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Kirsha S Gordon,1,2 Eugenia Buta,3 Mandi L Pratt-Chapman,4 Cynthia A Brandt,1,3,5 Ralitza Gueorguieva,3 Allison R Warren,6,7 T Elizabeth Workman,8,9 Qing Zeng-Treitler,8,9 Joseph L Goulet1,5 1Research, VA Connecticut Healthcare System, West Haven, CT, USA; 2General Internal Medicine, Yale School of Medicine, New Haven, CT, USA; 3Department of Biostatistics, Yale School of Public Health, New Haven, CT, USA; 4Department of Medicine and The George Washington Cancer Center, School of Medicine and Health Sciences, The George Washington University, Washington, DC, USA; 5Department of Emergency Medicine, Yale School of Medicine, New Haven, CT, USA; 6Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA; 7Pain Research, Informatics, Multi-Morbidities, and Education Center, VA Connecticut Healthcare System, West Haven, CT, USA; 8Biomedical Informatics Center, School of Medicine and Health Sciences, The George Washington University, Washington, DC, USA; 9Research, Washington VA Medical Center, Washington, DC, USACorrespondence: Kirsha S Gordon, VA Connecticut Healthcare System, Bldg. 35A, 950 Campbell Avenue, West Haven, CT, 06516, USA, Tel +1 203-932-5711, Email kirsha.gordon2@va.govBackground: Pain assessment is performed in many healthcare systems, such as the Veterans Health Administration, but prior studies have not assessed whether pain screening varies in sexual and gender minority populations that include individuals who identify as lesbian, gay, bisexual, and/or transgender (LGBT).Objective: The purpose of this study was to evaluate pain screening and reported pain of LGBT Veterans compared to non-LGBT Veterans.Methods: Using a retrospective cross-sectional cohort, data from the Corporate Data Warehouse, a national repository with clinical/administrative data, were analyzed. Veterans were classified as LGBT using natural language processing. We used a robust Poisson model to examine the association between LGBT status and binary outcomes of pain screening, any pain, and persistent pain within one year of entry in the cohort. All models were adjusted for demographics, mental health, substance use, musculoskeletal disorder(s), and number of clinic visits.Results: There were 1,149,486 Veterans (218,154 (19%) classified as LGBT) in our study. Among LGBT Veterans, 94% were screened for pain compared to 89% among those not classified as LGBT (non-LGBT) Veterans. In adjusted models, LGBT Veterans’ probability of being screened for pain compared to non-LGBT Veterans was 2.5% higher (95% CI 2.3%, 2.6%); risk of any pain was 2.1% lower (95% CI 1.6%, 2.6%); and there was no significant difference between LGBT and non-LGBT Veterans in persistent pain (RR = 1.00, 95% CI (0.99, 1.01), p = 0.88).Conclusions: In a nationwide sample, LGBT Veterans were more likely to be screened for pain but had lower self-reported pain scores, though adjusted differences were small. It was notable that transgender and Black Veterans reported the greatest pain. Reasons for these findings require further investigation.Keywords: LGBT, pain, screening, persistent pain, Veterans

Laura D Wandner,1,2 Brenda T Fenton,3 Joseph L Goulet,3,4 Constance M Carroll,5 Alicia Heapy,3,6 Diana M Higgins,7,8 Matthew J Bair,9– 11 Friedhelm Sandbrink,12,13 Robert D Kerns3,6,14,15 1National Institute of Neurological Disorders and Stroke (NINDS), National Institutes of Health (NIH), Bethesda, MD, USA; 2Department of Anesthesiology, Walter Reed National Military Medical Center, Bethesda, MD, USA; 3Pain Research, Informatics, Multimorbidities and Education (PRIME) Center, VA Connecticut Healthcare System, West Haven, CT, USA; 4Department of Emergency Medicine, Yale School of Medicine, New Haven, CT, USA; 5Yale University AIDS Program, New Haven, CT, USA; 6Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA; 7VA Boston Healthcare System, Boston, MA, USA; 8Department of Psychiatry, Boston University School of Medicine, Boston, MA, USA; 9VA HSR&D Center for Health Information and Communication, Roudebush VA Medical Center, Indianapolis, IN, USA; 10Division of General Internal Medicine and Geriatrics, Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, USA; 11Regenstrief Institute, Indianapolis, IN, USA; 12Department of Neurology, VA Medical Center, Washington, DC, USA; 13Department of Neurology, Georgetown University, Washington, DC, USA; 14Department of Neurology, Yale School of Medicine, New Haven, CT, USA; 15Department of Psychology, Yale University, New Haven, CT, USACorrespondence: Laura D WandnerNational Institutes of Health (NIH), 10 Center Dr, Bethesda, MD 20814, USAEmail Laura.Wandner@nih.govObjective: Spinal cord stimulator (SCS) implantation is used to treat chronic pain, including painful musculoskeletal disorders (MSDs). This study examined the characteristics and outcomes of veterans receiving SCSs in Veterans Health Administration (VHA) facilities.Methods: The sample was drawn from the MSD Cohort and limited to three MSDs with the highest number of implants (N=815,475). There were 1490 veterans with these conditions who received SCS implants from 2000 to 2012, of which 95% (n=1414) had pain intensity numeric rating scale (NRS) data both pre- and post-implant.Results: Veterans who were 35– 44 years old, White, and married reported higher pain NRS ratings, had comorbid inclusion diagnoses, had no medical comorbidities, had a BMI 25– 29.9, or had a depressive disorder diagnosis were more likely to receive an SCS. Veterans 55+ years old or with an alcohol or substance use disorder were less likely to receive an SCS. Over 90% of those receiving an SCS were prescribed opioids in the year prior to implant. Veterans who had a presurgical pain score ≥ 4 had a clinically meaningful decrease in their pain score in the year following their 90-day recovery period (Day 91– 456) greater than expected by chance alone. Similarly, there was a significant decrease in the percent of veterans receiving opioid therapy (92.4% vs 86.6%, p< 0.0001) and a significant overall decrease in opioid dose [morphine equivalent dose per day (MEDD) =26.48 vs MEDD=22.59, p< 0.0003].Conclusion: Results offer evidence of benefit for some veterans with the examined conditions. Given known risks of opioid therapy, the reduction is an important potential benefit of SCS implants.Keywords: spinal cord stimulator, musculoskeletal disorders, veterans, outcomes, opioids

Julie A Womack,1,2 Gina Novick,1 Joseph L Goulet2 1Yale School of Nursing, 2Veterans Affairs Connecticut Health Care System, West Haven Veterans Administration Medical Center, West Haven, CT, USA Background: While extensive research has explored pharmacokinetic interactions between antiretroviral therapy (ART) and hormonal contraception, few studies have examined whether these interactions affect clinical outcomes. To address this gap, we conducted a systematic review of the literature that describes hormonal contraceptive use among HIV-infected women who also use ART, focusing on papers that address clinically important outcomes such as pregnancy or ovulation. Methods/design: An electronic literature search was conducted of PubMed and Ovid to identify all articles that addressed hormonal contraception co-administered with ART published in English between January 1, 1990 and October 30, 2014. In addition, manual reference checks of all articles of interest were conducted to identify articles not captured in the electronic search. Our search criteria identified 405 records. The title and abstract of data reports retrieved via the search were reviewed to identify potential articles of interest. Those with any indication of the main outcomes of interest were considered for inclusion (N=162). Abstracts were then reviewed to identify those manuscripts that would merit a review of the full-text version (N=64). Eight articles that addressed the outcomes of interest were identified. The Newcastle-Ottawa Scale was used to assess the quality of these articles. Results: The studies reviewed were limited in a number of ways that precluded their providing a rigorous assessment of the efficacy of contraception when co-administered with ART. Discussion: None of the studies were of adequate quality to provide the guidance that providers and HIV-infected women need when considering contraceptive options. High-quality, well-powered studies are required to address the efficacy of hormonal contraception when co-administered with ART. Keywords: hormonal contraception, HIV, antiretroviral therapy, systematic review

ObjectivesThe contribution of depression to mortality in adults with and without HIV infection is unclear. We hypothesized that depression increases mortality risk and that this association is stronger among those with HIV infection.MethodsVeterans Aging Cohort Study (VACS) data were analysed from the first clinic visit on or after 1 April 2003 (baseline) to 30 September 2015. Depression definitions were: (1) major depressive disorder defined using International Classification of Diseases, Ninth Revision (ICD-9) codes; (2) depressive symptoms defined as Patient Health Questionnaire (PHQ)-9 scores ≥ 10. The outcome was all-cause mortality. Covariates were demographics, comorbid conditions and health behaviours.ResultsAmong 129 140 eligible participants, 30% had HIV infection, 16% had a major depressive disorder diagnosis, and 24% died over a median follow-up time of 11 years. The death rate was 25.3 [95% confidence interval (CI) 25.0-25.6] deaths per 1000 person-years. Major depressive disorder was associated with mortality [hazard ratio (HR) 1.04; 95% CI 1.01, 1.07]. This association was modified by HIV status (interaction P-value = 0.02). In HIV-stratified analyses, depression was significantly associated with mortality among HIV-uninfected veterans but not among those with HIV infection. Among those with PHQ-9 data (n = 7372), 50% had HIV infection, 22% had PHQ-9 scores ≥ 10, and 28% died over a median follow-up time of 12 years. The death rate was 27.3 (95% CI 26.1-28.5) per 1000 person-years. Depressive symptoms were associated with mortality (HR 1.16; 95% CI 1.04, 1.28). This association was modified by HIV status (interaction P-value = 0.05). In HIV-stratified analyses, depressive symptoms were significantly associated with mortality among veterans with HIV infection but not among those without HIV infection.ConclusionsDepression was associated with all-cause mortality. This association was modified by HIV status and method of depression ascertainment.

