Charles Gallia

Community characteristics affecting emergency department use by Medicaid enrollees.

Objectives:In seeking to identify modifiable, system-level factors affecting emergency department (ED) use, we used a statewide Medicaid database to study community variation in ED use and ascertain community characteristics associated with higher use. Methods:This historical cohort study used administrative data from July 1, 2003 to December 31, 2004. Residence ZIP codes were used to assign all 555,219 Medicaid enrollees to 130 primary care service areas (PCSAs). PCSA characteristics studied included rural/urban status, presence of hospital(s), driving time to hospital, and several measures of primary care capacity. Statistical analyses used a 2-stage model. In the first stage (enrollee level), ED utilization rates adjusted for enrollee demographics and medical conditions were calculated for each PCSA. In the second stage (community level), a mixed effects linear model was used to determine the association between PCSA characteristics and ED use. Results:ED utilization rates varied more than 20-fold among the PCSAs. Compared with PCSAs with primary care capacity less than need, PCSAs with capacity 1 to 2 times the need had 0.12 (95% CI: −0.044, −0.20) fewer ED visits/person/yr. Compared with PCSAs with the nearest hospital accessible within 10 minutes, PCSAs with the nearest hospital >30 minutes’ drive had 0.26 (95% CI: −0.38, −0.13) fewer ED visits/person/yr. Conclusions:Within this Medicaid population, ED utilization was determined not only by patient characteristics but by community characteristics. Better understanding of system-level factors affecting ED use can enable communities to improve their health care delivery systems–augmenting access to care and reducing reliance on EDs.

Feasibility of Evaluating the CHIPRA Care Quality Measures in Electronic Health Record Data

The Children’s Health Insurance Program Reauthorization Act of 2009 (CHIPRA) includes provisions for identifying standardized pediatric care quality measures. These 24 “CHIPRA measures” were designed to be evaluated by using claims data from health insurance plan populations. Such data have limited ability to evaluate population health, especially among uninsured people. The rapid expansion of data from electronic health records (EHRs) may help address this limitation by augmenting claims data in care quality assessments. We outline how to operationalize many of the CHIPRA measures for application in EHR data through a case study of a network of >40 outpatient community health centers in 2009–2010 with a single EHR. We assess the differences seen when applying the original claims-based versus adapted EHR-based specifications, using 2 CHIPRA measures (Chlamydia screening among sexually active female patients; BMI percentile documentation) as examples. Sixteen of the original CHIPRA measures could feasibly be evaluated in this dataset. Three main adaptations were necessary (specifying a visit-based population denominator, calculating some pregnancy-related factors by using EHR data, substituting for medication dispense data). Although it is feasible to adapt many of the CHIPRA measures for use in outpatient EHR data, information is gained and lost depending on how numerators and denominators are specified. We suggest first steps toward application of the CHIPRA measures in uninsured populations, and in EHR data. The results highlight the importance of considering the limitations of the original CHIPRA measures in care quality evaluations.

Community Health Center Use After Oregon’s Randomized Medicaid Experiment

PURPOSE There is debate about whether community health centers (CHCs) will experience increased demand from patients gaining coverage through Affordable Care Act Medicaid expansions. To better understand the effect of new Medicaid coverage on CHC use over time, we studied Oregon’s 2008 randomized Medicaid expansion (the “Oregon Experiment”). METHODS We probabilistically matched demographic data from adults (aged 19–64 years) participating in the Oregon Experiment to electronic health record data from 108 Oregon CHCs within the OCHIN community health information network (originally the Oregon Community Health Information Network) (N = 34,849). We performed intent-to-treat analyses using zero-inflated Poisson regression models to compare 36-month (2008–2011) usage rates among those selected to apply for Medicaid vs not selected, and instrumental variable analyses to estimate the effect of gaining Medicaid coverage on use. Use outcomes included primary care visits, behavioral/mental health visits, laboratory tests, referrals, immunizations, and imaging. RESULTS The intent-to-treat analyses revealed statistically significant differences in rates of behavioral/mental health visits, referrals, and imaging between patients randomly selected to apply for Medicaid vs those not selected. In instrumental variable analyses, gaining Medicaid coverage significantly increased the rate of primary care visits, laboratory tests, referrals, and imaging; rate ratios ranged from 1.27 (95% CI, 1.05–1.55) for laboratory tests to 1.58 (95% CI, 1.10–2.28) for referrals. CONCLUSIONS Our results suggest that use of many different types of CHC services will increase as patients gain Medicaid through Affordable Care Act expansions. To maximize access to critical health services, it will be important to ensure that the health care system can support increasing demands by providing more resources to CHCs and other primary care settings.

