Public health insurance in Oregon: underenrollment of eligible children and parental confusion about children's enrollment status

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

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

Using the electronic health record for assessment of health insurance in community health centers

OBJECTIVE

To demonstrate use of the electronic health record (EHR) for health insurance surveillance and identify factors associated with lack of coverage.

MATERIALS AND METHODS

Using EHR data, we conducted a retrospective, longitudinal cohort study of adult patients (n = 279 654) within a national network of community health centers during a 2-year period (2012-2013).

RESULTS

Factors associated with higher odds of being uninsured (vs Medicaid-insured) included: male gender, age >25 years, Hispanic ethnicity, income above the federal poverty level, and rural residence (P < .01 for all). Among patients with no insurance at their initial visit (n = 114 000), 50% remained uninsured for every subsequent visit.

DISCUSSION

During the 2 years prior to 2014, many patients utilizing community health centers were unable to maintain stable health insurance coverage.

CONCLUSION

As patients gain access to health insurance under the Affordable Care Act, the EHR provides a novel approach to help track coverage and support vulnerable patients in gaining and maintaining coverage.

Innovative methods for parents and clinics to create tools for kids' care (IMPACCT Kids' Care) study protocol

BACKGROUND

Despite expansions in public health insurance, many children remain uninsured or experience gaps in coverage. Community health centers (CHCs) provide primary care to many children at risk for uninsurance and are well-positioned to help families obtain and retain children's coverage. Recent advances in health information technology (HIT) capabilities provide the means to create tools that could enhance CHCs' insurance outreach efforts.

OBJECTIVE

To present the study design, baseline patient characteristics, variables, and statistical methods for the Innovative Methods for Parents And Clinics to Create Tools for Kids' Care (IMPACCT Kids' Care) study.

METHODS/DESIGN

In this mixed methods study, we will design, test and refine health insurance outreach HIT tools through a user-centered process. We will then implement the tools in four CHCs and evaluate their effectiveness and barriers and facilitators to their implementation. To measure effectiveness, we will quantitatively assess health insurance coverage continuity and utilization of healthcare services for pediatric patients in intervention CHCs compared to matched control sites using electronic health record (EHR) and Oregon Medicaid administrative data over 18months pre- and 18months post-implementation (n=34,867 children). We will also qualitatively assess the implementation process to understand how the tools fit into the clinics' workflows and the CHC staff experiences with the tools.

CONCLUSIONS

This study creates, implements, and evaluates health insurance outreach HIT tools. The use of such tools will likely improve care delivery and health outcomes, reduce healthcare disparities for vulnerable populations, and enhance overall healthcare system performance. ClinicalTrials.gov Identifier: NCT02298361.

Health insurance coverage and healthcare utilization among infants of mothers in the national methadone maintenance treatment program in Taiwan

BACKGROUND

Children of heroin-using women have a higher risk of unfavorable health and developmental outcomes. Although methadone maintenance treatment (MMT) has been widely used to treat heroin-using pregnant women, potential effects on accessibility and utilization of healthcare service for their offspring are less explored.

METHODS

We used four national registry and health insurance datasets in Taiwan from 2004 to 2009 to form a population-based matched retrospective cohort study. A total of 1056 neonates born to women in the MMT program (857 born before mother's enrollment in the MMT program [BM], 199 born after mother's enrollment in the MMT program [AM]) was established; 10547 matched non-drug [ND] exposed neonates were identified for comparison. Outcome variables included offspring's health insurance coverage and utilization of preventive, outpatient, and emergency room cares in the first year after birth.

RESULTS

Infants born to mothers on MMT were more likely to have no or incomplete insurance coverage (BM: adjusted odds ratio [aOR]=1.29, 95% CI: 1.10-1.53; AM: aOR=1.56, 95% CI: 1.14-2.13) as compared with the socioeconomic status-matched ND group. The BM infants appeared to have fewer preventive care visits (adjusted relative risk [aRR]=0.85, 95% CI: 0.80-0.90), whereas the AM infants utilized outpatient and emergency room services more frequently (outpatient: aRR=1.11, 95% CI: 1.01-1.23; emergency: aRR=1.46, 95% CI: 1.11-1.90).

CONCLUSIONS

Addiction treatment and harm reduction programs for women of childbearing ages should be delivered in the coordinated framework that ensures comprehensiveness and continuity in healthcare and social services.

