| Literature DB >> 32214697 |
John K Yue1,2, Pavan S Upadhyayula3,4, Lauro N Avalos1, Ryan R L Phelps1,2, Catherine G Suen1,5, Tene A Cage6.
Abstract
Background Mild-traumatic brain injury (mTBI) and concussions cause significant morbidity. To date, synthesis of specific health care disparities and gaps in care for rural mTBI/concussion patients remains needed. Methods A comprehensive literature search was performed using PubMed database for English articles with keywords "rural" and ("concussion" or "mild traumatic brain injury") from 1991 to 2019. Eighteen articles focusing on rural epidemiology ( n = 5), management/cost ( n = 5), military ( n = 2), and concussion prevention/return to play ( n = 6) were included. Results mTBI/concussion incidence was higher in rural compared with urban areas. Compared with urban patients, rural patients were at increased risk for vehicular injuries, lifetime number of concussions, admissions for observation without neuroimaging, and injury-related costs. Rural patients were less likely to utilize ambulatory and mental health services following mTBI/concussion. Rural secondary schools had decreased access to certified personnel for concussion evaluation, and decreased use of standardized assessment instruments/neurocognitive testing. While school coaches were aware of return-to-play laws, mTBI/concussion education rates for athletes and parents were suboptimal in both settings. Rural veterans were at increased risk for postconcussive symptoms and posttraumatic stress. Telemedicine in rural/low-resource areas is an emerging tool for rapid evaluation, triage, and follow-up. Conclusions Rural patients are at unique risk for mTBI/concussions and health care costs. Barriers to care include lower socioeconomic status, longer distances to regional medical center, and decreased availability of neuroimaging and consultants. Due to socioeconomic and distance barriers, rural schools are less able to recruit personnel certified for concussion evaluation. Telemedicine is an emerging tool for remote triage and evaluation.Entities:
Keywords: concussion; epidemiology; health disparity; mild-traumatic brain injury; prevention; return to play; rural
Year: 2020 PMID: 32214697 PMCID: PMC7092729 DOI: 10.1055/s-0039-3402581
Source DB: PubMed Journal: J Neurosci Rural Pract ISSN: 0976-3155
Fig. 1Flow diagram of included articles.
Summary of included studies
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| Abbreviations: AT, athletic trainer; CI, confidence interval; CR, cost ratio; CT, computed tomography; ED, emergency department; IQR, interquartile range; GAD, generalized anxiety disorder; HIT, Headache Impact Test; HRQOL, health-related quality of life; ICH, intracerebral hemorrhage; LOC, loss of consciousness LOS, length of stay; mTBI, mild-traumatic brain injury; N/A, not available; NCT, neurocognitive testing; PTSD, posttraumatic stress disorder; RTL, return to learn; RTP, return to play; SCAT2, Standardized Concussion Assessment Tool, Second Edition; SD, standard deviation; SES, socioeconomic status; VA, veterans affairs. | |||||||
| Karwat et al 26 (2009) | Head injuries, retrospective cohort study | 265 head-injured patients | 34% from rural settings | Analysis of head injuries treated at a regional hospital from 1999–2002 with emphasis on demographics and health | Patient demographics associations with area of residence |
In rural areas, ages 35–49 years and ≥65 were the most common presenting populations, while ages 20–34 were most common in urban areas. Rural patients were significantly less educated (
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| Munivenkatappa et al 27 (2013) | Bicycle head injuries, retrospective cohort study | 108 head-injured patients | Mean age, 27.8 years (range: 2–76 years) | Epidemiology of head injuries due to bicycle accidents in India | Area of residence, etiology of injury, socioeconomic status (SES), place of presentation, clinical and imaging findings, and mortality | From rural areas, 68.5%, 91.6% from poor SES, 55.6% MVAs. 62% of rural versus 26% of urban patients initially presented to primary care. 49% had abnormal CT, and 7.4% died due to injuries. No significant differences were found for occupation, mechanism, injury severity, and CT findings between rural and urban groups | |
| Stewart et al 25 (2014) | Concussion, retrospective cohort study | 2,112 pediatric concussion patients | Median age, 13 years (IQR = 6) | Characterization and comparison of pediatric concussion incidence from urban and rural areas presenting to a regional level-I trauma center | Concussion etiology, rates and mechanism stratified by age group and urban versus rural residence |
Rural had more MVC-related concussions (
