and classified practices by the number of medical oncologists—including solo (1 MO), small (2-10 MOs), medium (11-24 MOs), and large (25+ MOs) practices. We defined the extent of regional healthcare markets according to Hospital Referral Regions (HRRs), and calculated levels of practice consolidation using the Herfindahl-Hirschman Index (HHI). The HHI is a commonly used measure of consolidation, calculated by summing the square of each practice’s market share. HHI values range from 0 to 1 with higher numbers indicating greater consolidation and less competition among practices. Finally, we generated a multivariable linear regression model to determine which regional market factors were associated with changes in levels of medical oncology practice consolidation over time. Results: Between 2015 and 2022, the number of practices with MOs in the U.S. declined 18.0% from 2,774 to 2,276, while the number of practicing MOs increased 14.5% from 11,727 to 13,433. The median medical oncology practice HHI increased from 0.3204 to 0.3480. Over time the proportion of solo practices fell (48.4% in 2015, 43.9% in 2022) while the proportion of medium and large practices increased (medium: 5.7% to 8.4%; large: 2.7% to 4.5%). By 2022, large practices had grown to employ a significantly larger proportion of all medical oncologists (33.6% to 43.7%, p < 0.001). Between 2015 and 2022, the proportion of practices solely comprised of MOs (as opposed to multispecialty practices) decreased from 40.0% to 28.2%. On multivariable analysis, HRRs with higher levels of hospital consolidation (p < 0.001), greater numbers of hospital beds per 1,000 persons (p = 0.02), and a lesser degree of baseline medical oncology practice consolidation in 2015 (p < 0.001) experienced more consolidation during the study period. Conclusions: Medical oncologists across the U.S. are increasingly working in larger practices. By 2022, more than 40% of all practicing MOs were employed at the largest 5% of practices. Consolidation of medical oncology practices occurred more readily in regions with higher levels of hospital consolidation and a greater supply of hospital beds, suggesting that integration into hospital systems may be a leading source of consolidation. Further study is required to determine the impact of practice consolidation on the cost, quality, and accessibility of cancer care.

Market determinants of commercial prices for intravenous chemotherapy infusions.

1585 Background: Recent price transparency legislation mandated that hospitals across the country report their individually negotiated prices with insurers. Using this data, we sought to characterize the prices paid for standard intravenous (IV) chemotherapy infusions, and determine the hospital, regional, and market factors associated with higher prices. Methods: We utilized a database of U.S. hospital-reported price transparency data to characterize prices for the most commonly billed chemotherapy drug administration Common Procedural Terminology (CPT) codes— 96413 (initial IV chemotherapy infusion) and 96415 (additional hour of IV chemotherapy). We obtained standard charges and commercial prices negotiated with private payers from hospitals that directly administer chemotherapy. To assess variation in prices, we calculated the ratio of the 90th percentile price to the 10th percentile price among private payers in each hospital and among hospitals in each Hospital Referral Region (HRR). We performed multivariable linear regressions to assess hospital, regional, and market factors associated with higher prices. Results: A total of 1,458 hospitals reported at least one price for CPT code 96413 or 96415. Hospitals reported 1 chargemaster and a median of 18 (IQR: 8–35) commercial prices negotiated with different private payers. National median commercial prices for CPT codes 96413 and 96415 were $536.00 (IQR: $326.43-$784.63) and $175.06 (IQR: $98.28-$327.25), respectively. Within each hospital, the 90th percentile commercial price was 2.2 times higher, on average, than the 10th percentile price for CPT code 96413, and 2.8 times higher for 96415. Among different hospitals within each HRR, the median commercial price at the 90th percentile hospital was 1.5 times higher than at the 10th percentile for CPT code 96413, and 2.3 times higher for 96415. On multivariable analysis, higher prices for CPT code 96413 were observed at for-profit hospitals ($215.12 higher than government not-for-profit hospitals, 95% CI: $55.22-$429.61). Higher prices for CPT code 96415 were observed at hospitals with higher predicted practice costs ($35.79 for every 1% increase in the geographical practice cost index, 95% CI: $16.69-$54.87), and a lower disproportionate share percentage ($0.96 for every 1% decrease in DSH patient percentage, 95% CI: $0.08-$19.41). Conclusions: Commercial prices for commonly billed IV chemotherapy infusions demonstrate significant variability. Prices for identical infusions vary by a factor of 2 depending on which hospital or private payer a patient selects. While prices for CPT code 96415 are largely explained by the relative cost of care, prices for the more expensive 96413 appear to be driven by the profit-status of the hospital. Further study is required to characterize the implications of such high levels of price variability on access to care and overall healthcare costs.

