Association Between Physician Industry Payments and Cost of Anterior Cervical Discectomy and Fusion in Medicare Beneficiaries.

BACKGROUND: Neurosurgical spine specialists receive considerable amounts of industry support that may impact the cost of care. The aim of this study was to evaluate the association between industry payments received by spine surgeons and the total hospital and operating room (OR) costs of an anterior cervical discectomy and fusion (ACDF) procedure among Medicare beneficiaries. METHODS: All ACDF cases were identified among the Medicare carrier files from January 1, 2013, to December 31, 2014, and matched to the Medicare inpatient baseline file. The total hospital and OR charges were obtained for these cases. Charges were converted to cost using year-specific cost-to-charge ratios. Surgeons were identified among the Open Payments database, which is used to quantify industry support. Analyses were performed to examine the association between industry payments received and ACDF costs. RESULTS: Matching resulting in the inclusion of 2209 ACDF claims from 2013-2014. In 2013 and 2014, the mean total cost for an ACDF was $21,798 and $21,008, respectively; mean OR cost was $5878 and $6064, respectively. Mann-Whitney U test demonstrated no significant differences in the mean total or OR cost for an ACDF based on quartile of general industry payment received (P = 0.21 and P = 0.54), and linear regression found no association between industry general payments, research support, or investments on the total hospital cost (P = 0.41, P = 0.13, and P = 0.25, respectively), or OR cost for an ACDF (P = 0.35, P = 0.24, and P = 0.40, respectively). CONCLUSIONS: This study suggests that spine surgeons performing ACDF surgeries may receive industry support without impacting the cost of care.

A Safe Transitions Pathway for post-craniotomy neurological surgery patients: high-value care that bypasses the intensive care unit.

OBJECTIVE: High-value medical care is described as care that leads to excellent patient outcomes, high patient satisfaction, and efficient costs. Neurosurgical care in particular can be expensive for the hospital, as substantial costs are accrued during the operation and throughout the postoperative stay. The authors developed a "Safe Transitions Pathway" (STP) model in which select patients went to the postanesthesia care unit (PACU) and then the neuro-transitional care unit (NTCU) rather than being directly admitted to the neurosciences intensive care unit (ICU) following a craniotomy. They sought to evaluate the clinical and financial outcomes as well as the impact on the patient experience for patients who participated in the STP and bypassed the ICU level of care. METHODS: Patients were enrolled during the 2018 fiscal year (FY18; July 1, 2017, through June 30, 2018). The electronic medical record was reviewed for clinical information and the hospital cost accounting record was reviewed for financial information. Nurses and patients were given a satisfaction survey to assess their respective impressions of the hospital stay and of the recovery pathway. RESULTS: No patients who proceeded to the NTCU postoperatively were upgraded to the ICU level of care postoperatively. There were no deaths in the STP group, and no patients required a return to the operating room during their hospitalization (95% CI 0%-3.9%). There was a trend toward fewer 30-day readmissions in the STP patients than in the standard pathway patients (1.2% [95% CI 0.0%-6.8%] vs 5.1% [95% CI 2.5%-9.1%], p = 0.058). The mean number of ICU days saved per case was 1.20. The average postprocedure length of stay was reduced by 0.25 days for STP patients. Actual FY18 direct cost savings from 94 patients who went through the STP was $422,128. CONCLUSIONS: Length of stay, direct cost per case, and ICU days were significantly less after the adoption of the STP, and ICU bed utilization was freed for acute admissions and transfers. There were no substantial complications or adverse patient outcomes in the STP group.

Analysis of National Rates, Cost, and Sources of Cost Variation in Adult Spinal Deformity.

