Rationale for the Development of a Traumatic Brain Injury Case Definition for the Pilot National Concussion Surveillance System.

BACKGROUND: Current methods of traumatic brain injury (TBI) morbidity surveillance in the United States have primarily relied on hospital-based data sets. However, these methods undercount TBIs as they do not include TBIs seen in outpatient settings and those that are untreated and undiagnosed. A 2014 National Academy of Science Engineering and Medicine report recommended that the Centers for Disease Control and Prevention (CDC) establish and manage a national surveillance system to better describe the burden of sports- and recreation-related TBI, including concussion, among youth. Given the limitations of TBI surveillance in general, CDC took this recommendation as a call to action to formulate and implement a robust pilot National Concussion Surveillance System that could estimate the public health burden of concussion and TBI among Americans from all causes of brain injury. Because of the constraints of identifying TBI in clinical settings, an alternative surveillance approach is to collect TBI data via a self-report survey. Before such a survey was piloted, it was necessary for CDC to develop a case definition for self-reported TBI. OBJECTIVE: This article outlines the rationale and process the CDC used to develop a tiered case definition for self-reported TBI to be used for surveillance purposes. CONCLUSION: A tiered TBI case definition is proposed with tiers based on the type of sign/symptom(s) reported the number of symptoms reported, and the timing of symptom onset.

Refinement of a Preliminary Case Definition for Use in Traumatic Brain Injury Surveillance.

OBJECTIVE: Current methods used to measure incidence of traumatic brain injury (TBI) underestimate its true public health burden. The use of self-report surveys may be an approach to improve these estimates. An important step in public health surveillance is to define a public health problem using a case definition. The purpose of this article is to outline the process that the Centers for Disease Control and Prevention undertook to refine a TBI case definition to be used in surveillance using a self-report survey. SETTING: Survey. PARTICIPANTS: A total of 10 030 adults participated via a random digit-dial telephone survey from September 2018 to September 2019. MAIN MEASURES: Respondents were asked whether they had sustained a hit to the head in the preceding 12 months and whether they experienced a series of 12 signs and symptoms as a result of this injury. DESIGN: Head injuries with 1 or more signs/symptoms reported were initially categorized into a 3-tiered TBI case definition (probable TBI, possible TBI, and delayed possible TBI), corresponding to the level of certainty that a TBI occurred. Placement in a tier was compared with a range of severity measures (whether medical evaluation was sought, time to symptom resolution, self-rated social and work functioning); case definition tiers were then modified in a stepwise fashion to maximize differences in severity between tiers. RESULTS: There were statistically significant differences in the severity measure between cases in the probable and possible TBI tiers but not between other tiers. Timing of symptom onset did not meaningfully differentiate between cases on severity measures; therefore, the delayed possible tier was eliminated, resulting in 2 tiers: probable and possible TBI. CONCLUSION: The 2-tiered TBI case definition that was derived from this analysis can be used in future surveillance efforts to differentiate cases by certainty and from noncases for the purpose of reporting TBI prevalence and incidence estimates. The refined case definition can help researchers increase the confidence they have in reporting survey respondents' self-reported TBIs as well as provide them with the flexibility to report an expansive (probable + possible TBI) or more conservative (probable TBI only) estimate of TBI prevalence.

Professional Fees for U.S. Hospital Care, 2016-2020.