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| Yang et al 29 (2008) | TBI/concussion, retrospective cohort study | 1,568 TBI (755 from concussion) | Age range 5–18 years | Analysis of patient and hospital characteristics associated with hospitalization for non-fatal sports concussions in urban versus rural hospitals | Demographics, insurance status, LOS, number of hospitalizations, number of LOC events, procedures received | Among all patients, 52.3% with concussion had LOC, 80% received no in-hospital procedures, mean LOS 1.1 days, 4.9% of hospitalized patients were uninsured. Teaching hospitals (versus non-teaching) had greater odds of admitting sports-related concussions (OR = 1.91; 95% CI 1.44 - 2.53). Rural hospitals with greater odds of admitting sports-related concussions (OR = 1.75; 95% CI 1.11 - 2.77) | |
| Zhao et al 28 (2001) | TBI, descriptive epidemiology study | 63,195 surveys | Male/female: 63.4/37.6% | Neurologist and neurosurgeon-led, population-based door-to-door survey on TBI in 6 major cities and 21 rural/minority areas in People’s Republic of China | History of TBI with coma or retrograde amnesia, residual deficits or abnormal imaging | Overall incidence of TBI was 55.4/100,000 (64.1/100,000) in rural/minority areas. The majority were males (71.3%) in rural areas. Mortality rate lower in urban versus rural areas (6.3/100,000 versus 9.7/100,000) In all areas, concussion was the most common injury (68.4%) | |
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| Brown et al 31 (2018) | mTBI, retrospective cohort study | 540 mTBI patients | All ≥16 years old; 73.6% <55 years | 12-month retrospective assessment adherence to clinical practice guidelines (CPGs) at a rural/regional hospital | Adherence to CPG was measured by ED mTBI/concussion evaluation criteria (4hrs observation, criteria met for CT, referrals given, education provided) |
Men aged 16–24 had a higher proportion of mTBI (
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| Graves et al 34 (2018) | mTBI, retrospective cohort study | 387,846 pediatric TBI patients | Urban: mean age 8.7 years, rural: 10.0 years | 180-day analyses of healthcare utilization and cost in urban and rural pediatric patients after mTBI | Residing location, healthcare utilization, and healthcare costs | Rural patients comprised a minority of all patients (13%). Rural less likely to have speech therapy, mental health, and other outpatient services. Overall healthcare costs were 11% higher in rural compared with urban children (adjusted CR: 1.11, 95% CI: 1.06–1.16) | |
| Levy et al 32 (2013) | mTBI with small ICH, retrospective cohort study | 76 with mTBI and small ICH, without coagulopathy | 71% <55 years | 6-year assessment of a non-transfer protocol to a Level I Trauma Center from a rural Level III Trauma Center without neurosurgical service | LOS and neurosurgical intervention rate | All patient CTs were assess by Level I trauma center neurosurgeon before deciding nonstransfer. Median LOS was 1 day. None of the patients required postadmission transfer or neurosurgical intervention | |
| Schootman and Fuortes 33 (2000) | mTBI, descriptive epidemiology study | 1.4 million visits for TBI | N/A | Retrospective database analysis of patients presenting with TBI to U.S. physician offices, outpatient centers, and EDs from 1995–1997 | Annual TBI incidence, differences between urban and rural areas | Annual rate of mTBI related medical visits was 5.7/1,000 in rural versus 4.1/1,000 in urban populations. More rural patients were transferred to outside facilities as compared with urban patients (8.5 vs. 2.7%) | |
| Vargas et al 36 (2012) | mTBI, case report | 1 patient after mTBI with LOC | 15-year old male | Telemedicine consult to evaluate postconcussive symptoms 19-days after mTBI. Patient from rural area serviced by a hospital without neurological service | Neurological exam and NCT using SCAT2, HIT-6, GAD 7-item, and PHQ-9 | Prior to telemedicine consultation, patient was assessed as able to return to normal sports play. Upon teleconcussion consultation, patient was determined to be symptomatic with moderate balance impairments and referred for formal face-to-face evaluation with neurology provider | |
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| Tsai et al 37 (2012) | Concussion, retrospective cohort study | 233 veterans | Mean age 35.9 years (SD = 9.9) | Survey of combat-related concussion and PTSD sequelae from VA system in in rural and urban settings in Hawaii | Concussion, postconcussive symptoms, and PTSD screening; and HRQOL |
Patients with positive screens for concussion and postconcussive symptoms were more likely to have PTSD (
