Justin Blackburn
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The Economic Burden of Untreated Mental Illness in Indiana: Translating Evidence into Policy
Justin Blackburn, Ph.D., is an Associate Professor of Health Policy and Management at the Richard M. Fairbanks School of Public Health in Indianapolis. He is also the Health Policy Ph.D. Program Director and the Scientific Director Wellbeing Informed by Science and Evidence in Indiana (WISE Indiana), a research partnership between the Indiana Clinical and Translational Science Institute and the Indiana Family and Social Services Administration (FSSA). He earned an MPH in epidemiology from the University of Kentucky College of Public Health and a Ph.D. in epidemiology from the University of Alabama at Birmingham School of Public Health. He has published over 90 peer-reviewed articles, served on 27 dissertation research committees, and generated over $2 million in research funding.
Dr. Blackburn's research primarily involves leveraging large administrative data sets to evaluate public health policy and outcomes at the state, local, and national level. He is a frequent collaborator with state and local public health agencies, and has applied methodologically innovative approaches to evaluate important public health topics including dental health services and outcomes, long-term care policy and outcomes, Medicaid and CHIP coverage, and measuring health care quality. In a new study, Dr. Blackburn and his co-researchers, revealed the economic burden of untreated mental illness in Indiana, which results in $4.2 billion spent annually. Dr. Blackburn's use of data to inform health policies for the benefit of community members is another excellent example of how IUPUI's faculty members are TRANSLATING their RESEARCH INTO PRACTICE.
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Item Nursing Home Chain Affiliation and Its Impact on Specialty Service Designation for Alzheimer Disease(INQUIRY: The Journal of Health Care Organization, Provision, and Financing, 2018) Blackburn, Justin; Zheng, Qing; Grabowski, David C.; Hirth, Richard; Intrator, Orna; Stevenson, David G.; Banaszak-Holl, Jane; Health Policy and Management, School of Public HealthSpecialty care units (SCUs) in nursing homes (NHs) grew in popularity during the 1990s to attract residents while national policies and treatment paradigms changed. Alzheimer disease has consistently been the dominant form of SCU. This study explored the extent to which chain affiliation, which is common among NHs, affected SCU bed designation. Using data from the Online Survey Certification and Reporting (OSCAR) from 1996 through 2010 with 207 431 NH-year observations, we described trends and compared chain-affiliated NHs with independent NHs. Designation of beds for Alzheimer disease SCUs grew from 1996 to 2003 and then declined. At the peak, 19.6% of all NHs had at least one Alzheimer disease SCU bed. In general, chain affiliation promoted Alzheimer disease SCU bed designation across time, chain size, and NH profit status. During the period of largest growth from 1996 to 2003, the likelihood of designation of Alzheimer disease SCU beds was 1.55 percentage points higher among for-profit NHs affiliated with large chains than independent for-profit NHs ( P < .001) and remained 1.28 percentage points higher from 2004 to 2010. However, chain-affiliated NHs generally had a lower percentage of residents with dementia than independent NHs. For example, although for-profit NHs affiliated with large chains had more Alzheimer disease SCU beds, they had nearly 3% fewer residents with dementia than independent NHs ( P < .001). We conclude that organizational decisions to designate beds for Alzheimer disease SCUs may be related to marketing strategies to attract residents since adoption of Alzheimer disease SCUs has fluctuated over time, but did not appear driven by demand.Item Impact of Mental Health Parity & Addiction Equity Act on Costs & Utilization in Alabama's Children's Health Insurance Program(Elsevier, 2018) Sen, Bisakha; Blackburn, Justin; Morrisey, Michael A.; Kilgore, Meredith; Menachemi, Nir; Caldwell, Cathy; Becker, David; Health Policy and Management, School of Public HealthObjective: The Mental Health Parity and Addiction Equity Act (MHPAEA) of 2008 mandates equivalent insurance coverage for mental-health (MH) and substance-use disorders (SUD) to other medical and surgical services covered by group insurance plans, Medicaid and Children's Health Insurance Programs (CHIP). We explored the impact of MHPAEA on enrollees in ALL Kids, the Alabama