Diabetes increases financial burden of individuals with traumatic spinal cord injury (TSCI).

STUDY DESIGN: Secondary analysis of existing data. OBJECTIVE: To estimate the association of diabetes with family income in a pooled 15-year cohort of individuals with TSCI. SETTING: A large specialty hospital in the southeastern United States. METHODS: A total number of 1408 individuals identified with TSCI were surveyed regarding family income as well as clinical and demographic factors. Due to income being reported in censored intervals rather than individual dollar values, interval regression was used to estimate models of the association of family income with diabetes. RESULTS: Approximately 12% of individuals with TSCI reported being diagnosed with diabetes. The most frequent family income interval in our sample was <$10,000, lower than the poverty threshold. The family income interval with the highest rate of diabetes was $15,000-$20,000. In an unadjusted model, diabetes was associated with a significant reduction of $8749 and in a fully adjusted model, diabetes was significantly associated with a reduction of $8560 in family income. Being a minority was also significantly associated with a reduction whereas educational attainment was associated with increased family income. TSCI severity was not significantly related to family income. CONCLUSION: Diabetes imposes an additional financial burden on individuals with TSCI an already vulnerable population with high health care costs. The burden is more pronounced in minorities with TSCI. Providers should be aware of the higher prevalence of diabetes among patients with TSCI and pursue a policy of testing early and vigilant management. Further studies are needed regarding special interventions for managing diabetes in the TSCI population.

Race-ethnicity and poverty after spinal cord injury.

STUDY DESIGN: Secondary analysis of existing data. OBJECTIVE: Our objective was to examine the relationship between race-ethnicity and poverty status after spinal cord injury (SCI). SETTING: A large specialty hospital in the southeastern United States. METHODS: Participants were 2043 adults with traumatic SCI in the US. Poverty status was measured using criteria from the US Census Bureau. RESULTS: Whereas only 14% of non-Hispanic White participants were below the poverty level, 41.3% of non-Hispanic Blacks were in poverty. Logistic regression with three different models identified several significant predictors of poverty, including marital status, years of education, level of education, age and employment status. Non-Hispanic Blacks had 2.75 greater odds of living in poverty after controlling for other factors, including education and employment. CONCLUSION: We may need to consider quality of education and employment to better understand the elevated risk of poverty among non-Hispanic Blacks in the US.

Delayed entry into employment after spinal cord injury: factors related to time to first job.

STUDY DESIGN: Data were cross-sectional and were collected by survey methodology. OBJECTIVES: To investigate factors predictive of length of time between spinal cord injury (SCI) onset and start of first post-injury employment and full-time employment. SETTING: A large specialty hospital in the Southeastern United States, with additional participant samples from two hospitals in the Midwestern United States. METHODS: Participants were identified from patient records at the participating hospitals. They met the following three exclusion/inclusion criteria: traumatic SCI, at least 18 years of age at time of survey, and a minimum of 1-year after SCI. Outcome measures were years from injury onset to beginning first post-injury job and years to first full-time post-injury job. Two separate models were developed for each outcome using a regression analysis. All those 10 years and more post-injury were censored (that is eliminated) in the analysis. RESULTS: Having a higher level of education, less severe injury, being Caucasian, and returning to the pre-injury employer were associated with a shorter interval to initiation of employment with 10-year censoring. In addition to these variables, gender was associated with time to return to first full-time job. CONCLUSION: The findings underscore the importance of using pre-injury education and opportunities to return to the pre-injury employer to minimize the length of time until initiation of employment after SCI.

Joint modeling of multiple longitudinal cost outcomes using multivariate generalized linear mixed models.

The common approach to modeling healthcare cost data is to use aggregated total cost from multiple categories or sources (e.g. inpatient, outpatient, prescriptions, etc.) as the dependent variable. However, this approach could hide the differential impact of covariates on the different cost categories. An alternative is to model each cost category separately. This could also lead to wrong conclusions due to failure to account for the interdependence among the multiple cost outcomes. Therefore, we propose a multivariate generalized linear mixed model (mGLMM) that allows for joint modeling of longitudinal cost data from multiple sources. We assessed four different approaches, (1) shared random intercept, (2) shared random intercept and slope, (3) separate random intercepts from a joint multivariate distribution, and (4) separate random intercepts and slopes from a joint multivariate distribution. Each of these approaches differs in the way they account for the correlation among the multiple cost outcomes. Comparison was made via goodness of fit measures and residual plots. Longitudinal cost data from a national cohort of 740,195 veterans with diabetes (followed from 2002-2006) was used to demonstrate joint modeling. Among examined models, the separate random intercept approach exhibited the lowest AIC/BIC in both log-normal and gamma GLMMs. However, for our data example, the shared random intercept approach seemed to be sufficient as the more complex models did not lead to qualitatively different conclusions.

Has DRG payment influenced the technical efficiency and productivity of diagnostic technologies in Portuguese public hospitals? An empirical analysis using parametric and non-parametric methods.

The use of Diagnosis Related Groups (DRG) as a mechanism for hospital financing is a currently debated topic in Portugal. The DRG system was scheduled to be initiated by the Health Ministry of Portugal on January 1, 1990 as an instrument for the allocation of public hospital budgets funded by the National Health Service (NHS), and as a method of payment for other third party payers (e.g., Public Employees (ADSE), private insurers, etc.). Based on experience from other countries such as the United States, it was expected that implementation of this system would result in more efficient hospital resource utilisation and a more equitable distribution of hospital budgets. However, in order to minimise the potentially adverse financial impact on hospitals, the Portuguese Health Ministry decided to gradually phase in the use of the DRG system for budget allocation by using blended hospital-specific and national DRG case-mix rates. Since implementation in 1990, the percentage of each hospital's budget based on hospital specific costs was to decrease, while the percentage based on DRG case-mix was to increase. This was scheduled to continue until 1995 when the plan called for allocating yearly budgets on a 50% national and 50% hospital-specific cost basis. While all other non-NHS third party payers are currently paying based on DRGs, the adoption of DRG case-mix as a National Health Service budget setting tool has been slower than anticipated. There is now some argument in both the political and academic communities as to the appropriateness of DRGs as a budget setting criterion as well as to their impact on hospital efficiency in Portugal. This paper uses a two-stage procedure to assess the impact of actual DRG payment on the productivity (through its components, i.e., technological change and technical efficiency change) of diagnostic technology in Portuguese hospitals during the years 1992-1994, using both parametric and non-parametric frontier models. We find evidence that the DRG payment system does appear to have had a positive impact on productivity and technical efficiency of some commonly employed diagnostic technologies in Portugal during this time span.