Kidney Transplantation Contraindications: Variation in Nephrologist Practice and Training Vintage.

Introduction: Health system leaders aim to increase access to kidney transplantation in part by encouraging nephrologists to refer more patients for transplant evaluation. Little is known about nephrologists' referral decisions and whether nephrologists with older training vintage weigh patient criteria differently (e.g., more restrictively). Methods: Using a novel, iteratively validated survey of US-based nephrologists, we examined how nephrologists assess adult patients' suitability for transplant, focusing on established, important criteria: 7 clinical (e.g., overweight) and 7 psychosocial (e.g., insurance). We quantified variation in nephrologist restrictiveness-proportion of criteria interpreted as absolute or partial contraindications versus minor or negligible concerns-and tested associations between restrictiveness and nephrologist age (proxy for training vintage) in logistic regression models, controlling for nephrologist-level and practice-level factors. Results: Of 144 nephrologists invited, 42 survey respondents (29% response rate) were 85% male and 54% non-Hispanic White, with mean age 52 years, and 67% spent ≥1 day/wk in outpatient dialysis facilities. Nephrologists interpreted patient criteria inconsistently; consistency was lower for psychosocial criteria (intraclass correlation coefficient: 0.28) than for clinical criteria (intraclass correlation coefficient: 0.43; P < 0.01). With each additional 10 years of age, nephrologists' odds of interpreting criteria restrictively (top tertile) doubled (adjusted odds ratio [aOR] 1.96; 95% confidence interval [CI]: 0.95-4.07), with marginal statistical significance. This relationship was significant when interpreting psychosocial criteria (aOR: 3.18; 95% CI: 1.16-8.71) but not when interpreting clinical criteria (aOR: 1.12; 95% CI: 0.52-2.38). Conclusion: Nephrologists interpret evaluation criteria variably when assessing patient suitability for transplant. Guideline-based educational interventions could influence nephrologists' referral decision-making differentially by age.

Social Risk and Dialysis Facility Performance in the First Year of the ESRD Treatment Choices Model.

Importance: The End-Stage Renal Disease Treatment Choices (ETC) model randomly selected 30% of US dialysis facilities to receive financial incentives based on their use of home dialysis, kidney transplant waitlisting, or transplant receipt. Facilities that disproportionately serve populations with high social risk have a lower use of home dialysis and kidney transplant raising concerns that these sites may fare poorly in the payment model. Objective: To examine first-year ETC model performance scores and financial penalties across dialysis facilities, stratified by their incident patients' social risk. Design, Setting, and Participants: A cross-sectional study of 2191 US dialysis facilities that participated in the ETC model from January 1 through December 31, 2021. Exposure: Composition of incident patient population, characterized by the proportion of patients who were non-Hispanic Black, Hispanic, living in a highly disadvantaged neighborhood, uninsured, or covered by Medicaid at dialysis initiation. A facility-level composite social risk score assessed whether each facility was in the highest quintile of having 0, 1, or at least 2 of these characteristics. Main Outcomes and Measures: Use of home dialysis, waitlisting, or transplant; model performance score; and financial penalization. Results: Using data from 125 984 incident patients (median age, 65 years [IQR, 54-74]; 41.8% female; 28.6% Black; 11.7% Hispanic), 1071 dialysis facilities (48.9%) had no social risk features, and 491 (22.4%) had 2 or more. In the first year of the ETC model, compared with those with no social risk features, dialysis facilities with 2 or more had lower mean performance scores (3.4 vs 3.6, P = .002) and lower use of home dialysis (14.1% vs 16.0%, P < .001). These facilities had higher receipt of financial penalties (18.5% vs 11.5%, P < .001), more frequently had the highest payment cut of 5% (2.4% vs 0.7%; P = .003), and were less likely to achieve the highest bonus of 4% (0% vs 2.7%; P < .001). Compared with all other facilities, those in the highest quintile of treating uninsured patients or those covered by Medicaid experienced more financial penalties (17.4% vs 12.9%, P = .01) as did those in the highest quintile in the proportion of patients who were Black (18.5% vs 12.6%, P = .001). Conclusions: In the first year of the Centers for Medicare & Medicaid Services' ETC model, dialysis facilities serving higher proportions of patients with social risk features had lower performance scores and experienced markedly higher receipt of financial penalties.

