23 research outputs found

    Potential injuries and costs averted by increased use of evidence-based behavioral road safety policies in North Carolina

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    Objective: The purpose of this study was to estimate the potential injuries and costs that could be averted by implementing evidence-based road safety policies and interventions not currently utilized in one U.S. state, North Carolina (NC). NC consistently has annual motor vehicle-related death rates above the national average. Methods: We used the Centers for Disease Control and Prevention’s Motor Vehicle Prioritizing Interventions and Cost Calculator for States (MV PICCS) tool as a foundation for examining the potential injuries and costs that could be averted from underutilized evidence-based policies, assuming a 1.5millionimplementationbudgetandthatincomegeneratedfrompolicy−relatedfinesandfeeswouldhelpoffsetcosts.Wefurtherexaminedcostsbypayersource.Results:ModelresultsindicatedthatseveninterventionsshouldbeprioritizedforimplementationinNC:increasedalcoholignitioninterlockuse,increasedseatbeltfines,in−personlicenserenewalforages70andolder,licenseplateimpoundment,seatbeltenforcementcampaigns,saturationpatrols,andspeedcameras.Increasingtheseatbeltfinehadthepotentialtoavertthegreatestnumberoffatal(n=70)andnon−fatal(n=6,597)injuriesannually,alongwithbeingthemostcost−effectiveoftherecommendedinterventions.Collectively,thesevenrecommendedevidence−basedpolicies/interventionshavethepotentialtoavert302fatalinjuries,16,607non−fatalinjuries,and1.5 million implementation budget and that income generated from policy-related fines and fees would help offset costs. We further examined costs by payer source. Results: Model results indicated that seven interventions should be prioritized for implementation in NC: increased alcohol ignition interlock use, increased seat belt fines, in-person license renewal for ages 70 and older, license plate impoundment, seat belt enforcement campaigns, saturation patrols, and speed cameras. Increasing the seat belt fine had the potential to avert the greatest number of fatal (n = 70) and non-fatal (n = 6,597) injuries annually, along with being the most cost-effective of the recommended interventions. Collectively, the seven recommended evidence-based policies/interventions have the potential to avert 302 fatal injuries, 16,607 non-fatal injuries, and 839 million annually in NC with the greatest costs averted for insurers. Conclusions: This study demonstrates the utility of the MV PICCS tool as a foundation for exploring state-specific impacts that could be realized through increased evidence-based road safety policy and intervention implementation. For NC, we found that increasing the seat belt fine would avert the most injuries, and had the greatest financial benefits for the state, and the lowest implementation costs. Incorporating fines and fees into policy implementation can create important financial feedbacks that allow for implementation of additional evidence-based and cost-effective policies/interventions. Given the recent uptick in U.S. motor vehicle-related deaths, analyses informed by the MV PICCS tool can help researchers and policy makers initiate discussions about successful state-specific strategies for reducing the burden of crashes

    Linking Emergency Medical Services and Emergency Department Data to Improve Overdose Surveillance in North Carolina

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    Introduction Linking emergency medical services (EMS) data to emergency department (ED) data enables assessing the continuum of care and evaluating patient outcomes. We developed novel methods to enhance linkage performance and analysis of EMS and ED data for opioid overdose surveillance in North Carolina. Methods We identified data on all EMS encounters in North Carolina during January 1–November 30, 2017, with documented naloxone administration and transportation to the ED. We linked these data with ED visit data in the North Carolina Disease Event Tracking and Epidemiologic Collection Tool. We manually reviewed a subset of data from 12 counties to create a gold standard that informed developing iterative linkage methods using demographic, time, and destination variables. We calculated the proportion of suspected opioid overdose EMS cases that received International Classification of Diseases, Tenth Revision, Clinical Modification diagnosis codes for opioid overdose in the ED. Results We identified 12 088 EMS encounters of patients treated with naloxone and transported to the ED. The 12-county subset included 1781 linkage-eligible EMS encounters, with historical linkage of 65.4% (1165 of 1781) and 1.6% false linkages. Through iterative linkage methods, performance improved to 91.0% (1620 of 1781) with 0.1% false linkages. Among statewide EMS encounters with naloxone administration, the linkage improved from 47.1% to 91.1%. We found diagnosis codes for opioid overdose in the ED among 27.2% of statewide linked records. Practice Implications Through an iterative linkage approach, EMS–ED data linkage performance improved greatly while reducing the number of false linkages. Improved EMS–ED data linkage quality can enhance surveillance activities, inform emergency response practices, and improve quality of care through evaluating initial patient presentations, field interventions, and ultimate diagnoses

