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Much has been written about the relationship between high medical expenses and the likelihood of filing for bankruptcy, but the relationship between receiving a cancer diagnosis and filing for bankruptcy is less well understood. We estimated the incidence and relative risk of bankruptcy for people age twenty-one or older diagnosed with cancer compared to people the same age without cancer by conducting a retrospective cohort analysis that used a variety of medical, personal, legal, and bankruptcy sources covering the Western District of Washington State in US Bankruptcy Court for the period 1995-2009. We found that cancer patients were 2.65 times more likely to go bankrupt than people without cancer. Younger cancer patients had 2-5 times higher rates of bankruptcy than cancer patients age sixty-five or older, which indicates that Medicare and Social Security may mitigate bankruptcy risk for the older group. The findings suggest that employers and governments may have a policy role to play in creating programs and incentives that could help people cover expenses in the first year following a cancer diagnosis.

Objective: To evaluate the impact of an ambulatory computerized provider order entry (CPOE ) system on the time efficiency of prescribers. Two primary aims were to compare prescribing time between (1) handwritten and electronic (e-) prescriptions and (2) e-prescriptions using differing hardware configurations., Data Sources/study Setting: Primary data on prescribers/staff were collected (2005-2007) at three primary care clinics in a community based, multispecialty health system., Study Design: This was a quasi-experimental, direct observation, time-motion study conducted in two phases. In phase 1 (n=69 subjects), each site used a unique combination of CPOE software/hardware (paper-based, desktops in prescriber offices or hallway workstations, or laptops). In phase 2 (n=77), all sites used CPOE software on desktops in examination rooms (at point of care)., Data Collection Methods: Data were collected using TimerPro software on a Palm device., Principal Findings: Average time to e-prescribe using CPOE in the examination room was 69 seconds/prescription-event (new/renewed combined)-25 seconds longer than to handwrite (99.5 percent confidence interval [CI] 12.38), and 24 seconds longer than to e-prescribe at offices/workstations (99.5 percent CI 8.39). Each calculates to 20 seconds longer per patient., Conclusions: E-prescribing takes longer than handwriting. E-prescribing at the point of care takes longer than e-prescribing in offices/workstations. Improvements in safety and quality may be worth the investment of time.

Objective: To estimate the prevalence of medical debt among traumatic brain injury (TBI) and spinal cord injury (SCI) patients who discharged their debts through bankruptcy., Design: A cross-sectional comparison of bankruptcy filings of injured versus randomly selected bankruptcy petitioners., Setting: Patients hospitalized with SCI or TBI (1996-2002) and personal bankruptcy petitioners (2001-2004) in western Washington State., Participants: Subjects (N=186) who filed for bankruptcy, comprised of 93 patients with previous SCI or TBI and 93 randomly selected bankruptcy petitioners., Interventions: Not applicable., Main Outcome Measures: Medical and nonmedical debt, assets, income, expenses, and employment recorded in the bankruptcy petition., Results: Five percent of randomly selected petitioners and 26% of petitioners with TBI or SCI had substantial medical debt (debt that accounted for more than 20% of all unsecured debts). SCI and TBI petitioners had fewer assets and were more likely to be receiving government income assistance at the time of bankruptcy than controls. SCI and TBI patients with a higher blood alcohol content at injury were more likely to have substantial medical debts (odds ratio=2.70; 95% confidence interval, 1.04-7.00)., Conclusions: Medical debt plays an important role in some bankruptcies after TBI or SCI. We discuss policy options for reducing financial distress after serious injury.

Modern burn care is a resource intensive endeavor requiring specialized equipment, personnel, and facilities in order to provide optimum care. The costs associated with burn injury to both patients and society as a whole can be multifaceted and large. The purpose of this study was to evaluate the association between hospital costs, patient characteristics, and injury factors in a cohort of pediatric patients admitted to a regional burn center. We performed a review of the hospital charges accrued by pediatric patients (age <16 years) admitted to our burn center from 1994 to 2004 and explored the relationship between baseline patient, injury and hospital course characteristics and total costs. Hospital charges were converted to 2005 dollar costs using an inflation index and a cost to charge ratio. Univariate and multivariate regressions were performed to identify the factors most significantly associated with cost. In addition, we performed a subset cost analysis for patients with burns more than 20% TBSA. A total of 1443 pediatric patients (age <16) were admitted to our burn center during the study period. The overall mean hospital cost in 2005 dollars was dollars 9026 (SD = dollars 25,483; median = dollars 2138). Area of full thickness burn was the only patient or injury factor significantly associated with greater hospital costs (P < .05) on multivariate analysis. No single anatomic area was associated with increased hospital costs when adjusted for total overall burn size. Injury severity was the most significant factor impacting index hospitalization costs following pediatric burn injury. Further studies defining the long-term societal costs impact of burn injury are needed as are studies that evaluate the impact of burn injury on quality of life.

Recent research has derived preference scores from the SF-36. We compare the practicality and construct validity of SF-36 derived preference scores with directly elicited time trade off (TTO) and visual analogue scale (VAS) scores. In this observational study, low back pain (LBP), patients were asked to complete disease specific, generic (SF-36), and health state preference (VAS and TTO) instruments. Baseline SF-36 responses were converted to preference scores using six published algorithms. Response rates for the SF-36 derived and TTO preference values were 354 of 379 (93%) and 303 of 379 (80%), respectively. Thirty patients were excluded from the TTO exercise because of difficulties comprehending the scaling task. Choice based methods (standard gamble, TTO) yielded higher and more uniform estimates of preference (0.77-0.79) than non-choice based methods (VAS) (0.42-0.70). Directly elicited TTO values were variable and had less power to distinguish among patients with differing severity of LBP. All SF-36 derived preferences exhibited a minimum threshold implying a potential floor effect for severely ill patients. SF-36 derived preferences demonstrated good practicality and construct validity in this setting, however different methods will yield disparate estimates of marginal benefit. This emphasises the need for a standardised algorithm for deriving SF-36 preference scores., (Copyright 2001 John Wiley & Sons, Ltd.)