State-Level Variation in Medicaid Managed Care Enrollment and Specialty Care for Publicly Insured Children.

Importance: Medicaid and Children's Health Insurance Program cover almost 50% of children with special health care needs (CSHCN). CSHCN often require specialty services and have been increasingly enrolled in Medicaid managed care (MMC) plans, but there is a dearth of recent national studies on specialty care access among publicly insured children and particularly CSHCN. Objective: To provide recent, nationwide evidence on the association of MMC penetration with specialty care access among publicly insured children, with a special focus on CSHCN. Design, Setting, and Participants: This cross-sectional study used nationally representative data from the 2016 to 2019 National Survey of Children's Health to identify publicly insured children in 41 states that administered comprehensive managed care organizations for Medicaid. Data analysis was performed from May 2022 to March 2023. Exposure: Form CMS-416 data were used to measure state-year level share of Medicaid-enrolled children who were covered by MMC (ie, MMC penetration). Main Outcomes and Measures: Measures of specialty care access included whether, in the past year, the child had (1) any visit to non-mental health (MH) specialists, (2) any visit to MH professionals, and (3) any unmet health care needs and (4) whether the caregiver ever felt frustrated getting services for their child. Logistic regression models were used to examine the association of MMC penetration with specialty care access among all publicly insured children, and separately for CSHCN and non-CSHCN. Results: Among 20 029 publicly insured children, 7164 (35.8%) were CSHCN, 9537 (48.2%) were female, 4110 (37.2%) were caregiver-reported Hispanic, and 2812 (21.4%) were caregiver-reported non-Hispanic Black (all percentages are weighted). MMC was not associated with significant changes in any visit to non-MH specialists and unmet health care needs. In addition, MMC penetration was positively associated with caregiver frustration among all children (adjusted odds ratio, 1.23; 95% CI, 1.03-1.48; P = .02) and was negatively associated with any visit to MH professionals among CSHCN (adjusted odds ratio, 0.75; 95% CI, 0.58-0.98; P = .04). Conclusions and Relevance: In this cross-sectional study evaluating MMC and specialty care access for publicly insured children, increased MMC enrollment was not associated with improved specialty care access for publicly insured children, including CSHCN. MMC was associated with less access to specialties like MH and increased frustrations among caregivers seeking services for their children.

Race, Age, and Kidney Transplant Waitlisting Among Patients Receiving Incident Dialysis in the United States.

