Low acceptance of intimate partner violence by pregnant women in Uganda predicts higher uptake of HIV self-testing among their male partners.

Introduction: Heterosexual couples are at high risk for HIV acquisition in sub-Saharan Africa, and HIV self-testing (HST) is an additional approach to expand access to HIV testing services. However, it is not well known how gender equality is associated with HST.Methods: We used intervention-arm data from a cluster-randomised controlled HST intervention trial (N = 1 618) conducted in Uganda to determine the association between attitudes towards intimate partner violence (IPV), decision-making power and male partner's uptake of HST among heterosexual couples expecting a child in south-central Uganda. The original study question was to assess the impact of providing pregnant women with HST kits to improve male partner's HIV testing rates. For this analysis, the primary exposures were gender equality (measured by male partner's and female partner's attitudes towards IPV and the female partner's household decision-making power), and the primary outcome was the male partner's uptake of HST. Multivariate logistic regression was used for analysis.Results: We found that male partner HST uptake did not vary depending on male partner's attitudes towards IPV or decision-making power; however, male partner HST uptake did depend on the female partner's attitude towards IPV, with 1.76 times more testing (95% CI 1.06-2.92) in couples where the woman had "medium" versus "high" acceptance of IPV, and 1.82 times more testing (95% CI 1.08-3.08) in couples where the woman had "low" versus "high" acceptance of IPV.Conclusions: This study shows the importance of appropriate negative attitudes by women to IPV in increasing male partner's HST uptake to integrate HST into national health care policies.

NICU infants who require a feeding gastrostomy for discharge.

OBJECTIVE: To determine population data for infants receiving a gastrostomy tube (GT) in our Neonatal Intensive Care Unit (NICU) to better understand the premature infant population at risk for GT prior to discharge. STUDY DESIGN: We identified all NICU infants born 2015-2016 who received a GT and determined the birth gestational age below which GTs were placed due to oral feeding failure secondary to prematurity-related comorbidities, rather than anomalies or other reasons. Aggregate data were used to compare infants born <30 weeks (w) gestation who received a GT with those who did not. RESULTS: GTs were placed in 117 infants. More than half of the NICU patients who receive GTs were actually >32 weeks gestation; a cut-off of <30w was a good identifier for those who failed achieving full oral feeds due to prematurity-related problems. Infants born <30w (n = 282) not receiving GTs were discharged at a significantly lower postmenstrual age (36w) and lower weight (2.3 kg) compared with infants who received a GT (49w, 5 kg). CONCLUSIONS: The population of premature infants born <30w gestation constitute the population of infants at risk for a GT based solely on prematurity. LEVELS OF EVIDENCE: III.

The Rates of Nonunion and Malunion in Lower Extremity Fractures: Experience in South Carolina over 17 years.

Our purpose was to determine the rates of lower extremity nonunion and malunion over 17 years in South Carolina. Our hypothesis was that malunions and nonunions decreased over time due to improved access to trauma centers and improved orthopaedic surgical training. The South Carolina Department of Budget and Control Hospital Discharge Database was queried between 1998-2014 and yielded a total of 4,994 malunions and 16,454 nonunions. Malunions increased from 1.2% (1998) to 1.8% (2010); nonunions increased from 4.0% (1999) to 5.8% (2011). Older age and gender were predictive of malunion and nonunion. This study identified females as having a higher odds ratio for malunion or nonunion; higher nonunion rates in worker's compensation or government payer status; and older age as incurring greater risks for sustaining fractures or developing a malunion or nonunion. There was increased prevalence of nonunion and malunion despite improved access to trauma centers and trained orthopaedic trauma surgeons. (Journal of Surgical Orthopaedic Advances 29(3):129-134, 2020).

Socio-demographic predictors of gender inequality among heterosexual couples expecting a child in south-central Uganda.

