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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.

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.

BackgroundFor 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.MethodsVeterans 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.FindingsAmong 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.ConclusionThough some variation across rurality and region was observed, alcohol-related interventions are needed for PLWH across all geographic locations.

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., Author(s): Alicia A. Heapy [sup.1] [sup.2] , Hallie Tankha [sup.3] , Diana M. Higgins [sup.4] [sup.5] , Mary Driscoll [sup.1] [sup.2] , Kathryn M. LaChappelle [sup.1] , Joseph L. Goulet [...]

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. [ABSTRACT FROM AUTHOR]

BackgroundIt is unclear if the risk of liver disease associated with different levels of alcohol consumption is higher for patients infected with human immunodeficiency virus (HIV) or chronic hepatitis C virus (HCV). We evaluated associations between alcohol use categories and advanced hepatic fibrosis, by HIV and chronic HCV status.MethodsWe performed a cross-sectional study among participants in the Veterans Aging Cohort Study who reported alcohol consumption at enrollment (701 HIV/HCV-coinfected; 1410 HIV-monoinfected; 296 HCV-monoinfected; 1158 HIV/HCV-uninfected). Alcohol use category was determined by the Alcohol Use Disorders Identification Test-Consumption (AUDIT-C) questionnaire and alcohol-related diagnoses and was classified as nonhazardous drinking, hazardous/binge drinking, or alcohol-related diagnosis. Advanced hepatic fibrosis was defined by FIB-4 index >3.25.ResultsWithin each HIV/HCV group, the prevalence of advanced hepatic fibrosis increased as alcohol use category increased. For each alcohol use category, advanced hepatic fibrosis was more common among HIV-infected than uninfected (nonhazardous: 6.7% vs 1.4%; hazardous/binge: 9.5% vs 3.0%; alcohol-related diagnosis: 19.0% vs 8.6%; P < .01) and chronic HCV-infected than uninfected (nonhazardous: 13.6% vs 2.5%; hazardous/binge: 18.2% vs 3.1%; alcohol-related diagnosis: 22.1% vs 6.5%; P < .01) participants. Strong associations with advanced hepatic fibrosis (adjusted odds ratio [95% confidence interval]) were observed among HIV/HCV-coinfected patients with nonhazardous drinking (14.2 [5.91-34.0]), hazardous/binge drinking (18.9 [7.98-44.8]), and alcohol-related diagnoses (25.2 [10.6-59.7]) compared with uninfected nonhazardous drinkers.ConclusionsAdvanced hepatic fibrosis was present at low levels of alcohol consumption, increased with higher alcohol use categories, and was more prevalent among HIV-infected and chronic HCV-infected patients than uninfected individuals. All alcohol use categories were strongly associated with advanced hepatic fibrosis in HIV/HCV-coinfected patients.

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/m2, age <60 years, HbA1c≥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/m2 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], HbA1c≥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. [ABSTRACT FROM AUTHOR]

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. Key points: Due to data sparsity, suicidality documentation is difficult to identify in clinical notes. Zero‐shot learning addresses the data sparsity issue. Zero‐shot learning enables identification of suicidality and its risks in clinical notes, and associated patients, where no diagnostic code relevant to suicide or self‐harm has been recorded. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]