Patient Characteristics Associated with Receiving Gender-Affirming Hormone Therapy in the Veterans Health Administration.

Purpose: This study aimed to examine patient characteristics associated with receipt of gender-affirming hormone therapy in the Veterans Health Administration (VHA). Methods: This cross-sectional study included a national cohort of 9555 transgender and gender diverse (TGD) patients with TGD-related diagnosis codes who received care in the VHA from 2006 to 2018. Logistic regression models were used to determine the association of health conditions and documented social stressors with receipt of gender affirming hormone therapy. Results: Of the 9555 TGD patients, 57.4% received gender-affirming hormone therapy in the VHA. In fully adjusted models, patients who had following characteristics were less likely to obtain gender-affirming hormones in the VHA: Black, non-Hispanic versus white (adjusted odds ratio [aOR]: 0.61; 95% confidence interval [CI]: 0.52-0.72), living in the Northeast versus the West (aOR: 0.72; 95% CI: 0.62-0.84), a documented drug use disorder (aOR: 0.56; 95% CI: 0.47-0.68), ≥3 versus no comorbidities (aOR: 0.44; 95% CI: 0.34-0.57), and ≥3 versus no social stressors (aOR: 0.42; 95% CI: 0.30-0.58; all p<0.001). Younger patients aged 21-29 years were almost 3 times more likely to receive gender affirming hormone therapy in the VHA than those aged ≥60 (aOR: 2.98; 95% CI: 2.55-3.47; p<0.001). Conclusion: TGD individuals who were older, Black, non-Hispanic, and had more comorbidities and documented social stressors were less likely to receive gender-affirming hormone therapy in the VHA. Further understanding of patient preferences in addition to clinician- and site-level determinants that may impact access to gender-affirming hormone therapy for TGD individuals in the VHA is needed.

Clinicians in the Veterans Health Administration initiate gender-affirming hormone therapy in concordance with clinical guideline recommendations.

Background: Gender-affirming hormone therapy (GAHT) is a common medical intervention sought by transgender and gender diverse (TGD) individuals. Initiating GAHT in accordance with clinical guideline recommendations ensures delivery of high-quality care. However, no prior studies have examined how current GAHT initiation compares to recommended GAHT initiation. Objective: This study assessed guideline concordance around feminizing and masculinizing GAHT initiation in the Veterans Health Administration (VHA). Methods: The sample included 4,676 veterans with a gender identity disorder diagnosis who initiated feminizing (n=3,547) and masculinizing (n=1,129) GAHT between 2007 and 2018 in VHA. Demographics and health conditions on veterans receiving feminizing and masculinizing GAHT were assessed. Proportion of guideline concordant veterans on six VHA guidelines on feminizing and masculinizing GAHT initiation were determined. Results: Compared to veterans receiving masculinizing GAHT, a higher proportion of veterans receiving feminizing GAHT were older (≥60 years: 23.7% vs. 6.3%), White non-Hispanic (83.5% vs. 57.6%), and had a higher number of comorbidities (≥7: 14.0% vs. 10.6%). A higher proportion of veterans receiving masculinizing GAHT were Black non-Hispanic (21.5% vs. 3.5%), had posttraumatic stress disorder (43.0% vs. 33.9%) and positive military sexual trauma (33.5% vs.16.8%; all p-values<0.001) than veterans receiving feminizing GAHT. Among veterans who started feminizing GAHT with estrogen, 97.0% were guideline concordant due to no documentation of contraindication, including venous thromboembolism, breast cancer, stroke, or myocardial infarction. Among veterans who started spironolactone as part of feminizing GAHT, 98.1% were guideline concordant as they had no documentation of contraindication, including hyperkalemia or acute renal failure. Among veterans starting masculinizing GAHT, 90.1% were guideline concordant due to no documentation of contraindications, such as breast or prostate cancer. Hematocrit had been measured in 91.8% of veterans before initiating masculinizing GAHT, with 96.5% not having an elevated hematocrit (>50%) prior to starting masculinizing GAHT. Among veterans initiating feminizing and masculinizing GAHT, 91.2% had documentation of a gender identity disorder diagnosis prior to GAHT initiation. Conclusion: We observed high concordance between current GAHT initiation practices in VHA and guidelines, particularly for feminizing GAHT. Findings suggest that VHA clinicians are initiating feminizing GAHT in concordance with clinical guidelines. Future work should assess guideline concordance on monitoring and management of GAHT in VHA.

Prevalence of Mild Cognitive Impairment and Alzheimer's Disease Identified in Veterans in the United States.