Background: Veterans of Operations Enduring Freedom and Iraqi Freedom (OEF/OIF) may experience significant stress during military service that can have lingering effects. Little is known about mental health problems or treatment among pregnant OEF/OIF women veterans. The aim of this study was to determine the prevalence of mental health problems among veterans who received pregnancy-related care in the Veterans Health Administration (VHA) system. Methods: Data from the Defense Manpower Data Center (DMDC) deployment roster of military discharges from October 1, 2001, through April 30, 2008, were used to assemble an administrative cohort of female OEF/OIF veterans enrolled in care at the VHA ( n = 43,078). Pregnancy and mental health conditions were quantified according to ICD-9-CM codes and specifications. Mental healthcare use and prenatal care were assessed by analyzing VHA stop codes. Results: During the study period, 2966 (7%) women received at least one episode of pregnancy-related care, and 32% of veterans with a pregnancy and 21% without a pregnancy received one or more mental health diagnoses ( p < 0.0001). Veterans with a pregnancy were twice as likely to have a diagnosis of depression, anxiety, posttraumatic stress disorder (PTSD), bipolar disorder, or schizophrenia as those without a pregnancy. Conclusions: Women OEF/OIF veterans commonly experience mental health problems after military service. The burden of mental health conditions is higher among women with an identified instance of pregnancy than among those without. Because women do not receive pregnancy care at the VHA, however, little is known about ongoing concomitant prenatal and mental healthcare or about pregnancy outcomes among these women veterans. [ABSTRACT FROM AUTHOR]

Background: Electronic medical records systems (EMR) contain many directly analyzable data fields that may reduce the need for extensive chart review, thus allowing for performance measures to be assessed on a larger proportion of patients in care.Objective: This study sought to determine the extent to which selected chart review-based clinical performance measures could be accurately replicated using readily available and directly analyzable EMR data.Methods: A cross-sectional study using full chart review results from the Veterans Health Administration's External Peer Review Program (EPRP) was merged to EMR data.Results: Over 80% of the data on these selected measures found in chart review was available in a directly analyzable form in the EMR. The extent of missing EMR data varied by site of care (P<0.01). Among patients on whom both sources of data were available, we found a high degree of correlation between the 2 sources in the measures assessed (correlations of 0.89-0.98) and in the concordance between the measures using performance cut points (kappa: 0.86-0.99). Furthermore, there was little evidence of bias; the differences in values were not clinically meaningful (difference of 0.9 mg/dL for low-density lipoprotein cholesterol, 1.2 mm Hg for systolic blood pressure, 0.3 mm Hg for diastolic, and no difference for HgbA1c).Conclusions: Directly analyzable data fields in the EMR can accurately reproduce selected EPRP measures on most patients. We found no evidence of systematic differences in performance values among these with and without directly analyzable data in the EMR. [ABSTRACT FROM AUTHOR]

The objective of this study was to evaluate a medical outreach program that targets unstably housed human immunodeficiency virus (HIV)-infected individuals. One hundred sixty-one cross-sectional interviews were conducted prior to and after establishing a medical outreach program in single room occupancy hotels. Participants' mean age was 42 years; 58% were men, 95% minority, and 59% active substance users. The postintervention group was more likely to have a regular health care provider (p = 0.02), and take Pneumocystis carinii pneumonia prophylaxis (p = 0.03) and antiretroviral medication (p = 0.02) than the pre-intervention group. Quality of care was more positively perceived in the postintervention group (p = 0.001). On multivariate analysis the postintervention group remained more likely to have a regular provider (OR = 5.3, p = 0.02), take antiretroviral medication (OR = 5.7, p = 0.02), and have a better perception of quality of care (OR = 4.9, p = 0.003). A medical outreach program targeting unstably housed HIV-infected individuals was associated with increased use of regular medical care and improved perceived quality of care. [ABSTRACT FROM AUTHOR]

Purpose: The growing presence of female veterans within the Department of Veterans Affairs (VA) health care system highlights the need to assess the quality of and access to gender-specific care for menopause. We assessed the use of hormone therapy (HT) among female veterans before and after the release of the Women's Health Initiative clinical trial results and evaluated whether the structure of women's health care services within the VA system affects the use of HT.Methods: We identified all female veterans using HT in 2001 by using the VA pharmacy benefits management database and administrative data. Subjects identified as using HT in 2001 were evaluated to determine estrogen use status in 2003 and 2004. We calculated the change in HT use over time and performed multivariate analyses to identify patient and utilization determinants of HT discontinuation.Results: In 2001, 36,222 female veterans used HT. By 2004, 23,924 (66%) had discontinued HT. Subjects who had used a VA women's clinic or were younger (40-54 years of age) were significantly less likely to discontinue HT. However, Hispanic ethnicity, African American race, and clinical diagnoses such as heart disease and mastectomy were significantly associated with discontinuation.Conclusion: Discontinuation rates in the VA system parallel those in the private sector. However, patients with any use of VA women's clinics were less likely to discontinue HT, indicating a practice setting variation that may indicate either more specific care or differential implementation of the new HT guidelines. Further research is warranted to assess whether a disparity occurs according to practice setting (or provider factors) with rapid shifts in guidelines. [ABSTRACT FROM AUTHOR]

Background: High suicide rates are documented among persons with bipolar disorder diagnoses and pain diagnoses, but few studies have examined the association of pain with suicide mortality in individuals with comorbid pain and bipolar disorders. This study assessed the association of pain screening and pain severity with suicide mortality among veterans with comorbid bipolar and musculoskeletal disorder (MSD) diagnoses., Methods: A retrospective cohort study was conducted on 168,021 patients within the Veterans Health Administration (VHA) who received an MSD diagnosis from 2000 to 2015 and had a bipolar disorder diagnosis. Pain severity, comorbidities, demographics, and suicide mortality were extracted from VHA databases. Poisson regression examined relative risk of suicide by the presence pain screening and pain severity ratings., Results: Pain was assessed in 72.73 % of veterans. Suicide risk was greater in those not assessed (0.98 % versus 0.77 % in assessed group). However, this result did not persist after adjusting for covariates (RR = 1.06). Among those assessed, higher suicide risk was associated with moderate (RR = 1.10), severe pain (RR = 1.06), and no pain (reference) relative to mild pain (RR = 0.99). Major depression, substance use disorders, and prescribed opioids and benzodiazepines increased risk., Limitations: Data were obtained from medical records; diagnoses were not confirmed via formal assessment, and no information was available on actual medication use or purpose. Over 25 % of the sample were missing pain severity ratings, which could have affected results., Conclusions: Suicide risk factors among persons with bipolar disorder are complex and multifactorial. Providers should prioritize suicide prevention efforts following new onset or worsening pain., Competing Interests: Declaration of competing interest All authors have no conflicts of interest to declare., (Copyright © 2024. Published by Elsevier B.V.)

