The effect of race-ethnicity and geography on adoption of innovations in the treatment of schizophrenia

Race and Ethnicity and Diffusion of Telemedicine in Medicaid for Schizophrenia Care After Onset of the COVID-19 Pandemic

Importance

Delivery of mental health care through telehealth (telemental health care) increased after the onset of the COVID-19 pandemic. Little is known about the speed of adoption (diffusion) of telemental health in the care in the care of individuals with schizophrenia.

Objectives

To characterize telemental health care diffusion in mental health agencies serving Medicaid beneficiaries with schizophrenia and the beneficiary-level association of telemental health care use with race and ethnicity.

Design, Setting, and Participants

This retrospective cohort study used New York State Medicaid data from March 1, 2019, to February 29, 2020 (prepandemic period), and from March 11, 2020, to March 31, 2021 (pandemic period), from 261 agencies serving 30 990 beneficiaries with schizophrenia with 1 or more mental health visits during the pandemic period. Statistical analysis was performed from November 2021 through September 2024.

Exposure

Agency percentage of patients belonging to racial and ethnic minority groups among all Medicaid-covered patients between March 2019 and February 2020; agency type, categorized as freestanding, hospital affiliated, or state operated; beneficiary-level race and ethnicity, categorized as Asian or other (American Indian or Alaska Native; Native Hawaiian or Other Pacific Islander), Black, Latinx, White, and unknown; and pandemic severity, operationalized as COVID-19 hospitalization rates per 10 000 population in administratively defined catchment areas.

Main Outcomes and Measures

Days to 10% cumulative telemental health care use within agencies, as well as beneficiary-level time to first telemental health care visit and any telemental health care visit in catchment areas in times of varying pandemic severity.

Results

In this cohort study of 261 agencies (18 [7%] state operated, 79 [30%] hospital affiliated, and 164 [63%] free standing) and 30 990 beneficiaries with schizophrenia (mean [SD] age, 43 [13] years; 59% male; 7% Asian or other, 38% Black, 20% Latinx, and 25% White), 6 agencies (2%) never adopted telemental health care, and 248 (95%) reached 10% cumulative telemental health care visits in a mean of 18 days. Mean (SD) agency prepandemic shares of beneficiaries belonging to racial or ethnic minority groups (56% [23%]) were not associated with telemental health care diffusion. Diffusion was faster in state-operated vs free-standing agencies (hazard ratio [HR], 2.44 [95% CI, 1.21-4.95]). Relative to White beneficiaries, time to first telemental health care visit was slower in every racial and ethnic minority group (Asian or other: HR, 0.93 [95% CI, 0.88-0.98]; Black: HR, 0.90 [95% CI, 0.87-0.93]; Latinx: HR, 0.95 [95% CI, 0.91-0.99]). Beneficiaries from at least 1 racial or ethnic minority group were less likely than White beneficiaries to have a telemental health care visit regardless of pandemic severity and area; differences narrowed when pandemic severity was higher (eg, in New York City, the odds ratio of Black beneficiaries having a telemental health care visit relative to White beneficiaries when the pandemic severity was high was 0.70 [95% CI, 0.63-0.79] but decreased to 0.59 [95% CI, 0.53-0.67] when the pandemic severity was low).

Conclusions and Relevance

In this cohort study of Medicaid beneficiaries with schizophrenia, telemental health care diffused rapidly after the onset of the COVID-19 pandemic, particularly in state-operated agencies. Together, agency-level and beneficiary-level race and ethnicity findings suggest within-agency racial and ethnic differences in diffusion of telemental health care. States should monitor the diffusion of innovations across vulnerable populations.

Statistical Approaches for Quantifying the Quality of Neurosurgical Care

BACKGROUND

Quantifying quality of health care can provide valuable information to patients, providers, and policy makers. However, the observational nature of measuring quality complicates assessments.