Background: Diagnostic codes can be instrumental for case identification in Alzheimer's disease (AD) research; however, this method has known limitations and cannot distinguish between disease stages. Clinical notes may offer more detailed information including AD severity and can complement diagnostic codes for case identification. Objective: To estimate prevalence of mild cognitive impairment (MCI) and AD using diagnostics codes and clinical notes available in the electronic healthcare record (EHR). Methods: This was a retrospective study in the Veterans Affairs Healthcare System (VAHS). Health records from Veterans aged 65 years or older were reviewed during Fiscal Years (FY) 2010-2019. Overall, 274,736 and 469,569 Veterans were identified based on a rule-based algorithm as having at least one clinical note for MCI and AD, respectively; 201,211 and 149,779 Veterans had a diagnostic code for MCI and AD, respectively. During FY 2011-2018, likely MCI or AD diagnosis was defined by≥2 qualifiers (i.e., notes and/or codes)≥30 days apart. Veterans with only 1 qualifier were considered as suspected MCI/AD. Results: Over the 8-year study, 147,106 and 207,225 Veterans had likely MCI and AD, respectively. From 2011 to 2018, yearly MCI prevalence increased from 0.9% to 2.2%; yearly AD prevalence slightly decreased from 2.4% to 2.1%; mild AD changed from 22.9% to 26.8%, moderate AD changed from 26.5% to 29.1%, and severe AD changed from 24.6% to 30.7. Conclusions: The relative distribution of AD severities was stable over time. Accurate prevalence estimation is critical for healthcare resource allocation and facilitating patients receiving innovative medicines.

Complexity of patients with mental healthcare needs cared for by mental health clinical pharmacist practitioners in Veterans Affairs.

PURPOSE: The complexity of patients with mental healthcare needs cared for by clinical pharmacists is not well delineated. We evaluated the complexity of patients with schizophrenia, bipolar disorder, and major depressive disorder (MDD) in Veterans Affairs (VA) cared for by mental health clinical pharmacist practitioners (MH CPPs). METHODS: Patients at 42 VA sites with schizophrenia, bipolar disorder, or MDD in 2016 through 2019 were classified by MH CPP visits into those with 2 or more visits ("ongoing MH CPP care"), those with 1 visit ("consultative MH CPP care"), and those with no visits ("no MH CPP care"). Patient complexity for each condition was defined by medication regimen and service utilization. RESULTS: For schizophrenia, more patients in ongoing MH CPP care were complex than those with no MH CPP care, based on all measures examined: the number of primary medications (15.3% vs 8.1%), inpatient (13.7% vs 9.1%) and outpatient (42.6% vs 29.7%) utilization, and receipt of long-acting injectable antipsychotics (36.7% vs 25.8%) and clozapine (20.5% vs 9.5%). For bipolar disorder, more patients receiving ongoing or consultative MH CPP care were complex than those with no MH CPP care based on the number of primary medications (27.9% vs 30.5% vs 17.7%) and overlapping mood stabilizers (10.1% vs 11.6% vs 6.2%). For MDD, more patients receiving ongoing or consultative MH CPP care were complex based on the number of primary medications (36.8% vs 35.5% vs 29.2%) and augmentation of antidepressants (56.1% vs 54.4% vs 47.0%) than patients without MH CPP care. All comparisons were significant (P < 0.01). CONCLUSION: MH CPPs provide care for complex patients with schizophrenia, bipolar disorder, and MDD in VA.

Clinical pharmacist practitioners on primary care teams play an important role in caring for complex patients with diabetes.

PURPOSE: To evaluate whether clinical pharmacist practitioners (CPPs) are being utilized to care for patients with complex medication regimens and multiple chronic illnesses, we compared the clinical complexity of diabetes patients referred to CPPs in team primary care and those in care by other team providers (OTPs). METHODS: In this cross-sectional comparison of patients with diabetes in the US Department of Veterans Affairs (VA) healthcare system in the 2017-2019 period, patient complexity was based on clinical factors likely to indicate need for more time and resources in medication and disease state management. These factors include insulin prescriptions; use of 3 or more other diabetes medication classes; use of 6 or more other medication classes; 5 or more vascular complications; metabolic complications; 8 or more other complex chronic conditions; chronic kidney disease stage 3b or higher; glycated hemoglobin level of ≥10%; and medication regime nonadherence. RESULTS: Patients with diabetes referred to one of 110 CPPs for care (n = 12,728) scored substantially higher (P < 0.001) than patients with diabetes in care with one of 544 OTPs (n = 81,183) on every complexity measure, even after adjustment for age, sex, race, and marital status. Based on composite summary scores, the likelihood of complexity was 3.42 (interquartile range, 3.25-3.60) times higher for those in ongoing CPP care (ie, those with 2 or more visits) versus OTP care. Patients in CPP care also were, on average, younger, more obese, and had more prior outpatient visits and hospital stays. CONCLUSION: The greater complexity of patients with diabetes seen by CPPs in primary care suggests that CPPs are providing valuable services in comprehensive medication and disease management of complex patients.

