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Objective: We sought to understand how Affordable Care Act (ACA) Medicaid expansion insurance coverage gains are associated with changes in diabetes-related biomarkers., Research Design and Methods: This was a retrospective observational cohort study using electronic health record data from 178 community health centers (CHCs) in the ADVANCE (Accelerating Data Value Across a National Community Health Center Network) network. We assessed changes in diabetes-related biomarkers among adult patients with diabetes in 10 Medicaid expansion states ( n = 25,279), comparing newly insured with continuously insured, discontinuously insured, and continuously uninsured patients pre- to post-ACA expansion. Primary outcomes included changes from 24 months pre- to 24 months post-ACA in glycosylated hemoglobin (HbA 1c ), systolic (SBP) and diastolic (DBP) blood pressure, and LDL cholesterol levels., Results: Newly insured patients exhibited a reduction in adjusted mean HbA 1c levels (8.24% [67 mmol/mol] to 8.17% [66 mmol/mol]), which was significantly different from continuously uninsured patients, whose HbA 1c levels increased (8.12% [65 mmol/mol] to 8.29% [67 mmol/mol]; difference-in-differences [DID] -0.24%; P < 0.001). Newly insured patients showed greater reductions than continuously uninsured patients in adjusted mean SBP (DID -1.8 mmHg; P < 0.001), DBP (DID -1.0 mmHg; P < 0.001), and LDL (DID -3.3 mg/dL; P < 0.001). Among patients with elevated HbA 1c in the 3 months prior to expansion, newly insured patients were more likely than continuously uninsured patients to have a controlled HbA 1c measurement by 24 months post-ACA (hazard ratio 1.25; 95% CI 1.02-1.54]., Conclusions: Post-ACA, newly insured patients had greater improvements in diabetes-related biomarkers than continuously uninsured, discontinuously insured, or continuously insured patients. Findings suggest that health insurance gain via ACA facilitates access to appropriate diabetes care, leading to improvements in diabetes-related biomarkers., (© 2020 by the American Diabetes Association.)

Background: This study assessed the impact of Affordable Care Act (ACA) Medicaid expansion on health insurance rates and receipt of cardiovascular-related preventive screenings (body mass index, glycated hemoglobin [HbA1c], low-density lipoproteins, and blood pressure) for cancer survivors seen in community health centers (CHCs)., Methods: This study identified cancer survivors aged 19 to 64 years with at least 3 CHC visits in 13 states from the Accelerating Data Value Across a National Community Health Center Network (ADVANCE). Via inverse probability of treatment weighting multilevel multinomial modeling, insurance rates before and after the ACA were estimated by whether a patient lived in a state that expanded Medicaid, and changes between a pre-ACA time period and 2 post-ACA time periods were assessed., Results: The weighted estimated sample size included 409 cancer survivors in nonexpansion states and 2650 in expansion states. In expansion states, the proportion of uninsured cancer survivors decreased significantly from 20.3% in 2012-2013 to 4.5%in 2016-2017, and the proportion of those with Medicaid coverage increased significantly from 38.8% to 55.6%. In nonexpansion states, there was a small decrease in uninsurance rates (from 33.6% in 2012-2013 to 22.5% in 2016-2017). Cardiovascular-related preventive screening rates increased over time in both expansion and nonexpansion states: HbA1c rates nearly doubled from the pre-ACA period (2012-2013) to the post-ACA period (2016-2017) in expansion states (from 7.2% to 12.8%) and nonexpansion states (from 9.3% to 16.8%)., Conclusions: This study found a substantial decline in uninsured visits among cancer survivors in Medicaid expansion states. Yet, 1 in 5 cancer survivors living in a state that did not expand Medicaid remained uninsured. Several ACA provisions likely worked together to increase cardiovascular-related preventive screening rates for cancer survivors seen in CHCs., (© 2020 Oregon Health & Science University. Cancer published by Wiley Periodicals LLC on behalf of American Cancer Society.)

Background: In addition to delivering vital health care to millions of patients in the United States, community health centers (CHCs) provide needed health insurance outreach and enrollment support to their communities. We developed a health insurance enrollment tracking tool integrated within the electronic health record (EHR) and conducted a hybrid implementation-effectiveness trial in a CHC-based research network to assess tool adoption using two implementation strategies., Methods: CHCs were recruited from the OCHIN practice-based research network. Seven health center systems (23 CHC clinic sites) were recruited and randomized to receive basic educational materials alone (Arm 1), or these materials plus facilitation (Arm 2) during the 18-month study period, September 2016-April 2018. Facilitation consisted of monthly contacts with clinic staff and utilized audit and feedback and guided improvement cycles. We measured total and monthly tool utilization from the EHR. We conducted structured interviews of CHC staff to assess factors associated with tool utilization. Qualitative data were analyzed using an immersion-crystallization approach with barriers and facilitators identified using the Consolidated Framework for Implementation Research., Results: The majority of CHCs in both study arms adopted the enrollment tool. The rate of tool utilization was, on average, higher in Arm 2 compared to Arm 1 (20.0% versus 4.7%, p < 0.01). However, by the end of the study period, the rate of tool utilization was similar in both arms; and observed between-arm differences in tool utilization were largely driven by a single, large health center in Arm 2. Perceived relative advantage of the tool was the key factor identified by clinic staff as driving tool utilization. Implementation climate and leadership engagement were also associated with tool utilization., Conclusions: Using basic education materials and low-intensity facilitation, CHCs quickly adopted an EHR-based tool to support critical outreach and enrollment activities aimed at improving access to health insurance in their communities. Though facilitation carried some benefit, a CHC's perceived relative advantage of the tool was the primary driver of decisions to implement the tool., Trial Registration: ClinicalTrials.gov: NCT02355262, Posted February 4, 2015.

