Associations of Homelessness With Primary Care and Acute Care Utilization Among Medicaid-Enrolled Youth.

BACKGROUND: Youth comprise one-third of the US homeless population. However, little is known about how homelessness affects health care utilization. OBJECTIVE: Examine associations of homelessness with hospitalization, primary care, and ED visits, varying by race/ethnicity, among Medicaid-enrolled youth. RESEARCH DESIGN: A cross-sectional analysis was conducted using California Medicaid claims data on youth beneficiaries with complex needs. We examined the number of hospitalizations, preventable and nonpreventable ED, and primary care visits using a multivariate regression. We further explored the differential associations by race/ethnicity. RESULTS: Approximately 17% of our sampled youth experienced homelessness in 2018 (N=90,202). Compared with their housed counterparts, youth experiencing homelessness had a 1.9 percentage point (pp) higher likelihood of frequent ED visits (95% CI: 1.7-2.2) but a 2.9 pp lower probability of any primary care visits (95% CI: -3.9 to -1.9). Homelessness was associated with 221 more ED visits (95% CI: 182-260), 100 more preventable ED visits (95% CI: 84-116), 19.9 more hospitalizations (95% CI: 12-27), but 56 fewer primary care visits (95% CI: -104 to -7), per 1000 youth. The associations of homelessness with total ED visits, preventable ED visits, and needed and nonpreventable ED visits were all higher among Whites and, particularly, Blacks than for Hispanics and Asians. CONCLUSIONS: Medicaid-enrolled youth who experienced homelessness had more overall ED, preventable ED, and hospital visits, but fewer primary care visits than their housed peers. Our results suggest promoting primary care use should be considered among strategies to improve health and reduce costs.

Differences in Health Care Utilization of High-Need and High-Cost Patients of Federally Funded Health Centers Versus Other Primary Care Providers.

BACKGROUND: Primary care providers (PCP) differ in their ability to address the needs and reduce use of costly services among complex Medicaid beneficiaries. Among PCPs, Health Resources and Services Administration (HRSA)-funded health centers (HCs) are shown to provide high-value care. OBJECTIVE: We compared health care utilization of complex Medicaid managed care beneficiaries whose PCPs were HCs versus 3 other groups. RESEARCH DESIGN: Cross-sectional study using propensity score matching comparing health care use by provider type, controlling for demographics, health status, and other covariates. SUBJECTS: California Medicaid administrative data for complex adult managed care beneficiaries with at least 1 primary care visit in 2018. MEASURES: Primary and specialty care evaluation & management visits and services; emergency department (ED) visits; and hospitalizations. PCPs included HCs, clinics not funded by HRSA, solo, and group practice providers. RESULTS: HRSA-funded HCs had lower predicted rates of specialty evaluation & management and other services than all others; lower predicted probability of any ED visits than clinics not funded by HRSA [54% (95% CI: 53%-55%) vs. 56% (95% CI: 55%-57%)] and group practice providers [51% (95% CI: 51%-52%) vs. 52% (95% CI: 52%-53%)]; and lower PP of any hospitalizations than solo [20% (95% CI: 19%-20%) vs. 23% (95% CI: 22%-24%)] and group practice providers [21% (95% CI: 20%-21%) vs. 24% (95% CI: 23%-24%)]. CONCLUSIONS: Differences in HC care delivery and practices were associated with lower use of specialty, ED, and hospitalization visits compared with other PCPs for complex Medicaid managed care beneficiaries. Understanding the underlying reasons for these utilization differences may promote better outcomes among these patients.

Beyond "Chilling Effects": Latinx and Asian Immigrants' Experiences With Enforcement and Barriers to Health Care.

OBJECTIVES: Immigration enforcement policies are associated with immigrants' barriers to health care. Current evidence suggests that enforcement creates a "chilling effect" in which immigrants avoid care due to fear of encountering enforcement. Yet, there has been little examination of the impact of immigrants' direct encounters with enforcement on health care access. We examined some of the first population-level data on Asian and Latinx immigrants' encounters with law and immigration enforcement and assessed associations with health care access. METHODS: We analyzed the 2018 and 2019 Research on Immigrant Health and State Policy survey in which Asian and Latinx immigrants in California (n=1681) reported on 7 enforcement experiences (eg, racial profiling and deportation). We examined the associations between measures of individual and cumulative enforcement experiences and the usual sources of care and delay in care. RESULTS: Latinx, compared with Asian respondents, reported the highest levels of enforcement experiences. Almost all individual enforcement experiences were associated with delaying care for both groups. Each additional cumulative experience was associated with a delay in care for both groups (OR=1.30, 95% CI 1.10-1.50). There were no associations with the usual source of care. CONCLUSION: Findings confirm that Latinx immigrants experience high levels of encounters with the enforcement system and highlight new data on Asian immigrants' enforcement encounters. Direct experiences with enforcement have a negative relationship with health care access. Findings have implications for health systems to address the needs of immigrants affected by enforcement and for changes to health and immigration policy to ensure immigrants' access to care.