Intentional Self-Harm Among US Veterans With Traumatic Brain Injury or Posttraumatic Stress Disorder: Retrospective Cohort Study From 2008 to 2017.

BACKGROUND: Veterans with a history of traumatic brain injury (TBI) and/or posttraumatic stress disorder (PTSD) may be at increased risk of suicide attempts and other forms of intentional self-harm as compared to veterans without TBI or PTSD. OBJECTIVE: Using administrative data from the US Veterans Health Administration (VHA), we studied associations between TBI and PTSD diagnoses, and subsequent diagnoses of intentional self-harm among US veterans who used VHA health care between 2008 and 2017. METHODS: All veterans with encounters or hospitalizations for intentional self-harm were assigned "index dates" corresponding to the date of the first related visit; among those without intentional self-harm, we randomly selected a date from among the veteran's health care encounters to match the distribution of case index dates over the 10-year period. We then examined the prevalence of TBI and PTSD diagnoses within the 5-year period prior to veterans' index dates. TBI, PTSD, and intentional self-harm were identified using International Classification of Diseases diagnosis and external cause of injury codes from inpatient and outpatient VHA encounters. We stratified analyses by veterans' average yearly VHA utilization in the 5-year period before their index date (low, medium, or high). Variations in prevalence and odds of intentional self-harm diagnoses were compared by veterans' prior TBI and PTSD diagnosis status (TBI only, PTSD only, and comorbid TBI/PTSD) for each VHA utilization stratum. Multivariable models adjusted for age, sex, race, ethnicity, marital status, Department of Veterans Affairs service-connection status, and Charlson Comorbidity Index scores. RESULTS: About 6.7 million veterans with at least two VHA visits in the 5-year period before their index dates were included in the analyses; 86,644 had at least one intentional self-harm diagnosis during the study period. During the periods prior to veterans' index dates, 93,866 were diagnosed with TBI only; 892,420 with PTSD only; and 102,549 with comorbid TBI/PTSD. Across all three VHA utilization strata, the prevalence of intentional self-harm diagnoses was higher among veterans diagnosed with TBI, PTSD, or TBI/PTSD than among veterans with neither diagnosis. The observed difference was most pronounced among veterans in the high VHA utilization stratum. The prevalence of intentional self-harm was six times higher among those with comorbid TBI/PTSD (6778/58,295, 11.63%) than among veterans with neither TBI nor PTSD (21,979/1,144,991, 1.92%). Adjusted odds ratios suggested that, after accounting for potential confounders, veterans with TBI, PTSD, or comorbid TBI/PTSD had higher odds of self-harm compared to veterans without these diagnoses. Among veterans with high VHA utilization, those with comorbid TBI/PTSD were 4.26 (95% CI 4.15-4.38) times more likely to receive diagnoses for intentional self-harm than veterans with neither diagnosis. This pattern was similar for veterans with low and medium VHA utilization. CONCLUSIONS: Veterans with TBI and/or PTSD diagnoses, compared to those with neither diagnosis, were substantially more likely to be subsequently diagnosed with intentional self-harm between 2008 and 2017. These associations were most pronounced among veterans who used VHA health care most frequently. These findings suggest a need for suicide prevention efforts targeted at veterans with these diagnoses.

Development and Validation of Quality Measures for Testosterone Prescribing.

Context: Accurate measures to assess appropriateness of testosterone prescribing are needed to improve prescribing practices. Objective: This work aimed to develop and validate quality measures around the initiation and monitoring of testosterone prescribing. Methods: This retrospective cohort study comprised a national cohort of male patients receiving care in the Veterans Health Administration who initiated testosterone during January or February 2020. Using laboratory data and diagnostic codes, we developed 9 initiation and 7 monitoring measures. These were based on the current Endocrine Society guidelines supplemented by expert opinion and prior work. We chose measures that could be operationalized using national VA electronic health record (EHR) data. We assessed criterion validity for these 16 measures by manual review of 142 charts. Main outcome measures included positive and negative predictive values (PPVs, NPVs), overall accuracy (OA), and Matthews Correlation Coefficients (MCCs). Results: We found high PPVs (>78%), NPVs (>98%), OA (≥94%), and MCCs (>0.85) for the 10 measures based on laboratory data (5 initiation and 5 monitoring). For the 6 measures relying on diagnostic codes, we similarly found high NPVs (100%) and OAs (≥98%). However, PPVs for measures of acute conditions occurring before testosterone initiation (ie, acute myocardial infarction or stroke) or new conditions occurring after initiation (ie, prostate or breast cancer) PPVs were much lower (0% to 50%) due to few or no cases. Conclusion: We developed several valid EHR-based quality measures for assessing testosterone-prescribing practices. Deployment of these measures in health care systems can facilitate identification of quality gaps in testosterone-prescribing and improve care of men with hypogonadism.

