Access to Medications for Opioid Use Disorder in Rural Versus Urban Veterans Health Administration Facilities.

BACKGROUND: For patients with opioid use disorder (OUD), medications for OUD (MOUD) reduce morbidity, mortality, and return to use. Nevertheless, a minority of patients receive MOUD, and underutilization is pronounced among rural patients. OBJECTIVE: While Veterans Health Administration (VHA) initiatives have improved MOUD access overall, it is unknown whether access has improved in rural VA health systems specifically. How "Community Care," healthcare paid for by VHA but received from non-VA providers, has affected rural access is also unknown. DESIGN: Data for this observational study were drawn from the VHA Corporate Data Warehouse. Facility rurality was defined by rural-urban commuting area code of the primary medical center. International Classification of Diseases codes identified patients with OUD within each year, 2015-2020. We included MOUD (buprenorphine, methadone, extended-release naltrexone) received from VHA or paid for by VHA but received at non-VA facilities through Community Care. We calculated average yearly MOUD receipt; linear regression of outcomes on study years identified trends; an interaction between year and rural status evaluated trend differences over time. PARTICIPANTS: All 129 VHA Health Systems, a designation that encompasses one or more medical centers and their affiliated community-based outpatient clinics MAIN MEASURES: The average proportion of patients diagnosed with OUD that receive MOUD within rural versus urban VHA health care systems. KEY RESULTS: From 2015 to 2020, MOUD access increased substantially: the average proportion of patients receiving MOUD increased from 34.6 to 48.9%, with a similar proportion of patients treated with MOUD in rural and urban systems in all years. Overall, a small proportion (1.8%) of MOUD was provided via Community Care, and Community Care did not disproportionately benefit rural health systems. CONCLUSIONS: Strategies utilized by VHA could inform other health care systems seeking to ensure that, regardless of geographic location, all patients are able to access MOUD.

How Type of Practice Ownership Affects Participation with Quality Improvement External Facilitation: Findings from EvidenceNOW.

BACKGROUND: Facilitation is an implementation strategy that can help primary care practices improve healthcare quality and build quality improvement (QI) capacity when delivered in a flexible manner by trained professionals. Practice ownership is associated with use of QI. However, little is known about how practices of different ownership participate in external facilitation, and this could inform future initiatives. OBJECTIVE: Using data from EvidenceNOW, we examined how practice ownership influences participation in external facilitation. STUDY DESIGN: We used an iterative mixed-methods design. PARTICIPANTS, APPROACH, AND MEASURES: We collected data from practices on practice characteristics (e.g., location, size, payer mix) and ownership type via surveys and from facilitators on the number of hours, encounters, and months each practice had with a facilitator via facilitation logs. Using multivariable linear regression, we examined the association between facilitation and ownership (n = 1117 practices). We conducted semi-structured interviews with EvidenceNOW leadership (n = 12) and facilitators (n = 51) and observed facilitators in a subset of practices (n = 64); we analyzed this qualitative data for patterns of facilitation. KEY RESULTS: In the fully adjusted model, differences by ownership were non-significant; FQHCs, however, had significantly less participation in facilitation than clinician-owned practices across two measures (unadjusted difference: - 2.83, p < 0.01 for number of encounters, and - 2.04, p < 0.01 for number of months with encounters). Qualitative data showed that Health System and FQHC ownership influenced types of practices enrolled in EvidenceNOW, and suggested that in these practices lower autonomy and greater complexity compared to clinician-owned ownership influenced facilitation participation patterns. CONCLUSIONS: Practice ownership shaped how but not how much practices participated in external facilitation. This finding highlights the importance of tailoring facilitation approaches based on ownership-related characteristics in future QI initiatives.

Considerations Before Selecting a Stepped-Wedge Cluster Randomized Trial Design for a Practice Improvement Study.