BACKGROUND: Gender inequality is a pervasive problem in sub-Saharan Africa, and has negative effects on health and development. OBJECTIVE: Here, we sought to identify socioeconomic predictors of gender inequality (measured by low decision-making power and high acceptance of intimate partner violence) within heterosexual couples expecting a child in south-central Uganda. METHOD: We used data from a two-arm cluster randomized controlled HIV self-testing intervention trial conducted in three antenatal clinics in south-central Uganda among 1,618 enrolled women and 1,198 male partners. Analysis included Cochran Mantel-Haenzel, proportional odds models, logistic regression, and generalized linear mixed model framework to account for site-level clustering. RESULTS: Overall, we found that 31.1% of men had high acceptance of IPV, and 15.9% of women had low decision-making power. We found religion, education, HIV status, age, and marital status to significantly predict gender equality. Specifically, we observed lower gender equality among Catholics, those with lower education, those who were married, HIV positive women, and older women. CONCLUSION: By better understanding the prevalence and predictors of gender inequality, this knowledge will allow us to better target interventions (increasing education, reducing HIV prevalence in women, targeting interventions different religions and married couples) to decrease inequalities and improve health care delivery to underserved populations in Uganda.

Relationship Gender Equality and Couples' Uptake of Oral Human Immunodeficiency Virus Self-Testing Kits Delivered by Pregnant Women in Kenya.

BACKGROUND: Higher gender equality is associated with many human immunodeficiency virus (HIV) preventive behaviors, including HIV testing. HIV self-testing is a relatively new testing technology that could assist with HIV prevention. However, there are no studies examining gender equality and HIV self-testing. We examined the associations between gender equality and couples' uptake of HIV self-testing among heterosexual couples expecting a child in central Kenya. METHODS: This analysis used data from a HIV self-testing randomized intervention trial among pregnant women attending antenatal care and their male partners. The primary exposures were gender equality (measured by the male partner's attitudes toward intimate partner violence, and the woman's report on her household decision making power), and the primary outcome was couples' uptake of HIV self-testing. Generalized linear mixed models framework was used to account for site-level clustering. RESULTS: In comparison to male partners reporting high acceptance of intimate partner violence, couples with male partners reporting medium acceptance (odds ratio, 2.36; 95% confidence interval, 0.99-5.63) or low acceptance (odds ratio, 2.50; 95% confidence interval, 1.20-5.21) were significantly more likely to use HIV self-testing. Gender equality measured by decision making power was not associated with couples' uptake of HIV self-testing. CONCLUSIONS: This study is the first of its kind to examine the association between gender equality and couples' HIV self-testing. This holds important implications for HIV self-testing as we strive to achieve the United Nations Programme on HIV/acquired immune deficiency syndrome goal that 90% of individuals living with HIV should know their status.

Social and Demographic Predictors of Gender Inequality Among Heterosexual Couples Expecting a Child in Central Kenya.

Imbalance of power and equality in sexual relationships is linked to health in various ways, including (1) reduced ability to get information or take action, (2) increased violence between partners, and (3) influence on the reduced use of health services. While there has been research assessing multiple social and economic variables related to gender inequality, studies have used many different definitions of gender inequality, and there is a lack of this research within a pregnancy context. Here, we attempt to identify social and economic predictors of gender inequality (measured by decision-making power and acceptance of intimate partner violence) within heterosexual couples expecting a child in central Kenya. We ran a secondary data analysis using data from a three-arm individually randomized controlled HIV self-testing intervention trial conducted in 14 antenatal clinics in central and eastern Kenya among 1410 women and their male partners. The analysis included Cochran Mantel-Haenszel, logistic regression, proportional odds models, and generalized linear mixed model (GLMM) framework to account for site-level clustering. Overall, we show that there are significant social and economic variables associated with acceptance of intimate partner violence including higher age, being married, "other" religion, lower partner education, higher wealth status, and variables associated with decision-making power including lower partner education and lack of equality in earnings. This study contributes to the literature on the influence of social and economic factors on gender inequality, especially in Kenya which has a high burden of HIV/AIDS. Our results show some areas to improve these specific factors (including education and employment opportunities) or create interventions for targeted populations to potentially improve gender equality in heterosexual pregnant couples in Kenya.

Myocardial infarction after epilepsy onset: A population-based retrospective cohort study.

