A state-by-state and regional analysis of the direct medical costs of treating musculoskeletal injuries among US Army trainees.

INTRODUCTION: Low physical activity (PA) and physical fitness (PF) are well-known factors for chronic diseases generally and cardiovascular diseases specifically. The economic burden from these chronic diseases is also well documented, as is their disproportionate prevalence among states in the Southern region of the U.S. Low PA and PF have also become recognized factors impacting military readiness and national security. Specifically, low PA and PF are highly correlated with musculoskeletal injures (MSKIs), now considered the greatest medical impediment to military readiness. Prior research shows low PF and MSKI incidence are greater among Army recruits from Southern states, however no previous research has investigated the economic impact of MSKIs at the state- and regional-level. The aim of this study was to determine the economic impact of MSKIs among U.S. Army initial military trainees on a state- and regional-basis. METHODS: Rosters for recruits entering U.S. Army Initial Military Training (IMT) for fiscal year 2017 were obtained (n = 103,487). Roster data included the unique personal identifier, demographics with postal zip code, training start/end dates, and height and weight and were subsequently linked to medical encounters and cost data from the Military Health System Data Repository. Trainees with one or more MSKIs were considered injury cases (n = 33,509) and were stratified by gender. The percent of trainee MSKI cases was calculated as number of injury cases divided by total number of trainees. For each injury case, the direct medical cost for MSKIs was calculated. The percent of trainees and direct medical costs for MSKIs were aggregated to home-state and regional-levels for the four U.S. Census tract regions. A test for equality of proportions was performed at state- and regional-levels to investigate differences in percent of trainees with MSKIs by state/region. A one-way ANOVA was used to investigate possible differences in medical cost/trainee by region. RESULTS: 34% (n = 33,509) of all trainees sustained at least one MSKI. State-specific MSKI percentages showed ten states having the greatest percentage of trainees with at least one MSKI, eight of which were from the South region (AL, FL, GA, LA, MS, NC, SC, TN). The South was the only region to have a statistically significantly higher percentage of trainees with MSKIs at 34% (p < 0.001), as compared to all other regions. The total direct medical cost of treating MSKIs among all trainees was $14,891,563. The South was the costliest region ($7,168,997), accounted for nearly 50 % of the total national cost, and had the highest mean MSKI cost/trainee. DISCUSSION: This study was the first in demonstrating the disproportionate economic burden Southern states pose to the U.S. Department of Defense resulting from its significantly higher MSKI cost. PA and PF are known to ameliorate chronic disease and MSKI burden among general and military populations. Therefore, increasing PA and PF among all young Americans, and specifically those living in Southern states, is imperative for improving public health and reducing the economic and practical burden of MSKIs on military readiness and national security.

A comparison of joint dichotomization and single dichotomization of interacting variables to discriminate a disease outcome.

Dichotomization is often used on clinical and diagnostic settings to simplify interpretation. For example, a person with systolic and diastolic blood pressure above 140 over 90 may be prescribed medication. Blood pressure as well as other factors such as age and cholesterol and their interactions may lead to increased risk of certain diseases. When using a dichotomized variable to determine a diagnosis, if the interactions with other variables are not considered, then an incorrect threshold for the continuous variable may be selected. In this paper, we compare single dichotomization with joint dichotomization; the process of simultaneously optimizing cutpoints for multiple variables. A simulation study shows that simultaneous dichotomization of continuous variables is more accurate in recovering both 'true' thresholds given they exist.

An evaluation of common methods for dichotomization of continuous variables to discriminate disease status.

Dichotomization of continuous variables to discriminate a dichotomous outcome is often useful in statistical applications. If a true threshold for a continuous variable exists, the challenge is identifying it. This paper examines common methods for dichotomization to identify which ones recover a true threshold. We provide mathematical and numeric proofs demonstrating that maximizing the odds ratio, Youden's statistic, Gini Index, chi-square statistic, relative risk and kappa statistic all theoretically recover a true threshold. A simulation study evaluating the ability of these statistics to recover a threshold when sampling from a population indicates that maximizing the chi-square statistic and Gini Index have the smallest bias and variability when the probability of being larger than the threshold is small while maximizing Kappa or Youden's statistics is best when this probability is larger. Maximizing odds ratio is the most variable and biased of the methods.

Analysis of the National Cancer Data Base to Describe Treatment Trends in Stage IV Oral Cavity and Pharyngeal Cancers in the United States, 1998-2012.

Treatment recommendations for head and neck cancers have evolved over the last several decades, with a particularly clear shift in 2004 toward use of chemotherapy in late-stage patients. This study examines the national trends in treatment combinations for patients with stage IV oral cavity and pharyngeal cancer between 1998 and 2012 using the National Cancer Data Base (NCDB). Our analysis demonstrates that chemotherapy was widely integrated into the treatment plans for this population following 2004, confirming that recommendations were successfully translated into practice. Stage IV patients treated after this shift in treatment experienced higher 5-year survival rates compared to patients treated prior to the adoption of increased chemotherapy usage. We also examined the patient population for other changes over time and found that smaller primary tumors became more common and that 2 primary sites (base of tongue and tonsil) came to represent a larger percentage of the patient population; these changes may also contribute to a rising survival rate. Patients receiving the recommended trimodal therapy of surgery, radiation, and chemotherapy were found to be more geographically widespread over time, suggesting a penetrance of the recommendations into the medical system across the country.

Test--retest reliability of Oral Health Impact Profile (OHIP-49) in adults with systemic sclerosis.

PURPOSE: To assess the test-retest reliability of the Oral Health Impact Profile (OHIP) in 3-month intervals among people with systemic sclerosis (SSc). METHODS: Thirty-nine adults with SSc completed the OHIP-49 at baseline, 3 and 6 months. Intraclass correlation (ICC), standard error of measurement (SEM), SEM%, coefficient of repeatability (CoR), and 95% limits of agreement (LoA) were used to assess test-retest reliability and measurement variability. RESULTS: The ICC of the OHIP for the first time point (baseline to 3-month) was excellent (>.80), and the second time point (3-month to 6-month) demonstrated good reproducibility (>.60). However, the large SEM, SEM%, CoR, and 95% LoA indicated that the OHIP was neither a precise measurement nor sensitive to change in response to interventions. CONCLUSION: The values of the ICC indicated that the OHIP scores demonstrated acceptable stability across each of the two 3 months' retest duration, supporting the reliability of the OHIP for group-level comparisons. However, using the OHIP as a measure of an individual's oral health-related quality of life in adults with SSc is not recommended.