Ensuring Equitable Care in Diabetes Management Among Patients of Health Resources & Services Administration-Funded Health Centers in the United States.

Aim: To explore whether there are racial/ethnic differences in diabetes management and outcomes among adult health center (HC) patients with type 2 diabetes. Methods: We analyzed data from the 2014 Health Center Patient Survey, a national sample of HC patients. We examined indicators of diabetes monitoring (A1C testing, annual foot/eye doctor visits, and cholesterol checks) and care management (specialist referrals, individual treatment plan, and receipt of calls/appointments/home visits). We also examined diabetes-specific outcomes (blood glucose levels, diabetes-related emergency department [ED] visits/hospitalizations, and diabetes self-management confidence) and general outcomes (number of doctor visits, ED visits, and hospitalizations). We used multilevel logistic regression models to examine racial/ethnic disparities by the above indicators. Results: We found racial/ethnic parity in A1C testing, eye doctor visits, and diabetes-specific outcomes. However, Hispanics/Latinos (odds ratio [OR] 0.26), non-Hispanic African Americans (OR 0.25), and Asians (OR 0.11) were less likely to receive a cholesterol check than Whites. Non-Hispanic African Americans (OR 0.43) were less likely to have frequent doctor visits, while Hispanic/Latino patients (OR 0.45) were less likely to receive an individual treatment plan. Conclusion: HCs largely provide equitable diabetes care but have room for improvement in some indicators. Tailored efforts such as culturally competent care and health education for some racial/ethnic groups may be needed to improve diabetes management and outcomes.

Staffing transformation following Patient-Centered Medical Home recognition among Health Resources & Services Administration-funded health centers.

INTRODUCTION: Patient-Centered Medical Home (PCMH) recognition is designed to promote whole-person team-based and integrated care. PURPOSE: Our goal was to assess changes in staffing infrastructure that promoted team-based and integrated care delivery before and after PCMH recognition in Health Resources & Services Administration (HRSA)-funded health centers (HCs). METHODOLOGY/APPROACH: We identified changes in staffing 2 years before and 3 years after PCMH recognition using 2010-2019 Uniform Data System data among three cohorts of HCs that received PCMH recognition in 2013 ( n = 346), 2014 ( n = 207), and 2015 ( n = 115). Our outcomes were team-based ratio (full-time equivalent medical and nonmedical providers and staff to one primary care physician) and a multidisciplinary staff ratio (allied medical and nonmedical staff to 1,000 patients). We used mixed-effects Poisson regression models. RESULTS: The earlier cohorts served fewer complex patients and were larger before PCMH recognition. Three years following recognition, the 2013 and 2014 cohorts had significantly larger team-based ratios, and all three cohorts had significantly larger multidisciplinary staff ratios. Cohorts varied, however, in the type of staff that drove this change. Both ratios increased in the longer term. CONCLUSION: Our study suggests that growth in team-based and multidisciplinary staff ratios in each cohort may have been due to a combination of HCs' perceptions of need for specific services, HRSA funding, and technical assistance opportunities. POLICY IMPLICATIONS: Further research is needed to understand barriers such as costs of employing a multidisciplinary staff, particularly those that cannot directly bill for services as well as whether such changes lead to practice transformation and improved quality of care.

Overview of Ten Child Mental Health Clinical Outcome Measures: Testing of Psychometric Properties with Diverse Client Populations in the U.S.

While many standardized assessment measures exist to track child mental health treatment outcomes, the degree to which such tools have been adequately tested for reliability and validity across race, ethnicity, and class is uneven. This paper examines the corpus of published tests of psychometric properties for the ten standardized measures used in U.S. child outpatient care, with focus on breadth of testing across these domains. Our goal is to assist care providers, researchers, and legislators in understanding how cultural mismatch impacts measurement accuracy and how to select tools appropriate to the characteristics of their client populations. We also highlight avenues of needed research for measures that are in common use. The list of measures was compiled from (1) U.S. state Department of Mental Health websites; (2) a survey of California county behavioral health agency directors; and (3) exploratory literature scans of published research. Ten measures met inclusion criteria; for each one a systematic review of psychometrics literature was conducted. Diversity of participant research samples was examined as well as differences in reliability and validity by gender, race or ethnicity, and socio-economic class. All measures showed adequate reliability and validity, however half lacked diverse testing across all three domains and all lacked testing with Asian American/Pacific Islander and Native American children. ASEBA, PSC, and SDQ had the broadest testing.