Variation in Outcomes of Quality Measurement by Data Source

OBJECTIVE: To evaluate selected Children’s Health Insurance Program Reauthorization Act claims-based quality measures using claims data alone, electronic health record (EHR) data alone, and both data sources combined. METHODS: Our population included pediatric patients from 46 clinics in the OCHIN network of community health centers, who were continuously enrolled in Oregon’s public health insurance program during 2010. Within this population, we calculated selected pediatric care quality measures according to the Children’s Health Insurance Program Reauthorization Act technical specifications within administrative claims. We then calculated these measures in the same cohort, by using EHR data, by using the technical specifications plus clinical data previously shown to enhance capture of a given measure. We used the κ statistic to determine agreement in measurement when using claims versus EHR data. Finally, we measured quality of care delivered to the study population, when using a combined dataset of linked, patient-level administrative claims and EHR data. RESULTS: When using administrative claims data, 1.0% of children (aged 3–17) had a BMI percentile recorded, compared with 71.9% based on the EHR data (κ agreement [k] ≤ 0.01), and 72.0% in the combined dataset. Among children turning 2 in 2010, 20.2% received all recommended immunizations according to the administrative claims data, 17.2% according to the EHR data (k = 0.82), and 21.4% according to the combined dataset. CONCLUSIONS: Children’s care quality measures may not be accurate when assessed using only administrative claims. Adding EHR data to administrative claims data may yield more complete measurement.

Health Care Utilization Rates After Oregon's 2008 Medicaid Expansion: Within-Group and Between-Group Differences Over Time Among New, Returning, and Continuously Insured Enrollees.

Background:Although past research demonstrated that Medicaid expansions were associated with increased emergency department (ED) and primary care (PC) utilization, little is known about how long this increased utilization persists or whether postcoverage utilization is affected by prior insurance status. Objectives:(1) To assess changes in ED, PC, mental and behavioral health care, and specialist care visit rates among individuals gaining Medicaid over 24 months postinsurance gain; and (2) to evaluate the association of previous insurance with utilization. Methods:Using claims data, we conducted a retrospective cohort analysis of adults insured for 24 months following Oregon’s 2008 Medicaid expansion. Utilization rates among 1124 new and 1587 returning enrollees were compared with those among 5126 enrollees with continuous Medicaid coverage (≥1 y preexpansion). Visit rates were adjusted for propensity score classes and geographic region. Results:PC visit rates in both newly and returning insured individuals significantly exceeded those in the continuously insured in months 4 through 12, but were not significantly elevated in the second year. In contrast, ED utilization rates were significantly higher in returning insured compared with newly or continuously insured individuals and remained elevated over time. New visits to PC and specialist care were higher among those who gained Medicaid compared with the continuously insured throughout the study period. Conclusions:Predicting the effect of insurance expansion on health care utilization should account for the prior coverage history of new enrollees. In addition, utilization of outpatient services changes with time after insurance, so expansion evaluations should allow for rate stabilization.

Effect of Eliminating Behavioral Health Benefits for Selected Medicaid Enrollees

OBJECTIVE To determine the extent to which the elimination of behavioral health benefits for selected beneficiaries of Oregons Medicaid program affected general medical expenditures among enrollees using outpatient mental health and substance abuse treatment services. DATA SOURCE/STUDY SETTING Twelve months of claims before and 12 months following a 2003 policy change, which included the elimination of the behavioral health benefit for selected Oregon Medicaid enrollees. STUDY DESIGN We use a difference-in-differences approach to estimate the change in general medical expenditures following the 2003 policy change. We compare two methodological approaches: regression with propensity score weighting; and one-to-one covariate matching. PRINCIPAL FINDINGS Enrollees who had accessed the substance abuse treatment benefit demonstrated substantial and statistically significant increases in expenditures. Individuals who accessed the outpatient mental health benefit demonstrated a decrease or no change in expenditures, depending on model specification. CONCLUSIONS Elimination of the substance abuse benefit led to increased medical expenditures, although this offset was still smaller than the total cost of the benefit. In contrast, individuals who accessed the outpatient mental health benefit did not exhibit a similar increase, although these individuals did not include a portion of the Medicaid population with severe mental illnesses.