    Trends in unintentional polysubstance overdose deaths and individual and community correlates of polysubstance overdose, North Carolina, 2009-2018

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    Background: Polysubstance involvement is increasing among fatal drug overdoses. However, little is known about the epidemiology of polysubstance drug overdoses. This paper describes emerging trends in unintentional polysubstance overdose deaths in North Carolina (NC) and examines associations with individual and community factors. Methods: Using 2009–2018 NC death certificate data, we identified unintentional drug overdose deaths and commonly involved substances (opioids, stimulants, benzodiazepines, alcohol, and antiepileptics). We examined polysubstance combinations, comparing opioid and non-opioid involved deaths. We examined individual level correlates from death certificate data and community level correlates from the American Community Survey and Robert Wood Johnson Foundation County Health Rankings to quantify associations. Results: From 2009–2018, 53 % of opioid and 19 % of non-opioid overdose deaths involved multiple substances. During this period, polysubstance overdose death increased dramatically, from 2.9 to 12.1 per 100,000 persons, with the greatest increases among drug combinations involving stimulants. The most common polysubstance combinations were: opioids and stimulants (12.1 % of overdose deaths); opioids and benzodiazepines (9.0 %); opioids and alcohol (5.1 %); opioids, stimulants, and benzodiazepines (3.1 %); and opioids, benzodiazepines, and antiepileptics (2.2 %). Compared to overdoses involving opioids alone, overdoses involving combinations of opioids, stimulants, and benzodiazepines involved younger individuals (53.7 % in 15−34 years of age vs. 40.7 %). Men comprised two-thirds of overdoses involving opioids alone, however, overdoses involving opioids, benzodiazepines, and antiepileptics were predominantly among women (60.6 %). Conclusions: Polysubstance involvement has increased among overdose deaths in NC. These findings can be used to inform public health interventions addressing polysubstance deaths and associated individual and community level factors

    Suicide typologies among Medicaid beneficiaries, North Carolina 2014–2017

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    Background: There is a well-established need for population-based screening strategies to identify people at risk of suicide. Because only about half of suicide decedents are ever diagnosed with a behavioral health condition, it may be necessary for providers to consider life circumstances that may also put individuals at risk. This study described the alignment of medical diagnoses with life circumstances by identifying suicide typologies among decedents. Demographics, stressful life events, suicidal behavior, perceived and diagnosed health problems, and suicide method contributed to the typologies. Methods: This study linked North Carolina Medicaid and North Carolina Violent Death Reporting System (NC-VDRS) data for analysis in 2020. For suicide decedents from 2014 to 2017 aged 25–54 years, we analyzed 12 indicators of life circumstances from NC-VDRS and 6 indicators from Medicaid claims, using a latent class model. Separate models were developed for men and women. Results: Most decedents were White (88.3%), with a median age of 41, and over 70% had a health care visit in the 90 days prior to suicide. Two typologies were identified in both males (n = 175) and females (n = 153). Both typologies had similar profiles of life circumstances, but one had high probabilities of diagnosed behavioral health conditions (45% of men, 71% of women), compared to low probabilities in the other (55% of men, 29% of women). Black beneficiaries and men who died by firearm were over-represented in the less-diagnosed class, though estimates were imprecise (odds ratio for Black men: 3.1, 95% confidence interval: 0.8, 12.4; odds ratio for Black women: 5.0, 95% confidence interval: 0.9, 31.2; odds ratio for male firearm decedents: 1.6, 95% confidence interval: 0.7, 3.4). Conclusions: Nearly half of suicide decedents have a typology characterized by low probability of diagnosis of behavioral health conditions. Suicide screening could likely be enhanced using improved indicators of lived experience and behavioral health

    Use of syndromic surveillance data to monitor poisonings and drug overdoses in state and local public health agencies

