Variation in Diabetes Management: A National Assessment of Primary Care Providers.

BACKGROUND: Glucose control is monitored primarily through ordering HbA1c levels, which is problematic in patients with glycemic variability. Herein, we report on the management of these patients by board-certified primary care providers (PCPs) in the United States. METHODS: We measured provider practice in a representative sample of 156 PCPs. All providers cared for simulated patients with diabetes presenting with symptoms of glycemic variability. Provider responses were reviewed by trained clinicians against evidence-based care standards and accepted standard of care protocols. RESULTS: Care varied widely-overall quality of care averaged 51.3%±10.6%-with providers performing just over half the evidence-based practices necessary for their cases. More worryingly, provider identified the underlying etiology of the poor glycemic control only 36.3% of the time. HbA1c was routinely ordered in 91.3% of all cases but often (59.5%) inappropriately. Ordering other tests of glycemic control (done in 15% of cases) led to significant increases in identifying the etiology of the hyperglycemia. Correctly modifying their patient's treatment was more likely to occur if doctors first identified the underlying etiology (65.9% vs 49.0%, P<0.001). We conservatively estimated a US $65/patient/visit in unnecessary testing and US $389 annually in additional care costs when the etiology was missed, translating potentially into millions of dollars of wasteful spending. CONCLUSION: Despite established evidence that HbA1c misses short-term changes in diabetes, we found PCPs consistently ordered HbA1c, rarely using other available blood tests. However, if the factors leading to poor glycemic control were recognized, PCPs were more likely to correctly alter their patient's hypoglycemic therapy.

Reducing Unwarranted Oncology Care Variation Across a Clinically Integrated Network: A Collaborative Physician Engagement Strategy.

PURPOSE: Addressing unwarranted clinical variation in oncology is a high priority for health systems that aspire to ensure consistent levels of high-quality and cost-effective care. Efforts to improve clinical practice and standardize care have proven challenging. Advocate Physician Partners undertook a patient simulation-based practice measurement and feedback project that was focused on breast and lung cancer to engage oncologists in the care standardization process. METHODS: One hundred three medical oncologists cared for online simulated patients using the Clinical Performance and Value platform, receiving feedback on how their care decisions compared with evidence-based guidelines and their peers. We repeated this process every 4 months over six rounds, measuring changes in quality-of-care scores. We then compared simulated patient results with available patient-level claims data. RESULTS: Over the course of the project, overall quality-of-care scores improved 11.9% (P < .001). Diagnostic accuracy increased 6.7% (P < .001) and correlated with improved treatment scores, including a nearly 10-percentage point increase in evidence-based chemotherapy regimens (P = .009) and a 56% increase in addressing palliative needs for patients with late-stage disease (P < .001). Unnecessary test ordering declined 25% (P < .001). We compared these results with available patient data and observed concordance with the metastatic imaging workup order rate for early-stage breast cancer. As unnecessary workups declined in the simulations and became more closely aligned with evidence-based guidelines, we saw similar rates of decline in the patient-level data. CONCLUSION: This study demonstrates that an oncology care standardization system that combines simulated patients with serial feedback increases evidence-based and cost-effective clinical decisions in patient simulations and patient-level data.

Improving Clinical Practice Using a Novel Engagement Approach: Measurement, Benchmarking and Feedback, A Longitudinal Study.

BACKGROUND: Poor clinical outcomes are caused by multiple factors such as disease progression, patient behavior, and structural elements of care. One other important factor that affects outcome is the quality of care delivered by a provider at the bedside. Guidelines and pathways have been developed with the promise of advancing evidence-based practice. Yet, these alone have shown mixed results or fallen short in increasing adherence to quality of care. Thus, effective, novel tools are required for sustainable practice change and raising the quality of care. METHODS: The study focused on benchmarking and measuring variation and improving care quality for common types of breast cancer at four sites across the United States, using a set of 12 Clinical Performance and Value(®) (CPV(®)) vignettes per site. The vignettes simulated online cases that replicate a typical visit by a patient as the tool to engage breast cancer providers and to identify and assess variation in adherence to evidence-based practice guidelines and pathways. RESULTS: Following multiple rounds of CPV measurement, benchmarking and feedback, we found that scores had increased significantly between the baseline round and the final round (P < 0.001) overall and for all domains. By round 4 of the study, the overall score increased by 14% (P < 0.001), and the diagnosis with treatment plan domain had an increase of 12% (P < 0.001) versus baseline. CONCLUSION: We found that serially engaging breast cancer providers with a validated clinical practice engagement and measurement tool, the CPVs, markedly increased quality scores and adherence to clinical guidelines in the simulated patients. CPVs were able to measure differences in clinical skill improvement and detect how fast improvements were made.

