Estimating state-specific population-based hospitalization rates from in-state hospital discharge data.

OBJECTIVE: To develop weights to estimate state population-based hospitalization rates for all residents of a state using only data from in-state hospitals which exclude residents treated in other states. DATA SOURCES AND STUDY SETTING: Agency for Healthcare Research and Quality, Healthcare Cost and Utilization Project (HCUP), State Inpatient Databases (SID), 2018-2019, 47 states+DC. STUDY DESIGN: We identified characteristics for patients hospitalized in each state differentiating movers (discharges for patients hospitalized outside state of residence) from stayers (discharges for patients hospitalized in state of residence) and created weights based on 2018 data informed by these characteristics. We calculated standard errors using a sampling framework and compared weight-based estimates against complete observed values for 2019. DATA COLLECTION/EXTRACTION METHODS: SID are based on administrative billing records collected by hospitals, shared with statewide data organizations, and provided to HCUP. PRINCIPAL FINDINGS: Of 34,186,766 discharged patients in 2018, 4.2% were movers. A higher share of movers (vs. stayers) lived in state border and rural counties; a lower share had discharges billed to Medicaid or were hospitalized for maternal/neonatal services. The difference between 2019 observed and estimated total discharges for all included states and DC was 9402 (mean absolute percentage error = 0.2%). We overestimated discharges with an expected payer of Medicaid, from the lowest income communities, and for maternal/neonatal care. We underestimated discharges with an expected payer of private insurance, from the highest income communities, and with injury diagnoses and surgical services. Estimates for most subsets were not within a 95% confidence interval, likely due to factors impossible to account for (e.g., hospital closures/openings, shifting consumer preferences). CONCLUSIONS: The weights offer a practical solution for researchers with access to only a single state's data to account for movers when calculating population-based hospitalization rates.

Adverse events among adult Medicaid enrollees with opioid use disorder and co-occurring substance use disorders.

BACKGROUND: It is common for adults with opioid use disorder (OUD) to misuse additional substances, and these individuals may be particularly at risk for adverse events, including mortality. Less is known about how continued receipt of prescription opioids or risk of adverse events (e.g., suicidality, overdose, poisoning) differs for people with co-occurring OUD and additional substance use disorders (SUDs). METHODS: We conducted a retrospective study using IBM® MarketScan® Multi-State Medicaid Database enrollment/claims data. We used logistic regression to measure the association between sample characteristics and our dependent variables. The sample consisted of non-Medicare-eligible adults aged 18-64 years who were continuously enrolled in Medicaid in 2016-2017 with an OUD diagnosis on at least one claim in 2016. RESULTS: Adults with OUD and a co-occurring SUD were more likely than adults with OUD only to have an opioid-related poisoning event (odds ratio [OR] = 1.488, p = .0052), all-cause poisoning (OR = 1.756, p < .0001), or suicidal ideation (OR = 1.796, p < .0001) but not to receive ongoing opioid prescriptions (OR = 0.973, p = .1626). Adverse events varied by OUD-SUD combination. For example, adults with OUD and cocaine use disorder had the highest odds of all-cause (OR = 2.393, p < .0001) or opioid-related (OR = 1.890, p = .0027) poisoning among those with a drug-specific diagnosis and were most likely to be diagnosed with suicidal ideation (OR = 2.465, p < .0001). CONCLUSIONS: This study provides evidence that adults with OUD and a co-occurring additional SUD have increased risk for several adverse events. Multisubstance use should be screened for and identified to determine the most appropriate course of treatment.

Utilization of treatment by Medicaid enrollees with opioid use disorder and co-occurring substance use disorders.

BACKGROUND: Multiple substance use is common among adults who misuse opioids. Adverse consequences of drugs are more severe among multisubstance users than among single drug users. This study sought to determine whether adults with opioid use disorder (OUD) and at least one other substance use disorder (SUD) are less likely than adults with OUD only to receive certain services. METHODS: We conducted a retrospective longitudinal study using the IBM® MarketScan® Multi-State Medicaid Database. We used logistic regression to measure associations between clinical characteristics and service utilization. The sample included non-Medicare-eligible adults aged 18-64 years with at least one claim in 2016 with a primary diagnosis of OUD who were continuously enrolled in Medicaid in 2016 and 2017. RESULTS: Of the 58,745 Medicaid enrollees with an initial OUD diagnosis in 2016, 29,267 had one or more additional SUD diagnoses. In the year following diagnosis, these adults were less likely than adults with OUD only to receive OUD medication treatment (OR = 0.88, p < .0001). This was true for all specifically diagnosed co-occurring SUDS. Adults with OUD and a co-occurring SUD, however, were more likely than those with OUD only to use any type of high-intensity services. CONCLUSIONS: Adults with OUD and at least one co-occurring SUD received more intensive services, which may reflect severity and lack of OUD medication treatment before misuse escalation. Programs should account for barriers to connecting these individuals to appropriate OUD treatment.