Related Articles

Objective

Persons with low socioeconomic status have an increased risk of endstage renal disease (ESRD) due to systemic lupus erythematosus (SLE), possibly because of limited access to care. We examined if the incidence of ESRD due to SLE was higher in geographic areas with poorer access to care.

Methods

In this population-based ecological study, we tested associations between the incidence of ESRD due to SLE and the proportion of hospitalizations with no insurance, Medicaid or managed care insurance, residence in a primary care-provider shortage area or rural area, and rate of hospitalizations for ambulatory care-sensitive conditions, by ZIP code in California in 1999–2004.

Results

The incidence of ESRD due to SLE was higher in ZIP codes with higher proportions of hospitalizations with no insurance (r = 0.22, p < 0.0001) or Medicaid (r = 0.21, p < 0.0001), and in ZIP codes with higher rates of hospitalizations for ambulatory care-sensitive conditions (r = 0.23, p < 0.0001). In multivariate analyses, incidences were higher in ZIP codes with higher proportions of hospitalizations with Medicaid (p < 0.0001) and higher rates of hospitalizations for ambulatory care-sensitive conditions (p = 0.06), independent of the socioeconomic status of the ZIP code residents.

Conclusion

The incidence of ESRD due to SLE is higher in areas with higher proportions of residents who have public insurance and higher rates of avoidable hospitalizations, suggesting that limited access to care may contribute to this complication of SLE.

Objective

To evaluate the associations between Medicaid insurance and distance traveled by patients to treating physicians and health care utilization for patients with systemic lupus erythematosus (SLE).

Methods

A total of 982 adults with SLE were recruited between 2002 and 2004. We calculated the distance between patient homes and physicians using Mapquest, an Internet mapping program. We then assessed the association between Medicaid status and distance traveled to the primary SLE provider, presence of ≥1 physician visits, and the number of all physician visits, with and without adjustment for demographic and medical covariates.

Results

On an unadjusted basis, Medicaid patients traveled longer distances to see their primary SLE provider. This effect was pronounced for patients under the care of a rheumatologist. Adjustment reduced, but did not eliminate, these differences. With adjustment for covariates, Medicaid patients were equally as likely to see a rheumatologist as non-Medicaid patients. However, Medicaid patients were more likely to be seen by a general practitioner or in the emergency room for their SLE, and reported more visits to general practitioners and the emergency room for SLE.

Conclusion

Medicaid patients with SLE traveled longer distances to see an SLE physician, especially rheumatologists. They also reported a different pattern of health care utilization. These results suggest that Medicaid patients may face barriers in obtaining comprehensive medical services in proximity to their residences.

Objective

To evaluate the impact of Medicaid Managed Care (MMC) on racial disparities in access to care consistent with the Institute of Medicine (IOM) definition of racial disparity, which excludes differences stemming from health status but includes socioeconomic status (SES)-mediated differences.

Data Sources

Secondary data from the Adult Samples of the 1997–2001 National Health Interview Survey, metropolitan statistical area (MSA)-level Medicaid Health Maintenance Organization (MHMO) market share from the 1997 to 2001 InterStudy MSA Trend Dataset, and MSA characteristics from the 1997 to 2001 Area Resource File.

Study Design

I estimate multivariate regression models to compare racial disparities in doctor visits, emergency room (ER) use, and having a usual source of care between enrollees in MMC and Medicaid Fee-for-Service (FFS) plans. To contend with potential selection bias, I use a difference-in-difference analytical strategy and assess the impact of greater MHMO market share at the MSA level on Medicaid enrollees' access measures. To implement the IOM definition of racial disparity, I adjust for health status but not SES factors using a novel method to transform the distribution of health status for minority populations to approximate the white health status distribution.

Principal Findings

MMC enrollment is associated with lowered disparities in having any doctor visit in the last year for blacks, and in having any usual source of care for both blacks and Hispanics. Increasing Medicaid HMO market share lowered disparities in having any doctor visits in the last year for both blacks and Hispanics. Although disparities in most other measures were not much affected, black–white ER use disparities exist among MMC enrollees and in areas of high MHMO market share.

Conclusions

MMC programs' reduction of some disparities suggests that recent shifts in Medicaid policy toward managed care plans have benefited minority enrollees. Future research should investigate whether black–white disparities in ER use within MMC groups represent the flexibility of MMC plans to locate primary care in ERs or an inefficient delivery of care.