A note on survival after anoxic brain injury in adolescents and young adults.

BACKGROUND: Much is known about survival after traumatic brain injury (TBI), yet relatively little about survival after anoxic brain injury (ABI). OBJECTIVE: To determine whether long-term survival after ABI is comparable to that after TBI. METHODS: We identified 237 patients with ABI and 1,620 with TBI in California who were aged 15 to 35, survived at least 1 year post injury, and were injured in 1986 or later. We analyzed the long-term follow-up data using the Cox Proportional Hazards Regression Model, controlling for age, sex, and severity of disability. RESULTS: After adjustment for risk factors, no significant differences in long-term survival between ABI and TBI were found (hazard ratio = 0.97; 95% c.i. 0.57-1.65). CONCLUSIONS: In adolescents and young adults, long-term survival after ABI appears to be similar to that after TBI.

Improvements in long-term survival after spinal cord injury?

OBJECTIVE: To investigate whether there have been improvements in long-term survival after spinal cord injury in recent decades. DESIGN: Survival analysis using time-varying covariates. The outcome variable was survival or mortality, and the explanatory variables were age, sex, level and grade of injury, and calendar year. The data were analyzed using the logistic regression model, Poisson regression model with comparison to the general population, and the computation of standardized mortality ratios for various groups. SETTING: National Spinal Cord Injury Model Systems facilities. PARTICIPANTS: Persons (N=31,531) who survived 2 years postinjury, were older than 10 years, and who did not require ventilator support. These persons contributed 484,979 person-years of data, with 8536 deaths over the 1973 to 2012 study period. INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: Survival; survival relative to the general population; life expectancy. RESULTS: After adjustment for age, sex, race, etiology of injury, time since injury, and level and grade of injury, mortality in persons with spinal cord injury was higher in the 2005 to 2012 period than in 1990 to 2004 or 1980 to 1989, the odds ratios for these 3 periods were .857, .826, and .802 as compared with the 1970 to 1979 reference period. CONCLUSIONS: There was no evidence of improvement. Long-term survival has not changed over the past 30 years.

Mobility, continence, and life expectancy in persons with Asia Impairment Scale Grade D spinal cord injuries.

OBJECTIVE: Previous research on the life expectancy of persons with American Spinal Injury Association (ASIA) Impairment Scale Grade D spinal cord injury has considered them as a large homogenous group, making no functional or medical distinctions. This study sought to (1) determine how survival in this group depends on ambulatory function and the extent of bowel or bladder dysfunction, (2) compute life expectancies for various subgroups, and (3) examine whether survival has improved over time. DESIGN: Data were from 8,206 adults with ASIA Impairment Scale Grade D spinal cord injury in the Spinal Cord Injury Model Systems database who were not ventilator dependent and who survived more than 1 yr after injury. There were a total of 114,739 person-years of follow-up and 1,730 deaths during the 1970-2011 study period. Empirical age- and sex-specific mortality rates were computed. Regression analysis of survival data with time-dependent covariates was used to determine the effect of risk factors, to test for a time trend, and to estimate mortality rates for subgroups. Life expectancies were obtained from life tables constructed for each subgroup. RESULTS: The ability to walk, whether independently or with an assistive device, was associated with longer survival than wheelchair dependence. The need for an indwelling catheter, and to a lesser extent intermittent catheterization, was associated with increased mortality risk. Persons who walked unaided and who did not require catheterization had life expectancies roughly 90% of normal. Those who required a wheelchair for locomotion had life expectancies comparable with that in paraplegia, less than 75% of normal. No time trend in survival was found. CONCLUSIONS: Life expectancy of persons with ASIA Impairment Scale D spinal cord injury depends strongly on the ability to walk and the need for catheterization.

Long-term disability and survival in traumatic brain injury: results from the National Institute on Disability and Rehabilitation Research Model Systems.

