Associations between Medicaid enrollment and diagnosis stage and survival among pediatric cancer patients.

BACKGROUND: Medicaid-associated disparities in childhood and adolescent (pediatric) cancer diagnosis stage and survival have been reported. However, a key limitation of prior studies is the assessment of health insurance at a single time point. To evaluate Medicaid-associated disparities more robustly, we used Surveillance, Epidemiology, and End Results (SEER)-Medicaid linked data to examine diagnosis stage and survival disparities in those (i) Medicaid-enrolled and (ii) with discontinuous and continuous Medicaid enrollment. METHODS: SEER-Medicaid linked data from 2006 to 2013 were obtained on cases diagnosed from 0 to 19 years. Medicaid enrollment was classified as enrolled versus not enrolled, with further classifications as continuous when enrolled 6 months before through 6 months after diagnosis, and discontinuous when not enrolled continuously for this period. We used multinomial logistic and Cox proportional hazards regression models to determine associations between enrollment measures, diagnosis stage, and cancer death adjusted for covariates. RESULTS: Among 21,502 cases, a higher odds of distant stage diagnoses were observed in association with Medicaid enrollment (odds ratio [OR] = 1.56, 95% confidence interval [CI]: 1.48-1.65), with the highest odds for discontinuous enrollment (OR = 2.0, 95% CI: 1.86-2.15). Among 30,654 cases, any Medicaid enrollment, continuous enrollment, and discontinuous enrollment were associated with 1.68 (95% CI: 1.35-2.10), 1.66 (95% CI: 1.35-2.05), and 1.89 (95% CI: 1.54-2.33) times higher hazards of cancer death versus no enrollment, respectively. CONCLUSIONS: Medicaid enrollment, particularly discontinuous enrollment, is associated with a higher  distant stage diagnosis odds and risk of death. This study supports the critical need for consistent health insurance coverage in children and adolescents.

Medicare Data Linkages for Conducting Patient-Centered Outcomes Research on Economic Outcomes.

BACKGROUND: Medicare patients and other stakeholders often make health care decisions that have economic consequences. Research on economic variables that patients have identified as important is referred to as patient-centered outcomes research (PCOR) and can generate evidence that informs decision-making. Medicare fee-for-service (FFS) claims are widely used for research and are a potentially valuable resource for studying some economic variables, particularly when linked to other datasets. OBJECTIVE: The aim of this study was to identify and assess the characteristics of federally funded administrative and survey data sources that can be linked to Medicare claims for conducting PCOR on some economic outcomes. RESEARCH DESIGN: A targeted internet search was conducted to identify a list of relevant data sources. A technical panel and key informant interviews were used for guidance and feedback. RESULTS: We identified 12 survey and 6 administrative sources of linked data for Medicare FFS beneficiaries. A majority provide longitudinal data and are updated annually. All linked sources provide some data on social determinants of health and health equity-related factors. Fifteen sources capture direct medical costs (beyond Medicare FFS payments); 5 capture indirect costs (eg, lost wages from absenteeism), and 7 capture direct nonmedical costs (eg, transportation). CONCLUSIONS: Linking Medicare FFS claims data to other federally funded data sources can facilitate research on some economic outcomes for PCOR. However, few sources capture direct nonmedical or indirect costs. Expanding linkages to include additional data sources, and reducing barriers to existing data sources, remain important objectives for increasing high-quality, patient-centered economic research.

Pediatric cancer patient emergency department visits and disposition by sociodemographic and economic characteristics.

BACKGROUND: Limited research has been conducted on cancer-related emergency department (ED) patterns among pediatric cancer patients, including whether there are differences in the characteristics of individuals who seek ED care for cancer complications. The objectives of this study were to determine whether rates and disposition of cancer-related ED visits and hospital admissions in childhood cancer patients differ by sociodemographic factors. METHODS: A cross-sectional analysis of ED encounters with a cancer diagnosis code among patients aged 0-19 years from the 2019 National Emergency Department Sample (NEDS) was conducted. Weighted logistic regression models were utilized to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for a primary cancer-related encounter, and hospital admission overall and by subgroup characteristics. RESULTS: Of the unweighted 6,801,711 ED encounters in children aged 0-19 years, 10,793 were classified as visits by cancer patients. ED encounters of Hispanic versus non-Hispanic White pediatric cancer patients had higher odds of having a cancer-related primary diagnosis (OR = 1.15, 95% CI: 1.04-1.27). ED encounters of non-Hispanic Black pediatric patients and those in the lowest zip code income quartile had higher odds of hospital admission (OR = 1.28, 95% CI: 1.08-1.53; OR = 1.30, 95% CI: 1.15-1.46), while rurality was associated with lower odds of hospital admission (OR = 0.69, 95% CI: 0.57-0.83). CONCLUSION: These results suggest that pediatric cancer patients from certain under-resourced communities are more likely to use the ED for cancer treatment complications, and their encounters are more likely to result in admission to the hospital.