INTRODUCTION: Cardiovascular comorbidities of epilepsy such as hypertension, hyperlipidemia, and diabetes are associated with myocardial infarction (MI). Little data on the development of subsequent cardiovascular disease (CVD) in persons with epilepsy (PWE) are available, with inconsistent findings regarding the association between epilepsy and subsequent MI. A higher risk of MI among adults (without prior MI) following epilepsy diagnosis compared with that among controls was hypothesized. METHODS: This retrospective cohort study used statewide hospital and emergency department (ED) encounter data from 2000-2013 for South Carolina residents aged >18 years without prior MI at the onset of epilepsy, or the first encounter for controls. Persons with epilepsy were compared with 1) persons with migraine (PWM), whose neurological condition has characteristics similar to epilepsy; and 2) persons with isolated lower extremity fracture (PWLF). Subsequent MI was defined as a diagnosis of MI after the first clinical encounter for epilepsy, migraine, or lower extremity fracture (LEF); the association was evaluated with Cox proportional hazard modeling methods. RESULTS: In this study, 2.2% of PWE, 0.6% of PWM, and 1.2% of PWLF had a subsequent MI. Persons with epilepsy were significantly more likely to be non-Hispanic Black (NHB), be covered by Medicaid, and reside in a rural or low income area compared with PWM and PWLF. Specific cardiovascular disease risk factors were more prevalent in PWE than in PWM and PWLF. After adjustment, the hazard of subsequent MI in PWE was 48% higher than in PWM (hazard ratio (HR) = 1.48; 95% confidence intervals (CI) = 1.31-1.67) and 24% higher than in PWLF (HR = 1.24; 95% CI = 1.10-1.39). The hazard of MI increased with increasing age and number of additional comorbidities and was higher in males, those living in rural areas, and those with specific cardiovascular risk factors. CONCLUSION: Persons with epilepsy had moderately elevated risk of subsequent MI compared with PWM or PWLF. The association between epilepsy and MI needs to be further investigated, and clinical care of PWE should include evaluation and management of risk factors for MI.

Determining the Joint Effect of Obesity and Diabetes on All-Cause Mortality and Cardiovascular-Related Mortality following an Ischemic Stroke.

Although obesity and diabetes mellitus, or diabetes, are independently associated with mortality-related events (e.g., all-cause mortality and cardiovascular-related mortality) following an ischemic stroke, little is known about the joint effect of obesity and diabetes on mortality-related events following an ischemic stroke. The aim of this study is to evaluate the joint effect of obesity and diabetes on mortality-related events in subjects with a recent ischemic stroke. Data from the multicenter Prevention Regimen for Effectively Avoiding Second Strokes (PRoFESS) trial was analyzed for this study. The joint effect of obesity and diabetes on mortality-related events was estimated via Cox proportional hazards regression models. No difference in the hazard of all-cause mortality following an ischemic stroke was observed between obese subjects with diabetes and underweight/normal-weight subjects without diabetes. In contrast, obese subjects with diabetes had an increased hazard of cardiovascular-related mortality following an ischemic stroke compared with underweight/normal-weight subjects without diabetes. Additionally, there was evidence of an attributable proportion due to interaction as well as evidence of a highly statistically significant interaction on the multiplicative scale for cardiovascular-related mortality. In this clinical trial cohort of ischemic stroke survivors, obesity and diabetes synergistically interacted to increase the hazard of cardiovascular-related mortality.

Determining the joint effect of obesity and diabetes on functional disability at 3-months and on all-cause mortality at 1-year following an ischemic stroke.

