Medicaid Population Research Articles

High Hydroxyurea Usage in Sickle Cell Anemia Regardless of Patient Demographic

Introduction/Background: Hydroxyurea is highly effective in sickle cell disease, yet it is still underutilized. The Pediatric Sickle Cell Program of Northern Virginia recently published a 10-year analysis of uniform hydroxyurea (HU) implementation starting in infancy for all patients with sickle cell disease of severe genotype (SCA), demonstrating rise in HU usage from 32.5% baseline rate to 79.6% after two years, and to > 90% after 8 years. 1 Other HU utilization studies reporting lower rates largely use Medicaid data, and lower socioeconomics is often cited as a barrier to HU utilization. The Northern Virginia study reported on all patients with SCA regardless of insurance coverage, thus raising the question whether the high HU usage rate achieved in this program was influenced by a high proportion of non-Medicaid patients or other unusual demographic features. Therefore, we analyzed 10 years of HU usage data by insurance, ethnicity, and age. Methods: HUdata extracted from a longitudinal REDCap database and electronic medical records (EMR) with IRB approval (Children's National Medical Center IRB, Pro00002745, Pro00013374) previously reported 1 for five 2-year intervals are additionally analyzed for insurance, ethnicity, and age, with new data for 2019-2021. HU-eligibility includes SCA patients age ≥ 9 months and not chronically transfused. HU users (on HU) are patients demonstrating Hgb F rise and expected hemogram changes in response to HU, monitored every 2-3 months; HU non-users (not on HU) are patients who refuse HU or are grossly non-adherent as evidenced by lack of changes in Hgb F and hemogram. Pharmacy dispense records available in Epic EMR are used as corroborative information. Results: 1. Medicaid patients comprised 39 - 46% and non-Medicaid patients comprised 54 - 61% of all patients over the five 2-year periods. African-American (AA) and African patients comprised 85% of all patients. Medicaid coverage ranged from 24 - 39% for AA patients and 38 - 48% for African patients. (African is defined as born in Africa or having parents born in Africa who immigrated to the US.) 2. Comparing HU usage by insurance over the five 2-year periods, HU users increased from 72% to 91% for Medicaid patients and from 83% to 95% for non-Medicaid patients. Conversely, HU non-users decreased from 28% to 9% for Medicaid patients and from 17% to 5% for non-Medicaid patients. No statistical difference was detected in HU usage by Medicaid versus non-Medicaid insurance in any interval (p = 0.13 to 0.91) (Table 1). 3. HU usage rates in AA and African patients were not statistically different (p = 0.07 to 0.32), except in one interval (2013-15) (p = 0.006) (Table 1). 4. Comparison of HU usage in two age groups, 9 months-12 years and ≥ 13 years, showed that while HU non-acceptance/non-adherence tended to be higher in the age ≥ 13 group, no statistical significance was reached in any interval (p = 0.13 to 0.97) (Table 1). 5. The uniform HU implementation program targeted for fetal hemoglobin (Hgb F) 30% or higher by frequent HU dose optimization and close adherence monitoring. Hgb F > 20% was considered good adherence, and Hgb F 10-20% reflected partial adherence. Partially adherent patients did not distribute differently between Medicaid and non-Medicaid insurance (p = 0.07 to 0.86) but were predominantly age > 13 (p = 0.0005 to 0.001) (Table 2). Conclusion: 1. HU users and HU non-users did not disproportionately distribute to any demographic group. 2. Uniform HU implementation was effective in both Medicaid and non-Medicaid populations. 3. Ethnicity and age were not significant factors in HU uptake or acceptance, but decreased HU adherence is more frequent in teenagers. 4. HU can be effectively implemented for all SCA patients across demographic groups. Medicaid insurance, as a proxy for socioeconomic level, is not a barrier to high HU usage. Reference: 1. Phan V, Park JA, Dulman R, Lewis A, Briere N, Notarangelo B, Yang E. Ten-year longitudinal analysis of hydroxyurea implementation in a pediatric sickle cell program. Eur J Haematol. 2022 Nov;109(5):465-473. doi: 10.1111/ejh.13827. Epub 2022 Sep 2. PMID: 35811388.