Objective

To evaluate the impact of Medicaid managed care organizations (MCO) on health care access for adults with disabilities (AWDs).

Data Sources

Mandatory and voluntary enrollment data for AWDs in Medicaid MCOs in each county were merged with the Medical Expenditure Panel Survey and the Area Resource File for 1996–2004.

Study Design

I use logit regression and two evaluation perspectives to compare access and preventive care for AWDs in Medicaid MCOs with FFS. From the state’s perspective, I compare AWDs in counties with mandatory, voluntary, and no MCOs. From the enrollee’s perspective, I compare AWDs who must enroll in a MCO or FFS to those who may choose between them.

Principal Findings

Mandatory MCO enrollees are 24.9% more likely to wait greater than 30 minutes to see a provider, 32% more likely to report a problem accessing a specialist, and 10% less likely to receive a flu shot within the past year. These differences persist from the state evaluation perspective.

Conclusions

States should not expect a dramatic change in health care access when they implement Medicaid MCOs to deliver care to the adult disabled population. However, continued attention to specialty care access is warranted for mandatory MCO enrollees.

This study examined how county-level resources are associated with the identification of children with autism spectrum disorders (ASD) in Medicaid. Medicaid claims from 2004 were combined with county-level data. There were 61,891 children diagnosed with ASD in the Medicaid system in 2004. Counties with lower per-student education expenditures, more students, a greater proportion of students in special education, higher per capita number of pediatricians and pediatric specialists, and a greater proportion of Medicaid enrollees and white residents had higher Medicaid prevalence. Within states, counties differ in how they implement Medicaid policies. The results suggest the substitution of education and Medicaid-reimbursed services. Our findings highlight the need for geographically targeted outreach to minority groups and clinicians to improve recognition of ASD.

The collapse of the World Trade Center on September 11, 2001, released a substantial amount of respiratory irritants into the air. To assess the asthma status of Medicaid managed care enrollees who may have been exposed, the New York State Department of Health, Office of Managed Care, conducted a mail survey among enrollees residing in New York City. All enrollees, aged 5–56 with persistent asthma before September 11, 2001, were surveyed during summer 2002. Administrative health service utilization data from the Medicaid Encounter Data System were used to validate and supplement survey responses. A total of 3.664 enrollees responded. Multivariate logistic regression models were developed to examine factors associated with self-reported worsened asthma post September 11, 2001, and with emergency department/inpatient hospitalizations related to asthma from September 11, 2001, through December 31, 2001. Forty-five percent of survey respondents reported worsened asthma post 9/11. Respondents who reported worsened asthma were significantly more likely to have utilized health services for asthma than those who reported stable or improved asthma. Residence in both lower Manhattan (adjusted OR=2.28) and Western Brooklyn (adjusted OR=2.40) were associated with self-reported worsened asthma. However, only residents of Western Brooklyn had an elevated odds ratio for emergency department/inpatient hospitalizations with diagnoses of asthma post 9/11 (adjusted OR=1.52). Worsened asthma was reported by a significant proportion of this low-income, largely minority population and was associated with the location of residence. Results from this study provide guidance to health care organizations in the development of plans to ensure the health of people with asthma during disaster situations.

Background

Despite the increasing enrollment of adult disabled beneficiaries into Medicaid managed care organizations (MCOs) there is little evidence of its (hoped for) effectiveness at reducing Medicaid expenditures.

Objective

To evaluate the impact of Medicaid MCOs on health care expenditures for adults with disabilities.

Research Design

I employ a repeated observations design comparing individual monthly Medicaid expenditures across beneficiaries who reside in counties with mandatory, voluntary, and no MCOs. County-level Medicaid MCO program status for adults with disabilities was merged with the Medical Expenditure Panel Survey and the Area Resource File for 1996–2004. Two-part regression models are used to estimate the probability and level of Medicaid expenditure.

Subjects

Working age Medicaid beneficiaries who receive Supplement Security Income for disability comprise the sample of 1,613 individuals.

Measures

Outcome measures include total and service-specific Medicaid expenditures.

Results

On average, total monthly Medicaid expenditures per beneficiary do not differ between FFS and MCO counties although some service-specific spending differs. Relative to FFS counties, average monthly Medicaid spending per beneficiary is higher for prescription medications in voluntary ($24) and mandatory ($25) MCO counties. Average Medicaid monthly spending for other medical care and dental care is $4 – $11 higher per beneficiary in MCO relative to FFS counties.

