The DOI matches its Crossref record.
Point of Health Care Entry for Youth With Concussion Within a Large Pediatric Care Network
Open accessAbstract
IMPORTANCE: Previous epidemiologic research on concussions has primarily been limited to patient populations presenting to sport concussion clinics or to emergency departments (EDs) and to those high school age or older. By examining concussion visits across an entire pediatric health care network, a better estimate of the scope of the problem can be obtained. OBJECTIVE: To comprehensively describe point of entry for children with concussion, overall and by relevant factors including age, sex, race/ethnicity, and payor, to quantify where children initially seek care for this injury. DESIGN, SETTING, AND PARTICIPANTS: In this descriptive epidemiologic study, data were collected from primary care, specialty care, ED, urgent care, and inpatient settings. The initial concussion-related visit was selected and variation in the initial health care location (primary care, specialty care, ED, or hospital) was examined in relation to relevant variables. All patients aged 0 to 17 years who received their primary care from The Children's Hospital of Philadelphia's (CHOP) network and had 1 or more in-person clinical visits for concussion in the CHOP unified electronic health record (EHR) system (July 1, 2010, to June 30, 2014) were selected. MAIN OUTCOMES AND MEASURES: Frequency of initial concussion visits at each type of health care location. Concussion visits in the EHR were defined based on International Classification of Diseases, Ninth Revision, Clinical Modification diagnosis codes indicative of concussion. RESULTS: A total of 8083 patients were included (median age, 13 years; interquartile range, 10-15 years). Overall, 81.9% (95% CI, 81.1%-82.8%; n = 6624) had their first visit at CHOP within primary care, 5.2% (95% CI, 4.7%-5.7%; n = 418) within specialty care, and 11.7% (95% CI, 11.0%-12.4%; n = 947) within the ED. Health care entry varied by age: 52% (191/368) of children aged 0 to 4 years entered CHOP via the ED, whereas more than three-quarters of those aged 5 to 17 years entered via primary care (5-11 years: 1995/2492; 12-14 years: 2415/2820; and 15-17 years: 2056/2403). Insurance status also influenced the pattern of health care use, with more Medicaid patients using the ED for concussion care (478/1290 Medicaid patients [37%] used the ED vs 435/6652 private patients [7%] and 34/141 self-pay patients [24%]). CONCLUSIONS AND RELEVANCE: The findings suggest estimates of concussion incidence based solely on ED visits underestimate the burden of injury, highlight the importance of the primary care setting in concussion care management, and demonstrate the potential for EHR systems to advance research in this area.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Traumatic brain injury: integrated approaches to improve prevention, clinical care, and research
Maas, A. I. R., Menon, D. K., Adelson, P. D., Andelic, N., Bell, M. J., Belli, A., Bragge, P., Brazinova, A., Büki, A., Chesnut, R. M., et al. (2017) · The Lancet Neurology · doi:10.1016/s1474-4422(17)30371-x · Cited by 2,609
A Multidimensional Approach to Post-concussion Symptoms in Mild Traumatic Brain Injury
Polinder, S., Cnossen, M. C., Real, R. G. L., Covic, A., Gorbunova, A., Voormolen, D. C., Master, C. L., Haagsma, J. A., Diaz-Arrastia, R., & von Steinbuechel, N. (2018) · Frontiers in Neurology · doi:10.3389/fneur.2018.01113 · Cited by 376
Self-citationManagement of Concussion and Mild Traumatic Brain Injury: A Synthesis of Practice Guidelines
Silverberg, N. D., Iaccarino, M. A., Panenka, W. J., Iverson, G. L., McCulloch, K. L., Dams-O’Connor, K., Reed, N., McCrea, M., Cogan, A. M., Park Graf, M. J., et al. (2020) · Archives of Physical Medicine and Rehabilitation · doi:10.1016/j.apmr.2019.10.179 · Cited by 366
Sport-Related Concussion in Children and Adolescents
Halstead, M. E., Walter, K. D., Moffatt, K., COUNCIL ON SPORTS MEDICINE AND FITNESS, LaBella, C. R., Brooks, M. A., Canty, G., Diamond, A. B., Hennrikus, W., Logan, K., et al. (2018) · Pediatrics · doi:10.1542/peds.2018-3074 · Cited by 247
Metadata
- Authors
- Arbogast, K. B., Curry, A. E., Pfeiffer, M. R., Zonfrillo, M. R., Haarbauer-Krupa, J., Breiding, M. J., Coronado, V. G., & Master, C. L.
- Venue
- JAMA Pediatrics
- Publisher
- American Medical Association (AMA)
- Published
- 2016-07-05
- Volume
- 170
- Issue
- 7
- Pages
- e160294
- ISSN
- 1072-4710 (ISSN-L)
- 2168-6203
- OpenAlex
- W2417796375
- Cited by
- 283
- References
- 0
- FWCI
- 29.71
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.