Effect of expanding medicaid for parents on children's health insurance coverage: lessons from the Oregon experiment

IMPORTANCE

In the United States, health insurance is not universal. Observational studies show an association between uninsured parents and children. This association persisted even after expansions in child-only public health insurance. Oregon's randomized Medicaid expansion for adults, known as the Oregon Experiment, created a rare opportunity to assess causality between parent and child coverage.

OBJECTIVE

To estimate the effect on a child's health insurance coverage status when (1) a parent randomly gains access to health insurance and (2) a parent obtains coverage.

DESIGN, SETTING, AND PARTICIPANTS

Oregon Experiment randomized natural experiment assessing the results of Oregon's 2008 Medicaid expansion. We used generalized estimating equation models to examine the longitudinal effect of a parent randomly selected to apply for Medicaid on their child's Medicaid or Children's Health Insurance Program (CHIP) coverage (intent-to-treat analyses). We used per-protocol analyses to understand the impact on children's coverage when a parent was randomly selected to apply for and obtained Medicaid. Participants included 14409 children aged 2 to 18 years whose parents participated in the Oregon Experiment.

EXPOSURES

For intent-to-treat analyses, the date a parent was selected to apply for Medicaid was considered the date the child was exposed to the intervention. In per-protocol analyses, exposure was defined as whether a selected parent obtained Medicaid.

MAIN OUTCOMES AND MEASURES

Children's Medicaid or CHIP coverage, assessed monthly and in 6-month intervals relative to their parent's selection date.

RESULTS

In the immediate period after selection, children whose parents were selected to apply significantly increased from 3830 (61.4%) to 4152 (66.6%) compared with a nonsignificant change from 5049 (61.8%) to 5044 (61.7%) for children whose parents were not selected to apply. Children whose parents were randomly selected to apply for Medicaid had 18% higher odds of being covered in the first 6 months after parent's selection compared with children whose parents were not selected (adjusted odds ratio [AOR]=1.18; 95% CI, 1.10-1.27). The effect remained significant during months 7 to 12 (AOR=1.11; 95% CI, 1.03-1.19); months 13 to 18 showed a positive but not significant effect (AOR=1.07; 95% CI, 0.99-1.14). Children whose parents were selected and obtained coverage had more than double the odds of having coverage compared with children whose parents were not selected and did not gain coverage (AOR=2.37; 95% CI, 2.14-2.64).

CONCLUSIONS AND RELEVANCE

Children's odds of having Medicaid or CHIP coverage increased when their parents were randomly selected to apply for Medicaid. Children whose parents were selected and subsequently obtained coverage benefited most. This study demonstrates a causal link between parents' access to Medicaid coverage and their children's coverage.

Health information technology: an untapped resource to help keep patients insured

The recent confluence of: (1) changing state and national insurance-related policies, and (2) the rapid growth in electronic health record (EHR) use, yields an unprecedented opportunity for patient-centered medical homes (PCMHs) and other primary care practices or care settings to use health information technology (HIT) and health information exchange (HIE) in novel ways to impact patient health. We propose that HIT is an untapped resource for supporting clinic-based efforts to help eligible patients obtain and maintain insurance coverage. This commentary presents a conceptual model and guiding principles for this idea. Additionally, it describes insurance support tools that could be used to conduct 'inreach' and 'outreach' with patients around health insurance, similar to how HIT is used to manage chronic disease and panels of patients, and to improve population health outcomes.

Massachusetts health reform and access for children with special health care needs

BACKGROUND AND OBJECTIVES

Children with special health care needs (CSHCN) face unique challenges in accessing affordable health care. Massachusetts implemented major health reform in 2006; little is known about the impact of this state's health reform on uninsurance, access to care, and financial protection for privately and publicly insured CSHCN.

METHODS

We used a difference-in-differences (DD) approach to compare uninsurance, access to primary and specialty care, and financial protection in Massachusetts versus other states and Washington, DC before and after Massachusetts health reform. Parent-reported data were used from the 2005-2006 and 2009-2010 National Survey of Children with Special Health Care Needs and adjusted for age, gender, race/ethnicity, non-English language at home, and functional difficulties.