Automated identification of eviction status from electronic health record notes.

OBJECTIVE: Evictions are important social and behavioral determinants of health. Evictions are associated with a cascade of negative events that can lead to unemployment, housing insecurity/homelessness, long-term poverty, and mental health problems. In this study, we developed a natural language processing system to automatically detect eviction status from electronic health record (EHR) notes. MATERIALS AND METHODS: We first defined eviction status (eviction presence and eviction period) and then annotated eviction status in 5000 EHR notes from the Veterans Health Administration (VHA). We developed a novel model, KIRESH, that has shown to substantially outperform other state-of-the-art models such as fine-tuning pretrained language models like BioBERT and Bio_ClinicalBERT. Moreover, we designed a novel prompt to further improve the model performance by using the intrinsic connection between the 2 subtasks of eviction presence and period prediction. Finally, we used the Temperature Scaling-based Calibration on our KIRESH-Prompt method to avoid overconfidence issues arising from the imbalance dataset. RESULTS: KIRESH-Prompt substantially outperformed strong baseline models including fine-tuning the Bio_ClinicalBERT model to achieve 0.74672 MCC, 0.71153 Macro-F1, and 0.83396 Micro-F1 in predicting eviction period and 0.66827 MCC, 0.62734 Macro-F1, and 0.7863 Micro-F1 in predicting eviction presence. We also conducted additional experiments on a benchmark social determinants of health (SBDH) dataset to demonstrate the generalizability of our methods. CONCLUSION AND FUTURE WORK: KIRESH-Prompt has substantially improved eviction status classification. We plan to deploy KIRESH-Prompt to the VHA EHRs as an eviction surveillance system to help address the US Veterans' housing insecurity.

Associations Between Natural Language Processing-Enriched Social Determinants of Health and Suicide Death Among US Veterans.

Importance: Social determinants of health (SDOHs) are known to be associated with increased risk of suicidal behaviors, but few studies use SDOHs from unstructured electronic health record notes. Objective: To investigate associations between veterans' death by suicide and recent SDOHs, identified using structured and unstructured data. Design, Setting, and Participants: This nested case-control study included veterans who received care under the US Veterans Health Administration from October 1, 2010, to September 30, 2015. A natural language processing (NLP) system was developed to extract SDOHs from unstructured clinical notes. Structured data yielded 6 SDOHs (ie, social or familial problems, employment or financial problems, housing instability, legal problems, violence, and nonspecific psychosocial needs), NLP on unstructured data yielded 8 SDOHs (social isolation, job or financial insecurity, housing instability, legal problems, barriers to care, violence, transition of care, and food insecurity), and combining them yielded 9 SDOHs. Data were analyzed in May 2022. Exposures: Occurrence of SDOHs over a maximum span of 2 years compared with no occurrence of SDOH. Main Outcomes and Measures: Cases of suicide death were matched with 4 controls on birth year, cohort entry date, sex, and duration of follow-up. Suicide was ascertained by National Death Index, and patients were followed up for up to 2 years after cohort entry with a study end date of September 30, 2015. Adjusted odds ratios (aORs) and 95% CIs were estimated using conditional logistic regression. Results: Of 6 122 785 veterans, 8821 committed suicide during 23 725 382 person-years of follow-up (incidence rate 37.18 per 100 000 person-years). These 8821 veterans were matched with 35 284 control participants. The cohort was mostly male (42 540 [96.45%]) and White (34 930 [79.20%]), with 6227 (14.12%) Black veterans. The mean (SD) age was 58.64 (17.41) years. Across the 5 common SDOHs, NLP-extracted SDOH, on average, retained 49.92% of structured SDOHs and covered 80.03% of all SDOH occurrences. SDOHs, obtained by structured data and/or NLP, were significantly associated with increased risk of suicide. The 3 SDOHs with the largest effect sizes were legal problems (aOR, 2.66; 95% CI, 2.46-2.89), violence (aOR, 2.12; 95% CI, 1.98-2.27), and nonspecific psychosocial needs (aOR, 2.07; 95% CI, 1.92-2.23), when obtained by combining structured data and NLP. Conclusions and Relevance: In this study, NLP-extracted SDOHs, with and without structured SDOHs, were associated with increased risk of suicide among veterans, suggesting the potential utility of NLP in public health studies.

Clinical pharmacy practitioners' semi-visible labor: building referral relationships in interprofessional collaborative care.