Clinical decision support system and hospital readmission reduction: Evidence from U.S. panel data

Using a large-scale panel of U.S. hospitals across health referral regions (HRRs), we empirically examine how a hospital's and its neighboring hospitals' adoption of the Clinical Decision Support System (CDSS) (and their meaningful use of CDSS) affects the hospital's quality of care. We find that CDSS adoption significantly reduces a hospital's readmission rate of heart failure, acute myocardial infarction, and pneumonia patients. We also reveal the regional spillover effects of adoption, where neighboring hospitals' CDSS adoption in the same HRR also reduces a hospital's readmission rates. Such spillover effects become more significant with electronic data interchange, facilitating seamless and errorless communications among hospitals. We also show that the spillover effects may depend on HRRs' different market structures and hospitals' meaningful-use status. Our findings offer theoretical and managerial insights for both healthcare researchers and practitioners.

The geography of social vulnerability and nursing home facility factors related to infectious disease transmission

Background: The impacts of health inequities on healthcare access, utilization, and outcomes have been highlighted by the COVID-19 pandemic, but these issues have been ongoing, yet understudied, in infectious disease epidemiology. Health inequities affect access to care, quality of care, and health outcomes in all healthcare settings. One healthcare setting that has yet to be fully studied in the context of health inequities is nursing homes. Nursing homes have a host of facility and population-specific issues that differ from other healthcare settings, making the impacts of health inequities likely unique and imperative to understand. The impacts of health inequities on nursing homes are unclear, and they likely have downstream effects on trends in morbidity, mortality, and transmission of multidrug-resistant organisms (MDROs) and other pathogens. Method: Here, we present a descriptive analysis, integrating multiple datasets relating to nursing home facility factors (data from the CMS Provider of Services and the CDC NHSN), nursing-home staffing trends (data from the CMS Payroll-Based Journal data), and social vulnerability (data from the CDC Social Vulnerability Index). We conducted a spatial analysis of nursing-home locations and the social vulnerability of the area. Results: Investigations of facilities and health inequities are best conducted in small spatial geographies. Analyses with less detailed spatial geographies miss high levels of heterogeneity in social vulnerability. Figure 1 provides an example, showing that analyzing nursing homes at a smaller spatial scale (ie, healthcare service area or HSA) shows heterogeneity in poverty levels that might be overlooked at a rough spatial scale, like Hospital Referral Regions (HRR). The poverty level associated with a nursing home will differ greatly depending on the geography of the analysis. Conclusions: These findings highlight that health inequities affect the quality and quantity of care of in nursing homes and that research conducted at larger geographical scales may overlook important mechanistic factors. This work will inform epidemiological models for disease transmission in nursing homes, accounting for the impacts of health inequities on transmission. Abating health inequities in all healthcare settings is a necessity to improve public health for the entire United States.Funding: NoneDisclosures: None