BACKGROUND: Several studies suggest significant variation in cost for spine surgery, but there has been little research in this area for spinal deformity. OBJECTIVE: To determine the utilization, cost, and factors contributing to cost for spinal deformity surgery. METHODS: The cohort comprised 55 599 adults who underwent spinal deformity fusion in the 2001 to 2013 National Inpatient Sample database. Patient variables included age, gender, insurance, median income of zip code, county population, severity of illness, mortality risk, number of comorbidities, length of stay, elective vs nonelective case. Hospital variables included bed size, wage index, hospital type (rural, urban nonteaching, urban teaching), and geographical region. The outcome was total hospital cost for deformity surgery. Statistics included univariate and multivariate regression analyses. RESULTS: The number of spinal deformity cases increased from 1803 in 2001 (rate: 4.16 per 100 000 adults) to 6728 in 2013 (rate: 13.9 per 100 000). Utilization of interbody fusion devices increased steadily during this time period, while bone morphogenic protein usage peaked in 2010 and declined thereafter. The mean inflation-adjusted case cost rose from $32 671 to $43 433 over the same time period. Multivariate analyses showed the following patient factors were associated with cost: age, race, insurance, severity of illness, length of stay, and elective admission (P < .01). Hospitals in the western United States and those with higher wage indices or smaller bed sizes were significantly more expensive (P < .05). CONCLUSION: The rate of adult spinal deformity surgery and the mean case cost increased from 2001 to 2013, exceeding the rate of inflation. Both patient and hospital factors are important contributors to cost variation for spinal deformity surgery.

Caring Wisely: A Program to Support Frontline Clinicians and Staff in Improving Healthcare Delivery and Reducing Costs.

We describe a program called "Caring Wisely"®, developed by the University of California, San Francisco's (UCSF), Center for Healthcare Value, to increase the value of services provided at UCSF Health. The overarching goal of the Caring Wisely® program is to catalyze and advance delivery system redesign and innovations that reduce costs, enhance healthcare quality, and improve health outcomes. The program is designed to engage frontline clinicians and staff-aided by experienced implementation scientists-to develop and implement interventions specifically designed to address overuse, underuse, or misuse of services. Financial savings of the program are intended to cover the program costs. The theoretical underpinnings for the design of the Caring Wisely® program emphasize the importance of stakeholder engagement, behavior change theory, market (target audience) segmentation, and process measurement and feedback. The Caring Wisely® program provides an institutional model for using crowdsourcing to identify "hot spot" areas of low-value care, inefficiency and waste, and for implementing robust interventions to address these areas.

Trends in Utilization and Cost of Cervical Spine Surgery Using the National Inpatient Sample Database, 2001 to 2013.

STUDY DESIGN: A retrospective review. OBJECTIVE: The aim of this study was to determine national rates of cervical spine surgery and to examine factors that underlie cost variation. SUMMARY OF BACKGROUND DATA: There has been an increase in the rate and cost of spinal surgery over the past decades, but there is little understanding of the drivers of cost variation at the national level. METHODS: We analyzed 419,830 patients who underwent cervical spine surgery (anterior cervical fusion, posterior cervical fusion, posterior cervical decompression, combined anterior/posterior cervical fusion) for degenerative conditions in the 2001 to 2013 NIS database. We determined the rates of surgery by time and geographic region, and then created univariate and multivariate models to evaluate the effect of these factors on total hospital costs: patient age, gender, race, insurance, income, county of residence, elective versus nonelective case, length of stay, risk of mortality, severity of illness, hospital bed size, wage index, hospital type, and geographic region. RESULTS: The most common type of cervical spine surgery was anterior fusion (80.6% of all surgeries). The national rates of all cervical spine surgery decreased slightly from 2001 to 2013 (75.34 to 72.20 per 100,000 adults), while the mean inflation-adjusted cost increased 64%, from $11,799 to $19,379, during this time period. Multivariate analyses showed that older age, male gender, black/other race, private insurance, greater risk of mortality/severity of illness, and longer length of stay were associated with higher costs. The wage index was positively correlated with cost, and hospitals in the western U.S. were 27% more expensive than those in the Northeast. CONCLUSION: The rate of cervical spine surgery decreased slightly, while the mean case cost increased at a rate double that of inflation from 2001 to 2013. Even after controlling for patient and hospital factors including wage index, there was significant geographic variation in the cost for cervical spine surgery. LEVEL OF EVIDENCE: 3.

