Comparative Effectiveness of Second-line Antihyperglycemic Agents for Cardiovascular Outcomes: A Large-scale, Multinational, Federated Analysis of the LEGEND-T2DM Study.

Background: SGLT2 inhibitors (SGLT2is) and GLP-1 receptor agonists (GLP1-RAs) reduce major adverse cardiovascular events (MACE) in patients with type 2 diabetes mellitus (T2DM). However, their effectiveness relative to each other and other second-line antihyperglycemic agents is unknown, without any major ongoing head-to-head trials. Methods: Across the LEGEND-T2DM network, we included ten federated international data sources, spanning 1992-2021. We identified 1,492,855 patients with T2DM and established cardiovascular disease (CVD) on metformin monotherapy who initiated one of four second-line agents (SGLT2is, GLP1-RAs, dipeptidyl peptidase 4 inhibitor [DPP4is], sulfonylureas [SUs]). We used large-scale propensity score models to conduct an active comparator, target trial emulation for pairwise comparisons. After evaluating empirical equipoise and population generalizability, we fit on-treatment Cox proportional hazard models for 3-point MACE (myocardial infarction, stroke, death) and 4-point MACE (3-point MACE + heart failure hospitalization) risk, and combined hazard ratio (HR) estimates in a random-effects meta-analysis. Findings: Across cohorts, 16·4%, 8·3%, 27·7%, and 47·6% of individuals with T2DM initiated SGLT2is, GLP1-RAs, DPP4is, and SUs, respectively. Over 5·2 million patient-years of follow-up and 489 million patient-days of time at-risk, there were 25,982 3-point MACE and 41,447 4-point MACE events. SGLT2is and GLP1-RAs were associated with a lower risk for 3-point MACE compared with DPP4is (HR 0·89 [95% CI, 0·79-1·00] and 0·83 [0·70-0·98]), and SUs (HR 0·76 [0·65-0·89] and 0·71 [0·59-0·86]). DPP4is were associated with a lower 3-point MACE risk versus SUs (HR 0·87 [0·79-0·95]). The pattern was consistent for 4-point MACE for the comparisons above. There were no significant differences between SGLT2is and GLP1-RAs for 3-point or 4-point MACE (HR 1·06 [0·96-1·17] and 1·05 [0·97-1·13]). Interpretation: In patients with T2DM and established CVD, we found comparable cardiovascular risk reduction with SGLT2is and GLP1-RAs, with both agents more effective than DPP4is, which in turn were more effective than SUs. These findings suggest that the use of GLP1-RAs and SGLT2is should be prioritized as second-line agents in those with established CVD. Funding: National Institutes of Health, United States Department of Veterans Affairs.

Healthcare service utilization for formerly homeless veterans in permanent supportive housing: Do neighborhoods matter?

Neighborhood characteristics are associated with residents' healthcare use. However, we understand less about these relationships among formerly homeless persons, who often have complex healthcare needs, including mental health and substance use disorders. Among formerly homeless Veterans, we examined: (a) how neighborhood characteristics are associated with Veteran Health Administration (VHA) healthcare use and, (b) if these relationships varied by Veterans' level of healthcare need. We obtained data on our cohort of 711 Veterans housed through VHA's permanent supportive housing program (HUD-VASH) in 2016-2017 from VHA's Homeless Registry, VHA's electronic health records, and the U.S. Census. We studied the relationships between neighborhood characteristics (% Veteran, % in poverty, % unemployed, % using public transportation, and % vacant properties) and VA healthcare use (primary care visits, outpatient mental health visits, and "high use" of emergency departments [> 4 visits]) using mixed-effects logistic and negative binomial regression models, controlling for patient demographics. We further examined moderation by patient healthcare need (calculated from cost and clinical data). We found that veterans in neighborhoods with higher percentages of residents who (a) were Veterans or (b) used public transportation were more likely to have high emergency department use. Those in neighborhoods with higher public transportation use had more primary care visits while those in neighborhoods with more property vacancies had more outpatient mental health visits. Among those with high healthcare needs, residents of areas with more Veterans had higher emergency department use. Promoting public transportation use and social engagement with other Veterans in residential neighborhoods may influence HUD-VASH Veterans' VA healthcare use. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Sexual orientation-related disparities in health conditions that elevate COVID-19 severity.