This quasi-experimental study evaluated racial/ethnic disparities in health insurance and differences in visits post-versus pre-Affordable Care Act (ACA) Medicaid expansion. We utilized electronic health record data from a population of patients with diabetes aged 19-64 seen in community health centers (CHCs). We used generalized estimating equation Poisson models to estimate incidence rates of insurance type and visits post-(1/1/2014-12/31/2015) versus pre-(1/1/13-12/31/13) ACA, stratified by racial/ethnic group. We assessed difference-in-differences (DD) and difference-in-difference-in-differences (DDD). The relative disparity in uninsured visits increased between Hispanic and non-Hispanic Whites in expansion states (DD=1.93; 95% CI=1.41, 2.64); the magnitude was greater in expansion compared with non-expansion states (DDD=1.84, 95% CI=1.32, 2.56), yet uninsured rates were lower in expansion compared with non-expansion states. We found few changes in visits. Results suggest that the ACA Medicaid expansion increased health insurance coverage and that while some racial/ethnic disparities were improved, some remained.

Background: Children with health insurance have increased access to healthcare and receive higher quality care. However, despite recent initiatives expanding children's coverage, many remain uninsured. New technologies present opportunities for helping clinics provide enrollment support for patients. We developed and tested electronic health record (EHR)-based tools to help clinics provide children's insurance assistance., Methods: We used mixed methods to understand tool adoption, and to assess impact of tool use on insurance coverage, healthcare utilization, and receipt of recommended care. We conducted intent-to-treat (ITT) analyses comparing pediatric patients in 4 intervention clinics (n = 15,024) to those at 4 matched control clinics (n = 12,227). We conducted effect-of-treatment-on-the-treated (ETOT) analyses comparing intervention clinic patients with tool use (n = 2240) to intervention clinic patients without tool use (n = 12,784)., Results: Tools were used for only 15% of eligible patients. Qualitative data indicated that tool adoption was limited by: (1) concurrent initiatives that duplicated the work associated with the tools, and (2) inability to obtain accurate insurance coverage data and end dates. The ITT analyses showed that intervention clinic patients had higher odds of gaining insurance coverage (adjusted odds ratio [aOR] = 1.32, 95% confidence interval [95%CI] 1.14-1.51) and lower odds of losing coverage (aOR = 0.77, 95%CI 0.68-0.88), compared to control clinic patients. Similarly, ETOT findings showed that intervention clinic patients with tool use had higher odds of gaining insurance (aOR = 1.83, 95%CI 1.64-2.04) and lower odds of losing coverage (aOR = 0.70, 95%CI 0.53-0.91), compared to patients without tool use. The ETOT analyses also showed higher rates of receipt of return visits, well-child visits, and several immunizations among patients for whom the tools were used., Conclusions: This pragmatic trial, the first to evaluate EHR-based insurance assistance tools, suggests that it is feasible to create and implement tools that help clinics provide insurance enrollment support to pediatric patients. While ITT findings were limited by low rates of tool use, ITT and ETOT findings suggest tool use was associated with better odds of gaining and keeping coverage. Further, ETOT findings suggest that use of such tools may positively impact healthcare utilization and quality of pediatric care., Trial Registration: ClinicalTrials.gov, NCT02298361 ; retrospectively registered on November 5, 2014.

Background: Health information technology (HIT) provides new opportunities for primary care clinics to support patients with health insurance enrollment and maintenance. We present strategies, early findings, and clinic reflections on the development and implementation of HIT tools designed to streamline and improve health insurance tracking at community health centers., Methods: We are conducting a hybrid implementation-effectiveness trial to assess novel health insurance enrollment and support tools in primary care clinics. Twenty-three clinics in 7 health centers from the OCHIN practice-based research network are participating in the implementation component of the trial. Participating health centers were randomized to 1 of 2 levels of implementation support, including arm 1 (n = 4 health centers, 11 clinic sites) that received HIT tools and educational materials and arm 2 (n = 3 health centers, 12 clinic sites) that received HIT tools, educational materials, and individualized implementation support with a practice coach. We used mixed-methods (qualitative and quantitative) to assess tool use rates and facilitators and barriers to implementation in the first 6 months., Results: Clinics reported favorable attitudes toward the HIT tools, which replace less efficient and more cumbersome processes, and reflect on the importance of clinic engagement in tool development and refinement. Five of 7 health centers are now regularly using the tools and are actively working to increase tool use. Six months after formal implementation, arm 2 clinics demonstrated higher rates of tool use, compared with arm 1., Discussion: These results highlight the value of early clinic input in tool development, the potential benefit of practice coaching during HIT tool development and implementation, and a novel method for coupling a hybrid implementation-effectiveness design with principles of improvement science in primary care research., Competing Interests: Conflict of interest: none declared., (© Copyright 2018 by the American Board of Family Medicine.)

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

Background: It is crucial to understand the impact of the Affordable Care Act (ACA). This study assesses changes in insurance status of patients visiting community health centers (CHCs) comparing states that expanded Medicaid to those that did not., Methods: Electronic health record data on 875,571 patients aged 19 to 64 years with ≥ 1 visit between 2012 and 2015 in 412 primary care CHCs in 9 expansion and 4 nonexpansion states. We assessed changes in rates of total, uninsured, Medicaid-insured, and privately insured primary care and preventive care visits; immunizations administered, and medications ordered., Results: Rates of uninsured visits decreased pre- to post-ACA, with greater drops in expansion (-57%) versus nonexpansion (-20%) states. Medicaid-insured visits increased 60% in expansion states while remaining unchanged in nonexpansion states. Privately insured visits were 2.7 times higher post-ACA in nonexpansion states with no increase in expansion states. Comparing 2015 with 2014: Uninsured visit rates continued to decrease in expansion (-28%) and nonexpansion states (-19%), Medicaid-insured rates did not significantly increase, and privately insured visits increased in nonexpansion states but did not change in expansion states., Conclusions: Medicaid expansion and subsidies to purchase private coverage likely increased the accessibility of health insurance for patients who had previously not been able to access coverage.

