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Likelier

Arrepentimiento por actuar o por no actuar

Contratar un seguro de cuidado a largo plazo en los 50 vs. autoasegurarse y depender de activos o Medicaid

Si actúas

Contratar un seguro de dependencia

25%

Si no actúas

Autoasegurarse o depender de la asistencia pública

62%

Porcentaje de quienes luego se arrepienten de cada elección. Las barras y el registro completo aparecen abajo.


Financiero

Última revisión 2026-05-13

Calidad de la evidencia 4.13/5

Puntuación de revisión en ocho dimensiones según la rúbrica de calidad . Cada dimensión puntuada de 1 a 5.

D1 Verificación de fuentes
3/5
D2 Autoridad e independencia de las fuentes
4/5
D3 Precisión de la tasa de arrepentimiento
3/5
D4 Comparabilidad de las fuentes
3/5
D5 Patrón de Gilovich
5/5
D6 Calidad de la prosa
5/5
D7 Completitud de las advertencias
5/5
D8 Calidad de la muestra
5/5
Media 4.13/5
A policy document and a piggy bank side by side on a table
Datos sustitutos — no existe ninguna encuesta directa sobre el arrepentimiento para esta decisión. Las tasas se derivan de puntuaciones de satisfacción y datos de barreras de acceso en lugar de preguntas que preguntaban directamente sobre el arrepentimiento. Ver advertencias más abajo.

Arrepentimiento por acción

Contratar un seguro de dependencia

25%

Más de 1 de cada 4 compradores que adquieren la póliza a los 65 años la dejan caducar antes de morir, perdiendo todas las primas pagadas sin obtener ningún beneficio

Asegurados estadounidenses de seguro de cuidado a largo plazo

análisis retrospectivo de caducidad, datos de la industria hasta 2022

Arrepentimiento por inacción

Autoasegurarse o depender de la asistencia pública

62%

El 62% de los residentes de residencias de ancianos que pagan por su cuenta y permanecen 4+ años agotan todos sus activos hasta caer en Medicaid

Adultos estadounidenses mayores de 65 años que necesitaron cuidado a largo plazo sin seguro

retrospectivo, datos de la industria hasta 2024

% que se arrepienten de esta elección

inaction dominates — Domina la inacción — la mayoría se arrepiente de no actuar.

Decisiones relacionadas

Decisiones semánticamente similares — mismo terreno, distintos compromisos.

Financiero

Apelar denegación del seguro

% que se arrepienten de esta elección

Inacción dominante

Arrepentimiento por inacción 3.1× mayor

Financiero

Seguro a término vs. seguro de vida entera

% que se arrepienten de esta elección

Inacción dominante

Arrepentimiento por inacción 6.4× mayor

Financiero

Seguro de discapacidad

% que se arrepienten de esta elección

Inacción dominante

Arrepentimiento por inacción 2.7× mayor

Financiero

Abogado para reclamación por lesiones de auto

% que se arrepienten de esta elección

Acción dominante

Arrepentimiento por acción 2.2× mayor

FinancieroDirecta

Comprar casa

% que se arrepienten de esta elección

Inacción dominante

Arrepentimiento por inacción 5.6× mayor

family

Residencia vs. cuidado en casa

% que se arrepienten de esta elección

Acción dominante

Arrepentimiento por acción 2.3× mayor

Financiero

Negociación de factura médica

% que se arrepienten de esta elección

Inacción dominante

Arrepentimiento por inacción 7.6× mayor

Salud

Momento del testamento vital

% que se arrepienten de esta elección

Inacción dominante

Arrepentimiento por inacción 10.0× mayor

Riesgos detrás de esta decisión

Las probabilidades que sustentan esta elección.

The US Department of Health and Human Services (Administration for Community Living) estimates that someone turning 65 today has almost a 70% chance of needing some type of long-term care, and that 20% will need it for longer than five years. For those who self-insure and then need extended care, the financial outcome is stark: a JAMA Network Open cohort study of 191,416 nursing home residents (2018-2022) found that among self-payers who entered without Medicaid and remained four years, 61.8% had spent down all their assets onto Medicaid. Against that, the action path carries its own loss: the Center for Retirement Research at Boston College finds that more than one quarter of people who buy long-term care insurance at age 65 let the policy lapse before death, forfeiting all previously paid premiums and receiving no benefit unless a non-forfeiture rider was purchased at additional cost.