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    Background The incidence of poisoning and drug overdose has risen rapidly in the USA over the last 16 years. To inform local intervention approaches, local health departments (LHDs) in North Carolina (NC) are using a statewide syndromic surveillance system that provides timely, local emergency department (ED) and Emergency Medical Services (EMS) data on medication and drug overdoses. Objective The purpose of this article is to describe the development and use of a variety of case definitions for poisoning and overdose implemented in NC’s syndromic surveillance system and the impact of the system on local surveillance initiatives. Design, setting, participants Thirteen new poisoning and overdose-related case definitions were added to NC’s syndromic surveillance system and LHDs were trained on their use for surveillance purposes. Twenty-one LHDs were surveyed on the utility and impact of these new case definitions. Results/Conclusions Ninety-one per cent of survey respondents (n = 29) agreed or strongly agreed that their ability to access timely ED data was vital to inform community-level overdose prevention work. Providing LHDs with access to local, timely data to identify pockets of need and engage stakeholders facilitates the practice of informed injury prevention and contributes to the reduction of injury incidence in their communities

    Sustained impacts of North Carolina prison therapeutic diversion units on behavioral outcomes, mental health, self-injury, and restrictive housing readmission

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    Therapeutic Diversion Units (TDUs) in North Carolina prisons are intended to reduce cycling of individuals with mental health conditions through restrictive housing (i.e., solitary confinement). This paper investigates if previously identified benefits of TDU are sustained when individuals return to the general prison population. Using administrative data on 3170 people, we compare individuals placed in TDUs to TDU-eligible individuals (i.e., individuals with mental health needs) placed in restrictive housing. We use survival analysis methods to estimate hazard ratios (HRs) with confidence intervals (CIs), controlling for confounders. Compared to restrictive housing placement, TDU placement reduced the hazard of infractions (HR: 0.66; 95% CI: 0.52, 0.84) and subsequent restrictive housing placement (HR: 0.64; 95% CI: 0.55, 0.73) but increased the hazard of self-harm (HR: 2.67; 95% CI: 1.66, 4.29) upon program release to the general prison population. These findings suggest a need for additional investments and research on restrictive housing diversion programming, including post-diversion program supports

    Association Between Medical Diagnoses and Suicide in a Medicaid Beneficiary Population, North Carolina 2014–2017

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    Background: Firearms are used in about half of U.S. suicides. This study investigated how various medical diagnoses are associated with firearm and nonfirearm suicide. Methods: We used a case–control design including n = 691 North Carolina Medicaid beneficiaries who died from suicide between 1 January 2014 and 31 December 2017 as cases. We selected a total of n = 68,682 controls (~1:100 case–control ratio from North Carolina Medicaid member files using incidence density sampling methods). We linked Medicaid claims to the North Carolina Violent Death Reporting System to ascertain suicide and means (firearm or nonfirearm). We matched cases and controls on number of months covered by Medicaid over the past 36 months. Analyses adjusted for sex, race, age, Supplemental Security Income status, the Charlson Comorbidity Index, and frequency of health care encounters. Results: The case–control odds ratios for any mental health disorder were 4.2 (95% confidence interval [CI]: 3.3, 5.2) for nonfirearm suicide and 2.2 (95% CI: 1.7, 2.9) for firearm suicide. There was effect measure modification by sex and race. Behavioral health diagnoses were more strongly associated with nonfirearm suicides than firearm suicide in men but did not differ substantially in women. The association of mental health and substance use diagnoses with suicides appeared to be weaker in Blacks (vs. non-Blacks), but the estimates were imprecise. Conclusion: Behavioral health diagnoses are important indicators of risk of suicide. However, these associations differ by means of suicide and sex, and associations for firearm-related suicide are weaker in men than women

    Impact of a Prison Therapeutic Diversion Unit on Mental and Behavioral Health Outcomes

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    Introduction: Incarcerated individuals with mental health disorders are disproportionally sent to restrictive housing (i.e., solitary confinement), which is known to have deleterious impacts on mental health. In response, North Carolina's prison system developed Therapeutic Diversion Units, treatment-oriented units for incarcerated individuals with high mental health needs who cycle in and out of restrictive housing. This analysis compares the impact of restrictive housing and Therapeutic Diversion Units on infractions, mental health, and self-harm among incarcerated individuals. Methods: Data were 2016–2019 incarceration records from North Carolina prisons. Outcomes were rates of infractions, inpatient mental health admissions, and self-harm in restrictive housing and Therapeutic Diversion Units. Inverse probability of treatment weights was used to adjust for confounding, and Poisson regression with generalized estimating equations was used to estimate adjusted rate ratios. Analyses were conducted between January and December 2020. Results: The analytic sample was 3,480 people, of whom 463 enrolled in a Therapeutic Diversion Unit. Compared with Therapeutic Diversion Unit rates, the rate of infractions was 3 times as high in restrictive housing (adjusted rate ratio=2.99, 95% CI=2.31, 3.87), the inpatient mental health admissions rate was 3.5 times as high (adjusted rate ratio=3.57, 95% CI=1.97, 6.46), and the self-injury incident rate was 3.5 times as high (adjusted rate ratio=3.46, 95% CI=2.11, 5.69). Conclusions: Therapeutic Diversion Unit use had strong impacts on infractions, mental health, and self-harm. Therapeutic Diversion Units provide a promising alternative to restrictive housing for individuals with mental health disorders