Colocation Does Not Equal Integration: Identifying and Measuring Best Practices in Primary Care Integration of Children's Oral Health Services in Health Centers.

OBJECTIVE: Improving oral health of low-income and uninsured young children remains challenging because of reluctance of general dentists to care for very young children or participate in Medicaid, limited involvement of primary care providers in children's oral health, and lack of parental awareness of the importance of early oral health care. These barriers can be addressed in health centers (HCs) that are the premier sources of primary care for low-income and uninsured populations and a significant Medicaid provider. Many HCs provide dental services on-site, but literature indicates that medical and dental services often remain siloed with limited interaction among providers in addressing the oral health needs of young patients including risk assessment, education, and caries prevention. Accordingly, we developed a conceptual framework and measuring tool for medical dental integration and sought to examine utility of this tool in a purposive sample of HCs. METHOD: We developed a conceptual framework for integrated oral health delivery and designed a survey to measure this integration. We surveyed 12 HCs in Los Angeles County participating in a project to improve oral health-care capacity for young children after 2 years of implementation. We included measures of risk assessment, preventive interventions, communication and collaborative practice, and buy-in organized in structure and process domains. Two individuals independently scored the responses, and a third reviewed and finalized. We standardized final scores to range from 0 to 100. RESULTS: Overall integration scores ranged from 31% to 73% (mean = 64%). Process scores were higher than structure scores for nearly all HCs. Processes contributing to higher scores included referrals with warm hand-offs, leadership support for medical-dental integration, and involvement in dental quality improvement projects. Structure factors contributing to higher scores included the presence of medical oral health champions, linked electronic health records, and referral protocols. CONCLUSION: We found that high levels of integration could be achieved despite structure and process limitations and sustainable integration depends on leadership and provider commitment and embedding of best practices in daily operations. Further research can illustrate the reliability of our tool and the impact of integration on access.

HRSA-funded Health Centers Are an Important Source of Care and Reduce Unmet Needs in Primary Care Services.

BACKGROUND: Evidence indicates the unmet need for primary care services including medical, mental health, and dental care is greater among uninsured and Medicaid beneficiaries than privately insured individuals, many of whom use Health Resources and Services Administration-funded health centers (HRSA HCs). OBJECTIVE: We examined differences in rates of unmet need between low-income uninsured and Medicaid patients of HRSA HCs and safety-net clinics in general or private physicians. RESEARCH DESIGN: We used logistic regression models to compare the predicted probabilities of unmet need for uninsured and Medicaid individuals whose usual source of care is HRSA HCs versus clinics in general or private physicians. SAMPLE: We used a nationally representative survey of low income, adult patients who identified HRSA HCs as their usual source of care. We used the National Health Interview Survey to independently identify low-income individuals whose usual source of care was clinics (National Health Interview Survey clinics) or physicians (National Health Interview Survey physicians) in the general population. MEASURES: Dependent variables were unmet need and delay in medical care, and unmet need for prescription medications, mental health, and dental care. The primary independent variable of interest was the usual source of care. We controlled for potential confounders. RESULTS: We found the probability of unmet need for medical and dental care to be lower among HRSA HC patients than individuals whose usual source of care were not HRSA HCs. CONCLUSIONS: HRSA HC patients have lower probabilities of unmet need for medical and dental care. This is likely because HRSA HCs provide accessible, affordable, and comprehensive primary care services. Expanding capacity of these organizations will help reduce unmet need and its consequences.

Health Care Access and Physical and Behavioral Health Among Undocumented Latinos in California.