Conclusions

Medicaid MCO programs as implemented are not associated with lower Medicaid spending; thus, state Medicaid programs should consider additional policy tools to contain health care expenditures in this population.

BACKGROUND

Prior authorization is a popular, but understudied strategy for reducing medication costs. We evaluated the impact of a controversial prior authorization policy in Michigan Medicaid on antidepressant use and health outcomes among dual Medicaid and Medicare enrollees with a Social Security Disability Insurance designation of disability.

METHODS

We linked Medicaid and Medicare (2000–2003) claims for dual enrollees in Michigan and a comparison state, Indiana. Using interrupted time series and longitudinal data analysis, we estimated the impact of the policy on antidepressant medication use, treatment initiation, disruptions in therapy and adverse health events among continuously enrolled (MI=28,798, IN=21,769) and newly treated (MI=3,671, IN=2,400) patients.

RESULTS

In Michigan, the proportion of patients initiating on non-preferred agents declined from 53% pre policy to 20% post policy. The policy was associated with a small sustained decrease in therapy initiation overall (9 per 10,000; p<0.05). We also observed a short-term increase in switching among established users of non-preferred agents overall (RR: 2.88(1.87, 4.42)) and among those with depression (RR: 2.04(1.22, 3.42)). However, we found no evidence of increased disruptions in treatment or adverse events (i.e., hospitalization, emergency room use) among newly treated patients.

CONCLUSIONS

Prior authorization was associated with increased use of preferred agents with no evidence of disruptions in therapy or adverse health events among new users. However, unintended impacts on treatment initiation and switching among patients already established on the therapy were also observed, lending support to the state’s previous decision to discontinue prior approval for antidepressants in 2003.

Objective

To evaluate the impact of Medicaid managed care organizations (MCO) on health care access for adults with disabilities (AWDs).

Data Sources

Mandatory and voluntary enrollment data for AWDs in Medicaid MCOs in each county were merged with the Medical Expenditure Panel Survey and the Area Resource File for 1996–2004.

Study Design

I use logit regression and two evaluation perspectives to compare access and preventive care for AWDs in Medicaid MCOs with FFS. From the state's perspective, I compare AWDs in counties with mandatory, voluntary, and no MCOs. From the enrollee's perspective, I compare AWDs who must enroll in an MCO or FFS to those who may choose between them.

Principal Findings

Mandatory MCO enrollees are 24.9 percent more likely to wait >30 minutes to see a provider, 32 percent more likely to report a problem accessing a specialist, and 10 percent less likely to receive a flu shot within the past year. These differences persist from the state evaluation perspective.

Conclusions

States should not expect a dramatic change in health care access when they implement Medicaid MCOs to deliver care to the adult disabled population. However, continued attention to specialty care access is warranted for mandatory MCO enrollees.

OBJECTIVE: To assess the impact of insurance status on access to kidney transplantation among California dialysis patients. STUDY SETTING: California Medicare and Medicaid dialysis populations. STUDY DESIGN: All California ESRD dialysis patients under age 65 eligible for Medicare or Medicaid in 1991 (n = 9,102) took part in this cohort analytic study. DATA COLLECTION: Medicare and California Medicaid Program data were matched to the Organ Procurement and Transplantation Network Kidney Wait List files. PRINCIPAL FINDINGS: Only 31.4 percent of California Medicaid dialysis patients were placed on the kidney transplant waiting list compared to 38.8 percent and 45.0 percent of dually eligible Medicate/Medicaid and Medicare patients, respectively. Compared to the Medicaid population, Medicare enrollees were more likely to be placed on the kidney transplant waiting list (adjusted Relative Risk [RR] = 2.10, Confidence Interval [CI] 1.68, 2.62) as were dually eligible patients (RR = 1.54, CI 1.24, 1.91). Once on the waiting list, however, Medicare enrollment did not influence the adjusted median waiting time to acquire a first cadaveric transplant (p > .05). CONCLUSIONS: California dialysis patients excluded from Medicare coverage, who are disproportionately minority, female, and poor, are much less likely to enter the U.S. transplant system. We hypothesize that patient concerns with potential subsequent loss of insurance coverage as well as cultural and educational barriers are possible explanatory factors. Once in the system, however, insurance status does not influence receipt of a cadaveric renal transplant.