Background: Understanding the impact of health insurance is critical, particularly in the era of Affordable Care Act Medicaid expansion. The electronic health record (EHR) provides new opportunities to quantify health outcomes., Objective: To assess changes in biomarkers of chronic disease among community health center (CHC) patients who gained Medicaid coverage with the Oregon Medicaid expansion (2008-2011)., Design: Prospective cohort. Patients were followed for 24 months, and rate of mean biomarker change was calculated. Time to a controlled follow-up measurement was compared using Cox regression models., Setting/patients: Using EHR data from OCHIN (a non-profit network of CHCs) linked to state Medicaid data, we identified three cohorts of patients with uncontrolled chronic conditions (diabetes, hypertension, and hyperlipidemia). Within these cohorts, we included patients who gained Medicaid coverage along with a propensity score-matched comparison group who remained uninsured (diabetes n = 608; hypertension n = 1244; hyperlipidemia n = 546)., Main Measures: Hemoglobin A1c (HbA1c) for the diabetes cohort, systolic and diastolic blood pressure (SBP and DBP, respectively) for the hypertension cohort, and low-density lipoprotein (LDL) for the hyperlipidemia cohort., Key Results: All cohorts improved over time. Compared to matched uninsured patients, adults in the diabetes and hypertension cohorts who gained Medicaid coverage were significantly more likely to have a follow-up controlled measurement (hazard ratio [HR] =1.26, p = 0.020; HR = 1.35, p < 0.001, respectively). No significant difference was observed in the hyperlipidemia cohort (HR = 1.09, p = 0.392)., Conclusions: OCHIN patients with uncontrolled chronic conditions experienced objective health improvements over time. In two of three chronic disease cohorts, those who gained Medicaid coverage were more likely to achieve a controlled measurement than those who remained uninsured. These findings demonstrate the effective care provided by CHCs and the importance of health insurance coverage within a usual source of care setting., Clinical Trials Registration: NCT02355132 [ https://clinicaltrials.gov/ct2/show/NCT02355132 ].

Background: Changes in health insurance policies have increased coverage opportunities, but enrollees are required to annually reapply for benefits which, if not managed appropriately, can lead to insurance gaps. Electronic health records (EHRs) can automate processes for assisting patients with health insurance enrollment and re-enrollment., Objective: We describe community health centers' (CHC) workflow, documentation, and tracking needs for assisting families with insurance application processes, and the health information technology (IT) tool components that were developed to meet those needs., Method: We conducted a qualitative study using semi-structured interviews and observation of clinic operations and insurance application assistance processes. Data were analyzed using a grounded theory approach. We diagramed workflows and shared information with a team of developers who built the EHR-based tools., Results: Four steps to the insurance assistance workflow were common among CHCs: 1) Identifying patients for public health insurance application assistance; 2) Completing and submitting the public health insurance application when clinic staff met with patients to collect requisite information and helped them apply for benefits; 3) Tracking public health insurance approval to monitor for decisions; and 4) assisting with annual health insurance reapplication. We developed EHR-based tools to support clinical staff with each of these steps., Conclusion: CHCs are uniquely positioned to help patients and families with public health insurance applications. CHCs have invested in staff to assist patients with insurance applications and help prevent coverage gaps. To best assist patients and to foster efficiency, EHR based insurance tools need comprehensive, timely, and accurate health insurance information.

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., (© The Author 2016. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com.)

Objective: To examine trends in health insurance type among US children and their parents., Methods: Using the Medical Expenditure Panel Survey (1998-2011), we linked each child (n = 120,521; weighted n ≈ 70 million) with his or her parent or parents and assessed patterns of full-year health insurance type, stratified by income. We examined longitudinal insurance trends using joinpoint regression and further explored these trends with adjusted regression models., Results: When comparing 1998 to 2011, the percentage of low-income families with both child and parent or parents privately insured decreased from 29.2% to 19.1%, with an estimated decline of -0.86 (95% confidence interval, -1.10, -0.63) unadjusted percentage points per year; middle-income families experienced a drop from 74.5% to 66.3%, a yearly unadjusted percentage point decrease of -0.73 (95% confidence interval, -0.98, -0.48). The discordant pattern of publicly insured children with uninsured parents increased from 10.4% to 27.2% among low-income families and from 1.4% to 6.7% among middle-income families. Results from adjusted models were similar to joinpoint regression findings., Conclusions: During the past decade, low- and middle-income US families experienced a decrease in the percentage of child-parent pairs with private health insurance and pairs without insurance. Concurrently, there was a rise in discordant coverage patterns-mainly publicly insured children with uninsured parents., (Copyright © 2016 Academic Pediatric Association. Published by Elsevier Inc. All rights reserved.)

Background: Patients with gaps in health insurance coverage often defer or forgo cancer prevention services. These delays in cancer detection and diagnoses lead to higher rates of morbidity and mortality and increased costs. Recent advances in health information technology (HIT) create new opportunities to enhance insurance support services that reduce coverage gaps through automated processes applied in healthcare settings. This study will assess the implementation of insurance support HIT tools and their effectiveness at improving patients' insurance coverage continuity and cancer screening rates., Methods/design: This study uses a hybrid cluster-randomized design-a combined effectiveness and implementation trial-in community health centers (CHCs) in the USA. Eligible CHC clinic sites will be randomly assigned to one of two groups in the trial's implementation component: tools + basic training (Arm I) and tools + enhanced training + facilitation (Arm II). A propensity score-matched control group of clinics will be selected to assess the tools' effectiveness. Quantitative analyses of the tools' impact will use electronic health record and Medicaid data to assess effectiveness. Qualitative data will be collected to evaluate the implementation process, understand how the HIT tools are being used, and identify facilitators and barriers to their implementation and use., Discussion: This study will test the effectiveness of HIT tools to enhance insurance support in CHCs and will compare strategies for facilitating their implementation in "real-world" practice settings. Findings will inform further development and, if indicated, more widespread implementation of insurance support HIT tools., Trial Registration: Clinical trial NTC02355262.

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.

Objective: To validate electronic health record (EHR) insurance information for low-income pediatric patients at Oregon community health centers (CHCs), compared to reimbursement data and Medicaid coverage data., Materials and Methods: Subjects Children visiting any of 96 CHCs (N = 69 189) from 2011 to 2012. Analysis The authors measured correspondence (whether or not the visit was covered by Medicaid) between EHR coverage data and (i) reimbursement data and (ii) coverage data from Medicaid., Results: Compared to reimbursement data and Medicaid coverage data, EHR coverage data had high agreement (87% and 95%, respectively), sensitivity (0.97 and 0.96), positive predictive value (0.88 and 0.98), but lower kappa statistics (0.32 and 0.49), specificity (0.27 and 0.60), and negative predictive value (0.66 and 0.45). These varied among clinics., Discussion/conclusions: EHR coverage data for children had a high overall correspondence with Medicaid data and reimbursement data, suggesting that in some systems EHR data could be utilized to promote insurance stability in their patients. Future work should attempt to replicate these analyses in other settings., (© The Author 2015. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com.)

To identify predictors of coverage continuity for United States children and assess how they have changed in the first 12 years since implementation of the Children's Health Insurance Program in 1997. Using data from the nationally-representative Medical Expenditure Panel Survey, we used logistic regression to identify predictors of discontinuity in 1998 and 2009 and compared differences between the 2 years. Having parents without continuous coverage was the greatest predictor of a child's coverage gap in both 1998 and 2009. Compared to children with at least one parent continuously covered, children whose parents did not have continuous coverage had a significantly higher relative risk (RR) of a coverage gap [RR 17.96, 95 % confidence interval (CI) 14.48-22.29 in 1998; RR 12.88, 95 % CI 10.41-15.93 in 2009]. In adjusted models, parental continuous coverage was the only significant predictor of discontinuous coverage for children (with one exception in 2009). The magnitude of the pattern was higher for privately-insured children [adjusted relative risk (aRR) 29.17, 95 % CI 20.99-40.53 in 1998; aRR 25.54, 95 % CI 19.41-33.61 in 2009] than publicly-insured children (aRR 5.72, 95 % CI 4.06-8.06 in 1998; aRR 4.53, 95 % CI 3.40-6.04 in 2009). Parental coverage continuity has a major influence on children's coverage continuity; this association remained even after public health insurance expansions for children. The Affordable Care Act will increase coverage for many adults; however, 'churning' on and off programs due to income fluctuations could result in coverage discontinuities for parents. If parental coverage instability persists, these discontinuities may continue to have a negative impact on children's coverage stability as well.

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.

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., (© 2014 Annals of Family Medicine, Inc.)

Objectives: We examined the association between insurance continuity and human papillomavirus (HPV) vaccine uptake in a network of federally qualified health clinics (FQHCs)., Methods: We analyzed retrospective electronic health record data for females, aged 9-26 years in 2008 through 2010. Based on electronic health record insurance coverage information, patients were categorized by percent of time insured during the study period (0%, 1%-32%, 33%-65%, 66%-99%, or 100%). We used bilevel multivariable Poisson regression to compare vaccine-initiation prevalence between insurance groups, stratified by race/ethnicity and age. We also examined vaccine series completion among initiators who had at least 12 months to complete all 3 doses., Results: Significant interactions were observed between insurance category, age, and race/ethnicity. Juxtaposed with their continuously insured peers, patients were less likely to initiate the HPV vaccine if they were insured for less than 66% of the study period, aged 13 years or older, and identified as a racial/ethnic minority. Insurance coverage was not associated with vaccine series completion., Conclusions: Disparities in vaccine uptake by insurance status were present in the FQHCs studied here, despite the fact that HPV vaccines are available to many patients regardless of ability to pay.

Objective: To evaluate selected Children's Health Insurance Program Reauthorization Act claims-based quality measures using claims data alone, electronic health record (EHR) data alone, and both data sources combined., Methods: Our population included pediatric patients from 46 clinics in the OCHIN network of community health centers, who were continuously enrolled in Oregon's public health insurance program during 2010. Within this population, we calculated selected pediatric care quality measures according to the Children's Health Insurance Program Reauthorization Act technical specifications within administrative claims. We then calculated these measures in the same cohort, by using EHR data, by using the technical specifications plus clinical data previously shown to enhance capture of a given measure. We used the k statistic to determine agreement in measurement when using claims versus EHR data. Finally, we measured quality of care delivered to the study population, when using a combined dataset of linked, patient-level administrative claims and EHR data., Results: When using administrative claims data, 1.0% of children (aged 3-17) had a BMI percentile recorded, compared with 71.9% based on the EHR data (k agreement [k] # 0.01), and 72.0% in the combined dataset. Among children turning 2 in 2010, 20.2% received all recommended immunizations according to the administrative claims data, 17.2% according to the EHR data (k = 0.82), and 21.4% according to the combined dataset., Conclusions: Children's care quality measures may not be accurate when assessed using only administrative claims. Adding EHR data to administrative claims data may yield more complete measurement.

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.

Lack of health insurance negatively impacts children's health. Despite federal initiatives to expand children's coverage and accelerate state outreach efforts, millions of US children remain uninsured or experience frequent gaps in coverage. Most current efforts to enroll and retain eligible children in public insurance programs take place outside of the health care system. This study is a partnership between patients' families, medical informaticists, federally qualified health center (FQHC) staff, and researchers to build and test information technology tools to help FQHCs reach uninsured children and those at risk for losing coverage.

Background and Objectives: The Deficit Reduction Act (DRA) of 2005 mandated Medicaid beneficiaries to document citizenship. Using a prospective cohort (n=104,375), we aimed to (1) determine characteristics of affected children, (2) describe effects on health insurance coverage and access to needed health care, and (3) model the causal relationship between this new policy, known determinants of health care access, and receipt of needed health care., Methods: We identified a stratified random sample of children shortly after the DRA was implemented and used state records and surveys to compare three groups: children denied Medicaid for inability to document citizenship, children denied for other reasons, and children accepted for coverage. To combat survey nonresponse, we used Medicaid records to identify differences between responders and nonrespondents and created survey weights to account for these differences. Weighted simple and multivariable logistic regression described the complete, originally identified population., Results: Children denied Medicaid for inability to document citizenship were likely to be US citizens, were medically and socially more vulnerable than their peers, and went on to have gaps in health insurance coverage and unmet health care needs. The DRA led to persistent loss of insurance coverage, which decreased access to needed health care. Having a usual source of care was an effect modifier in this relationship., Conclusions: Our findings demonstrate the negative consequences of the DRA and support the use of automated methods of citizenship verification allowed under the Patient Protection and Affordable Care Act.

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.

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.