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| Chrisman et al 45 (2014) | mTBI, descriptive epidemiology study | 270 coaches, athletes, and parents | 72.1% <51 years | Survey of education level 3-years after implementation of concussion legislation in high school sports programs in Washington state (United States). Knowledge levels of coaches, parents and athletes residing in urban or rural areas were compared | Mixed methods survey (online and paper) and interviews of coaches regarding concussion education and evaluation modalities |
Among coaches, 74.4% were required concussion education prior to receiving coaching privileges, although 16.9% were allowed to coach regardless of education status. 93.9% of coaches were mandated to complete training annually. 91% of coaches received education by ≥2 modalities (paper, video, presentation, test, inperson). Coaches reported that 89.3 and 82.9% of athletes and parents were educated on concussion. Urban coaches were more likely to have athletic trainers (ATs;
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| Kroshus et al 42 (2017) | Concussion, cross-sectional study | 270 teams, 144 schools | N/A | Survey of diagnosed concussions at high schools with or without ATs on staff. Schools further stratified by number of students enrolled in subsidized school lunch programs | Number of concussions in previous season, school location (urban versus rural), employment of AT, % of students eligible for subsidized school lunch |
Among athletes, 74.6% suffered concussions, 34.7% of schools were in rural locations, 70.8% of schools employed ATs, and 42.8% of students qualified for subsidized school lunches. ATs were significantly more likely to be employed in urban regions (
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| Lyons et al 47 (2017) | Concussion, descriptive epidemiology study | 151 respondents | Mixed members of a school community: administrators, teachers, school nurses | Stakeholders in rural and urban schools were surveyed to understand disparities in lack of Return to Learn (RTL) Guidelines following concussion in children | Survey responses on unmet need domains and identification of recommendations | Unmet needs surrounding concussion treatment and RTL Guidelines included: lack of school policies, barriers to providing or receiving accommodations, wide variability in communication patterns, and need to develop a formal school RTL policy for improved training and adoption | |
| McGrath et al 43 (2018) | Concussion, focus group | Focus group of five stakeholders in Nebraska state (United States) | (Four certified ATs: one at high school, one at university, one sports medicine director, one outpatient clinic director; and one medical software engineer) | Design of a mobile medical application that connects high school athletes and coaches with ATs for concussion assessment | Local maps of Nebraska were assessed for concentration of ATs employed at high schools | Rural areas were in greatest need of ATs and would be the target audience for medical app. The focus group defined a mobile application that valued enhancing quality of care, efficiency, and extending scope of care as most significant. Application will implement the Sport Concussion Assessment Tool 3 (SCAT3), provide information and real-time feedback to ATs remotely for evaluation | |
| Murphy et al 44 (2012) | mTBI, cross-sectional study | 48 with mTBI | N/A | Evaluated the practices of football coaches and ATs on concussion management of high school athletes in urban versus rural school districts | Differences in management practices between rural versus urban school districts and between coaches and ATs in use of SCAT2 and NCT |
Among respondents, 56% used SCAT2 for on-field assessment; urban respondents significantly more likely to use SCAT2 (68 vs. 35%,
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| Rivara et al 45 (2014) | Concussion, prospective cohort study | 778 dyads of student athletes and parents | Age 14–19 years | Survey of sports concussions in high school athletes and percentage of athletes playing with concussive symptoms during Fall 2012 sports season. Evaluated effect of coach education and likelihood of an athlete playing with concussive symptoms | Rate of concussion per 1,000 athletes, % of students playing with concussion symptoms, % of concussed athletes stating coach was aware of concussion | Concussion incidence 3.6/1,000 athletes, 69% of concussed athletes played with symptoms, and 40% reported that the coach was not aware. Coaches trained by video and quiz were 50% and 40% less likely to be aware of concussions. Rate of concussion for football players was 6.3 times higher during games versus practices. Rate of concussion for soccer in girls was 12.4 times higher during games versus practices | |