OBJECTIVES: To document long-term survival in 1-year survivors of traumatic brain injury (TBI); to compare the use of the Disability Rating Scale (DRS) and FIM as factors in the estimation of survival probabilities; and to investigate the effect of time since injury and secular trends in mortality. DESIGN: Cohort study of 1-year survivors of TBI followed up to 20 years postinjury. Statistical methods include standardized mortality ratio, Kaplan-Meier survival curve, proportional hazards regression, and person-year logistic regression. SETTING: Postdischarge from rehabilitation units. PARTICIPANTS: Population-based sample of persons (N=7228) who were admitted to a TBI Model Systems facility and survived at least 1 year postinjury. These persons contributed 32,505 person-years, with 537 deaths, over the 1989 to 2011 study period. INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURE: Survival. RESULTS: Survival was poorer than that of the general population (standardized mortality ratio=2.1; 95% confidence interval, 1.9-2.3). Age, sex, and functional disability were significant risk factors for mortality (P<.001). FIM- and DRS-based proportional hazards survival models had comparable predictive performance (C index: .80 vs .80; Akaike information criterion: 11,005 vs 11,015). Time since injury and current calendar year were not significant predictors of long-term survival (both P>.05). CONCLUSIONS: Long-term survival prognosis in TBI depends on age, sex, and disability. FIM and DRS are useful prognostic measures with comparable statistical performance. Age- and disability-specific mortality rates in TBI have not declined over the last 20 years. A survival prognosis calculator is available online (http://www.LifeExpectancy.org/tbims.shtml).

Anemia and mortality in older persons: does the type of anemia affect survival?

Anemia is a common condition among community-dwelling older adults. The present study investigates the effect of type of anemia on subsequent mortality. We analyzed data from participants of the Third National Health and Nutrition Survey who were aged ≥50 and had valid hemoglobin levels determined by laboratory measurement. Anemia was defined by World Health Organization criteria. 7,171 subjects met our inclusion criterion. Of those with anemia (n = 862, deaths = 491), 24% had nutritional anemia, 11% had anemia of chronic renal disease, 26% had anemia of chronic inflammation, and 39% had unexplained anemia. We found an overall relative risk (RR) for mortality of 1.8 (p < 0.001) comparing those with anemia to those without, after adjusting for age, sex, and race. After we controlled for a number of chronic medical conditions, the overall RR was 1.6. Compared to persons without anemia, we found the following RRs for the type of anemia: nutritional (2.34, p < 0.0001), chronic renal disease (1.70, p < 0.0001), chronic inflammation (1.48, p < 0.0001), and unexplained (1.26, p < 0.01). Anemia is common although not severe in older non-institutionalized adults. When compared with non-anemic older adults, those with nutritional anemia or anemia due to chronic renal disease have the highest mortality risk.

Cognitive impairment and mortality in the Cardiovascular Health Study.

Cognitive impairment is associated with increased mortality, depending on the severity of impairment. We analyzed data from the Cardiovascular Health Study (CHS), using Cox proportional hazards regression models to quantify the effect of the impairment. After adjustment for age, sex, and medical risk factors, we found the resulting relative risks to range from 1.19 for mild impairment to 1.98 for severe.

Life expectancy and years of life lost in chronic obstructive pulmonary disease: findings from the NHANES III Follow-up Study.

RATIONALE: Previous studies have demonstrated that chronic obstructive pulmonary disease (COPD) causes increased mortality in the general population. But life expectancy and the years of life lost have not been reported. OBJECTIVES: To quantify mortality, examine how it varies with age, sex, and other risk factors, and determine how life expectancy is affected. METHODS: We constructed mortality models using the Third National Health and Nutrition Examination Survey, adjusting for age, sex, race, and major medical conditions. We used these to compute life expectancy and the years of life lost. MEASUREMENTS AND MAIN RESULTS: Pulmonary function testing classified patients as having Global Initiative on Obstructive Lung Disease (GOLD) stage 0, 1, 2, 3 or 4 COPD or restriction. COPD is associated with only a modest reduction in life expectancy for never smokers, but with a very large reduction for current and former smokers. At age 65, the reductions in male life expectancy for stage 1, stage 2, and stages 3 or 4 disease in current smokers are 0.3 years, 2.2 years, and 5.8 years. These are in addition to the 3.5 years lost due to smoking. In former smokers the reductions are 1.4 years and 5.6 years for stage 2 and stages 3 or 4 disease, and in never smokers they are 0.7 and 1.3 years. CONCLUSIONS: Persons with COPD have an increased risk of mortality compared to those who do not, with consequent reduction in life expectancy. The effect is most marked in current smokers, and this is further reason for smokers to quit.

Smoking habit and mortality: a meta-analysis.

Cigarette smoking leads to excess mortality risk. Although it is well known that the risk increases with the number of pack-years of smoking--that is, how much a person smokes, or "habit"--there is apparently no published studies that organize and synthesize the evidence on this topic. This paper provides a meta-analysis of the latest published findings relating to cigarette smoking habit and excess mortality. A combined estimate of the relative risk (RR) of death for smokers, stratified by habit (light, medium, or heavy smoking), compared with non-smokers is provided.

Underwriting the presidents.