BACKGROUND: Obesity and diabetes mellitus, or diabetes, are independently associated with post-ischemic stroke outcomes (e.g., functional disability and all-cause mortality). Although obesity and diabetes are also associated with post-ischemic stroke outcomes, the joint effect of obesity and diabetes on these post-ischemic stroke outcomes has not been explored previously. The purpose of the current study was to explore whether the effect of obesity on post-ischemic stroke outcomes differed by diabetes status in a cohort of acute ischemic stroke subjects with at least a moderate stroke severity. METHODS: Data from the Interventional Management of Stroke (IMS) III clinical trial was analyzed for this post-hoc analysis. A total of 656 subjects were enrolled in IMS III and were followed for one year. The joint effects of obesity and diabetes on functional disability at 3-months and all-cause mortality at 1-year were examined. RESULTS: Of 645 subjects with complete obesity and diabetes information, few were obese (25.74%) or had diabetes (22.64%). Obese subjects with diabetes and non-obese subjects without diabetes had similar odds of functional disability at 3-months following an ischemic stroke (adjusted common odds ratio, 1.038, 95% CI: 0.631, 1.706). For all-cause mortality at 1-year following an ischemic stroke, obese subjects with diabetes had a similar hazard compared with non-obese subjects without diabetes (adjusted hazard ratio, 1.005, 95% CI: 0.559, 1.808). There was insufficient evidence to declare a joint effect between obesity and diabetes on either the multiplicative scale or the additive scale for both outcomes. CONCLUSIONS: In this post-hoc analysis of data from the IMS III clinical trial of acute ischemic stroke patients with at least a moderate stroke severity, there was not sufficient evidence to determine that the effect of obesity differed by diabetes status on post-ischemic stroke outcomes. Additionally, there was not sufficient evidence to determine that either factor was independently associated with all-cause mortality. Future studies could differentiate between metabolically healthy and metabolically unhealthy patients within BMI categories to determine if the effect of obesity on post-stroke outcomes differs by diabetes status.

The epidemiology of stroke in Africa: A systematic review of existing methods and new approaches.

Accurate epidemiological surveillance of the burden of stroke is direly needed to facilitate the development and evaluation of effective interventions in Africa. The authors therefore conducted a systematic review of the methodology of stroke epidemiological studies conducted in Africa from 1970 to 2017 using gold standard criteria obtained from landmark epidemiological publications. Of 1330 articles extracted, only 50 articles were eligible for review grouped under incidence, prevalence, case-fatality, health-related quality of life, and disability-adjusted life-years studies. Because of various challenges, no study fulfilled the criteria for an excellent stroke incidence study. The relatively few stroke epidemiology studies in Africa have significant methodological flaws. Innovative approaches leveraging available information and communication technology infrastructure are recommended to facilitate rigorous epidemiological studies for accurate stroke surveillance in Africa.

Risk Factors for Admission and Prolonged Length of Stay in Pediatric Isolated Skull Fractures.

OBJECTIVES: This study aimed to assess management of pediatric isolated skull fracture (ISF) patients by determining frequency of admission and describing characteristics associated with patients admitted for observation compared with patients discharged directly from the emergency department (ED) and those requiring a prolonged hospitalization. METHODS: We evaluated children younger than 5 years who presented with ISF using the South Carolina Traumatic Brain Injury Surveillance and Registry System data from 2001 to 2011. Outcomes analyzed included discharged from ED, admitted for less than 24 hours, and admitted for more than 24 hours (prolonged hospitalization). Bivariate analyses and a polytomous logistic regression model identified factors associated with patient disposition. RESULTS: Five hundred twenty-seven patients met the study criteria (ED discharge = 283 [53%]; inpatient <24 hours = 156 [29%]; inpatient >24 hours = 88 [18%]). The mean length of stay for admissions was 1.9 (SD, 1.5) days. In the regression model, ED discharges had greater odds of presenting to levels 2 to 3 hospitals (level 2: odds ratio [OR], 6.16; 95% confidence interval [CI], 3.66-10.39; level 3: OR, 30.98; 95% CI, 10.92-87.91) and lower odds of a high poverty status (OR, 0.20; 95% CI, 0.10-0.40). Prolonged hospitalizations had greater odds of concomitant injuries (OR, 2.21; 95% CI, 1.12-4.36). CONCLUSIONS: Admission after ISF is high despite a low risk of deterioration. High-poverty patients presenting to high-acuity medical centers are more commonly admitted for observation. Only presence of concomitant injuries was clinically predictive of prolonged hospitalization. The ability to better stratify risk after pediatric ISF would help providers make more informed decisions regarding ED disposition.

Approaches for dealing with various sources of overdispersion in modeling count data: Scale adjustment versus modeling.