Introduction: Cervical cancer incidence and mortality rates in the United States have decreased 67% over the past 3 decades, a reduction mainly attributed to widespread use of the Papanicolaou (Pap) test for cervical cancer screening. In the general population, receipt of cervical cancer screening is positively associated with having health insurance. Less is known about the role insurance plays among women seeking care in community health centers, where screening services are available regardless of insurance status. The objective of our study was to assess the association between cervical cancer screening and insurance status in Oregon and California community health centers by using data from electronic health records., Methods: We used bilevel log-binomial regression models to estimate prevalence ratios and 95% confidence intervals for receipt of a Pap test by insurance status, adjusted for patient-level demographic factors and a clinic-level random effect., Results: Insurance status was a significant predictor of cervical cancer screening, but the effect varied by race/ethnicity and age. In our study uninsured non-Hispanic white women were less likely to receive a Pap test than were uninsured women of other races. Young, uninsured Hispanic women were more likely to receive a Pap test than were young, fully insured Hispanic women, a finding not previously reported., Conclusion: Electronic health records enable population-level surveillance in community health centers and can reveal factors influencing use of preventive services. Although community health centers provide cervical cancer screening regardless of insurance status, disparities persist in the association between insurance status and receipt of Pap tests. In our study, after adjusting for demographic factors, being continuously insured throughout the study period improved the likelihood of receiving a Pap test for many women.

In the United States, stable health insurance coverage is associated with improved health outcomes. A lack of insurance is associated with premature death from preventable causes. Although primary care clinicians are often in a position to see firsthand the impact that being uninsured has on patients, most ambulatory care clinics are not actively involved in helping patients obtain health insurance, retain their coverage, or make important health insurance coverage decisions. The magnitude and complexity of the US "uninsurance" problem, as well as recent federal initiatives to expand coverage options, inspire important questions: Can medical homes play a more active role in helping patients find and keep insurance coverage? How can basic tenets from the chronic care model be operationalized to build systems to treat the uninsurance ailment? Creating effective processes and tools within the medical home to keep a patient insured may be as important to improving population health as helping a patient maintain a normal blood pressure. Similar system-level interventions could be used to support both endeavors.

Parent's insurance coverage is associated with children's insurance status, but little is known about whether a parent's coverage continuity affects a child's coverage. This study assesses the association between an adult's insurance continuity and the coverage status of their children. We used data from a subgroup of participants in the Oregon Health Care Survey, a three-wave, 30-month prospective cohort study (n = 559). We examined the relationship between the length of time an adult had health insurance coverage and whether or not all children in the same household were insured at the end of the study. We used a series of univariate and multivariate logistic regression models to identify significant associations and the rho correlation coefficient to assess collinearity. A dose response relationship was observed between continuity of adult coverage and the odds that all children in the household were insured. Among adults with continuous coverage, 91.4% reported that all children were insured at the end of the study period, compared to 83.7% of adults insured for 19-27 months, 74.3% of adults insured for 10-18 months, and 70.8% of adults insured for fewer than 9 months. This stepwise pattern persisted in logistic regression models: adults with the fewest months of coverage, as compared to those continuously insured, reported the highest odds of having uninsured children (adjusted odds ratio 7.26, 95% confidence interval 2.75, 19.17). Parental health insurance continuity is integral to maintaining children's insurance coverage. Policies to promote continuous coverage for adults will indirectly benefit children.

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.

Background and Objectives: Adjusted for inflation, household income has been relatively flat since the mid-1990s, but the inflation rate of employer-sponsored health insurance has been greater than both household income growth and general inflation for 50 years. We estimated the effect on average family income if health insurance inflation matched the general inflation rate since 1996, and those savings were given to employees as income., Methods: We used data from the Medical Expenditure Panel Survey, the Milliman Medical Index, and other federal sources to model the relationship between private health insurance costs and household income over the last 15 years., Results: If the cost of family health care costs had kept pace with the Consumer Price Index (CPI) rate since 1996, the average family income could have been $8,410 higher in 2010 ($68,805 versus $60,395), 13.9% more than actual earnings., Conclusions: If health care costs had not exceeded the CPI rate since 1996 and if all the excess costs were converted into employee wages, median family income could be substantially higher today.

Introduction: Although recent health care reforms will expand insurance coverage for U.S. children, disparities regarding access to pediatric care persist, even among the insured. We investigated the separate and combined effects of having health insurance and a usual source of care (USC) on children's receipt of health care services., Methods: We conducted secondary analysis of the nationally representative 2002-2007 Medical Expenditure Panel Survey data from children (≤ 18 years of age) who had at least one health care visit and needed any additional care, tests, or treatment in the preceding year (n = 20,817)., Results: Approximately 88.1% of the study population had both a USC and insurance; 1.1% had neither one; 7.6% had a USC only, and 3.2% had insurance only. Children with both insurance and a USC had the fewest unmet needs. Among insured children, those with no USC had higher rates of unmet needs than did those with a USC., Discussion: Expansions in health insurance are essential; however, it is also important for every child to have a USC. New models of practice could help to concurrently achieve these goals., (Copyright © 2012 National Association of Pediatric Nurse Practitioners. Published by Mosby, Inc. All rights reserved.)

The Children's Health Insurance Program Reauthorization Act of 2009 (CHIPRA) includes provisions for identifying standardized pediatric care quality measures. These 24 "CHIPRA measures" were designed to be evaluated by using claims data from health insurance plan populations. Such data have limited ability to evaluate population health, especially among uninsured people. The rapid expansion of data from electronic health records (EHRs) may help address this limitation by augmenting claims data in care quality assessments. We outline how to operationalize many of the CHIPRA measures for application in EHR data through a case study of a network of >40 outpatient community health centers in 2009-2010 with a single EHR. We assess the differences seen when applying the original claims-based versus adapted EHR-based specifications, using 2 CHIPRA measures (Chlamydia screening among sexually active female patients; BMI percentile documentation) as examples. Sixteen of the original CHIPRA measures could feasibly be evaluated in this dataset. Three main adaptations were necessary (specifying a visit-based population denominator, calculating some pregnancy-related factors by using EHR data, substituting for medication dispense data). Although it is feasible to adapt many of the CHIPRA measures for use in outpatient EHR data, information is gained and lost depending on how numerators and denominators are specified. We suggest first steps toward application of the CHIPRA measures in uninsured populations, and in EHR data. The results highlight the importance of considering the limitations of the original CHIPRA measures in care quality evaluations.