BACKGROUND: The latest comprehensive diagnosis-specific estimates of hospital professional fees relative to facility fees are from 2004 to 2012. OBJECTIVE: Update professional fee ratio (PFR) estimates to improve cost analysis opportunities with hospital discharge data sources and compare them with previous PFR estimates. SUBJECTS: 2016-2020 MarketScan inpatient admissions and emergency department (ED) treat and release claims. MEASURES: PFR was calculated as total admission or ED visit payment divided by facility-only payment. This measure can be multiplied by hospital facility costs to yield a total cost estimate. RESEARCH DESIGN: Generalized linear regression models controlling for selected patient and service characteristics were used to calculate adjusted mean PFR per admission or ED visit by health payer type (commercial or Medicaid) and by selected diagnostic categories representing all clinical diagnoses (Major Diagnostic Category, Diagnostic Related Group, and Clinical Classification Software Revised). RESULTS: Mean 2016-2020 PFR was 1.224 for admissions with commercial payers (n = 6.7 million admissions) and 1.178 for Medicaid (n = 4.2 million), indicating professional payments on average increased total payments by 22.4% and 17.8%, respectively, above facility-only payments. This is a 9% and 3% decline in PFR, respectively, compared with 2004 estimates. PFR for ED visits during 2016-2020 was 1.283 for commercial payers (n = 22.2 million visits) and 1.415 for Medicaid (n = 17.7 million). This is a 12% and 5% decline in PFR, respectively, compared with 2004 estimates. CONCLUSIONS: Professional fees comprise a declining proportion of hospital-based care costs. Adjustments for professional fees are recommended when hospital facility-only financial data are used to estimate hospital care costs.

Traumatic Brain Injury-Related Hospitalizations and Deaths in Urban and Rural Counties-2017.

STUDY OBJECTIVE: A better understanding of differences in traumatic brain injury incidence by geography may help inform resource needs for local communities. This paper presents estimates on traumatic brain injury-related hospitalizations and deaths by urban and rural county of residence. METHODS: To estimate the incidence of traumatic brain injury-related hospitalizations, data from the 2017 Healthcare Cost and Utilization Project's National Inpatient Sample were analyzed (n=295,760). To estimate the incidence of traumatic brain injury-related deaths, the Centers for Disease Control and Prevention's National Vital Statistics System multiple-cause-of-death files were analyzed (n=61,134). Datasets were stratified by residence, sex, principal mechanism of injury, and age group. Traumatic brain injury-related hospitalizations were also stratified by insurance status and hospital location. RESULTS: The rate of traumatic brain injury-related hospitalizations was significantly higher among urban (70.1 per 100,000 population) than rural residents (61.0), whereas the rate of traumatic brain injury-related deaths was significantly higher among rural (27.5) than urban residents (17.4). These patterns held for both sexes, individuals age 55 and older, and within the leading mechanisms of injury (ie, suicide, unintentional falls). Among patients with Medicare or Medicaid, the rate of traumatic brain injury-related hospitalizations was higher among urban residents; there was no urban/rural difference with other types of insurance. Nearly all (99.6%) urban residents who were hospitalized for a traumatic brain injury received care in an urban hospital. Additionally, approximately 80.3% of rural residents were hospitalized in an urban hospital. CONCLUSION: Urban residents had a higher rate of traumatic brain injury-related hospitalizations, whereas rural residents had a higher rate of traumatic brain injury-related deaths. This disparity deserves further study using additional databases that assess differences in mechanisms of injury and strategies to improve access to emergency care among rural residents.

Costs of Nonfatal Traumatic Brain Injury in the United States, 2016.

BACKGROUND: Traumatic brain injury (TBI) is a serious public health problem in the United States. Each year, TBIs substantially contribute to health care costs, which vary by severity. This is important to consider given the variability in recovery time by severity. RESEARCH DESIGN: This study quantifies the annual incremental health care costs of nonfatal TBI in 2016 for the US population covered by a private health insurance, Medicaid, or Medicare health plan. This study uses MarketScan and defines severity with the abbreviated injury scale for the head and neck region. Nonfatal health care costs were compared by severity. RESULTS: The estimated 2016 overall health care cost attributable to nonfatal TBI among MarketScan enrollees was $40.6 billion. Total estimated annual health care cost attributable to TBI for low severity TBIs during the first year postinjury were substantially higher than costs for middle and high severity TBIs among those with private health insurance and Medicaid. CONCLUSIONS: This study presents economic burden estimates for TBI that underscore the importance of developing strategies to prevent TBIs, regardless of severity. Although middle and high severity TBIs were more costly at the individual level, low severity TBIs, and head injuries diagnosed as "head injury unspecified" resulted in higher total estimated annual health care costs attributable to TBI.