The United States has had 43 presidents. We examined whether they survive significantly longer or shorter than their contemporaries. We found that survival was better for presidents elected in the 1789-1841 and 1933-2001 periods (SMRs of 0.7 and 0.6, respectively), but worse for those elected in 1845-1929 (SMR = 2.9). We also found increased mortality during the years lived in office (SMR = 1.4), but no increase in mortality after leaving office (SMR = 1.0).

Long-term survival after childhood spinal cord injury.

OBJECTIVE: To determine whether persons who incur a spinal cord injury as children are at increased risk of mortality compared with persons injured as adults given comparable current age, sex, and injury severity. METHODS: A total of 25,340 persons admitted to the National Spinal Cord Injury Statistical Center database or the National Shriners Spinal Cord Injury database who were not ventilator dependent and who survived more than 2 years after injury were included in this study. These persons contributed 274,020 person-years of data, with 3844 deaths, over the 1973-2004 study period. Data were analyzed using pooled repeated observations analysis of person-years. For each person-year the outcome variable was survival/mortality, and the explanatory variables included current age, sex, race, cause of injury, severity of injury, and age at injury (the focus of the current analysis). RESULTS: Other factors being equal, persons who were less than 16 years of age at time of injury had a 31% (95% CI = 3%-65%) increase in the annual odds of dying compared with persons injured at older ages (P= 0.013). This increased risk did not vary significantly by current age, sex, race, injury severity, or era of injury (P > 0.05). CONCLUSION: Life expectancy for persons injured as children appears to be slightly lower than that of otherwise comparably injured persons who suffered their injuries as adults. Nonetheless, persons who are injured young can enjoy relatively long life expectancies, ranging from approximately 83% of normal life expectancy for persons with minimal deficit incomplete injuries to approximately 50% of normal in high-cervical-level injuries without ventilator dependence.

Trends in life expectancy after spinal cord injury.

OBJECTIVE: To investigate whether there have been improvements in survival after spinal cord injury (SCI) over time, both in the critical first 2 years after injury and in the longer term. DESIGN: Pooled repeated observations analysis of person-years. For each person-year, the outcome variable is survival and mortality, and the explanatory variables include age, level and grade of injury, and calendar year (the main focus of the analyses). The method can be viewed as a generalization of proportional hazards regression. SETTING: Model spinal cord injury systems and hospital SCI units across the United States. PARTICIPANTS: Persons (N=30,822) admitted to a Spinal Cord Injury Model Systems facility a minimum of 1 day after injury. Only persons over 10 years of age and known not to be ventilator dependent were included. These persons contributed 323,618 person-years of data, with 4980 deaths, over the 1973 to 2004 study period. INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURE: Survival. RESULTS: Other factors being equal, over the last 3 decades there has been a 40% decline in mortality during the critical first 2 years after injury. However, the decline in mortality over time in the post-2-year period is small and not statistically significant. CONCLUSIONS: The absence of a substantial decline in mortality after the first 2 years postinjury is contrary to widely held impressions. Nevertheless, the finding is based on a large database and sensitive analytic methods and is consistent with previous research. Improvements in critical care medicine after spinal cord injury may explain the marked decline in short-term mortality. In contrast, although there have no doubt been improvements in long-term rehabilitative care, their effect in enhancing the life span of persons with SCI appears to have been overstated.

Computing exact excess death rates from a published mortality study.

We wish to estimate the associated excess death rate (EDR) or mortality ratio (MR) from a published study of persons with a given medical condition. This requires computation of the expected mortality in the study population. If age- and sex-specific person years of data are available, this task is straightforward. Most often, however, we have only descriptive statistics--percentage male, average and standard deviation of age--at the beginning of follow up. We show here how this limited information can be used to compute an exact EDR or other quantities of interest.

Long-term survival of persons ventilator dependent after spinal cord injury.

BACKGROUND/OBJECTIVE: Identify factors related to long-term survival, and quantify their effect on mortality and life expectancy. SETTING: Model spinal cord injury systems of care across the United States. STUDY DESIGN: Survival analysis of persons with traumatic spinal cord injury who are ventilator dependent at discharge from inpatient rehabilitation and who survive at least 1 year after injury. METHODS: Logistic regression analysis on a data set of 1,986 person-years occurring among 319 individuals injured from 1973 through 2003. RESULTS: The key factors related to long-term survival were age, time since injury, neurologic level, and degree of completeness of injury. The life expectancies were modestly lower than previous estimates. Pneumonia and other respiratory conditions remain the leading cause of death but account for only 31% of deaths of known causes. CONCLUSIONS: Whereas previous research has suggested a dramatic improvement in survival over the last few decades in this population, this is only the case during the critical first few years after injury. There was no evidence for such a trend in the subsequent period.