United States 2020 Emergency Medicine Resident Workforce Analysis

To characterize the emergency medicine resident physician workforce and the residency programs training them. We identified emergency medicine residents in the 2020 American Medical Association (AMA) Physician Masterfile, analyzed demographic information, mapped both county-level population-adjusted and hospital referral region densities, and compared 2020 versus 2008 resident physician densities. We also analyzed all Accreditation Council for Graduate Medical Education (ACGME)-accredited emergency medicine residency programs from 2013 to 2020, mapped state-level population-adjusted densities, and identified temporal trends in program location and state-level program densities. All population-adjusted densities were calculated using the US Census Bureau resident population estimates. There were 6,993 emergency medicine residents in the 2020 AMA dataset with complete information. Most of them (98%) were in urban areas. Compared with 2008, per 100,000 US population, this represents disproportionate increases in urban areas (total [0.5], urban [0.5], large rural [0.2] and small rural [0.05]). We further identified 160 (2013) to 265 (2020) residency programs using the ACGME data. The new programs were 3-year training programs that were disproportionately added to states with an already higher number of programs (Florida [5 to 19], Michigan [11 to 25], New York [21 to 31], Ohio [9 to 18], Pennsylvania [12 to 21], California [14 to 22]). The number of emergency medicine residency programs has increased; most new programs were added to the states that already had emergency medicine residency programs. There is an emergency physician "desert" in the rural United States, lacking both residents and residency training programs. This analysis provides essential context to the ongoing conversation about the future of the emergency physician workforce.

Geographic Variability, Time Trends and Association of Preoperative Magnetic Resonance Imaging with Surgical Outcomes for Elderly United States Men with Prostate Cancer: A Surveillance, Epidemiology, and End Results-Medicare Analysis.

Our goal was to assess patterns of adoption and population-level outcomes of prostate magnetic resonance imaging (MRI) and association with surgical outcomes across a sample of U.S. elderly. This population-based retrospective study used Surveillance Epidemiology, and End Results-Medicare linked data from 2003-2016 to identify men receiving prostatectomy for prostate cancer. We characterized the proportion of men receiving preoperative MRI in each year and in each hospital referral region (HRR). A 2-stage instrumental variable analysis was performed to assess the association of preoperative MRI with margin status, surgical complications and further cancer-directed therapies. A total of 19,369 men received prostatectomy in 72 HRRs; the mean age was 70.2 years (SD 3.2). The proportion of men receiving a preoperative MRI increased from 2.9% to 28.2% over the study period and ranged from 0.0% to 28.8% in the different HRRs. In our instrumental variable analysis, preoperative MRI was associated with lower odds of positive surgical margin (OR 0.84, 95% CI 0.72-0.97, p=0.01) lower odds of blood transfusions at 30 and 90 days (OR 0.56, 95% CI 0.38-0.83, p=0.003 and OR 0.58, 95% CI 0.41-0.84, p=0.004) but higher odds of further treatments (OR 1.49, 95% CI 1.32-1.70, p <0.001). Given that a minority of men receive presurgical MRIs with marked geographic variability, the association of MRI with lower odds of positive surgical margin suggests that efforts to support the dissemination of prostate MRI may improve surgical outcomes-but may come with a tendency for more resource-intensive cancer care overall.

Association Between Hospital Private Equity Acquisition and Outcomes of Acute Medical Conditions Among Medicare Beneficiaries

