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.

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.

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.

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 316927 patients, with 6178855 attributed patient-months, the mean (SD) age in January 2017 was 59 (11) years, and 132462 (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..

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.

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.

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.

Background Dialysis facility performance measures to improve access to kidney transplantation are being considered. Referral of patients for kidney transplantation evaluation by the dialysis facility is one potential indicator, but limited data exist to evaluate whether referral is associated with existing dialysis facility quality indicators. Study Design Cross-sectional study. Setting & Participants 12,926 incident (July 2005 to September 2011) adult (aged 18-69 years) patients treated at 241 dialysis facilities with complete quality indicator information from US national registry data linked to transplantation referral data from all 3 Georgia kidney transplantation centers. Factors Facility performance on dialysis quality indicators (high, intermediate, and low tertiles). Outcome Percentages of patients referred within 1 year of dialysis therapy initiation at dialysis facility. Results Overall, a median of 25.4% of patients were referred for kidney transplantation within 1 year of dialysis therapy initiation. Higher facility-level referral was associated with better performance with respect to standardized transplantation ratio (high, 28.6%; intermediate, 25.1%; and low, 22.9%; P = 0.001) and percentage waitlisted (high, 30.7%; intermediate, 26.8%; and low, 19.2%; P  <  0.001). Facility-level referral was not associated with indicators of quality of care associated with dialysis therapy initiation, including percentage of incident patients being informed of transplantation options. For most non−transplantation-related indicators of high-quality care, including those capturing mortality, morbidity, and anemia management, better performance was not associated with higher facility-level transplantation referral. Limitations Potential ecologic fallacy and residual confounding. Conclusions Transplantation referral among patients at dialysis facilities does not appear to be associated with overall quality of dialysis care at the facility. Quality indicators related to kidney transplantation were positively associated with, but not entirely correspondent with, higher percentages of patients referred for kidney transplantation evaluation from dialysis facilities. These results suggest that facility-level referral, which is within the control of the dialysis facility, may provide information about the quality of dialysis care beyond current indicators.

In late 2017, the 7 regional contractors responsible for paying dialysis claims in Medicare proposed new payment rules that would restrict payment for hemodialysis treatments in excess of 3 weekly to exceptional acute-care circumstances. Frequent hemodialysis is performed more frequently than the traditional thrice-weekly pattern, and many stakeholders—patients, providers, dialysis machine manufacturers, and others—have expressed concern that these payment rules will inhibit the growth of this treatment modality's use among US dialysis patients. In this Perspective, we explain the role of these contractors in the context of Medicare's in-center hemodialysis-centric dialysis payment system and assess how well this system accommodates the higher treatment frequencies of both peritoneal dialysis and frequent hemodialysis. Then, given the available evidence concerning the relative effectiveness of these modalities versus thrice-weekly in-center hemodialysis and trends in their use, we discuss options for modifying Medicare's payment system to support frequent dialysis.

Background: Gaps in Medicaid coverage may disrupt access to and continuity of care. This can be detrimental for beneficiaries with chronic conditions, such as major depression, for whom disruptions in access to outpatient care may lead to increased use of acute care. However, little is known about how Medicaid coverage discontinuities impact acute care utilization among adults with depression. Objective: Examine the relationship between Medicaid discontinuities and service utilization among adults with major depression. Subjects: A total of 139,164 adults (18-64) with major depression was identified using the 2003-2004 Medicaid Analytic eXtract Files. Methods: We used generalized linear and two-part models to examine the effect of Medicaid discontinuity on service utilization. To establish causality in this relationship, we used instrumental variables analysis, relying on exogenous variation in a state-level policy for identification. Outcome Measures: Emergency department (ED) visits, inpatient episodes, inpatient days, and Medicaid-reimbursed costs. Results: Approximately 29.4% of beneficiaries experienced coverage disruptions. In instrumental variables models, those with coverage disruptions incurred an increase of $650 in acute care costs per-person per Medicaid-covered month compared with those with continuous coverage, evidenced by an increase in ED use (0.1 more ED visits per-person-month) and inpatient days (0.6 more days per-person-month). The increase in acute costs contributed to an overall increase in all-cause costs by $310 per-person-month (all P-values<0.001). Conclusions: Among depressed adults, those experiencing coverage disruptions have, on average, significantly greater use of costly ED/inpatient services than those with continuous coverage. Maintenance of continuous Medicaid coverage may help prevent acute episodes requiring high-cost interventions.