To examine whether complementary and integrative health approaches mitigate opioid prescriptions for pain and whether the relationship differs by post-dramatic stress disorder (PTSD) diagnosis, we followed 1,993,455 Veterans with musculoskeletal disorders during 2005-2017 using Veterans Healthcare Administration electronic health records. Complementary and integrative health (CIH) approaches were defined as ≥1 primary care visits for meditation, Yoga, and acupuncture etc using natural language processing. Opioid prescriptions were ascertained from pharmacy dispensing records. A propensity score was estimated and used to match one control Veteran to each CIH recipient. Over the 2-year follow-up period after the index diagnosis, 140,902 (7.1%) Veterans received ≥ 1 modalities. Among the matched analytic sample (272,296 Veterans), the likelihood of dispensing opioid prescriptions was significantly lower for Veterans in the CIH group than their controls [adjusted hazard ratio (aHR), 0.45 (95% Confidence Intervals (CI): 0.44-0.46)]. The association did not differ between Veterans with [aHR: 0.46 (95% CI: 0.45-0.47)] and without [aHR: 0.44 (95% CI: 0.43-0.45)] PTSD. In sensitivity analyses, the exposure group had 3.82 (95% CI: 3.76-3.87) months longer restricted mean survival time to opioid initiation, 2% (95% CI: 4%-1%) lower morphine equivalent and 17% lower total days' supply (95% CI: 18%-16%). The relationship remains significant but was attenuated after eliminating waiting time for the exposure group (aHR, 0.63 (95% CI: 0.62-0.64)). These observations suggest that CIH approaches may help reduce opioid prescriptions for Veterans with musculoskeletal disorders and related pain. The impact of the timing of receiving such approaches warrants further investigation. PERSPECTIVE: This article presents a quasi-experimental investigation into potential benefit of complementary and integrative health approaches (CIH) on de-prescribing opioids. The findings may potentially help clinicians who are seeking non-pharmacological alternative options to manage patient pain and opioid dependence"., Competing Interests: Declaration of Competing Interest The authors have no financial interests/personal relationships which may be considered as potential competing interests to declare., (Copyright © 2024. Published by Elsevier Inc.)

Objectives: To examine the associations of two measures of minority stress, non-affirmation minority stress and internalized transphobia, with subjective cognitive decline (SCD) among transgender and gender diverse (TGD) veterans., Method: We administered a cross-sectional survey from September 2022 to July 2023 to TGD veterans. The final analytic sample included 3,152 TGD veterans aged ≥45 years. We used a generalized linear model with quasi-Poisson distribution to calculate prevalence ratios (PR) and 95% confidence intervals (CIs) measuring the relationship between non-affirmation minority stress and internalized transphobia and past-year SCD., Results: The mean age was 61.3 years (SD = 9.7) and the majority (70%) identified as trans women or women. Overall, 27.2% ( n  = 857) reported SCD. Adjusted models revealed that TGD veterans who reported experiencing non-affirmation minority stress or internalized transphobia had greater risk of past-year SCD compared to those who did not report either stressor (aPR: 1.09, 95% CI: 1.04-1.15; aPR: 1.19, 95% CI: 1.12-1.27)., Conclusion: Our findings demonstrate that proximal and distal processes of stigma are associated with SCD among TGD veterans and underscore the need for addressing multiple types of discrimination. Above all, these results indicate the lasting sequelae of transphobia and need for systemic changes to prioritize the safety and welfare of TGD people.

Objective: People with HIV (PWH) are at an increased risk of suicide and death from unintentional causes compared with people living without HIV. Broadening the categorization of death from suicide to self-injurious unnatural death (SIUD) may better identify a more complete set of modifiable risk factors that could be targeted for prevention efforts among PWH., Design: We conducted a nested case-control study using data from the Veterans Aging Cohort Study (VACS), a longitudinal, observational cohort of Veterans from 2006-2015. A total of 5036 Veterans with HIV, of whom 461 died by SIUD, were included in the sample., Methods: SIUD was defined using the International Classification of Disease 10 th revision cause of death codes. Cases ( n  = 461) included individuals who died by SIUD (intentional, unintentional, and undetermined causes of death). Controls ( n  = 4575) were selected using incidence density sampling, matching on date of birth ± 1 year, race, sex, and HIV status. SIUD and suicide was estimated using conditional logistic regression., Results: A previous suicide attempt, a diagnosis of an affective disorder, recent use of benzodiazepines, psychiatric hospitalization, and living in the western US significantly increased the risk of suicide and SIUD. Risk factors that appear more important for SIUD than for suicide included a drug use disorder, alcohol use disorder, Hepatitis C, VACS Index 2.0, current smoking, and high pain levels (7-10)., Conclusion: Limiting studies to known suicides obscures the larger public health burden of excess deaths from self-injurious behavior. Our findings demonstrate the benefit of expanding the focus to SIUD for the identification of modifiable risk factors that could be targeted for treatment., (Copyright © 2024 Wolters Kluwer Health, Inc. All rights reserved.)

The present study describes intimate partner violence (IPV) perpetration and victimization alongside theoretically associated variables in a sample of lesbian, gay, and bisexual veterans. We conducted bivariate analyses (chi-square tests and independent t test) to examine whether the frequencies of IPV perpetration and victimization varied by demographic characteristics, military sexual trauma, alcohol use, and mental health symptoms. Out of the 69 lesbian, gay, and bisexual (LGB) veterans who answered the questions on IPV, 16 (23.2%) reported some form of IPV victimization in the past year, and 38 (55.1%) reported past-year perpetration. Among the 43 veterans who reported psychological IPV, roughly half (48.9%) reported bidirectional psychological IPV, 39.5% reported perpetration only, and 11.6% reported victimization only. LGB veterans who reported bidirectional psychological IPV in their relationships were younger and reported greater symptoms of posttraumatic stress disorder symptoms and depression. The results presented here call for universal screening of IPV perpetration and victimization to both accurately assess and ultimately intervene among all veterans. Inclusive interventions are needed for all genders and sexual orientations, specifically interventions that do not adhere to gendered assumptions of perpetrators and victims. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Objectives: Suicide risk is elevated in lesbian, gay, bisexual, and transgender (LGBT) individuals. Limited data on LGBT status in healthcare systems hinder our understanding of this risk. This study used natural language processing to extract LGBT status and a deep neural network (DNN) to examine suicidal death risk factors among US Veterans. Methods: Data on 8.8 million veterans with visits between 2010 and 2017 was used. A case-control study was performed, and suicide death risk was analyzed by a DNN. Feature impacts and interactions on the outcome were evaluated. Results: The crude suicide mortality rate was higher in LGBT patients. However, after adjusting for over 200 risk and protective factors, known LGBT status was associated with reduced risk compared to LGBT-Unknown status. Among LGBT patients, black, female, married, and older Veterans have a higher risk, while Veterans of various religions have a lower risk. Conclusion: Our results suggest that disclosed LGBT status is not directly associated with an increase suicide death risk, however, other factors (e.g., depression and anxiety caused by stigma) are associated with suicide death risks., Competing Interests: The authors declare that they do not have any conflicts of interest., (Copyright © 2024 Yin, Workman, Blosnich, Brandt, Skanderson, Shao, Goulet and Zeng-Treitler.)

Affecting an estimated 88 million Americans, prediabetes increases the risk for developing type 2 diabetes mellitus (T2DM), and independently, cardiovascular disease, retinopathy, nephropathy, and neuropathy. Nevertheless, little is known about the use of metformin for diabetes prevention among patients in the Veterans Health Administration, the largest integrated healthcare system in the U.S. This is a retrospective observational cohort study of the proportion of Veterans with incident prediabetes who were prescribed metformin at the Veterans Health Administration from October 2010 to September 2019. Among 1,059,605 Veterans with incident prediabetes, 12,009 (1.1%) were prescribed metformin during an average 3.4 years of observation after diagnosis. Metformin prescribing was marginally higher (1.6%) among those with body mass index (BMI) ≥35 kg/m 2 , age <60 years, HbA 1c ≥6.0%, or those with a history of gestational diabetes, all subgroups at a higher risk for progression to T2DM. In a multivariable model, metformin was more likely to be prescribed for those with BMI ≥35 kg/m 2 incidence rate ratio [IRR] 2.6 [95% confidence intervals (CI): 2.1-3.3], female sex IRR, 2.4 [95% CI: 1.8-3.3], HbA 1c ≥6% IRR, 1.93 [95% CI: 1.5-2.4], age <60 years IRR, 1.7 [95% CI: 1.3-2.3], hypertriglyceridemia IRR, 1.5 [95% CI: 1.2-1.9], hypertension IRR, 1.5 [95% CI: 1.1-2.1], Major Depressive Disorder IRR, 1.5 [95% CI: 1.1-2.0], or schizophrenia IRR, 2.1 [95% CI: 1.2-3.8]. Over 20% of Veterans with prediabetes attended a comprehensive structured lifestyle modification clinic or program. Among Veterans with prediabetes, metformin was prescribed to 1.1% overall, a proportion that marginally increased to 1.6% in the subset of individuals at highest risk for progression to T2DM., Competing Interests: Declaration of conflicting interestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

The rate of suicide among people with HIV (PWH) remains elevated compared to the general population. The aim of the study was to examine the association between a broad range of risk factors, HIV-specific risk factors, and suicide. We conducted a nested case-control study using data from the Veterans Aging Cohort Study (VACS) between 2006 and 2015. The risk of suicide was estimated using conditional logistic regression and models were stratified by HIV status. Most risk factors associated with suicide were similar between PWH and people without HIV; these included affective disorders, use of benzodiazepines, and mental health treatment. Among PWH, HIV-specific risk factors were not associated with suicide. A multiplicative interaction was observed between a diagnosis of HIV and a previous suicide attempt. Among PWH, a high prevalence of psychiatric, substance use disorders and multimorbidity contribute to the risk of suicide., (© 2023. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)

