Michelle Ko

The role of medical education in reducing health care disparities : The first ten years of the UCLA/drew medical education program

BACKGROUNDThe University of California, Los Angeles (UCLA)/Charles R. Drew University Medical Education Program was developed to train physicians for practice in underserved areas. The UCLA/Drew Medical Education Program students receive basic science instruction at UCLA and complete their required clinical rotations in South Los Angeles, an impoverished urban community. We have previously shown that, in comparison to their UCLA counterparts, students in the Drew program had greater odds of maintaining their commitment to medically disadvantaged populations over the course of medical education.OBJECTIVETo examine the independent association of graduation from the UCLA/Drew program with subsequent choice of physician practice location. We hypothesized that participation in the UCLA/Drew program predicts future practice in medically disadvantaged areas, controlling for student demographics such as race/ethnicity and gender, indicators of socioeconomic status, and specialty choice.DESIGNRetrospective cohort study.PARTICIPANTSGraduates (1,071) of the UCLA School of Medicine and the UCLA/Drew Medical Education Program from 1985–1995, practicing in California in 2003 based on the address listed in the American Medical Association (AMA) Physician Masterfile.MEASUREMENTSPhysician address was geocoded to a California Medical Service Study Area (MSSA). A medically disadvantaged community was defined as meeting any one of the following criteria: (a) federally designated HPSA or MUA; (b) rural area; (c) high minority area; or (d) high poverty area.RESULTSFifty-three percent of UCLA/Drew graduates are located in medically disadvantaged areas, in contrast to 26.1% of UCLA graduates. In multivariate analyses, underrepresented minority race/ethnicity (OR: 1.57; 95% CI: 1.10–2.25) and participation in the Drew program (OR: 2.47; 95% CI: 1.59–3.83) were independent predictors of future practice in disadvantaged areas.CONCLUSIONSPhysicians who graduated from the UCLA/Drew Medical Education Program have higher odds of practicing in underserved areas than those who completed the traditional UCLA curriculum, even after controlling for other factors such as race/ethnicity. The association between participation in the UCLA/Drew Medical Education Program and physician practice location suggests that medical education programs may reinforce student goals to practice in disadvantaged communities.

Impact of the University of California, Los Angeles/Charles R. Drew University Medical Education Program on medical students' intentions to practice in underserved areas.

Purpose To estimate the impact of a U.S. inner-city medical education program on medical school graduates’ intentions to practice in underserved communities. Method The authors conducted an analysis of secondary data on 1,088 medical students who graduated from either the joint University of California, Los Angeles/Charles R. Drew University Medical Education Program (UCLA/Drew) or the UCLA School of Medicine between 1996 and 2002. Intention to practice in underserved communities was measured using students’ responses to questionnaires administered at matriculation and graduation for program improvement by the Association of American Medical Colleges. Multivariate logistic regression analysis was used to compare the odds of intending to practice in underserved communities among UCLA/Drew students with those of their counterparts in the UCLA School of Medicine. Results Compared with students in the UCLA School of Medicine, UCLA/Drew students had greater adjusted odds of reporting intention to work in underserved communities at graduation, greater odds of maintaining or increasing such intentions between matriculation and graduation, and lower odds of decreased intention to work in underserved communities between matriculation and graduation. Conclusions Training in the UCLA/Drew program was independently associated with intention to practice medicine in underserved communities, suggesting that a medical education program can have a positive effect on students’ goals to practice in underserved areas.

Race/Ethnicity and Geographic Access to Medicaid Substance Use Disorder Treatment Facilities in the United States

IMPORTANCE Although substance use disorders (SUDs) are prevalent and associated with adverse consequences, treatment rates remain low. Unlike physical and mental health problems, treatment for SUDs is predominantly provided in a separate specialty sector and more heavily financed by public sources. Medicaid expansion under the Patient Protection and Affordable Care Act has the potential to increase access to treatment for SUDs but only if an infrastructure exists to serve new enrollees. OBJECTIVE To examine the availability of outpatient SUD treatment facilities that accept Medicaid across US counties and whether counties with a higher percentage of racial/ethnic minorities are more likely to have gaps in this infrastructure. DESIGN, SETTING, AND PARTICIPANTS We used data from the 2009 National Survey of Substance Abuse Treatment Services public use file and the 2011-2012 Area Resource file to examine sociodemographic factors associated with county-level access to SUD treatment facilities that serve Medicaid enrollees. Counties in all 50 states were included. We estimated a probit model with state indicators to adjust for state-level heterogeneity in demographics, politics, and policies. Independent variables assessed county racial/ethnic composition (ie, percentage black and percentage Hispanic), percentage living in poverty, percentage living in a rural area, percentage insured with Medicaid, percentage uninsured, and total population. MAIN OUTCOMES AND MEASURES Dichotomous indicator for counties with at least 1 outpatient SUD treatment facility that accepts Medicaid. RESULTS Approximately 60% of US counties have at least 1 outpatient SUD facility that accepts Medicaid, although this rate is lower in many Southern and Midwestern states than in other areas of the country. Counties with a higher percentage of black (marginal effect [ME],  -3.1; 95% CI,  -5.2% to -0.9%), rural (-9.2%; -11.1% to -7.4%), and/or uninsured (-9.5%; -13.0% to -5.9%) residents are less likely to have one of these facilities. CONCLUSIONS AND RELEVANCE The potential for increasing access to SUD treatment via Medicaid expansion may be tempered by the local availability of facilities to provide care, particularly for counties with a high percentage of black and/or uninsured residents and for rural counties. Although states that opt in to the expansion will secure additional federal funds for the SUD treatment system, additional policies may need to be implemented to ensure that adequate geographic access exists across local communities to serve new enrollees.