Purpose

Smoking prevalence among Medicaid enrollees is higher than the general population, but use of evidence-based cessation treatment is low. We evaluated whether a communications campaign improved cessation treatment utilization.

Design

Quasi-experimental.

Setting

Wisconsin.

Subjects

Enrollees in the Wisconsin Family Medicaid program. The average monthly enrollment during the study period was approximately 170,000 individuals.

Intervention

Print materials for clinicians and consumers distributed to 13 health maintenance organizations (HMO) serving Wisconsin Medicaid HMO enrollees.

Measures

Wisconsin Medicaid pharmacy claims data for smoking cessation medications were analyzed before and after a targeted communications campaign. HMO enrollees were the intervention group. Fee-for-service enrollees were a quasi-experimental comparison group. Quit Line utilization data were also analyzed.

Analysis

Pharmacotherapy claims and number of registered quitline callers were compared pre-and post-campaign.

Results

Pre-campaign, cessation pharmacotherapy claims declined for the intervention group and increased slightly for the comparison group (t = 2.29, p = 0.03). Post-campaign, claims increased in both groups. However, the rate of increase in the intervention group was significantly greater than in the comparison group (t = −2.2, p = 0.04). A statistically significant increase was also seen in the average monthly number of Medicaid enrollees that registered for Quit Line services post-campaign compared to pre-campaign (F (1,22) = 7.19, p = 0.01).

Conclusion

This natural experiment demonstrated statistically significant improvements in both pharmacotherapy claims and Quit Line registrations among Medicaid enrollees. These findings may help inform other states’ efforts to improve cessation treatment utilization.

ABSTRACT

BACKGROUND

Major policy efforts to expand health coverage to the uninsured are under consideration. Drop-out among children in Medicaid — due to annual renewal requirements — is well-documented, but the recent extent of this problem among non-elderly adults is unknown.

OBJECTIVE

To estimate the loss of health insurance over time among adults in Medicaid and identify risk factors for drop-out.

DESIGN

Survival analysis of Medicaid enrollment, using Kaplan-Meier curves and Cox proportional-hazards regression. Data are from the nationally representative Medical Expenditure Panel Survey, 2000–2004. The sample consists of non-elderly adults (n = 4,992) and children (n = 8,559) in Medicaid. Insurance status after 12 months was measured for all individuals enrolled in Medicaid at the survey’s outset. A survival analysis of disenrollment was then conducted for newly enrolled individuals.

RESULTS

Nationwide, 2 million adults leave Medicaid and become uninsured annually. Disenrollment was significantly higher among adults than children (hazard ratio 1.75, 95% CI 1.65–1.86). Respectively, 20%, 43%, and 55% of adults disenrolled within 6, 12, and 23 months of initial enrollment. Lost eligibility explained a small portion of disenrollment. Six months after disenrolling, 17% had reenrolled in Medicaid, 34% had other insurance, and 49% were uninsured. Men, younger adults, and Hispanics were more likely to drop out; those in Medicaid managed care or with disabilities were less likely. Overall health status and diseases, such as diabetes, heart disease, and depression, had no effect on drop-out.

CONCLUSIONS

Drop-out from Medicaid is a major problem among adults — even among those with chronic diseases — and contributes to the presence of millions of uninsured Americans. Policy efforts to expand health coverage must address poor Medicaid retention. Clinicians should be aware of this issue when caring for non-elderly adults in Medicaid.

Objective

To examine the role of sociodemographic factors (age, race/ethnicity, and sex) and socioeconomic factors (income and education) in the utilization of rheumatology subspecialty care in a large cohort of subjects with systemic lupus erythematosus (SLE).

Methods

Data were derived from a cohort of 982 English-speaking subjects with SLE. Between 2002 and 2004, trained survey workers administered a telephone survey to subjects eliciting information regarding demographics, SLE disease status, medications, health care utilization, health insurance, and socioeconomic status. We identified predictors of utilization of rheumatology subspecialty care, defined as at least 1 visit to a rheumatologist in the previous year. In addition, we examined factors associated with identifying any specialist as primarily responsible for SLE care.

Results

Older age, lower income, Medicare insurance, male sex, and less severe disease were associated with lack of rheumatology care. However, race/ethnicity and educational attainment were not significantly related to seeing a rheumatologist. After multivariate adjustment, only older age, lower income, and male sex remained associated with absence of rheumatology visits. Those least likely to identify a specialist as primarily responsible for their SLE care included older subjects and those reporting lower incomes.