PURPOSE: The Veterans Health Administration (VA) is the largest single integrated healthcare system in the US and is likely the largest healthcare provider for people with minoritized sexual orientations (e.g., gay, lesbian, bisexual). The purpose of this study was to use electronic health record (EHR) data to replicate self-reported survey findings from the general US population and assess whether sexual orientation is associated with diagnosed physical health conditions that may elevate risk of COVID-19 severity among veterans who utilize the VA. METHODS: A retrospective analysis of VA EHR data from January 10, 1999-January 07, 2019 analyzed in 2021. Veterans with minoritized sexual orientations were included if they had documentation of a minoritized sexual orientation within clinical notes identified via natural language processing. Veterans without minoritized sexual orientation documentation comprised the comparison group. Adjusted prevalence and prevalence ratios (aPR) were calculated overall and by race/ethnicity while accounting for differences in distributions of sex assigned at birth, age, calendar year of first VA visit, volumes of healthcare utilization, and VA priority group. RESULTS: Data from 108,401 veterans with minoritized sexual orientation and 6,511,698 controls were analyzed. After adjustment, veterans with minoritized sexual orientations had a statistically significant elevated prevalence of 10 of the 11 conditions. Amongst the highest disparities observed were COPD (aPR:1.24 [95% confidence interval:1.23-1.26]), asthma (1.22 [1.20-1.24]), and stroke (1.26 [1.24-1.28]). CONCLUSIONS: Findings largely corroborated patterns among the general US population. Further research is needed to determine if these disparities translate to poorer COVID-19 outcomes for individuals with minoritized sexual orientation.

Positive Predictive Value of COVID-19 ICD-10 Diagnosis Codes Across Calendar Time and Clinical Setting.

PURPOSE: To estimate the positive predictive value (PPV) of International Classification of Diseases, Tenth Revision (ICD-10) code U07.1, COVID-19 virus identified, in the Department of Veterans of Affairs (VA). PATIENTS AND METHODS: Records of ICD-10 code U07.1 from inpatient, outpatient, and emergency/urgent care settings were extracted from VA medical record data from 4/01/2020 to 3/31/2021. A weighted, random sample of 1500 records from each quarter of the one-year observation period was reviewed by study personnel to confirm active COVID-19 infection at the time of diagnosis and classify reasons for false positive records. PPV was estimated overall and compared across clinical setting and quarters. RESULTS: We identified 664,406 records of U07.1. Among the 1500 reviewed, 237 were false positives (PPV: 84.2%, 95% CI: 82.4-86.0). PPV ranged from 77.7% in outpatient settings to 93.8% in inpatient settings and was 83.3% in quarter 1, 80.5% in quarter 2, 86.1% in quarter 3, and 83.6% in quarter 4. The most common reasons for false positive records were history of COVID-19 (44.3%) and orders for laboratory tests (21.5%). CONCLUSION: The PPV of ICD-10 code U07.1 is low, especially in outpatient settings. Directed training may improve accuracy of coding to levels that are deemed adequate for future use in surveillance efforts.

Military Sexual Trauma and Adverse Mental and Physical Health and Clinical Comorbidity in Women Veterans.

INTRODUCTION: Military sexual trauma (MST)-exposure to sexual harassment or assault during military service-is a major health priority for the Veterans Health Administration (VHA). We examined the health correlates of MST in the largest sample of U.S. women veterans studied to date. METHODS: Using national VHA electronic medical record data, we identified 502,199 women veterans who enrolled in the VHA between January 1, 2000, and December 31, 2017, had at least one VHA visit, and were screened for MST (exclusive of those who declined to answer the screening). We conducted logistic regression analyses to examine associations of a positive MST screen with various mental and physical health conditions-defined by administrative diagnostic codes-and comorbidity of mental and/or physical health conditions. Models were adjusted for demographic and military service characteristics, along with duration in the VHA. RESULTS: Approximately 26% (n = 130,738) of women veterans screened positive for MST. In fully adjusted models, a positive MST screen was associated with greater risk of having all mental and physical health conditions examined, except cancer-related conditions, ranging from 9% greater odds of rheumatic disease to 5.4 times greater odds of post-traumatic stress disorder. MST was also associated with greater comorbidity, including greater odds of having ≥2 mental health conditions (odds ratio [OR], 3.28; 99% confidence interval [CI], 3.20-3.37), having ≥2 physical health conditions (OR, 1.26; 99% CI, 1.22-1.29), and having ≥1 mental health condition and ≥1 physical health condition (OR, 2.05; 99% CI, 2.00-2.11). CONCLUSIONS: Findings suggest that MST is common in women veterans and may play a role in the clinical complexity arising from comorbid conditions.