Average medical cost of fatal and non-fatal injuries by type in the USA.

OBJECTIVE: To estimate the average medical care cost of fatal and non-fatal injuries in the USA comprehensively by injury type. METHODS: The attributable cost of injuries was estimated by mechanism (eg, fall), intent (eg, unintentional), body region (eg, head and neck) and nature of injury (eg, fracture) among patients injured from 1 October 2014 to 30 September 2015. The cost of fatal injuries was the multivariable regression-adjusted average among patients who died in hospital emergency departments (EDs) or inpatient settings as reported in the Healthcare Cost and Utilization Project Nationwide Emergency Department Sample and National Inpatient Sample, controlling for demographic (eg, age), clinical (eg, comorbidities) and health insurance (eg, Medicaid) factors. The 1-year attributable cost of non-fatal injuries was assessed among patients with ED-treated injuries using MarketScan medical claims data. Multivariable regression models compared total medical payments (inpatient, outpatient, drugs) among non-fatal injury patients versus matched controls during the year following injury patients' ED visit, controlling for demographic, clinical and insurance factors. All costs are 2015 US dollars. RESULTS: The average medical cost of all fatal injuries was approximately $6880 and $41 570 per ED-based and hospital-based patient, respectively (range by injury type: $4764-$10 289 and $31 912-$95 295). The average attributable 1-year cost of all non-fatal injuries per person initially treated in an ED was approximately $6620 (range by injury type: $1698-$80 172). CONCLUSIONS AND RELEVANCE: Injuries are costly and preventable. Accurate estimates of attributable medical care costs are important to monitor the economic burden of injuries and help to prioritise cost-effective public health prevention activities.

Average lost work productivity due to non-fatal injuries by type in the USA.

OBJECTIVE: To estimate the average lost work productivity due to non-fatal injuries in the USA comprehensively by injury type. METHODS: The attributable average number and value of lost work days in the year following non-fatal emergency department (ED)-treated injuries were estimated by injury mechanism (eg, fall) and body region (eg, head and neck) among individuals age 18-64 with employer health insurance injured 1 October 2014 through 30 September 2015 as reported in MarketScan medical claims and Health and Productivity Management databases. Workplace, short-term disability and workers' compensation absences were assessed. Multivariable regression models compared lost work days among injury patients and matched controls during the year following injured patients' ED visit, controlling for demographic, clinical and health insurance factors. Lost work days were valued using an average US daily market production estimate. Costs are 2015 USD. RESULTS: The 1-year per-person average number and value of lost work days due to all types of non-fatal injuries combined were approximately 11 days and US$1590. The range by injury mechanism was 1.5 days (US$210) for bites and stings to 44.1 days (US$6196) for motorcycle injuries. The range by body region was 4.0 days (US$567) for other head, face and neck injuries to 19.8 days (US$2787) for traumatic brain injuries. CONCLUSIONS AND RELEVANCE: Injuries are costly and preventable. Accurate estimates of attributable lost work productivity are important to monitor the economic burden of injuries and help to prioritise cost-effective public health prevention activities.

Infant Homicides Within the Context of Safe Haven Laws - United States, 2008-2017.