Clinical pharmacy practitioners (CPP) in the Veterans Health Administration (VHA) prescribe medications and help manage chronic conditions such as diabetes, and they are increasingly working as part of interprofessional clinical teams. The challenges of integrating a new role in a clinical team are documented, but we know less about strategies new healthcare providers use to overcome these challenges. We studied how clinical pharmacy practitioners integrated into clinical teams. We conducted telephone interviews with clinical pharmacy practitioners (n = 53) and members of their clinical teams (n = 74), which were recorded, transcribed, and coded for concepts and themes. We identified four major themes. We found CPP perceived VHA as a "safe haven" for interprofessional care but found it necessary to build other prescribers' trust and confidence in their clinical skills to establish the referral relationships they needed for full integration. To facilitate their integration, CPP engaged in relational, untracked labor, which we characterize as semi-visible labor. While both CPP and clinical team members perceived CPPs' semi-visible labor as vital for implementing and maintaining strong interprofessional collaborations, such labor may be unsustainable as a long-term strategy for integrating CPP in clinical teams.

Social Stressors and Health Among Older Transgender and Gender Diverse Veterans.

Purpose: Health disparities in transgender and gender diverse (TGD) veterans compared with cisgender veterans have been documented. However, there is a paucity of literature focused on older TGD veterans. We assessed health conditions and social stressors in older TGD veterans compared with matched cisgender veterans. Methods: Using gender identity disorder diagnosis codes, we identified 1244 TGD veterans (65+ years of age) receiving care in the Veterans Health Administration (VHA) from 2006 to 2018. These TGD veterans were then matched to 3732 cisgender veterans based on age, VHA site, and date of care in VHA. Results: In adjusted models, TGD veterans compared with cisgender veterans were less likely to have alcohol use disorder (adjusted odds ratio [AOR; 95% confidence interval]: [0.70; 0.58-0.85]), drug use disorder (0.59; 0.47-0.74), tobacco use (0.75; 0.65-0.86), and anxiety (0.74; 0.62-0.90). However, compared with cisgender veterans, TGD veterans were more likely to experience depression (1.63; 1.39-1.93), Alzheimer's disease (8.95; 4.25-18.83), cancer (1.83; 1.56-2.14), violence (1.82; 1.14-2.91), social/familial problems (2.45; 1.99-3.02), lack of access to care/transportation (2.23; 1.48-3.37), and military sexual trauma (2.59; 1.93-3.46). Furthermore, compared with cisgender veterans, TGD veterans were more likely to have documentation of a higher count of social stressors: 1 or more stressors (1.64; 1.38-1.95) and 2 or more stressors (1.22; 1.01-1.49). Conclusion: Despite significant disparities in social stressors and health conditions compared with cisgender veterans, TGD veterans had a lower likelihood of substance use and anxiety. Interventions are needed to mitigate social stressors and improve health among the older TGD veteran population.

Characterizing patient attitudes and beliefs towards testosterone therapy in Veterans Affairs: A qualitative study.

OBJECTIVE: We examined patient attitudes and beliefs and provider perspectives on patients' attitudes and beliefs towards testosterone therapy in Veterans Affairs (VA). METHODS: We used a thematic analysis approach to understand variation in patient attitudes and beliefs towards testosterone at six VA sites with high and low levels of testosterone prescribing in VA. Semi-structured phone interviews with 18 patients and 22 providers at these sites were transcribed and coded using a priori theoretical constructs and emergent themes. A cross-case matrix of coded data was used to evaluate themes related to patient-level factors. RESULTS: Patients' beliefs toward testosterone did not differ across sites. Patients, not providers, generally initiated conversations about testosterone. We identified five key domains related to patient beliefs and provider perceived patient beliefs towards testosterone: reasons for initiating testosterone, patient information sources and expectations about testosterone, receptivity towards discontinuation of testosterone, patient/provider engagement in information sharing, and self-advocacy by the patients in decision-making. CONCLUSIONS: Patient factors play an important role in testosterone prescribing decisions. PRACTICE IMPLICATIONS: By considering these patient factors, providers can potentially help create a partnership with patients and foster shared decision-making for testosterone and other, similar medications.

Introducing clinical pharmacy specialists into interprofessional primary care teams: Assessing pharmacists' team integration and access to care for rural patients.