METHODS

We describe a conceptual model for defining quality and its implications about the data collected, how to make inferences about quality, and the assumptions required to provide statistically valid estimates. Twenty-one binary or polytomous quality measures collected from 101,051 adult Medicaid beneficiaries aged 18-64 years with schizophrenia from 5 U.S. states show methodology. A categorical principal components analysis establishes dimensionality of quality, and item response theory models characterize the relationship between each quality measure and a unidimensional quality construct. Latent regression models estimate racial/ethnic and geographic quality disparities.

RESULTS

More than 90% of beneficiaries filled at least 1 antipsychotic prescription and 19% were hospitalized for schizophrenia during a 12-month observational period in our multistate cohort with approximately 2/3 nonwhite beneficiaries. Four quality constructs emerged: inpatient, emergency room, pharmacologic/ambulatory, and ambulatory only. Using a 2-parameter logistic model, pharmacologic/ambulatory care quality varied from -2.35 to 1.26 (higher = better quality). Black and Latinx beneficiaries had lower pharmacologic/ambulatory quality compared with whites. Race/ethnicity modified the association of state and pharmacologic/ambulatory care quality in latent regression modeling. Average quality ranged from -0.28 (95% confidence interval, -2.15 to 1.04) for blacks in New Jersey to 0.46 [95% confidence interval, -0.89 to 1.40] for whites in Michigan.

CONCLUSIONS

By combining multiple quality measures using item response theory models, a composite measure can be estimated that has more statistical power to detect differences among subjects than the observed mean per subject.

Measuring Geographic "Hot Spots" of Racial/Ethnic Disparities: An Application to Mental Health Care

This article identifies geographic "hot spots" of racial/ethnic disparities in mental health care access. Using data from the 2001-2003 Collaborative Psychiatric Epidemiology Surveys(CPES), we identified metropolitan statistical areas(MSAs) with the largest mental health care access disparities ("hot spots") as well as areas without disparities ("cold spots"). Racial/ethnic disparities were identified after adjustment for clinical need. Richmond, Virginia and Columbus, Georgia were found to be hot spots for Black-White disparities, regardless of method used. Fresno, California and Dallas, Texas were ranked as having the highest Latino-White disparities and Riverside, California and Houston, Texas consistently ranked high in Asian-White mental health care disparities across different methods. We recommend that institutions and government agencies in these "hot spot" areas work together to address key mechanisms underlying these disparities. We discuss the potential and limitations of these methods as tools for understanding health care disparities in other contexts.

Innovative technologies and social inequalities in health: A scoping review of the literature

The aim of this study was to systematically review the range, nature, and extent of current research activity exploring the influence of innovative health-related technologies on social inequalities in health, with specific focus on a deeper understanding of the variables used to measure this connection and the pathways leading to the (re)production of inequalities. A review process was conducted, based on scoping review techniques, searching literature published from January 1, 1996 to November 25, 2016 using MEDLINE, Scopus, and ISI web of science. Search, sorting, and data extraction processes were conducted by a team of researchers and experts using a dynamic, reflexive examination process. Of 4139 studies collected from the search process, a total of 33 were included in the final analysis. Results of this study include the classification of technologies based on how these technologies are accessed and used by end users. In addition to the factors and mechanisms that influence unequal access to technologies, the results of this study highlight the importance of variations in use that importantly shape social inequalities in health. Additionally, focus on health care services technologies must be accompanied by investigating emerging technologies influencing healthy lifestyle, genomics, and personalized devices in health. Findings also suggest that choosing one measure of social position over another has important implications for the interpretation of research results. Furthermore, understanding the pathways through which various innovative health technologies reduce or (re)produce social inequalities in health is context dependent. In order to better understand social inequalities in health, these contextual variations draw attention to the need for critical distinctions between technologies based on how these various technologies are accessed and used. The results of this study provide a comprehensive starting point for future research to further investigate how innovative technologies may influence the unequal distribution of health as a human right.

