Army Physician Career Satisfaction Based on a Medical Corps Survey.

INTRODUCTION: It is critical the U.S. Army retains skilled physicians in the Medical Corps (MC) to ensure direct support to military operations and medical readiness. The purpose of this study was to examine U.S. Army physicians' opinions concerning: readiness to perform required duties, work environment, support and recognition they receive, military career intentions, and how these factors may relate to Army physician job satisfaction. MATERIALS AND METHODS: A cross-sectional study of Army physicians was conducted using a 45-item web-based survey tool, "Army Medicine Medical Corps (MC) Engagement/Satisfaction Survey 2018." The survey used a combination of multiple choice (Likert-scaled and categorical) and open text statements and questions. Satisfaction with their Army physician career was measured using a 5-point unipolar Likert scale response on level of satisfaction. Chi-square tests of independence were conducted on all demographic characteristics to examine if levels of satisfaction with Army physician career were associated with a particular demographic profile. Agreement opinions expressed on 20 statements about professional readiness, work environment, and job recognition were summarized and rank-ordered by percentage of "strongly agree" responses. Categorical responses to several questions related to career intentions were summarized overall and by career satisfaction level. Multivariate logistic regression was performed to identify demographic factors, which may influence career satisfaction as an Army physician. RESULTS: Approximately 47% (2,050/4,334) of U.S. Army physicians participated in the MC 2018 survey. Career satisfaction percentages overall were: "extremely satisfied" (10.0%), "quite satisfied" (24.8%), "moderately satisfied" (33.9%), "slightly satisfied" (22.6%), and "not at all satisfied" (8.3%). Respondents were in least agreement to statements about sufficient administrative support and recognition of doing good work. Logistic regression results showed military rank as a significant predictor of negative career satisfaction as an Army physician. For Captains, the odds for being "not at all satisfied" with their military career were almost nine times that of Colonels. Also, compared to their baseline group, physicians who completed their graduate medical education training, mission critical surgeons, and physicians who worked in military treatment facilities that were either a hospital (not a medical center) or a clinic-ambulatory surgery center had a greater risk of being "not at all satisfied" with their career as an Army physician. CONCLUSIONS: There is significant room for improvement in MC officer career satisfaction. The drivers of satisfaction are multiple and apply differently among MC officers of varied ranks and experience. Senior officers are the ones who are the most satisfied with their military career. Results of this novel MC officer study may serve as an impetus to identify existing shortcomings and make necessary changes to retain skilled Army physicians. Army leaders should invest resources to develop and sustain initiatives that improve military career satisfaction and retention of MC officers.

Data-driven Casualty Estimation and Disease Nonbattle Injury/Battle Injury Rates in Recent Campaigns.

To ensure Soldiers are properly equipped and mission capable to perform full spectrum operations, Army medical planners use disease nonbattle injury (DNBI) and battle injury (BI) admission rates in the Total Army Analysis process to support medical deployment and force structure planning for deployed settings. For more than a decade, as the proponent for the DNBI/BI methodology and admission rates, the Statistical Analysis Cell (previously Statistical Analysis Branch, Center for Army Medical Department Strategic Studies) has provided Army medical planners with DNBI/BI rates based upon actual data from recent operations. This article presents the data-driven methodology and casualty estimation rates developed by the Statistical Analysis Cell and accredited for use by 2 Army Surgeon Generals, displays the top 5 principal International Classification of Disease, 9th Revision, Clinical Modification (ICD-9-CM) diagnoses for DNBI/BI in Operation Iraqi Freedom/Operation New Dawn (OIF/OND), and discusses trends in DNBI rates in OIF/OND during the stabilization period. Our methodology uses 95th percentile daily admission rates as a planning factor to ensure that 95% of days in theater are supported by adequate staff and medical equipment. We also present our DNBI/BI estimation methodology for non-Army populations treated at Role 3 US Army medical treatment facilities.