Rationale & Objective: Patients with kidney failure from racial and ethnic minority groups and older patients have reduced access to the transplant waitlist relative to White and younger patients. Although racial disparities in the waitlisting group have declined after the 2014 kidney allocation system change, whether there is intersectionality of race and age in waitlisting access is unknown. Study Design: Retrospective cohort study. Setting & Participants: 439,455 non-Hispanic White and non-Hispanic Black US adults initiating dialysis between 2015 and 2019 were identified from the United States Renal Data System, and followed through 2020. Exposures: Patient race and ethnicity (non-Hispanic White and non-Hispanic Black) and age group (18-29, 30-49, 50-64, and 65-80 years). Outcomes: Placement on the United Network for Organ Sharing deceased donor waitlist. Analytical Approach: Age- and race-stratified waitlisting rates were compared. Multivariable Cox proportional hazards models, censored for death, examined the association between race and waitlisting, and included interaction term for race and age. Results: Over a median follow-up period of 1 year, the proportion of non-Hispanic White and non-Hispanic Black patients waitlisted was 20.7% and 20.5%, respectively. In multivariable models, non-Hispanic Black patients were 14% less likely to be waitlisted (aHR, 0.86, 95% CI, 0.77-0.95). Relative differences between non-Hispanic Black and non-Hispanic White patients were different by age group. Non-Hispanic Black patients were 27%, 12%, and 20% less likely to be waitlisted than non-Hispanic White patients for ages 18-29 years (aHR, 0.73; 95% CI, 0.61-0.86), 50-64 (aHR, 0.88; 95% CI, 0.80-0.98), and 65-80 years (aHR, 0.80; 95% CI, 0.71-0.90), respectively, but differences were attenuated among patients aged 30-49 years (aHR, 0.89; 95% CI, 0.77-1.02). Limitations: Race and ethnicity data is physician reported, residual confounding, and analysis is limited to non-Hispanic White and non-Hispanic Black patients. Conclusions: Racial disparities in waitlisting exist between non-Hispanic Black and non-Hispanic White individuals and are most pronounced among younger patients with kidney failure. Results suggest that interventions to address inequalities in waitlisting may need to be targeted to younger patients with kidney failure. Plain-Language Summary: Research has shown that patients from racial and ethnic minority groups and older patients have reduced access to transplant waitlisting relative to White and younger patients; nevertheless, how age impacts racial disparities in waitlisting is unknown. We compared waitlisting between non-Hispanic Black and non-Hispanic White patients with incident kidney failure, within age strata, using registry data for 439,455 US adults starting dialysis (18-80 years) during 2015-2019. Overall, non-Hispanic Black patients were less likely to be waitlisted and relative differences between the two racial groups differed by age. After adjusting for patient-level factors, the largest disparity in waitlisting was observed among adults aged 18-29 years. These results suggest that interventions should target younger adults to reduce disparities in access to kidney transplant waitlisting.

Evaluating Medicaid Managed Care Network Adequacy Standards And Associations With Specialty Care Access For Children.

Medicaid managed care plans cover more than 80 percent of Medicaid-enrolled children, including many children with special health care needs (CSHCN). Federal rules require states to set network adequacy standards to improve specialty care access for Medicaid managed care enrollees. Using a quasi-experimental design and 2016-19 National Survey of Children's Health data, we examined the association between quantitative network adequacy standards and access to specialty care among 8,614 Medicaid-enrolled children, including 3,157 with special health care needs, in eighteen states. Outcomes included whether the child had any visit to non-mental health specialists, any visit to mental health professionals, or any unmet health care needs and whether the caregiver ever felt frustrated in getting services for the child in the past year. We observed no association between the adoption of any quantitative network adequacy standard and the above outcomes among Medicaid-enrolled children. Among CSHCN, however, adopting any quantitative standard was positively associated with caregivers feeling frustrated in getting services for the child, especially among CSHCN who visited non-mental health specialists. Without additional interventions, adopting new network adequacy standards may have unintended consequences for CSHCN.

Mental Health Clinic Administrators' Perspectives on the Impact of Clinic-School Partnerships on Youth Mental Health Services Continuity and Quality.

Partnerships between mental health (MH) clinics and school systems in which providers deliver MH services on school grounds are growing. To date, however, there is little research examining MH clinic administrator perspectives on how this service delivery model affects continuity and quality of MH services among low-income youth. We conducted a state-wide (online and mail) survey of administrators at MH clinics (n = 60) to assess their perspectives on the advantages and challenges of school MH services for Medicaid-enrolled youth. Among survey respondents (n = 44), 86% reported that their clinic had at least one school partnership. With respect to advantages, more than four-fifths reported that school-based MH services (compared to clinic-based services) were very helpful or extremely helpful (versus not helpful at all, a little helpful, or somewhat helpful) for: (1) reducing gaps in MH treatment (86.8%); (2) improving communication between MH providers and teachers (86.9%), and (3) improving the overall quality of MH care (89.5%). In addition, the estimated no-show rate for appointments in school settings (7.2%) was lower than the estimated no show-rate for clinic appointments (23.9%; p < 0.01). Several challenges were also reported; more than two-thirds of respondents reported difficulties when delivering school-based services related to parent engagement (i.e., appointment attendance [89.5%], communication [81.6%], timely consent [68.4%]) that occurred sometimes, often, or always (versus rarely or never). As MH clinics continue to enter into and expand partnerships with schools, stakeholders should implement family-centered strategies to enhance engagement. Nevertheless, MH clinic administrators highlight potential benefits of school MH services (compared to clinic-based services) with respect to continuity and quality of MH care.