    Association of Restrictive Housing During Incarceration With Mortality After Release

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    Importance: Restrictive housing, otherwise known as solitary confinement, during incarceration is associated with poor health outcomes. Objective: To characterize the association of restrictive housing with reincarceration and mortality after release. Design, Setting, and Participants: This retrospective cohort study included 229 274 individuals who were incarcerated and released from the North Carolina prison system from January 2000 to December 2015. Incarceration data were matched with death records from January 2000 to December 2016. Covariates included age, number of prior incarcerations, type of conviction, mental health treatment recommended or received, number of days served in the most recent sentence, sex, and race. Data analysis was conducted from August 2018 to May 2019. Exposures: Restrictive housing during incarceration. Main Outcomes and Measures: Mortality (all-cause, opioid overdose, homicide, and suicide) and reincarceration. Results: From 2000 to 2015, 229 274 people (197 656 [86.2%] men; 92 677 [40.4%] white individuals; median [interquartile range (IQR)] age, 32 years [26-42]), were released 398 158 times from the state prison system in North Carolina. Those who spent time in restrictive housing had a median (IQR) age of 30 (24-38) years and a median (IQR) sentence length of 382 (180-1010) days; 84 272 (90.3%) were men, and 59 482 (63.7%) were nonwhite individuals. During 130 551 of 387 913 incarcerations (33.7%) people were placed in restrictive housing. Compared with individuals who were incarcerated and not placed in restrictive housing, those who spent any time in restrictive housing were more likely to die in the first year after release (hazard ratio [HR], 1.24; 95% CI 1.12-1.38), especially from suicide (HR, 1.78; 95% CI, 1.19-2.67) and homicide (HR, 1.54; 95% CI, 1.24-1.91). They were also more likely to die of an opioid overdose in the first 2 weeks after release (HR, 2.27; 95% CI, 1.16-4.43) and to become reincarcerated (HR, 2.16; 95% CI, 1.99-2.34). Conclusions and Relevance: This study suggests that exposure to restrictive housing is associated with an increased risk of death during community reentry. These findings are important in the context of ongoing debates about the harms of restrictive housing, indicating a need to find alternatives to its use and flagging restrictive housing as an important risk factor during community reentry

    Impact of a community-based naloxone distribution program on opioid overdose death rates

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    Background: In August 2013, a naloxone distribution program was implemented in North Carolina (NC). This study evaluated that program by quantifying the association between the program and county-level opioid overdose death (OOD) rates and conducting a cost-benefit analysis. Methods: One-group pre-post design. Data included annual county-level counts of naloxone kits distributed from 2013 to 2016 and mortality data from 2000-2016. We used generalized estimating equations to estimate the association between cumulative rates of naloxone kits distributed and annual OOD rates. Costs included naloxone kit purchases and distribution costs; benefits were quantified as OODs avoided and monetized using a conservative value of a life. Results: The rate of OOD in counties with 1–100 cumulative naloxone kits distributed per 100,000 population was 0.90 times (95% CI: 0.78, 1.04) that of counties that had not received kits. In counties that received >100 cumulative kits per 100,000 population, the OOD rate was 0.88 times (95% CI: 0.76, 1.02) that of counties that had not received kits. By December 2016, an estimated 352 NC deaths were avoided by naloxone distribution (95% CI: 189, 580). On average, for every dollar spent on the program, there was 2742ofbenefitduetoOODsavoided(952742 of benefit due to OODs avoided (95% CI: 1,237, $4882). Conclusions: Our estimates suggest that community-based naloxone distribution is associated with lower OOD rates. The program generated substantial societal benefits due to averted OODs. States and communities should continue to support efforts to increase naloxone access, which may include reducing legal, financial, and normative barriers
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