CHIP. Methods: We use All Kids claims data for October 2008-December 2014. October 2008 through September 2009 marks the period prior to MHPAEA implementation. We evaluated changes in MH/SUD related utilization and program costs, and changes in racial/ethnic disparities in the use of MH/SUD services for ALL Kids enrollees, using two-part models. This allowed analyses of changes from no use to any use, as well as in intensity of use. Results: No significant effect is found on overall MH service-use. There are statistically significant increases in for inpatient visits and length of stay, and some increase in overall MH costs. These increases may not be clinically important, and are concentrated in 2009-2011. Disparities in utilization between African-American and non-Hispanic white enrollees are somewhat exacerbated, while disparities between other minorities and non-Hispanic whites are reduced. Conclusions: Findings indicate that MHPAEA led to a 14.3% increase in inpatient visits, a 12.5% increase in length of inpatient stay, and a 7.8% increase in MH costs. The increases appear limited to 2009-2011, suggesting existing pent-up ‘needs’ among enrollees for added MH/SUD services that resulted in a temporary spike in service use and cost immediately after MHPAEA, and which subsequently subsided.Item Community COVID-19 activity level and nursing home staff testing for active SARS-CoV-2 infection in Indiana(Elsevier, 2020) Blackburn, Justin; Weaver, Lindsay; Cohen, Liza; Menachemi, Nir; Rusyniak, Dan; Unroe, Kathleen T.; Health Policy and Management, School of Public HealthObjectives: To assess whether using coronavirus disease 2019 (COVID-19) community activity level can accurately inform strategies for routine testing of facility staff for active severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. Design: Cross-sectional study. Setting and Participants: In total, 59,930 nursing home staff tested for active SARS-CoV-2 infection in Indiana. Measures: Receiver operator characteristic curves and the area under the curve to compare the sensitivity and specificity of identifying positive cases of staff within facilities based on community COVID-19 activity level including county positivity rate and county cases per 10,000. Results: The detection of any infected staff within a facility using county cases per 10,000 population or county positivity rate resulted in an area under the curve of 0.648 (95% confidence interval 0.601‒0.696) and 0.649 (95% confidence interval 0.601‒0.696), respectively. Of staff tested, 28.0% were certified nursing assistants, yet accounted for 36.9% of all staff testing positive. Similarly, licensed practical nurses were 1.4% of staff, but 4.7% of positive cases. Conclusions and Implications: We failed to observe a meaningful threshold of community COVID-19 activity for the purpose of predicting nursing homes with any positive staff. Guidance issued by the Centers for Medicare and Medicaid Services in August 2020 sets the minimum frequency of routine testing for nursing home staff based on county positivity rates. Using the recommended 5% county positivity rate to require weekly testing may miss asymptomatic infections among nursing home staff. Further data on results of all-staff testing efforts, particularly with the implementation of new widespread strategies such as point-of-care testing, is needed to guide policy to protect high-risk nursing home residents and staff. If the goal is to identify all asymptomatic SARS-Cov-2 infected nursing home staff, comprehensive repeat testing may be needed regardless of community level activity.Item Assessing the Quality Measure for Follow-up Care After Children’s Psychiatric Hospitalizations(AAP, 2019-11) Blackburn, Justin; Sharma, Pradeep; Corvey, Kathryn; Morrisey, Michael A.; Menachemi, Nir; Sen, Bisakha; Caldwell, Cathy; Becker, David; Health Policy and Management, School of Public HealthOBJECTIVES: Medicaid and Children’s Health Insurance Program plans publicly report quality measures, including follow-up care after psychiatric hospitalization. We aimed to understand failure to meet this measure, including measurement definitions and enrollee characteristics, while investigating how follow-up affects subsequent psychiatric hospitalizations and emergency department (ED) visits. METHODS: Administrative data representing Alabama’s Children’s Health Insurance Program from 2013 to 2016 were used to identify qualifying psychiatric hospitalizations and follow-up care with a mental health provider within 7 to 30 days of discharge. Using relaxed measure definitions, follow-up