Analysis of Cost Variation in Craniotomy for Tumor Using 2 National Databases.

BACKGROUND: There is a significant increase and large variation in craniotomy costs. However, the causes of cost differences in craniotomies remain poorly understood. OBJECTIVE: To examine the patient and hospital factors that underlie the cost variation in tumor craniotomies using 2 national databases: the National Inpatient Sample (NIS) and Vizient, Inc. (Irving, Texas). METHODS: For 41 483 patients who underwent primary surgery for supratentorial brain tumors from 2001 to 2013 in the NIS, we created univariate and multivariate models to evaluate the effect of several patient factors and hospital factors on total hospital cost. Similarly, we performed multivariate analysis with 15 087 cases in the Vizient 2012 to 2015 database. RESULTS: In the NIS, the mean inflation-adjusted cost per tumor craniotomy increased 30%, from $23 021 in 2001 to $29 971 in 2013. In 2001, the highest cost region was the Northeast ($24 486 ± $1184), and by 2013 the western United States was the highest cost region ($36 058 ± $1684). Multivariate analyses with NIS data showed that male gender, white race, private insurance, higher mortality risk, higher severity of illness, longer length of stay, elective admissions, higher wage index, urban teaching hospitals, and hospitals in the western United States were associated with higher tumor craniotomy costs (all P < .05). Multivariate analyses with Vizient data confirmed that longer length of stay and the western United States were significantly associated with higher costs (P < .001). CONCLUSION: After controlling for patient/clinical factors, hospital type, bed size, and wage index, hospitals in the western United States had higher costs than those in other parts of the country, based on analyses from 2 separate national databases.

Geographic and Hospital Variation in Cost of Lumbar Laminectomy and Lumbar Fusion for Degenerative Conditions.

BACKGROUND: Spinal surgery costs vary significantly across hospitals and regions, but there is insufficient understanding of what drives this variation. OBJECTIVE: To examine the factors underlying the cost variation for lumbar laminectomy/discectomy and lumbar fusions. METHODS: We obtained patient information (age, gender, race, severity of illness, risk of mortality, population of county of residence, median zipcode income, insurance status, elective vs nonelective admission, length of stay) and hospital data (region, hospital type, bed size, wage index) for all patients who underwent lumbar laminectomy/discectomy (n = 181 267) or lumbar fusions (n = 433 364) for degenerative conditions in the 2001 to 2013 National Inpatient Sample database. We performed unadjusted and adjusted analyses to determine which factors affect cost. RESULTS: Mean costs for lumbar laminectomy/discectomy and lumbar fusion increased from $8316 and $21 473 in 2001 (in inflation-adjusted 2013 dollars), to $11 405 and $29 438, respectively, in 2013. There was significant regional variation in cost, with the West being the most expensive region across all years and showing the steepest increase in cost over time. After adjusting for patient and hospital factors, the West was 23% more expensive than the Northeast for lumbar laminectomy/discectomy, and 25% more expensive than the Northeast for lumbar fusion ( P < .01). Higher wage index, smaller hospital bed size, and rural/urban nonteaching hospital type were also associated with higher cost for lumbar laminectomy/discectomy and fusion ( P < .01). CONCLUSION: After adjusting for patient factors and wage index, the Western region, hospitals with smaller bed sizes, and rural/urban nonteaching hospitals were associated with higher costs for lumbar laminectomy/discectomy and lumbar fusion.

Association Between Surgeon Scorecard Use and Operating Room Costs.