PURPOSE: Despite the growing popularity of stepped-wedge cluster randomized trials (SW-CRTs) for practice-based research, the design's advantages and challenges are not well documented. The objective of this study was to identify the advantages and challenges of the SW-CRT design for large-scale intervention implementations in primary care settings. METHODS: The EvidenceNOW: Advancing Heart Health initiative, funded by the Agency for Healthcare Research and Quality, included a large collection of SW-CRTs. We conducted qualitative interviews with 17 key informants from EvidenceNOW grantees to identify the advantages and challenges of using SW-CRT design. RESULTS: All interviewees reported that SW-CRT can be an effective study design for large-scale intervention implementations. Advantages included (1) incentivized recruitment, (2) staggered resource allocation, and (3) statistical power. Challenges included (1) time-sensitive recruitment, (2) retention, (3) randomization requirements and practice preferences, (4) achieving treatment schedule fidelity, (5) intensive data collection, (6) the Hawthorne effect, and (7) temporal trends. CONCLUSIONS: The challenges experienced by EvidenceNOW grantees suggest that certain favorable real-world conditions constitute a context that increases the odds of a successful SW-CRT. An existing infrastructure can support the recruitment of many practices. Strong retention plans are needed to continue to engage sites waiting to start the intervention. Finally, study outcomes should be ones already captured in routine practice; otherwise, funders and investigators should assess the feasibility and cost of data collection.VISUAL ABSTRACT.

Decomposing Medicaid Spending During Health System Reform and ACA Expansion: Evidence From Oregon.

BACKGROUND: Expansion of the Medicaid program is likely to create new budgetary pressures at the state and federal levels, creating a need for greater understanding of how program dollars are allocated and what drives spending growth. OBJECTIVE: To characterize Oregon Medicaid expenditures across diseases and medical conditions, during periods of payment reform and coverage expansion. RESEARCH DESIGN: Decomposition of changes in Medicaid expenditures using a person-based allocation of spending across 50 diseases/medical conditions. Four indices describe changes in costs per enrolled member, demographic shifts, prevalence of treated disease/condition, and costs per treated member. SUBJECTS: Oregon Medicaid beneficiaries during 2011 (N=597,422), 2013 (N=614,858), and 2014 (N=978,237). RESULTS: Expenditures on pregnancy/birth and mental conditions accounted for 24% of 2011 spending. Oregon's 2012 payment reform was associated with reduced spending attributable primarily to decreased prevalence of treated conditions. The 2014 Medicaid expansion was marked by lower pregnancy and mental health expenditures and higher spending on treatment for substance use and heart disease. CONCLUSIONS: Medicaid spending is concentrated among a small group of medical conditions, not all of which are typically associated with the program. The relative expenditure burdens for some conditions are likely to change with health system reform and enrollment expansions. Decomposition into 4 indices and reporting by disease/condition elucidate variability in drivers of cost growth.

Oregon Medicaid Expenditures After the 2014 Affordable Care Act Medicaid Expansion: Over-time Differences Among New, Returning, and Continuously Insured Enrollees.

BACKGROUND: There is interest in assessing health care utilization and expenditures among new Medicaid enrollees after the 2014 Medicaid expansion. Recent studies have not differentiated between newly enrolled individuals and those returning after coverage gaps. OBJECTIVES: To assess health care expenditures among Medicaid enrollees in the 24 months after Oregon's 2014 Medicaid expansions and examine whether expenditure patterns were different among the newly, returning, and continuously insured (CI). RESEARCH DESIGN: Retrospective cohort study using inverse-propensity weights to adjust for differences between groups. SUBJECTS: Oregon adult Medicaid beneficiaries insured continuously from 2014 to 2015 who were either newly, returning, or CI. MEASURES: Monthly expenditures for inpatient care, prescription drugs, total outpatient care, and subdivisions of outpatient care: emergency department, dental, mental and behavioral health, primary care, and specialist care. RESULTS: After initial increases, newly and returning insured (RI) outpatient expenditures dropped below CI. Expenditures for emergency department and dental services among the RI remained higher than among the newly insured. Newly insured mental and behavioral health, primary care, and specialist expenditures plateaued higher than RI. Prescription drug expenditures increased over time for all groups, with CI highest and RI lowest. All groups had similar inpatient expenditures over 24 months post-Medicaid expansion. CONCLUSIONS: Our findings reveal that outpatient expenditures for new nonpregnant, non-dual-eligible Oregon Medicaid recipients stabilized over time after meeting pent-up demand, and prior insurance history affected the mix of services that individuals received. Policy evaluations should consider expenditures over at least 24 months and should account for enrollees' prior insurance histories.

Use of Quality Improvement Strategies Among Small to Medium-Size US Primary Care Practices.