Background and Aims: In deep learning, a major difficulty in identifying suicidality and its risk factors in clinical notes is the lack of training samples given the small number of true positive instances among the number of patients screened. This paper describes a novel methodology that identifies suicidality in clinical notes by addressing this data sparsity issue through zero-shot learning. Our general aim was to develop a tool that leveraged zero-shot learning to effectively identify suicidality documentation in all types of clinical notes., Methods: US Veterans Affairs clinical notes served as data. The training data set label was determined using diagnostic codes of suicide attempt and self-harm. We used a base string associated with the target label of suicidality to provide auxiliary information by narrowing the positive training cases to those containing the base string. We trained a deep neural network by mapping the training documents' contents to a semantic space. For comparison, we trained another deep neural network using the identical training data set labels, and bag-of-words features., Results: The zero-shot learning model outperformed the baseline model in terms of area under the curve, sensitivity, specificity, and positive predictive value at multiple probability thresholds. In applying a 0.90 probability threshold, the methodology identified notes documenting suicidality but not associated with a relevant ICD-10-CM code, with 94% accuracy., Conclusion: This method can effectively identify suicidality without manual annotation., Competing Interests: The authors declare no conflict of interest., (© 2023 The Authors. Health Science Reports published by Wiley Periodicals LLC.)

Background: Complementary and integrative health (CIH) approaches have been recommended in national and international clinical guidelines for chronic pain management. We set out to determine whether exposure to CIH approaches is associated with pain care quality (PCQ) in the Veterans Health Administration (VHA) primary care setting. Methods: We followed a cohort of 62,721 Veterans with newly diagnosed musculoskeletal disorders between October 2016 and September 2017 over 1-year. PCQ scores were derived from primary care progress notes using natural language processing. CIH exposure was defined as documentation of acupuncture, chiropractic or massage therapies by providers. Propensity scores (PSs) were used to match one control for each Veteran with CIH exposure. Generalized estimating equations were used to examine associations between CIH exposure and PCQ scores, accounting for potential selection and confounding bias. Results: CIH was documented for 14,114 (22.5%) Veterans over 16,015 primary care clinic visits during the follow-up period. The CIH exposure group and the 1:1 PS-matched control group achieved superior balance on all measured baseline covariates, with standardized differences ranging from 0.000 to 0.045. CIH exposure was associated with an adjusted rate ratio (aRR) of 1.147 (95% confidence interval [CI]: 1.142, 1.151) on PCQ total score (mean: 8.36). Sensitivity analyses using an alternative PCQ scoring algorithm (aRR: 1.155; 95% CI: 1.150-1.160) and redefining CIH exposure by chiropractic alone (aRR: 1.118; 95% CI: 1.110-1.126) derived consistent results. Discussion : Our data suggest that incorporating CIH approaches may reflect higher overall quality of care for patients with musculoskeletal pain seen in primary care settings, supporting VHA initiatives and the Declaration of Astana to build comprehensive, sustainable primary care capacity for pain management. Future investigation is warranted to better understand whether and to what degree the observed association may reflect the therapeutic benefits patients actually received or other factors such as empowering provider-patient education and communication about these approaches.

Background: Low back pain (LBP) is a common reason individuals seek healthcare. Nonpharmacologic management (NPM) is often recommended as a primary intervention, and earlier use of NPM for LBP shows positive clinical outcomes. Our purpose was to evaluate how timing of engagement in NPM for LBP affects downstream LBP visits during the first year., Methods: This study was a secondary analysis of an observational cohort study of national electronic health record data. Patients entering the Musculoskeletal Diagnosis/Complementary and Integrative Health Cohort with LBP from October 1, 2016 to September 30, 2017 were included. Exclusive patient groups were defined by engagement in NPM within 30 days of entry ("very early NPM"), between 31 and 90 days ("early NPM"), or not within the first 90 days ("no NPM"). The outcome was time, in days, to the final LBP follow-up after 90 days and within the first year. Cox proportional hazards regression was used to model time to final follow up, controlling for additional demographic and clinical covariables., Results: The study population included 44,175 patients, with 16.7% engaging in very early NPM and 13.1% in early NPM. Patients with very early NPM (5.2 visits, SD=4.5) or early NPM (5.7 visits, SD=4.6) had a higher mean number of LBP visits within the first year than those not receiving NPM in the first 90 days (3.2 visits, SD = 2.5). The very early NPM (HR=1.50, 95% CI: 1.46-1.54; median=48 days, IQR=97) and early NPM (HR=1.27, 95% CI: 1.23-1.30; median=88 days, IQR=92) had a significantly shorter time to final follow-up than the no NPM group (median=109 days, IQR=150)., Conclusions: Veterans Health Administration patients receiving NPM for LBP within the first 90 days after initially seeking care demonstrate a significantly faster time to final follow-up visit within the first year compared to those who do not., Competing Interests: The authors have no conflicts of interest, financial or otherwise, to disclose.

Objective: Disclosure of sexual orientation and gender identity correlates with better outcomes, yet data may not be available in structured fields in electronic health record data. To gain greater insight into the care of sexual and gender-diverse patients in the Veterans Health Administration (VHA), we examined the documentation patterns of sexual orientation and gender identity through extraction and analyses of data contained in unstructured electronic health record clinical notes., Methods: Salient terms were identified through authoritative vocabularies, the research team's expertise, and frequencies, and the use of consistency in VHA clinical notes. Term frequencies were extracted from VHA clinical notes recorded from 2000 to 2018. Temporal analyses assessed usage changes in normalized frequencies as compared with nonclinical use, relative growth rates, and geographic variations., Results: Over time most terms increased in use, similar to Google ngram data, especially after the repeal of the "Don't Ask Don't Tell" military policy in 2010. For most terms, the usage adoption consistency also increased by the study's end. Aggregated use of all terms increased throughout the United States., Conclusion: Term usage trends may provide a view of evolving care in a temporal continuum of changing policy. These findings may be useful for policies and interventions geared toward sexual and gender-diverse individuals. Despite the lack of structured data, the documentation of sexual orientation and gender identity terms is increasing in clinical notes., Competing Interests: The authors declare no conflict of interest., (Copyright © 2022 Wolters Kluwer Health, Inc. All rights reserved.)

Importance: The months after psychiatric hospital discharge are a time of high risk for suicide. Intensive postdischarge case management, although potentially effective in suicide prevention, is likely to be cost-effective only if targeted at high-risk patients. A previously developed machine learning (ML) model showed that postdischarge suicides can be predicted from electronic health records and geospatial data, but it is unknown if prediction could be improved by adding additional information., Objective: To determine whether model prediction could be improved by adding information extracted from clinical notes and public records., Design, Setting, and Participants: Models were trained to predict suicides in the 12 months after Veterans Health Administration (VHA) short-term (less than 365 days) psychiatric hospitalizations between the beginning of 2010 and September 1, 2012 (299 050 hospitalizations, with 916 hospitalizations followed within 12 months by suicides) and tested in the hospitalizations from September 2, 2012, to December 31, 2013 (149 738 hospitalizations, with 393 hospitalizations followed within 12 months by suicides). Validation focused on net benefit across a range of plausible decision thresholds. Predictor importance was assessed with Shapley additive explanations (SHAP) values. Data were analyzed from January to August 2022., Main Outcomes and Measures: Suicides were defined by the National Death Index. Base model predictors included VHA electronic health records and patient residential data. The expanded predictors came from natural language processing (NLP) of clinical notes and a social determinants of health (SDOH) public records database., Results: The model included 448 788 unique hospitalizations. Net benefit over risk horizons between 3 and 12 months was generally highest for the model that included both NLP and SDOH predictors (area under the receiver operating characteristic curve range, 0.747-0.780; area under the precision recall curve relative to the suicide rate range, 3.87-5.75). NLP and SDOH predictors also had the highest predictor class-level SHAP values (proportional SHAP = 64.0% and 49.3%, respectively), although the single highest positive variable-level SHAP value was for a count of medications classified by the US Food and Drug Administration as increasing suicide risk prescribed the year before hospitalization (proportional SHAP = 15.0%)., Conclusions and Relevance: In this study, clinical notes and public records were found to improve ML model prediction of suicide after psychiatric hospitalization. The model had positive net benefit over 3-month to 12-month risk horizons for plausible decision thresholds. Although caution is needed in inferring causality based on predictor importance, several key predictors have potential intervention implications that should be investigated in future studies.