BACKGROUND: This paper provides statewide estimates on health care access and utilization patterns and physical and behavioral health by citizenship and documentation status among Latinos in California. METHODS: This study used data from the 2011-2015 California Health Interview Survey to examine health care access and utilization and physical and behavioral health among a representative sample of all nonelderly Latino and US-born non-Latino white adults (N=51,386). Multivariable regressions estimated the associations between the dependent measures and citizenship/documentation status among Latinos (US-born, naturalized citizen, green card holder, and undocumented). RESULTS: Adjusted results from multivariable analyses observed worse access and utilization patterns among immigrant Latinos compared with US-born Latinos, with undocumented immigrants using significantly less health care. Undocumented Latinos had lower odds of self-reporting excellent/very good health status compared with US-born Latinos, despite them having lower odds of having several physical and behavioral health outcomes (overweight/obesity, physician-diagnosed hypertension, asthma, self-reported psychological distress, and need for behavioral health services). Among those reporting a need for behavioral health services, access was also worse for undocumented Latinos when compared with US-born Latinos. CONCLUSIONS: Patterns of poor health care access and utilization and better physical and behavioral health are observed across the continuum of documentation status, with undocumented immigrants having the worst access and utilization patterns and less disease. Despite fewer reported diagnoses and better mental health, undocumented Latinos reported poorer health status than their US-born counterparts.

There and Back Again: How the Repeal of ACA Can Impact Community Health Centers and the Populations They Serve.

We examined the impact of Medicaid expansion on rates of the remaining uninsured at the federally qualified health center level by race/ethnicity, limited English proficiency, and poverty status of their patients. Results indicated a systematic disadvantage in nonexpansion states for federally qualified health centers with high concentrations of these populations and an advantage in expansion states for federally qualified health centers with fewer limited English proficiency patients. Our findings highlight the importance of maintaining the Affordable Care Act in reducing disparities in coverage and the importance of federal funding to continue services for the remaining uninsured and vulnerable populations in both expansion and nonexpansion states.

Availability of Care Concordant With Patient-centered Medical Home Principles Among Those With Chronic Conditions: Measuring Care Outcomes.

BACKGROUND: Care delivery redesign in the form of patient-centered medical home (PCMH) is considered as a potential solution to improve patient outcomes and reduce costs, particularly for patients with chronic conditions. But studies of prevalence or impact at the population level are rare. OBJECTIVES: We aimed to assess whether desired outcomes indicating better care delivery and patient-centeredness were associated with receipt of care according to 3 important PCMH principles. RESEARCH DESIGN: We analyzed data from a representative population survey in California in 2009, focusing on a population with chronic condition who had a usual source of care. We used bivariate, logistic, and negative-binomial regressions. MEASURES: The indicators of PCMH concordant care included continuity of care (personal doctor), care coordination, and care management (individual treatment plan). Outcomes included flu shots, count of outpatient visits, any emergency department visit, timely provider communication, and confidence in self-care. RESULTS: We found that patients whose care was concordant with all 3 PCMH principles were more likely to receive flu shots, more outpatient care, and timely response from providers. Concordance with 2 principles led to some desired outcomes. Concordance with only 1 principle was not associated with desired outcomes. CONCLUSIONS: Patients who received care that met 3 key aspects of PCMH: coordination, continuity, and management, had better quality of care and more efficient use of the health care system.

Recall compliance and incidence of dental caries among underserved children.

Regular dental recall intervals are widely recommended by dentists in the U.S. to prevent caries and improve periodontal health. However, there is some debate on whether or not compliance with six-month or more frequent recall intervals results in reduced incidence of dental caries. This study examines whether compliance with regular recall and receipt of cleanings, exams and patient education reduces rates of new decay in underserved children and finds a positive impact.

Program Implementation Strategies Associated With Reduced Acute Care Utilization for Medicaid Beneficiaries in California's Whole Person Care Pilot Program.

Public health care policymakers and payers are increasingly investing in efforts to address patients' health-related social needs (HRSNs) as a strategy for improving health while controlling or reducing costs. However, evidence regarding the implementation and impact of HRSN interventions remains limited. California's Whole Person Care Pilot program (WPC) was a Medicaid Section 1115 waiver demonstration program focused on the provision of care coordination and other services to address eligible beneficiaries' HRSN. In this study, we examine pilot-level variation in impact on acute care utilization and identify factors associated with differential outcomes. The majority of pilots reduced emergency department (ED) visits for enrollees relative to matched controls; however, only four pilots reduced both ED visits and hospitalizations. Coincidence analysis results highlight the importance of cross-sector partnerships, field-based outreach and engagement, and adequate program investment in differentiating pilots that reduced acute care utilization from those that did not.

European immigrant health policies, immigrants' health, and immigrants' access to healthcare.