The urban neighborhood and cognitive functioning in late middle age.

This study examines the association of cognitive functioning with urban neighborhood socioeconomic disadvantage and racial/ethnic segregation for a U.S. national sample of persons in late middle age, a time in the life course when cognitive deficits begin to emerge. The key hypothesis is that effects of neighborhood on cognitive functioning are not uniform but are most pronounced among subgroups of the population defined by socioeconomic status and race/ethnicity. Data are from the third wave of the Health and Retirement Survey for the birth cohort of 1931 to 1941, which was 55 to 65 years of age in 1996 (analytic N = 4,525), and the 1990 U.S. Census. Neighborhood socioeconomic disadvantage has an especially large negative impact on cognitive functioning among persons who are themselves poor, an instance of compound disadvantage. These findings have policy implications supporting “upstream” interventions to enhance cognitive functioning, especially among those most adversely affected by neighborhood socioeconomic disadvantage.

Geography and the Medicaid mental health care infrastructure: implications for health care reform.

IMPORTANCE Medicaid is the largest payer of mental health (MH) care in the United States, and this role will increase among states that opt into the Medicaid expansion. However, owing to the dearth of MH care providers who accept Medicaid, expanded coverage may not increase access to services. Facilities that provide specialty outpatient MH services and accept Medicaid compose the backbone of the community-based treatment infrastructure for Medicaid enrollees. For states that opt into the expansion, it is important to understand which local communities may face the greatest barriers to access these facilities. OBJECTIVE To examine the availability of outpatient MH facilities that accept Medicaid across US counties and whether specific types of communities are more likely to lack this infrastructure. DESIGN, SETTING, AND PARTICIPANTS Data from the 2008 National Survey of Mental Health Treatment Facilities and Area Resource File were merged. A generalized ordered logistic regression with state fixed effects was estimated to examine determinants of accessibility of these facilities. Covariates included the percentages of residents who are black, Hispanic, living in poverty, and living in a rural area. MAIN OUTCOMES AND MEASURES An ordered variable assessed whether a county had no access to outpatient MH facilities that accept Medicaid, intermediate access to these facilities (ie, ≥1 facility, but not top quintile of facility to Medicaid enrollee per capita ratio), or high access (ie, top quintile of facility to Medicaid enrollee per capita ratio). RESULTS More than one-third of counties do not have any outpatient MH facilities that accept Medicaid. Communities with a larger percentage of residents who are black (marginal effect [ME] = 3.9%; 95% CI, 1.2%-6.6%), Hispanic (ME = 4.8%; 95% CI, 2.3%-7.4%), or living in a rural area (ME = 27.9%; 95% CI, 25.3%-30.4%) are more likely to lack these facilities. CONCLUSIONS AND RELEVANCE Many communities may face constraints on the MH safety-net system as Medicaid is expanded, especially rural communities and communities with a large percentage of black or Hispanic residents.

Urban Neighborhoods and Depressive Symptoms in Late Middle Age

This study examines associations between multiple urban neighborhood characteristics (socioeconomic disadvantage, affluence, and racial/ethnic composition) and depressive symptoms among late middle aged persons and compares findings to those previously obtained for persons age 70 years and older. Survey data are from the Health and Retirement Study (HRS), a U.S. national probability sample of noninstitutionalized persons aged 51 to 61 years in 1992. Neighborhoods are 1990 U.S. census tracts. Hierarchical linear regression is used to estimate multilevel models. Depressive symptoms vary significantly across urban neighborhoods among late middle age persons. Neighborhood socioeconomic disadvantage is significantly associated with depressive symptoms, net of both individual-level sociodemographic and health variables. However, this association is contingent upon individual-level wealth in that persons with low wealth in the most disadvantaged neighborhoods report the most depressive symptoms. Unlike findings for older adults for whom neighborhood effects appear to be entirely compositional in nature, neighborhood context matters to subgroups of late middle age adults.