PURPOSE: Improving primary care quality is a national priority, but little is known about the extent to which small to medium-size practices use quality improvement (QI) strategies to improve care. We examined variations in use of QI strategies among 1,181 small to medium-size primary care practices engaged in a national initiative spanning 12 US states to improve quality of care for heart health and assessed factors associated with those variations. METHODS: In this cross-sectional study, practice characteristics were assessed by surveying practice leaders. Practice use of QI strategies was measured by the validated Change Process Capability Questionnaire (CPCQ) Strategies Scale (scores range from -28 to 28, with higher scores indicating more use of QI strategies). Multivariable linear regression was used to examine the association between practice characteristics and the CPCQ strategies score. RESULTS: The mean CPCQ strategies score was 9.1 (SD = 12.2). Practices that participated in accountable care organizations and those that had someone in the practice to configure clinical quality reports from electronic health records (EHRs), had produced quality reports, or had discussed clinical quality data during meetings had higher CPCQ strategies scores. Health system-owned practices and those experiencing major disruptive changes, such as implementing a new EHR system or clinician turnover, had lower CPCQ strategies scores. CONCLUSION: There is substantial variation in the use of QI strategies among small to medium-size primary care practices across 12 US states. Findings suggest that practices may need external support to strengthen their ability to do QI and to be prepared for new payment and delivery models.

Addiction severity and re-employment in Sweden among adults with risky alcohol and drug use.

BACKGROUND: The Addiction Severity Index (ASI) assesses respondents' biopsychosocial problems in seven addiction-related domains (mental health, family and social relations, employment, alcohol use, drug use, physical health, and legal problems). This study examined the association between the seven ASI composite scores and re-employment in a sample of Swedish adults screened for risky alcohol and drug use who were without employment at assessment. METHODS: We conducted a retrospective cohort analysis of employment outcomes among 6502 unemployed adults living in Sweden who completed an ASI assessment for risky alcohol and drug use. The study linked ASI scores to annual tax register data. The primary outcome was employment, defined as having earnings above an administrative threshold. We used Cox proportional hazard models to estimate the association between time to re-employment and ASI composite scores, controlling for demographic characteristics, RESULTS: Approximately three in ten individuals in the sample regained employment within five years. ASI composite scores suggested widespread biopsychosocial problems. Re-employment was associated with lower ASI composite scores for mental health (estimate: 0.775, 95 % confidence interval: 0.629-0.956), employment (estimate: 0.669, confidence interval: 0.532-0.841), drug use (estimate: 0.628, confidence interval: 0.428-0.924), and health (estimate: 0.798, confidence interval: 0.699-0.912). CONCLUSIONS: This study suggests that several ASI domains may provide information on the complex factors (i.e., mental health, health, drug use) associated with long-term unemployment for people with risky substance use.

State- and County-Level Geographic Variation in Opioid Use Disorder, Medication Treatment, and Opioid-Related Overdose Among Medicaid Enrollees.

Importance: The opioid crisis disproportionately affects Medicaid enrollees, yet little systematic evidence exists regarding how prevalence of and health care utilization for opioid use disorder (OUD) vary across geographical areas. Objectives: To characterize state- and county-level variation in claims-based prevalence of OUD and rates of medication treatment for OUD and OUD-related nonfatal overdose among Medicaid enrollees. Design, Setting, and Participants: This cross-sectional study used data from the Transformed Medicaid Statistical Information System Analytic Files from January 1, 2016, to December 31, 2018. Participants were Medicaid enrollees with or without OUD in 46 states; Washington, DC; and Puerto Rico who were aged 18 to 64 years and not dually enrolled in Medicare. The analysis was conducted between September 2022 and April 2023. Exposure: Calendar-year OUD prevalence. Main Outcomes and Measures: The main outcomes were claims-based measures of OUD prevalence and rates of medication treatment for OUD and opioid-related nonfatal overdose. Individual records were aggregated at the state and county level, and variation was assessed within and across states. Results: Of the 76 390 817 Medicaid enrollee-year observations included in our study (mean [SD] enrollee age, 36.5 [1.6] years; 59.0% female), 2 280 272 (3.0%) had a claims-based OUD (mean [SD] age, 38.9 [3.6] years; 51.4% female). Of enrollees with OUD, 41.2% were eligible due to Medicaid expansion, 46.4% had other substance use disorders, 55.8% had mental health conditions, 55.2% had claims indicating some form of OUD medication, and 5.8% had claims indicating an overdose during a calendar year. Claims-based outcomes exhibited substantial variation across states: OUD prevalence ranged from 0.6% in Arkansas and Puerto Rico to 9.7% in Maryland, rates of OUD medication treatment ranged from 17.7% in Kansas to 82.8% in Maine, and rates of overdose ranged from 0.3% in Mississippi to 10.5% in Illinois. Pronounced variation was also found within states (eg, OUD prevalence in Maryland ranged from 2.2% in Prince George's County to 21.6% in Cecil County). Conclusions and Relevance: In this cross-sectional study of Medicaid enrollees from 2016 to 2018, claims-based prevalence of OUD and rates of OUD medication treatment and opioid-related overdose varied substantially across and within states. Further research appears to be needed to identify important factors influencing this variation.