OBJECTIVE: Evidence indicates presence of immigrant health disparities in the European Union (EU) and the United States (US). We examined the association between immigrant health policies and the gap in health status, unmet needs and service use between immigrants and citizens, in the EU and US. METHODS: We used the Migrant Integration Policy Index (MIPEX), European Health Interview Survey, and National Health Interview Survey for 2014. Our independent variables of interest were MIPEX Health strand score and citizenship. Our dependent variables were four measures of health status (self-reported poor health; severely limited in general activities; two or more comorbidities; one or more ambulatory care sensitive conditions) and four measures of health access and utilization (unmet need due to non-financial reasons; could not afford needed health care; one or more primary care visits last year; any hospitalization last year). We conducted linear probability models and presented the marginal effects of each outcome in percentage points. FINDINGS: We found that immigrant-friendly health policies were significantly associated with better health and less unmet need due to non-financial reasons. CONCLUSION: Our findings supported the promotion of immigrant-friendly and a 'Health-in-All Policies' (HiAP) approach to preserve the health of immigrants.

Easy to use and validated predictive models to identify beneficiaries experiencing homelessness in Medicaid administrative data.

OBJECTIVE: To develop easy to use and validated predictive models to identify beneficiaries experiencing homelessness from administrative data. DATA SOURCES: We pooled enrollment and claims data from enrollees of the California Whole Person Care (WPC) Medicaid demonstration program that coordinated the care of a subset of Medicaid beneficiaries identified as high utilizers in 26 California counties (25 WPC Pilots). We also used public directories of social service and health care facilities. STUDY DESIGN: Using WPC Pilot-reported homelessness status, we trained seven supervised learning algorithms with different specifications to identify beneficiaries experiencing homelessness. The list of predictors included address- and claims-based indicators, demographics, health status, health care utilization, and county-level homelessness rate. We then assessed model performance using measures of balanced accuracy (BA), sensitivity, specificity, positive predictive value, negative predictive value, and area under the receiver operating characteristic curve (area under the curve [AUC]). DATA COLLECTION/EXTRACTION METHODS: We included 93,656 WPC enrollees from 2017 to 2018, 37,441 of whom had a WPC Pilot-reported homelessness indicator. PRINCIPAL FINDINGS: The random forest algorithm with all available indicators had the best performance (87% BA and 0.95 AUC), but a simpler Generalized Linear Model (GLM) also performed well (74% BA and 0.83 AUC). Reducing predictors to the top 20 and top five most important indicators in a GLM model yields only slightly lower performance (86% BA and 0.94 AUC for the top 20 and 86% BA and 0.91 AUC for the top five). CONCLUSIONS: Large samples can be used to accurately predict homelessness in Medicaid administrative data if a validated homelessness indicator for a small subset can be obtained. In the absence of a validated indicator, the likelihood of homelessness can be calculated using county rate of homelessness, address- and claim-based indicators, and beneficiary age using a prediction model presented here. These approaches are needed given the rising prevalence of homelessness and the focus of Medicaid and other payers on addressing homelessness and its outcomes.

Weight management practices of health center providers in the United States.

BACKGROUND: We examined weight management counseling practices of Health Resources and Services Administration-funded health center (HC) providers for patients with overweight (POW) and obesity (POB) status, focusing on weight-related conditions, risk factors, and health care utilization. METHOD: We used a nationally representative cross-sectional survey of HC patients and multilevel generalized structural equation logistic regression models to assess the association of provider counseling practices for POW and POB and by three obesity classes. Dependent variables included being told by the HC provider that weight was a problem, receiving a diet or exercise recommendation, referral to a nutritionist, or receiving weight loss prescriptions. Independent variables included weight-related conditions such as diabetes and hypertension, risk factors such as smoking, and health service utilization such as five or more primary care visits. RESULTS: All POB classes had higher odds of receiving all five counseling interventions than POW. Patients with diabetes and high cholesterol had higher odds of diet recommendations (OR = 1.8) and nutritionist referrals (OR = 2.3), while patients with cardiovascular disease had higher odds of nutritionist referral (OR = 2.0) and receiving weight loss prescriptions (OR = 2.6). Respondents with POB class III and diabetes had higher odds of receiving exercise recommendations (OR = 3.4), while POB class 1 and had hypertension had lower odds of nutritionist referral (OR = 0.3). CONCLUSIONS: Variations in HC primary care providers' weight management counseling practices between POW and POB present missed opportunities for consistent practice and early intervention. Assessing providers' counseling practices for patients with comorbid conditions is essential to the successful management of the obesity crisis.

The Impact of a Primary Care Telepsychiatry Program on Outcomes of Managed Care Older Adults.

