Skip to main content
. 2024 Nov 29;2(12):qxae160. doi: 10.1093/haschl/qxae160

Table 2.

Regression-adjusted differences in LLOS between for-profit and not for-profit hospice enrollees (2000-2019).

  (1) (2) (3) (4)
  LLOS LLOS LLOS LLOS
  (#) (#) (#) (#)
Is for profit (1/0) 0.466*** 0.326*** 0.163*** 0.210***
(0.026) (0.043) (0.058) (0.057)
Estimator PPML PPML PPML PPML
Coef. interpretation Log Δ Log Δ Log Δ Log Δ
Decedents only N N N N
Base FE N Y N N
Base × Referrer FE N N Y N
Base × Referrer × Med. FE N N N Y
Mean of Y 62.702 62.702 62.702 62.702
#[Hospice clusters] 5005 5005 5005 5005
#[Referrer clusters] 21 141 21 141 21 141 21 141
#[Effective observations] 2 878 139 2 878 139 2 878 139 2 878 139

Abbreviation: LLOS, longer lifetime lengths-of-stay.

This table reports estimates from our regression analysis. It shows that for-profit hospice enrollees have longer LLOS than not for-profit hospice enrollees, even after accounting for a progressively richer set of pre-hospice characteristics. Referrer and hospice-level cluster-robust SEs in parentheses. *P < 0.10; **P < 0.05; ***P < 0.01. Base FE refers to enrollment year, county of residence, sex, race, MA enrollment, and hospice opening year fixed effects. Base × Referrer FE refers to adding institutional referral source fixed effect interactions. Base × Referrer × Med. FE refers to adding medical condition fixed effect interactions. Mean of Y reports the sample average value of the outcome. The effective number of observations is the number of observations remaining after dropping observations with missing values, singletons, and observations separated by a fixed effect.19 Source: authors' analysis of Medicare data.