The passage of the 2010 Patient Protection and Affordable Care Act (PPACA) in the United States put the issues of health care reform and health care costs back in the national spotlight. DeVoe and colleagues previously estimated that the cost of a family health insurance premium would equal the median household income by the year 2025. A slowdown in health care spending tied to the recent economic downturn and the passage of the PPACA occurred after this model was published. In this updated model, we estimate that this threshold will be crossed in 2033, and under favorable assumptions the PPACA may extend this date only to 2037. Continuing to make incremental changes in US health policy will likely not bend the cost curve, which has eluded policy makers for the past 50 years. Private health insurance will become increasingly unaffordable to low-to-middle-income Americans unless major changes are made in the US health care system.

Despite the promise of expanded health insurance coverage for children in the United States, a usual source of care (USC) may have a bigger impact on a child's receipt of preventive health counseling. We examined the effects of insurance versus USC on receipt of education and counseling regarding prevention of childhood injuries and disease. We conducted secondary analyses of 2002-2006 data from a nationally-representative sample of child participants (≤17 years) in the Medical Expenditure Panel Survey (n = 49,947). Children with both insurance and a USC had the lowest rates of missed counseling, and children with neither one had the highest rates. Children with only insurance were more likely than those with only a USC to have never received preventive health counseling from a health care provider regarding healthy eating (aRR 1.21, 95% CI 1.12-1.31); regular exercise (aRR 1.06, 95% CI 1.01-1.12), use of car safety devices (aRR 1.10, 95% CI 1.03-1.17), use of bicycle helmets (aRR 1.11, 95% CI 1.05-1.18), and risks of second hand smoke exposure (aRR 1.12, 95% CI 1.04-1.20). A USC may play an equally or more important role than insurance in improving access to health education and counseling for children. To better meet preventive counseling needs of children, a robust primary care workforce and improved delivery of care in medical homes must accompany expansions in insurance coverage.

Background and Objectives: Central to health insurance reform discussions was the recurring question: why are eligible children not enrolled in public insurance programs? We interviewed families with children eligible for public insurance to (1) learn how they view available services and (2) understand their experiences accessing care., Methods: Semi-structured, in-depth interviews with 24 parents of children eligible for public coverage but not continuously enrolled were conducted. We used a standard iterative process to identify themes, followed by immersion/crystallization techniques to reflect on the findings., Results: Respondents identified four barriers: (1) confusion about insurance eligibility and enrollment, (2) difficulties obtaining public coverage and/or services, (3) limited provider availability, and (4) non-covered services and/or coverage gaps. Regardless of whether families had overcome these barriers, all had experienced stigma associated with needing and using public assistance. There was not just one point in the process where families felt stigmatized. It was, rather, a continual process of stigmatization. We present a theoretical framework that outlines how families continually experience stigma when navigating complex systems to obtain care: when they qualify for public assistance, apply for assistance, accept the assistance, and use the public benefit. This framework is accompanied by four illustrative archetypes., Conclusions: This study provides further insight into why some families forego available public services. It suggests the need for a multi-pronged approach to improving access to health care for vulnerable children, which may require going beyond incremental changes within the current system.

We employed a mixed-methods study of primary data from a statewide household survey and in-person interviews with parents to examine-quantitatively and qualitatively-whether low-income children experienced differences between public and private insurance coverage types. We carried out 24 in-depth interviews with a subsample of respondents to Oregon's 2005 Children's Access to Healthcare Study (CAHS), analyzed using a standard iterative process and immersion/crystallization cycles. Qualitative findings guided quantitative analyses of CAHS data that assessed associations between insurance type and parental-reported unmet children's health care needs. Interviewees uniformly reported that stable health insurance was important, but there was no consensus regarding which type was superior. Quantitatively, there were only a few significant differences. Cross-sectionally, compared with private coverage, public coverage was associated with higher odds of unmet specialty care needs (odds ratio [OR] 3.54; 95% confidence interval [CI] 1.52-8.24). Comparing full-year coverage patterns, those with public coverage had lower odds of unmet prescription needs (OR 0.60, 95% CI 0.36-0.99) and unmet mental health counseling needs (OR 0.24, 95% CI 0.10-0.63), compared with privately covered children. Low-income Oregon parents reported few differences in their child's experience with private versus public coverage.

Background: In 2010, the United States (US) passed health insurance reforms aimed at expanding coverage to the uninsured. Yet, disparities persist in access to health care services, even among the insured., Objective: To examine the separate and combined association between having health insurance and/or a usual source of care (USC) and self-reported receipt of health care services., Design/setting: Two-tailed, chi-square analyses and logistic regression models were used to analyze nationally representative pooled 2002-2007 data from the Medical Expenditure Panel Survey (MEPS)., Participants: US adults (≥18 years of age) in the MEPS population who had at least one health care visit and who needed any care, tests, or treatment in the past year (n = 62,067)., Main Outcome Measures: We assessed the likelihood of an adult reporting unmet medical needs; unmet prescription needs; a problem getting care, tests, or treatment; and delayed care based on whether each individual had health insurance, a USC, both, or neither one., Key Results: Among adults who reported a doctor visit and a need for services in the past year, having both health insurance and a USC was associated with the lowest percentage of unmet medical needs, problems and delays in getting care while having neither one was associated with the highest unmet medical needs, problems and delays in care. After adjusting for potentially confounding covariates (age, race, ethnicity, employment, geographic residence, education, household income as a percent of federal poverty level, health status, and marital status), compared with insured adults who also had a USC, insured adults without a USC were more likely to have problems getting care, tests or treatment (adjusted relative risk [aRR] 1.27; 95% confidence interval [CI] 1.18-1.37); and also had a higher likelihood of experiencing a delay in urgent care (aRR 1.12; 95% CI 1.05-1.20)., Conclusions: Amidst ongoing health care reform, these findings suggest the important role that both health insurance coverage and a usual source of care may play in facilitating individuals' access to care.