Federal Data for Conducting Patient-centered Outcomes Research on Economic Outcomes.

BACKGROUND: Patients are increasingly interested in data on the economic burdens and impacts of health care choices; caregivers, employers, and payers are also interested in these costs. Although there have been various federal investments into patient-centered outcomes research (PCOR), an assessment of the coverage and gaps in federally funded data for PCOR economic evaluations has not been produced to date. OBJECTIVES: To classify relevant categories of PCOR economic costs, to assess current federally funded data for coverage of these categories, and to identify gaps for future research and collection. RESEARCH DESIGN: A targeted internet search was conducted to identify a list of relevant outcomes and data sources. The study team assessed data sources for coverage of economic outcomes. A technical panel and key informant interviews were used for evaluation and feedback. RESULTS: Four types of formal health care sector costs, 3 types of informal health care sector costs, and 10 types of non-health care sector costs were identified as relevant for PCOR economic evaluations. Twenty-nine federally funded data sources were identified. Most contained elements on formal costs. Data on informal costs (eg, transportation) were less common, and non-health care sector costs (eg, productivity) were the least common. Most data sources were annual, cross-sectional, nationally representative individual-level surveys. CONCLUSIONS: The existing federal data infrastructure captures many areas of the economic burden of health and health care, but gaps remain. Research from multiple data sources and potential future integrations may offset gaps in individual data sources. Linkages are promising strategies for future research on patient-centered economic outcomes.

Expanding population-level interventions to help more low-income smokers quit: Study protocol for a randomized controlled trial.

BACKGROUND: Low-income Americans have higher rates of smoking and a greater burden of smoking-related disease. In the United States, smokers in every state can access evidence-based telephone counseling through free tobacco quitlines. However, quitlines target smokers who are ready to quit in the next 30 days, which can exclude many low-income smokers. A smoke-free homes intervention may help engage smokers in tobacco control services who are not yet ready to quit. Previous research in low-income populations suggests that receiving a smoke-free homes intervention is associated with higher quit rates. This study tests whether, at a population level, expanding on quitlines to include a smoke-free homes intervention for smokers not ready to quit could engage more low-income smokers and increase long-term cessation rates. METHODS: In a Hybrid Type 2 design, participants are recruited from 211 helplines in 9 states and randomly assigned to standard quitline or quitline plus smoke-free homes intervention arms. Participants in both arms are initially offered quitline services. In the quitline plus smoke-free homes condition, participants who decline the quitline are then offered a smoke-free homes intervention. Participants complete a baseline and follow-up surveys at 3 and 6 months. Those who have not yet quit at the 3-month follow-up are re-offered the interventions, which differ by study arm. The primary study outcome is self-reported 7-day point prevalence abstinence from smoking at 6-month follow-up. CONCLUSION: This real-world cessation trial involving 9 state tobacco quitlines will help inform whether offering smoke-free homes as an alternative intervention could engage more low-income smokers with evidence-based interventions and increase overall cessation rates. This study has been registered at ClinicalTrials.gov (Study Identifier: NCT04311983).

Health Insurance Coverage and Racial/Ethnic Disparities in US Childhood and Adolescent Cancer Survival.