The effects of behavioral health integration in Medicaid managed care on access to mental health and primary care services-Evidence from early adopters.

OBJECTIVE: To evaluate the impacts of a transition to an "integrated managed care" model, wherein Medicaid managed care organizations moved from a "carve-out" model to a "carve-in" model integrating the financing of behavioral and physical health care. DATA SOURCES/STUDY SETTING: Medicaid claims data from Washington State, 2014-2019, supplemented with structured interviews with key stakeholders. STUDY DESIGN: This mixed-methods study used difference-in-differences models to compare changes in two counties that transitioned to financial integration in 2016 to 10 comparison counties maintaining carve-out models, combined with qualitative analyses of 15 key informant interviews. Quantitative outcomes included binary measures of access to outpatient mental health care, primary care, the emergency department (ED), and inpatient care for mental health conditions. DATA COLLECTION: Medicaid claims were collected administratively, and interviews were recorded, transcribed, and analyzed using a thematic analysis approach. PRINCIPAL FINDINGS: The transition to financially integrated care was initially disruptive for behavioral health providers and was associated with a temporary decline in access to outpatient mental health services among enrollees with serious mental illness (SMI), but there were no statistically significant or sustained differences after the first year. Enrollees with SMI also experienced a slight increase in access to primary care (1.8%, 95% CI 1.0%-2.6%), but no sustained statistically significant changes in the use of ED or inpatient services for mental health care. The transition to financially integrated care had relatively little impact on primary care providers, with few changes for enrollees with mild, moderate, or no mental illness. CONCLUSIONS: Financial integration of behavioral and physical health in Medicaid managed care did not appear to drive clinical transformation and was disruptive to behavioral health providers. States moving towards "carve-in" models may need to incorporate support for practice transformation or financial incentives to achieve the benefits of coordinated mental and physical health care.

Estimating the Cardiovascular Disease Risk Reduction of a Quality Improvement Initiative in Primary Care: Findings from EvidenceNOW.

BACKGROUND: This study estimates reductions in 10-year atherosclerotic cardiovascular disease (ASCVD) risk associated with EvidenceNOW, a multi-state initiative that sought to improve cardiovascular preventive care in the form of (A)spirin prescribing for high-risk patients, (B)lood pressure control for people with hypertension, (C)holesterol management, and (S)moking screening and cessation counseling (ABCS) among small primary care practices by providing supportive interventions such as practice facilitation. DESIGN: We conducted an analytic modeling study that combined (1) data from 1,278 EvidenceNOW practices collected 2015 to 2017; (2) patient-level information of individuals ages 40 to 79 years who participated in the 2015 to 2016 National Health and Nutrition Examination Survey (n = 1,295); and (3) 10-year ASCVD risk prediction equations. MEASURES: The primary outcome measure was 10-year ASCVD risk. RESULTS: EvidenceNOW practices cared for an estimated 4 million patients ages 40 to 79 who might benefit from ABCS interventions. The average 10-year ASCVD risk of these patients before intervention was 10.11%. Improvements in ABCS due to EvidenceNOW reduced their 10-year ASCVD risk to 10.03% (absolute risk reduction: -0.08, P ≤ .001). This risk reduction would prevent 3,169 ASCVD events over 10 years and avoid $150 million in 90-day direct medical costs. CONCLUSION: Small preventive care improvements and associated reductions in absolute ASCVD risk levels can lead to meaningful life-saving benefits at the population level.

Access, Utilization, and Quality of Behavioral Health Integration in Medicaid Managed Care.