Conclusion

Although elderly subjects and those with lower incomes traditionally have access to health care through the Medicare and Medicaid programs, the presence of health insurance alone did not ensure equal utilization of care. This finding suggests that additional barriers to accessing rheumatology subspecialty care may exist in these patient populations.

OBJECTIVE: To explore whether geographic variations in Medicare hospital utilization rates are due to differences in local hospital capacity, after controlling for socioeconomic status and disease burden, and to determine whether greater hospital capacity is associated with lower Medicare mortality rates. DATA SOURCES/STUDY SETTING: The study population: a 20 percent sample of 1989 Medicare enrollees. Measures of resources were based on a national small area analysis of 313 Hospital Referral Regions (HRR). Demographic and socioeconomic data were obtained from the 1990 U.S. Census. Measures of local disease burden were developed using Medicare claims files. STUDY DESIGN: The study was a cross-sectional analysis of the relationship between per capita measures of hospital resources in each region and hospital utilization and mortality rates among Medicare enrollees. Regression techniques were used to control for differences in sociodemographic characteristics and disease burden across areas. DATA COLLECTION/EXTRACTION METHODS: Data on the study population were obtained from Medicare enrollment (Denominator File) and hospital claims files (MedPAR) and U.S. Census files. PRINCIPAL FINDINGS: The per capita supply of hospital beds varied by more than twofold across U.S. regions. Residents of areas with more beds were up to 30 percent more likely to be hospitalized, controlling for ecologic measures of socioeconomic characteristics and disease burden. A greater proportion of the population was hospitalized at least once during the year in areas with more beds; death was also more likely to take place in an inpatient setting. All effects were consistent across racial and income groups. Residence in areas with greater levels of hospital resources was not associated with a decreased risk of death. CONCLUSIONS: Residence in areas of greater hospital capacity is associated with substantially increased use of the hospital, even after controlling for socioeconomic characteristics and illness burden. This increased use provides no detectable mortality benefit.

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OBJECTIVES: Flooding provides an opportunity for epidemics of waterborne viral, protozoan, or bacterial diseases to develop in affected areas. Epidemic levels of disease may translate into higher than average levels of health services use, depending in part on help-seeking behaviors. The authors investigated whether the flooding that occurred as a result of Hurricane Floyd in September 1999 was associated with an increase in outpatient visits for waterborne diseases among Medicaid enrollees in eastern North Carolina. METHODS: Using a difference-in-differences estimation technique, the authors examined the change in outpatient visits by North Carolina Medicaid enrollees for selected waterborne diseases following the hurricane. The study focused on counties with high concentrations of hog farming that were mildly/moderately or severely affected by the hurricane, using unaffected counties and the year before the hurricane as controls. RESULTS: Small increases in Medicaid-covered outpatient visits were found in severely affected counties for two of the six pathogens selected for analysis, relative to unaffected counties. Larger increases in visits were found for nonspecific intestinal infections in both severely and moderately affected counties following the hurricane, relative to unaffected counties. CONCLUSIONS: The large increase in visits for ill-defined intestinal infection is noteworthy. The relative lack of increase in visits with specific pathogenic diagnoses may be attributable, at least in part, to a number of factors, including incomplete diagnostic information provided by treating clinicians, low treatment-seeking behavior, and use of non-Medicaid-funded emergency services.

Objective

To determine the construct and criterion validity of the British Isles Lupus Assessment Group 2004 (BILAG-2004) index for assessing disease activity in systemic lupus erythematosus (SLE).

Methods

Patients with SLE were recruited into a multicenter cross-sectional study. Data on SLE disease activity (scores on the BILAG-2004 index, Classic BILAG index, and Systemic Lupus Erythematosus Disease Activity Index 2000 [SLEDAI-2K]), investigations, and therapy were collected. Overall BILAG-2004 and overall Classic BILAG scores were determined by the highest score achieved in any of the individual systems in the respective index. Erythrocyte sedimentation rates (ESRs), C3 levels, C4 levels, anti–double-stranded DNA (anti-dsDNA) levels, and SLEDAI-2K scores were used in the analysis of construct validity, and increase in therapy was used as the criterion for active disease in the analysis of criterion validity. Statistical analyses were performed using ordinal logistic regression for construct validity and logistic regression for criterion validity. Sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were calculated.