ABSTRACT: Clinical pharmacy specialists (CPS) were deployed nationally to improve care access and relieve provider burden in primary care.The aim of this study was to assess CPS integration in primary care and the Clinical Pharmacy Specialist Rural Veteran Access (CRVA) initiative's effectiveness in improving access.Concurrent embedded mixed-methods evaluation of participating CRVA CPS and their clinical team members (primary care providers, others).Health care providers on primary care teams in Veterans Health Administration (VHA).Perceived CPS integration in comprehensive medication management assessed using the MUPM and semi-structured interviews, and access measured with patient encounter data.There were 496,323 medical encounters with CPS in primary care over a 3-year period. One hundred twenty-four CPS and 1177 other clinical team members responded to a self-administered web-based questionnaire, with semi-structured interviews completed by 22 CPS and clinicians. Survey results indicated that all clinical provider groups rank CPS as making major contributions to CMM. CPS ranked themselves as contributing more to CMM than did their physician team members. CPS reported higher job satisfaction, less burn out, and better role fit; but CPS gave lower scores for communication and decision making as clinic organizational attributes. Themes in provider interviews focused on value of CPS in teams, relieving provider burden, facilitators to integration, and team communication issues.This evaluation indicates good integration of CPS on primary care teams as perceived by other team members despite some communication and role clarification challenges. CPS may play an important role in improving access to primary care.

Validating Data-Driven Methods for Identifying Transgender Individuals in the Veterans Health Administration of the US Department of Veterans Affairs.

We sought to operationalize and validate data-driven approaches for identifying transgender individuals in the Veterans Health Administration (VHA) of the US Department of Veterans Affairs (VA) through a retrospective analysis using VA administrative data from 2006-2018. Besides diagnoses of gender identity disorder (GID), a combination of non-GID data elements was used to identify potentially transgender veterans, including 1) an International Classification of Diseases (Ninth or Tenth Revision) code of endocrine disorder, unspecified or not otherwise specified; 2) receipt of sex hormones not associated with the sex documented in the veteran's records (gender-affirming hormone therapy); and 3) a change in the veteran's administratively recorded sex. Both GID and non-GID data elements were applied to a sample of 13,233,529 veterans utilizing the VHA of the VA between January 2006 and December 2018. We identified 10,769 potentially transgender veterans. Based on a high positive predictive value for GID-coded veterans (83%, 95% confidence interval: 77, 89) versus non-GID-coded veterans (2%, 95% confidence interval: 1, 11) from chart review validation, the final analytical sample comprised only veterans with a GID diagnosis code (n = 9,608). In the absence of self-identified gender identity, findings suggest that relying entirely on GID diagnosis codes is the most reliable approach for identifying transgender individuals in the VHA of the VA.

Clinical Pharmacist Integration Into Veterans' Primary Care: Team Members Perspectives.

BACKGROUND: With the restructuring of primary care into patient-centered medical homes (PCMH), researchers have described role transformations that accompany the formation of core primary care teamlets (eg, primary care provider, registered nurse care manager, licensed practical nurse, medical support assistant). However, few studies offer insight into how primary care teamlets, once established, integrate additional extended team members, and the factors that influence the quality of their integration. METHODS: We examine the process of integrating Clinical Pharmacy Specialists (CPS) into primary care teams in the Veterans Health Administration (VHA). We conducted semi-structured interviews with CPS (n = 6) and clinical team members (n = 16) and performed a thematic analysis of interview transcripts. RESULTS: We characterize 2 ways CPS are integrated into primary care teamlets: in consultative roles and collaborative roles. CPS may be limited to consultative roles by team members' misconceptions about their competencies (ie, if CPS are perceived to handle only medication-related issues like refills) and by primary care providers' opinions about distributing responsibilities for patient care. Over time, teams may correct misconceptions and integrate the CPS in a more collaborative role (ie, CPS helps manage disease states with comprehensive medication management). CONCLUSIONS: CPS integrated into collaborative roles may have more opportunities to optimize their contributions to primary care, underscoring the importance of clarifying roles as part of adequately integrating advanced practitioners in interprofessional teams.

Impact of Electronic Consultation on Timeliness and Guideline Concordance of Workups Leading to Thyroid Nodule Fine-Needle Aspiration Biopsy.

OBJECTIVE: Electronic consultations (e-consults) are commonly used to obtain endocrinology input on clinical questions without a face-to-face visit, but sparse data exist on the resultant quality of care for specific conditions. We examined workups resulting in a thyroid nodule fine-needle aspiration (FNA) biopsy to investigate whether endocrinology e-consults were more timely and similarly guideline-concordant compared with endocrinology face-to-face visits and whether endocrinology e-consults were more guideline-concordant compared with workups without endocrinology input. METHODS: We retrospectively reviewed charts of 302 thyroid FNA biopsies conducted in the Veterans Affairs health system between May 1, 2017, and February 4, 2020 (e-consult, n = 99; face-to-face visit, n = 100; no endocrinology input, n = 103). We used t tests to compare timeliness, χ2 tests to compare the proportion of guideline-concordant workups, and multivariable linear and logistic models to control for demographic factors. RESULTS: FNAs preceded by an endocrinology e-consult had more timely workups compared with those preceded by endocrinology face-to-face visits in terms of days elapsed between referral and FNA biopsy (geometric mean 44.7 days vs 61.7 days, P = .01). The difference in the summary measure of guideline concordance across groups was not statistically significant (P =.38). CONCLUSION: E-consults were faster than face-to-face consults and similarly guideline-concordant compared with both face-to-face consults and no endocrinology input for workups resulting in FNA. Decisions about the appropriate use of e-consults for thyroid nodules should take into account these data while also considering the potential benefits of direct patient-endocrinologist interaction for complex situations.