Importance: Many states have moved from models that carve out to those that carve in or integrate behavioral health in their Medicaid managed care organizations (MCOs), but little evidence exists about the effect of this change. Objective: To assess the association of the transition to integrated managed care (IMC) in Washington Medicaid with health services use, quality, health-related outcomes, and measures associated with social determinants of health. Design, Setting, and Participants: This cohort study used difference-in-differences analyses of Washington State's 2014 to 2019 staggered rollout of IMC on claims-based measures for enrollees in Washington's Medicaid MCO. It was supplemented with interviews of 24 behavioral health agency leaders, managed care administrators, and individuals who were participating in the IMC transition. The data were analyzed between February 1, 2023, and September 30, 2023. Main Outcomes and Measures: Claims-based measures of utilization (including specialty mental health visits and primary care visits); health-related outcomes (including self-harm events); rates of arrests, employment, and homelessness; and additional quality measures. Results: This cohort study included 1 454 185 individuals ages 13 to 64 years (743 668 female [51.1%]; 14 306 American Indian and Alaska Native [1.0%], 132 804 Asian American and Pacific Islander [9.1%], 112 442 Black [7.7%], 258 389 Hispanic [17.8%], and 810 304 White [55.7%] individuals). Financial integration was not associated with changes in claims-based measures of utilization and quality. Most claims-based measures of outcomes were also unchanged, although enrollees with mild or moderate mental illness experienced a slight decrease in cardiac events (-0.8%; 95% CI, -1.4 to -0.2), while enrollees with serious mental illness experienced small decreases in employment (-1.2%; 95% CI -1.9 to -0.5) and small increases in arrests (0.5%; 95% CI, 0.1 to 1.0). Interviews with key informants suggested that financial integration was perceived as an administrative change and did not have substantial implications for how practices delivered care; behavioral health agencies lacked guidance on how to integrate care in behavioral health settings and struggled with new contracts and regulatory policies that may have inhibited the ability to provide integrated care. Conclusions and Relevance: The results of this cohort study suggest that financial integration at the MCO level was not associated with significant changes in most measures of utilization, quality, outcomes, and social determinants of health. Additional support, including monitoring, training, and funding, may be necessary to drive delivery system changes to improve access, quality, and outcomes.

Patients' Willingness to Accept Social Needs Navigation After In-Person versus Remote Screening.

BACKGROUND: Social needs screening and referral interventions are increasingly common in health care settings. Although remote screening offers a potentially more practical alternative to traditional in-person screening, there is concern that screening patients remotely could adversely affect patient engagement, including interest in accepting social needs navigation. METHODS: We conducted a cross-sectional study using a multivariable logistic regression analysis and data from the Accountable Health Communities (AHC) model in Oregon. Participants were Medicare and Medicaid beneficiaries in the AHC model from October 2018 through December 2020. The outcome variable was patients' willingness to accept social needs navigation assistance. We included an interaction term (total number of social needs + screening mode) to test whether in-person versus remote screening was an effect modifier. RESULTS: The study included participants who screened positive for ≥1 social need(s); 43% were screened in person and 57% remotely. Overall, 71% of participants were willing to accept help with social needs. Neither screening mode nor interaction term were significantly associated with willingness to accept navigation assistance. CONCLUSIONS: Among patients presenting with similar numbers of social needs, results indicate that type of screening mode may not adversely affect patients' willingness to accept health care-based navigation for social needs.

Improving Delivery of Cardiovascular Disease Preventive Services in Small-to-Medium Primary Care Practices.

BACKGROUND: The EvidenceNOW initiative provided smaller primary care practices with external support interventions to implement quality improvement strategies focused on cardiovascular disease prevention. This manuscript reports effectiveness of EvidenceNOW interventions in improving quality metrics. METHODS: Seven regional Cooperatives delivered external support interventions (practice facilitation, health information technology support to assist with audit and feedback, performance benchmarking, learning collaboratives, and establishing community linkages) to 1278 smaller primary care practices. Outcomes included proportion of eligible patients meeting Centers for Medicaid and Medicare Services-specified ABCS metrics, that is, Aspirin for those at risk of ischemic vascular disease; achieving target Blood pressure among hypertensives; prescribing statin for those with elevated Cholesterol, diabetes, or increased cardiovascular disease risk; and screening for Smoking and providing cessation counseling. An event study compared prepost changes in outcomes among intervention practices and a difference-in-differences design compared intervention practices to 688 external comparison practices. RESULTS: Mean baseline outcomes ranged from 61.5% (cholesterol) to 64.9% (aspirin). In the event study, outcomes improved significantly (aspirin: +3.39 percentage points, 95% CI, 0.61-6.17; blood pressure: +1.59, 95% CI, 0.12-3.06; cholesterol: +4.43, 95% CI, 0.33-8.53; smoking: +7.33, 95% CI, 4.70-9.96). Difference-in-differences estimates were similar in magnitude but statistically significant for smoking alone. Preintervention trends were significant for smoking, but parallel-trends tests were not significant. CONCLUSIONS: EvidenceNOW Cooperatives improved cardiovascular prevention quality metrics among small and medium sized primary care practices across the US. While estimated improvements were small, they reflected average changes across a large and diverse sample of practices.