Results

Of the 369 patients with SLE, 92.7% were women, 59.9% were white, 18.4% were Afro-Caribbean and 18.4% were South Asian. Their mean ± SD age was 41.6 ± 13.2 years and mean disease duration was 8.8 ± 7.7 years. More than 1 assessment was obtained on 88.6% of the patients, and a total of 1,510 assessments were obtained. Increasing overall scores on the BILAG-2004 index were associated with increasing ESRs, decreasing C3 levels, decreasing C4 levels, elevated anti-dsDNA levels, and increasing SLEDAI-2K scores (all P < 0.01). Increase in therapy was observed more frequently in patients with overall BILAG-2004 scores reflecting higher disease activity. Scores indicating active disease (overall BILAG-2004 scores of A and B) were significantly associated with increase in therapy (odds ratio [OR] 19.3, P < 0.01). The BILAG-2004 and Classic BILAG indices had comparable sensitivity, specificity, PPV, and NPV.

Conclusion

These findings show that the BILAG-2004 index has construct and criterion validity.

Objective

To investigate socioeconomic disparities in access to home health visits and durable medical equipment by persons enrolled in two Medicare managed care health plans.

Data Sources

A telephone survey of 4,613 Medicare managed care enrollees conducted between April and October of 2000 and linked to administrative claims for a subsequent 12-month period.

Study Design

We estimated a series of logistic regression models to determine which socioeconomic factors were related to home health visits and the use of durable medical equipment (DME) among Medicare managed care enrollees.

Principal Findings

Controlling for health and demographic differences, Medicare managed care enrollees in the lowest tertile for nonhousing assets had 50 percent greater odds than those in the highest tertile of having one or more home health visits. All else equal, enrollees with less than a high school education had 30 percent lower odds than those who had graduated from high school of using durable medical equipment.

Conclusions

Medicare managed care enrollees of low socioeconomic status do not appear to have reduced access to home health visits; however, use of durable medical equipment is considerably lower for enrollees with less than a high school education. Physicians and therapists working with Medicare managed care enrollees may want to actively target DME prescriptions to those with educational disadvantages.

Background

In Mozambique, tuberculosis (TB) is thought to be the most common cause of death among antiretroviral therapy (ART) enrollees. Monitoring proportions of enrollees screened for TB, and incidence and determinants of TB during ART can help clinicians and program managers identify program improvement opportunities.

Methodology/Principal Findings

We conducted a retrospective cohort study among a nationally representative sample of the 79,500 adults (>14 years old) initiating ART during 2004–2007 to estimate clinician compliance with TB screening guidelines, factors associated with active TB at ART initiation, and incidence and predictors of documented TB during ART follow-up. Of 94 sites enrolling >50 adults on ART, 30 were selected using probability-proportional-to-size sampling; 2,596 medical records at these sites were randomly selected for abstraction and analysis. At ART initiation, median age of patients was 34, 62% were female, median baseline CD4+ T-cell count was 153/µL, and 11% were taking TB treatment. Proportions of records with TB screening documentation before ART initiation improved from 31% to 66% during 2004–2007 (p<0.001). TB screening compliance varied widely by ART clinic [n = 30, 2%–98% (p<0.001)] and supporting non-Governmental Organization (NGO) [n = 7, 27%–83% (p<0.001)]. Receiving TB treatment at ART enrollment was associated with male sex (p<0.001), weight <45 kg (p<0.001) and CD4<50/µL (p = 0.001). Isoniazid preventive therapy (IPT) was prescribed to <1% of ART enrollees not taking TB treatment. TB incidence during ART was 2.32 cases per 100 person-years. Factors associated with TB incidence included adherence to ART <95% (AHR 2.06; 95% CI, 1.32–3.21).

Conclusion

Variations in TB screening by clinic and NGO may reflect differing investments in TB screening activities. Future scale-up should target under-performing clinics. Scale-up of TB screening at ART initiation, IPT, and ART adherence interventions could significantly reduce incident TB during ART.

OBJECTIVE

Low socioeconomic status (SES) is associated with an increased risk of end-stage renal disease (ESRD) due to diabetes. Because ESRD is a preventable complication of diabetes, the association with SES may be related to limited access to treatment.