Prior research has demonstrated disparities in general medical care for patients with mental health conditions, but little is known about disparities in pain care. The objective of this retrospective cohort study was to determine whether mental health conditions are associated with indicators of pain care quality (PCQ) as documented by primary care clinicians in the Veterans Health Administration (VHA). We used natural language processing to analyze electronic health record data from a national sample of Veterans with moderate to severe musculoskeletal pain during primary care visits in the Fiscal Year 2017. Twelve PCQ indicators were annotated from clinician progress notes as present or absent; PCQ score was defined as the sum of these indicators. Generalized estimating equation Poisson models examined associations among mental health diagnosis categories and PCQ scores. The overall mean PCQ score across 135,408 person-visits was 8.4 (SD = 2.3). In the final adjusted model, post-traumatic stress disorder was associated with higher PCQ scores (RR = 1.006, 95%CI 1.002-1.010, P = .007). Depression, alcohol use disorder, other substance use disorder, schizophrenia, and bipolar disorder diagnoses were not associated with PCQ scores. Overall, results suggest that in this patient population, presence of a mental health condition is not associated with lower quality pain care. PERSPECTIVE: This study used a natural language processing approach to analyze medical records to determine whether mental health conditions are associated with indicators of pain care quality as documented by primary care clinicians. Findings suggest that presence of a diagnosed mental health condition is not associated with lower quality pain care., (Published by Elsevier Inc.)

Deep neural network (DNN) is a powerful technology that is being utilized by a growing number and range of research projects, including disease risk prediction models. One of the key strengths of DNN is its ability to model non-linear relationships, which include covariate interactions. We developed a novel method called interaction scores for measuring the covariate interactions captured by DNN models. As the method is model-agnostic, it can also be applied to other types of machine learning models. It is designed to be a generalization of the coefficient of the interaction term in a logistic regression; hence, its values are easily interpretable. The interaction score can be calculated at both an individual level and population level. The individual-level score provides an individualized explanation for covariate interactions. We applied this method to two simulated datasets and a real-world clinical dataset on Alzheimer's disease and related dementia (ADRD). We also applied two existing interaction measurement methods to those datasets for comparison. The results on the simulated datasets showed that the interaction score method can explain the underlying interaction effects, there are strong correlations between the population-level interaction scores and the ground truth values, and the individual-level interaction scores vary when the interaction was designed to be non-uniform. Another validation of our new method is that the interactions discovered from the ADRD data included both known and novel relationships.

Sleep disturbance has emerged as an independent, mechanistic, and modifiable risk factor for suicide. Sexual and gender minority (SGM) people disproportionately experience sleep disturbance and are at higher risk of death by suicide relative to cisgender and/or heterosexual individuals. The present narrative review evaluates nascent research related to sleep disturbance and suicide-related thoughts and behaviors (STBs) among SGM populations, and discusses how experiences of minority stress may explain heightened risk among SGM people. Although there is a growing understanding of the link between sleep disturbance and STBs, most research has not been conducted in SGM populations or has not examined suicide as an outcome. Research is needed to examine whether and how aspects of sleep disturbances relate to STBs among SGM people in order to better tailor sleep treatments for SGM populations., Competing Interests: None.

Persons living with HIV (PWH) are at elevated risk for suicide. We conducted a systematic literature review following PRISMA-P guidelines to examine risk factors associated with suicide as a cause of morbidity among PWH. We searched six electronic databases using search terms (suicide, suicide attempt, self-harm, self-injurious behavior, HIV, AIDS, PWH). We focused on factors that were specific to HIV infection (CD4 count, HIV-1 RNA, and antiretroviral therapy [ART]). The initial search yielded N = 2657 studies. Eligible studies included suicide as an outcome, quantitative study design, and publication in peer-reviewed journals from 1996 through 2020. Fourteen studies met inclusion criteria. PWH share risk factors for suicide found in the general population: psychiatric illness, previous suicide attempt, drug and alcohol misuse. PWH also have HIV-specific risk factors for suicide. HIV diagnosis in the past two years and transmission related to injection drug use were associated with increased risk; HIV-1 RNA, ART, and AIDS-defining illness were not., (© 2022. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)

Abstract: The lack of a reliable approach to assess quality of pain care hinders quality improvement initiatives. Rule-based natural language processing algorithms were used to extract pain care quality (PCQ) indicators from documents of Veterans Health Administration primary care providers for veterans diagnosed within the past year with musculoskeletal disorders with moderate-to-severe pain intensity across 2 time periods 2013 to 2014 (fiscal year [FY] 2013) and 2017 to 2018 (FY 2017). Patterns of documentation of PCQ indicators for 64,444 veterans and 124,408 unique visits (FY 2013) and 63,427 veterans and 146,507 visits (FY 2017) are described. The most commonly documented PCQ indicators in each cohort were presence of pain, etiology or source, and site of pain (greater than 90% of progress notes), while least commonly documented were sensation, what makes pain better or worse, and pain's impact on function (documented in fewer than 50%). A PCQ indicator score (maximum = 12) was calculated for each visit in FY 2013 (mean = 7.8, SD = 1.9) and FY 2017 (mean = 8.3, SD = 2.3) by adding one point for every indicator documented. Standardized Cronbach alpha for total PCQ scores was 0.74 in the most recent data (FY 2017). The mean PCQ indicator scores across patient characteristics and types of healthcare facilities were highly stable. Estimates of the frequency of documentation of PCQ indicators have face validity and encourage further evaluation of the reliability, validity, and utility of the measure. A reliable measure of PCQ fills an important scientific knowledge and practice gap., (Copyright © 2021 Written work prepared by employees of the Federal Government as part of their official duties is, under the U.S. Copyright Act, a “work of the United States Government” for which copyright protection under Title 17 of the United States Code is not available. As such, copyright does not extend to the contributions of employees of the Federal Government.)

Transgender people experience harassment, denial of services, and physical assault during healthcare visits. Electronic health record (EHR) structure and language can exacerbate the harm they experience by using transphobic terminology, emphasizing binary genders, and pathologizing transness. Here, we investigate the ways in which SNOMED CT and ICD-10-CM record gender-related terminology and explore their shortcomings as they contribute to this EHR-mediated violence. We discuss how this "standardized" gender-related medical terminology pathologizes transness, fails to accommodate nonbinary patients, and uses derogatory and outmoded language. We conclude that there is no easy fix to the transphobia beleaguering healthcare, provide options to reduce harm to patients, and ultimately call for a critical examination of medicine's role in transphobia. We aim to demonstrate the ways in which the [mis]use and [mis]understanding of gender-specific terminology in healthcare settings has harmed and continues to harm trans people by grounding our discussion in our personal experiences., (© The Author(s) 2021. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For permissions, please email: journals.permissions@oup.com.)

Objective: We describe the most frequently used musculoskeletal diagnoses in Veterans Health Administration care. We report the number of visits and patients associated with common musculoskeletal International Classification of Diseases (ICD)-10 codes and compare trends across primary and specialty care settings., Design: Secondary analysis of a longitudinal cohort study., Subjects: Veterans included in the Musculoskeletal Diagnosis Cohort with a musculoskeletal diagnosis from October 1, 2015, through September 30, 2017., Methods: We obtained counts and proportions of all musculoskeletal diagnosis codes used and the number of unique patients with each musculoskeletal diagnosis. Diagnosis use was compared between primary and specialty care settings., Results: Of more than 6,400 possible ICD-10 M-codes describing "Diseases of the Musculoskeletal System and Connective Tissue," 5,723 codes were used at least once. The most frequently used ICD-10 M-code was "Low Back Pain" (18.3%), followed by "Cervicalgia" (3.6%). Collectively, the 100 most frequently used codes accounted for 80% of M-coded visit diagnoses, and 95% of patients had at least one of these diagnoses. The most common diagnoses (spinal pain, joint pain, osteoarthritis) were used similarly in primary and specialty care settings., Conclusion: A diverse sample of all available musculoskeletal diagnosis codes were used; however, less than 2% of all possible codes accounted for 80% of the diagnoses used. This trend was consistent across primary and specialty care settings. The most frequently used diagnosis codes describe the types of musculoskeletal conditions, among a large pool of potential diagnoses, that prompt veterans to present to the Veterans Health Administration for musculoskeletal care., (Published by Oxford University Press on behalf of the American Academy of Pain Medicine. This work is written by US Government employees and is in the public domain in the US.)