Homicide is the 13th leading cause of death among infants (i.e., children aged <1 year) in the United States (1). Infant homicides occurring within the first 24 hours of life (i.e., neonaticide) are primarily perpetrated by the mother, who might be of young age, unmarried, have lower educational attainment, and is most likely associated with concealment of an unintended pregnancy and nonhospital birthing (2). After the first day of life, infant homicides might be associated with other factors (e.g., child abuse and neglect or caregiver frustration) (2). A 2002 study of the age variation in homicide risk in U.S. infants during 1989-1998 found that the overall infant homicide rate was 8.3 per 100,000 person-years, and on the first day of life was 222.2 per 100,000 person-years, a homicide rate at least 10 times greater than that for any other time of life (3). Because of this period of heightened risk, by 2008 all 50 states* and Puerto Rico had enacted Safe Haven Laws. These laws allow a parent† to legally surrender an infant who might otherwise be abandoned or endangered (4). CDC analyzed infant homicides in the United States during 2008-2017 to determine whether rates changed after nationwide implementation of Safe Haven Laws, and to examine the association between infant homicide rates and state-specific Safe Haven age limits. During 2008-2017, the overall infant homicide rate was 7.2 per 100,000 person-years, and on the first day of life was 74.0 per 100,000 person-years, representing a 66.7% decrease from 1989-1998. However, the homicide rate on first day of life was still 5.4 times higher than that for any other time in life. No obvious association was found between infant homicide rates and Safe Haven age limits. States are encouraged to evaluate the effectiveness of their Safe Haven Laws and other prevention strategies to ensure they are achieving the intended benefits of preventing infant homicides. Programs and policies that strengthen economic supports, provide affordable childcare, and enhance and improve skills for young parents might contribute to the prevention of infant homicides.

Traumatic Brain Injury-Related Deaths by Race/Ethnicity, Sex, Intent, and Mechanism of Injury - United States, 2000-2017.

Traumatic brain injury (TBI) affects the lives of millions of Americans each year (1). To describe the trends in TBI-related deaths among different racial/ethnic groups and by sex, CDC analyzed death data from the National Vital Statistics System (NVSS) over an 18-year period (2000-2017). Injuries were also categorized by intent, and unintentional injuries were further categorized by mechanism of injury. In 2017, TBI contributed to 61,131 deaths in the United States, representing 2.2% of approximately 2.8 million deaths that year. From 2015 to 2017, 44% of TBI-related deaths were categorized as intentional injuries (i.e., homicides or suicides). The leading category of TBI-related death varied over time and by race/ethnicity. For example, during the last 10 years of the study period, suicide surpassed unintentional motor vehicle crashes as the leading category of TBI-related death. This shift was in part driven by a 32% increase in TBI-related suicide deaths among non-Hispanic whites. Firearm injury was the underlying mechanism of injury in nearly all (97%) TBI-related suicides among all groups. An analysis of TBI-related death rates by sex and race/ethnicity found that TBI-related deaths were significantly higher among males and persons who were American Indians/Alaska Natives (AI/ANs) than among all other groups across all years. Other leading categories of TBI-related deaths included unintentional motor vehicle crashes, unintentional falls, and homicide. Understanding the leading contributors to TBI-related death and identifying groups at increased risk is important in preventing this injury. Broader implementation of evidence-based TBI prevention efforts for the leading categories of injury, such as those aimed at stemming the significant increase in TBI-related deaths from suicide, are warranted.

Prevalence of Nonopioid and Opioid Prescriptions Among Commercially Insured Patients with Chronic Pain.

Objective The increased use of opioids to treat chronic pain in the past 20 years has led to a drastic increase in opioid prescribing in the United States. The Centers for Disease Control and Prevention's (CDC's) Guideline for Prescribing Opioids for Chronic Pain recommends the use of nonopioid therapy as the preferred treatment for chronic pain. This study analyzes the prevalence of nonopioid prescribing among commercially insured patients with chronic pain. Design Data from the 2014 IBM® MarketScan® databases representing claims for commercially insured patients were used. International Classification of Diseases, Ninth Revision, codes were used to identify patients with chronic pain. Nonopioid prescriptions included nonsteroidal anti-inflammatory drugs (NSAIDs), analgesics/antipyretics (e.g., acetaminophen), anticonvulsants, and antidepressant medications. The prevalence of nonopioid and opioid prescriptions was calculated by age, sex, insurance plan type, presence of a depressive or seizure disorder, and region. Results In 2014, among patients with chronic pain, 16% filled only an opioid, 17% filled only a nonopioid prescription, and 28% filled both a nonopioid and an opioid. NSAIDs and antidepressants were the most commonly prescribed nonopioids among patients with chronic pain. Having prescriptions for only nonopioids was more common among patients aged 50-64 years and among female patients. Conclusions This study provides a baseline snapshot of nonopioid prescriptions before the release of the CDC Guideline and can be used to examine the impact of the CDC Guideline and other evidence-based guidelines on nonopioid use among commercially insured patients with chronic pain.