Incidence, Prevalence, and Disease Management Impactability of High Utilization in an Adult Sickle Cell Medical Home

Background: Utilization in adults with sickle cell disease (SCD) is driven by a biopsychosocial mix of predictors. Disease management intervenes on the biopsychosocial determinants of health, partly to drive down avoidable ED visits and hospitalizations. We previously reported the effect of disease management interventions on SCD utilization among adults enrolled in an Adult Sickle Cell Medical Home (Blood)[i]. To further understand the impact of these interventions, we evaluated the incidence, prevalence, and impactability of case management within our Medical Home. Method: The sample includes distinct individuals enrolled in the Adult SCD Medical Home (N=537 in 2017, N=621 in 2018, N=558 in 2019, N=677 in 2020, N=577 in 2021, and N=604 in 2022). We analyzed the “CoVID Years” (2020-2022) separately from the “Pre-CoVID” years (2017-2019). Interventions in the Adult SCD Medical Home included: medical care by MDs, NPs, and nurses; behavioral health counseling by a licensed clinical social worker; case management by Community Health Workers (Patient Navigators), and prior authorization management by a reimbursement specialist, a licensed pharmacy tech. To perform the analysis, we defined High utilizers (vs moderate or low utilizers) as those with >$200,000 in annual medical charges each year between the years 2017-2021. We used the definition threshold to calculate the annual incidence of high utilization: the percentage of moderate or low utilizers in an index year who became high utilizers in the subsequent year. Similarly, the annual prevalence of high utilization was the percentage of all patients who were high utilizers in an index year. And the impactability of high utilization was the percentage of high utilizers in an index year who became moderate or low utilizers in the subsequent year. We calculated the annual high-utilization incidence, prevalence, and impactability for 2018-2022. Results: The annual program high-utilizer incidence, prevalence, and impactability are shown in Table 1. Utilization was stable from year to year, except at the intersection of pre-COVID and COVID years. The impactability score was 0-3.5%. We could not find good literature showing comparative annual changes in rates of impactability in diabetes, congestive heart failure, or vulnerable Medicaid populations. The graphs show individual patients' index and multiple subsequent utilization costs for those remaining in the cohorts (Classes) starting from 2017-2022 (Class of 2018), 2018-2022 (Class of 2019), 2019-2022 (Class of 2020), and 2020-2022 (Class of 2021). No statistical analyses were performed, but the trends were numerically down for all periods. Conclusion: An intense disease management program, as part of an Adult Sickle Cell Medical Home was associated with stable year-over-year high-utilizer percentage. It was also associated with a stable, low annual incidence of ‘new’ high utilizers, and a stable, low impactability among current high utilizers. We could not determine how these program rates compare with analogous rates in other chronic diseases. [i] Intensive Case Management in an Adult Sickle Cell Medical Home: Annual Effects on Utilization Efficiency Using Community Health Workers; Shirley Johnson, BA, LSW1*, Daniel M Sop, BS, MS2, Yue May Zhang, MS3*,Benjamin Jaworowski, BS 1*and Wally R Smith, MD4

Neighborhood Deprivation and Severe Maternal Morbidity in a Medicaid Population

Few studies have examined whether neighborhood deprivation is associated with severe maternal morbidity (SMM) in already socioeconomically disadvantaged populations. Little is known about to what extent neighborhood deprivation accounts for Black-White disparities in SMM. This study investigated these questions among a statewide Medicaid-insured population, a low-income population with heightened risk of SMM. Data were from Michigan statewide linked birth records and Medicaid claims between 01/01/2016 and 12/31/2019, and were analyzed between 2022 and 2023. Neighborhood deprivation was measured with the Area Deprivation Index at census block group and categorized as low, medium, or high deprivation. Multilevel logistic models were used to examine the association between neighborhood deprivation and SMM. Fairlie nonlinear decomposition was conducted to quantify the contribution of neighborhood deprivation to SMM racial disparity. People in the most deprived neighborhoods had higher odds of SMM than those in the least deprived neighborhoods (aOR [95% CI]: 1.27 [1.15, 1.40]). Such association was observed in Black (aOR [95% CI]: 1.34 [1.07, 1.67]) and White (aOR [95% CI]: 1.26 [1.12, 1.42]) racial subgroups. Decomposition showed that of 57.5 (cases per 10,000) explained disparity in SMM, neighborhood deprivation accounted for 23.1 (cases per 10,000; 95% CI: 16.3, 30.0) or two-fifths (40.2%) of the Black-White disparity. Analysis on SMM excluding blood transfusion showed consistent but weaker results. Neighborhood deprivation may be used as an effective tool to identify at-risk individuals within a low-income population. Community-engaged interventions aiming at improving neighborhood conditions may be helpful to reduce both SMM prevalence and racial inequity in SMM.