Background: Pain and heart failure are highly comorbid., Objectives: The purpose of this study was to examine differences in pain intensity and pain medication prescriptions among Veterans with comorbid heart failure and pain and those with pain alone., Methods: The Musculoskeletal Disorder (MSD) cohort includes 5,237,763 Veteran diagnosed with a musculoskeletal disorder between 2000 and 2013. Veterans with comorbid heart failure and back pain (heart failure+, n = 3,950, M age  = 70.5 ± 12) were compared to those with back pain alone (heart failure-, n = 165,290, M age  = 52.1 ± 17.5)., Results: In multivariate adjusted models, heart failure+ was associated with a higher likelihood of moderate/severe pain (OR = 1.12; 95% CI 1.04-1.21), a higher likelihood of opioids (OR = 1.63; CI = 1.52-1.75) and/or gabapentin prescriptions (OR = 1.18; CI = 1.02-1.36), but a lower likelihood of NSAID prescriptions (OR = 0.57; CI = 0.50-0.66)., Conclusions: Comorbid cardiovascular and pain conditions present a challenge in clinical management that warrants further study., Competing Interests: Declaration of Competing Interest The authors declare they have no conflict of interest., (Published by Elsevier Inc.)

Sexual trauma is a suicide risk factor. While military sexual trauma (MST) is frequently associated with suicidal ideation (SI) in women and men veterans who served in recent conflicts, less is known about MST's relationship to SI in veterans who have no documented mental health concerns. Of the 1.1 million post-9/11 veterans enrolled in the Veterans Healthcare Administration (VHA) we examined 41,658 (12.3% women, 87.7% men) without evidence of mental health diagnosis or treatment and who were screened for MST and SI using the standard VHA clinical reminders between 2008 and 2013. Relative risk estimates were generated using separate models for women and men. MST was reported by 27.9% of women and 2.9% of men; SI by 14.7% and 16.5%, respectively. The adjusted relative risk of MST on SI was 1.65 (95% CI 1.35, 2.00) in women, and 1.49 (95% CI 1.26, 1.75) in men. In this sample of veterans without evidence of mental health diagnosis or treatment, MST was associated with a high risk of SI in both genders. Positive MST screening should prompt SI screening and risk management if indicated, and further study of barriers to mental healthcare among MST survivors at risk for suicide is warranted., (Copyright © 2021. Published by Elsevier B.V.)

Introduction: Presence of a firearm is associated with increased risk of violence and suicide. United States military veterans are at disproportionate risk of suicide. Routine healthcare provider screening of firearm access may prompt counseling on safe storage and handling of firearms. The objective of this study was to determine the frequency with which Veterans Health Administration (VHA) healthcare providers document firearm access in electronic health record (EHR) clinical notes, and whether this varied by patient characteristics., Methods: The study sample is a post-9-11 cohort of veterans in their first year of VHA care, with at least one outpatient care visit between 2012-2017 (N = 762,953). Demographic data, veteran military service characteristics, and clinical comorbidities were obtained from VHA EHR. We extracted clinical notes for outpatient visits to primary, urgent, or emergency clinics (total 105,316,004). Natural language processing and machine learning (ML) approaches were used to identify documentation of firearm access. A taxonomy of firearm terms was identified and manually annotated with text anchored by these terms, and then trained the ML algorithm. The random-forest algorithm achieved 81.9% accuracy in identifying documentation of firearm access., Results: The proportion of patients with EHR-documented access to one or more firearms during their first year of care in the VHA was relatively low and varied by patient characteristics. Men had significantly higher documentation of firearms than women (9.8% vs 7.1%; P < .001) and veterans >50 years old had the lowest (6.5%). Among veterans with any firearm term present, only 24.4% were classified as positive for access to a firearm (24.7% of men and 20.9% of women)., Conclusion: Natural language processing can identify documentation of access to firearms in clinical notes with acceptable accuracy, but there is a need for investigation into facilitators and barriers for providers and veterans to improve a systemwide process of firearm access screening. Screening, regardless of race/ethnicity, gender, and age, provides additional opportunities to protect veterans from self-harm and violence.

We examined the effectiveness and safety of a walking program offered as part of cognitive behavioral therapy for chronic pain (CBT-CP). Participants were randomized to 10 weeks of CBT-CP, delivered either in person or by interactive voice response. Participants reported pedometer-measured step counts daily throughout treatment and received a weekly goal to increase their steps by 10% over the prior week's average. Walking-related adverse events (AEs) were assessed weekly. Participants (n = 125) were primarily male (72%), and white (80%) with longstanding pain (median: 11 years). There was no significant difference between treatment groups in rate of change in daily steps, but there was a significant increase in steps from baseline to treatment termination in the combined study sample (1648 steps (95% CI 1063-2225)). Participants classified as active doubled. AEs were mostly minor and temporary. Treatment was effective and safe whether the program was delivered in-person or remotely.Trial registration number: clinicaltrials.gov identifier: NCT01025752.

Purpose: Transgender veterans are overrepresented in the Veterans Health Administration (VHA) compared with in the general population. Utilization of multiple different health care systems, or health care mobility, can affect care coordination and potentially affect outcomes, either positively or negatively. This study examines whether transgender veterans are more or less health care mobile than nontransgender veterans and compares the patterns of geographic mobility in these groups. Methods: Using an established cohort ( n  = 5,414,109), we identified 2890 transgender veterans from VHA electronic health records from 2000 to 2012. We compared transgender and nontransgender veterans on sociodemographic, clinical, and health care system-level measures and conducted conditional logistic regression models of mobility. Results: Transgender veterans were more likely to be younger, White, homeless, have depressive disorders, post-traumatic stress disorder (PTSD), and hepatitis C. Transgender veterans were more likely to have been health care mobile (9.9%) than nontransgender veterans (5.2%) (unadjusted odds ratio = 2.02, 95% confidence interval = 1.73-2.36). In a multivariable model, transgender status, being separated/divorced, receiving care in less-complex facilities, and diagnoses of depression, PTSD, or hepatitis C were associated with more mobility, whereas older age was associated with less mobility. For the top three health care systems utilized, a larger proportion of transgender veterans visited a second health care system in a different state (56.2%) than nontransgender veterans (37.5%). Conclusions: Transgender veterans were more likely to be health care mobile and more likely to travel out of state for health care services. They were also more likely to have complex chronic health conditions that require multidisciplinary care.

Background: Multisite chronic pain (MSCP) is associated with increased chronic pain impact, but methods for identifying MSCP for epidemiological research have not been evaluated., Objective: We assessed the validity of identifying MSCP using electronic health care data compared with survey questionnaires., Methods: Stratified random samples of adults served by Kaiser Permanente Northwest and Washington (N = 2,059) were drawn for a survey, oversampling persons with frequent use of health care for pain. MSCP and single-site chronic pain were identified by two methods, with electronic health care data and with self-report of common chronic pain conditions by survey questionnaire. Analyses were weighted to adjust for stratified sampling., Results: MSCP was somewhat less common when ascertained by electronic health records (14.7% weighted prevalence) than by survey questionnaire (25.9% weighted prevalence). Agreement of the two MSCP classifications was low (kappa agreement statistic of 0.21). Ascertainment of MSCP with electronic health records was 30.9% sensitive, 91.0% specific, and had a positive predictive value of 54.5% relative to MSCP identified by self-report as the standard. After adjusting for age and gender, patients with MSCP identified by either electronic health records or self-report showed higher levels of pain-related disability, pain severity, depressive symptoms, and long-term opioid use than persons with single-site chronic pain identified by the same method., Conclusions: Identification of MSCP with electronic health care data was insufficiently accurate to be used as a surrogate or screener for MSCP identified by self-report, but both methods identified persons with heightened chronic pain impact., (© The Author(s) 2020. Published by Oxford University Press on behalf of the American Academy of Pain Medicine. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Objective: To examine the relationship between body mass index (BMI) and pain intensity among veterans with musculoskeletal disorder diagnoses (MSDs; nontraumatic joint disorder; osteoarthritis; low back, back, and neck pain)., Setting: Administrative and electronic health record data from the Veterans Health Administration (VHA)., Subjects: A national cohort of US military veterans with MSDs in VHA care during 2001-2012 (N = 1,759,338)., Methods: These cross-sectional data were analyzed using hurdle negative binomial models of pain intensity as a function of BMI, adjusted for comorbidities and demographics., Results: The sample had a mean age of 59.4, 95% were male, 77% were white/Non-Hispanic, 79% were overweight or obese, and 42% reported no pain at index MSD diagnosis. Overall, there was a J-shaped relationship between BMI and pain (nadir = 27 kg/m2), with the severely obese (BMI ≥ 40 kg/m2) being most likely to report any pain (OR vs normal weight = 1.23, 95% confidence interval = 1.21-1.26). The association between BMI and pain varied by MSD, with a stronger relationship in the osteoarthritis group and a less pronounced relationship in the back and low back pain groups., Conclusions: There was a high prevalence of overweight/obesity among veterans with MSD. High levels of BMI (>27 kg/m2) were associated with increased odds of pain, most markedly among veterans with osteoarthritis., (© The Author(s) 2020. Published by Oxford University Press on behalf of the American Academy of Pain Medicine. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Background: Chronic spinal pain conditions affect millions of US adults and carry a high healthcare cost burden, both direct and indirect. Conservative interventions for spinal pain conditions, including chiropractic care, have been associated with lower healthcare costs and improvements in pain status in different clinical populations, including veterans. Little is currently known about predicting healthcare service utilization in the domain of conservative interventions for spinal pain conditions, including the frequency of use of chiropractic services. The purpose of this retrospective cohort study was to explore the use of supervised machine learning approaches to predicting one-year chiropractic service utilization by veterans receiving VA chiropractic care., Methods: We included 19,946 veterans who entered the Musculoskeletal Diagnosis Cohort between October 1, 2003 and September 30, 2013 and utilized VA chiropractic services within one year of cohort entry. The primary outcome was one-year chiropractic service utilization following index chiropractic visit, split into quartiles represented by the following classes: 1 visit, 2 to 3 visits, 4 to 6 visits, and 7 or greater visits. We compared the performance of four multiclass classification algorithms (gradient boosted classifier, stochastic gradient descent classifier, support vector classifier, and artificial neural network) in predicting visit quartile using 158 sociodemographic and clinical features., Results: The selected algorithms demonstrated poor prediction capabilities. Subset accuracy was 42.1% for the gradient boosted classifier, 38.6% for the stochastic gradient descent classifier, 41.4% for the support vector classifier, and 40.3% for the artificial neural network. The micro-averaged area under the precision-recall curve for each one-versus-rest classifier was 0.43 for the gradient boosted classifier, 0.38 for the stochastic gradient descent classifier, 0.43 for the support vector classifier, and 0.42 for the artificial neural network. Performance of each model yielded only a small positive shift in prediction probability (approximately 15%) compared to naïve classification., Conclusions: Using supervised machine learning to predict chiropractic service utilization remains challenging, with only a small shift in predictive probability over naïve classification and limited clinical utility. Future work should examine mechanisms to improve model performance.