Beneficial association of angiotensin-converting enzyme inhibitors and statins on the occurrence of possible Alzheimer's disease after traumatic brain injury.

BACKGROUND: Pathological analysis of brain tissue from animals and humans with a history of traumatic brain injury (TBI) suggests that TBI could be one of the risk factors facilitating onset of dementia with possible Alzheimer's disease (AD), but medications to prevent or delay AD onset are not yet available. METHODS: This study explores four medication classes (angiotensin-converting enzyme inhibitors (ACEI), beta blockers, metformin, and statins) approved by the Food and Drug Administration (FDA) for other indications and evaluates their influence when used in combination on the risk of possible AD development for patients with a history of TBI. We identified patients with history of TBI from an existing Department of Veterans Affairs (VA) national database. Among 1,660,151 veterans who used VA services between the ages of 50 to 89 years old, we analyzed 733,920 patients, including 15,450 patients with a history of TBI and 718,470 non-TBI patients. The TBI patients were followed for up to 18.5 years, with an average of 7.7 ± 4.7 years, and onset of dementia with possible AD was recorded based on International Statistical Classification of Diseases (ICD) 9 or 10 codes. The effect of TBI on possible AD development was evaluated by multivariable logistic regression models adjusted by age, gender, race, and other comorbidities. The association of ACEI, beta blockers, metformin, statins, and combinations of these agents over time from the first occurrence of TBI to possible AD onset was assessed using Cox proportional hazard models adjusted for demographics and comorbidities. RESULTS: Veterans with at least two TBI occurrences by claims data were 25% (odds ratio (OR) = 1.25, 95% confidence intervals (CI) (1.13, 1.37)) more likely to develop dementia with possible AD, compared to those with no record of TBI. In multivariable logistic regression models (propensity score weighted or adjusted), veterans taking a combination of ACEI and statins had reduced risk in developing possible AD after suffering TBI, and use of this medication class combination was associated with a longer period between TBI occurring and dementia with possible AD onset, compared to patients who took statins alone or did not take any of the four target drugs after TBI. CONCLUSIONS: The combination of ACEI and statins significantly lowered the risk of development of dementia with possible AD in a national cohort of people with a history of TBI, thus supporting a clinical approach to lowering the risk of dementia with possible AD.

Health Outcomes Among Long-term Opioid Users With Testosterone Prescription in the Veterans Health Administration.

Importance: Androgen deficiency is common among male opioid users, and opioid use has emerged as a common antecedent of testosterone treatment. The long-term health outcomes associated with testosterone therapy remain unknown, however. Objective: To compare health outcomes between long-term opioid users with testosterone deficiency who filled testosterone prescriptions and those with the same condition but who did not receive testosterone treatment. Design, Setting, and Participants: This cohort study focused on men in the care of the Veterans Health Administration (VHA) facilities throughout the United States from October 1, 2008, to September 30, 2014. It included male veterans who were long-term opioid users, had low testosterone levels (<300 ng/dL), and received either a testosterone prescription or any other prescription. It excluded male patients with HIV infection, gender dysphoria, or prostate cancer and those who received testosterone in fiscal year 2008. Data were analyzed from April 1, 2017, to April 30, 2019. Exposure: Prescription for testosterone. Main Outcomes and Measures: All-cause mortality and incidence of major adverse cardiovascular events (MACE), vertebral or femoral fractures, and anemia during the 6-year follow-up through September 30, 2015. Results: After exclusions, 21 272 long-term opioid users (mean [SD] age, 53 [10] years; n = 16 689 [78.5%] white) with low total or free testosterone levels were included for analysis, of whom 14 121 (66.4%) received testosterone and 7151 (33.6%) did not. At baseline, compared with opioid users who did not receive testosterone, long-term opioid users who received testosterone treatment were more likely to have obesity (43.7% vs 49.0%; P < .001), hyperlipidemia (43.0% vs 48.8%; P < .001), and hypertension (53.9% vs 55.2%; P = .07) but had lower prevalence of coronary artery disease (15.9% vs 12.9%; P < .001) and stroke (2.4% vs 1.3%; P < .001). After adjusting for covariates, opioid users who received testosterone had significantly lower all-cause mortality (hazard ratio [HR] = 0.51; 95% CI, 0.42-0.61) and lower incidence of MACE (HR = 0.58; 95% CI, 0.51-0.67), femoral or hip fractures (HR = 0.68; 95% CI, 0.48-0.96), and anemia (HR = 0.73; 95% CI, 0.68-0.79) during the follow-up period of up to 6 years, compared with their counterparts without a testosterone prescription. In covariate-adjusted models, men who received opioids plus testosterone were more likely to have resolved anemia compared with those who received opioids only during the 6-year follow-up (HR = 1.16; 95% CI, 1.02-1.31). Similar results were obtained in propensity score-matched models and when analyses were restricted to opioid users with noncancer pain or those who did not receive glucocorticoids. Conclusions and Relevance: This study found that, in the VHA system, male long-term opioid users with testosterone deficiency who were treated with opioid and testosterone medications had significantly lower all-cause mortality and significantly lower incidence of MACE, femoral or hip fractures, and anemia after a multiyear follow-up. These results warrant confirmation through a randomized clinical trial to ascertain the efficacy of testosterone in improving health outcomes for opioid users with androgen deficiency.