care was extended to include visits at 45 to 60 days and visits to a primary care provider. Logit regressions estimated enrollee characteristics associated with follow-up care and, separately, the likelihood of subsequent psychiatric hospitalizations and/or ED visits within 30, 60, and 120 days. RESULTS: We observed 1072 psychiatric hospitalizations during the study period. Of these, 356 (33.2%) received follow-up within 7 days and 566 (52.8%) received it within 30 days. Relaxed measure definitions captured minimal additional follow-up visits. The likelihood of follow-up was lower for both 7 days (−18 percentage points; 95% confidence interval [CI] −26 to −10 percentage points) and 30 days (−26 percentage points; 95% CI −35 to −17 percentage points) regarding hospitalization stays of ≥8 days. Meeting the measure reduced the likelihood of subsequent psychiatric hospitalizations within 60 days by 3 percentage points (95% CI −6 to −1 percentage point). CONCLUSIONS: Among children, receipt of timely follow-up care after a psychiatric hospitalization is low and not sensitive to measurement definitions. Follow-up care may reduce the need for future psychiatric hospitalizations and/or ED visits.Item Reducing the Risk of Hospitalization for Nursing Home Residents: Effects and Facility Variation From OPTIMISTIC(Elsevier, 2020-04) Blackburn, Justin; Stump, Timothy E.; Carnahan, Jennifer L.; Hickman, Susan E.; Tu, Wanzhu; Fowler, Nicole R.; Unroe, Kathleen T.; Health Policy and Management, School of Public HealthObjectives The Optimizing Patient Transfers, Impacting Medical Quality, and Improving Symptoms: Transforming Institutional Care (OPTIMISTIC) project led to significant decreases in potentially avoidable hospitalizations of long-stay nursing facility residents in external evaluation. The purpose of this study was to quantify hospitalization risk from the start of the project and describe the heterogeneity of the enrolled facilities in order to better understand the context for successful implementation. Design Pre-post analysis design of a prospective intervention within a single group. Setting and Participants A total of 4320 residents in the 19 facilities were included from admission until time to the first hospitalization. Measures Data were extracted from Minimum Data Set assessments and linked with facility-level covariates from the LTCFocus.org data set. Kaplan-Meier and Cox proportional hazards regression were used to assess risk of hospitalization during the preintervention period (2011-2012), a “ramp-up” period (2013-2014), and an intervention period (2015-2016). Results The cohort consisted of 4230 long-stay nursing facility residents. Compared with the preintervention period, residents during the intervention period had an increased probability of having no hospitalizations within 1 year, increasing from 0.51 to 0.57, which was statistically significant ( P < .001). In adjusted Cox models, the risk of hospitalization was lower in the ramp-up period compared to the pre-period [hazard ratio (HR) 0.85, 95% confidence interval (CI) 0.75-0.95] and decreased further during the intervention period (HR 0.74, 95% CI 0.65-0.84). Conclusions and Implications As part of a large multisite demonstration project, OPTIMISTIC has successfully reduced hospitalizations. However, this study highlights the magnitude and extent to which results differ across facilities. Implementing the OPTIMISTIC program was associated with a 16% risk reduction after the first 18 months and continued to a final risk reduction of 26% after 5½ years. Although this model of care reduces hospitalizations overall, facility variation should be expected.Item Attitudes and Experiences of Frontline Nursing Home Staff Towards Coronavirus Testing(2020) Hofschulte-Beck, Spencer L.; Hickman, Susan E.; Blackburn, Justin L.; Mack, Laramie M.; Unroe, Kathleen; Medicine, School of MedicineItem Challenges in Translating National and State Reopening Plans Into Local Reopening Policies During the COVID-19 Pandemic(Sage, 2021-03) Vest, Joshua R.; Blackburn, Justin; Yeager, Valerie A.; Health Policy and Management, School of Public HealthPandemic events, such as coronavirus disease 2019 (COVID-19), affect health and economics at national and international scales, but in the United States, health care delivery and public health practice occur at the local level. Transmission control and eventual economic recovery require detailed guidance for communities, cities, metropolitan areas, and states. Our recent experience as consultants on the control and reopening plans for the city of Indianapolis and Marion County, Indiana, illustrated challenges with national plans, highlighted fundamental tensions in identifying the best course for policy, and emphasized gaps in the evidence base and our public health resources.Item Infection Fatality Ratios for COVID-19 Among Noninstitutionalized Persons 12 and Older: Results of a Random-Sample Prevalence Study(ACP, 2021-01) Blackburn, Justin; Yiannoutsos, Constantin T.; Carroll, Aaron E.; Halverson, Paul K.; Menachemi, Nir; Health Policy and Management, School of Public HealthItem Does preventive dental care reduce non-preventive dental visits and expenditures among Medicaid-enrolled adults?