As private equity (PE) acquisitions of short-term acute care hospitals (ACHs) continue, their impact on the care of medically vulnerable older adults remains largely unexplored. To investigate the association between PE acquisition of ACHs and access to care, patient outcomes, and spending among Medicare beneficiaries hospitalized with acute medical conditions. This cross-sectional study used a generalized difference-in-differences approach to compare 21 091 222 patients admitted to PE-acquired vs non-PE-acquired short-term ACHs between January 1, 2001, and December 31, 2018, at least 3 years before to 3 years after PE acquisition. The analysis was conducted between December 28, 2020, and February 1, 2022. Differences were estimated using both facility and hospital service area fixed effects. To assess the robustness of findings, regressions were reestimated after including fixed effects of patient county of origin to account for geographic differences in underlying health risks. Two subset analyses were also conducted: (1) an analysis including only hospitals in hospital referral regions with at least 1 PE acquisition and (2) an analysis stratified by participation in the Hospital Corporation of America 2006 acquisition. The study included Medicare beneficiaries 66 years and older who were hospitalized with 1 of 5 acute medical conditions: acute myocardial infarction (AMI), acute stroke, chronic obstructive pulmonary disease exacerbation, congestive heart failure exacerbation, and pneumonia. Acquisition of hospitals by PE firms. Comorbidity burden (measured by Elixhauser comorbidity score), hospital length of stay, in-hospital mortality, 30-day mortality, 30-day readmission, and 30-day episode payments. Among 21 091 222 total Medicare beneficiaries admitted to ACHs between 2001 and 2018, 20 431 486 patients received care at non-PE-acquired hospitals, and 659 736 received care at PE-acquired hospitals. Across all admissions, the mean (SD) age was 79.45 (7.95) years; 11 727 439 patients (55.6%) were male, and 4 550 012 patients (21.6%) had dual insurance; 2 996 560 (14.2%) patients were members of racial or ethnic minority groups, including 2 085 128 [9.9%] Black and 371 648 [1.8%] Hispanic; 18 094 662 patients (85.8%) were White. Overall, 3 083 760 patients (14.6%) were hospitalized with AMI, 2 835 777 (13.4%) with acute stroke, 3 674 477 (17.4%) with chronic obstructive pulmonary disease exacerbation, 5 868 034 (27.8%) with congestive heart failure exacerbation, and 5 629 174 (26.7%) with pneumonia. Comorbidity burden decreased slightly among patients admitted with acute stroke (difference, -0.04 SDs; 95% CI, -0.004 to -0.07 SDs) at acquired hospitals compared with nonacquired hospitals but was unchanged across the other 4 conditions. Among patients with AMI, a greater decrease in in-hospital mortality was observed in PE-acquired hospitals compared with non-PE-acquired hospitals (difference, -1.14 percentage points, 95% CI, -1.86 to -0.42 percentage points). In addition, a greater decrease in 30-day mortality (difference, -1.41 percentage points; 95% CI, -2.26 to -0.56 percentage points) was found at acquired vs nonacquired hospitals. However, 30-day spending and readmission rates remained unchanged across all conditions. The extent and directionality of estimates were preserved across all robustness assessments and subset analyses. In this cross-sectional study using a difference-in-differences approach, PE acquisition had no substantial association with the patient-level outcomes examined, although it was associated with a moderate improvement in mortality among Medicare beneficiaries hospitalized with AMI.

Research on Maternal Service Area and Referral System in Hubei Province, China.

Hospital service area (HSA) and Hospital referral region (HRR) are significant in organizing maternal care resources in hierarchical medical systems. This quantitative study aims to delineate HAS and HRR by using obstetrics medical record data reflecting patients’ medical behavior to improve the efficiency of the utilization of medical resources. The Dartmouth method and an improved version that considers the administrative division was applied to delineate HSA and HRR by using the obstetrics medical records in Hubei Province of China in 2016. The result shows that 117 Dartmouth HSAs have a strong correlation with the county boundaries and 22 Dartmouth HRRs are highly coincident with the prefecture boundaries in Hubei. In addition, 25 improved Dartmouth HRRs within prefecture boundaries and core areas serving patients across prefecture boundaries have been identified. Based on the above results, two sets of hierarchical healthcare systems were constructed, respectively, which can provide methods and references for delineating HAS and HRR in the hierarchical medical systems in other regions of China and developing countries. The findings of this study shed light on future research and policymaking in the spatial organization of medical resources for improving the efficiency and equity in maternal care delivery.

Trends In Hospital Prices Paid By Private Health Plans Varied Substantially Across The US.

Commercial health plans pay higher prices than public payers for hospital care, which accounts for more than 5percent of US gross domestic product. Crafting effective policy responses requires monitoring trends and identifying sources of variation. Relying on data from the Healthcare Provider Cost Reporting Information System, we describe how commercial hospital payment rates changed relative to Medicare rates during 2012-19 and how trends differed by hospital referral region (HRR). We found that average commercial-to-Medicare price ratios were relatively stable, but trends varied substantially across HRRs. Among HRRs with high price ratios in 2012, ratios increased by 38percentage points in regions in the top quartile of growth and decreased by 38percentage points in regions in the bottom quartile. Our findings suggest that restraining the growth rate of HRR commercial hospital price ratios to the national average during our sample period would have reduced aggregate spending by $39billion in 2019.