OBJECTIVE: To evaluate potential effect modification by health insurance coverage on racial and ethnic disparities in cancer survival among US children and adolescents. STUDY DESIGN: Data from 54 558 individuals diagnosed with cancer at ≤ 19 years between 2004 and 2010 were obtained from the National Cancer Database. Cox proportional hazards regression was used for analyses. An interaction term between race/ethnicity and health insurance type was included to examine racial/ethnic disparities in survival by each insurance status category. RESULTS: Racial/ethnic minorities experienced a 14%-42% higher hazard of death compared with non-Hispanic Whites (NHWs) with magnitudes varying by health insurance type (Pinteraction < .001). Specifically, among those reported as privately insured, the hazard of death was higher for non-Hispanic Blacks (NHBs) (hazard ratio [HR] = 1.48, 95% CI: 1.36-1.62), non-Hispanic American Indian/Alaskan Natives (HR = 1.99, 95% CI: 1.36-2.90), non-Hispanic Asians or Pacific Islanders (HR = 1.30, 95% CI: 1.13-1.50), and Hispanics (HR = 1.28, 95% CI: 1.17-1.40) vs NHWs. Racial/ethnic disparities in survival among those reported as covered by Medicaid were present for NHBs (HR = 1.30, 95% CI: 1.19-1.43) but no other racial/ethnic minorities (HR ranges: 0.98∼1.00) vs NHWs. In the uninsured group, the hazard of death for NHBs (HR = 1.68, 95% CI: 1.26-2.23) and Hispanics (HR = 1.27, 95% CI: 1.01-1.61) was higher vs NHWs. CONCLUSIONS: Disparities in survival exist across insurance types, particularly for NHB childhood and adolescent cancer patients vs NHWs with private insurance. These findings provide insights for research and policy, and point to the need for more efforts on promoting health equity while improving health insurance coverage.

Scaling-up Child and Youth Mental Health Services: Assessing Coverage of a County-Wide Prevention and Early Intervention Initiative During One Fiscal Year.

PURPOSE: In the U.S., the percentage of youth in need of evidence-based mental health practices (EBPs) who receive them (i.e., coverage rate) is low. We know little about what influences coverage rates. In 2010, the Los Angeles County Department of Mental Health (LACDMH) launched a reimbursement-driven implementation of multiple EBPs in youth mental health care. This study examines two questions: (1) What was the coverage rate of EBPs delivered three years following initial implementation? (2) What factors are associated with the coverage rates? METHODS: To assess coverage rates of publicly insured youth, we used LACDMH administrative claims data from July 1, 2013 to June 30, 2014 and estimates of the size of the targeted eligible youth population from the 2014 American Community Survey (ACS). The unit of analysis was clinic service areas (n = 254). We used Geographic Information Systems and an OLS regression to assess community and clinic characteristics related to coverage. RESULTS: The county coverage rate was estimated at 17%, much higher than national estimates. The proportion of ethnic minorities, individuals who are foreign-born, adults with a college degree within a geographic area were negatively associated with clinic service area coverage rates. Having more therapists who speak a language other than English, providing care outside of clinics, and higher proportion of households without a car were associated with higher coverage rates. CONCLUSION: Heterogeneity in municipal mental health record type and availability makes it difficult to compare the LACDMH coverage rate with other efforts. However, the LACDMH initiative has higher coverage than published national rates. Having bilingual therapists and providing services outside the clinic was associated with higher coverage. Even with higher coverage, inequities persisted.

Comparative Safety and Attributable Healthcare Expenditures Following Inappropriate Versus Appropriate Outpatient Antibiotic Prescriptions Among Adults With Upper Respiratory Infections.

BACKGROUND: Little is known about the clinical and financial consequences of inappropriate antibiotics. We aimed to estimate the comparative risk of adverse drug events and attributable healthcare expenditures associated with inappropriate versus appropriate antibiotic prescriptions for common respiratory infections. METHODS: We established a cohort of adults aged 18 to 64 years with an outpatient diagnosis of a bacterial (pharyngitis, sinusitis) or viral respiratory infection (influenza, viral upper respiratory infection, nonsuppurative otitis media, bronchitis) from 1 April 2016 to 30 September 2018 using Merative MarketScan Commercial Database. The exposure was an inappropriate versus appropriate oral antibiotic (ie, non-guideline-recommended vs guideline-recommended antibiotic for bacterial infections; any vs no antibiotic for viral infections). Propensity score-weighted Cox proportional hazards models were used to estimate the association between inappropriate antibiotics and adverse drug events. Two-part models were used to calculate 30-day all-cause attributable healthcare expenditures by infection type. RESULTS: Among 3 294 598 eligible adults, 43% to 56% received inappropriate antibiotics for bacterial and 7% to 66% for viral infections. Inappropriate antibiotics were associated with increased risk of several adverse drug events, including Clostridioides difficile infection and nausea/vomiting/abdominal pain (hazard ratio, 2.90; 95% confidence interval, 1.31-6.41 and hazard ratio, 1.10; 95% confidence interval, 1.03-1.18, respectively, for pharyngitis). Thirty-day attributable healthcare expenditures were higher among adults who received inappropriate antibiotics for bacterial infections ($18-$67) and variable (-$53 to $49) for viral infections. CONCLUSIONS: Inappropriate antibiotic prescriptions for respiratory infections were associated with increased risks of patient harm and higher healthcare expenditures, justifying a further call to action to implement outpatient antibiotic stewardship programs.