Co-morbidity between medical and psychiatric conditions is commonly considered between individual pairs of conditions. However, an important alternative is to consider all conditions as part of a co-morbidity network, which encompasses all interactions between patients and a healthcare system. Analysis of co-morbidity networks could detect and quantify general tendencies not observed by smaller-scale studies. Here, we investigate the co-morbidity network derived from longitudinal healthcare records from approximately 1 million United States military veterans, a population disproportionately impacted by psychiatric morbidity and psychological trauma. Network analyses revealed marked and heterogenous patterns of co-morbidity, including a multi-scale community structure composed of groups of commonly co-morbid conditions. Psychiatric conditions including posttraumatic stress disorder were strong predictors of future medical morbidity. Neurological conditions and conditions associated with chronic pain were particularly highly co-morbid with psychiatric conditions. Across conditions, the degree of co-morbidity was positively associated with mortality. Co-morbidity was modified by biological sex and could be used to predict future diagnostic status, with out-of-sample prediction accuracy of 90-92%. Understanding complex patterns of disease co-morbidity has the potential to lead to improved designs of systems of care and the development of targeted interventions that consider the broader context of mental and physical health., Competing Interests: We declare we have no competing interests., (© 2020 The Author(s).)

Background: Ascertainment of unnatural and overdose death may be unreliable among individuals with life-limiting conditions such as HIV infection. We sought to determine whether the relationship between opioid use and unnatural death differs among decedents with HIV (DWH) and those without., Methods: Decedents in the Veterans Aging Cohort Study (VACS) from 2002 to 14 were linked to the National Death Index cause of death file. Deaths were classified as unnatural, overdose (a subset of unnatural), or other. We defined opioid use as self-reported illicit use or receipt of prescribed opioids. Treating unnatural and overdose deaths as outcomes, we calculated odds ratios for opioid exposure by HIV status, with and without adjustment for disease severity using VACS Index., Results: Among 561 decedents without HIV (DWOH) and 884 DWH, 11 % and 8 % respectively were classified as unnatural deaths and 4 % and 2 % were classified as overdose deaths. Among DWOH, opioid use was associated with 2-fold greater odds of unnatural (OR 2.3; 95 % CI 1.3-4.0) and 4-fold greater odds of overdose death (OR 4.5; 95 % CI 1.5-13.7); in adjusted analyses, opioid use was associated with unnatural death (OR 2.6; 95 % CI 1.3-4.9) and with overdose (OR 4.2; 95 % CI 1.4-12.7). Opioid use was not associated with unnatural or overdose death among DWH., Conclusion: Opioid use was strongly associated with unnatural and overdose death among DWOH but not among DWH suggesting potential differential misclassification. Caution should be used in interpreting prevalence, incidence and risk factors for unnatural and overdose cause of death among patients with life-limiting conditions such as HIV., Competing Interests: Declaration of Competing Interest None., (Published by Elsevier B.V.)

There is a very high suicide rate in the year after psychiatric hospital discharge. Intensive postdischarge case management programs can address this problem but are not cost-effective for all patients. This issue can be addressed by developing a risk model to predict which inpatients might need such a program. We developed such a model for the 391,018 short-term psychiatric hospital admissions of US veterans in Veterans Health Administration (VHA) hospitals 2010-2013. Records were linked with the National Death Index to determine suicide within 12 months of hospital discharge (n=771). The Super Learner ensemble machine learning method was used to predict these suicides for time horizon between 1 week and 12 months after discharge in a 70% training sample. Accuracy was validated in the remaining 30% holdout sample. Predictors included VHA administrative variables and small area geocode data linked to patient home addresses. The models had AUC=.79-.82 for time horizons between 1 week and 6 months and AUC=.74 for 12 months. An analysis of operating characteristics showed that 22.4%-32.2% of patients who died by suicide would have been reached if intensive case management was provided to the 5% of patients with highest predicted suicide risk. Positive predictive value (PPV) at this higher threshold ranged from 1.2% over 12 months to 3.8% per case manager year over 1 week. Focusing on the low end of the risk spectrum, the 40% of patients classified as having lowest risk account for 0%-9.7% of suicides across time horizons. Variable importance analysis shows that 51.1% of model performance is due to psychopathological risk factors accounted, 26.2% to social determinants of health, 14.8% to prior history of suicidal behaviors, and 6.6% to physical disorders. The paper closes with a discussion of next steps in refining the model and prospects for developing a parallel precision treatment model., (Copyright © 2020 Kessler, Bauer, Bishop, Demler, Dobscha, Gildea, Goulet, Karras, Kreyenbuhl, Landes, Liu, Luedtke, Mair, McAuliffe, Nock, Petukhova, Pigeon, Sampson, Smoller, Weinstock and Bossarte.)

Introduction: Previous research has demonstrated an association between military sexual trauma and risk for suicide; however, risk for self-directed violence such as suicide attempt or nonsuicidal self-injury following military sexual trauma is understudied. This study examines the relationship between military sexual trauma and serious self-directed violence resulting in hospitalization, as well as whether this relationship differs by sex., Methods: Participants were 750,176 Operations Enduring Freedom/Iraqi Freedom/New Dawn veterans who were enrolled in Veterans Health Administration care during the period of October 1, 2001-September 30, 2014 and who were screened for military sexual trauma. Data were analyzed in 2019. Bivariate analyses and Cox proportional hazards regression models were employed., Results: Women veterans were more likely to screen positive for military sexual trauma (21.33% vs 1.63%), and women and men were equally likely to experience serious self-directed violence (1.19% women vs 1.18% men). Controlling for demographic variables and psychiatric morbidity, military sexual trauma predicted serious self-directed violence for both men and women. Further, men with military sexual trauma were 15% less likely to experience self-directed violence compared with women with military sexual trauma (hazard ratio=0.85, 95% CI=0.74, 0.98)., Conclusions: Military sexual trauma is associated with risk for serious self-directed violence for both men and women veterans, and the relationship may be pronounced among women. Results underscore the importance of incorporating military sexual trauma into treatment and preventative efforts for self-directed violence., (Copyright © 2020 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.)