The market context matters. The traditional LTC insurance market has contracted sharply as major insurers exited after severe losses from underpriced legacy products, and the CareScout (formerly Genworth) Cost of Care data put a private nursing home room near $9,581-$10,798 per month in 2025 — figures that make even a few years of care potentially catastrophic for middle-income households without coverage. The Medicaid spend-down requirement that triggers coverage only after near-total asset depletion means that self-insuring is not a neutral default: it is a choice to absorb the full cost of care, which the spend-down data show most long-stay residents cannot do without exhausting their savings.

The action-regret dynamic here is unusual: LTC insurance is a product where the primary form of regret is the policy lapsing, not the initial purchase itself. Someone who purchases at 55 and maintains coverage through their late 70s when care is needed rarely regrets the decision; the lapse rate captures those for whom the ongoing cost became prohibitive before benefits could be used. The product’s financial risks are therefore concentrated in the action path’s continuation costs rather than its initial decision. The two rates are not strictly comparable: the 62% spend-down figure is conditional on a four-year nursing home stay (the overall spend-down rate across all stay lengths is 16.4%), while the action lapse figure is across all buyers — so the headline gap overstates how often a typical self-insurer is wiped out. LTC insurance is most clearly relevant for the “middle-wealth” bracket: those with minimal assets qualify for Medicaid immediately without a spend-down, and those with substantial wealth can absorb care costs without devastation, so the product’s value is concentrated in the range between those two floors.

Fuentes: acción

Registro de evidencia

Cada número a continuación es lo que reportó cada fuente, con la cita textual en la que nos basamos y cómo llegamos a nuestra cifra. Haz clic en cualquier enlace para verificarlo directamente.

1/3 fuentes verificadas de forma independiente palabra por palabra frente a la fuente citada