Understanding the Context of High- and Low-Testosterone Prescribing Facilities in the Veterans Health Administration (VHA): a Qualitative Study.

BACKGROUND: Inappropriate testosterone use and variations in testosterone prescribing patterns exist in the Veterans Health Administration (VHA) despite the presence of clinical guidelines. OBJECTIVE: We examined system and clinician factors that contribute to patterns of potentially inappropriate testosterone prescribing in VHA. DESIGN: Qualitative study using a positive deviance approach to understand practice variation in high- and low-testosterone prescribing sites. PARTICIPANTS: Twenty-two interview participants included primary care and specialty clinicians, key opinion leaders, and pharmacists at 3 high- and 3 low-testosterone prescribing sites. APPROACH: Semi-structured phone interviews were conducted, transcribed, and coded using a priori theoretical constructs and emergent themes. Case studies were developed for each site and a cross-case matrix was created to evaluate variation across high- and low-prescribing sites. KEY RESULTS: We identified four system-level domains related to variation in testosterone prescribing: organizational structures and processes specific to testosterone prescribing, availability of local guidance on testosterone prescribing, well-defined dissemination process for local testosterone polices, and engagement in best practices related to testosterone prescribing. Two clinician-level domains were also identified, specifically, structured initial testosterone prescribing process and specified follow-up testosterone prescribing process. High- and low-testosterone prescribing sites systematically varied in the four system-level domains, while the clinician-level domains looked similar across all sites. The third high-prescribing site was unusual in that it exhibited the four domains similar to the 3 low-prescribing sites at the time of our visit. This site had greatly reduced its prescribing of testosterone in the interim. CONCLUSIONS: Findings suggest that local organizational factors play an important role in influencing prescribing. Sites have the potential to transform their utilization patterns by providing access to specialty care expertise, an electronic health record-based system to facilitate guideline-concordant prescribing, well-defined dissemination processes for information, guidance from multiple sources, and clarity regarding best practices for prescribing.

Patient Characteristics Associated with Receipt of Prescription Weight-Management Medications Among Veterans Participating in MOVE!

OBJECTIVE: Weight-management medications (WMM) are recommended for the treatment of obesity. This study examined characteristics associated with initial receipt of WMM among eligible veterans in the first year following enrollment in the Veterans Health Administration (VHA) MOVE! behavioral weight-management program. METHODS: We conducted a retrospective cohort study of VHA patients with obesity or overweight and obesity-related comorbidities who enrolled in MOVE! from October 2013 to September 2016 (N = 153,939). Multivariable logistic regression models estimated predictors of having a filled prescription for WMM and for orlistat. RESULTS: A total of 1.1% of these veterans received WMM. The most common WMM included orlistat (70.4%), phentermine/topiramate (11.2%), and bupropion/naltrexone (9.7%). Female sex, higher BMI, obstructive sleep apnea, osteoarthritis, depression, lower back pain, and alcohol abuse were associated with greater odds of use of WMM, whereas age over 65 years, Hispanic ethnicity, and required co-payments were associated with lower odds. Among patients receiving WMM, older age, black race, female sex, higher BMI, cardiovascular disease, lower back pain, and congestive heart failure were associated with use of orlistat versus any other WMM. CONCLUSIONS: Of patients engaged in MOVE! in the VHA, 1.1% received WMM. WMM are underutilized among veterans. Additional research is needed to understand barriers to incorporating WMM into comprehensive obesity treatment plans.