Racial, Ethnic, and Nativity Differences in Mental Health Visits to Primary Care and Specialty Mental Health Providers: Analysis of the Medical Expenditures Panel Survey, 2010-2015

Background. Black and Latino minorities have traditionally had poorer access to primary care than non-Latino Whites, but these patterns could change with the Affordable Care Act (ACA). To guide post-ACA efforts to address mental health service disparities, we used a nationally representative sample to characterize baseline race-, ethnicity-, and nativity-associated differences in mental health services in the context of primary care. Methods. Data were obtained from the Medical Expenditures Panel Survey (MEPS), a two-year panel study of healthcare use, satisfaction with care, and costs of services in the United States (US). We pooled data from six waves (14–19) of participants with serious psychological distress to examine racial, ethnic, and nativity disparities in medical and mental health visits to primary care (PC) and specialty mental health (SMH) providers around the time of ACA reforms, 2010–2015. Results. Of the 2747 respondents with serious psychological distress, 1316 were non-Latino White, 632 non-Latino Black, 532 identified as Latino with Mexican, Central American, or South American (MCS) origins, and 267 as Latino with Caribbean island origins; 525 were foreign/island born. All racial/ethnic groups were less likely than non-Latino Whites to have any PC visit. Of those who used PC, non-Latino Blacks were less likely than Whites to have a PC mental health visit, while foreign born MCS Latinos were less likely to visit an SMH provider. Conditional on any mental health visit, Latinos from the Caribbean were more likely than non-Latino Whites to visit SMH providers versus PC providers only, while non-Latino Blacks and US born MCS Latinos received fewer PC mental health visits than non-Latino Whites. Conclusion. Racial-, ethnic-, and nativity-associated disparities persist in PC provided mental health services.

"Impact of drug-reimbursement policies on prescribing: A case-study of a newly marketed long-acting injectable antipsychotic among relapsed schizophrenia patients"

OBJECTIVE

To quantify and explain variation in use of long-acting injectable antipsychotics (LAIs) in the United States, and understand the relationship between patient characteristics, drug reimbursement policies, and LAI prescribing after relapse.

METHODS

A cohort of recently relapsed patients with schizophrenia ages 18 to 64, were identified immediately after discharge from a related inpatient hospitalization, partial hospitalization, or emergency room visit, drawn from 2004 to 2006 Medicaid claims, and followed for 90 days until LAI initiation. Data on state-level Medicaid prior authorization (PA) policies for LAIs were collected. Sequential longitudinal Poisson regression models were developed to understand the relationship between patient and PA policy variables and LAI prescribing, including prior adherence to oral antipsychotics, demographics, clinical variables, and presence of PA policy for LAI.

RESULTS

Among 36 282 patients, 3.1% received risperidone LAI, and 3.8% received a first-generation (FGA) LAI with wide variation across states. Prior adherence ranged from 29% to 89% but was marginally associated with initiation and did not explain variation for LAI prescribing. FGA initiation was associated with geography and race/ethnicity but not PA policy. For risperidone LAI initiation, demographics and clinical factors explained, respectively, 5.0% and 3.0% of the variation; PA policy had a large negative association with initiation (RR = 0.41; 95%CI 0.20-0.87) and explained 8.4% of the variation.

CONCLUSIONS

PA policies may represent a major treatment barrier for risperidone LAI among relapsed patients. Non-adherence plays a little role in predicting which patients receive LAIs. Policy makers and health insurers will need to consider these findings when guiding the use of LAIs. KEY POINTS Among a nationwide cohort of relapsed schizophrenia patients enrolled in US Medicaid, 3.1% received Risperdal Consta, a long-acting injectable antipsychotic (LAI), and 3.8% initiated a first-generation first-generation LAI within 90 days after discharge. During 2004 to 2006, there was marked variation in 90 day post-relapse initiation of Risperdal-Consta-a newly marketed medication during this period-and also marked variation in 90 day post-relapse initiation of any first-generation LAI, which appeared to be associated with race/ethnicity and geography. Prior authorization policies were associated with substantially lower initiation of Risperdal Consta in this cohort of relapsed patients even after accounting for clinical indication (non-adherence), relapse history, demographics, adjunctive medication, and mental health service use.