Benefit Policy and Disenrollment of Adult Medicaid Beneficiaries from the Oregon Health Plan

Oregons Medicaid program experienced a dramatic decrease in its non-categorically eligible adult members after implementing a new benefit policy in February 2003 for these beneficiaries. The policy included four main elements: premium increases for some enrollees; a more stringent premium payment policy; elimination of some benefits, including mental health and substance abuse treatment; and, the imposition of co-payments. The study compared monthly disenrollment rates eight months before and after the policy change. The new premium payment policy was found to be the main driver of disenrollment, followed by benefit elimination. Premium increases and co-payments had limited impact. Disenrollment was particularly high among vulnerable beneficiary groups, including people with no reported income, those previously obtaining premium waivers, methadone users, and other enrollees with substance abuse conditions. Better understanding of the relationship between benefit design and retention in public health insurance programs could help avoid the unintended policy effects experienced in Oregon.

IMPACCT Kids' Care: a real-world example of stakeholder involvement in comparative effectiveness research.

The Patient-Centered Outcomes Research Institute has accelerated conversations about the importance of actively engaging stakeholders in all aspects of comparative effectiveness research (CER). Other scientific disciplines have a history of stakeholder engagement, yet few empirical examples exist of how these stakeholders can inform and enrich CER. Here we present a case study which includes the methods used to engage stakeholders, what we learned from them, and how we incorporated their ideas in a CER project. We selected stakeholders from key groups, built relationships with them and collected their feedback through interviews, observation and ongoing meetings during the four research process phases: proposal development, adapting study methods, understanding the context and information technology tool design and refinement.

The Association Between Medicaid Coverage for Children and Parents Persists: 2002-2010

To assess the association between a child’s and their parent’s public health insurance status during a time when children had access to coverage independent of policies that impacted adults’ access. Secondary data from the Oregon Health Plan (OHP) [Oregon’s Medicaid and Children’s Health Insurance Programs] for families with at least one parent and one child with OHP coverage at any time during the study period (2002–2010). We linked children to their parents in the OHP data set and examined longitudinal associations between the coverage patterns for children and their parents, controlling for several demographic and economic confounders. We tested for differences in the strength of associations in monthly coverage status in five time periods throughout the nine-year study period. The odds of a child being insured by the OHP in months in which at least one parent had OHP coverage were significantly higher than among children whose parents were not enrolled at that time. Children with at least one parent who maintained or gained OHP coverage in a given month had a much higher probability of being enrolled in the OHP in that month, compared to children who had no covered parents in the given month or the month prior. Despite implementation of policies that differentially affected eligibility requirements for children and adults, strong associations persisted between coverage continuity for parents and children enrolled in Oregon public health insurance programs.

Rural Clinician Evaluation of Children's Health Care Quality Measures: An Oregon Rural Practice-based Research Network (ORPRN) Study

Background: Responding to quality metrics is an accepted and expected component of the current health care environment. Little is known about which measures physicians identify as a priority when reporting the quality of care to their patients, especially the care of children in rural settings. The objective of this study is for physicians caring for children in rural communities to identify which of the initial core sets of 24 child health quality measures are useful and are a priority for reporting and improving care. Methods: A survey was sent to rural Oregon physicians who provide care to children. Results: Of 955 eligible physicians, 172 (18%) completed the survey. The majority of respondents were family physicians (84%), and most respondents (58%) were in private practice. The child health measures stratified into 3 priority tiers: high, medium, and low priority. The top-tier priority measures included childhood immunization status, well-child visits, adolescent immunization status, body mass index assessment, and developmental screening. Dental treatment services, adequate prenatal care, and lower-birth-weight infants were among the lower-tier measures. Conclusions: The priority measures identified by rural family physicians reflect the relevance of the selected measures to their daily practice responsibilities, with missed opportunities to improve community health.