Excess hospital costs incurred by individuals with child abuse and neglect history in South Australia: A birth-cohort study.

Child abuse and neglect is a serious public health issue across the globe, with documented impacts on health, but the impact on hospital costs, at the population level, is unknown. We aimed to estimate the additional public hospital costs for emergency department visits and admitted patient hospitalizations, for persons with reported child protection concerns, from birth to 31 years and modelled to age 65. Using linked hospital data from 2003 to 2017 for a population birth-cohort of all individuals born in South Australia from 1986 to 2017, we estimated costs of public hospital care. Mean cost and cost differences (adjusted and unadjusted) in 2018 Australian dollars (AU$) were calculated for persons with child protection contact vs none, per person and at the population level. Persons with child protection contact had higher annualized mean hospital costs than those with no contact, with cost differentials increasing with age. Unadjusted differential cost per person was AU$338 (95% CI AU$204-AU$473) from birth to 12 years; increasing to AU$2242 (AU$2074-AU$2411) at ages 25 to 31 years, equating to an additional AU$124 (US$100) million for public hospital services from birth to 31 years, an 18% cost penalty (33% from 13 to 31 years). Modelled to age 65 years, excess costs were estimated at AU$415 (US$337, adjusted: AU$365 and US$296) million, a 27% cost impost. There is a considerable hospital cost penalty associated with persons with reported child protection concerns, especially from adolescence into adulthood, highlighting an opportunity for cost savings by preventive investment in effective early-in-life interventions.

Economic Evaluation of Ultrasound-guided Central Venous Catheter Confirmation vs Chest Radiography in Critically Ill Patients: A Labor Cost Model.

INTRODUCTION: Despite evidence suggesting that point-of-care ultrasound (POCUS) is faster and non-inferior for confirming position and excluding pneumothorax after central venous catheter (CVC) placement compared to traditional radiography, millions of chest radiographs (CXR) are performed annually for this purpose. Whether the use of POCUS results in cost savings compared to CXR is less clear but could represent a relative advantage in implementation efforts. Our objective in this study was to evaluate the labor cost difference for POCUS-guided vs CXR-guided CVC position confirmation practices. METHODS: We developed a model to evaluate the per patient difference in labor cost between POCUS-guided vs CXR-guided CVC confirmation at our local urban, tertiary academic institution. We used internal cost data from our institution to populate the variables in our model. RESULTS: The estimated labor cost per patient was $18.48 using CXR compared to $14.66 for POCUS, resulting in a net direct cost savings of $3.82 (21%) per patient using POCUS for CVC confirmation. CONCLUSION: In this study comparing the labor costs of two approaches for CVC confirmation, the more efficient alternative (POCUS-guided) is not more expensive than traditional CXR. Performing an economic analysis framed in terms of labor costs and work efficiency may influence stakeholders and facilitate earlier adoption of POCUS for CVC confirmation.

The impact of health insurance coverage on racial/ethnic disparities in US childhood and adolescent cancer stage at diagnosis.