  1. [1] Center for Retirement Research at Boston College (Hou, Sun & Webb, Issue in Brief 15-17) — Why Do People Lapse Their Long-Term Care Insurance? Verificado
    Why Do People Lapse Their Long-Term Care Insurance?
    Estadística
    More than one quarter (~25%+) of people who buy long-term care insurance at age 65 lapse their policy before death, forfeiting all benefits; about one in four policyholders who eventually enter a nursing home had lapsed within the previous four years
    Extracto
    “"More than one quarter of those who buy long-term care insurance at age 65 will let their policies lapse at some point, forfeiting all benefits." The Center for Retirement Research further reports that "about one in four older people with a policy who eventually go into a nursing home had let that policy lapse sometime in the previous four years" -- forfeiting coverage that would have paid for their care. The brief identifies financial hardship (low wealth and income) and cognitive impairment as the main drivers of lapse, and finds that those who lapse are more likely to subsequently use care, i.e., they lose coverage precisely when they need it most. ”
    Datos de la fuente de
    2015-10-01
    Accedido
    2026-06-30
    Verificación
    Extracto recuperado de forma independiente y confirmado palabra por palabra frente a la fuente citada durante nuestra auditoría de fundamentación.
    Cálculo
    Source replaced 2026-06-30: the prior AALTCI citation could not support the 25% lapse figure (AALTCI publishes ~95% annual persistency as a success story and the specific "25% in 10 years" claim was not directly citable). The Center for Retirement Research at Boston College (Hou, Sun & Webb, "Why Do People Lapse Their Long-Term Care Insurance?", Issue in Brief 15-17, based on Health and Retirement Study data) directly states that "more than one quarter of those who buy long-term care insurance at age 65 will let their policies lapse at some point, forfeiting all benefits." This is the verbatim basis for the action-side regret_rate of 0.25: lapse = premiums paid for no benefit. The display is the lapse construct (a financial-harm proxy), not a direct "do you regret buying" survey; proxy_only is set true.
  2. [2] CareScout (formerly Genworth Financial Cost of Care Survey) — Cost of Long Term Care by State — CareScout Cost of Care Report
    Cost of Long Term Care by State — CareScout Cost of Care Report
    Estadística
    2025 national median nursing home cost: $9,581-$10,798/month; assisted living $6,200/month; non-medical caregiver services $35/hour
    Extracto
    “[Genworth's Cost of Care data migrated to CareScout; original Genworth URL redirects to carescout.com as of 2026-05-14.] CareScout (the successor to Genworth's Cost of Care survey) reports 2025 national median costs for long-term care: private nursing home rooms at approximately $9,581-$10,798 per month; assisted living at $6,200 per month; and non-medical caregiver services at $35 per hour. These figures represent the scale of the financial risk that the inaction (self-insure) path bears. The 2023 equivalent was approximately $108,408 per year ($9,034/month) for a private nursing home room, as widely reported in 2023 LTC planning sources. ”
    Datos de la fuente de
    2025-01-01
    Accedido
    2026-05-14
    Cálculo
    URL corrected 2026-05-14: Genworth's Cost of Care survey has migrated to CareScout (carescout.com); the original Genworth URL redirects there with a 301. The CareScout page loads successfully and contains current LTC cost data. The $108,408/year figure cited in the original entry was the 2023 Genworth figure; the 2025 CareScout data shows slightly higher costs (~$9,581-$10,798/month). This source establishes the financial scale of the inaction path's risk (the cost a self-insurer must absorb) and does not independently supply either side's regret rate.
  3. [3] US Department of Health and Human Services, Office of the Assistant Secretary for Planning and Evaluation (ASPE) — Exiting the Market: Understanding the Factors behind Carriers' Decision to Leave the Long-Term Care Insurance Market
    Exiting the Market: Understanding the Factors behind Carriers' Decision to Leave the Long-Term Care Insurance Market
    Estadística
    Of 102 companies selling LTC insurance policies in 2002, most had exited the market by 2009; carriers cited underpriced legacy assumptions (voluntary lapse rates that turned out far lower than priced, falling interest rates, and worse-than-expected morbidity) as the main drivers of exit
    Extracto
    “"In 2002, there were 102 companies selling policies[;] by 2009, most of these companies had exited the market." Contributing causes included that "voluntary lapse rates priced into initial policies were much higher than what they ultimately turned out to be," declining investment yields ("between 1992 and 2002, yields on Corporate Bonds were typically above 6.5% whereas in 2003, they began a precipitous decline such that by 2010, they had fallen to below 5%"), and morbidity that "was worse than expected" for about half of surveyed carriers. ”
    Datos de la fuente de
    2013-06-30
    Accedido
    2026-07-03
    Cálculo
    HHS/ASPE analysis of LTC insurer exit decisions. Added to ground the body-prose claim "the traditional LTC insurance market has contracted sharply as major insurers exited after severe losses from underpriced legacy products," previously stated without a supporting frontmatter source. Same government department (HHS) as the ACL source below but a distinct sub-agency report on insurer-side market history rather than consumer-side care needs; does not itself supply either side's regret rate.

Fuentes: inacción

Registro de evidencia

Cada número a continuación es lo que reportó cada fuente, con la cita textual en la que nos basamos y cómo llegamos a nuestra cifra. Haz clic en cualquier enlace para verificarlo directamente.

1/2 fuentes verificadas de forma independiente palabra por palabra frente a la fuente citada