Prenatal aneuploidy screening in a low-risk Hispanic population: price elasticity and cost-effectiveness

Background: In October 2015, the Massachusetts Medicaid program temporarily stopped reimbursing the ICD-10 code used by certain communities for serum aneuploidy screening. This change resulted in a substantial number of patients without aneuploidy screening for approximately three years.Objective: To determine the change in utilization and cost-effectiveness of prenatal aneuploidy serum screening in a low-risk Hispanic Medicaid population in Massachusetts.Study Design: We conducted a retrospective chart review of Spanish-speaking pregnant patients under 35 years of age receiving aneuploidy serum screening at a Massachusetts community health center. The study compared aneuploidy serum screening rates before and after May 2016, when the Massachusetts Medicaid program, MassHealth, temporarily discontinued reimbursement for the screening. Based on these rates, we developed a Markov cohort simulation model to assess the economic value of reimbursed aneuploidy screening versus non-reimbursed or limited screening. Clinical outcomes included trisomy 21, live births, and therapeutic abortions for a trisomy 21 diagnosis. Economic outcomes included discounted quality-adjusted life years and lifetime medical costs, net health benefit, and incremental cost-effectiveness ratios.Results: Before the MassHealth policy change, 69% (55/80) of pregnant individuals selected quad or sequential screens, compared to 9% (10/112) post-policy change. Traditional aneuploidy serum screening in a low-risk (aged <35 years) Hispanic population was considered cost-saving (i.e., resulted in lower incremental costs and higher incremental benefits compared to non-reimbursed or limited screening).Conclusions: From a U.S. healthcare payer perspective, aneuploidy serum screening for Hispanic pregnant individuals under 35 years of age is economically advantageous compared to limited screening.

Trends in Influenza Vaccination Rates among a Medicaid Population from 2016 to 2021.

Seasonal influenza is a leading cause of death in the U.S., causing significant morbidity, mortality, and economic burden. Despite the proven efficacy of vaccinations, rates remain notably low, especially among Medicaid enrollees. Leveraging Medicaid claims data, this study characterizes influenza vaccination rates among Medicaid enrollees and aims to elucidate factors influencing vaccine uptake, providing insights that might also be applicable to other vaccine-preventable diseases, including COVID-19. This study used Medicaid claims data from nine U.S. states (2016-2021], encompassing three types of claims: fee-for-service, major Medicaid managed care plan, and combined. We included Medicaid enrollees who had an in-person healthcare encounter during an influenza season in this period, excluding those under 6 months of age, over 65 years, or having telehealth-only encounters. Vaccination was the primary outcome, with secondary outcomes involving in-person healthcare encounters. Chi-square tests, multivariable logistic regression, and Fisher's exact test were utilized for statistical analysis. A total of 20,868,910 enrollees with at least one healthcare encounter in at least one influenza season were included in the study population between 2016 and 2021. Overall, 15% (N = 3,050,471) of enrollees received an influenza vaccine between 2016 and 2021. During peri-COVID periods, there was an increase in vaccination rates among enrollees compared to pre-COVID periods, from 14% to 16%. Children had the highest influenza vaccination rates among all age groups at 29%, whereas only 17% were of 5-17 years, and 10% were of the 18-64 years were vaccinated. We observed differences in the likelihood of receiving the influenza vaccine among enrollees based on their health conditions and medical encounters. In a study of Medicaid enrollees across nine states, 15% received an influenza vaccine from July 2016 to June 2021. Vaccination rates rose annually, peaking during peri-COVID seasons. The highest uptake was among children (6 months-4 years), and the lowest was in adults (18-64 years). Female gender, urban residency, and Medicaid-managed care affiliation positively influenced uptake. However, mental health and substance abuse disorders decreased the likelihood. This study, reliant on Medicaid claims data, underscores the need for outreach services.