Background: We compared male and female American veterans with schizophrenia or bipolar disorder regarding clinical characteristics associated with lifetime suicidal ideation and behavior. Subsequent mortality, including death by suicide, was also assessed., Methods: Data from questionnaires and face-to-face evaluations were collected during 2011-2014 from 8,049 male and 1,290 female veterans with schizophrenia or bipolar disorder. In addition to comparing male-female characteristics, Cox regression models-adjusted for demographic information, medical-psychiatric comorbidities, and self-reported suicidal ideation and behavior-were used to examine gender differences in associations of putative risk factors with suicide-specific and all-cause mortality during up to six years of follow-up., Results: Women overall were younger, more likely to report a history of suicidal behavior, less likely to be substance abusers, and had lower overall mortality during follow-up. Among women only, psychiatric comorbidity was paradoxically associated with lower all-cause mortality (hazard ratio [HR]=0.53, 95% CI, 0.29-0.96, p = 0.037 for 1 disorder vs. none; HR=0.44, 95% CI, 0.25-0.77, p = 0.004 for ≥2 disorders vs. none). Suicide-specific mortality involved relatively few events, but crude rates were an order of magnitude higher than in the U.S. general and overall veteran populations., Limitations: Incomplete cause-of-death information and low statistical power for male-female comparisons regarding mortality., Conclusions: Female veterans with SMI differed from females in the general population by having a higher risk of suicide attempts. They also had more lifetime suicide attempts than male veterans with same diagnoses. These differences should inform public policy and clinical planning., Competing Interests: Declaration of Competing Interest Dr. Harvey has received consulting fees or travel reimbursements from Boehringer Ingelheim, Intra-Cellular Therapies, Minerva, Otsuka America (Otsuka Digital Health), Sanofi Pharma, Sunovion Pharma, Takeda Pharma, and Teva during the past year. He receives royalties from the Brief Assessment of Cognition in Schizophrenia, and he has a research grant from Takeda and from the Stanley Medical Research Foundation. These activities are unrelated to the content of this paper., (Published by Elsevier B.V.)

Introduction: Infrequent use of and poor retention on evidence-based medications for alcohol use disorder (MAUD) represent a treatment gap, particularly among people living with HIV (PLWH). We examined predictors of MAUD initiation and retention across HIV status., Methods: From Veterans Aging Cohort Study (VACS) data, we identified new alcohol use disorder (AUD) diagnoses from 1998 to 2015 among 163,339 individuals (50,826 PLWH and 112,573 uninfected, matched by age, sex, and facility). MAUD initiation was defined as a prescription fill for naltrexone, acamprosate or disulfiram within 30 days of a new diagnosis. Among those who initiated, retention was defined as filling medication for ≥80% of days over the following six months. We used multivariable logistic regression to assess patient- and facility-level predictors of AUD medication initiation across HIV status., Results: Among 10,603 PLWH and 24,424 uninfected individuals with at least one AUD episode, 359 (1.0%) initiated MAUD and 49 (0.14%) were retained. The prevalence of initiation was lower among PLWH than those without HIV (adjusted odds ratio [AOR] 0.66, 95% confidence interval [CI] 0.51-0.85). Older age (for PLWH: AOR 0.78, 95% CI 0.61-0.99; for uninfected: AOR 0.70, 95% CI 0.61-0.80) and black race (for PLWH: AOR 0.63, 95% CI 0.0.49-0.1.00; for uninfected: AOR 0.63, 95% CI 0.48-0.83), were associated with decreased odds of initiation for both groups. The low frequency of retention precluded multivariable analyses for retention., Conclusions: For PLWH and uninfected individuals, targeted implementation strategies to expand MAUD are needed, particularly for specific subpopulations (e.g. black PLWH)., (Copyright © 2019 Elsevier Inc. All rights reserved.)

Effective management of patients with pain requires accurate information about the prevalence, outcomes, and co-occurrence of common pain conditions. However, the transition from ICD-9-CM to ICD-10-CM diagnostic coding in 2015 left researchers without methods for comparing the prevalence of pain conditions before and after the transition. In this study, we developed and assessed a diagnostic framework to serve as a crosswalk between ICD-9-CM and ICD-10-CM diagnosis codes for common pain-related health conditions. We refined existing ICD-9-CM definitions for diagnostic clusters of common pain conditions consistent with the US National Pain Strategy and developed corresponding ICD-10-CM definitions. We then assessed the stability of prevalence estimates and associated patient socio-demographic features of each diagnostic cluster during 1-year periods before and after the transition to ICD-10-CM in 3 US health care systems using electronic health records data for in-person encounters. Prevalence estimates and socio-demographic characteristics were similar before and after the transition. The Pain Condition ICD-9-CM to ICD-10-CM Crosswalk includes a full spectrum of common pain conditions to enable prevalence estimates of multiple and chronic overlapping pain conditions. This allows the tool to serve as a foundation for a broad array of pain-related health services research utilizing electronic databases. PERSPECTIVE: This article details the development and assessment of the Pain Condition ICD-9-CM to ICD-10-CM Crosswalk, a diagnostic framework for assessing pain condition prevalence across the ICD-9-CM to ICD-10-CM transition. This framework can serve as a standardized tool for research on pain conditions, including health services and epidemiologic research., (Copyright © 2019 the American Pain Society. All rights reserved.)

Objective: To examine factors associated with HIV screening among women veterans receiving health care in the Department of Veterans Affairs., Materials and Methods: Cross-sectional study of women veterans receiving Veterans Affairs care between 2001 and 2014 derived from the Women Veteran's Cohort Study. Descriptive and bivariate statistics were calculated comparing patients with and without an HIV screen. Generalized estimating equations were conducted to estimate the odds of HIV screening among women screened for military sexual trauma (MST) and the subset with a positive MST screen. Multivariable analyses were adjusted for demographic characteristics, mental health diagnoses, pregnancy, HIV risk factors, and facility level clustering., Results: Among the 113,796 women veterans in the sample, 84.3% were screened for MST and 13.2% were screened for HIV. Women screened for MST were over twice as likely to be tested for HIV (odds ratio, 2.8; 95% confidence interval, 2.2-3.5). A history of MST was inversely associated with HIV screening (odds ratio, 0.9; 95% confidence interval, 0.8-0.9)., Conclusions: Women veterans screened for sexual trauma received more comprehensive preventive health care in the form of increased HIV screening.

Background: Veterans have a high prevalence of both post-traumatic stress disorder (PTSD) and substance use disorders (SUDs), which are related to suicide risk. Exploring gender-related differences in suicidal behavior risk among this subgroup of veterans is important to improve prevention and treatment strategies. To date, few studies have explored these differences., Methods: The sample included 352,476 men and women veterans from the Women Veterans Cohort Study with a diagnosis of PTSD. First, we conducted analyses to assess gender-related differences in sociodemographic and clinical variables at baseline, as well as by suicidal behavior. Then, we conducted a series of Cox proportional hazards regression models to estimate the hazard ratios of engaging in self-directed violence (SDV) and dying by suicide by SUD status and gender, controlling for potential confounders., Results: Adjusted analyses showed that, among veterans with PTSD, the presence of a SUD significantly increased the risk of SDV and death by suicide. Women with PTSD had a decreased risk of dying by suicide compared with men. No gender-related difference was observed for SDV. SUD increased the risk of SDV behavior in both women and men but increased the risk of dying by suicide only among men., Conclusions: Our findings revealed gender-related differences in SDV and suicide among veterans with a PTSD diagnosis with or without a SUD. Our study, along with the increasing numbers of women serving in the military, stresses the need to conduct gender-based analyses to help improve prevention and treatment strategies., (Published by Elsevier Inc.)

Background: For people living with HIV (PLWH), alcohol use is harmful and may be influenced by unique challenges faced by PLWH living in rural areas. We describe patterns of alcohol use across rurality among PLWH., Methods: Veterans Aging Cohort Study electronic health record data were used to identify patients with HIV (ICD-9 codes for HIV or AIDS) who completed AUDIT-C alcohol screening between February 1, 2008, and September 30, 2014. Regression models estimated and compared 4 alcohol use outcomes (any use [AUDIT-C > 0] and alcohol use disorder [AUD; ICD-9 codes for abuse or dependence] diagnoses among all PLWH, and AUDIT-C risk categories: lower- [1-3 men/1-2 women], moderate- [4-5 men/3-5 women], higher- 6-7]), and severe-risk [8-12], and heavy episodic drinking (HED; ≥1 past-year occasion) among PLWH reporting use) across rurality (urban, large rural, small rural) and census-defined region., Findings: Among 32,699 PLWH (29,540 urban, 1,301 large rural, and 1,828 small rural), both any alcohol use and AUD were highest in urban areas, although this varied across region. Predicted prevalence of any alcohol use was 54.1% (53.5%-54.7%) in urban, 49.6% (46.9%-52.3%) in large rural, and 50.6% (48.3%-52.9%) in small rural areas (P < .01). Predicted prevalence of AUD was 14.4% (14.0%-14.8%) in urban, 11.8% (10.0%-13.5%) in large rural, and 12.3% (10.8%-13.8%) in small rural areas (P < .01). Approximately 12% and 25% had higher- or severe-risk drinking and HED, respectively, but neither differed across rurality., Conclusion: Though some variation across rurality and region was observed, alcohol-related interventions are needed for PLWH across all geographic locations., (© 2018 National Rural Health Association.)