Cardiovascular Disease Preventive Services Among Smaller Primary Care Practices.

INTRODUCTION: Cardiovascular disease preventive services (aspirin use, blood pressure control, and smoking-cessation support) are crucial to controlling cardiovascular diseases. This study draws from 1,248 small-to-medium-sized primary care practices participating in the EvidenceNOW Initiative from 2015-2016 across 12 states to provide practice-level aspirin use, blood pressure control, and smoking-cessation support estimates; report the percentage of practices that meet Million Hearts targets; and identify the practice characteristics associated with better performance. METHODS: This cross-sectional study utilized linear regression modeling (analyzed in 2020-2021) to examine the association of aspirin use, blood pressure control, and smoking-cessation support performance with practice characteristics that included structural attributes (e.g., size, ownership, rurality), practice capacity and contextual characteristics, health information technology, and patient panel demographics. RESULTS: On average, practice performance on aspirin use, blood pressure control, and smoking-cessation support quality measures was 64% for aspirin, 63% for blood pressure, and 62% for smoking-cessation support. The 2012 Million Hearts goal of achieving the rates of 70% was achieved by 52% (aspirin), 32% (blood pressure), and 54% (smoking) of practices. Practice characteristics associated with aspirin use, blood pressure control, and smoking-cessation support performance included ownership (hospital/health system-owned practices had 11% higher aspirin performance than clinician-owned practices [p=0.001]), rurality (rural practices had lower performance than urban practices in all aspirin use, blood pressure control, and smoking-cessation support quality metrics [difference in aspirin=11.1%, p=0.001; blood pressure=4.2%, p=0.022; smoking=14.4%, p=0.009]), and disruptions (practices that experienced >1 major disruption showed lower aspirin performance [-7.1%, p<0.001]). CONCLUSIONS: Achieving the Million Hearts targets may be assisted by collecting and reporting practice-level performance, which can promote change at the practice level and identify areas where additional support is needed to achieve initiative goals.

Time trends in emergency department use among adults with intellectual and developmental disabilities.

BACKGROUND: Emergency Department (ED) visits are common among adults with intellectual and developmental disabilities (IDD). However, little is known about how ED use has varied over time in this population, or how it has been affected by recent Medicaid policy changes. OBJECTIVE: To examine temporal trends in ED use among adult Medicaid members with IDD in eight states that ranged in the extent to which they had implemented state-level Medicaid policy changes that might affect ED use. METHODS: We conducted repeated cross-sectional analyses of 2010-2016 Medicaid claims data. Quarterly analyses included adults ages 18-64 years with IDD (identified by diagnosis codes) who were continuously enrolled in Medicaid for the past 12 months. We assessed change in number of ED visits per 1000 member months from 2010 to 2016 overall and interacted with state level policy changes such as Medicaid expansion. RESULTS: States with no Medicaid expansion experienced an increase in ED visits (linear trend coefficient: 1.13, p < 0.01), while states operating expansion via waiver had a much smaller (non-significant) increase, and states with ACA-governed expansion had a decrease in ED visits (linear trend coefficient: 1.17, p < 0.01). Other policy changes had limited or no association with ED visits. CONCLUSIONS: Medicaid expansion was associated with modest reduction or limited increase in ED visits compared to no expansion. We found no consistent decrease in ED visits in association with other Medicaid policy changes.

"It Made Me Feel like Things Are Starting to Change in Society:" A Qualitative Study to Foster Positive Patient Experiences during Phone-Based Social Needs Interventions.