The unintended consequences of Medicare's wage index adjustment on device-intensive hospital procedures.

To study the association between Medicare's wage index adjustment and the differential use of labor-intensive surgical procedures and medical device-intensive minimally invasive clinical procedures across the UnitedStates. We combine a conceptual model and an empirical investigation of its predictions, applied to aortic valve replacement, to study the relationship between variation in Medicare wage index payment adjustment across hospital referral regions (HRRs) and the utilization of transcatheter aortic valve replacement (TAVR) and surgical aortic valve replacement (SAVR) in these areas. Using detailed individual Medicare claims data for 2013-2018 and a novel geographical crosswalk to nest information on Medicare's wage index and utilization of TAVR and SAVR, we estimate a mixed effects Poisson regression model across HRRs to test our hypotheses. We find regional variation in Medicare wage index adjustment levels to be correlated with differential TAVR and SAVR utilization and growth over time. In particular, in HRRs where the wage index is half the national mean there is a 35% decline in the rate of TAVR use and in HRRs where the wage index is 50% higher than the national mean there is a 52% increase in the rate of TAVR use. Consistent with our framework and hypothesis, our results highlight the importance of adjusting Medicare hospital inpatient payments for device-intensive procedures. Absent such adjustment, access to appropriate interventions may be reduced in areas with low wage index, and lower reimbursement, when driven by wage index adjustment, may influence the treatment approach selected.

Geographic Variation in Apical Support Procedures for Pelvic Organ Prolapse.

To measure geographic variation in rates of apical support procedures for the treatment of pelvic organ prolapse (POP) among female Medicare beneficiaries. We conducted a retrospective, cross-sectional study and used 100% Medicare fee-for-service claims to identify a cohort of women aged 65-99 years who had an apical support procedure, defined by Current Procedural Terminology codes, in 2016-2018. We included all vaginal and abdominal approaches (native tissue and mesh colpopexies) and obliterative procedures. We excluded vaginectomies with a diagnosis of gynecologic cancer that did not have a diagnosis for prolapse. We created rates of apical POP procedures by hospital referral region and computed coefficients of variation to measure the degree of geographic variation. An average of 26,005 apical POP procedures were performed annually from 2016 to 2018. The majority of patients were aged 65-74 years (64.3%), and 28.5% had concomitant hysterectomy. From 2016 to 2018, there was a mean of 1.79 apical POP procedures per 1,000 female beneficiaries performed across hospital referral regions (95% CI 1.74-1.84). Rate estimates ranged between 0.87 (95% CI 0.63-1.11) apical POP procedures per 1,000 female beneficiaries (Alexandria, Louisiana) and 3.33 (95% CI 2.91-3.74) per 1,000 beneficiaries (Akron, Ohio), a nearly fourfold difference in rates. Variation between hospital referral regions for abdominal apical prolapse procedures was the greatest (coefficient of variation 0.52). Vaginal and obliterative approaches demonstrated less variation between hospital referral regions (respectively, coefficient of variation 0.36 and 0.40). There is wide geographic variation among hospital referral regions for the treatment of POP. Women may be treated differently based on where they live and seek care, which raises questions about possible overuse in some regions and concerns about underuse and lack of access in other regions.

Trends in Mortality Rates Among Medicare Enrollees With Alzheimer Disease and Related Dementias Before and During the Early Phase of the COVID-19 Pandemic