Importance: Despite the significant contribution of surgical spending to health care costs, most surgeons are unaware of their operating room costs. Objective: To examine the association between providing surgeons with individualized cost feedback and surgical supply costs in the operating room. Design, Setting, and Participants: The OR Surgical Cost Reduction (OR SCORE) project was a single-health system, multihospital, multidepartmental prospective controlled study in an urban academic setting. Intervention participants were attending surgeons in orthopedic surgery, otolaryngology-head and neck surgery, and neurological surgery (n = 63). Control participants were attending surgeons in cardiothoracic surgery, general surgery, vascular surgery, pediatric surgery, obstetrics/gynecology, ophthalmology, and urology (n = 186). Interventions: From January 1 to December 31, 2015, each surgeon in the intervention group received standardized monthly scorecards showing the median surgical supply direct cost for each procedure type performed in the prior month compared with the surgeon's baseline (July 1, 2012, to November 30, 2014) and compared with all surgeons at the institution performing the same procedure at baseline. All surgical departments were eligible for a financial incentive if they met a 5% cost reduction goal. Main Outcomes and Measures: The primary outcome was each group's median surgical supply cost per case. Secondary outcome measures included total departmental surgical supply costs, case mix index-adjusted median surgical supply costs, patient outcomes (30-day readmission, 30-day mortality, and discharge status), and surgeon responses to a postintervention study-specific health care value survey. Results: The median surgical supply direct costs per case decreased 6.54% in the intervention group, from $1398 (interquartile range [IQR], $316-$5181) (10 637 cases) in 2014 to $1307 (IQR, $319-$5037) (11 820 cases) in 2015. In contrast, the median surgical supply direct cost increased 7.42% in the control group, from $712 (IQR, $202-$1602) (16 441 cases) in 2014 to $765 (IQR, $233-$1719) (17 227 cases) in 2015. This decrease represents a total savings of $836 147 in the intervention group during the 1-year study. After controlling for surgeon, department, patient demographics, and clinical indicators in a mixed-effects model, there was a 9.95% (95% CI, 3.55%-15.93%; P = .003) surgical supply cost decrease in the intervention group over 1 year. Patient outcomes were equivalent or improved after the intervention, and surgeons who received scorecards reported higher levels of cost awareness on the health care value survey compared with controls. Conclusions and Relevance: Cost feedback to surgeons, combined with a small departmental financial incentive, was associated with significantly reduced surgical supply costs, without negatively affecting patient outcomes.

Operating room waste: disposable supply utilization in neurosurgical procedures.

OBJECTIVE Disposable supplies constitute a large portion of operating room (OR) costs and are often left over at the end of a surgical case. Despite financial and environmental implications of such waste, there has been little evaluation of OR supply utilization. The goal of this study was to quantify the utilization of disposable supplies and the costs associated with opened but unused items (i.e., "waste") in neurosurgical procedures. METHODS Every disposable supply that was unused at the end of surgery was quantified through direct observation of 58 neurosurgical cases at the University of California, San Francisco, in August 2015. Item costs (in US dollars) were determined from the authors' supply catalog, and statistical analyses were performed. RESULTS Across 58 procedures (36 cranial, 22 spinal), the average cost of unused supplies was $653 (range $89-$3640, median $448, interquartile range $230-$810), or 13.1% of total surgical supply cost. Univariate analyses revealed that case type (cranial versus spinal), case category (vascular, tumor, functional, instrumented, and noninstrumented spine), and surgeon were important predictors of the percentage of unused surgical supply cost. Case length and years of surgical training did not affect the percentage of unused supply cost. Accounting for the different case distribution in the 58 selected cases, the authors estimate approximately $968 of OR waste per case, $242,968 per month, and $2.9 million per year, for their neurosurgical department. CONCLUSIONS This study shows a large variation and significant magnitude of OR waste in neurosurgical procedures. At the authors' institution, they recommend price transparency, education about OR waste to surgeons and nurses, preference card reviews, and clarification of supplies that should be opened versus available as needed to reduce waste.

Predictors of Variation in Neurosurgical Supply Costs and Outcomes Across 4904 Surgeries at a Single Institution.