RESULTS

Postreform, living in Massachusetts was not associated with significant decreases in uninsurance or increases in access to primary care for CSHCN. For privately insured CSHCN, Massachusetts was associated with increased access to specialists (DD = 6.0%; P ≤ .001) postreform. For publicly insured CSHCN, however, there was a significant decrease in access to prescription medications (DD = -7.2%; P = .003) postreform. Living in Massachusetts postreform was not associated with significant changes in financial protection compared with privately or publicly insured CSHCN in other states.

CONCLUSIONS

Massachusetts health reform likely improved access to specialists for privately insured CSHCN but did not decrease instances of uninsurance, increase access to primary care, or improve financial protection for CSHCN in general. Comparable provisions within the Affordable Care Act may produce similarly modest outcomes for CSHCN.

Trends in health insurance status of US children and their parents, 1998-2008

In the United States (US), a parent's health insurance status affects their children's access to health care making it critically important to examine trends in coverage for both children and parents. To gain a better understanding of these health insurance trends, we assessed the coverage status for both children and their parents over an 11-year time period (1998-2008). We conducted secondary analysis of data from the nationally-representative Medical Expenditure Panel Survey. We examined frequency distributions for full-year child/parent insurance coverage status by family income, conducted Chi-square tests of association to assess significant differences over time, and explored factors associated with full-year insurance coverage status in 1998 and in 2008 using logistic regression. When considering all income groups together, the group with both child and parent insured decreased from 72.4 % in 1998 to 67.2 % in 2008. When stratified by income, the percentage of families with an insured child, but an uninsured parent increased for low-income families from 12.4 to 25.1 % and from 3.8 to 7.1 % for middle-income families when comparing 1998-2008. In regression analyses, family income remained the strongest characteristic associated with a lack of full-year health insurance. As future policy reforms take shape, it will be important to look beyond children's coverage patterns to assess whether gains have been made in overall family coverage.

The ADVANCE network: accelerating data value across a national community health center network

The ADVANCE (Accelerating Data Value Across a National Community Health Center Network) clinical data research network (CDRN) is led by the OCHIN Community Health Information Network in partnership with Health Choice Network and Fenway Health. The ADVANCE CDRN will ‘horizontally’ integrate outpatient electronic health record data for over one million federally qualified health center patients, and ‘vertically’ integrate hospital, health plan, and community data for these patients, often under-represented in research studies. Patient investigators, community investigators, and academic investigators with diverse expertise will work together to meet project goals related to data integration, patient engagement and recruitment, and the development of streamlined regulatory policies. By enhancing the data and research infrastructure of participating organizations, the ADVANCE CDRN will serve as a ‘community laboratory’ for including disadvantaged and vulnerable patients in patient-centered outcomes research that is aligned with the priorities of patients, clinics, and communities in our network.

Recent health insurance trends for US families: children gain while parents lose

In the past decade, political and economic changes in the United States (US) have affected health insurance coverage for children and their parents. Most likely these policies have differentially affected coverage patterns for children (versus parents) and for low-income (versus high-income) families. We aimed to examine--qualitatively and quantitatively--the impact of changing health insurance coverage on US families. Primary data from interviews with Oregon families (2008-2010) were analyzed using an iterative process. Qualitative findings guided quantitative analyses of secondary data from the nationally-representative Medical Expenditure Panel Survey (MEPS) (1998-2009); we used Joinpoint Regression to assess average annual percent changes (AAPC) in health insurance trends, examining child and parent status and type of coverage stratified by income. Interviewees reported that although children gained coverage, parents lost coverage. MEPS analyses confirmed this trend; the percentage of children uninsured all year decreased from 9.6 % in 1998 to 6.1 % in 2009; AAPC = -3.1 % (95 % confidence interval [CI] from -5.1 to -1.0), while the percentage of parents uninsured all year rose from 13.6 % in 1998 to 17.1 % in 2009, AAPC = 2.7 % (95 % CI 1.8-3.7). Low-income families experienced the most significant changes in coverage. Between 1998 and 2009, as US children gained health insurance, their parents lost coverage. Children's health is adversely affected when parents are uninsured. Investigation beyond children's coverage rates is needed to understand how health insurance policies and changing health insurance coverage trends are impacting children's health.

Using electronic health records to conduct children's health insurance surveillance

OBJECTIVE

Health insurance options are changing. Electronic health record (EHR) databases present new opportunities for providers to track the insurance coverage status of their patients. This study demonstrates the use of EHR data for this purpose.

