Influenza poses a significant health threat to children, and schools may play a critical role in community outbreaks. Mathematical outbreak models require assumptions about contact rates and patterns among students, but the level of temporal granularity required to produce reliable results is unclear. We collected objective contact data from students aged 5-14 at an elementary school and middle school in the state of Utah, USA, and paired those data with a novel, data-based model of influenza transmission in schools. Our simulations produced within-school transmission averages consistent with published estimates. We compared simulated outbreaks over the full resolution dynamic network with simulations on networks with averaged representations of contact timing and duration. For both schools, averaging the timing of contacts over one or two school days caused average outbreak sizes to increase by 1-8%. Averaging both contact timing and pairwise contact durations caused average outbreak sizes to increase by 10% at the middle school and 72% at the elementary school. Averaging contact durations separately across within-class and between-class contacts reduced the increase for the elementary school to 5%. Thus, the effect of ignoring details about contact timing and duration in school contact networks on outbreak size modelling can vary across different schools.

The associations between injury severity, posttraumatic stress disorder (PTSD), and development of chronic diseases, such as hypertension, among military service members are not understood. We sought to (1) estimate the prevalence and incidence of PTSD within a severely injured military cohort, (2) assess the association between the presence and chronicity of PTSD and hypertension, and (3) determine whether or not initial injury severity score and PTSD are independent risk factors for hypertension. Administrative and clinical databases were used to conduct a retrospective cohort study of 3846 US military casualties injured in the Iraq and Afghanistan conflicts between February 1, 2002, and February 1, 2011. Development of PTSD and hypertension after combat injury were determined using the codes. Multivariable competing risk regression models were used to assess associations between injury severity score, PTSD, and hypertension, while controlling for covariates. Overall prevalence of PTSD was 42.4%, and prevalence of hypertension was 14.3%. Unadjusted risk of hypertension increased significantly with chronicity of PTSD (1-15 diagnoses: hazard ratio, 1.77; 95% confidence interval, 1.46-2.14;<0.001; >15 diagnoses: hazard ratio, 2.29; 95% confidence interval, 1.85-2.84; <0.001) compared with patients never diagnosed with PTSD. The association between injury severity score (hazard ratio, 1.06 per 5-U increment; 95% confidence interval, 1.03-1.10; <0.001) and hypertension was significant, with little change in effect in the multivariable model (hazard ratio, 1.05 per 5-U increment; 95% confidence interval, 1.01-1.09; =0.03). In a cohort of service members injured in combat, we found that chronicity of PTSD diagnoses and injury severity were independent risk factors for hypertension.

Estimates of contact among children, used for infectious disease transmission models and understanding social patterns, historically rely on self-report logs. Recently, wireless sensor technology has enabled objective measurement of proximal contact and comparison of data from the two methods. These are mostly small-scale studies, and knowledge gaps remain in understanding contact and mixing patterns and also in the advantages and disadvantages of data collection methods. We collected contact data from a middle school, with 7th and 8th grades, for one day using self-report contact logs and wireless sensors. The data were linked for students with unique initials, gender, and grade within the school. This paper presents the results of a comparison of two approaches to characterize school contact networks, wireless proximity sensors and self-report logs. Accounting for incomplete capture and lack of participation, we estimate that “sensor-detectable”, proximal contacts longer than 20 seconds during lunch and class-time occurred at 2 fold higher frequency than “self-reportable” talk/touch contacts. Overall, 55% of estimated talk-touch contacts were also sensor-detectable whereas only 15% of estimated sensor-detectable contacts were also talk-touch. Contacts detected by sensors and also in self-report logs had longer mean duration than contacts detected only by sensors (6.3 vs 2.4 minutes). During both lunch and class-time, sensor-detectable contacts demonstrated substantially less gender and grade assortativity than talk-touch contacts. Hallway contacts, which were ascertainable only by proximity sensors, were characterized by extremely high degree and short duration. We conclude that the use of wireless sensors and self-report logs provide complementary insight on in-school mixing patterns and contact frequency.

Objective To assess differences in risk (measured by expected costs associated with sociodemographic and clinical profiles) between Veterans receiving outpatient services through two community care (CC) programs: the Fee program (“Fee”) and the Veterans Choice Program (“Choice”). Data Sources/Study Setting Administrative data from VHA's Corporate Data Warehouse in fiscal years (FY) 2014–2015. Study Design We compared the clinical characteristics of Veterans across three groups (Fee only, Choice only, and Fee & Choice). We classified Veterans into risk groups based on Nosos risk scores and examined the relationship between type of outpatient utilization and risk within each CC group. We also examined changes in utilization of VHA and CC in FY14–FY15. We used chi‐square tests, t tests, and ANOVAs to identify significant differences between CC groups. Principal Findings Of the 1,400,977 Veterans using CC in FY15, 91.4 percent were Fee‐only users, 4.4 percent Choice‐only users, and 4.2 percent Fee & Choice users. Mean concurrent risk scores were higher for Fee only and Fee & Choice (1.9, SD = 2.7; 1.8, SD = 2.2) compared to Choice‐only users (1.0, SD = 1.2) (p < .0001). Most CC users were “dual users” of both VHA and CC in FY14–FY15. Conclusions As care transitions from VHA to CC, VHA should consider how best to coordinate care with community providers to reduce duplication of efforts, improve handoffs, and achieve the best outcomes for Veterans.

