Life Expectancy Estimates in the Life Care Plan: Accounting for Economic Factors

Objective: The purpose of this study was to summarize the existing scientific literature on the relationship between economic factors and life expectancy (LE) after spinal cord injury (SCI), present new data on the relationship between household income and LE, and present a revised theoretical risk model to account for the observed relationships. Research Design: Data were from a prospective cohort study of 1386 participants with SCI which began in 1997. Mortality status was determined 10 years later. Person year logistic regression was used to evaluate predictors of mortality and to generate LE estimates, as each year of follow-up was treated as a separate observation (rather than a single observation per person). Results: Results indicated significant relationships between age, injury severity, household income and LE, which suggest the need for more refined models of economic factors and LE. Conclusions: LE estimates in life care plans need to account for economic factors in order to improve accuracy. It is important to allocate resources to meet all healthcare needs throughout the lifecycle to ensure that LE is not compromised.

Authors

Publication Details

Journal
Journal of Life Care Planning
Published
2025-11-30
DOI
https://doi.org/10.70385/001c.151442
Primary Topic
Spinal Cord Injury Research
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Life Expectancy Estimates in the Life Care Plan: Accounting for Economic Factors

James S. Krause, Lee L. Saunders
Journal of Life Care Planning
Spinal Cord Injury Research
article

Life Expectancy Estimates in the Life Care Plan: Accounting for Economic Factors

James S. Krause, Lee L. Saunders
article en

Abstract

Objective: The purpose of this study was to summarize the existing scientific literature on the relationship between economic factors and life expectancy (LE) after spinal cord injury (SCI), present new data on the relationship between household income and LE, and present a revised theoretical risk model to account for the observed relationships. Research Design: Data were from a prospective cohort study of 1386 participants with SCI which began in 1997. Mortality status was determined 10 years later. Person year logistic regression was used to evaluate predictors of mortality and to generate LE estimates, as each year of follow-up was treated as a separate observation (rather than a single observation per person). Results: Results indicated significant relationships between age, injury severity, household income and LE, which suggest the need for more refined models of economic factors and LE. Conclusions: LE estimates in life care plans need to account for economic factors in order to improve accuracy. It is important to allocate resources to meet all healthcare needs throughout the lifecycle to ensure that LE is not compromised.

Journal of Life Care PlanningVol. 9(2)
Medical University of South Carolina, University of South Carolina
Openalex Percentile: Top 49%
Spinal Cord Injury Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Life Expectancy Estimates in the Life Care Plan: Accounting for Economic Factors — James S. Krause, Lee L. Saunders · Journal of Life Care Planning (2025) | TGRS Research Map | TGRS