Many healthcare organizations are screening patients for health-related social needs (HRSN) to improve healthcare quality and outcomes. Due to both the COVID-19 pandemic and limited time during clinical visits, much of this screening is now happening by phone. To promote healing and avoid harm, it is vital to understand patient experiences and recommendations regarding these activities. We conducted a pragmatic qualitative study with patients who had participated in a HRSN intervention. We applied maximum variation sampling, completed recruitment and interviews by phone, and carried out an inductive reflexive thematic analysis. From August to November 2021 we interviewed 34 patients, developed 6 themes, and used these themes to create a framework for generating positive patient experiences during phone-based HRSN interventions. First, we found patients were likely to have initial skepticism or reservations about the intervention. Second, we identified 4 positive intervention components regarding patient experience: transparency and respect for patient autonomy; kind demeanor; genuine intention to help; and attentiveness and responsiveness to patients' situations. Finally, we found patients could be left with feelings of appreciation or hope, regardless of whether they connected with HRSN resources. Healthcare organizations can incorporate our framework into trainings for team members carrying out phone-based HRSN interventions.

How Does Prior Experience Pay Off in Large-Scale Quality Improvement Initiatives?

INTRODUCTION: To examine the association of prior investment on the effectiveness of organizations delivering large-scale external support to improve primary care. METHODS: Mixed-methods study of 7 EvidenceNOW grantees (henceforth, Cooperatives) and their recruited practices (n = 1720). Independent Variable: Cooperatives's experience level prior to EvidenceNOW, defined as a sustained track record in delivering large-scale quality improvement (QI) to primary care practices (high, medium, or low). Dependent Variables: Implementation of external support, measured as facilitation dose; effectiveness at improving (1) clinical quality, measured as practices' performance on Aspirin, Blood Pressure, Cholesterol, and Smoking (ABCS); and (2) practice capacity, measured using the Adaptive Reserve (AR) score and Change Process Capacity Questionnaire (CPCQ). Data were analyzed using multivariable linear regressions and a qualitative inductive approach. RESULTS: Cooperatives with High (vs low) levels of prior experience with and investment in large-scale QI before EvidenceNOW recruited more geographically dispersed and diverse practices, with lower baseline ABCS performance (differences ranging from 2.8% for blood pressure to 41.5% for smoking), delivered more facilitation (mean=+20.3 hours, P = .04), and made greater improvements in practices' QI capacity (CPCQ: +2.04, P < .001) and smoking performance (+6.43%, P = .003). These Cooperatives had established networks of facilitators at the start of EvidenceNOW and leadership experienced in supporting this workforce, which explained their better recruitment, delivery of facilitation, and improvement in outcomes. DISCUSSION: Long-term investment that establishes regionwide organizations with infrastructure and experience to support primary care practices in QI is associated with more consistent delivery of facilitation support, and greater improvement in practice capacity and some clinical outcomes.

How Does Prior Experience Pay Off in Large-Scale Quality Improvement Initiatives?

INTRODUCTION: To examine the association of prior investment on the effectiveness of organizations delivering large-scale external support to improve primary care. METHODS: Mixed-methods study of 7 EvidenceNOW grantees (henceforth, Cooperatives) and their recruited practices (n = 1720). Independent Variable: Cooperatives's experience level prior to EvidenceNOW, defined as a sustained track record in delivering large-scale quality improvement (QI) to primary care practices (high, medium, or low). Dependent Variables: Implementation of external support, measured as facilitation dose; effectiveness at improving (1) clinical quality, measured as practices' performance on Aspirin, Blood Pressure, Cholesterol, and Smoking (ABCS); and (2) practice capacity, measured using the Adaptive Reserve (AR) score and Change Process Capacity Questionnaire (CPCQ). Data were analyzed using multivariable linear regressions and a qualitative inductive approach. RESULTS: Cooperatives with High (vs low) levels of prior experience with and investment in large-scale QI before EvidenceNOW recruited more geographically dispersed and diverse practices, with lower baseline ABCS performance (differences ranging from 2.8% for blood pressure to 41.5% for smoking), delivered more facilitation (mean=+20.3 hours, P = .04), and made greater improvements in practices' QI capacity (CPCQ: +2.04, P < .001) and smoking performance (+6.43%, P = .003). These Cooperatives had established networks of facilitators at the start of EvidenceNOW and leadership experienced in supporting this workforce, which explained their better recruitment, delivery of facilitation, and improvement in outcomes. DISCUSSION: Long-term investment that establishes regionwide organizations with infrastructure and experience to support primary care practices in QI is associated with more consistent delivery of facilitation support, and greater improvement in practice capacity and some clinical outcomes.

The Medicaid expansion did not crowd out access for medicaid recipients with disabilities in Oregon.