METHODS

Using EHR data from the OCHIN Network of community health centers, we conducted a retrospective cohort study of data from children presenting to a community health center in 2010-2011 (N = 185,959). We described coverage patterns for children, used generalized estimating equation logistic regression to compare uninsured children with those with insurance, and assessed insurance status at subsequent visits.

RESULTS

At their first visit during the study period, 21% of children had no insurance. Among children uninsured at a first visit, 30% were uninsured at all subsequent visits. In multivariable analyses (including gender, age, race, ethnicity, language, income, location, and type of clinic), we observed significant differences in the characteristics of children who were uninsured as compared with those with insurance coverage. For example, compared with white, non-Hispanic children, nonwhite and/or Hispanic children had lower odds of being uninsured than having Medicaid/Medicare (adjusted odds ratio, 0.73; 95% confidence interval: 0.71-0.75) but had higher odds of being uninsured than having commercial insurance (adjusted odds ratio, 1.50; 95% confidence interval: 1.44-1.56).

CONCLUSIONS

Nearly one-third of children uninsured at their first visit remained uninsured at all subsequent visits, which suggests a need for clinics to conduct insurance surveillance and develop mechanisms to assist patients with obtaining coverage. EHRs can facilitate insurance surveillance and inform interventions aimed at helping patients obtain and retain coverage.

Changes in health insurance for US children and their parents: comparing 2003 to 2008

BACKGROUND AND OBJECTIVES

Recent policy changes have affected access to health insurance for families in the United States. Private health insurance premiums have increased, and state Medicaid programs have cut back coverage for adults. Concurrently, the Children's Health Insurance Program has made public insurance available to more children. We aimed to better understand how child and parent health insurance coverage patterns may have changed as a result of these policies.

METHODS

We analyzed data from the nationally representative Medical Expenditure Panel Survey, comparing cohorts from 2003 and 2008. We assessed cross-sectional and full-year coverage patterns for child/parent pairs, stratified by income. We conducted chi-square tests to assess significant differences in coverage over time.

RESULTS

Middle-income child/parent pairs had the most significant changes in their coverage patterns. For example, those with full-year health insurance coverage significantly decreased from 85.4% in 2003 to 80.6% in 2008. There was also an increase in uninsured middle-income child/parent pairs for the full year (5.6% in 2003 to 8.3% in 2008) and an increase in pairs who had a gap in coverage (9.7% in 2003 to 13.0% in 2008).

CONCLUSIONS

The percentage of middle-income child/parent pairs who were lacking insurance, for part or all of the year, has risen, suggesting that these families may be caught between affording private coverage and being eligible for public coverage. Unless private coverage becomes more affordable, insurance instability among middle-income families may persist despite the passage of the Patient Protection and Affordable Care Act.

Characteristics of children eligible for public health insurance but uninsured: data from the 2007 National Survey of Children's Health

To describe the state variation, demographic and family characteristics of children eligible for public health insurance but uninsured. Using data from the National Survey of Children's Health we selected a subset of children living in households with incomes <200 % of the federal poverty level, who are generally eligible for Medicaid or CHIP. We used multiple logistic regression to examine associations between insurance status among this group of eligible children and certain demographic factors, family characteristics, and state of residence. In adjusted models children aged 6-11 and 12-17 years were more likely to be eligible but uninsured compared to those aged 0-5 years (AOR 1.57; 95 % CI 1.15-2.16 and AOR 1.93; 95 % CI 1.41-2.64). Children who received school lunch (AOR 0.67; 95 % CI 0.52-0.86) and SNAP (AOR 0.33; 95 % CI 0.24-0.46) were less likely to be eligible but uninsured compared to those children not receiving those needs based services; however, a majority (58.7 %) of eligible uninsured children were enrolled in the school lunch program. Five states (Texas, California, Florida, Georgia, New York) accounted for 46 % of the eligible uninsured children. Vermont had the lowest adjusted estimate of eligible uninsured children (3.6 %) and Nevada had the highest adjusted estimate (35.5 %). Using nationally representative data we have identified specific state differences, demographic and household characteristics that could help guide federal and local initiatives to improve public health insurance enrollment for children who are eligible but uninsured.