Non-fatal self-inflicted versus undetermined intent injuries: patient characteristics and incidence of subsequent self-inflicted injuries.

BACKGROUND: Non-fatal self-inflicted (SI) injuries may be underidentified in administrative medical data sources. OBJECTIVE: Compare patients with SI versus undetermined intent (UI) injuries according to patient characteristics, incidence of subsequent SI injury and risk factors for subsequent SI injury. METHODS: Truven Health MarketScan was used to identify patients' (aged 10-64) first SI or UI injury in 2015 (index injury). Patient characteristics and subsequent SI within 1 year were assessed. A logistic regression model examined factors associated with subsequent SI. RESULTS: Among analysed patients (n=44 806; 36% SI, 64% UI), a higher proportion of patients with SI index injury were female, had preceding comorbidities (eg, depression), Medicaid (vs commercial insurance), treatment in an ambulance or hospital and cut/pierce or poisoning injuries compared with patients with UI index injury. Just 1% of patients with UI had subsequent SI≤1 year vs 16% of patients with SI. Among patients with UI index injury, incidence of and risk factors for subsequent SI injury were similar across assessed age groups (10-24 years, 25-44 years, 45-64 years). Severe injuries (eg, treated in emergency department), cut/pierce or poisoning injuries, mental health and substance use disorder comorbidities and Medicaid (among adult patients) were risk factors for subsequent SI among patients with UI index injuries. CONCLUSIONS: Regardless of circumstances that influence clinicians' SI vs UI coding decisions, information on incidence of and risk factors for subsequent SI can help to inform clinical treatment decisions when SI injury is suspected as well as provide evidence to support the development and implementation of self-harm prevention activities.

Patient Presentations in Outpatient Settings: Epidemiology of Adult Head Trauma Treated Outside of Hospital Emergency Departments.

BACKGROUND: While deaths, hospitalizations, and emergency department visits for head trauma are well understood, little is known about presentations in outpatient settings. Our objective was to examine the epidemiology and extent of healthcare-seeking adult (18-64 years) head trauma patients presenting in outpatient settings compared with patients receiving nonhospitalized emergency department care. METHODS: We used 2004-2013 MarketScan Medicaid/commercial claims to identify head trauma patients managed in outpatient settings (primary care provider, urgent care) and the emergency department. We examined differences in demographic and injury-specific factors, Centers for Disease Control and Prevention-defined head trauma diagnoses, and extent of and reasons for postindex visit ambulatory care use within 30/90/180 days by index visit location, as well as annual and monthly variations in head trauma trends. We used outpatient incidence rates to estimate the US nationwide outpatient burden. RESULTS: A total of 1.19 million index outpatient visits were included (emergency department: 348,659). Nationwide, they represented a weighted annual burden of 1.16 million index outpatient cases. These encompassed 46% of all known healthcare-seeking head trauma in 2013 (outpatient/emergency department/inpatient/fatalities) and increased in magnitude (+31%) from 2004 to 2013. One fourth (27%) of office/clinic visits led to diagnosis with concussion on index presentation (urgent care: 32%). Distributions of demographic factors varied with index visit location while injury-specific factors were largely comparable. Subsequent visits reflected high demand for follow-up treatment, increased concussive diagnoses, and sequelae-associated care. CONCLUSIONS: Adult outpatient presentations of head trauma remain poorly understood. The results of this study demonstrate the extensive magnitude of their occurrence and close association with need for follow-up care.

The Epidemiology of Pediatric Head Injury Treated Outside of Hospital Emergency Departments.

