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Show Me My Health Plans: a study protocol of a randomized trial testing a decision support tool for the federal health insurance marketplace in Missouri.

ABSTRACT: BACKGROUND:The implementation of the ACA has improved access to quality health insurance, a necessary first step to improving health outcomes. However, access must be supplemented by education to help individuals make informed choices for plans that meet their individual financial and health needs. METHODS/DESIGN:Drawing on a model of information processing and on prior research, we developed a health insurance decision support tool called Show Me My Health Plans. Developed with extensive stakeholder input, the current tool (1) simplifies information through plain language and graphics in an educational component; (2) assesses and reviews knowledge interactively to ensure comprehension of key material; (3) incorporates individual and/or family health status to personalize out-of-pocket cost estimates; (4) assesses preferences for plan features; and (5) helps individuals weigh information appropriate to their interests and needs through a summary page with "good fit" plans generated from a tailored algorithm. The current study will evaluate whether the online decision support tool improves health insurance decisions compared to a usual care condition (the healthcare.gov marketplace website). The trial will include 362 individuals (181 in each group) from rural, suburban, and urban settings within a 90 mile radius around St. Louis. Eligibility criteria includes English-speaking individuals 18-64 years old who are eligible for the ACA marketplace plans. They will be computer randomized to view the intervention or usual care condition. DISCUSSION:Presenting individuals with options that they can understand tailored to their needs and preferences could help improve decision quality. By helping individuals narrow down the complexity of health insurance plan options, decision support tools such as this one could prepare individuals to better navigate enrollment in a plan that meets their individual needs. The randomized trial was registered in clinicaltrials.gov (NCT02522624) on August 6, 2015.

SUBMITTER: Politi MC

PROVIDER: S-EPMC4754978 | biostudies-literature | 2016 Feb

REPOSITORIES: biostudies-literature

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Show Me My Health Plans: a study protocol of a randomized trial testing a decision support tool for the federal health insurance marketplace in Missouri.

Politi Mary C MC Barker Abigail R AR Kaphingst Kimberly A KA McBride Timothy T Shacham Enbal E Kebodeaux Carey S CS

BMC health services research 20160216

<h4>Background</h4>The implementation of the ACA has improved access to quality health insurance, a necessary first step to improving health outcomes. However, access must be supplemented by education to help individuals make informed choices for plans that meet their individual financial and health needs.<h4>Methods/design</h4>Drawing on a model of information processing and on prior research, we developed a health insurance decision support tool called Show Me My Health Plans. Developed with e ...[more]

PMID: 26880251

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Project description:ImportanceIndividual health insurance marketplaces established through the Affordable Care Act of 2010 (ACA) fill a critical gap for those who lack other coverage options. The high degree of coverage turnover, or churn, has raised concerns about affordability and strategic behavior on the part of individuals to sign up only when they need care.ObjectiveTo assess the role of California's ACA marketplaces in the broader health care landscape by understanding enrollment tenure and churn.Design, setting, and participantsThis cross-sectional study analyzed survey data from a representative, probability-based sample of enrollees in California's ACA marketplace, Covered California, collected immediately after the open enrollment periods in 2018, 2019, and 2021. Administrative data from Covered California from January 1, 2014, to December 31, 2021, were used to analyze marketplace tenure. Survey data included 9571 heads of households aged 18 to 64 years who were newly enrolled or had recently terminated their plan, directly drawn from Covered California's administrative records. Administrative data included individuals up to age 65 years who enrolled in the marketplace during 2014 to 2021.ExposuresNew enrollment in or termination from health care coverage through California's ACA marketplace.Main outcomes and measuresEnrollment tenure in California's ACA marketplace, sources of coverage prior to enrolling and after terminating coverage, and demographic or plan characteristics associated with the decision to go uninsured.ResultsMedian (IQR) length of coverage among 5.4 million enrollees (mean [SD] age, 38 [16] years; 17% Asian American/Native Hawaiian or other Pacific Islander, 2.5% Black or African American, 23% Latino [response options were Hispanic, Spanish, or Latino origin], 29% White, 7.5% categorized as other [including American Indian/Alaskan Native, multiple races, and other], and 21% of unknown race or ethnicity) was 14 (6-35) months, and 41% to 46% of enrollees disenrolled within 1 year, with substantial variation by subgroups. Despite this churn, only 14% (95% CI, 12%-15%) of 6474 terminating members surveyed across 3 years (2018, 2019, and 2021) reported being uninsured after leaving the marketplace, with the rest moving to job-based coverage or Medicaid. Most of those surveyed (mean [SE] percentage, 56% [0.016] individuals) reported having had employer-sponsored insurance or Medicaid prior to enrolling in the marketplace. Among subsidized renewal candidates, Latino candidates were 1.5 percentage points (95% CI, 0.8-2.3 percentage points) more likely to go uninsured compared with White candidates, and those with no expected physician visits in the coming year were 4.8 percentage points (95% CI, 2.4-7.2 percentage points) more likely to go uninsured vs those who expected physician visits.Conclusions and relevanceThe results of this cross-sectional study of coverage churn found that ACA marketplaces served 2 distinct types of individuals, long-term enrollees but, more often, individuals with short-term-coverage needs due to a change in eligibility for other insurance. These results suggest that marketplaces are smoothing coverage disruptions and that policies to reduce gaps in coverage should be designed with this in mind.