The COVID-19 pandemic fundamentally altered the delivery of health care in the United States. The associations between these COVID-19-related changes and outcomes in vulnerable patients, such as among persons with Alzheimer disease and related dementias (ADRD), are not yet well understood. To determine the association between regional rates of COVID-19 infection and excess mortality among individuals with ADRD. This retrospective cross-sectional study used data from beneficiaries of 100% fee-for-service Medicare Parts A and B between January 1, 2019, and December 31, 2020, to assess age- and sex-adjusted mortality rates. Participants were 53 640 888 Medicare enrollees 65 years of age or older categorized into 4 prespecified cohorts: enrollees with or without ADRD and enrollees with or without ADRD residing in nursing homes. Monthly COVID-19 infection rates by hospital referral region between January and December 2020. Mortality rates from March through December 2020 were compared with those from March through December 2019. Excess mortality was calculated by comparing mortality rates in 2020 with rates in 2019 for specific, predetermined groups. Means were compared using t tests, and 95% CIs were estimated using the delta method. This cross-sectional study included 26 952 752 Medicare enrollees in 2019 and 26 688 136 enrollees in 2020. In 2019, the mean (SD) age of community-dwelling beneficiaries without ADRD was 74.1 (8.8) years and with ADRD was 82.6 (8.4) years. The mean (SD) age of nursing home residents with ADRD (83.6 [8.4] years) was similar to that for patients without ADRD (79.7 [8.8] years). Among patients diagnosed as having ADRD in 2019, 63.5% were women, 2.7% were Asian, 9.2% were Black, 5.7% were Hispanic, 80.7% were White, and 1.7% were identified as other (included all races or ethnicities other than those given); the composition did not change appreciably in 2020. Compared with 2019, adjusted mortality in 2020 was 12.4% (95% CI, 12.1%-12.6%) higher among enrollees without ADRD and 25.7% (95% CI, 25.3%-26.2%) higher among all enrollees with ADRD, with even higher percentages for Asian (36.0%; 95% CI, 32.6%-39.3%), Black (36.7%; 95% CI, 35.2%-38.2%), and Hispanic (40.1%; 95% CI, 37.9%-42.3%) populations with ADRD. The hospital referral region in the lowest quintile for COVID-19 infections in 2020 had no excess mortality among enrollees without ADRD but 8.8% (95% CI, 7.5%-10.2%) higher mortality among community-dwelling enrollees with ADRD and 14.2% (95% CI, 12.2%-16.2%) higher mortality among enrollees with ADRD living in nursing homes. The results of this cross-sectional study suggest that the COVID-19 pandemic may be associated with excess mortality among older adults with ADRD, especially for Asian, Black, and Hispanic populations and people living in nursing homes, even in areas with low COVID-19 prevalence.

Association between Surgery, Anesthesia, and Obstetric Workforce and Emergent Surgical and Obstetric Mortality among United States Hospital Referral Regions.

To determine the association between SAO workforce and mortality from emergent surgical and obstetric conditions within US HR Rs. SAO workforce per capita has been identified as a core metric of surgical capacity by the Lancet Commission on Global Surgery, but its utility has not been assessed at the subnational level for a high-income country. The number of practicing surgeons, anesthesiologists, and obstetricians per capita was estimated for all HRRs using the US Health Resources & Services Administration Area Health Resource File Database. Deaths due to emergent general surgical and obstetric conditions were determined from the Center for Disease Control and Prevention WONDER database. We utilized B-spline quantile regression to model the relationship between SAO workforce and emergent surgical mortality at different quantiles of mortality and calculated the expected change in mortality associated with increases in SAO workforce. The median SAO workforce across all HRRs was 74.2 per 100,000 population (interquartile range 33.3-241.0). All HRRs met the Lancet Commission on Global Surgery lower target of 20 SAO per 100,000, and 97.7% met the upper target of 40 per 100,000. Nearly 2.8 million Americans lived in HRRs with fewer than 40 SAO per 100,000. Increases in SAO workforce were associated with decreases in surgical mortality in HRRs with high mortality, with minimal additional decreases in mortality above 60 to 80 SAO per 100,000. Increasing SAO workforce capacity may reduce emergent surgical and obstetric mortality in regions with high surgical mortality but diminishing returns may be seen above 60 to 80 SAO per 100,000. Trial Registration: N/A.

