This study investigates whether higher input use per stay in the hospital (treatment intensity) and longer length of stay improve outcomes of care. We allow for endogeneity of intensity and length of stay by estimating a quasi-maximum-likelihood discrete factor model, where the distribution of the unmeasured variable is modeled using a discrete distribution. Data on elderly persons come from several waves of the National Long-Term Care Survey merged with Medicare claims data for 1984-1995 and the National Death Index. We find that higher intensity improves patient survival and some dimensions of functional status among those who survive
Statistical methodology and data analytics have avenues of exploring relationships among observed va...
While no hospitalization is inexpensive, some are extremely costly. Learning from these exceptions i...
This paper examines the use of patient health outcomes to measure quality differences across hospita...
Abstract——This study investigates whether higher input use per stay in the hospital (treatment inten...
ObjectivesTo measure value in the delivery of inpatient care and to quantify its variation across U....
Although implementation of the Medicare prospective payment system has been accompanied by significa...
Statistical models have been used to assess the influence of clinical and demographic factors on hos...
OBJECTIVES:To measure value in the delivery of inpatient care and to quantify its variation across U...
This paper studies the dynamics in end-of-life inpatients hospital expenses. A new model is proposed...
The proportion of elderly in the population has dramatically increased and will continue to do so fo...
There is limited knowledge on how excess demand for elderly care influences patient outcomes. We use...
Objective. Although an increasing fraction of Medicare beneficiaries die outside the hospital, the p...
Hypothesis: Although demographic and clinical information are known to affect hospital length of sta...
Economic theory suggests that income growth could lead to changes in consumption quantity and qualit...
Background: Clinicians, hospital managers, policy makers, and researchers are concerned about high c...
Statistical methodology and data analytics have avenues of exploring relationships among observed va...
While no hospitalization is inexpensive, some are extremely costly. Learning from these exceptions i...
This paper examines the use of patient health outcomes to measure quality differences across hospita...
Abstract——This study investigates whether higher input use per stay in the hospital (treatment inten...
ObjectivesTo measure value in the delivery of inpatient care and to quantify its variation across U....
Although implementation of the Medicare prospective payment system has been accompanied by significa...
Statistical models have been used to assess the influence of clinical and demographic factors on hos...
OBJECTIVES:To measure value in the delivery of inpatient care and to quantify its variation across U...
This paper studies the dynamics in end-of-life inpatients hospital expenses. A new model is proposed...
The proportion of elderly in the population has dramatically increased and will continue to do so fo...
There is limited knowledge on how excess demand for elderly care influences patient outcomes. We use...
Objective. Although an increasing fraction of Medicare beneficiaries die outside the hospital, the p...
Hypothesis: Although demographic and clinical information are known to affect hospital length of sta...
Economic theory suggests that income growth could lead to changes in consumption quantity and qualit...
Background: Clinicians, hospital managers, policy makers, and researchers are concerned about high c...
Statistical methodology and data analytics have avenues of exploring relationships among observed va...
While no hospitalization is inexpensive, some are extremely costly. Learning from these exceptions i...
This paper examines the use of patient health outcomes to measure quality differences across hospita...