Project description:BackgroundReductions in health insurance enrollment outreach could have negative effects on the individual health insurance market. Specifically, consumers may not be informed about the availability of coverage, and if some healthier consumers fail to enroll, there could be a worse risk pool for insurers. Kentucky created its own Marketplace, known as kynect, and adopted Medicaid expansion under the Affordable Care Act, which yielded the largest decline in adult uninsured rate in the United States from 2013 to 2016. The state sponsored an award-winning media campaign, yet after the election of a new governor in 2015, it declined to renew the television advertising contract for kynect and canceled all pending television ads with over a month remaining in the 2016 open enrollment period.ObjectiveThe objective of this study is to examine the stark variation in television advertising across multiple open enrollment periods in Kentucky and use this variation to estimate the dose-response effect of state-sponsored television advertising on consumer engagement with the Marketplace. In addition, we assess to what extent private insurers can potentially help fill the void when governments reduce or eliminate television advertising.MethodsWe obtained television advertising (Kantar Media/Campaign Media Analysis Group) and Marketplace data (Kentucky Health Benefit Exchange) for the period of October 1, 2013, through January 31, 2016, for Kentucky. Advertising data at the spot level were collapsed to state-week counts by sponsor type. Similarly, a state-week series of Marketplace engagement and enrollment measures were derived from state reports to Centers for Medicare and Medicaid Services. We used linear regression models to estimate associations between health insurance television advertising volume and measures of information-seeking (calls to call center; page views, visits, and unique visitors to the website) and enrollment (Web-based and total applications, Marketplace enrollment).ResultsWe found significant dose-response effects of weekly state-sponsored television advertising volume during open enrollment on information-seeking behavior (marginal effects of an additional ad airing per week for website page views: 7973, visits: 390, and unique visitors: 388) and enrollment activity (applications, Web-based: 61 and total: 56).ConclusionsState-sponsored television advertising was associated with nearly 40% of unique visitors and Web-based applications. Insurance company television advertising was not a significant driver of engagement, an important consideration if cuts to government-sponsored advertising persist.

