Cross-sectional Analysis of Health Behavior Tracking, Perceived Health, Fitness, and Health Literacy Among Active-Duty Air Force Personnel.

There is a paucity of evidence connecting health literacy, perceived wellness, self-reported fitness activity, or military readiness to wearable devices. Moreover, we do not currently know the prevalence and impact of health tracker device use in the active-duty Air Force population. This prospective cross-sectional survey assessed self-reported fitness activity, health-related quality of life, health literacy, and health behavior tracking practices and preferences among active-duty Air Force service members. Four hundred twenty-eight respondents completed an online survey, with 247 selecting tracking a health behavior and 181 selecting that they did not track a health behavior. Demographic characteristics of the sample showed no significant differences in age, sex distribution, or mode of service. We found that there were no significant differences in self-reported aerobic and strength training frequency, health literacy, or health-related quality of life. More than half of nontracking respondents either had not considered or had no interest in tracking health behaviors. Nearly three-quarters of tracking respondents tracked more than one health behavior. Further research could explore the extent to which these technologies improve fitness, health outcomes, and overall readiness in the military, involving longitudinal studies tracking fitness improvements and health outcomes among service members using wearable devices.

A Case-Control Analysis of Bone Stress Injury on Advancement and Health Care Utilization in US Air Force Basic Military Trainees.

INTRODUCTION: Every year, approximately 35,000 recruits enter the United States Air Force Basic Military Training (BMT). Musculoskeletal problems are particularly vexing for BMT because a broad array of differentials render definitive diagnosis burdensome and while most sufferers will fully recover, healing often requires protracted training delays resulting in increased unrecoverable training costs to the program. The purpose of this study is to conduct a case-control study of basic military trainees entering service from 2012 to 2015 to assess detectable differences in demographics, retention, and health care utilization. MATERIALS AND METHODS: This is a retrospective case-control study of existing data and records obtained from existing and active information record systems for individuals who attended BMT between the years 2012 and 2015. Cohort assignment was based on incidence of first stress fracture diagnosis (i.e., having a select diagnosis code in one's medical record) relative to arrival at BMT. Health care utilization is operationalized as medical encounter frequencies and associated international classification of disease (ICD) codes occurring for all patients from BMT recruit date of arrival to 6 months post-graduation (i.e., 180 days). RESULTS: The primary dataset includes 132,359 distinct individuals, of which 129,637 (98%) had no history of stress fracture diagnosis and 1,487 (1%) of which have a diagnosis of stress fracture more than 60 days after arrival at BMT; these are assigned to the CONTROL group. There are 1,235 (0.9%) assigned to the CASE group. CASE members presented with 30.1 unique ICD-10 codes post-graduation compared to 6.3 in the CONTROL group. Six of the top thirteen ICD-10 codes were musculoskeletal in nature and all presented significantly higher rates for the CASE group. CONCLUSIONS: Trainees who suffered a bone stress injury (BSI) during the United States Air Force BMT advanced in rank on par with trainees who did not, but BSI sufferers exhibited greater health care utilization than those who did not suffer BSI. The cost to replace a trainee unable to complete BMT is considerable; however, it is also important to consider the reduction in resiliency and readiness to the Department of Defense and the financial burdens from increased health care utilization. The 2-fold increase in BSI presentation in the graduated control group reflects that more needs to be done for all populations to identify better proactive efforts to foundationally support wellness and prevention rather than accept injury as the status quo.

Baseline eHealth Behaviors of Service Members: A Retrospective, Cross-Sectional Analysis of Patient Portal Use Before the Pandemic.

INTRODUCTION: The use of electronic health (eHealth) tools has the potential to support the overall health, wellness, fitness status, and ability to deploy worldwide of active duty service members (SMs). Additionally, the Coronavirus Disease 2019 pandemic forced healthcare organizations to quickly convert to virtual care settings to decrease face-to-face interactions and increase access to healthcare using technology. The shift to virtual care and the push to increase use of eHealth tools heightened the need to understand how military members interact with eHealth tools. Little is known about the factors that influence SMs use of eHealth tools and if having a health condition increases or decreases use. To evaluate these factors, we completed a cross-sectional, retrospective analysis on a sample of 198,388 active duty SMs aged 18 to 68 years. MATERIALS AND METHODS: We used two Military Health System (MHS) data sources-Tricare Online (TOL) Patient Portal 2018 audit logs and outpatient electronic health record data. Using eHealth behaviors identified in the audit logs, we evaluated and compared individual characteristics (i.e., "gender", "age", "race", and "marital status"), environmental factors (i.e., "rank", "military branch", and "geographic location"), and six available health conditions (i.e., congenital health defects, amputation, anxiety, sleep, traumatic brain injury, and depression). Since moderate usage of eHealth tools is linked to improved health outcomes, adherence, communication, and increased consumer satisfaction, a logistic regression model was developed to find the factors most associated with moderate (3-11 logins per year) use of the portal. RESULTS: Electronic health use increased by SMs with underlying health conditions or if they were managing family member health. Most SMs who used the TOL Patient Portal were of ages 25-34 years, White, and married. The mean age is 32.53 for males and 29.98 for females. Over half of the TOL Patient Portal SM users utilized the portal one to two times. Most SMs used the TOL Patient Portal in Virginia, Texas, California, Florida, North Carolina, Georgia, and Maryland. The highest use was during the months of March to May. Frequent patient portal actions include searching for appointments, viewing health information, viewing medical encounters, and refilling medications. Although SMs with congenital health defects, anxiety, sleep issues, and depression have higher patient portal use rates, SMs with depression have a negative association with using the patient portal at a "moderate" rate. Viewing family member health information and searching for appointments were strongly associated with patient portal moderate use. CONCLUSIONS: Our findings support top military initiatives to improve the overall health, wellness, and readiness of SMs while decreasing the MHS's overall cost of care while providing a foundation to compare "pre" and "post" pandemic eHealth behaviors. It is essential to note that SMs are more likely to use a patient portal to seek information or manage family member health. This key factor identifies the significance of family health promotion and readiness in the active duty SM's life. The long-term goal of our study is to build the foundation for delivering tailored health information and eHealth tools to promote health and readiness-centric patient engagement.