Background: In 2012, select Veterans Health Administration (VHA) facilities implemented a homeless-tailored medical home model, called Homeless Patient Aligned Care Teams (H-PACT), to improve care processes and outcomes for homeless Veterans. Objective: The main aim of this study was to determine whether H-PACT offers a better patient experience than standard VHA primary care. Research Design: We used multivariable logistic regressions to estimate differences in the probability of reporting positive primary care experiences on a national survey. Subjects: Homeless-experienced survey respondents enrolled in H-PACT (n=251) or standard primary care in facilities with H-PACT available (n=1527) and facilities without H-PACT (n=10,079). Measures: Patient experiences in 8 domains from the Consumer Assessment of Healthcare Provider and Systems surveys. Domain scores were categorized as positive versus nonpositive. Results: H-PACT patients were less likely than standard primary care patients to be female, have 4-year college degrees, or to have served in recent military conflicts; they received more primary care visits and social services. H-PACT patients were more likely than standard primary care patients in the same facilities to report positive experiences with access [adjusted risk difference (RD)=17.4], communication (RD=13.9), office staff (RD=13.1), provider ratings (RD=11.0), and comprehensiveness (RD=9.3). Standard primary care patients in facilities with H-PACT available were more likely than those from facilities without H-PACT to report positive experiences with communication (RD=4.7) and self-management support (RD=4.6). Conclusions: Patient-centered medical homes designed to address the social determinants of health offer a better care experience for homeless patients, when compared with standard primary care approaches. The lessons learned from H-PACT can be applied throughout VHA and to other health care settings.

Background U.S. women Veterans are at increased risk of homelessness and chronic health conditions associated with unintended pregnancy. Veterans Health Administration (VHA) provision of long acting reversible contraceptives (LARC) can assist in healthy pregnancy planning. Objectives To evaluate perinatal risk factors and LARC exposure in ever-homeless women Veterans. Research Design A retrospective cohort study of women Veterans using VHA administrative data from fiscal years 2002–2015. Subjects We included 41,747 ever-homeless Women Veterans age 18–44y and 46,391 housed women Veterans matched by military service period. A subgroup of 7,773 ever-homeless and 8,674 matched housed women Veterans deployed in Iraq and Afghanistan (OEF/OIF/OND) conflicts comprised a second analytic cohort. Measures Descriptive statistics compared demographic, military, health conditions, and LARC exposure in ever-homeless vs. housed women Veterans. Multivariable logistic regression explored factors associated with LARC exposure in the OEF/OIF/OND subgroup. Results All health conditions were significantly higher in ever-homeless vs. housed Veterans: mental health disorder in 84.5% vs. 48.7% (p<0.001), substance abuse in 35.8% vs. 8.6% (p<0.001), and medical conditions in 74.7% vs. 55.6% (p<0.001). LARC exposure among all VHA users was 9.3% in ever-homeless Veterans vs. 5.4% in housed Veterans (p<0.001). LARC exposure in the OEF/OIF/OND cohort was 14.1% in ever-homeless Veterans vs. 8.2% in housed Veterans (p<0.001). In the OEF/OIF/OND cohort, homelessness along Veterans with medical and mental health indicators were leading LARC exposure predictors. Conclusions The VHA is successfully engaging homeless women Veterans and providing LARC access. The prevalence of perinatal risk factors in ever-homeless women Veterans highlights a need for further programmatic enhancements to improve reproductive planning.

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Background The relationship between traumatic injury and subsequent mental health diagnoses is not well understood and may have significant implications for patient screening and clinical intervention. We sought to determine the adjusted association between traumatic injury and the subsequent development of post‐traumatic stress disorder (PTSD), depression, and anxiety. Methods Using Department of Defense and Veterans Affairs datasets between February 2002 and June 2016, we conducted a retrospective cohort study of 7,787 combat‐injured United States service members matched 1:1 to combat‐deployed, uninjured service members. The primary exposure was combat injury versus no combat injury. Outcomes were diagnoses of PTSD, depression, and anxiety, defined by International Classification of Diseases 9th and 10th Revision Clinical Modification codes. Results Compared to noninjured service members, injured service members had higher observed incidence rates per 100 person‐years for PTSD (17.1 vs. 5.8), depression (10.4 vs. 5.7), and anxiety (9.1 vs. 4.9). After adjustment, combat‐injured patients were at increased risk of development of PTSD (HR 2.92, 95%CI 2.68–3.17), depression (HR 1.47, 95%CI 1.36–1.58), and anxiety (HR 1.34, 95%CI 1.24–1.45). Conclusions Traumatic injury is associated with subsequent development of PTSD, depression, and anxiety. These findings highlight the importance of increased screening, prevention, and intervention in patients with exposure to physical trauma.