External Validation of the Klinrisk Model in US Commercial, Medicare Advantage, and Medicaid Populations

External Validation of the Klinrisk Model in US Commercial, Medicare Advantage, and Medicaid Populations

Medicaid compared to private insurance is associated with lower rates of sterilization in people with unwanted births

BackgroundMedicaid, unlike any other insurance mechanism, imposes a consent requirement on female patients desiring sterilization that must be completed at least 30 days, but no more than 180 days, prior to sterilization. Desired sterilization cannot be completed in the Medicaid population without this consent. Large scale national evidence is lacking on the impact of this requirement. ObjectiveThe aim of this study was to explore the influence of insurance status on the achievement of postpartum sterilization following a self-reported unwanted birth in a nationally representative sample. Study DesignWe performed a retrospective cohort analysis using data from the 2013-2015 National Survey of Family Growth (NSFG). The NSFG uses a stratified, multistage clustered sample to make nationally representative estimates for men and women aged 15-44 years in the household population of the U.S. The analysis was limited to a cohort of birthing people who reported their last birth as unwanted and who were insured by either Medicaid or private insurance. The survey was analyzed with application of inverse probability of treatment weights (IPW) to balance those insured by Medicaid and private insurance in addition to the survey weight. The association between completion of postpartum sterilization and insurance type was evaluated using weighted logistic regression, adjusting for demographic and clinical characteristics. ResultsIn an adjusted and IPW balanced analysis of a weighted national sample representing 4,164,304 people (respondent n=416), Medicaid insured birthing people with a history of unwanted birth were found to have 56% lower odds of obtaining postpartum sterilization (OR 0.44; 95%CI 0.22, 0.87; p=0.019) compared to those with private insurance. ConclusionsThis study adds to mounting evidence that insurance type plays a significant role in the achievement of desired postpartum sterilization, with individuals who are insured by Medicaid less likely to undergo the procedure. The findings call for policy reforms around sterilization policy in the United States, emphasizing the need for uniform consent procedures that do not discriminate based on insurance status.

Removal of Medicaid Prior Authorization Requirements and Buprenorphine Treatment for Opioid Use Disorder

Buprenorphine treatment for opioid use disorder (OUD) is associated with decreased morbidity and mortality. Despite its effectiveness, buprenorphine uptake has been limited relative to the burden of OUD. Prior authorization (PA) policies may present a barrier to treatment, though research is limited, particularly in Medicaid populations. To assess whether removal of Medicaid PAs for buprenorphine to treat OUD is associated with changes in buprenorphine prescriptions for Medicaid enrollees. This state-level, serial cross-sectional study used quarterly data from 2015 through the first quarter (January-March) of 2019 to compare buprenorphine prescriptions in states that did and did not remove Medicaid PAs. Analyses were conducted between June 10, 2021, and August 15, 2023. The study included 23 states with active Medicaid PAs for buprenorphine in 2015 that required similar PA policies in fee-for-service and managed care plans and had at least 2 quarters of pre- and postperiod buprenorphine prescribing data. Removal of Medicaid PA for at least 1 formulation of buprenorphine for OUD. The main outcome was number of quarterly buprenorphine prescriptions per 1000 Medicaid enrollees. Between 2015 and the first quarter of 2019, 6 states in the sample removed Medicaid PAs for at least 1 formulation of buprenorphine and had at least 2 quarters of pre- and postpolicy change data. Seventeen states maintained buprenorphine PAs throughout the study period. At baseline, relative to states that repealed PAs, states that maintained PAs had lower buprenorphine prescribing per 1000 Medicaid enrollees (median, 6.6 [IQR, 2.6-13.9] vs 24.1 [IQR, 8.7-27.5] prescriptions) and lower Medicaid managed care penetration (median, 38.5% [IQR, 0.0%-74.1%] vs 79.5% [IQR, 78.1%-83.5%] of enrollees) but similar opioid overdose rates and X-waivered buprenorphine clinicians per 100 000 population. In fully adjusted difference-in-differences models, removal of Medicaid PAs for buprenorphine was not associated with buprenorphine prescribing (1.4% decrease; 95% CI, -31.2% to 41.4%). For states with below-median baseline buprenorphine prescribing, PA removal was associated with increased buprenorphine prescriptions per 1000 Medicaid enrollees (40.1%; 95% CI, 0.6% to 95.1%), while states with above-median prescribing showed no change (-20.7%; 95% CI, -41.0% to 6.6%). In this serial cross-sectional study of Medicaid PA policies for buprenorphine for OUD, removal of PAs was not associated with overall changes in buprenorphine prescribing among Medicaid enrollees. Given the ongoing burden of opioid overdoses, continued multipronged efforts are needed to remove barriers to buprenorphine care and increase availability of this lifesaving treatment.