BACKGROUND: Racial/ethnic minority children and adolescents are more likely to have an advanced cancer diagnosis compared with non-Hispanic Whites, which may relate to the lack of consistent health care access. This study aims to describe racial/ethnic disparities in cancer diagnosis stage among children and adolescents and assess whether health insurance mediates these disparities. METHODS: Data on individuals ≤19 years of age diagnosed with primary cancers from 2007 to 2016 were obtained from the Surveillance, Epidemiology, and End Results 18 database. Prevalence ratios (PRs) and 95% confidence intervals (CIs) for the association between race/ethnicity and cancer diagnosis stage were calculated using Poisson regression. Analyses addressing health insurance as a potential mediator were also performed. RESULTS: Compared with non-Hispanic Whites, racial/ethnic minorities had a higher prevalence of a distant cancer diagnosis, with PRs of 1.31 (95% CI, 1.23-1.40) for non-Hispanic Blacks, 1.14 (95% CI, 1.04-1.24) for non-Hispanic Asian/Pacific Islanders, and 1.15 (95% CI, 1.09-1.21) for Hispanics. These associations were attenuated when adjusting for health insurance, with PRs of 1.24 (95% CI, 1.16-1.33) for non-Hispanic Blacks, 1.11 (95% CI, 1.02-1.21) for non-Hispanic Asian/Pacific Islanders, and 1.07 (95% CI, 1.01-1.13) for Hispanics. Any Medicaid or no insurance at diagnosis mediated 49%, 22%, and 9% of the observed association with distant stage in Hispanics, non-Hispanic Blacks, and non-Hispanic Asian/Pacific Islanders, respectively. CONCLUSIONS: Disparities in cancer diagnosis stage in racial/ethnic minority children and adolescents may be partially explained by health insurance coverage. Further research is needed to understand the mechanisms.

Association of Inappropriate Outpatient Pediatric Antibiotic Prescriptions With Adverse Drug Events and Health Care Expenditures.

Importance: Nonguideline antibiotic prescribing for the treatment of pediatric infections is common, but the consequences of inappropriate antibiotics are not well described. Objective: To evaluate the comparative safety and health care expenditures of inappropriate vs appropriate oral antibiotic prescriptions for common outpatient pediatric infections. Design, Setting, and Participants: This cohort study included children aged 6 months to 17 years diagnosed with a bacterial infection (suppurative otitis media [OM], pharyngitis, sinusitis) or viral infection (influenza, viral upper respiratory infection [URI], bronchiolitis, bronchitis, nonsuppurative OM) as an outpatient from April 1, 2016, to September 30, 2018, in the IBM MarketScan Commercial Database. Data were analyzed from August to November 2021. Exposures: Inappropriate (ie, non-guideline-recommended) vs appropriate (ie, guideline-recommended) oral antibiotic agents dispensed from an outpatient pharmacy on the date of infection. Main Outcomes and Measures: Propensity score-weighted Cox proportional hazards models were used to estimate hazards ratios (HRs) and 95% CIs for the association between inappropriate antibiotic prescriptions and adverse drug events. Two-part models were used to calculate 30-day all-cause attributable health care expenditures by infection type. National-level annual attributable expenditures were calculated by scaling attributable expenditures in the study cohort to the national employer-sponsored insurance population. Results: The cohort included 2 804 245 eligible children (52% male; median [IQR] age, 8 [4-12] years). Overall, 31% to 36% received inappropriate antibiotics for bacterial infections and 4% to 70% for viral infections. Inappropriate antibiotics were associated with increased risk of several adverse drug events, including Clostridioides difficile infection and severe allergic reaction among children treated with a nonrecommended antibiotic agent for a bacterial infection (among patients with suppurative OM, C. difficile infection: HR, 6.23; 95% CI, 2.24-17.32; allergic reaction: HR, 4.14; 95% CI, 2.48-6.92). Thirty-day attributable health care expenditures were generally higher among children who received inappropriate antibiotics, ranging from $21 to $56 for bacterial infections and from -$96 to $97 for viral infections. National annual attributable expenditure estimates were highest for suppurative OM ($25.3 million), pharyngitis ($21.3 million), and viral URI ($19.1 million). Conclusions and Relevance: In this cohort study of children with common infections treated in an outpatient setting, inappropriate antibiotic prescriptions were common and associated with increased risks of adverse drug events and higher attributable health care expenditures. These findings highlight the individual- and national-level consequences of inappropriate antibiotic prescribing and further support implementation of outpatient antibiotic stewardship programs.

Grandi Byen-supporting child growth and development through integrated, responsive parenting, nutrition and hygiene: study protocol for a randomized controlled trial.