Objectives: We identified characteristics of Oregon children who were eligible for the Oregon Health Plan (OHP), the state's combined Medicaid-Children's Health Insurance Program (CHIP), but were not enrolled in January 2005. We also assessed whether parents' confusion regarding their children's status affected nonenrollment., Methods: We conducted cross-sectional analyses of linked statewide Food Stamp Program and OHP administrative databases (n = 10 175) and primary data from a statewide survey (n = 2681)., Results: More than 20% of parents with children not administratively enrolled in OHP reported that their children were enrolled. Parents of 11.3% of children who were administratively enrolled reported that they were not. Eligible but unenrolled children had higher odds of being older, having higher family incomes, and having employed and uninsured parents., Conclusions: These findings reveal an important discrepancy between administrative data and parent-reported access to public health insurance. This discrepancy may stem from transient coverage or confusion among parents and may result in underutilization of health insurance for eligible children.

Millions of US children have unstable health insurance coverage. Some of these uninsured children have parents with stable coverage. We examined whether household income was associated with longer coverage gaps among US children with at least one insured parent. A secondary data analysis of the nationally-representative 2004 Medical Expenditure Panel Survey, this study uses logistic regression models to examine the association between income and children's insurance gaps. We focused on children with at least one parent insured all year (n = 6,151; estimated weighted N = 53.5 million). In multivariate models, children from families earning between 125 and 400% of the federal poverty level (FPL) had twice the odds of experiencing coverage gaps >6 months, as compared to those from high income families. Children in the poorest income groups (<125% FPL) did not have significantly greater odds of a gap >6 months. However, the odds of a gap ≤6 months were significantly greater for all income groups below 400% FPL, when compared to the highest income group. Among children with continuously insured parents, those from lower middle income families were most vulnerable to experiencing coverage gaps >6 months, as compared to those from the lowest and highest income families. These findings are likely due to middle class earnings being too high to qualify for public insurance but not high enough to afford private coverage. This study highlights the need for new US health care financing models that give everyone in the family the best chance to obtain stable coverage. It also provides valuable information to other countries with employer-sponsored insurance models or those considering privatization of insurance payment systems and how this might disproportionately impact the middle class.

Introduction: More than half of uninsured children in the United States qualify for Medicaid or the Children's Health Insurance Program (CHIP). Application readability and other complex features may be barriers to enrollment for some of these families. The purpose of this study was to conduct a literary assessment of state-issued English- and Spanish-language Medicaid/CHIP Internet-based enrollment applications, including an evaluation of reading demands, layout characteristics, and document complexity., Method: In May 2010, we downloaded all currently available English-language (n = 50) and Spanish-language (n = 39) Internet-based, state-issued Medicaid/CHIP enrollment applications. We estimated the reading demands of each CHIP enrollment application "Signature" page using the Lexile Analyzer. We assessed layout characteristics using the User-Friendliness Tool and we evaluated document complexity using the PMOSE/IKIRSCH scale., Results: On average, Medicaid/CHIP enrollment application "Signature" pages were written at a high school reading level (English language = 12th- to 13th-grade reading level; Spanish language = 10th- to 11th-grade reading level). Five Medicaid/CHIP enrollment applications (5.6%) consistently used a 12-point or larger font size throughout. Most Medicaid/CHIP enrollment applications (n = 83; 93.3%) needed "some" or "much" improvement in the amount of white space. Document complexity ranged from level 3 (moderate) to level 5 (very high), with the majority of Medicaid/CHIP enrollment applications ranked at level 4 (high)., Discussion: Revisions are required in almost all state Medicaid/CHIP enrollment applications to achieve consistency and to meet standard low-literacy guidelines (e.g., written at a 6th grade or lower reading level and using a font of 12 points or larger). Additionally, to increase access to Medicaid/CHIP for eligible Hispanic children, all states should provide an online Spanish-language version of the Medicaid/CHIP enrollment application., (Copyright © 2011 National Association of Pediatric Nurse Practitioners. Published by Mosby, Inc. All rights reserved.)

Purpose: Insured children in the United States have better access to health care services; less is known about how parental coverage affects children's access to care. We examined the association between parent-child health insurance coverage patterns and children's access to health care and preventive counseling services., Methods: We conducted secondary analyses of nationally representative, cross-sectional, pooled 2002-2006 data from children (n = 43,509), aged 2 to 17 years, in households responding to the Medical Expenditure Panel Survey (MEPS). We assessed 9 outcome measures pertaining to children's unmet health care and preventive counseling needs., Results: Cross-sectionally, among US children (aged 2 to 17 years) living with at least 1 parent, 73.6% were insured with insured parents, 8.0% were uninsured with uninsured parents, and the remaining 18.4% had discordant family insurance coverage patterns. In multivariable analyses, insured children with uninsured parents had higher odds of an insurance coverage gap (odds ratio [OR] = 2.45; 95% confidence interval [CI], 2.02-2.97), no usual source of care (OR = 1.31; 95% CI, 1.10-1.56), unmet health care needs (OR = 1.11; 95% CI, 1.01-1.22), and having never received at least 1 preventive counseling service (OR = 1.20; 95% CI, 1.04-1.39) when compared with insured children with insured parents. Insured children with mixed parental insurance coverage had similar vulnerabilities., Conclusions: Uninsured children had the highest rates of unmet needs overall, with fewer differences based on parental insurance status. For insured children, having uninsured parents was associated with higher odds of going without necessary services when compared with having insured parents.

Objective: The purpose of this study was to examine the effects of health insurance and/or a usual source of care (USC) on receipt of diabetic-specific services and health care barriers for U.S. adults with diabetes., Research Design and Methods: Secondary analyses of data from 6,562 diabetic individuals aged >or=18 years from the nationally representative Medical Expenditure Panel Survey from 2002 to 2005 were performed. Outcome measures included receipt of seven diabetic services plus five barriers to care., Results: More than 84% of diabetic individuals in the U.S. had full-year coverage and a USC; 2.3% had neither one. In multivariate analyses, the uninsured with no USC had one-fifth the odds of receiving A1C screening (odds ratio 0.23 [95% CI 0.14-0.38]) and one-tenth the odds of a blood pressure check (0.08 [0.05-0.15]), compared with insured diabetic individuals with a USC. Similarly, being uninsured without a USC was associated with 5.5 times the likelihood of unmet medical needs (5.51 [3.49-8.70]) and three times more delayed urgent care (3.13 [1.53-6.38]) compared with being insured with a USC. Among the two groups with either insurance or a USC, diabetic individuals with only a USC had rates of diabetes-specific care more similar to those of insured individuals with a USC. In contrast, those with only insurance were closer to the reference group with fewer barriers to care., Conclusions: Insured diabetic individuals with a USC were better off than those with only a USC, only insurance, or neither one. Policy reforms must target both the financing and the delivery systems to achieve increased receipt of diabetes services and decreased barriers to care.