Urban neighbourhood unemployment history and depressive symptoms over time among late middle age and older adults

Background Little is known about how a neighbourhoods unemployment history may set the stage for depressive symptomatology. This study examines the effects of urban neighbourhood unemployment history on current depressive symptoms and subsequent symptom trajectories among residentially stable late middle age and older adults. Contingent effects between neighbourhood unemployment and individual-level employment status (ie, cross-level interactions) are also assessed. Methods Individual-level survey data are from four waves (2000, 2002, 2004 and 2006) of the original cohort of the nationally representative US Health and Retirement Study. Neighbourhoods are operationalised with US Census tracts for which historical average proportion unemployed between 1990 and 2000 and change in proportion unemployed between 1990 and 2000 are used to characterise the neighbourhoods unemployment history. Hierarchical linear regressions estimate three-level (time, individual and neighbourhood) growth models. Results Symptoms in 2000 are highest among those residing in neighbourhoods characterised by high historical average unemployment beginning in 1990 and increasing unemployment between 1990 and 2000, net of a wide range of socio-demographic controls including individual-level employment status. These neighbourhood unemployment effects are not contingent upon individual-level employment status in 2000. 6-year trajectories of depressive symptoms decrease over time on average but are not significantly influenced by the neighbourhoods unemployment history. Conclusions Given the current US recession, future studies that do not consider historical employment conditions may underestimate the mental health impact of urban neighbourhood context. The findings suggest that exposure to neighbourhood unemployment earlier in life may be consequential to mental health later in life.

Community Residential Segregation and the Local Supply of Federally Qualified Health Centers

OBJECTIVE To examine associations between community residential segregation by income and race/ethnicity, and the supply of federally qualified health centers (FQHCs) in urban areas. DATA SOURCES AND STUDY SETTING Area Resource File (2000-2007) linked with 2000 U.S. Census on U.S. metropolitan counties (N = 1,786). STUDY DESIGN We used logistic and negative binomial regression models with state-level fixed effects to examine how county-level characteristics in 2000 are associated with the presence of FQHCs in 2000, and with the increase in FQHCs from 2000 to 2007. Income and racial/ethnic residential segregation were measured by poverty and the non-white dissimilarity indices, respectively. Covariates included measures of federal criteria for medically underserved areas/populations. PRINCIPAL FINDINGS Counties with a high non-white dissimilarity index and a high percentage of minorities were more likely to have an FQHC in 2000. When we examined the addition of new FQHCs from 2000 to 2007, the effects of both poverty and non-white dissimilarity indices were positive and significant. CONCLUSIONS Residential segregation likely produces geographic segregation of health services, such that provider maldistribution may explain the association between residential segregation and FQHC supply. Metropolitan areas that fail to achieve greater integration of poor and minority communities may require FQHCs to compensate for provider shortages.

Residential Segregation and the Survival of U.S. Urban Public Hospitals

Residential segregation is associated geographic disparities in access to care, but its impact on local health care policy, including public hospitals, is unknown. We examined the effects of racial residential segregation on U.S. urban public hospital closures from 1987 to 2007, controlling for hospital, market, and policy characteristics. We found that a high level of residential segregation moderated the protective effects of Black population composition, such that a high level of residential segregation, in combination with a high percentage of poor residents, conferred a higher likelihood of hospital closure. More segregated and poorer communities face disadvantages in access to care that may be compounded as a result of instability in the health care safety net. Policy makers should consider the influence of social factors such as residential segregation on the allocation of the safety net resources.

Safety net integration: a shared strategy for becoming providers of choice.

With the expansion of coverage as a result of federal health care reform, safety net providers are confronting a challenge to care for the underserved while also competing as a provider of choice for the newly insured. Safety net institutions may be able to achieve these goals by pursuing greater delivery system integration. We interviewed safety net hospital and community health center (CHCs) leaders in five US cities to determine what strategies these organizations are employing to promote care integration in the safety net. Although there is some experimentation with payment reform and health information exchange, safety net providers identify significant policy and structural barriers to integrating service delivery. The enhanced Medicaid payments for CHCs and the federal requirement that CHCs retain independent boards discourage these organizations from integrating with other safety net providers. Current policies are not mobilizing safety net providers to pursue integration as a way to deliver more efficient and effective care. Medicaid and other policies at the federal and state level could be revised to overcome known fragmentation in the health care safety net. This includes addressing the conflicts in financing and governance arrangements that are encouraging providers to resist integration to preserve their independence.