Treatment Patterns and Characteristics of Dialysis Facilities Randomly Assigned to the Medicare End-Stage Renal Disease Treatment Choices Model.

Importance: In 2021, Medicare launched the End-Stage Renal Disease Treatment Choices (ETC) model, which randomly assigned approximately 30% of dialysis facilities to new financial incentives to increase use of transplantation and home dialysis; these financial bonuses and penalties are calculated by comparing living-donor transplantation, transplant wait-listing, and home dialysis use in ETC-assigned facilities vs benchmarks from non-ETC-assigned (ie, control) facilities. Because model participation is randomly assigned, evaluators may attribute any downstream differences in outcomes to facility performance rather than any imbalance in baseline characteristics. Objective: To identify preintervention imbalances in dialysis facility characteristics that should be recognized in any ETC model evaluations. Design, Setting, and Participants: This cross-sectional study compared ETC-assigned and control dialysis facility characteristics in the United States from 2017 to 2018. A total of 6062 facilities were included. Data were analyzed from February 2021 to May 2022. Exposures: Assignment to the ETC model. Main Outcomes and Measures: Dialysis facilities' preintervention transplantations and home dialysis use, facility characteristics (notably, profit and chain status), patient demographic characteristics, and community socioeconomic characteristics. Results: Among 316 927 patients, with 6 178 855 attributed patient-months, the mean (SD) age in January 2017 was 59 (11) years, and 132 462 (42%) were female. Patients in ETC-assigned facilities had 9% (0.2 [95% CI, 0.1-0.2] percentage points) lower prevalence of living donor transplantation, 12% (3.2 [95% CI, 3.0-3.3] percentage points) lower prevalence of transplantation wait-listing, and 4% (0.4 [95% CI, 0.3-0.4] percentage points) lower prevalence of peritoneal dialysis use compared with control facilities. ETC-assigned facilities were 14% (5.1 [95% CI, 0.9-9.4] percentage points) more likely than control facilities to be owned by the second largest dialysis organization. Relative to control facilities, ETC-assigned facilities also treated 34% (6.6 [95% CI, 6.5-6.7] percentage point) fewer patients with Hispanic ethnicity and were located in communities with median household incomes that were 4% ($2500; 95% CI, $500-$4500) lower on average. Conclusions and Relevance: In this study, dialysis facilities in ETC-assigned regions had lower preintervention prevalence of transplantation wait-listing, living donor transplantation, and peritoneal dialysis use, relative to control facilities. ETC-assigned and control facilities also differed with respect to other facility, patient, and community characteristics. Evaluators should account for these preintervention imbalances to minimize bias in their inferences about the model's association with postintervention outcomes.

National Estimates of Mental Health Needs Among Adults With Self-Reported CKD in the United States.

Introduction: Among adults with chronic kidney disease (CKD), comorbid mental illness is associated with poorer health outcomes and can impede access to transplantation. We provide the first US nationally representative estimates of the prevalence of mental illness and mental health (MH) treatment receipt among adults with self-reported CKD. Methods: Using 2015 to 2019 National Survey on Drug Use and Health (NSDUH) data, we conducted an observational study of 152,069 adults (age ≥22 years) reporting CKD (n = 2544), with no reported chronic conditions (n = 117,235), or reporting hypertension (HTN) or diabetes mellitus (DM) but not CKD (HTN/DM, n = 32,290). We compared prevalence of (past-year) any mental illness, serious mental illness (SMI), MH treatment, and unmet MH care needs across the groups using logistic regression models. Results: Approximately 26.6% of US adults reporting CKD also had mental illness, including 7.1% with SMI. When adjusting for individual characteristics, adults reporting CKD were 15.4 percentage points (PPs) and 7.3 PPs more likely than adults reporting no chronic conditions or HTN/DM to have any mental illness (P < 0.001) and 5.6 PPs (P < 0.001) and 2.2 PPs (P = 0.01) more likely to have SMI, respectively. Adults reporting CKD were also more likely to receive any MH treatment (21% vs. 12%, 18%, respectively) and to have unmet MH care needs (6% vs. 3%, 5%, respectively). Conclusion: Mental illness is common among US adults reporting CKD. Enhanced management of MH needs could improve treatment outcomes and quality-of-life downstream.

Racial and Ethnic Disparities in Kidney Replacement Therapies Among Adults With Kidney Failure: An Observational Study of Variation by Patient Age.

RATIONALE & OBJECTIVE: Non-Hispanic Black and Hispanic patients present with kidney failure at younger ages than White patients. Younger patients are also more likely to receive transplants and home dialysis than in-center hemodialysis (ICHD), but it is unknown whether racial and ethnic disparities in treatment differ by age. We compared use of kidney replacement therapies between racial and ethnic groups among patients with incident kidney failure overall and by age. STUDY DESIGN: Retrospective cohort study. SETTING & PARTICIPANTS: 830,402 US adult (age >21 years) patients initiating kidney failure treatment during the period of 2011-2018. EXPOSURES: Patient race and ethnicity (non-Hispanic Black, non-Hispanic White, Hispanic, or other) and age group (22-44, 45-64, 65-74, or 75-99 years). OUTCOME: Treatment modality (transplant, peritoneal dialysis [PD], home hemodialysis [HHD], or ICHD) as of day 90 of treatment. ANALYTICAL APPROACH: Differences in treatment modalities were quantified for patient subgroups defined by race and ethnicity and by age. Log-binomial regression models were fit to estimate adjusted risk ratios. RESULTS: 81% of patients were treated with ICHD, 3.0% underwent transplants (85% preemptive, 57% living-donor), 10.5% were treated with PD, and 0.7% were treated with HHD. Absolute disparities in treatment were most pronounced among patients aged 22-44 years. Compared with non-Hispanic White patients, whose percentages of treatment with transplant, PD, and HHD were 10.9%, 19.0%, and 1.2%, respectively, non-Hispanic Black patients were less commonly treated with each modality (unadjusted percentages, 1.8%, 13.8%, and 0.6%, respectively), as were Hispanic patients (4.4%, 16.9%, and 0.5%, respectively; all differences P < 0.001). After adjustment, the largest relative disparities were observed for transplant among the 22-44-year age group; compared with non-Hispanic White patients, the adjusted risk ratios for non-Hispanic Black and Hispanic patients were 0.21 (95% CI, 0.19-0.23) and 0.47 (95% CI, 0.43, 0.51), respectively. LIMITATIONS: Race and ethnicity data not self-reported. CONCLUSIONS: Among adults with incident kidney failure, racial and ethnic disparities in transplant and home dialysis use are most pronounced among the youngest adult patient age group.

Organizational Characteristics Associated with High Performance in Medicare's Comprehensive End-Stage Renal Disease Care Initiative.

BACKGROUND AND OBJECTIVES: Medicare plans to extend financial structures tested through the Comprehensive End-Stage Renal Disease Care (CEC) Initiative-an alternative payment model for maintenance dialysis providers-to promote high-value care for beneficiaries with kidney failure. The End-Stage Renal Disease Seamless Care Organizations (ESCOs) that formed under the CEC Initiative varied greatly in their ability to generate cost savings and improve patient health outcomes. This study examined whether organizational or community characteristics were associated with ESCOs' performance. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: We used a retrospective pooled cross-sectional analysis of all 37 ESCOs participating in the CEC Initiative during 2015-2018 (n=87 ESCO-years). Key exposures included ESCO characteristics: number of dialysis facilities, number and types of physicians, and years of CEC Initiative experience. Outcomes of interest included were above versus below median gross financial savings (2.4%) and standardized mortality ratio (0.93). We analyzed unadjusted differences between high- and low-performing ESCOs and then used multivariable logistic regression to construct average marginal effect estimates for parameters of interest. RESULTS: Above-median gross savings were obtained by 23 (52%) ESCOs with no program experience, 14 (32%) organizations with 1 year of experience, and seven (16%) organizations with 2 years of experience. The adjusted likelihoods of achieving above-median gross savings were 23 (95% confidence interval, 8 to 37) and 48 (95% confidence interval, 24 to 68) percentage points higher for ESCOs with 1 or 2 years of program experience, respectively (versus none). The adjusted likelihood of achieving above-median gross savings was 1.7 (95% confidence interval, -3 to -1) percentage points lower with each additional affiliated dialysis facility. Adjusted mortality rates were lower for ESCOs located in areas with higher socioeconomic status. CONCLUSIONS: Smaller ESCOs, organizations with more experience in the CEC Initiative, and those located in more affluent areas performed better under the CEC Initiative.

Improving Access to Kidney Transplantation: Perspectives From Dialysis and Transplant Staff in the Southeastern United States.

RATIONALE & OBJECTIVE: There are many barriers to meeting the goal of increasing kidney transplants in the United States. It is important to understand dialysis and transplant center providers' existing practices and identified barriers to increasing the number of dialysis patients who are evaluated for and get wait-listed for a transplant. STUDY DESIGN: Cross-sectional survey of dialysis unit and transplant center staff in End Stage Renal Disease Network 6 (Georgia, North Carolina, South Carolina). SETTING & PARTICIPANTS: Ninety-one transplant staff from all 9 transplant centers in the region and 421 dialysis staff from 421 facilities responded to the survey. PREDICTORS: N/A. OUTCOME: Provider perceptions of barriers faced by patients in the kidney transplant evaluation process and suggestions for improving care. ANALYTICAL APPROACH: Mixed methods. Descriptive analyses of responses to multiple-choice questions and qualitative analysis of open-ended survey responses. RESULTS: The top 5 barriers to kidney transplantation as reported by transplant staff were transportation (63.7%), low health literacy (50.5%), lack of understanding about the transplant process (37.4%), distance to transplant center (29.7%), and low socioeconomic status (28.6%). When asked how dialysis units can help patients complete the evaluation process, the most common responses from transplant center staff were educating patients about transplant (54%), helping patients through steps in the process (35%), and better communication with transplant centers (15%). When dialysis unit staff were asked what could be done to help the facility improve its transplant wait-list rate, the most common responses were educational materials for patients and staff (55%), better communication with transplant centers (12%), and transportation and financial assistance (9%). LIMITATIONS: Survey responses are from 1 end stage renal disease network. CONCLUSIONS: Dialysis units, transplant centers, and ESRD networks can work together to help patients address key barriers to transplantation to improve the country's transplantation rate.

Dynamics of Physicians' Trust in Fellow Health Care Providers and the Role of Health Information Technology.

Physicians are expected and incentivized to coordinate patient care with other providers, including nonphysician clinician (NPC) members of care teams, requiring trust. Trust in the context of care teams has not been well-studied; even less is known about how health information technologies (HIT) may modify trust in these relationships. We conducted semistructured interviews with 30 physicians at a Midwestern academic center to examine how physicians determine they can trust NPCs, and how technology modifies these relationships. A majority of physicians base trust in NPCs on cognitive factors such as competence and reliability. Technology enhances trust between physicians and NPCs by supporting evidence-based decision making; it can also erode trust by limiting opportunities for developing familiarity and comfort with fellow providers. Our work has implications for enhancing HIT to promote trust between providers, and for developing more robust measures of trust that can be used in evaluating and improving teamwork within practices.