Overdispersion is a common problem in count data. It can occur due to extra population-heterogeneity, omission of key predictors, and outliers. Unless properly handled, this can lead to invalid inference. Our goal is to assess the differential performance of methods for dealing with overdispersion from several sources. We considered six different approaches: unadjusted Poisson regression (Poisson), deviance-scale-adjusted Poisson regression (DS-Poisson), Pearson-scale-adjusted Poisson regression (PS-Poisson), negative-binomial regression (NB), and two generalized linear mixed models (GLMM) with random intercept, log-link and Poisson (Poisson-GLMM) and negative-binomial (NB-GLMM) distributions. To rank order the preference of the models, we used Akaike's information criteria/Bayesian information criteria values, standard error, and 95% confidence-interval coverage of the parameter values. To compare these methods, we used simulated count data with overdispersion of different magnitude from three different sources. Mean of the count response was associated with three predictors. Data from two real-case studies are also analyzed. The simulation results showed that NB and NB-GLMM were preferred for dealing with overdispersion resulting from any of the sources we considered. Poisson and DS-Poisson often produced smaller standard-error estimates than expected, while PS-Poisson conversely produced larger standard-error estimates. Thus, it is good practice to compare several model options to determine the best method of modeling count data.

Behavioral health in young adults with epilepsy: Implications for transition of care.

AIM: Neurodevelopmental and behavioral health disorders commonly occur with epilepsy, yet risk for young adults is unknown. The aim of this study was to determine the distribution and risk characteristics of neurodevelopmental and behavior health comorbidities among young adults with epilepsy compared with those among young adults with migraine and healthy controls. METHOD: A case-control study examining hospital admission, outpatient, and emergency department (ED) visits for young adults with an ICD-9-CM diagnosis of epilepsy, migraine, or lower extremity fracture (LEF) was conducted. The association of epilepsy, migraine, or LEF with comorbidities was evaluated with univariate and multivariate polytomous logistic regression. RESULTS: From 2000 to 2013, 29,139 young adults ages 19 to 25years were seen in hospitals and EDs for epilepsy (5666), migraine (17,507), or LEF (5966). Young adults with epilepsy had higher proportions of behavioral health comorbidities (51.8%) compared with controls with migraine (37.6%) or LEF (21.6%). In young adults with epilepsy compared with migraine, the increased risk of having any behavioral health comorbidity was 76%, and neurodevelopmental comorbidity was 297%. After adjustment, young adults with epilepsy showed significantly higher odds of each behavioral health comorbidity compared with controls with migraine and LEF. INTERPRETATION: Young adults with epilepsy are particularly susceptible to behavioral health and neurodevelopmental disorders. Results are discussed within the context of transition to adult care.

Mortality following status epilepticus in persons with and without epilepsy.

PURPOSE: Incidence of status epilepticus (SE) ranges from 6.8 to 41.0 per 100,000 population. Although SE is associated with significant morbidity and mortality, the temporal relationship between SE, epilepsy, and mortality is less clear. The risk of all-cause mortality following SE with and without prior epilepsy was investigated. METHOD: This study identified hospitalizations and emergency department visits for persons with SE and persons with epilepsy between 2000 and 2013. Excluded were those with epilepsy subsequent to SE, epilepsia partialis continua, less than 90days follow-up, and less than 2 years of data prior to first diagnosis. The cohort was grouped into: 1) SE only, 2) post-epilepsy SE (PES), and 3) epilepsy only. The risk of mortality was estimated using Cox proportional hazard models adjusting for potential confounders. RESULTS: The cohort (N=82,331) consisted of 1296 SE only cases (1.6%); 2136 PES cases (2.6%); and 78,899 epilepsy only controls (95.8%) with 24.9%, 29.2% and 20.0% mortality, respectively. Compared with controls, the hazard of mortality was increased for those with SE only (hazard ratio [HR]=1.61, 95% CI=1.41-1.82) and PES (HR=1.16, 95% CI=1.07-1.25) after adjustment for demographic and clinical factors. Prior stroke, central nervous system infection, and brain tumor increased the mortality hazard. CONCLUSION: There is a statistically significant increased risk of all-cause mortality with SE. The risk is stronger in those with no prior epilepsy. Specific etiologies increase mortality risk in those with SE warranting further investigation of the complex associations between these etiologies and SE.

Mortality in people with epilepsy: A statewide retrospective cohort study.