BACKGROUND: The Affordable Care Act (ACA) substantially increased the number of Medicaid enrollees, which could have reduced access to health care services for those already on Medicaid before the expansion. OBJECTIVE: To examine the association of the ACA expansion on health care access and utilization for adults ages 18-64 years who have qualified for Supplemental Security Income (SSI) in Oregon. METHODS: We used Oregon Medicaid claims and enrollment data from 2012 to 2015 and information from the American Community Survey and the Local Area Unemployment Statistics. Multivariate regressions compared changes in health care access and utilization before and after the expansion among Medicaid recipients who qualified for SSI across counties in Oregon with higher and lower Medicaid enrollment increases due to the expansion. Health care access and utilization outcome measures included: primary care visits, non-behavioral health outpatient visits, behavioral health outpatient visits, emergency department (ED) visits and potentially avoidable ED visits. RESULTS: The Medicaid expansion led to an uneven increase in Medicaid enrollment across Oregon's counties (mean increase from the first quarter of 2012 to the third quarter of 2015: 12.4% points; range: 7.3 to 18.6% points). Access and utilization outcomes for SSI Medicaid recipients were mostly unaffected by differential enrollment increases. ED visits increased more in counties with a larger Medicaid enrollment increase (estimate: 1.8, p < 0.05), but adjusting for pre-expansion trends eliminated this association. CONCLUSIONS: We did not find evidence that an increase in Medicaid enrollment due to the ACA negatively impacted access and utilization for adult Medicaid recipients on SSI, who were eligible for Medicaid prior to expansion.

Association of Expanded Prenatal Care Coverage for Immigrant Women With Postpartum Contraception and Short Interpregnancy Interval Births.

Importance: Access to prenatal and postpartum care is restricted among women with low income who are recent or undocumented immigrants enrolled in Emergency Medicaid. Objective: To examine the association of extending prenatal care coverage to Emergency Medicaid enrollees with postpartum contraception and short interpregnancy interval births. Design, Setting, and Participants: This cohort study used a difference-in-differences design to compare the staggered rollout of prenatal care in Oregon with South Carolina, a state that does not cover prenatal or postpartum care. Linked Medicaid claims and birth certificate data from 2010 to 2016 were examined for an association between prenatal care coverage for women whose births were covered by Emergency Medicaid and subsequent short IPI births. Additional maternal and infant health outcomes were also examined, including postpartum contraceptive use, preterm birth, and neonatal intensive care unit admission. The association between the policy change and measures of policy implementation (number of prenatal visits) and quality of care (receipt of 8 guideline-based screenings) was also analyzed. Statistical analysis was performed from August 2020 to March 2021. Exposures: Medicaid coverage of prenatal care. Main Outcomes and Measures: Postpartum contraceptive use, defined as receipt of any contraceptive method within 60 days of delivery; short IPI births, defined as occurring within 18 months of a previous pregnancy. Results: The study population consisted of 26 586 births to women enrolled in Emergency Medicaid in Oregon and South Carolina. Among these women, 14 749 (55.5%) were aged 25 to 35 years, 25 894 (97.4%) were Black, Hispanic, Native American, Alaskan, Pacific Islander, or Asian women or women with unknown race/ethnicity, and 17 905 (67.3%) lived in areas with urban zip codes. Coverage of prenatal care for women in Emergency Medicaid was associated with significant increases in mean (SD) prenatal visits (increase of 10.3 [0.9] prenatal visits) and prenatal quality. Prenatal care screenings (eg, anemia screening: increase of 65.7 percentage points [95% CI, 54.2 to 77.1 percentage points]) and vaccinations (eg, influenza vaccination: increase of 31.9 percentage points [95% CI, 27.4 to 36.3 percentage points]) increased significantly following the policy change. Although postpartum contraceptive use increased following prenatal care expansion (increase of 1.5 percentage points [95% CI, 0.4 to 2.6 percentage points]), the policy change was not associated with a reduction in short IPI births (-4.5 percentage points [95% CI, -9.5 to 0.5 percentage points), preterm births (-0.6 percentage points [95% CI, -3.2 to 2.0 percentage points]), or neonatal intensive care unit admissions (increase of 0.8 percentage points [95% CI, -2.0 to 3.6 percentage points]). Conclusions and Relevance: This study found that expanding Emergency Medicaid benefits to include prenatal care significantly improved receipt of guideline-concordant prenatal care. Prenatal care coverage alone was not associated with a meaningful increase in postpartum contraception or a reduction in subsequent short IPI births.