Trends in Racial-Ethnic Disparities in Access to Mental Health Care, 2004-2012

OBJECTIVE

This study compared trends in racial-ethnic disparities in mental health care access among whites, blacks, Hispanics, and Asians by using the Institute of Medicine definition of disparities as all differences except those due to clinical appropriateness, clinical need, and patient preferences.

METHODS

Racial-ethnic disparities in mental health care access were examined by using data from a nationally representative sample of 214,597 adults from the 2004-2012 Medical Expenditure Panel Surveys. The main outcome measures included three mental health care access measures (use of any mental health care, any outpatient care, and any psychotropic medication in the past year).

RESULTS

Significant disparities were found in 2004-2005 and in 2011-2012 for all three racial-ethnic minority groups compared with whites in all three measures of access. Between 2004 and 2012, black-white disparities in any mental health care and any psychotropic medication use increased, respectively, from 8.2% to 10.8% and from 7.6% to 10.0%. Similarly, Hispanic-white disparities in any mental health care and any psychotropic medication use increased, respectively, from 8.4% to 10.9% and 7.3% to 10.3%.

CONCLUSIONS

No reductions in racial-ethnic disparities in access to mental health care were identified between 2004 and 2012. For blacks and Hispanics, disparities were exacerbated over this period. Clinical interventions that improve identification of symptoms of mental illness, expansion of health insurance, and other policy interventions that remove financial barriers to access may help to reduce these disparities.

Where You Live Matters: Quality and Racial/Ethnic Disparities in Schizophrenia Care in Four State Medicaid Programs

OBJECTIVE

To determine whether (a) quality in schizophrenia care varies by race/ethnicity and over time and (b) these patterns differ across counties within states.

DATA SOURCES

Medicaid claims data from California, Florida, New York, and North Carolina during 2002-2008.

STUDY DESIGN

We studied black, Latino, and white Medicaid beneficiaries with schizophrenia. Hierarchical regression models, by state, quantified person and county effects of race/ethnicity and year on a composite quality measure, adjusting for person-level characteristics.

PRINCIPAL FINDINGS

Overall, our cohort included 164,014 person-years (41-61 percent non-whites), corresponding to 98,400 beneficiaries. Relative to whites, quality was lower for blacks in every state and also lower for Latinos except in North Carolina. Temporal improvements were observed in California and North Carolina only. Within each state, counties differed in quality and disparities. Between-county variation in the black disparity was larger than between-county variation in the Latino disparity in California, and smaller in North Carolina; Latino disparities did not vary by county in Florida. In every state, counties differed in annual changes in quality; by 2008, no county had narrowed the initial disparities.

CONCLUSIONS

For Medicaid beneficiaries living in the same state, quality and disparities in schizophrenia care are influenced by county of residence for reasons beyond patients' characteristics.

Disparities in quality of care among publicly insured adults with schizophrenia in four large U.S. states, 2002-2008

OBJECTIVE

To examine racial/ethnic disparities in quality of schizophrenia care and assess the size of observed disparities across states and over time.

DATA SOURCES

Medicaid claims data from CA, FL, NY, and NC.

STUDY DESIGN

Observational repeated cross-sectional panel cohort study of white, black, and Latino fee-for-service adult beneficiaries with schizophrenia. Main outcome was the relationship of race/ethnicity and year with a composite measure of quality of schizophrenia care derived from 14 evidence-based quality indicators.

PRINCIPAL FINDINGS

Quality was assessed for 325,373 twelve-month person-episodes between 2002 and 2008, corresponding to 123,496 Medicaid beneficiaries. In 2002, quality was lowest for blacks in all states. With the exception of FL, quality was lower for Latinos than whites. In CA, blacks had about 43 percent of the individual indicators met compared to 58 percent for whites. Quality improved annually for all groups in CA, NY, and NC. While in CA the improvement was slightly larger for Latinos, in FL quality improved for blacks but declined for Latinos and whites.

CONCLUSIONS

Quality of schizophrenia care is poor and racial/ethnic disparities exist among Medicaid beneficiaries from four states. The size of the disparities varied across the states, and most of the initial disparities were unchanged by 2008.