Association of Posttraumatic Stress Disorder and Incident Ischemic Heart Disease in Women Veterans.

Importance: Posttraumatic stress disorder (PTSD) is associated with greater risk of ischemic heart disease (IHD) in predominantly male populations or limited community samples. Women veterans represent a growing, yet understudied, population with high levels of trauma exposure and unique cardiovascular risks, but research on PTSD and IHD in this group is lacking. Objective: To determine whether PTSD is associated with incident IHD in women veterans. Design, Setting, and Participants: In this retrospective, longitudinal cohort study of the national Veterans Health Administration (VHA) electronic medical records, the a priori hypothesis that PTSD would be associated with greater risk of IHD onset was tested. Women veterans 18 years or older with and without PTSD who were patients in the VHA from January 1, 2000, to December 31, 2017, were assessed for study eligibility. Exclusion criteria consisted of no VHA clinical encounters after the index visit, IHD diagnosis at or before the index visit, and IHD diagnosis within 90 days of the index visit. Propensity score matching on age at index visit, number of prior visits, and presence of traditional and female-specific cardiovascular risk factors and mental and physical health conditions was conducted to identify women veterans ever diagnosed with PTSD, who were matched in a 1:2 ratio to those never diagnosed with PTSD. Data were analyzed from October 1, 2018, to October 30, 2020. Exposures: PTSD, defined by International Classification of Diseases, Ninth Revision (ICD-9), or International Statistical Classification of Diseases and Related Health Problems, Tenth Revision (ICD-10), diagnosis codes from inpatient or outpatient encounters. Main Outcomes and Measures: Incident IHD, defined as new-onset coronary artery disease, angina, or myocardial infarction, based on ICD-9 and ICD-10 diagnosis codes from inpatient or outpatient encounters, and/or coronary interventions based on Current Procedural Terminology codes. Results: A total of 398 769 women veterans, 132 923 with PTSD and 265 846 never diagnosed with PTSD, were included in the analysis. Baseline mean (SD) age was 40.1 (12.2) years. During median follow-up of 4.9 (interquartile range, 2.1-9.2) years, 4381 women with PTSD (3.3%) and 5559 control individuals (2.1%) developed incident IHD. In a Cox proportional hazards model, PTSD was significantly associated with greater risk of developing IHD (hazard ratio [HR], 1.44; 95% CI, 1.38-1.50). Secondary stratified analyses indicated that younger age identified women veterans with PTSD who were at greater risk of incident IHD. Effect sizes were largest for those younger than 40 years at baseline (HR, 1.72; 95% CI, 1.55-1.93) and decreased monotonically with increasing age (HR for ≥60 years, 1.24; 95% CI, 1.12-1.38). Conclusions and Relevance: This cohort study found that PTSD was associated with increased risk of IHD in women veterans and may have implications for IHD risk assessment in vulnerable individuals.

Variation in Sexual Orientation Documentation in a National Electronic Health Record System.