(Wiley, 2022) Taylor, Heather L.; Sen, Bisakha; Holmes, Ann M.; Schleyer, Titus; Menachemi, Nir; Blackburn, Justin; Health Policy and Management, School of Public HealthObjective To determine whether preventive dental visits are associated with fewer subsequent non-preventive dental visits and lower dental expenditures. Data Sources Indiana Medicaid enrollment and claims data (2015–2018) and the Area Health Resource File. Study design A repeated measures design with individual and year fixed effects examining the relationship between preventive dental visits (PDVs) and non-preventive dental visits (NPVs) and dental expenditures. Data Collection/Extraction Methods Not applicable. Principal findings Of 28,152 adults (108,349 observation-years) meeting inclusion criteria, 36.0% had any dental visit, 27.8% a PDV, and 22.1% a NPV. Compared to no PDV in the prior year, at least one was associated with fewer NPVs (β = −0.13; 95% CI -0.12, −0.11), lower NPV expenditures (β = −$29.12.53; 95% CI -28.07, −21.05), and lower total dental expenditures (−$70.12; 95% -74.92, −65.31), as well as fewer PDVs (β = −0.24; 95% CI -0.26, −0.23). Conclusions Our findings suggest that prior year PDVs are associated with fewer subsequent NPVs and lower dental expenditures among Medicaid-enrolled adults. Thus, from a public insurance program standpoint, supporting preventive dental care use may translate into improved population oral health outcomes and lower dental costs among certain low-income adult populations, but barriers to consistent utilization of PDV prohibit definitive findings.Item Facility and resident characteristics associated with variation in nursing home transfers: evidence from the OPTIMISTIC demonstration project(BMC, 2021-05-24) Blackburn, Justin; Balio, Casey P.; Carnahan, Jennifer L.; Fowler, Nicole R.; Hickman, Susan E.; Sachs, Greg A.; Tu, Wanzhu; Unroe, Kathleen T.; Health Policy and Management, School of Public HealthBackground: Centers for Medicare and Medicaid Services (CMS) funded demonstration project to evaluate financial incentives for nursing facilities providing care for 6 clinical conditions to reduce potentially avoidable hospitalizations (PAHs). The Optimizing Patient Transfers, Impacting Medical Quality, and Improving Symptoms: Transforming Institutional Care (OPTIMISTIC) site tested payment incentives alone and in combination with the successful nurse-led OPTIMISTIC clinical model. Our objective was to identify facility and resident characteristics associated with transfers, including financial incentives with or without the clinical model. Methods: This was a longitudinal analysis from April 2017 to June 2018 of transfers among nursing home residents in 40 nursing facilities, 17 had the full clinical + payment model (1726 residents) and 23 had payment only model (2142 residents). Using CMS claims data, the Minimum Data Set, and Nursing Home Compare, multilevel logit models estimated the likelihood of all-cause transfers and PAHs (based on CMS claims data and ICD-codes) associated with facility and resident characteristics. Results: The clinical + payment model was associated with 4.1 percentage points (pps) lower risk of all-cause transfers (95% confidence interval [CI] - 6.2 to - 2.1). Characteristics associated with lower PAH risk included residents aged 95+ years (- 2.4 pps; 95% CI - 3.8 to - 1.1), Medicare-Medicaid dual-eligibility (- 2.5 pps; 95% CI - 3.3 to - 1.7), advanced and moderate cognitive impairment (- 3.3 pps; 95% CI - 4.4 to - 2.1; - 1.2 pps; 95% CI - 2.2 to - 0.2). Changes in Health, End-stage disease and Symptoms and Signs (CHESS) score above most stable (CHESS score 4) increased the risk of PAH by 7.3 pps (95% CI 1.5 to 13.1). Conclusions: Multiple resident and facility characteristics are associated with transfers. Facilities with the clinical + payment model demonstrated lower risk of all-cause transfers compared to those with payment only, but not for PAHs.