Dataset Information

Enrollment in prescription drug insurance: the interaction of numeracy and choice set size.

ABSTRACT: OBJECTIVE:To determine how choice set size affects decision quality among individuals of different levels of numeracy choosing prescription drug plans. METHOD:Members of an Internet-enabled panel age 65 and over were randomly assigned to sets of prescription drug plans varying in size from 2 to 16 plans from which they made a hypothetical choice. They answered questions about enrollment likelihood and the costs and benefits of their choice. The measure of decision quality was enrollment likelihood among those for whom enrollment was beneficial. Enrollment likelihood by numeracy and choice set size was calculated. A model of moderated mediation was analyzed to understand the role of numeracy as a moderator of the relationship between the number of plans and the quality of the enrollment decision and the roles of the costs and benefits in mediating that relationship. RESULTS:More numerate adults made better decisions than less numerate adults when choosing among a small number of alternatives but not when choice sets were larger. Choice set size had little effect on decision making of less numerate adults. Differences in decision making costs between more and less numerate adults helped explain the effect of choice set size on decision quality. CONCLUSIONS:Interventions to improve decision making in the context of Medicare Part D may differentially affect lower and higher numeracy adults. The conflicting results on choice overload in the psychology literature may be explained in part by differences amongst individuals in how they respond to choice set size.

SUBMITTER: Szrek H

PROVIDER: S-EPMC4479199 | biostudies-literature | 2014 Apr

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Enrollment in prescription drug insurance: the interaction of numeracy and choice set size.

Szrek Helena H Bundorf M Kate MK

Health psychology : official journal of the Division of Health Psychology, American Psychological Association 20130624 4

<h4>Objective</h4>To determine how choice set size affects decision quality among individuals of different levels of numeracy choosing prescription drug plans.<h4>Method</h4>Members of an Internet-enabled panel age 65 and over were randomly assigned to sets of prescription drug plans varying in size from 2 to 16 plans from which they made a hypothetical choice. They answered questions about enrollment likelihood and the costs and benefits of their choice. The measure of decision quality was enro ...[more]

PMID: 23795708

Similar Datasets

Project description:BackgroundHealth insurance enrollment is a difficult financial decision with large health impacts. Challenges such as low health insurance literacy and lack of knowledge about choosing a plan further complicate this decision-making process. Therefore, to support consumers in their choice of a health insurance plan, it is essential to understand how individuals go about making this decision.ObjectiveThis study aims to understand the sources of information used by individuals to support their employer-provided health insurance enrollment decisions. It seeks to describe how individual descriptive factors lead to choosing a particular type of information source.MethodsAn introduction was presented on health insurance plan selection and the sources of information used to support these decisions from the 1980s to the present. Subsequently, an electronic survey of 151 full-time faculty and staff members was conducted. The survey consisted of four sections: demographics, sources of information, health insurance literacy, and technology acceptance. Descriptive statistics were used to show the demographic characteristics of the 126 eligible respondents and to study the response behaviors in the remaining survey sections. Proportion data analysis was performed using the Cochran-Armitage trend test to understand the strength of the association between our variables and the types of sources used by the respondents.ResultsIn terms of demographics, most of the respondents were women (103/126, 81.7%), represented a small household (1-2 persons; 87/126, 69%), and used their insurance 3-12 times a year (52/126, 41.3%). They assessed themselves as having moderate to high health insurance literacy and high acceptance of technology. The most selected and top-ranked sources were Official employer or state websites and Official Human Resources Virtual Benefits Counselor Alex. From our data analysis, we found that the use of official primary sources was constant across age groups and health insurance use groups. Meanwhile, the use of friends or family as a primary source slightly decreased as age and use increased.ConclusionsIn this exploratory study, we identified the main sources of health insurance information among full-time employees from a large state university and found that most of the respondents needed 2-3 sources to gather all the information that they desired. We also studied and identified the relationships between individual factors (such as age, gender, and literacy) and 2 dependent variables on the types of primary sources of information. We encountered several limitations, which will be addressed in future studies.

Project description:Approximately one-fifth of Medicare Advantage (MA) contracts terminated their participation in the MA program between 2011 and 2020. Little is known about subsequent insurance choices following a termination. To examine the insurance destinations of MA enrollees and the characteristics of enrollees who switch into traditional Medicare (TM) after a contract termination. This cross-sectional study examined MA program data of MA beneficiaries in the Medicare Master Beneficiary File from 2016 to 2018. Statistical analysis was performed from June 2023 to April 2024. Beneficiary characteristics, including age, sex, race and ethnicity, dual eligibility; hospital, nursing home, and home health utilization; and contract characteristics, including plan type, vertical integration, premium, and MA star rating. The main outcome was switching to TM in the year immediately after termination. We also evaluated the characteristics of contracts among those who remained in MA. A total of 117 681 beneficiaries were included in this analysis (64 654 [54.9%] female; 409 [0.4%] American Indian or Alaska Native; 2817 [2.4%] Asian; 76 725 [16.8%] Black; 11 131 [9.5%] Hispanic; 81 226 [69.0%] White; and 2373 [2.0%] other race or ethnicity; 27 078 [23.0%] dual-eligible; mean [SD] age, 71.2 [10.4] years). Following a contract termination, 20.1% (95% CI, 19.9%-20.4%) of enrollees switched to TM, including 32.7% (95% CI, 32.4%-33.1%) of dual-eligible beneficiaries and 16.4% (95% CI, 16.2%-16.5%) of non-dual-eligible beneficiaries. In nonterminated contracts, the concurrent switch rate was 6.2% (95% CI, 6.2%-6.2%) for all, 10.4% (95% CI, 10.4%-10.4%) for dual-eligible beneficiaries and 5.1% (95% CI, 5.1%-5.1%) for non-dual-eligible enrollees. The highest switch rates to TM were among Black enrollees (32.3% [95% CI, 31.7%-32.8%]) and those with prior use of hospital (31.3% [95% CI, 30.7%-31.9%], nursing home, 41.4% [95% CI, 40.4%-42.4%], or home health care (28.3% [95% CI, 27.4%-29.2%]). Beneficiaries who stayed in MA selected higher-rated star plans (mean posttermination contract star rating of 3.8 [95% CI, 3.8-3.8] stars compared with 3.3 [95% CI, 3.3-3.3] stars in the terminated year), but did not pay more in monthly premiums with 66.5% (95% CI, 66.2%-66.8%) paying the same or lower premiums. In this cross-sectional study, 1 in 5 MA beneficiaries switched to TM after a contract termination, with Black beneficiaries and those with more intensive health needs having the highest switch rates. These findings highlight the need to examine consequences of contract terminations and subsequent insurance destinations on access to care and health outcomes, especially among those with marginalized race and ethnicity, those who are dual-eligible, and beneficiaries with higher health care needs.