Purpose: The purpose of this study was to determine variation in sexual minority (SM) sexual orientation documentation within the electronic medical records of the Veterans Health Administration (VHA). Methods: Documentation of SM sexual orientation was retrospectively extracted from clinical notes and administrative data in the VHA from October 1, 1999 to July 1, 2019. The rate of documentation overall and by calendar year was calculated, and differences across patient, provider, and clinic characteristics were evaluated. Results: Approximately 1.4% of all VHA Veterans (n = 115,911) had at least one documentation of SM sexual orientation, including 79,455 men and 36,456 women. The rate of documentation increased from 81.01/100,000 in 2000 to 568.84/100,000 in 2018. The majority of documentations (58.7%) occurred in mental health settings by non-MD mental health/social work counselors, whereas only 9.6% occurred in primary care settings. Although 99% of these Veterans had a primary care visit, only 19% had SM status recorded in that setting. Conclusion: Documentation patterns of SM sexual orientation varied considerably in the VHA with notable gaps in primary care. Diverse approaches to culturally competent training for primary care clinicians and patient-facing collection strategies could facilitate documentation of sexual orientation.

Adherence to the Use of Home Telehealth Technologies and Emergency Room Visits in Veterans with Heart Failure.

Background: Prior studies have posited poor patient adherence to remote patient monitoring as the reason for observed lack of benefits. Introduction: The purpose of this study was to examine the relationship between average adherence to the daily use of home telehealth (HT) and emergency room (ER) visits in Veterans with heart failure. Materials and Methods: This was a retrospective study using administrative data of Veterans with heart failure enrolled in Veterans Affairs (VA) HT Program in the first half of 2014. Zero-inflated negative binomial regression was used to determine which predictors affect the probability of having an ER visit and the number of ER visits. Results: The final sample size was 3,449 with most being white and male. There were fewer ER visits after HT enrollment (mean ± standard deviation of 1.85 ± 2.8) compared with the year before (2.2 ± 3.4). Patient adherence was not significantly associated with ER visits. Age and being from a racial minority group (not white or black) and belonging to a large HT program were associated with having an ER visit. Being in poorer health was associated with higher expected count of ER visits. Discussion: Subgroups of patients (e.g., with depression, sicker, or from a racial minority group) may benefit from added interventions to decrease ER use. Conclusions: This study found that adherence was not associated with ER visits. Reasons other than adherence should be considered when looking at ER use in patients with heart failure enrolled in remote patient monitoring programs.

Why patients stop using their home telehealth technologies over time: Predictors of discontinuation in Veterans with heart failure.

BACKGROUND: Daily use of home telehealth (HT) technologies decreases over time. Barriers to continued use are unclear. PURPOSE: To examine predictors of drop-out from HT in Veterans with heart failure. METHODS: Data for Veterans with heart failure enrolled in the Veterans Affairs HT Program were analyzed using a mixed effects Cox regression model to determine risk of dropping-out over a 1-year period. FINDINGS: Older (hazard ratio [HR] 1.01), sicker (prior hospital readmission [HR 1.39]), higher probability of hospital admission/death [HR 1.23], functional impairments [1.14]) and white Veterans (compared to black; HR 1.41) had higher risk of drop-out in HT Programs. Users of VA's online patient portal (HR 0.90) had lower risk of drop-out. DISCUSSION: Older and sicker patients are at most risk of stopping HT use, yet use of a patient portal shows promise in improving continued use. Interventions targeting patients at high risk for HT discontinuation are needed to promote ongoing engagement.

Evaluation of Suicide Mortality Among Sexual Minority US Veterans From 2000 to 2017.