BACKGROUND: There is high variability in neurosurgical costs, and surgical supplies constitute a significant portion of cost. Anecdotally, surgeons use different supplies for various reasons, but there is little understanding of how supply choices affect outcomes. Our goal is to evaluate the effect of patient, procedural, and provider factors on supply cost and to determine if supply cost is associated with patient outcomes. METHODS: We obtained patient information (age, gender, payor, case mix index [CMI], body mass index, admission source), procedural data (procedure type, length, date), provider information (name, case volume), and total surgical supply cost for all inpatient neurosurgical procedures from 2013 to 2014 at our institution (n = 4904). We created mixed-effect models to examine the effect of each factor on surgical supply cost, 30-day readmission, and 30-day mortality. RESULTS: There was significant variation in surgical supply cost between and within procedure types. Older age, female gender, higher CMI, routine/elective admission, longer procedure, and larger surgeon volume were associated with higher surgical supply costs (P < 0.05). Routine/elective admission and higher surgeon volume were associated with lower readmission rates (odds ratio, 0.707, 0.998; P < 0.01). Only patient factors of older age, male gender, private insurance, higher CMI, and emergency admission were associated with higher mortality (odds ratio, 1.029, 1.700, 1.692, 1.080, 2.809). There was no association between surgical supply cost and readmission or mortality (P = 0.307, 0.548). CONCLUSIONS: A combination of patient, procedural, and provider factors underlie the significant variation in neurosurgical supply costs at our institution. Surgical supply costs are not correlated with 30-day readmission or mortality.

Predicting cost of care using self-reported health status data.

BACKGROUND: We examined whether self-reported employee health status data can improve the performance of administrative data-based models for predicting future high health costs, and develop a predictive model for predicting new high cost individuals. METHODS: This retrospective cohort study used data from 8,917 Safeway employees self-insured by Safeway during 2008 and 2009. We created models using step-wise multivariable logistic regression starting with health services use data, then socio-demographic data, and finally adding the self-reported health status data to the model. RESULTS: Adding self-reported health data to the baseline model that included only administrative data (health services use and demographic variables; c-statistic = 0.63) increased the model" predictive power (c-statistic = 0.70). Risk factors associated with being a new high cost individual in 2009 were: 1) had one or more ED visits in 2008 (adjusted OR: 1.87, 95 % CI: 1.52, 2.30), 2) had one or more hospitalizations in 2008 (adjusted OR: 1.95, 95 % CI: 1.38, 2.77), 3) being female (adjusted OR: 1.34, 95 % CI: 1.16, 1.55), 4) increasing age (compared with age 18-35, adjusted OR for 36-49 years: 1.28; 95 % CI: 1.03, 1.60; adjusted OR for 50-64 years: 1.92, 95 % CI: 1.55, 2.39; adjusted OR for 65+ years: 3.75, 95 % CI: 2.67, 2.23), 5) the presence of self-reported depression (adjusted OR: 1.53, 95 % CI: 1.29, 1.81), 6) chronic pain (adjusted OR: 2.22, 95 % CI: 1.81, 2.72), 7) diabetes (adjusted OR: 1.73, 95 % CI: 1.35, 2.23), 8) high blood pressure (adjusted OR: 1.42, 95 % CI: 1.21, 1.67), and 9) above average BMI (adjusted OR: 1.20, 95 % CI: 1.04, 1.38). DISCUSSION: The comparison of the models between the full sample and the sample without theprevious high cost members indicated significant differences in the predictors. This has importantimplications for models using only the health service use (administrative data) given that the past high costis significantly correlated with future high cost and often drive the predictive models. CONCLUSIONS: Self-reported health data improved the ability of our model to identify individuals at risk for being high cost beyond what was possible with administrative data alone.

Variations in 30-day hospital readmission rates across primary care clinics within a tertiary referral center.