OBJECTIVE: The goal of this study was to assess the outcomes of a primary-based telepsychiatry intervention program for older managed care enrollees with depression/anxiety and with limited access to in-person psychiatric care. DESIGN: A pre-post design was used to examine service use (n = 218) and severity of depression (n = 204). Enrollment, claims, and depression and anxiety score data were obtained from the medical group. The implementation process and self-reported outcomes were examined. SETTING AND PARTICIPANTS: The program was funded by the Senior Care Action Network (SCAN) group and implemented by a large medical group serving older adults who were identified as needing outpatient psychiatric care, including those with psychiatric hospitalizations, depression/anxiety disorders, comorbid substance use disorders, or other multiple comorbidities. METHODS: Poisson regressions were used to examine changes in predicted rates of outpatient services, emergency department visits, and hospitalizations up to 24 months prior and 24 months following the first telepsychiatry visit. Changes in predicted severity of depression up to 2 quarters prior and 3 quarters following the first telepsychiatry visit were examined. RESULTS: The number of outpatient services declined significantly by 0.24 per patient per 6-month time frame following the first telepsychiatry visit. The number of emergency department visits and hospitalizations also declined after the first visit (0.07 and 0.03 per patient per 6-month time frame, respectively). Depression severity scores also declined in the quarters following the first visit (1.52). The medical group reported improvements in both wait time for appointments and no-show rates with the integration of telepsychiatry in primary care. CONCLUSIONS AND IMPLICATIONS: The telepsychiatry program lowered service use, depression severity, and increased better access to psychiatry care. The findings highlight the potential benefits of sustaining and expanding the telepsychiatry program by SCAN and other plans facing a limited supply of psychiatrists.

A Systematic Literature Review of Health Center Efforts to Address Social Determinants of Health.

Health centers (HCs) play a crucial and integral role in addressing social determinants of health (SDOH) among vulnerable and underserved populations, yet data on SDOH assessment and subsequent actions is limited. We conducted a systematic review to understand the existing evidence of integration of SDOH into HC primary-care practices. Database searches yielded 3,516 studies, of which 41 articles met the inclusion criteria. A majority of studies showed that HCs primarily captured patient-level rather than community-level SDOH data. Studies also showed that HCs utilized SDOH in electronic health records but capabilities varied widely. A few studies indicated that HCs measured health-related outcomes of integrating SDOH data. The review highlighted that many knowledge gaps exist in the collection, use, and assessment of impact of these data on outcomes, and future research is needed to address this knowledge gap.

Factors associated with frequent emergency department visits among health centre patients receiving primary care.

RATIONALE, AIMS AND OBJECTIVES: We sought to examine specific care-seeking behaviours and experiences, access indicators, and patient care management approaches associated with frequency of emergency department (ED) visits among patients of Health Resources and Services Administration-funded health centres that provide comprehensive primary care to low-income and uninsured patients. METHOD: We used cross-sectional data of a most recent nationally representative sample of health centre adult patients aged 18-64 (n = 4577) conducted between October 2014 and April 2015. These data were merged with the 2014 Uniform Data System to incorporate health centre characteristics. We measured care-seeking behaviours by whether the patient called the health centre afterhours, for an urgent appointment, or talked to a provider about a concern. Access to care indicators included health centre continuity of care and receipt of transportation or translation services. We included receipt of care coordination and specialist referral as care management indicators. We used a multilevel multinomial logistic regression model to identify the association of independent variables with number of ED visits (4 or more visits, 2-3 visits, 1 visit, vs. 0 visits), controlling for predisposing, enabling, and need characteristics. RESULTS: Calling the health centre after-hours (OR = 2.41) or for urgent care (OR = 2.53), and being referred to specialists (OR = 2.36) were associated with higher odds of four or more ED visits versus none. Three or more years of continuity with the health centre (OR = 0.32) was also associated with lower odds of four or more ED visits versus none. CONCLUSIONS: Findings underscore opportunities to reduce higher frequency of ED visits in health centres, which are primary care providers to many low-income populations. Our findings highlight the potential importance of improving patient retention, better access to providers afterhours or for urgent visits, and access to specialist as areas of care in need of improvement.

Access to dental care and the capacity of the California dental care system.

The authors estimated the following levels of technical efficiency for three types of dental practices in California where technical efficiency is defined as the maximum output that can be produced from a given set of inputs: generalists (including pediatric dentists), 96.5 percent; specialists, 77.1 percent; community dental clinics, 83.6 percent. Combining this with information on access, it is estimated that the California dental care system in 2009-10 could serve approximately 74 percent of the population.