RATIONALE: People with epilepsy (PWE) have a higher risk of mortality than the general population, because of disparities in the receipt of appropriate epilepsy care, which may be affected by socioeconomic status, race/ethnicity and insurance coverage. Increased epilepsy prevalence has been associated with black race, low educational attainment, unemployment, and low income levels. Rural/urban residence may affect health through individual or environmental factors. Health disparities seen in rural residents are likely amplified in rural PWE because of limited access to specialized care. This analysis aims to examine the risk of mortality attributable to rural residence in the statewide population of South Carolina (SC) after adjusting for potential confounders. METHODS: This statewide retrospective cohort study of PWE seen in SC non-federal hospitals and emergency departments from 2000 to 2013 describes the hazard of mortality by rural/urban residential status in addition to other demographic and clinical characteristics. Differences in proportions were assessed by comparison of 95% confidence intervals. The association of rural/urban residence with mortality was further evaluated with Cox proportional hazard regression controlling for demographic and clinical covariables. RESULTS: 62,794 PWE were identified, of whom 21,451 (25.7%) had died. Deceased PWE were more likely to be rural residents, black, older than age 45, Medicare insured, in the middle income group, and have 5 or more comorbid conditions compared with living PWE. After adjustment for all other covariables, the risk of mortality did not differ by rural/urban residence. Blacks had a weak but significantly higher risk than whites (hazard ratio (HR)=1.14; 95% confidence interval (CI)=1.11, 1.18) while PWE of other races had a slightly lower risk of mortality (HR=0.79; 95% CI=0.67, 0.93). Male PWE had higher hazard as did Medicare, Medicaid or commercially insured PWE, those living in zip codes with annual median incomes less than $36,000, and those with 2 or more comorbid conditions. CONCLUSIONS: While other covariables were more strongly associated with mortality after adjustment (older age, insurance coverage, income level of zip code, and number of comorbidities), the finding of a higher hazard in black PWE than white PWE after adjustment for rural/urban residence and other demographic and clinical covariables is a concern. Further, the increased risk of mortality with higher numbers of comorbid conditions warrants regular management of these conditions.

Population-based comparative analysis of risk of death in children and adolescents with epilepsy and migraine.

OBJECTIVE: Follow-up studies of children and adolescents with epilepsy (CAW-E) have revealed higher risk of mortality than children in the general population. The mortality experience of CAW-E relative to patients with other common neurologic disorders in the pediatric age group is yet undetermined. The objectives of this study are the following: (1) to compare the causes and the adjusted risk of death in CAW-E with that of children and adolescents with migraine (CAW-M) in reference to children and adolescents with lower extremity fracture (CAW-LEF), and children and adolescents in the general population; (2) to evaluate if disparate mortality risks exist by demographic characteristics. METHODS: This retrospective cohort study included 56,781 children and adolescents 0-18 years of age hospitalized or treated in an emergency or outpatient department from 2000 to 2011 for epilepsy, migraine, or lower extremity fracture from all nonfederal health care facilities. Data on deaths were acquired from linked multiple causes of death data file using person-specific unique identifiers. Time of follow-up was from initial clinical encounter to time of death or censoring date of December 31, 2011. The association of risk characteristics with mortality was examined with Cox proportional hazard model after adjusting for potential confounders. RESULTS: Four hundred forty-seven CAW-E and 125 CAW-M died yielding mortality rates of 8.71 and 1.36 per 1,000 person-years, respectively. The 5-year risk of death was 4.38% for CAW-E, 0.68% for CAW-M, and 0.71% for CAW-LEF. Adjusted hazard ratios (HRs) were 3.81 (95% confidence interval [CI] 3.08-3.72) in CAW-E and 1.14 (95% CI 0.94-1.34) in CAW-M relative to CAW-LEF. Risk of death from neurodevelopmental comorbidities was 5.86 (95% CI 4.24-8.08) times greater than those without in the model that compared epilepsy with LEF. SIGNIFICANCE: There is an elevated risk of death in CAW-E with neurodevelopmental comorbidities that remains to be proven.

Epidemiology of Pediatric Traumatic Spinal Cord Injury in a Population-Based Cohort, 1998-2012.