Racial and ethnic disparities in short interval pregnancy following delivery in Catholic vs non-Catholic hospitals among California Medicaid enrollees

ObjectivesWe examined the impact of Catholic hospital delivery on short interval pregnancy in the California 2010–2014 Medicaid population. Study designWe used Cox regression to estimate the association between hospital affiliation and short interval pregnancy, adjusting for patient factors. ResultsCatholic hospital delivery had increased the risk of pregnancy within 6 months for Black (hazard ratio [HR] 1.11, 95% CI 1.06, 1.17) and Hispanic (HR 1.07, 95% CI 1.05, 1.09) but not for White women (HR 1.02, 95% CI 0.98, 1.05). ConclusionsAmong California women with Medicaid, Catholic hospital delivery was associated with short interval pregnancy only among women of color.

Breast and Colorectal Cancer Screening Utilization after Hurricane María and the COVID-19 Pandemic in Puerto Rico.

Puerto Rico (PR) has faced environmental and public health challenges that could have significantly affected cancer screening access. Using administrative claims data from PR's Medicaid population, this study assessed trends in colorectal and breast cancer screening from 2016 to 2021, the impact of disasters in screening, and the absolute deficit in screening due to the pandemic. The monthly rates of claims were analyzed using Poisson regression. Significant reductions in breast and colorectal cancer screening utilization were observed. The colorectal cancer screening rate in 2017 was 77% lower a month after Hurricanes Irma and María [RRadj: 0.23; 95% CI: 0.20, 0.25] compared to the same time period in 2016. Breast cancer screening dropped 50% in November 2017 compared to November 2016 [RRadj: 0.50; 95% CI: 0.47, 0.54]. Prospectively, a recovery in utilization has been observed only for breast cancer screening. The results revealed that cancer screening utilization substantially declined after environmental disasters and the pandemic. These findings have potentially severe long-term implications for cancer health disparities and mortality in PR.

State-Level Abortion Policy Hostility and Unplanned Births in the Pre-Dobbs Era

An increasingly hostile policy climate has reshaped abortion access in the United States. Recent literature has studied the effects of restrictive abortion policies on reproductive health outcomes. This study is the first to investigate the association between state-level abortion policy hostility and the pregnancy intentions of women with a pregnancy resulting in live birth. Data are from the Pregnancy Risk Assessment Monitoring System survey, merged with a state-level legislative database from 2012–2018 and other state-level controls. Cross-sectional results reveal that a one-unit increase in abortion policy hostility is associated with a relative risk (odds) of having a live birth resulting from an unintended versus intended pregnancy that is 1.02 times as high (RRR = 1.02, 95% confidence interval = 1.01, 1.03). This result corresponds to a 13% increase in the predicted probability of having a live birth resulting from an unintended pregnancy between a zero-hostility and a maximum-hostility state. Models stratified by demographic and socioeconomic characteristics reveal that the association between abortion policy hostility and live birth resulting from an unintended pregnancy is particularly robust among women in younger, less educated, Medicaid, uninsured, and rural populations.

602 Similarities between people with cystic fibrosis and non-cystic fibrosis bronchiectasis within a national Medicaid population

602 Similarities between people with cystic fibrosis and non-cystic fibrosis bronchiectasis within a national Medicaid population

Skilled Nursing Facility Changes in Ownership and Short-Stay Medicare Patient Outcomes

Skilled nursing facility (SNF) changes in ownership are receiving attention in the national conversation regarding health care quality and oversight. SNF ownership changes have been cited as possible ways for SNFs to obscure financial arrangements and shift funds away from patient care; however, it is unclear whether ownership changes are associated with quality outcomes, especially for short-stay patients. To determine which SNF characteristics are associated with changes in ownership and whether ownership changes were associated with differences in short-stay patient outcomes. This cohort study was a secondary analysis of 2016 to 2019 Medicare administrative data including SNFs in the United States with complete data. Data were analyzed from January 2016 through December 2019. SNF change in ownership. Outcomes of interest were facility-level risk-adjusted rates of hospital readmissions, emergency department visits, and community discharge for short-stay patients after admission to an SNF. Analyses were conducted using multivariable logistic regression and controlled interrupted time series. Of 11 004 SNFs, 1459 (13.26%) changed ownership between 2016 and 2019. Compared with for-profit SNFs, nonprofit and government SNFs had lower odds of changing ownership (nonprofit: odds ratio [OR], 0.40; 95% CI, 0.32-0.49; government: OR, 0.26; 95% CI, 0.17-0.41). Chain SNFs had higher odds of changing ownership than nonchain SNFs (OR, 1.38; 95% CI, 1.21-1.59). Urban SNFs with lower occupancy rates (OR per 10-percentage-point decrease, 1.19; 95% CI, 1.14-1.25), larger Medicaid populations (OR per 10-percentage-point increase, 1.17; 95% CI, 1.13-1.22), and lower staffing ratings (OR per 1-star increase on staffing rating, 1.18; 95% CI, 1.14-1.25) had higher odds of changing ownership. Descriptively, all 3 quality outcomes were worse throughout the study in SNFs undergoing ownership change compared with controls that did not change ownership. However, results of interrupted time series models found no associations between an ownership change and hospital readmissions or community discharge rates. Ownership change was associated with a short-term increase of 0.32 (95% CI, 0.03 to 0.62) percentage points in emergency department visits. In this cohort study of 11 004 SNFs in the US between 2016 and 2019, SNF characteristics historically associated with lower quality were more likely to change ownership; however, ownership changes were only associated with short-term increases in ED visits. These results suggest that SNF ownership changes may be a symptom, not a cause, of lower quality.

Social and Medical Care Integration Practices Among Children's Hospitals.

In response to evidence linking social risk factors and adverse health outcomes, new incentives have emerged for hospitals to screen for adverse social determinants of health (SDOH). However, little information is available about the current state of social risk-related care practices among children's hospitals. To address outstanding knowledge gaps, we sought to describe social risk-related care practices among a national sample of children's hospitals. We analyzed responses to the 2020 American Hospital Association Annual Survey. Among children's hospitals, we calculated the prevalence of screening for social needs, strategies to address social risks/needs, partnerships with community-based organizations to address social risks/needs at the individual and community level, and rates of impact assessments of how social risk-related interventions affect outcomes. We also used χ2 tests to compare results by hospital characteristics. We weighted results to adjust for nonresponse. The sample included 82 children's hospitals. A total of 79.6% screened for and 96.0% had strategies to address at least 1 social risk factor, although rates varied by SDOH domain. Children's hospitals more commonly partnered with community-based organizations to address patient-level social risks than to participate in community-level initiatives. A total of 39.2% of hospitals assessed SDOH intervention effectiveness. Differences in social risk-related care practices commonly varied by hospital ownership and Medicaid population but not by region. We found wide variability in social risk-related care practices among children's hospitals based on the risk domain and hospital characteristics. Findings can be used to monitor whether social risk-related care practices change in the setting of new incentives.

Heat and risks of emergency department visits in the Medicaid population in South Korea: a longitudinal health insurance-based cohort study

Heat and risks of emergency department visits in the Medicaid population in South Korea: a longitudinal health insurance-based cohort study

Building an Integrated Data Infrastructure to Examine the Spectrum of Suicide Risk Factors in Philadelphia Medicaid.

While there are many data-driven approaches to identifying individuals at risk of suicide, they tend to focus on clinical risk factors, such as previous psychiatric hospitalizations, and rarely include risk factors that occur in nonclinical settings, such as jails or emergency shelters. A better understanding of system-level encounters by individuals at risk of suicide could help inform suicide prevention efforts. In Philadelphia, we built a community-level data infrastructure that encompassed suicide death records, behavioral health claims, incarceration episodes, emergency housing episodes, and involuntary commitment petitions to examine a broader spectrum of suicide risk factors. Here, we describe the development of the data infrastructure, present key trends in suicide deaths in Philadelphia, and, for the Medicaid-eligible population, determine whether suicide decedents were more likely to interact with the behavioral health, carceral, and housing service systems compared to Medicaid-eligible Philadelphians who did not die by suicide. Between 2003 and 2018, there was an increase in the number of annual suicide deaths among Medicaid-eligible individuals, in part due to changes in Medicaid eligibility. There were disproportionately more suicide deaths among Black and Hispanic individuals who were Medicaid-eligible, who were younger on average, compared to suicide decedents who were never Medicaid-eligible. However, when we accounted for the racial and ethnic composition of the Medicaid population at large, we found that White individuals were four times as likely to die by suicide, while Asian, Black, Hispanic, and individuals of other races were less likely to die by suicide. Overall, 58% of individuals who were Medicaid-eligible and died by suicide had at least one Medicaid-funded behavioral health claim, 10% had at least one emergency housing episode, 25% had at least one incarceration episode, and 22% had at least one involuntary commitment. By developing a data infrastructure that can incorporate a broader spectrum of risk factors for suicide, we demonstrate how communities can harness administrative data to inform suicide prevention efforts. Our findings point to the need for suicide prevention in nonclinical settings such as jails and emergency shelters, and demonstrate important trends in suicide deaths in the Medicaid population.

Development and Validation of a Claims-Based Model to Predict Categories of Obesity.

We developed and validated a claims-based algorithm that classifies patients into obesity categories. Using Medicare (2007-2017) and Medicaid (2000-2014) claims data linked to 2 electronic health record (EHR) systems in Boston, Massachusetts, we identified a cohort of patients with an EHR-based body mass index (BMI) measurement (calculated as weight (kg)/height (m)2). We used regularized regression to select from 137 variables and built generalized linear models to classify patients with BMIs of ≥25, ≥30, and ≥40. We developed the prediction model using EHR system 1 (training set) and validated it in EHR system 2 (validation set). The cohort contained 123,432 patients in the Medicare population and 40,736 patients in the Medicaid population. The model comprised 97 variables in the Medicare set and 95 in the Medicaid set, including BMI-related diagnosis codes, cardiovascular and antidiabetic drugs, and obesity-related comorbidities. The areas under the receiver-operating-characteristic curve in the validation set were 0.72, 0.75, and 0.83 (Medicare) and 0.66, 0.66, and 0.70 (Medicaid) for BMIs of ≥25, ≥30, and ≥40, respectively. The positive predictive values were 81.5%, 80.6%, and 64.7% (Medicare) and 81.6%, 77.5%, and 62.5% (Medicaid), for BMIs of ≥25, ≥30, and ≥40, respectively. The proposed model can identify obesity categories in claims databases when BMI measurements are missing and can be used for confounding adjustment, defining subgroups, or probabilistic bias analysis.

Racial variation in healthcare resource utilization and expenditures in knee/hip osteoarthritis patients: a retrospective analysis of a Medicaid population

BackgroundOsteoarthritis (OA) is a leading cause of chronic pain and disability. Prior studies have documented racial disparities in the clinical management of OA. The objective of this study was to assess the racial variations in the economic burden of osteoarthritis within the Medicaid population.MethodsWe conducted a retrospective observational study using the MarketScan Multi-State Medicaid database (2012-2019). Newly diagnosed, adult, knee and/or hip OA patients were identified and followed for 24 months. Demographic and clinical characteristics were collected at baseline; outcomes, including OA treatments and healthcare resource use (HCRU) and expenditures, were assessed during the 24-month follow-up. We compared baseline patient characteristics, use of OA treatments, and HCRU and costs in OA patients by race (White vs. Black; White vs. Other) and evaluated racial differences in healthcare costs while controlling for underlying differences. The multivariable models controlled for age, sex, population density, health plan type, presence of non-knee/hip OA, cardiovascular disease, low back pain, musculoskeletal pain, presence of moderate to severe OA, and any pre-diagnosis costs.ResultsThe cohort was 56.7% White, 39.9% Black and 3.4% of Other race (American Indian/Alaska Native, Hispanic, Asian, Native Hawaiian/Other Pacific Islander, two or more races and other). Most patients (93.8%) had pharmacologic treatment for OA. Inpatient admission during the 24-month follow-up period was lowest among Black patients (25.8%, p < .001 White vs. Black). In multivariable-adjusted models, mean all-cause expenditures were significantly higher in Black patients ($25,974) compared to White patients ($22,913, p < .001). There were no significant differences between White patients and patients of Other race ($22,352).ConclusionsThe higher expenditures among Black patients were despite a lower rate of inpatient admission in Black patients and comparable length and number of hospitalizations in Black and White patients, suggesting that other unmeasured factors may be driving the increased costs among Black OA patients.