Spinal injury hospitalizations among U.S. Army soldiers deployed to Iraq and Afghanistan.

This retrospective study examined spinal-related hospitalizations of U.S. Army soldiers deployed to Afghanistan and Iraq. Spinal cord injuries (SCI) and vertebral column injuries (VCI) were identified using International Classification of Disease, 9th Revision, Clinical Modification diagnosis codes. In our study, spinal hospitalizations represented 8.2% of total injury admissions. Risk factors for SCI and VCI incidences were determined using Poisson regression. Lack of previous deployment experience increased risk of having SCI by 33% and VCI by 24% in Iraq (similar increases, but not statistically significant in Afghanistan). Male soldiers had 4.85 times higher risk for SCI in Iraq and 69% higher risk in Afghanistan than female soldiers. In Afghanistan, almost 60% of spinal episodes included traumatic brain injury (TBI), compared to about 40% in Iraq. In both theaters, mild TBI accounted for more than 50% of all TBI-spinal episodes. Sixteen percent of SCI inpatient episodes in Afghanistan and 13% in Iraq were associated with paralysis, with median bed days of 46 and 33 days compared to a median of 6 days in both theaters for nonparalysis spinal injuries. The mortality rate was 2.5 times lower in Afghanistan than in Iraq.

Traumatic brain injury hospitalizations of U.S. army soldiers deployed to Afghanistan and Iraq.

BACKGROUND: Traumatic brain injury (TBI) is a life-altering condition that has affected many of our soldiers returning from war. In the current conflicts, the improvised explosive device (IED) has greatly increased the potential for soldiers to sustain a TBI. This study's objective was to establish benchmark admission rates for U.S. Army soldiers with TBIs identified during deployment to Iraq and Afghanistan. METHODS: The study population consisted of U.S. Army soldiers deployed to Iraq and Afghanistan from September 11, 2001, through September 30, 2007. Population data were merged with admission data to identify hospitalizations during deployment. Using the international Barell Injury Diagnosis Matrix, TBI-related admissions were categorized into Type 1 (the most severe), Type 2, and Type 3 (the least severe). All analyses were performed in 2008. RESULTS: Of the 2898 identified TBI inpatient episodes of care, 46% were Type 1, 54% were Type 2, and less than 1% were Type 3. Over 65% of Type 1 injuries resulted from explosions, while almost half of all TBIs were non-battle-related. Overall TBI admission rates were 24.6 for Afghanistan and 41.8 for Iraq per 10,000 soldier-years. TBI hospitalization rates rose over time for both campaigns, although U.S. Army soldiers in Iraq experienced 1.7 times higher rates overall and 2.2 times higher Type 1 admission rates than soldiers in Afghanistan. The TBI-related proportion of all injury hospitalizations showed an ascending trend. CONCLUSIONS: Future surveillance of TBI hospitalization rates is needed to evaluate the effectiveness of implementation of preventive measures.

The challenge of mapping between two medical coding systems.

OBJECTIVE: Deployable medical systems patient conditions (PCs) designate groups of patients with similar medical conditions and, therefore, similar treatment requirements. PCs are used by the U.S. military to estimate field medical resources needed in combat operations. Information associated with each of the 389 PCs is based on subject matter expert opinion, instead of direct derivation from standard medical codes. Currently, no mechanisms exist to tie current or historical medical data to PCs. Our study objective was to determine whether reliable conversion between PC codes and International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM) diagnosis codes is possible. METHODS: Data were analyzed for three professional coders assigning all applicable ICD-9-CM diagnosis codes to each PC code. Inter-rater reliability was measured by using Cohen's K statistic and percent agreement. Methods were developed to calculate kappa statistics when multiple responses could be selected from many possible categories. RESULTS: Overall, we found moderate support for the possibility of reliable conversion between PCs and ICD-9-CM diagnoses (mean kappa = 0.61). CONCLUSION: Current PCs should be modified into a system that is verifiable with real data.