RESEARCH DESIGN AND METHODS

In this population-based ecological study, I examined the association between the incidence of ESRD attributed to diabetes and the proportion of hospitalizations with no insurance, Medicaid, or managed care insurance; residence in a primary care provider shortage area or rural area; and rate of hospitalizations for hyperglycemic complications, by ZIP code in California in 2001–2004.

RESULTS

The incidence of ESRD attributed to diabetes was higher in ZIP codes with higher proportions of hospitalizations with no insurance (r = 0.45; P < 0.0001) or Medicaid (r = 0.69; P < 0.0001) and in ZIP codes with higher rates of hospitalizations for hyperglycemic complications (r = 0.27; P < 0.0001). The incidence was lower in ZIP codes with higher proportions of hospitalizations with managed care insurance (r = −0.37; P < 0.0001) and was lower in primary care provider shortage areas and rural locations. In contrast, there were only weak associations between measures of access to care and the incidence of ESRD attributed to polycystic kidney disease, a condition that is not treatable.

CONCLUSIONS

The incidence of ESRD attributed to diabetes is strongly associated with area-based measures of access to care, suggesting that access to treatment partly mediates the association between SES and the incidence of ESRD.

Abstract

Aims

We describe current treatment patterns for early pregnancy failure (EPF) among women enrolled in two Michigan health plans.

Methods

We conducted a retrospective review of EPF treatment among Michigan Medicaid enrollees between January 1, 2001, and December 31, 2004, and enrollees of a university-affiliated health plan between January 1, 2001, and December 31, 2005. Episodes were identified by the presence of a diagnostic code for EPF. Surgical treatment was distinguished from nonsurgical management using procedure codes. Facility charges, procedure, and place of service codes were used to determine whether a procedure was done in an office as opposed to an operating room. Cases without a claim for surgical uterine evacuation were examined for a misoprostol pharmacy claim and, if present, were classified as medical management. Cases without a procedure or pharmacy claim were classified as expectant management.

Results

Respectively, we identified 21,311 and 1,493 episodes of EPF in the Medicaid and university-affiliated health plan databases, respectively. Women enrolled in Medicaid were more likely to be treated with surgery than were enrollees of the university-affiliated health plan (35.3 vs. 18.0%, respectively, p < 0.000). Among Medicaid enrollees, only 0.5% of surgical evacuations occurred in the office, but office procedures were common among enrollees of the university-affiliated health plan (30.5%, p < 0.000). The proportion of cases managed with misoprostol was <1% in both groups. Caucasian race and age were both associated with having a surgical uterine evacuation (p < 0.001).

Conclusions

EPF is primarily being treated with expectant management or surgical evacuation in an operating room and may not reflect evidence-based practices or patient preferences.

Objective

To assess reasons why survey estimates of Medicaid enrollment are 43 percent lower than raw Medicaid program enrollment counts (i.e., “Medicaid undercount”).

Data Sources

Linked 2000–2002 Medicaid Statistical Information System (MSIS) and the 2001–2002 Current Population Survey (CPS).

Data Collection Methods

Centers for Medicare and Medicaid Services provided the Census Bureau with its MSIS file. The Census Bureau linked the MSIS to the CPS data within its secure data analysis facilities.

Study Design

We analyzed how often Medicaid enrollees incorrectly answer the CPS health insurance item and imperfect concept alignment (e.g., inclusion in the MSIS of people who are not included in the CPS sample frame and people who were enrolled in Medicaid in more than one state during the year).

Principal Findings

The extent to which the Medicaid enrollee data were adjusted for imperfect concept alignment reduces the raw Medicaid undercount considerably (by 12 percentage points). However, survey response errors play an even larger role with 43 percent of Medicaid enrollees answering the CPS as though they were not enrolled and 17 percent reported being uninsured.

Conclusions

The CPS is widely used for health policy analysis but is a poor measure of Medicaid enrollment at any time during the year because many people who are enrolled in Medicaid fail to report it and may be incorrectly coded as being uninsured. This discrepancy should be considered when using the CPS for policy research.

Background

This study sought to describe the incidence of transitions into and out of Medicaid, characterize the populations that transition and determine if health insurance instability is associated with changes in healthcare utilization.

Methods

2000-2004 Medical Expenditure Panel Survey (MEPS) was used to identify adults enrolled in Medicaid at any time during the survey period (n = 6,247). We estimate both static and dynamic panel data models to examine the effect of health insurance instability on health care resource utilization.