BACKGROUND: Although head trauma-related deaths, hospitalizations, and emergency department visits are well characterized, few studies describe pediatric patients presenting outside of emergency departments. We compared the epidemiology and extent of healthcare-seeking pediatric (0-17 years) patients presenting in outpatient settings with those of patients seeking nonhospitalized emergency department care. METHODS: We used MarketScan Medicaid and commercial claims, 2004-2013, to identify patients managed in two outpatient settings (physician's offices/clinics, urgent care) and the emergency department. We then examined differences in demographic and injury-specific factors, Centers for Disease Control and Prevention-defined head trauma diagnoses, the extent of and reasons for post-index visit ambulatory care use within 30/90/180 days, and annual and monthly variations in head trauma trends. Outpatient incidence rates in 2013 provided estimates of the nationwide US outpatient burden. RESULTS: A total of 1,683,097 index visits were included, representing a nationwide burden in 2013 of 844,660 outpatient cases, a number that encompassed 51% of healthcare-seeking head trauma that year and that substantially increased in magnitude from 2004 to 2013. Two-thirds (68%) were managed in outpatient settings. While demographic distributions varied with index-visit location, injury-specific factors were comparable. Seasonal spikes appeared to coincide with school sports. CONCLUSIONS: There is an urgent need to better understand the natural history of head trauma in the >800,000 pediatric patients presenting each year for outpatient care. These outpatient injuries, which are more than double the number of head trauma cases recorded in the hospital-affiliated settings, illustrate the potential importance of expanding inclusion criteria in surveillance and prevention efforts designed to address this critical issue.

Epidemiology of Isolated Versus Nonisolated Mild Traumatic Brain Injury Treated in Emergency Departments in the United States, 2006-2012: Sociodemographic Characteristics.

OBJECTIVES: To describe the frequencies and rates of mild traumatic brain injury (mTBI) emergency department (ED) visits, analyze the trend across the years, and compare sociodemographic characteristics of visits by mTBI type (ie, mTBI as the only injury, or present along with other injuries). DESIGN: Population-based descriptive study using data from the Nationwide Emergency Department Sample (2006-2012). METHODS: Joinpoint regression was used to calculate the average annual percent changes of mTBI incidence rates. Characteristics between isolated and nonisolated visits were compared, and the odds ratios were reported. RESULTS: The rate per 100 000 population of mTBI ED visits in the United States increased significantly from 569.4 (in 2006) to 807.9 (in 2012). The highest rates were observed in 0- to 4-year-olds, followed by male 15- to 24-year-olds and females 65 years and older; the lowest rates were among 45- to 64-year-olds. The majority (70%) of all visits were nonisolated and occurred more frequently in residents of metropolitan areas. Falls were the leading external cause. Most visits were privately insured or covered by Medicare/Medicaid, and the injury occurred on weekdays in predominantly metropolitan hospitals in the South region. CONCLUSIONS: The burden of mTBI in US EDs is high. Most mTBI ED visits present with other injuries. Awareness of sociodemographic factors associated with nonisolated mTBI may help improve diagnosis in US EDs. This information has implications for resource planning and mTBI screening in EDs.

The Economic Burden of Prescription Opioid Overdose, Abuse, and Dependence in the United States, 2013.

IMPORTANCE: It is important to understand the magnitude and distribution of the economic burden of prescription opioid overdose, abuse, and dependence to inform clinical practice, research, and other decision makers. Decision makers choosing approaches to address this epidemic need cost information to evaluate the cost effectiveness of their choices. OBJECTIVE: To estimate the economic burden of prescription opioid overdose, abuse, and dependence from a societal perspective. DESIGN, SETTING, AND PARTICIPANTS: Incidence of fatal prescription opioid overdose from the National Vital Statistics System, prevalence of abuse and dependence from the National Survey of Drug Use and Health. Fatal data are for the US population, nonfatal data are a nationally representative sample of the US civilian noninstitutionalized population ages 12 and older. Cost data are from various sources including health care claims data from the Truven Health MarketScan Research Databases, and cost of fatal cases from the WISQARS (Web-based Injury Statistics Query and Reporting System) cost module. Criminal justice costs were derived from the Justice Expenditure and Employment Extracts published by the Department of Justice. Estimates of lost productivity were based on a previously published study. EXPOSURE: Calendar year 2013. MAIN OUTCOMES AND MEASURES: Monetized burden of fatal overdose and abuse and dependence of prescription opioids. RESULTS: The total economic burden is estimated to be $78.5 billion. Over one third of this amount is due to increased health care and substance abuse treatment costs ($28.9 billion). Approximately one quarter of the cost is borne by the public sector in health care, substance abuse treatment, and criminal justice costs. CONCLUSIONS AND RELEVANCE: These estimates can assist decision makers in understanding the magnitude of adverse health outcomes associated with prescription opioid use such as overdose, abuse, and dependence.