Importance: Identification of subgroups at greatest risk for suicide mortality is essential for prevention efforts and targeting interventions. Sexual minority individuals may have an increased risk for suicide compared with heterosexual individuals, but a lack of sufficiently powered studies with rigorous methods for determining sexual orientation has limited the knowledge on this potential health disparity. Objective: To investigate suicide mortality among sexual minority veterans using Veterans Health Administration (VHA) electronic health record data. Design, Setting, and Participants: This retrospective population-based cohort study used data on 8.1 million US veterans enrolled in the VHA after fiscal year 1999 that were obtained from VHA electronic health records from October 1, 1999 to September 30, 2017. Data analysis was carried out from March 1, 2020 to October 31, 2020. Exposure: Veterans with documentation of a minority sexual orientation. Documentation of sexual minority status was obtained through natural language processing of clinical notes and extraction of structured administrative data for sexual orientation in VHA electronic health records. Main Outcomes and Measures: Suicide mortality rate using data on the underlying cause of death obtained from the National Death Index. Crude and age-adjusted mortality rates were calculated for all-cause death and death from suicide among sexual minority veterans compared with the general US population and the general population of veterans. Results: Among the 96 893 veterans with at least 1 sexual minority documentation in the electronic health record, the mean (SD) age was 46 (16) years, 68% were male, and 70% were White. Of the 12 591 total deaths, 3.5% were from suicide. Veterans had a significantly higher rate of mortality from suicide (standardized mortality ratio, 4.50; 95% CI, 4.13-4.99) compared with the general US population. Suicide was the fifth leading cause of death in 2017 among sexual minority veterans (3.8% of deaths) and the tenth leading cause of death in the general US population (1.7% of deaths). The crude suicide rate among sexual minority veterans (82.5 per 100 000 person-years) was higher than the rate in the general veteran population (37.7 per 100 000 person-years). Conclusions and Relevance: The results of this population-based cohort study suggest that sexual minority veterans have a greater risk for suicide than the general US population and the general veteran population. Further research is needed to determine whether and how suicide prevention efforts reach sexual minority veterans.

The Utility of Clinical Notes for Sexual Minority Health Research.

INTRODUCTION: Despite improvements in electronic medical record capability to collect data on sexual orientation, not all healthcare systems have adopted this practice. This can limit the usability of systemwide electronic medical record data for sexual minority research. One viable resource might be the documentation of sexual orientation within clinical notes. The authors developed an approach to identify sexual orientation documentation and subsequently derived a cohort of sexual minority patients using clinical notes from the Veterans Health Administration electronic medical record. METHODS: A hybrid natural language processing approach was developed and used to identify and categorize instances of terms and phrases related to sexual orientation in Veterans Health Administration clinical notes from 2000 to 2019. System performance was assessed with positive predictive value and sensitivity. Data were analyzed in 2019. RESULTS: A total of 2,413,584 sexual minority terms/phrases were found within clinical notes, of which 439,039 (18%) were found to be related to patient sexual orientation with a positive predictive value of 85.9%. Documentation of sexual orientation was found for 115,312 patients. When compared with 2,262 patients with a record of administrative coding for homosexuality, the system found mentions of sexual orientation for 1,808 patients (79.9% sensitivity). CONCLUSIONS: When systemwide structured data are unavailable or inconsistent, deriving a cohort of sexual minority patients in electronic medical records for research is possible and permits longitudinal analysis across multiple clinical domains. Although limitations and challenges to the approach were identified, this study makes an important step forward for the Veterans Health Administration sexual minority research, and the methodology can be applied in other healthcare organizations.

Translating Social Determinants of Health into Standardized Clinical Entities.

Social determinants of health (SDH) are a valuable source of health information which still are not fully utilized in the clinical space. Knowing that a certain patient has trouble finding transportation, has a potentially hazardous relationship with a family member or close relative, is currently unemployed, or various other social factors would allow providers to tailor treatment plans in a way to best help that patient. However, these SDH must be gathered, represented, and stored in a standardized way before they can be leveraged by informatics tools designed for health providers. This process of translating SDH to standardized clinical entities includes two main steps. The first is a collaborative effort to establish an ontology of medical terminology codes (i.e., ICD, SNOMED, LOINC, etc.) which can be used to uniformly represent SDH as coded concepts. The second is a collaborative effort to use the FHIR standard to create profiles and extensions which will allow FHIR resources to be used to store the coded SDH as clinical entities. Each of these steps has their own complexities that must be considered and accounted for in future efforts to create interoperable clinical informatics solutions which utilize SDH.

Home Telehealth Technologies for Heart Failure: An Examination of Adherence Among Veterans.

The current retrospective cohort study uses Department of Veterans Affairs (VA) clinical and facility data of Veterans with heart failure enrolled in the VA Home Tele-health (HT) Program. General estimating equations with facility as a covariate were used to model percent average adherence at 1, 3, 6, and 12 months post-enrollment. Most HT patients were White, male, and of older age (mean = 71 years). Average adherence increased the longer patients remained in the HT program. Number of weekly reports of HT use, not having depression, and being of older age were all associated with higher adherence. Compared to White Veterans, Black and other non-White Veterans had lower adherence. These findings identify subgroups of patients (e.g., those with depression, of younger age, non-White) that may benefit from additional efforts to improve adherence to HT technologies. [Journal of Gerontological Nursing, 46(7), 26-34.].