BACKGROUND: Traumatic spinal cord injury (SCI) that occurs in children and adolescents who are still developing represents a different challenge than SCI in adults. However, information on the epidemiology and incidence of SCI in a population-based cohort is lacking. OBJECTIVE: To describe the epidemiology of pediatric SCI in a population-based cohort in the United States and to assess trend in incidence over a 15-year period (1998-2012). METHODS: Children and adolescents (0-21 years) with SCI were identified through the South Carolina SCI Surveillance Registry using hospital discharge records from 1998 to 2012. Overall age-adjusted incidence rates were calculated for each year, and incidence rates were stratified by age, gender, and race. RESULTS: The overall age-adjusted incidence rate was 26.9 per million population, and there was a trend (P = .0583) toward decreasing incidence of pediatric SCI. When stratified by race, there was a significant decrease in incidence among Whites(P = .0052) but not among non-Whites. Younger participants were more likely to be female, to be injured through sports, and to be more likely to have concomitant traumatic brain injury. Since 1998, the proportion of older pediatric patients (16-22 years) with SCI has increased, as has the proportion of non-White patients. CONCLUSIONS: Although there was an overall trend toward decreasing incidence in this population-based cohort, when stratified by race, this trend only occurred in the White population.

Epidemiology of Traumatic Spinal Cord Injury Among Persons Older Than 21 Years: A Population-Based Study in South Carolina, 1998-2012.

BACKGROUND: A gap exists in the current knowledge regarding the epidemiology of traumatic spinal cord injury (TSCI) in a statewide population. OBJECTIVE: To describe population-based epidemiology and trend of TSCI in persons 22 years and older in South Carolina over a 15-year period from 1998 through 2012. METHODS: Data on patients with TSCI were obtained from ongoing statewide TSCI surveillance and follow-up registry. Deaths were ascertained by linking surveillance files and the multiple cause-of-death dataset. Descriptive analyses were completed, and incidence and mortality rates were calculated based on the civilian adult population of the state. RESULTS: Over the 15 years, 3,365 persons with incident TSCI were discharged alive from acute care hospitalization, of whom 555 died during the period of observation. Age-standardized cumulative mortality rate was 14 per million, and the average incidence rate was estimated at 70.8 per million population per year. Age-standardized incidence rate of TSCI increased significantly from 66.9 in 1998 to 111.7 per million in 2012. Standardized incidence rates were significantly higher among non-Whites and males. Motor vehicle crashes and falls were the leading causes, accounting for nearly 70% of TSCI. CONCLUSIONS: Standardized incidence and mortality rates of TSCI in South Carolina are higher than reported rates for the US population. Motor vehicle crashes and falls are the leading causes of TSCI. There was a significant increase in the overall trend of the incidence rates over the 15 years. A well-coordinated preventive strategy is needed to reduce incidence and improve survival of persons with TSCI.

Determining patient needs: A partnership with South Carolina Advocates for Epilepsy (SAFE).

PURPOSE: The purpose of this study was to collaborate with a community partner to administer a current needs assessment of persons with epilepsy (PWE) and determine the types of resources that PWE would like to access through the community partner. METHODS: A self-report needs assessment survey was administered to caregivers and PWE across the state of South Carolina during a community partner educational workshop (n=20) and via secure software distributed through an email link (n=54). KEY FINDINGS: The most frequently reported challenges (>50%) were concerns about finding time to participate in epilepsy community activities, the personal safety of the PWE, finding social connections or social support, finding mental or behavioral health services, and work concerns. However, top ranked concerns centered on personal safety (27.8%), lack of insurance/not enough money to pay for epilepsy treatment (15.3%), and difficulty with daily management of epilepsy (13.9%). Participants reported likely engagement with the epilepsy community partner via in-person meetings, over the phone, and through social media contacts; however, there were differences between PWE and caregivers regarding preferences for communication. Almost 60% endorsed that they would likely participate in a brief program to learn skills to manage their epilepsy daily. SIGNIFICANCE: Persons with epilepsy in South Carolina continue to have many unmet needs and would access resources, if available, from a state-wide epilepsy community partner via various modes of communication.