Changes in the medical management of patients on opioid analgesics following a diagnosis of substance abuse.

PURPOSE: When providers recognize that patients are abusing prescription drugs, review of the drugs they are prescribed and attempts to treat the substance use disorder are warranted. However, little is known about whether prescribing patterns change following such a diagnosis. METHODS: We used national longitudinal health claims data from the Market Scan® commercial claims database for January 2010-June 2011. We used a cohort of 1.85 million adults 18-64 years old prescribed opioid analgesics but without abuse diagnoses during a 6-month "preabuse" period. We identified a subset of 9009 patients receiving diagnoses of abuse of non-illicit drugs (abuse group) during a 6-month "abuse" period and compared them with patients without such a diagnosis (nonabuse group) during both the abuse period and a subsequent 6-month "postabuse" period. RESULTS: During the abuse period 5.78% of the abuse group and 0.14% of the nonabuse group overdosed. Overdose rates declined to 2.12% in the abuse group in the postabuse period. Opioid prescribing rates declined 13.5%, and benzodiazepine rates declined 12.3% in the abuse group in the post-abuse period. Antidepressants and gabapentin were prescribed to roughly one half and one quarter of the abuse group, respectively, during all three periods. Daily opioid dosage did not decline in the abuse group following diagnosis. CONCLUSIONS: Prescribing to people who abuse drugs changes little after their abuse is documented. Actions such as tapering opioid and benzodiazepine prescriptions, maximizing alternative treatments for pain, and greater use of medication-assisted treatment such as buprenorphine could help reduce risk in this population. Published 2016. This article is a U.S. Government work and is in the public domain in the USA.

Hospitalized Traumatic Brain Injury: Low Trauma Center Utilization and High Interfacility Transfers among Older Adults.

OBJECTIVE: Guidelines suggest that Traumatic Brain Injury (TBI) related hospitalizations are best treated at Level I or II trauma centers because of continuous neurosurgical care in these settings. This population-based study examines TBI hospitalization treatment paths by age groups. METHODS: Trauma center utilization and transfers by age groups were captured by examining the total number of TBI hospitalizations from National Inpatient Sample (NIS) and the number of TBI hospitalizations and transfers in the Trauma Data Bank National Sample Population (NTDB-NSP). TBI cases were defined using diagnostic codes. RESULTS: Of the 351,555 TBI related hospitalizations in 2012, 47.9% (n = 168,317) were directly treated in a Level I or II trauma center, and an additional 20.3% (n = 71,286) were transferred to a Level I or II trauma center. The portion of the population treated at a trauma center (68.2%) was significantly lower than the portion of the U.S. population who has access to a major trauma center (90%). Further, nearly half of all transfers to a Level I or II trauma center were adults aged 55 and older (p < 0.001) and that 20.2% of pediatric patients arrive by non-ambulatory means. CONCLUSION: Utilization of trauma center resources for hospitalized TBIs may be low considering the established lower mortality rate associated with treatment at Level I or II trauma centers. The higher transfer rate for older adults may suggest rapid decline amid an unrecognized initial need for a trauma center care. A better understanding of hospital destination decision making is needed for patients with TBI.

Paid family leave's effect on hospital admissions for pediatric abusive head trauma.