  1. [1] US Department of Health and Human Services, Administration for Community Living — How Much Care Will You Need?
    How Much Care Will You Need?
    Estadística
    Someone turning 65 today has almost a 70% chance of needing some type of long-term care; 20% will need it for longer than 5 years; average use of any services is about 3 years
    Extracto
    “"Someone turning age 65 today has almost a 70% chance of needing some type of long-term care services and supports in their remaining years. Women need care longer (3.7 years) than men (2.2 years). One-third of today's 65 year-olds may never need long-term care support, but 20 percent will need it for longer than 5 years." The accompanying distribution table reports that, on average, people who use any long-term care services use them for about 3 years (69% use some services over their remaining life). ”
    Datos de la fuente de
    2020-02-18
    Accedido
    2026-06-30 · copia archivada
    Cálculo
    Excerpt and statistic corrected 2026-06-30. The prior version quoted a sentence ("44% exhaust their personal assets... within the first 2 years") that does NOT appear on this ACL page and could not be attributed to ACL -- it was removed as fabricated. The live ACL URL returns 403 to automated fetchers; the verbatim text above was confirmed against the Wayback capture (archive_url, 2024-12-30). This govt_report establishes the magnitude of the inaction-side exposure: ~70% of 65-year-olds will need long-term care and 20% will need it more than 5 years -- i.e., a large majority face the cost the self-insure path must absorb. It does not by itself supply the spend-down regret rate; that comes from the JAMA Network Open source below.
  2. [2] JAMA Network Open (Aboulafia, Chen & Grabowski), December 2025 — Asset Spend-Down and Medicaid Enrollment in Nursing Homes Verificado
    Asset Spend-Down and Medicaid Enrollment in Nursing Homes
    Estadística
    Among nursing home residents who entered without Medicaid (n=126,626), 16.4% spent down their assets onto Medicaid (mean 6.1 months); among those who remained 4 years, 61.8% had spent down to Medicaid
    Extracto
    “"Of those who were initially non-Medicaid enrolled, 16.4% (20 773 of 126 626) spent down their assets and became Medicaid enrolled" and "the mean (SD) time until spend-down was approximately 6.1 (7.9) months." Among residents who initially entered without Medicaid and remained in a facility, "by 4 years, 61.8% (2871 of 4644) had done so." The cohort followed 191,416 residents with traditional Medicare who newly entered nursing homes in 2018, through 2022. ”
    Datos de la fuente de
    2025-12-04
    Accedido
    2026-06-30
    Verificación
    Extracto recuperado de forma independiente y confirmado palabra por palabra frente a la fuente citada durante nuestra auditoría de fundamentación.
    Cálculo
    Source replaced 2026-06-30. The prior LIMRA "2024 Insurance Barometer Study" citation was fabricated: that study is about life-insurance understanding and contains no "44% wished they had purchased LTC insurance earlier" figure (no LIMRA abstract or secondary coverage reports it). It was removed. This peer-reviewed JAMA Network Open cohort study (Aboulafia, Chen & Grabowski, 191,416 residents, 2018-2022) supplies the honest inaction-side harm proxy: among self-payers who entered nursing care without Medicaid and remained 4 years (i.e., those with genuine extended LTC need -- the population this side describes), 61.8% spent down all assets onto Medicaid. The inaction regret_rate is set to 0.62 (the verbatim 61.8% four-year figure), replacing the manufactured 0.44 convergence. This is a financial-harm proxy (asset exhaustion), not a direct regret survey; proxy_only is true.

Advertencias

Ambos lados son proxies de daño financiero, no encuestas directas de "¿se arrepiente de esta decisión?" (proxy_only). La tasa de acción es la tasa de caducidad de la póliza -- "más de una cuarta parte" de los compradores a los 65 años la dejan caducar antes de morir y pierden todos los beneficios (Center for Retirement Research). No todos los que dejan caducar la póliza se arrepienten de su compra original; algunos obtuvieron atención por otra vía, se recuperaron financieramente o murieron antes de necesitar los beneficios. La tasa de inacción (62%) es la proporción de residentes de residencias de ancianos que pagan por su cuenta y agotaron todos sus activos hasta caer en Medicaid a los 4 años (JAMA Network Open, cohorte 2018-2022); está condicionada a una estancia de 4 años, por lo que describe a quienes tienen una necesidad genuina de atención prolongada, no a todos los que se autoaseguran -- la tasa global de agotamiento de activos en todas las duraciones de estancia en el mismo estudio es mucho menor (16.4%, media de 6 meses), porque la mayoría de las estancias son cortas. Por tanto, las dos tasas no son directamente comparables entre poblaciones idénticas, y la entrada ya no afirma ninguna "convergencia del 44%" entre fuentes (esa afirmación previa se eliminó por carecer de respaldo). El seguro de cuidados a largo plazo es relevante sobre todo para el tramo de "riqueza media": los ricos pueden autoasegurarse sin dificultades materiales; quienes tienen activos mínimos califican de inmediato para Medicaid sin agotamiento. La volatilidad de las primas (aumentos aprobados por el estado en pólizas heredadas) hace que el arrepentimiento de acción dependa del momento y sea específico del producto. Las pólizas híbridas de vida/cuidados a largo plazo y las de beneficio de corta duración tienen perfiles de riesgo distintos del producto tradicional de beneficio indefinido que describe esta entrada. Esta entrada es distinta del par disability-insurance-vs-skip (reemplazo de ingresos en edad laboral) y del par term-vs-whole-life-insurance (prestación por fallecimiento).

Datos brutos: /api/decisions.json

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