BACKGROUND: Poor child growth and development outcomes stem from complex relationships encompassing biological, behavioral, social, and environmental conditions. However, there is a dearth of research on integrated approaches targeting these interwoven factors. The Grandi Byen study seeks to fill this research gap through a three-arm longitudinal randomized controlled trial which will evaluate the impact of an integrated nutrition, responsive parenting, and WASH (water, sanitation and hygiene) intervention on holistic child growth and development. METHODS: We will recruit 600 mother-infant dyads living in Cap-Haitien, Haiti and randomize them equally into one of the following groups: 1) standard well-baby care; 2) nutritional intervention (one egg per day for 6 months); and 3) multicomponent Grandi Byen intervention (responsive parenting, nutrition, WASH + one egg per day for 6 months). Primary outcomes include child growth as well as cognitive, language, motor, and social-emotional development. The study also assesses other indicators of child health (bone maturation, brain growth, diarrheal morbidity and allergies, dietary intake, nutrient biomarkers) along with responsive parenting as mediating factors influencing the primary outcomes. An economic evaluation will assess the feasibility of large-scale implementation of the interventions. DISCUSSION: This study builds on research highlighting the importance of responsive parenting interventions on overall child health, as well as evidence demonstrating that providing an egg daily to infants during the complementary feeding period can prevent stunted growth. The multicomponent Grandi Byen intervention may provide evidence of synergistic or mediating effects of an egg intervention with instruction on psychoeducational parenting and WASH on child growth and development. Grandi Byen presents key innovations with implications for the well-being of children living in poverty globally. TRIAL REGISTRATION: NCT04785352 . Registered March 5, 2021 at https://clinicaltrials.gov/.

Associations among social needs, health and healthcare utilization, and desire for navigation services among US Medicaid beneficiaries with type 2 diabetes.

The purpose of this study was to better understand the number and types of social needs experienced by Medicaid beneficiaries with type 2 diabetes, and how their social needs are associated with key health indicators. Also examined were factors that influence patients' interest in navigation services for health and social needs to inform future interventions and service delivery. The study expands upon prior research, much of which has focused on only one social need (e.g., food insecurity) or one health outcome. The hypothesis was that among individuals with type 2 diabetes, those with a greater number of social needs would report more health-related problems and be more interested in receiving social needs navigation services. Participants completed a cross-sectional survey by phone (n = 95) or online (n = 14). Most (85%) reported having at least one social need (M = 2.5, SD = 2.2), most commonly not having enough money for unexpected expenses (68%) or necessities like food, shelter and clothing (31%), medical costs (24%), and utilities (23%). Results supported our comprehensive conceptual model. Having more social needs was associated with greater perceived stress, diabetes distress, problems with sleep and executive and cognitive functioning, less frequent diabetes self-care activities, more days of poor mental health and activity limitations, worse self-reported health and more hospitalisations. Number of social needs also was positively associated with interest in having a social needs navigator. Social needs were not associated with days of poor physical health, BMI, self-reported A1C or smoking status. Social needs were associated with a wide range of indicators of poor health and well-being. Participants with the greatest social need burden were most open to intervention.

Social Needs, Chronic Conditions, and Health Care Utilization among Medicaid Beneficiaries.

Health care organizations are increasingly assessing patients' social needs (eg, food, utilities, transportation) using various measures and methods. Prior studies have assessed social needs at the point of care and many studies have focused on correlates of 1 specific need (eg, food). This comprehensive study examined multiple social needs and medical and pharmacy claims data. Medicaid beneficiaries in Louisiana (n = 10,275) completed a self-report assessment of 10 social needs during July 2018 to June 2019. Chronic health conditions, unique medications, and health care utilization were coded from claims data. The sample was predominantly female (72%), Black (45%) or White (32%), had a mean age of 42 years, and at least 1 social need (55%). In bivariate analyses, having greater social needs was associated with greater comorbidity across conditions, and each social need was consistently associated with mental health and substance use disorders. In multivariable logistic analyses, having ≥2 social needs was positively associated with emergency department (ED) visits (OR = 1.39, CI = 1.23 - 1.57) and negatively associated with wellness visits (OR = 0.87, CI = 0.77 - 0.98), inpatient visits (OR = 0.87, CI = 0.76 - 0.99), and 30-day rehospitalization (OR = 0.66, CI = 0.50 - 0.87). Findings highlight the greater concomitant risk of social needs, mental health, and substance use. Admission policies may reduce the impact of social needs on hospitalization. Chronic disease management programs offered by health plans may benefit from systematically assessing and addressing social needs outside point-of-care interactions to impact health outcomes and ED utilization. Behavioral health care management programs would benefit from integrating interventions for multiple social needs.