Context: Millions of US children and adolescents lack health insurance coverage. Efforts to expand their insurance often focus on extending public coverage to uninsured parents. Less is known about the uninsured whose parents already have coverage., Objective: To identify predictors of uninsurance among US children and adolescents with insured parents., Design and Setting: Cross-sectional and full-year analyses of pooled 2002-2005 data from the nationally representative Medical Expenditure Panel Survey (MEPS)., Participants: Children and adolescents younger than 19 years in 4 yearly MEPS files with positive full-year weights who had at least 1 parent residing in the same household. There were 39,588 in the unweighted cross-sectional analysis and 39,710 in the unweighted full-year analysis., Main Outcome Measure: Prevalence of uninsurance among children and adolescents with at least 1 insured parent; predictors of uninsurance among children with at least 1 insured parent., Results: In the cross-sectional study population, 1380 of 39,588 children and adolescents were uninsured with at least 1 insured parent (weighted prevalence, 3.3%; 95% confidence interval [CI], 3.0%-3.6%). In multivariate analyses of children and adolescents with at least 1 insured parent, those uninsured were more likely Hispanic (odds ratio [OR], 1.58; 95% CI, 1.23-2.03) than white, non-Hispanic; low income (OR, 2.02; 95% CI, 1.42-2.88) and middle income (OR, 1.48; 95% CI, 1.09-2.03) than high income; from single-parent homes (OR, 1.99; 95% CI, 1.59-2.49) than from homes with 2 married parents; and living with parents who had less than a high school education (OR, 1.44; 95% CI, 1.10-1.89) than those with at least 1 parent who had completed high school. Those whose parents had public coverage were less likely to be uninsured (OR, 0.64; 95% CI, 0.43-0.96) than were those whose parents reported private health insurance. These predictors remained significant in full-year analyses. Similar patterns of vulnerability were also found among a subset of uninsured children with privately covered parents., Conclusions: Among all US children, more than 3% were uninsured with at least 1 insured parent. Predictors of such uninsurance included having low and middle income. Having a parent covered by only public insurance was associated with better children's coverage rates.

Objectives: To examine the separate and combined effects of having health insurance and a usual source of care (USC) on access to healthcare for low-income children and to determine if one or the other is superior in ensuring better access to necessary services., Methods: We conducted cross-sectional, multivariable analyses of data from a mail-return survey of Oregon's food stamp program. Results from 2681 completed surveys were weighted back to a population of 84,087 families with adjustments for oversampling techniques and nonresponse., Results: Among low-income Oregon children, those with health insurance and a USC reported the best access to healthcare. In multivariable comparisons to this reference group, insured children without a USC had higher rates of unmet medical need [odds ratio (OR) = 2.18; 95% confidence interval (CI): 1.27-3.73]; no doctor visits in 12 months (OR = 6.77; 95% CI: 3.80-12.06); and problems obtaining specialty care (OR = 4.12; 95% CI: 1.59-10.68). Similarly, having a USC but not health insurance was associated with an even higher likelihood of unmet medical needs (OR = 4.33; 95% CI: 2.85-6.57); as well as unmet prescription needs (OR = 2.64, 95% CI: 1.77-3.94), and problems obtaining dental care (OR = 4.83; 95% CI: 3.31-7.06)., Conclusions: Incremental policy solutions are being proposed that focus on either health insurance coverage for children or expanded access to primary care. However, neither approach displaces the need for the other. The effects of a USC and health insurance, together, are additive predictors of the likelihood that children have optimal access to necessary healthcare services.

Objective: Gaps in health insurance coverage compromise access to health care services, but it is unclear whether the length of time without coverage is an important factor. This article examines how coverage gaps of different lengths affect access to health care among low-income children., Methods: We conducted a multivariable, cross-sectional analysis of statewide primary data from families in Oregon's food stamp population with children presumed eligible for publicly funded health insurance. The key independent variable was length of a child's insurance coverage gap; outcome variables were 6 measures of health care access., Results: More than 25% of children reported a coverage gap during the 12-month study period. Children most likely to have a gap were older, Hispanic, lived in households earning between 133% and 185% of the federal poverty level, and/or had an employed parent. After adjusting for these characteristics, in comparison with continuously insured children, a child with a gap of any length had a higher likelihood of unmet medical, prescription, and dental needs; no usual source of care; no doctor visits in the past year; and delayed urgent care. When comparing coverage gaps, children without coverage for longer than 6 months had a higher likelihood of unmet needs compared with children with a gap shorter than 6 months. In some cases, children with gaps longer than 6 months were similar to, or worse off than, children who had never been insured., Conclusions: State policies should be designed to minimize gaps in public health insurance coverage in order to ensure children's continuous access to necessary services.

Objectives: This study ascertained the separate and combined effects of having insurance and a usual source of care on receiving preventive services., Methods: Descriptive and multivariate analyses of 1996 Medical Expenditure Panel Survey data were conducted., Results: Receipt of preventive services was strongly associated with insurance and a usual source of care. Significant differences were found between insured adults with a usual source of care, who were most likely to have received services, compared with uninsured adults without regular care, who were least likely to have received services. Those with either a usual source of care or insurance had intermediate levels of preventive services., Conclusions: Having a usual source of care and health insurance are both important to achieving national prevention goals.

Maintaining continuous health insurance coverage is important. With recent expansions in access to coverage in the United States after "Obamacare," primary care teams have a new role in helping to track and improve coverage rates and to provide outreach to patients. We describe efforts to longitudinally track health insurance rates using data from the electronic health record (EHR) of a primary care network and to use these data to support practice-based insurance outreach and assistance. Although we highlight a few examples from one network, we believe there is great potential for doing this type of work in a broad range of family medicine and community health clinics that provide continuity of care. By partnering with researchers through practice-based research networks and other similar collaboratives, primary care practices can greatly expand the use of EHR data and EHR-based tools targeting improvements in health insurance and quality health care. [ABSTRACT FROM AUTHOR]