Sex and the Diagnostic Pathway to Bladder Cancer among Veterans: No Evidence of Disparity.

BACKGROUND: Longer time intervals from presentation with hematuria to bladder cancer diagnosis have been reported among women compared with men. Despite women being the fastest growing cohort within the Department of Veterans Affairs, little is known about women veterans with bladder cancer. Our objectives were to quantify the time from hematuria to bladder cancer diagnosis in Department of Veterans Affairs and assess differences between sexes. METHODS: This was a retrospective cohort study of patients diagnosed with bladder cancer from 2001 to 2016. Included were patients with hematuria for fewer than 365 days before a bladder cancer diagnosis and who had a record of diagnostic cystoscopy after hematuria but before diagnosis. We evaluated the number of days from hematuria to diagnostic cystoscopy (clinical appraisal), cystoscopy to bladder cancer diagnosis (surgical appraisal), and hematuria to bladder cancer diagnosis (total diagnostic appraisal). We used quantile regression models to separately evaluate the effect of sex on the three appraisal intervals. RESULTS: Data from 213 women and 24,295 men were analyzed. The median clinical appraisal time was 78 days for women and 72 for men (p = .49). The median surgical appraisal time was 32 days for women and 33 for men (p = .74). The median total diagnostic appraisal time was 135 days for women and 130 for men (p = .71). Multivariable analyses showed no differences between men and women for any of the three appraisal intervals. CONCLUSIONS: The majority of time from hematuria to bladder cancer diagnosis is spent in clinical appraisal, but little difference was observed between men and women in Department of Veterans Affairs.

Incrementally Transforming Electronic Medical Records into the Observational Medical Outcomes Partnership Common Data Model: A Multidimensional Quality Assurance Approach.

BACKGROUND: The development and adoption of health care common data models (CDMs) has addressed some of the logistical challenges of performing research on data generated from disparate health care systems by standardizing data representations and leveraging standardized terminology to express clinical information consistently. However, transforming a data system into a CDM is not a trivial task, and maintaining an operational, enterprise capable CDM that is incrementally updated within a data warehouse is challenging. OBJECTIVES: To develop a quality assurance (QA) process and code base to accompany our incremental transformation of the Department of Veterans Affairs Corporate Data Warehouse health care database into the Observational Medical Outcomes Partnership (OMOP) CDM to prevent incremental load errors. METHODS: We designed and implemented a multistage QA) approach centered on completeness, value conformance, and relational conformance data-quality elements. For each element we describe key incremental load challenges, our extract, transform, and load (ETL) solution of data to overcome those challenges, and potential impacts of incremental load failure. RESULTS: Completeness and value conformance data-quality elements are most affected by incremental changes to the CDW, while updates to source identifiers impact relational conformance. ETL failures surrounding these elements lead to incomplete and inaccurate capture of clinical concepts as well as data fragmentation across patients, providers, and locations. CONCLUSION: Development of robust QA processes supporting accurate transformation of OMOP and other CDMs from source data is still in evolution, and opportunities exist to extend the existing QA framework and tools used for incremental ETL QA processes.

Using Enriched Samples for Semi-Automated Vocabulary Expansion to Identify Rare Events in Clinical Text: Sexual Orientation as a Use Case.

We demonstrate the utility of concept lexicon expansion and evaluation using enriched samples of patients and documents with sexual orientation as a use case for rare event detection in electronic medical records. Using this approach, we found 7 additional words and 21 misspellings beyond our initial set of five seed words. We can use the expanded vocabulary to further develop a full natural language processing system to identify instances where sexual orientation is documented.

Characterizing VA Users with the OMOP Common Data Model.

In 2015, the VA Informatics and Computing Infrastructure, a resource center of the Department of Veterans Affairs, began to transform parts of its Corporate Data Warehouse (CDW) into the Observational Medical Outcomes Partnership) Common Data Model for use by its research and operations communities. Using the hierarchical relationships within the clinical vocabularies in OMOP we found differences in visits, disease prevalence, and medications prescribed between male and female veterans seen between VA fiscal years 2000-17.