Results

We find that, after controlling for observed factors like employment and health status, and after specifying a dynamic model that attempts to capture time-dependent unobserved effects, individuals who have multiple transitions into and out of Medicaid have higher emergency room utilization, more office visits, more hospitalizations, and refill their prescriptions less often.

Conclusions

Individuals with more than one transition in health insurance status over the study period were likely to have higher health care utilization than individuals with one or fewer transitions. If these effects are causal, in addition to individual benefits, there are potentially large benefits for Medicaid programs from reducing avoidable insurance instability. These results suggest the importance of including provisions to facilitate continuous enrollment in public programs as the United States pursues health reform.

Objective

This paper measures agreement between survey and administrative measures of race/ethnicity for Medicaid enrollees. Level of agreement and the demographic and health-related characteristics associated with misclassification on the administrative measure are examined.

Data Sources

Minnesota Medicaid enrollee files matched to self-report information from a telephone/mail survey of 4,902 enrollees conducted in 2003.

Study Design

Measures of agreement between the two measures of race/ethnicity are computed. Using logistic regression, we also assess whether misclassification of race/ethnicity on administrative files is associated with demographic factors, health status, health care utilization, or ratings of quality of health care.

Data Extraction

Race/ethnicity fields from administrative Medicaid files were extracted and merged with self-report data.

Principal Findings

The administrative data correctly classified 94 percent of cases on race/ethnicity. Persons who self-identified as Hispanic and those whose home language was English had the greater odds (compared with persons who self-identified as white and those whose home language was not English) of being misclassified in administrative data. Persons classified as unknown/other on administrative data were more likely to self-identify as white.

Conclusions

In this case study in Minnesota, researchers can be reasonably confident that the racial designations on Medicaid administrative data comport with how enrollees self-identify. Moreover, misclassification is not associated with common measures of health status, utilization, and ratings of quality of care. Further replication is recommended given variation in how race information is collected and coded by Medicaid agencies in different states.

Objective

To examine whether known Medicaid enrollees misreport their health insurance coverage in surveys and the extent to which misreports of lack of coverage bias estimates of uninsurance.

Data Source

Primary survey data from the Medicaid Undercount Experiment.

Study Design

Analyze new data from surveys of Medicaid enrollees in California, Florida, and Pennsylvania and summarize existing research examining bias in coverage estimates due to misreports among Medicaid enrollees.

Data Collection Method

Subjects were randomly drawn from Medicaid administrative records and were surveyed by telephone.

Principal Findings and Conclusions

Cumulative evidence shows that a small percentage of Medicaid enrollees mistakenly report being uninsured, resulting in modest upward bias in estimates of uninsurance. A somewhat larger percentage of enrollees report having some other type of coverage than no coverage, biasing Medicaid enrollment estimates downward but not biasing estimates of uninsurance significantly upward. Implications for policy makers' confidence in survey estimates of coverage are discussed.

Background. Type of health insurance is an important mediator of medical outcomes in the United States. Medicaid, a jointly sponsored Federal/State programme, is designed to serve medically needy individuals. How these patients differ from non-Medicaid-enrolled incident dialysis patients and how these differences have changed over time have not been systematically examined.

Methods. Using data from the United States Renal Data System, we identified individuals initiating dialysis from 1995 to 2004 and categorized their health insurance status. Longitudinal trends in demographic, risk behaviour, functional, comorbidity, laboratory and dialysis modality factors, as reported on the Medical Evidence Form (CMS-2728), were examined in all insurance groups. Polychotomous logistic regression was used to estimate adjusted generalized ratios (AGRs) for these factors by insurance status, with Medicaid as the referent insurance group.

Results. Overall, males constitute a growing percentage of both Medicaid and non-Medicaid patients, but in contrast to other insurance groups, Medicaid has a higher proportion of females. Non-Caucasians also constitute a higher proportion of Medicaid patients than non-Medicaid patients. Body mass index increased in all groups over time, and all groups witnessed a significant decrease in initiation on peritoneal dialysis. Polychotomous regression showed generally lower AGRs for minorities, risk behaviours and functional status, and higher AGRs for males, employment and self-care dialysis, for non-Medicaid insurance relative to Medicaid.

Conclusions. While many broad parallel trends are evident in both Medicaid and non-Medicaid incident dialysis patients, many important differences between these groups exist. These findings could have important implications for policy planners, providers and payers.