Tobacco and nicotine use among active component U.S. military service members: a comparison of 2018 estimates from the Health Related Behaviors Survey and the Periodic Health Assessment.

This study compared estimates of the prevalence of and risk factors for tobacco and nicotine use obtained from the 2018 Health Related Behaviors Survey (HRBS) and Periodic Health Assessment (PHA) survey. The HRBS and the PHA are important Department of Defense sources of data on health behavior collected from U.S. military service members. While their collection methods differ, some survey questions are similar, which provides an opportunity to compare survey estimates. Active duty service members consistently reported a much lower prevalence of all types of tobacco and nicotine use on the PHA compared to the HRBS: cigarettes (11.1% vs. 18.4%), e-cigarettes (7.3% vs. 16.2%), chewing tobacco (9.7% vs. 13.4%), any tobacco or nicotine use (25.3% vs. 37.8%), and use of 2 or more tobacco or nicotine products (5.8% vs. 17.4%). Associations between tobacco and nicotine use as well as demographic and other behavioral variables were fairly similar, including age, sex, education, race and ethnicity, rank, and alcohol use. The associations with service branch, body mass index, and sleep were inconsistent. This results of this study suggest that the PHA can provide timely information on trends in military tobacco and nicotine use over time, but much higher estimates from the confidential, voluntary HRBS reported in this study suggest that the command-directed PHA may substantially underestimate the prevalence of all types of tobacco and nicotine use.

Development of a Semiautomated Search Tool to Identify Grading From Pathology Reports for Tumors of the CNS and Prostate Cancers.

PURPOSE: This study demonstrates the functionality of semiautomated algorithms to classify cancer-specific grading from electronic pathology reports generated from military treatment facilities. Two Perl-based algorithms are validated to classify WHO grade for tumors of the CNS and Gleason grades for prostate cancer. METHODS: Case-finding cohorts were developed using diagnostic codes and matched by unique identifiers to obtain pathology records generated in the Military Health System for active duty service members from 2013 to 2018. Perl-based algorithms were applied to classify document-based pathology reports to identify malignant CNS tumors and prostate cancer, followed by a hand-review process to determine accuracy of the algorithm classifications. Inter-rater reliability, sensitivity, specificity, positive predictive values (PPVs), and negative predictive values were computed following abstractor adjudication. RESULTS: The high PPV for the Perl-based algorithms to classify CNS tumors (PPV > 98%) and prostate cancer (PPV > 99%) supports this approach to classify malignancies for cancer surveillance operations, mediated by a hand-reviewed semiautomated process to increase sensitivity by capturing ungraded cancers. Early detection was pronounced where 33.6% and 50.7% of malignant records retained a CNS WHO grade of II or a Gleason score of 6, respectively. Sensitivity metrics met criteria (> 75%) for brain (79.9%, 95% CI, 73.0 to 85.7) and prostate (96.7%, 95% CI, 94.9 to 98.0) cancers. CONCLUSION: Semiautomated, document-based text classification using Perl coding successfully leveraged identification of WHO and Gleason grades to classify pathology records for CNS tumors and prostate cancer. The process is recommended for data quality initiatives to support cancer reporting functions, epidemiology, and research.

Development and Evaluation of Perl-Based Algorithms to Classify Neoplasms From Pathology Records in Synoptic Report Format.

PURPOSE: Synoptic reporting provides a mechanism for uniform and structured pathology diagnostics. This paper demonstrates the functionality of Perl alternation and grouping expressions to classify electronic pathology reports generated from military treatment facilities. Eight Perl-based algorithms are validated to classify malignant melanoma, Hodgkin lymphoma, non-Hodgkin lymphoma, leukemia, and malignant neoplasms of the breast, ovary, testis, and thyroid. METHODS: Case finding cohorts were developed using diagnostic codes for neoplasm groups and matched by unique identifiers to obtain pathology records. Preprocessing techniques and Perl-based algorithms were applied to classify records as malignant, in situ, suspect, or nonapplicable, followed by a hand-review process to determine the accuracy of the algorithm classifications. Interrater reliability, sensitivity, specificity, positive predictive values, and negative predictive values were computed following abstractor adjudication. RESULTS: The specificity of the Perl-based algorithms was consistently high, over 98%. Very few benign results were classified as malignant or in situ by the Perl-based algorithms; the leukemia algorithm classification was the only group to demonstrate a positive predictive value below 95%, at 91.9%. Three algorithm classification groups demonstrated a sensitivity of < 80%, including malignant neoplasm of the ovary (33.3%), leukemia (52.8%), and non-Hodgkin lymphoma (62.9%). The pathology records for these results included substantial linguistic variation. CONCLUSION: This paper contextualizes the utility and value of an algorithm logic built around synoptic reporting to identify neoplasms from electronic pathology results. The major strength includes the application of Perl-based coding in SAS, an accessible software application, to develop highly specific algorithms across institutional variation in diagnostic documentation.

Assessing the Burden of Chlamydia and Gonorrhea for Deployed and Active Duty Personnel Assigned Outside the USA.

Sexually transmitted infections (STIs) have posed a threat to military service members throughout history, but limited evidence describes current sexually transmitted infection burden for personnel in-theater and stationed abroad. This study assessed chlamydia and gonorrhea rates by unit of country assignment and evaluated the demographic profile of affected personnel during deployment. Chlamydia and gonorrhea cases among active duty personnel were identified from laboratory results and ambulatory encounter records in the Military Health System from fiscal years October 2006 through September 2015; these were linked to personnel and deployment records to ascertain demographic characteristics, unit of country assignment, and if the case was captured during a period of deployment. Case rates were higher for chlamydia (1,321.7 per 100,000) than gonorrhea (222.7 per 100,000). Approximately 2% of both chlamydia and gonorrhea cases were identified during deployment, with significant differences by service, sex, and age. Elevated rates were identified in several countries of unit assignment outside the USA, warranting further assessment to better understand implications of screening programs or increased morbidity. Pertinent limitations for this study potentially underestimate STI cases during deployment, due to incomplete capture of records from shipboard and in-theater facilities.

Social Support, Stigma and Disclosure: Examining the Relationship with HIV Medication Adherence among Ryan White Program Clients in the Mid-South USA.

Social support from friends and family is positively related to better health outcomes among adults living with HIV. An extension of these networks such as religious communities may be an untapped source of social support for promoting HIV medical adherence. This paper explores the association of HIV medication adherence to satisfaction with support from family, friends and church members, as well as HIV-related stigma, and HIV disclosure. In partnership with the Shelby County Health Department, the Memphis Ryan White Part A Program, and the University of Memphis School of Public Health, a total of 286 interviewer-administered surveys were conducted with Ryan White clients. Seventy-six percent (n = 216) of participants reported being prescribed antiretroviral medication (ARVs). Nearly all participants (n = 202, 94%) prescribed ARVs reported disclosing their HIV status to someone. Almost 20% (n = 40) of those prescribed ARVs reported not being satisfied with support received from his/her church. Interestingly, participants reported rarely experiencing stigma as a result of their HIV status. The extent to which satisfaction with support from personal networks and institutional settings like the church affect medication adherence is yet to be understood. The complexity of HIV disclosure and HIV stigma in relation to these supports warrants further investigation to understand how best to improve HIV health outcomes.