Status of trauma care in U.S. Army hospitals.

OBJECTIVE: This study documents the recent trends and current state of inpatient trauma care in U.S. Army hospitals. METHODS: Inpatient trauma cases from Army hospitals worldwide from October 1988 through April 2001 were analyzed. Facilities included 3 Certified Trauma Centers (CTCs), 7 non-CTC Army Medical Centers, and 42 Army Community Hospitals. Logistic regression identified mortality risk factors. RESULTS: Overall, the Army treated 166,124 trauma cases, with a mortality rate of 0.8% (trend of 0.66% to 1.18% in fiscal years 1989-2000, p < 0.0001). The number of Army hospitals decreased by 44% and the number of trauma cases decreased by nearly 75%. Injury severity, patient age, hospital trauma volume, beneficiary category, hospital type, and a resource intensity measure were all significantly associated with the probability of death. CONCLUSIONS: The overall trauma mortality rate at Army hospitals during the study period was lower than that reported for civilian trauma centers. However, changes in patient profiles, increased average severity, and decreased trauma volume might have contributed to a 13% increase in mortality rates at CTCs.

A disease and non-battle injury model based on Persian Gulf War admission rates.

BACKGROUND: Military planners must ensure adequate medical care for deployed troops-including care for disease and non-battle injuries (DNBI). This study develops a heuristic model with the three distinct phases of a warfighting operation (build-up, ground combat, post-combat) to assist in predicting DNBI incidence during warfighting deployments. METHODS: Inpatient healthcare records of soldiers deployed to the Persian Gulf War who were admitted with DNBI diagnoses were analyzed. DNBI admission rates for the three phases of the operation were examined and compared to rates for US Army Forces Command (FORSCOM) posts in the US. RESULTS: DNBI admission rates among the phases were distinctly different. The operation's overall rate and 95th percentile daily rate were less than the FORSCOM FY 1990 annual rate. CONCLUSIONS: The level of combat must be considered. The traditional use of average or overall rates should be abandoned when forecasting DNBI rates. Medical support projections should use separate 95th percentile DNBI admission rates for each of the phases.

Effects of screening mammography on the comparative survival rates of African American, white, and Hispanic beneficiaries of a comprehensive health care system.

This study reviewed mammographic screening related to breast carcinoma diagnosis and treatment between 1987 and 1997 at Brooke Army Medical Center, San Antonio, TX. Epidemiologic data from the Department of Defense Automated Central Tumor Registry were merged with data from patients' medical records and responses of the patients or their families to a mailed survey. The cases of 907 women grouped by race-white, African American, and Hispanic-were analyzed. Breast carcinoma diagnosed by mammographic screening showed a reversed ratio of early to late stage of cancer occurring for all three groups. That ratio was 1.45 for African Americans, 2.67 for Hispanics, and 3.08 for whites. For those women diagnosed with screening mammography, no statistically significant difference in 5-year survival was found between the races: 86% for whites, 83% for Hispanics, and 80% for African Americans. Mammographic screening as a diagnostic tool appears to equalize survival among whites, Hispanics, and African Americans, in spite of differences in age, stage of diagnosis, and military rank used as a proxy for socioeconomic status. When not controlling for mammographic diagnosis, Kaplan-Meier analysis revealed significant differences in survival patterns between whites, Hispanics, and African Americans. Five-year survival rates were 71% for whites, 74% for Hispanics, and 53% for African Americans. Screening mammography reduced 5-year mortality by almost 59% in African Americans, 52% in whites, and 36% in Hispanics. Whites were diagnosed with breast carcinoma, on average, at 57 years of age-11 years later than African Americans (average age 46 years) and 7 years later than Hispanic women (average age 50 years). As a diagnostic tool, screening mammography was used to discover breast cancer in 36% of white women, 33% of Hispanics, and 22% of African Americans. Further research is recommended to examine the use of mammography among various racial/ethnic groups.