Risperdal® CONSTA® Needle Detachment. Incidence Rates Before and After Kit Redesign: A Retrospective Study using Electronic Health Records and Natural Language Processing in the Department of Veterans Affairs.

INTRODUCTION: Janssen received reports of needle detachments for Risperdal® CONSTA® and, in response, redesigned the kit. OBJECTIVE: The study objective was to estimate the rate of Risperdal® CONSTA® needle detachments prior to and after the introduction of a redesigned kit. METHODS: This retrospective study used record abstraction in the US Department of Veterans Affairs (VA). The 3 phases included: (1) a pilot study for methods evaluation in a sample of 6 hospitals with previously reported detachments; (2) a baseline study to ascertain the baseline detachment rate; and (3) a follow-up study to ascertain the rate for the redesigned kit. Administrative codes and natural language processing with clinical review were used to identify detachments. RESULTS: Pilot: we identified a subset of spontaneously reported detachments and several previously unreported events. In the baseline study (original device), from January through December 2013, 22 needle detachments were identified among 47,934 administrations of the drug in a census of administrations in the VA; an incidence of 0.0459%. In the follow-up study (redesigned device), from December 2015 through December 2016, there were 14 reported detachments in 41,819 injections, 0.0335%. This represents a reduction of 27% from the baseline. CONCLUSION: This approach enabled us to identify needle detachments we would not have otherwise found ("solicited"). However, it likely resulted in incomplete outcome ascertainment. While this may have resulted in lower overall rates, it did not bias the comparison of the baseline and follow-up studies. The results showed that the redesigned Risperdal® CONSTA® kit reduced the incidence of needle detachment events in the VA. FUNDING: Janssen Pharmaceuticals, Inc.

Epidermal Growth Factor Receptor Mutational Testing and Erlotinib Treatment Among Veterans Diagnosed With Lung Cancer in the United States Department of Veterans Affairs.

INTRODUCTION: We examined mutational testing of the epidermal growth factor gene (EGFR) and erlotinib treatment among veterans diagnosed with non-small-cell lung cancer in the United States Department of Veterans Affairs (VA). Our objectives were to identify the prevalence of clinically actionable EGFR mutations, to determine whether testing and treatment were guideline concordant, to evaluate the impact of testing and treatment on survival, and to estimate the rate of testing. PATIENTS AND METHODS: Test results were linked to electronic health records from VA Corporate Data Warehouse and the VA Central Cancer Registry. We analyzed patient demographic and clinical characteristics, prevalence of EGFR mutations, and timing of EGFR mutational testing and erlotinib treatment based on pharmacy records. Overall survival was assessed by Kaplan-Meier analysis. RESULTS: Among 973 patients tested at 70 VA medical centers between 2011 and 2013, 64 (7%) had sensitizing EGFR mutations, 694 (71%) were EGFR wild type, and 168 (17%) had clinically insignificant polymorphisms or variants of unknown significance. Results were not documented in 47 tests (5%). Erlotinib administration was in agreement with test results in 843 cases (87%). CONCLUSION: Veterans have a much lower rate of sensitizing EGFR mutations than the reported average of 10% to 15%, which correlates with a high rate of smoking among veterans. This may partially explain clinicians' reluctance to prescribe EGFR testing, which results in underutilization. Although test results appear to have influenced erlotinib treatment decisions, we documented a substantial number of cases where treatment was not applied in accordance with clinical guidelines, potentially resulting in worse outcomes and unnecessary cost.

Extraction of Vital Signs from Clinical Notes.

Assessment of vital signs is an essential part of surveillance of critically ill patients to detect condition changes and clinical deterioration. While most modern electronic medical records allow for vitals to be recorded in a structured format, the frequency and quality of what is electronically stored may differ from how often these measures are actually recorded. We created a tool that extracts blood pressure, heart rate, temperature, respiratory rate, blood oxygen saturation, and pain level from nursing and other clinical notes recorded in the course of inpatient care to supplement structured vital sign data.