Project description:BackgroundVision health is an important aspect of health worldwide. Visual impairment (VI) is associated with poor quality of life and is usually more prevalent in rural areas. To help rural populations obtain vision care, health insurance policies have emerged throughout the world. However, some existing literatures show that health insurance enrollment's impact on the overall physical health of rural population has been minimal. Focusing on vision health among adults in rural China, our study aims to investigates the impact of health insurance on vision health, heterogeneity of the effect, and the moderating effect of health insurance enrollment on the impact of chronic physical diseases and basic eye diseases on vision health.MethodsPrimary data were collected through a nation-wide epidemiological survey of vision health conducted in rural China in 2018, with a sample size of 28,787 used in our statistical analysis. Instrumental variables regression and Heckman selection models were conducted to examine the impact of health insurance enrollment and reimbursement ratio adults' vision health outcomes. Subsample regressions by sex, age, education level, and whether with eye diseases were further conducted to explore the heterogeneity in our results. We then examined whether health insurance enrollment moderates the impact of chronic physical diseases and basic eye diseases on vision health through the method of introducing interaction terms.ResultsParticipating in health insurance reduced the probability of VI by 2.15 %. The reimbursement rate increasing by 1 % point may reduce the probability of worsening VI by 6.12 %. Men (-0.0235, P = 0.0002) benefit more from insurance enrollment than women (-0.0201, P = 0.0082) with respect to vision health. From the young adult group to the oldest group, the marginal effect of health insurance increased from - 0.0068 (P = 0.0394) to -0.0753 (P < 0.0001). The marginal effect on VI was most significant in people with lower education levels and weakened with increased education levels. People with basic eye diseases (-0.0496, P = 0.0033) benefit more from participating insurance than the people without basic eye diseases (-0.0196, P = 0.0001) with respect to vision health. The moderating effects of health insurance enrollment on the impacts of cerebral infarction (-0.1225, P < 0.0001), diabetes (-0.0398, P = 0.0245), hyperlipidemia (-0.1364, P = 0.0271), mental illness (-0.1873, P = 0.0010), glaucoma (-0.1369, P = 0.0073), diabetic retinopathy (-0.1560, P = 0.0043), and retinal vein obstruction (-0.2018, P = 0.0155) on vision health were significantly negative.ConclusionsThe results suggest that participation in health insurance and higher health insurance reimbursement ratios reduced the risk of VI in the sampled adults. Health insurance has the most significant effect in in vulnerable groups. Heath insurance enrollment moderates the impacts of several chronic physical and basic eye conditions on vision health. Our findings have potential implications for reforming health insurance policies to improve vision health conditions in rural areas of developing countries.

Project description:BackgroundCommunity-based health insurance (CBHI) schemes have been introduced in low- and middle-income countries to increase health service utilization and provide financial protection from high healthcare expenditures.ObjectiveWe assess the impact of household size on decisions to enroll in CBHI and demonstrate how to correct for group disparity in scale (i.e. variance differences).MethodsA discrete choice experiment was conducted across five CBHI attributes. Preferences were elicited through forced-choice paired comparison choice tasks designed based on D-efficiency. Differences in preferences were examined between small (1-4 family members) and large (5-12 members) households using conditional logistic regression. Swait and Louviere test was used to identify and correct for differences in scale.ResultsOne-hundred and sixty households were surveyed in Northwest Cambodia. Increased insurance premium was associated with disutility [odds ratio (OR) 0.61, p < 0.01], while significant increase in utility was noted for higher hospital fee coverage (OR 10.58, p < 0.01), greater coverage of travel and meal costs (OR 4.08, p < 0.01), and more frequent communication with the insurer (OR 1.33, p < 0.01). While the magnitude of preference for hospital fee coverage appeared larger for the large household group (OR 14.15) compared to the small household group (OR 8.58), differences in scale were observed (p < 0.05). After adjusting for scale (k, ratio of scale between large to small household groups = 1.227, 95 % confidence interval 1.002-1.515), preference differences by household size became negligible.ConclusionDifferences in stated preferences may be due to scale, or variance differences between groups, rather than true variations in preference. Coverage of hospital fees, travel and meal costs are given significant weight in CBHI enrollment decisions regardless of household size. Understanding how community members make decisions about health insurance can inform low- and middle-income countries' paths towards universal health coverage.

Dataset Information

Enrollment in prescription drug insurance: the interaction of numeracy and choice set size.

Publications

Enrollment in prescription drug insurance: the interaction of numeracy and choice set size.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets