Area Deprivation and Medicare Spending for Coronary Artery Bypass Grafting: Insights from Michigan

State Healthcare Regulations and Total Knee Arthroplasty Prices Across the United States

Background

The cost of healthcare services in the United States is subject to various regulatory influences, yet the impact of state-level healthcare policies and political affiliations on total knee arthroplasty (TKA) prices remains underexplored.

Methods

Using data from the Turquoise Health Database and publicly available sources, TKA prices were analyzed across states to examine the influence of Medicaid expansion, Certificate of Need (CON) laws, and state partisan lean. Multivariable regression models controlled for Gross Domestic Product per capita, Area Deprivation Index, and urbanization.

Results

Among 64,402 TKAs from 2455 hospitals ($18,164 median, interquartile range: $10,806), states with Medicaid expansion and CON laws demonstrated lower TKA prices. Republican-leaning states had significantly reduced TKA prices compared to Democrat-leaning states, even after adjusting for economic factors (P < .0001).

Conclusions

Medicaid expansion and CON laws were associated with lower TKA prices across the United States. Additionally, states with Republican political leanings tended to have lower listed prices for TKA compared to Democrat-leaning states. These findings underscore the substantial influence of state healthcare policies and political factors on healthcare costs, highlighting the complexities of pricing dynamics in the US healthcare system.

Level of evidence

IV.

Low socioeconomic status adversely influences outcomes after coronary artery bypass grafting

OBJECTIVES

Although socioeconomic status (SES) is believed to affect patient outcomes after coronary artery bypass grafting (CABG), readmission data are sparse. In a national cohort, we analyzed the influence of SES on readmission, resource utilization, and mortality after CABG.

METHODS

We queried the Nationwide Readmissions Database to identify patients who underwent isolated CABG from January 2016 through December 2018. We derived low, middle, and high SES from International Classification of Diseases, 10th Revision, Clinical Modification codes, patient demographics, and neighborhood-level factors. The effect of SES on risk-adjusted outcomes was assessed with multivariable analysis.

RESULTS

Of 523,042 patients who underwent CABG, the 134,039 (25.6%) with low SES were more likely than patients with middle (n = 305,572 [58.4%]) or high SES (n = 83,431 [16%]) to be female, younger, from rural areas, and admitted urgently. Patients with low SES were also less likely to be treated at teaching hospitals and had higher Elixhauser comorbidity scores (P < .001 for all). After risk adjustment, patients with low SES had 46% greater odds of in-hospital mortality at the index operation (odds ratio, 1.464; 95% CI, 1.299-1.650) than patients with high SES. Patients with low SES had the longest index hospital length of stay (P < .001). Low SES was associated with greater odds of readmission at 30 days (odds ratio, 1.229; 95% CI, 1.170-1.292), 90 days (odds ratio, 1.281; 95% CI, 1.223-1.341), and within a calendar year (hazard ratio, 1.234; 95% CI, 1.193-1.278) than high SES.

CONCLUSIONS

Patients with low SES have greater adjusted odds of mortality and readmission after CABG than patients with high SES.

Hospital volume does not mitigate the impact of area socioeconomic deprivation on heart transplantation outcomes

BACKGROUND

While structural socioeconomic inequity has been linked with inferior health outcomes, some have postulated reduced access to high-quality care to be the mediator. We assessed whether treatment at high-volume centers (HVC) would mitigate the adverse impact of area deprivation on heart transplantation (HT) outcomes.

METHODS

All HT recipients ≥18 years were identified in the 2005-2022 Organ Procurement and Transplantation Network. Neighborhood socioeconomic deprivation was assessed using the previously validated Area Deprivation Index. Recipients with scores in the highest quintile were considered Most Deprived (others: Less Deprived). Hospitals in the highest quartile by cumulative center volume (≥21 transplants/year) were classified as HVC. The primary outcome was post-transplant survival.

RESULTS

Of 38,022 HT recipients, 7,579 (20%) were considered Most Deprived. Following risk adjustment, Most Deprived demonstrated inferior survival at 3 (hazard ratio [HR] 1.14, 95% confidence interval [CI] 1.06-1.21) and 5 years following transplantation (HR 1.13, CI 1.07-1.20). Similarly, Most Deprived faced greater graft failure at 3 (HR 1.14, CI 1.06-1.22) and 5 years (HR 1.13, CI 1.07-1.20). Evaluating patients transplanted at HVC, Most Deprived continued to face greater mortality at 3 (HR 1.10, CI 1.01-1.21) and 5 years (HR 1.10, CI 1.01-1.19). The interaction between Most Deprived status and care at HVC was not significant, such that transplantation at HVC did not ameliorate the survival disparity between Most and Less Deprived.

CONCLUSIONS

Area socioeconomic disadvantage is independently associated with inferior survival. Transplantation at HVC did not eliminate this inequity. Future efforts are needed to increase engagement with longitudinal follow-up care and address systemic root causes to improve outcomes.

The impact of political partisanship, certificate of need, Medicaid expansion, and area deprivation index on total shoulder arthroplasty prices in the United States

BACKGROUND

Recent mandates from the Center for Medicare and Medicaid Services require United States hospitals to disclose health care service pricing. Yet, there's a gap in understanding how state-level factors affect hospital service pricing, like total shoulder arthroplasty (TSA). Comprehending these influences can help policymakers and health care providers manage costs and improve care access for vulnerable populations. The purpose of this study was to examine the effect of state characteristics such as partisan lean, certificate of need (CON) status, and Medicaid expansion on TSA price.

METHODS

TSA price data was extracted from the Turquoise Health Database using Current Procedural Terminology code 23472. State partisan lean was determined by evaluating each state during the 2020 election year for its legislature (both senate and house), governor, presidential vote, and Insurance Commissioner Affiliation, categorizing states as either "Republican-leaning" or "Democratic-leaning." CON status, Medicaid expansion, Area Deprivation Index (ADI), and population density information was obtained from publicly available sources. Multivariable regression models were used to assess the relationship between these factors and TSA price.

RESULTS

The study included 2068 hospitals nationwide. The median (interquartile range) price of TSA across these hospitals was $12,607 ($9,185). In the multivariable analysis, hospitals in Republican-leaning states were associated with a significantly greater price of +$210 (P = .0151), while Medicaid expansion was also associated with greater price +$1,878 (P < .0001). CON status was associated with a significant reduction in TSA prices of -$2,880 (P < .0001). In North Carolina an ADI >85 was associated with a reduction in price (P = .0045), while urbanization designation did not significantly impact TSA price (P = .8457).

CONCLUSION

This cross-sectional observational study found that Republican-leaning states and Medicaid expansion were associated with increased TSA prices, while an ADI >85 and CON laws were associated with reduced TSA prices.

The effect of patients' socioeconomic status in rehabilitation centers on the efficiency and performance

BACKGROUND

Patients' socioeconomic status on hospitals' efficiency in controlling for clinical component characteristics may have a role that has few been studied in rehabilitation centers.

DESIGN

Because of the national health insurance system, rehabilitation centers are free of charge. To answer whether a patient's socioeconomic status (SES) is associated with efficiency and performance, we use a counterfactual analysis to get the patient's SES effect "as if" the patient's case was identical to whatever hospital. We restrained the data to patients from public acute care units where the decision on rehabilitation sector admission is based on availability, limiting bias by confounding factors. Besides, an analysis of six pathologies led to the same results.

SETTING

An exhaustive, detailed administrative database on rehabilitation center stays in France. To define the patients' socioeconomic status, we use two sources of data: the information collected at the time of the patient's entry into rehabilitation care and the information collected during the patient's stay in acute care. This double information avoids possible loss of socio-economic details between the two admissions.

POPULATION

Patients recruited were exhaustively admitted over the year 2018 for stroke, chronic obstructive pulmonary disease, heart failure, or total hip replacement in France in the acute care unit and then in a rehab center. Mainly the elderly population. Information on patients' demography, comorbidities, and SES are coded due to the reimbursement system. Different dimensions controlling for factors (hospital ownership, patient clinical characteristics, rehabilitation care specificities, medical staff detailed information, and patients' socioeconomic status), were progressively added to control for any differences in baseline data between the two groups.

METHODS

We assess rehabilitation centers' efficiency by combining selected outcome quality indicators (Physical score improvement, Cognitive score improvement, Mortality, Return-to-home). The specific Providers' Activity Index is used to get the performance index.

CONCLUSIONS

The performance of healthcare institutions is correlated not only to the case mix of their patients but also to the socioeconomic status of the patients admitted. The performance needs to be seen in light of patients' socioeconomic status.

CLINICAL REHABILITATION IMPACTS

The data reveals that patients' socioeconomic status affects rehabilitation care efficiency and performance. In controlling patients' socioeconomic status, for-profit rehabilitation hospitals seemed more efficient than public ones.

Liver transplantation access and outcomes: Impact of variations in liver-specific specialty care

BACKGROUND

We sought to characterize the impact access to gastroenterologists/hepatologists has on liver transplantation listing, as well as time on the liver transplantation waitlist and post-transplant outcomes.

METHODS

Liver transplantation registrants aged >18 years between January 1, 2004 and December 31, 2019 were identified from the Scientific Registry of Transplant Recipients Standard Analytic Files. The liver transplantation registration ratio was defined as the ratio of liver transplant waitlist registrations in a given county per 1,000 liver-related deaths.

RESULTS

A total of 150,679 liver transplantation registrants were included. Access to liver transplantation centers and liver-specific specialty physicians varied markedly throughout the United States. Of note, the liver transplantation registration ratio was lower in counties with poor access to liver-specific care versus counties with adequate access (poor access 137.2, interquartile range 117.8-163.2 vs adequate access 157.6, interquartile range 127.3-192.2, P < .001). Among patients referred for liver transplantation, the cumulative incidence of waitlist mortality and post-transplant graft survival was comparable among patients with poor versus adequate access to liver-specific care (both P > .05). Among liver transplantation recipients living in areas with poor access, after controlling for recipient and donor characteristics, cold ischemic time, and model for end-stage liver disease score, the area deprivation index predicted graft survival (referent, low area deprivation index; medium area deprivation index, hazard ratio 1.52, 95% confidence interval 1.03-12.23; high area deprivation index, 1.45, 95% confidence interval 1.01-12.09, both P < .05).

CONCLUSION

Poor access to liver-specific care was associated with a reduction in liver transplantation registration, and individuals residing in counties with high social deprivation had worse graft survival among patients living in counties with poor access to liver-specific care.

Area-Level Socioeconomic Disadvantage and Health Care Spending: A Systematic Review

Importance

Publicly available, US Census-based composite measures of socioeconomic disadvantage are increasingly being used in a wide range of clinical outcomes and health services research. Area Deprivation Index (ADI) and Social Vulnerability Index (SVI) are 2 of the most commonly used measures. There is also early interest in incorporating area-level measures to create more equitable alternative payment models.

Objective

To review the evidence on the association of ADI and SVI with health care spending, including claims-based spending and patient-reported barriers to care due to cost.

Evidence Review

A systematic search for English-language articles and abstracts was performed in the PubMed, Web of Science, Embase, and Cochrane databases (from inception to March 1, 2023). Peer-reviewed articles and abstracts using a cross-sectional, case-control, or cohort study design and based in the US were identified. Data analysis was performed in March 2023.

Findings

This review included 24 articles and abstracts that used a cross-sectional, case-control, or cohort study design. In 20 of 24 studies (83%), ADI and SVI were associated with increased health care spending. No association was observed in the 4 remaining studies, mostly with smaller sample sizes from single centers. In adjusted models, the increase in spending associated with higher ADI or SVI residence was $574 to $1811 for index surgical hospitalizations, $3003 to $24 075 for 30- and 90-day episodes of care, and $3519 for total annual spending for Medicare beneficiaries. In the studies that explored mechanisms, postoperative complications, readmission risk, and poor primary care access emerged as health care system-related drivers of increased spending.

Conclusions and Relevance

The findings of this systematic review suggest that both ADI and SVI can play important roles in efforts to understand drivers of health care spending and in the design of payment and care delivery programs that capture aspects of social risk. At the health care system level, higher health care spending and poor care access associated with ADI or SVI may represent opportunities to codesign interventions with patients from high ADI or SVI areas to improve access to high-value health care and health promotion more broadly.

Relationship Between Community-Level Distress and Cardiac Rehabilitation Participation, Facility Access, and Clinical Outcomes After Inpatient Coronary Revascularization

BACKGROUND

Although disparities in cardiac rehabilitation (CR) participation are well documented, the role of community-level distress is poorly understood. This study evaluated the relationship between community-level distress and CR participation, access to CR facilities, and clinical outcomes.

METHODS

A retrospective cohort study was conducted on a 100% sample of Medicare beneficiaries undergoing inpatient coronary revascularization between July 2016 and December 2018. Community-level distress was defined using the Distressed Community Index quintile at the beneficiary zip code level, with the first and fifth quintiles representing prosperous and distressed communities, respectively. Outpatient claims were used to identify any CR use within 1 year of discharge. Beneficiary and CR facility zip codes were used to describe access to CR facilities. Adjusted logistic regression models evaluated the association between Distressed Community Index quintiles, CR use, and clinical outcomes, including one-year mortality, all-cause hospitalization, and acute myocardial infarction hospitalization.

RESULTS

A total of 414 730 beneficiaries were identified, with 96 929 (23.4%) located in the first and 67 900 (16.4%) in the fifth quintiles, respectively. Any CR use was lower for beneficiaries in distressed compared with prosperous communities (26.0% versus 46.1%, P<0.001), which was significant after multivariable adjustment (odds ratio, 0.41 [95% CI, 0.40-0.42]). A total of 98 458 (23.7%) beneficiaries had a CR facility within their zip code, which increased from 16.3% in prosperous communities to 26.6% in distressed communities. Any CR use was associated with absolute reductions in mortality (-6.8% [95% CI, -7.0% to -6.7%]), all-cause hospitalization (-5.9% [95% CI, -6.3% to -5.6%]), and acute myocardial infarction hospitalization (-1.3% [95% CI, -1.5% to -1.1%]), which were similar across each Distressed Community Index quintiles.

CONCLUSIONS

Although community-level distress was associated with lower CR participation, the clinical benefits were universally received. Addressing barriers to CR in distressed communities should be considered a significant priority to improve survival after coronary revascularization and reduce disparities.