Unmet Need for Total Joint Arthroplasty in Medicaid Beneficiaries After Affordable Care Act Expansion.

BACKGROUND: The utilization of total hip arthroplasty (THA) and total knee arthroplasty (TKA) increased after Medicaid expansion under the U.S. Affordable Care Act (ACA), suggesting a potential unmet need for THA and TKA. We examined the timing of THA and TKA in patients after obtaining Medicaid expansion insurance coverage. We hypothesized that patients with Medicaid expansion insurance would undergo a surgical procedure sooner than patients in traditional Medicaid populations. METHODS: We used administrative data from a Medicaid managed care company to determine the timing of primary THA and TKA in patients who were 18 to 64 years of age in 4 states with Medicaid expansion (Illinois, Ohio, Oregon, and Washington) and 4 states without Medicaid expansion (Louisiana, Mississippi, Texas, and Wisconsin) from 2008 to 2015. The insurance types were Medicaid expansion, Medicaid plans for Supplemental Security Income (SSI), or Temporary Assistance for Needy Families (TANF). Roughly, these 3 groups correspond to relatively healthy childless adults, relatively unhealthy disabled adults, and parents of children with Medicaid insurance. The main outcome measure was time from enrollment to the surgical procedure. The primary exposure of interest was insurance type. We used a generalized linear regression model to adjust for patient age, sex, social deprivation, surgeon supply and reimbursement, and state-level Medicaid enrollment. RESULTS: In the unadjusted analysis of 4,117 patients, there was a significantly shorter time from enrollment to THA and TKA for the expansion group (median, 7.5 months) relative to the SSI group (median, 16.1 months; p < 0.0001) and the TANF group (median, 12.2 months; p < 0.0001). In the adjusted analysis, the time from enrollment to THA and TKA was significantly shorter in the expansion group (ß, -1.21 [95% confidence interval (CI), -1.35 to -1.07]; p < 0.001) compared with the TANF group (ß, -0.27 [95% CI, -0.38 to -0.17]; p < 0.001) and the SSI group (reference). Compared with the SSI group, these coefficients are equivalent to a 70% shorter time to the surgical procedure in the expansion group and a 24% shorter time to the surgical procedure in the TANF group. CONCLUSIONS: Our findings suggest an unmet need for THA and TKA among newly enrolled Medicaid expansion beneficiaries. This need should be considered by surgeons, hospitals, and policymakers in ensuring access to care. Furthermore, consideration should be given to existing insurance-based disparities in access to orthopaedic care, as these may be exacerbated by an increased demand for THA and TKA from Medicaid expansion beneficiaries.

Scaling Up Housing Services Within the Child Welfare System: Policy Insights From Simulation Modeling.

OBJECTIVES: Housing insecurity and homelessness contribute to risk of maltreatment among one in five of the nearly 3.5 million children annually investigated for maltreatment in the United States. The Family Unification Program (FUP)-a federal initiative-connects inadequately housed families involved in child welfare with long-term rental subsidies to avoid foster placement. However, FUP remains understudied and underutilized with funding levels that serve only a fraction of eligible households. The present study uses system dynamics modeling to inform decision-making by testing policies for scaling FUP. METHOD: Simulations model delivery of FUP within child welfare from a feedback perspective. Calibrated on national data, models replicate trends in child welfare involvement from 2013 through 2016, and analyses forecast rates through 2019. Experiments test policies that enhance FUP. Outcomes track system-wide rates of family separation and returns on investment of expanded housing interventions. RESULTS: Dramatic expansions of FUP benefit more families and improve marginal return on investment. Yet, scale-up fails to reduce system-wide rates of family separation or generates substantial cost-savings. CONCLUSIONS: Simulations demonstrate structural challenges for scaling FUP. Constant demand for affordable housing constrains sustainable improvements in child protection. Child welfare responses to homelessness require innovations that reduce demand for housing services through prevention and earlier intervention.