Paediatric abusive head trauma (AHT) is a leading cause of fatal child maltreatment among young children. Current prevention efforts have not been consistently effective. Policies such as paid parental leave could potentially prevent AHT, given its impacts on risk factors for child maltreatment. To explore associations between California's 2004 paid family leave (PFL) policy and hospital admissions for AHT, we used difference-in-difference analyses of 1995-2011 US state-level data before and after the policy in California and seven comparison states. Compared with seven states with no PFL policies, California's 2004 PFL showed a significant decrease in AHT admissions in both <1 and <2-year-olds. Analyses using additional data years and comparators could yield different results.

Professional Fee Ratios for US Hospital Discharge Data.

BACKGROUND: US hospital discharge datasets typically report facility charges (ie, room and board), excluding professional fees (ie, attending physicians' charges). OBJECTIVES: We aimed to estimate professional fee ratios (PFR) by year and clinical diagnosis for use in cost analyses based on hospital discharge data. SUBJECTS: The subjects consisted of a retrospective cohort of Truven Health MarketScan 2004-2012 inpatient admissions (n=23,594,605) and treat-and-release emergency department (ED) visits (n=70,771,576). MEASURES: PFR per visit was assessed as total payments divided by facility-only payments. RESEARCH DESIGN: Using ordinary least squares regression models controlling for selected characteristics (ie, patient age, comorbidities, etc.), we calculated adjusted mean PFR for admissions by health insurance type (commercial or Medicaid) per year overall and by Major Diagnostic Category (MDC), Diagnostic Related Group, Healthcare Cost and Utilization Project Clinical Classification Software, and primary International Classification of Diseases, 9th Edition, Clinical Modification (ICD-9-CM) diagnosis, and for ED visits per year overall and by MDC and primary ICD-9-CM diagnosis. RESULTS: Adjusted mean PFR for 2012 admissions, including preceding ED visits, was 1.264 (95% CI, 1.264, 1.265) for commercially insured admissions (n=2,614,326) and 1.177 (1.176, 1.177) for Medicaid admissions (n=816,503), indicating professional payments increased total per-admission payments by an average 26.4% and 17.7%, respectively, above facility-only payments. Adjusted mean PFR for 2012 ED visits was 1.286 (1.286, 1.286) for commercially insured visits (n=8,808,734) and 1.440 (1.439, 1.440) for Medicaid visits (n=2,994,696). Supplemental tables report 2004-2012 annual PFR estimates by clinical classifications. CONCLUSIONS: Adjustments for professional fees are recommended when hospital facility-only financial data from US hospital discharge datasets are used to estimate health care costs.

Comparability of national estimates for traumatic brain injury-related medical encounters.

OBJECTIVE: To describe similarities and differences in the number of civilian traumatic brain injury (TBI)-related hospitalizations and emergency department visits between national databases that capture US hospital data. PARTICIPANTS: TBI-related hospitalizations included in the National Hospital Discharge Survey (NHDS) and Healthcare Cost and Utilization Project Nationwide Inpatient Sample (HCUP-NIS) and emergency department visits in the National Hospital Ambulatory Medical Care Survey (NHAMCS) and HCUP Nationwide Emergency Department Sample (HCUP-NEDS) for 2006-2010. DESIGN: Cross-sectional design. MAIN MEASURES: Nationwide counts of TBI-related medical encounters. RESULTS: Overall, the frequency of TBI is comparable when comparing NHDS with HCUP-NIS and NHAMCS with HCUP-NEDS. However, annual counts in both NHDS and NHAMCS are consistently unstable when examined in smaller subgroups, such as by age group and injury mechanism. Injury mechanism is consistently missing from many more records in NHDS compared with HCUP-NIS. CONCLUSION: Given the large sample size of HCUP-NIS and HCUP-NEDS, these data can offer a valuable resource for examining TBI-related hospitalization and emergency department visits, especially by subgroup. These data hold promise for future examinations of annual TBI counts, but ongoing comparisons with national probability samples will be necessary to ensure that HCUP continues to track with estimates from these data.