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Record W2489250579

Medicare Health Accounts: A New Policy Option to Help Adults Save for Health Care Expenses Not Covered by Medicare

2005· article· en· W2489250579 on OpenAlexaboutno aff
Sara R. Collins, Alyssa L. Holmgren, Karen Davis, Sabrina K. H. How

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicFinancial Literacy, Pension, Retirement Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsHealth careBusinessQuarter (Canadian coin)Actuarial scienceMedicineEconomicsEconomic growth
DOInot available

Abstract

fetched live from OpenAlex

U.S. health care costs are climbing by 7 percent a year and are expected to continue to outpace growth in the economy over the next decade. Rapid medical cost inflation disproportionately affects those with the greatest health care needs and the most exposure to health costs. Among those at greatest risk are older adults. While Medicare was designed to protect people over age 65 from health costs and facilitate access to needed services, the program has substantial costsharing requirements and does not cover such high-cost services as long-term care. Medicare beneficiaries spend 22 percent of their incomes on premiums and out-of-pocket medical expenses—a figure that is projected to increase to 30 percent by 2025. In 2004, Medicare Part B monthly premiums for physician and other services averaged $67, while premiums for private supplemental insurance ranged from $144 to $230. Employer retiree health benefits have provided relief to some retirees, but in the past few years many employers have limited benefits or dropped them altogether. While savings will increasingly be needed to fill the gaps in Medicare benefits, Americans are saving less than ever before. In 2004, personal savings dropped to just 1 percent of household disposable income, down from a peak of 11 percent 20 years earlier. New strategies are needed to encourage people to save more for their retirement.The Commonwealth Fund Survey of Older Adults, a nationally representative sample of 2,007 adults ages 50 to 70 conducted in late 2004, asked respondents about their interest in new savings accounts that could be created within the Medicare program. Such accounts would allow people to automatically save for health costs that are not currently covered by Medicare. With Medicare Health Accounts, up to 1 percent of earnings could be deducted automatically from people’s paychecks and placed in an account in the Medicare program. The savings could then be used by people in their retirement to cover costs of long-term care, home health, and other costs not covered by Medicare. Among older adults in households in which at least one member was working, nearly seven of 10 (69%) said they would be interested in having a Medicare Health Account (Figure 1). Respondents were asked whether they would be interested in having 1 percent of their or their spouse’s earnings deducted from their paycheck, tax-free, and placed in their own Medicare account to use for long-term care or other expenses not covered by Medicare. There was broadbased, majority interest in the proposal across income groups, regions of the country, and health status. Democrats, Republicans, and Independents expressed equally high rates of interest (Figure 2). Similarly, interest among older adults with incomes of less than $20,000 was nearly as high as that among older adults with incomes of $60,000 or more (Figure 3). Interest was greatest among the youngest in the age range. More than three-quarters (76%) of older adults under age 55

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.019
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.201
Threshold uncertainty score0.671

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.019
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0020.000
Scholarly communication0.0040.006
Open science0.0020.003
Research integrity0.0070.003
Insufficient payload (model declined to judge)0.2010.114

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.014
GPT teacher head0.299
Teacher spread0.285 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2005
Admission routes1
Has abstractyes

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