The Cost of Transferring Dialysis Care From the Employer-Based Market to Medicare

The Association of Dialysis Facility Payer Mix With Access to Kidney Transplantation

Importance

Insurance coverage for patients with end-stage kidney disease has shifted toward more commercially insured patients at dialysis facilities. The associations among insurance status, facility-level payer mix, and access to kidney transplantation are unclear.

Objective

To determine the association of dialysis facility commercial payer mix and 1-year incidence of wait-listing for kidney transplantation, and to delineate the association of commercial insurance at the patient vs facility level.

Design, Setting, and Participants

This retrospective population-based cohort study used data from the United States Renal Data System from 2013 to 2018. Participants included patients aged 18 to 75 years initiating chronic dialysis between 2013 and 2017, excluding patients with a prior kidney transplant or with major contraindications to kidney transplant. Data were analyzed from August 2021 and May 2023.

Exposure

Dialysis facility commercial payer mix, calculated as the proportion of patients with commercial insurance per facility.

Main Outcomes and Measures

The primary outcome was patients added to a waiting list for kidney transplant within 1 year of dialysis initiation. Multivariable Cox regression, censoring for death, was used to adjust for patient-level (demographic, socioeconomic, and medical) and facility-level factors.

Results

A total of 233 003 patients (97 617 [41.9%] female patients; mean [SD] age, 58.0 [12.1] years) across 6565 facilities met inclusion criteria. Participants included 70 062 Black patients (30.1%), 42 820 Hispanic patients (18.4%), 105 368 White patients (45.2%), and 14 753 patients (6.3%) who identified as another race or ethnicity (eg, American Indian or Alaskan Native, Asian, Native Hawaiian or Pacific Islander, and multiracial). Of 6565 dialysis facilities, the mean (SD) commercial payer mix was 21.2% (15.6 percentage points). Patient-level commercial insurance was associated with increased incidence of wait-listing (adjusted hazard ratio [aHR], 1.86; 95% CI, 1.80-1.93; P < .001). At the facility-level and before covariate adjustment, higher commercial payer mix was associated with increased wait-listing (fourth vs first payer mix quartile [Q]: HR, 1.79; 95% CI, 1.67-1.91; P < .001). However, after covariate-adjustment, including adjusting for patient-level insurance status, commercial payer mix was not significantly associated with outcome (Q4 vs Q1: aHR, 1.02; 95% CI, 0.95-1.09; P = .60).

Conclusions and Relevance

In this national cohort study of patients newly initiated on chronic dialysis, although patient-level commercial insurance was associated with higher access to the kidney transplant waiting lists, there was no independent association of facility-level commercial payer mix with patients being added to waiting lists for transplant. As the landscape of insurance coverage for dialysis evolves, the potential downstream impact on access to kidney transplant should be monitored.

Major cardiovascular events and subsequent risk of kidney failure with replacement therapy: a CKD Prognosis Consortium study

AIMS

Chronic kidney disease (CKD) increases risk of cardiovascular disease (CVD). Less is known about how CVD associates with future risk of kidney failure with replacement therapy (KFRT).

METHODS AND RESULTS

The study included 25 903 761 individuals from the CKD Prognosis Consortium with known baseline estimated glomerular filtration rate (eGFR) and evaluated the impact of prevalent and incident coronary heart disease (CHD), stroke, heart failure (HF), and atrial fibrillation (AF) events as time-varying exposures on KFRT outcomes. Mean age was 53 (standard deviation 17) years and mean eGFR was 89 mL/min/1.73 m2, 15% had diabetes and 8.4% had urinary albumin-to-creatinine ratio (ACR) available (median 13 mg/g); 9.5% had prevalent CHD, 3.2% prior stroke, 3.3% HF, and 4.4% prior AF. During follow-up, there were 269 142 CHD, 311 021 stroke, 712 556 HF, and 605 596 AF incident events and 101 044 (0.4%) patients experienced KFRT. Both prevalent and incident CVD were associated with subsequent KFRT with adjusted hazard ratios (HRs) of 3.1 [95% confidence interval (CI): 2.9-3.3], 2.0 (1.9-2.1), 4.5 (4.2-4.9), 2.8 (2.7-3.1) after incident CHD, stroke, HF and AF, respectively. HRs were highest in first 3 months post-CVD incidence declining to baseline after 3 years. Incident HF hospitalizations showed the strongest association with KFRT [HR 46 (95% CI: 43-50) within 3 months] after adjustment for other CVD subtype incidence.

CONCLUSION

Incident CVD events strongly and independently associate with future KFRT risk, most notably after HF, then CHD, stroke, and AF. Optimal strategies for addressing the dramatic risk of KFRT following CVD events are needed.

Assessment of Spending for Patients Initiating Dialysis Care

IMPORTANCE

Despite a widespread belief that private insurers spend large amounts on health care for enrollees receiving dialysis, data limitations over the past decade have precluded a comprehensive analysis of the topic.

OBJECTIVE

To examine the amount and types of increases in health care spending for privately insured patients associated with initiating dialysis care.

DESIGN, SETTING, AND PARTICIPANTS

A cohort study covering calendar years 2012 to 2019 included patients with kidney failure who had employer-sponsored insurance for 12 months following dialysis initiation. Data analysis was performed from August 27, 2021, to August 18, 2022. The data cover the entirety of the US and were obtained from the Health Care Cost Institute. The data include all medical claims for enrollees in employer-sponsored health insurance plans offered by multiple major health care insurers within the US. Participants included patients younger than 65 years who were continuously enrolled in these plans in the 12 months before and after their first claim for dialysis care. Patients also had to have nonmissing documented key characteristics, such as sex, race and ethnicity, and health characteristics.

EXPOSURES

A claim for dialysis care.

MAIN OUTCOMES AND MEASURES

Out-of-pocket, inpatient, outpatient, physician services, prescription medication, and total health care spending. The hypothesis tested was formulated before data collection.

RESULTS

The sample included 309 800 enrollee-months, which was a balanced panel of 25 months for 12 392 enrollees. At baseline, 7534 patients (61%) were male, 5415 (44%) were aged 55 to 64 years, and patients had been enrolled with their insurer for a mean of 30 months (95% CI, 29.9-30.1 months). In the 12 months before initiating dialysis care, total monthly health care spending was $5025 per patient per month (95% CI, $4945-$5106). Dialysis care initiation was associated with an increase in total monthly spending of $14 685 (95% CI, $14 413-$14 957). This increase occurred across all spending categories (dialysis, nondialysis outpatient, inpatient, physician services, and prescription drugs). Monthly patient out-of-pocket spending increased by $170 (95% CI, $162-$178). These spending increases occurred abruptly, beginning about 2 months before dialysis initiation, and remained increased for the subsequent 12 months.

CONCLUSIONS AND RELEVANCE

In this cohort study, evidence that private insurers experience significant, sustained increases in spending when patients initiated dialysis was noted. The findings suggest that proposed policies aimed at limiting the amount dialysis facilities charge private insurers and the enrollees has the potential to reduce health care spending in this high-cost population.