BACKGROUND: Reducing hospital readmissions is a national healthcare priority. Little is known about how readmission rates vary across unique primary care practices. OBJECTIVE: To calculate all-cause 30-day hospital readmission rates at the level of individual primary care practices and identify factors associated with variations in these rates. DESIGN: Retrospective analysis SETTING: Seven primary care clinics affiliated with the University of California, San Francisco (UCSF). PATIENTS: Adults ≥18 years old with a primary care provider (PCP) at UCSF MEASUREMENTS: All-cause 30-day readmission rates were calculated for primary care clinics for discharges between July 1, 2009 and June 30, 2012. We built a model to identify demographic, clinical, and hospital factors associated with variation in rates. RESULTS: There were 12,564 discharges for patients belonging to the 7 clinics, with 8685 index discharges and 1032 readmissions. Readmission rates varied across practices, from 14.9% in Human Immunodeficiency Virus primary care and 7.7% in women's health. In multivariable analyses, factors associated with variation in readmission rates included: male gender (odds ratio [OR]: 1.21, 95% confidence interval [CI]: 1.05-1.40), Medicare insurance (OR: 1.31, 95% CI: 1.05, 1.64; Ref = private), Medicare-Medicaid dual eligible (OR: 1.26, 95% CI: 1.01-1.56), multiple comorbidities, and admitting services. Patients with a departed PCP awaiting transfer assignment to a new PCP had an OR of 1.59 (95% CI: 1.16-2.17) compared with having a current faculty PCP. CONCLUSIONS: Primary care practices are important partners in improving care transitions and reducing hospital readmissions, and this study introduces a new way to view readmission rates. PCP turnover may be an important risk factor for hospital readmissions.

What's cost got to do with it? Association between hospital costs and frequency of admissions among "high users" of hospital care.

BACKGROUND: Efforts to curb healthcare spending have included interventions that target frequently hospitalized individuals. It is unclear the extent to which the most frequently hospitalized individuals also represent the costliest individuals. OBJECTIVE: To examine the relationship between 2 types of "high users" commonly targeted in cost-containment interventions-those incurring the highest hospital costs ("high cost") and those incurring the highest number of hospitalizations ("high admit"). DESIGN, SETTING, AND PATIENTS: Cross-sectional study of 2566 individuals with a primary care physician and at least 1 hospitalization within an academic health system from 2010 to 2011. MEASUREMENTS: Overlap between the population constituting the top decile of hospital costs and the population constituting the top decile of hospitalizations; characteristics of the 3 resulting high user subgroups. RESULTS: Only 48% of individuals who were high cost (>$65,000) were also high admit (≥ 3 hospitalizations). Compared to hospitalizations incurred by high cost-high admit individuals (n = 605), hospitalizations incurred by high cost-low admit individuals (n = 206) were more likely to be for surgical procedures (58 vs 22%, P < 0.001), had a higher cost ($68,000 vs $28,000, P < 0.001), longer length of stay (10 vs 5 days, P < 0.001), and were less likely to be a 30-day readmission (17 vs 47%, P < 0.001). CONCLUSIONS: Stratifying high admit individuals by costs and high cost individuals by hospitalizations yields 3 distinct high user subgroups with important differences in clinical characteristics and utilization patterns. Consideration of these distinct subgroups may lead to better-tailored interventions and achieve greater cost savings.

A framework for training health professionals in implementation and dissemination science.

The authors describe a conceptual framework for implementation and dissemination science (IDS) and propose competencies for IDS training. Their framework is designed to facilitate the application of theories and methods from the distinct domains of clinical disciplines (e.g., medicine, public health), population sciences (e.g., biostatistics, epidemiology), and translational disciplines (e.g., social and behavioral sciences, business administration education). They explore three principles that guided the development of their conceptual framework: Behavior change among organizations and/or individuals (providers, patients) is inherent in the translation process; engagement of stakeholder organizations, health care delivery systems, and individuals is imperative to achieve effective translation and sustained improvements; and IDS research is iterative, benefiting from cycles and collaborative, bidirectional relationships. The authors propose seven domains for IDS training-team science, context identification, literature identification and assessment, community engagement, intervention design and research implementation, evaluation of effect of translational activity, behavioral change communication strategies-and define 12 IDS training competencies within these domains. As a model, they describe specific courses introduced at the University of California, San Francisco, which they designed to develop these competencies. The authors encourage other training programs and institutions to use or adapt the design principles, conceptual framework, and proposed competencies to evaluate their current IDS training needs and to support new program development.