Impact of Medicaid Expansion on Abdominal Surgery Morbidity, Mortality, and Hospital Readmission

IntroductionMedicaid expansion's (ME) impact on postoperative outcomes after abdominal surgery remains poorly defined. We aimed to evaluate ME's effect on surgical morbidity, mortality, and readmissions in a state that expanded Medicaid (Virginia) compared to a state that did not (Tennessee) over the same time period. MethodsVirginia Surgical Quality Collaborative (VSQC) American College of Surgeons National Surgical Quality Improvement Program data for Medicaid, uninsured, and private insurance patients undergoing abdominal procedures before Virginia's ME (3/22/18-12/31/18) were compared with post-ME (1/1/19-12/31/19), as were corresponding non-ME state Tennessee Surgical Quality Collaborative (TSQC) data for the same 2018 and 2019 time periods. Postexpansion odds ratios for 30-d morbidity, 30-d mortality, and 30-d unplanned readmission were estimated using propensity score-adjusted logistic regression models. ResultsIn Virginia, 4753 abdominal procedures, 2097 pre-ME were compared to 2656 post-ME. In Tennessee, 5956 procedures, 2484 in 2018 were compared to 3472 in 2019. VSQC's proportion of Medicaid population increased following ME (8.9% versus 18.8%, P < 0.001) while uninsured patients decreased (20.4% versus 6.4%, P < 0.001). Post-ME VSQC had fewer 30-d readmissions (12.2% versus 6.0%, P = 0.013). Post-ME VSQC Medicaid patients had significantly lower probability of morbidity (−8.18, 95% confidence interval: −15.52 ∼ −0.84, P = 0.029) and readmission (−6.92, 95% confidence interval: −12.56 ∼ −1.27, P = 0.016) compared to pre-ME. There were no differences in probability of morbidity or readmission in the TSQC Medicaid population between study periods (both P > 0.05); there were no differences in mortality between study periods in VSQC and TSQC patient populations (both P > 0.05). ConclusionsME was associated with decreased 30-d morbidity and unplanned readmissions in the VSQC. Data-driven policies accounting for ME benefits should be considered.

Increased Incidence and Risk of Septicemia and Urinary Tract Infection After Clostridioides difficile Infection.

Although increased occurrence of septicemia in persons with Clostridioides difficile infection (CDI) has been reported, incidence rates and risk of septicemia and urinary tract infection (UTI) after CDI are unclear. The first episode of CDI was identified using 2011-2017 MarketScan and CMS Medicare data and CDI cases categorized by standard surveillance definitions. Uninfected persons were frequency matched 4:1 to cases by the CDI case surveillance definition. Multivariable Cox proportional hazards models were used to identify risk factors for septicemia and UTI within 90 days of CDI onset, accounting for the competing risk of death in the Medicare population. The incidence of septicemia was highest after hospital-onset CDI in the Medicare, younger commercial, and younger Medicaid populations (25.5%, 15.7%, and 19.5%, respectively) and lowest in those with community-associated CDI (3.8%, 4.3%, and 8.3%, respectively). In contrast, the incidence of UTI was highest in those with other healthcare facility onset CDI in all 3 populations (32.1%, 24.2%, and 18.1%, respectively). Hospital-onset CDI was associated with highest risk of septicemia compared with uninfected controls in all 3 populations. In the younger populations, risk of septicemia was more uniform across the CDI surveillance definitions. The risk of UTI was significantly higher in all CDI surveillance categories compared to uninfected controls, and among CDI cases it was lowest in those with community-associated CDI. The incidence of septicemia is high after CDI, particularly after hospital-onset infection. Additional preventive measures are needed to reduce infectious complications of CDI.