Project description:ImportanceThe American Rescue Plan increases premium subsidies for health insurance marketplace enrollees, potentially leading to situations in which enrollees could switch to other health care plans with lower premiums and less cost sharing (ie, deductibles and copayments). Current policy defaults enrollees to their current health care plan if they automatically renew their coverage, which may cause them to stay in health care plans that, because of the American Rescue Plan, are now dominated in that they have higher premiums and cost sharing than other options.ObjectiveTo estimate the extent to which a smart default policy could reduce US health insurance marketplace enrollees' cost sharing and premiums.Design setting and participantsUsing 2018 individual enrollment data and 2021 premium data from California's marketplace and the American Rescue Plan premium tax credit subsidy schedule, this economic analysis estimated the characteristics of enrollees' default health care plans if they defaulted into 2021 health care plans under current and smart default policies. The analysis was conducted from March 20 to April 8, 2021.Main outcomes and measuresCharacteristics of enrollees' default health care plans under current and smart default policies, including net premiums, plan levels, and cost sharing.ResultsThe analytic sample consisted of 748 087 Covered California enrollees from 2018 (mean [SD] age, 44.80 [13.72] years; 408 410 [54.6%] women). Under current policy with the enhanced subsidies implemented under the American Rescue Plan, 5.8% of sample enrollees would default into dominated health plans. Of these enrollees, 98.0% would have incomes below 250% of the federal poverty level. A smart default policy would lead to a mean $102.47 decrease in monthly premiums (95% CI, $103.84-$101.10), a mean $1960 reduction in individual annual medical deductibles (95% CI, $1991-$1928), and a $49.56 reduction in specialty prescription copays (95% CI, $49.77-$49.34).Conclusions and relevanceThe findings of this economic analysis suggest that a smart default policy could avoid defaulting lower-income marketplace enrollees to objectively inferior health care insurance plans and may lead to large reductions in lower-income enrollees' deductibles, copayments, and maximum out-of-pocket amounts. Implementation of a smart default policy could enable marketplace administrators to reduce the prevalence of underinsurance among lower-income marketplace enrollees.

Project description:ImportanceEvery year during the open enrollment period, hundreds of thousands of individuals across the Affordable Care Act marketplaces begin the enrollment process but fail to complete it, thereby resulting in coverage gaps or going uninsured.ObjectiveTo investigate if low-cost ($0.55 per person) letters can increase health insurance enrollment.Design setting and participantsThis intent-to-treat randomized clinical trial was conducted during the final 2 weeks of the 2015 open enrollment period among the 37 states on the HealthCare.gov platform. The trial targeted 744 510 individuals who started the enrollment process but had yet to complete it. Data were analyzed from January through August 2021.InterventionsStudy participants were randomized to either a no-letter control group or to 1 of 8 letter variants that drew on evidence from the behavioral sciences about what motivates individuals to take action.Main outcomes and measuresThe primary outcome was the health insurance enrollment rate at the end of the open enrollment period.ResultsOf the 744 510 individuals (mean [SD] age, 41.9 [19.6] years; 53.9% women), 136 122 (18.3%) were in the control group and 608 388 (81.7%) were in the treatment group. Most lived in Medicaid nonexpansion states (72.7%), and a plurality were between 30 and 50 years old (41.0%). For race and ethnicity, 3.0% self-identified as Asian, 14.0% as Black, 5.1% as Hispanic, 39.8% as non-Hispanic White, and 38.2% as other or unknown. By the end of the open enrollment period, 4.0% of the control group enrolled in health insurance coverage. Comparatively, the enrollment rate in the pooled treatment group was 4.3%, which demonstrated an increase of 0.3 percentage points (95% CI, 0.2-0.4 percentage points; P<.001), yielding 1753 marginal enrollments. Letters that used action language caused larger enrollment effects, particularly among Black individuals (increase of 1.6 percentage points; 95% CI, 0.6-2.7 percentage points; P = .003) and Hispanic individuals (increase of 1.5 percentage points; 95% CI, 0.0-3.0 percentage points; P = .046) in Medicaid expansion states.Conclusions and relevanceThis randomized clinical trial shows that letters designed with best practices from the behavioral sciences literature were a low-cost way to increase health insurance enrollment in the Affordable Care Act marketplaces. More research is needed to understand what messages are most effective amid the recently passed American Rescue Plan.Trial registrationClinicalTrials.gov Identifier: NCT05010395.

Dataset Information

Show Me My Health Plans: a study protocol of a randomized trial testing a decision support tool for the federal health insurance marketplace in Missouri.

Publications

Show Me My Health Plans: a study protocol of a randomized trial testing a decision support tool for the federal health insurance marketplace in Missouri.

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