Trends and characteristics of US emergency department visits, 1997-2007.

CONTEXT: The potential effects of increasing numbers of uninsured and underinsured persons on US emergency departments (EDs) is a concern for the health care safety net. OBJECTIVE: To describe the changes in ED visits that occurred from 1997 through 2007 in the adult and pediatric US populations by sociodemographic group, designation of safety-net ED, and trends in ambulatory care-sensitive conditions. DESIGN, SETTING, AND PARTICIPANTS: Publicly available ED visit data from the National Hospital Ambulatory Medical Care Survey (NHAMCS) from 1997 through 2007 were stratified by age, sex, race, ethnicity, insurance status, safety-net hospital classification, triage category, and disposition. Codes from the International Classification of Diseases, Ninth Revision (ICD-9), were used to extract visits related to ambulatory care-sensitive conditions. Visit rates were calculated using annual US Census estimates. MAIN OUTCOME MEASURES: Total annual visits to US EDs and ED visit rates for population subgroups. RESULTS: Between 1997 and 2007, ED visit rates increased from 352.8 to 390.5 per 1000 persons (rate difference, 37.7; 95% confidence interval [CI], -51.1 to 126.5; P = .001 for trend); the increase in total annual ED visits was almost double of what would be expected from population growth. Adults with Medicaid accounted for most of the increase in ED visits; the visit rate increased from 693.9 to 947.2 visits per 1000 enrollees between 1999 and 2007 (rate difference, 253.3; 95% CI, 41.1 to 465.5; P = .001 for trend). Although ED visit rates for adults with ambulatory care-sensitive conditions remained stable, ED visit rates among adults with Medicaid increased from 66.4 in 1999 to 83.9 in 2007 (rate difference, 17.5; 95% CI, -5.8 to 40.8; P = .007 for trend). The number of facilities qualifying as safety-net EDs increased from 1770 in 2000 to 2489 in 2007. CONCLUSION: These findings indicate that ED visit rates have increased from 1997 to 2007 and that EDs are increasingly serving as the safety net for medically underserved patients, particularly adults with Medicaid.

Variation in outpatient antibiotic prescribing in the United States.

OBJECTIVE: To evaluate variation in outpatient antibiotic utilization among US commercial health plans and the implications of this variation for cost and quality. STUDY DESIGN AND METHODS: We measured antibiotic utilization rates among 229 US commercial health plans that participated in the 2005 Healthcare Effectiveness Data and Information Set. Rates were adjusted to account for health plan age and sex distribution. To estimate antibiotic costs, we multiplied utilization data for each drug class by national estimates of intraclass distribution of drugs, duration of therapy, and median average wholesale price. RESULTS: Antibiotic utilization rates varied markedly among plans, ranging from 0.64 antibiotic fills per member per year (PMPY) at the 5th percentile of plans to 1.08 fills PMPY at the 95th percentile, with a mean of 0.88 (SD +/- 0.15) antibiotic fills PMPY. US census region was the strongest predictor of antibiotic utilization. Antibiotic costs averaged $49 PMPY and ranged from $34 to $63 PMPY among plans at the 5th and 95th percentiles of cost, respectively. If a health plan with 250,000 members at the 90th percentile of antibiotic costs reduced its costs to the 25th percentile, annual drug cost savings would be approximately $4.1 million. CONCLUSIONS: Antibiotic utilization varies substantially among commercial health plans and is not accounted for by differences in the age and sex distribution of plan members. Because reducing rates of antibiotic utilization is likely to lower costs and improve quality, high-utilizing plans may reap considerable rewards from investing in programs to reduce the overuse of antibiotics.