Association of Nursing Home Organizational Culture and Staff Perspectives With Variability in Advanced Dementia Care

Regional, facility, and racial and ethnic variability in intensity of care provided to nursing home residents with advanced dementia is well documented but poorly understood. To assess the factors associated with facility and regional variation in the intensity of care for nursing home residents with advanced dementia. In the ADVANCE (Assessment of Disparities and Variation for Alzheimer Disease Nursing Home Care at End of Life) qualitative study, conducted from June 1, 2018, to July 31, 2021, nationwide 2016-2017 Medicare Minimum Data Set information identified 4 hospital referral regions (HRRs) with high (n = 2) and low (n = 2) intensity of care for patients with advanced dementia based on hospital transfer and tube-feeding rates. Within those HRRs, 14 facilities providing relatively high-intensity and low-intensity care were recruited. A total of 169 nursing home staff members were interviewed, including administrators, directors of nursing, nurses, certified nursing assistants, social workers, occupational therapists, speech-language pathologists, dieticians, medical clinicians, and chaplains. Data included 275 hours of observation, 169 staff interviews, and abstraction of public nursing home material (eg, websites). Framework analyses explored organizational factors and staff perceptions across HRRs and nursing homes in the following 4 domains: physical environment, care processes, decision-making processes, and implicit and explicit values. Among 169 staff members interviewed, 153 (90.5%) were women, the mean (SD) age was 47.6 (4.7) years, and 54 (32.0%) were Black. Tube-feeding rates ranged from 0% in 5 low-intensity facilities to 44.3% in 1 high-intensity facility, and hospital transfer rates ranged from 0 transfers per resident-year in 2 low-intensity facilities to 1.6 transfers per resident-year in 1 high-intensity facility. The proportion of Black residents in facilities ranged from 2.9% in 1 low-intensity facility to 71.6% in 1 high-intensity facility, and the proportion of Medicaid recipients ranged from 45.3% in 1 low-intensity facility to 81.3% in 1 high-intensity facility. Factors distinguishing facilities providing the lowest-intensity care from those providing the highest-intensity care facilities included more pleasant physical environment (eg, good repair and nonmalodorous), standardized advance care planning, greater staff engagement in shared decision-making, and staff implicit values unfavorable to tube feeding. Many staff perceptions were ubiquitous (eg, adequate staffing needs), with no distinct pattern across nursing homes or HRRs. Staff in all nursing homes expressed assumptions that proxies for Black residents were reluctant to engage in advance care planning and favored more aggressive care. Except in nursing homes providing the lowest-intensity care, many staff believed that feeding tubes prolonged life and had other clinical benefits. This study found that variability in the care of patients with advanced dementia may be reduced by addressing modifiable nursing home factors, including enhancing support for low-resource facilities, standardizing advance care planning, and educating staff about evidence-based care and shared decision-making. Given pervasive staff biases toward proxies of Black residents, achieving health equity for nursing home residents with advanced dementia must be the goal behind all efforts aimed at reducing disparities in their care.

Growth in health information exchange with ACO market penetration.

First, to assess whether hospitals expand the network breadth of their health information exchange (HIE) partners after joining an accountable care organization (ACO). Second, to analyze whether this HIE network expansion effect varies across markets with differing levels of ACO penetration. Difference-in-differences analyses of US nonfederal acute care hospitals, 2014-2017. We used data from the American Hospital Association Annual Survey and Information Technology Supplement to measure hospital ACO participation, HIE network breadth (defined as number of different partner types), and ACO market penetration at the hospital referral region level. We implemented a difference-in-differences model to estimate changes in hospitals' HIE network breadth with ACO participation in different years. We estimate these effects combined across all markets and stratified by markets with high and low ACO market penetration. In combined analyses, HIE breadth increased by 0.35 partner types with ACO participation, a 30.7% increase (P < .001). In stratified analyses, this effect was larger for hospitals in high-ACO penetration markets (0.41 partner types, a 32.0% increase; P < .001) and smaller for hospitals in low-ACO penetration markets (0.25 partner types, a 24.8% increase; P < .05). We found dynamic effects of ACO adoption illustrating an immediate effect in high-ACO penetration markets and a 2-year delayed effect in low-ACO penetrationmarkets. Hospitals that joined ACOs increased their HIE breadth, but this effect was heterogenous across markets and across time. Our findings illustrate a "network effect," with large, immediate effects in HIE breadth following ACO participation in high-ACO penetration markets and smaller, delayed effects in low-ACO penetrationmarkets.