Differences in Injury Characteristics and Outcomes for American Indian/Alaska Native People Hospitalized with Traumatic Injuries: an Analysis of the National Trauma Data Bank

Access to Trauma Care in a Rural State: A Descriptive Geographic and Demographic Analysis

BACKGROUND

Montana is a rural state with limited access to higher-level trauma care; it also has higher injury fatality rates compared with the rest of the country.

OBJECTIVES

The purpose of this study was to utilize Geographic Information System methodology to assess proximity to trauma care and identify the demographic characteristics of regions without trauma access.

METHODS

Maptitude® Geographic Information System software (Caliper Corporation, Newton, MA) was used to identify regions in Montana within 60 min of trauma care; this included access to a Level II or Level III trauma center with general surgery capabilities and access to any level of trauma care. Demographic characteristics are reported to identify population groups lacking access to trauma care.

RESULTS

Of the 1.1 million residents of Montana, 63% of residents live within 60 driving min of a higher-level trauma center, and 83% of residents live within 60 driving min of any level of trauma center. Elderly residents over age 65 years of age and American Indians had reduced access to both higher-level trauma care and any level trauma care.

CONCLUSIONS

Prompt access to trauma care is significantly lower in Montana than in other parts of the country, with dramatic disparities for American Indians. In a rural state, it is important to ensure that all hospitals are equipped to provide some level of trauma care to reduce these disparities.

A roadmap to reduce information inequities in disability with digital health and natural language processing

People with disabilities disproportionately experience negative health outcomes. Purposeful analysis of information on all aspects of the experience of disability across individuals and populations can guide interventions to reduce health inequities in care and outcomes. Such an analysis requires more holistic information on individual function, precursors and predictors, and environmental and personal factors than is systematically collected in current practice. We identify 3 key information barriers to more equitable information: (1) a lack of information on contextual factors that affect a person's experience of function; (2) underemphasis of the patient's voice, perspective, and goals in the electronic health record; and (3) a lack of standardized locations in the electronic health record to record observations of function and context. Through analysis of rehabilitation data, we have identified ways to mitigate these barriers through the development of digital health technologies to better capture and analyze information about the experience of function. We propose 3 directions for future research on using digital health technologies, particularly natural language processing (NLP), to facilitate capturing a more holistic picture of a patient's unique experience: (1) analyzing existing information on function in free text documentation; (2) developing new NLP-driven methods to collect information on contextual factors; and (3) collecting and analyzing patient-reported descriptions of personal perceptions and goals. Multidisciplinary collaboration between rehabilitation experts and data scientists to advance these research directions will yield practical technologies to help reduce inequities and improve care for all populations.

Caring for American Indian and Alaska Native Children and Adolescents

American Indian and Alaska Native (AI/AN) populations have substantial health inequities, and most of their disease entities begin in childhood. In addition, AI/AN children and adolescents have excessive disease rates compared with the general pediatric population. Because of this, providers of pediatric care are in a unique position not only to attenuate disease incidence during childhood but also to improve the health status of this special population as a whole. This policy statement examines the inequitable disease burden observed in AI/AN youth, with a focus on toxic stress, mental health, and issues related to suicide and substance use disorder, risk of and exposure to injury and violence in childhood, obesity and obesity-related cardiovascular risk factors and disease, foster care, and the intersection of lesbian, gay, bisexual, transgender, queer, and Two-Spirit and AI/AN youth. Opportunities for advocacy in policy making also are presented.

Injury Severity and Depressive Symptoms in a Post-acute Brain Injury Rehabilitation Sample

This study explored the relationship between injury severity and depressive symptoms for treatment-seeking individuals with traumatic brain injury (TBI). The Mayo Classification System was used to classify TBI severity in 72 participants who completed the Patient Health Questionnaire at admission and at dismissal from rehabilitation. Patients with mild TBI reported more depressive symptoms than those with moderate or severe TBI at admission and at dismissal. Although injury severity groups differed by gender composition, gender had no effect on severity of depressive symptoms. All participants reported fewer depressive symptoms at dismissal from rehabilitation, including lower endorsement of dysphoria by discharge. Participants with mild TBI, however, continued to report depressive symptoms of a mild severity at dismissal, with residual problems with anhedonia. These findings underscore the benefit of interdisciplinary post-acute rehabilitation services for persons with TBI of any severity, including those with mild injury.