BACKGROUND: Quitting smoking may lead to improvement in substance use, psychiatric symptoms, and pain, especially among high-risk populations who are more likely to experience comorbid conditions. However, causal inferences regarding smoking cessation and its subsequent benefits have been limited.
METHODS: We emulated a hypothetical open-label randomized control trial of smoking cessation using longitudinal observational data of HIV-positive and HIV-negative US veterans from 2003-2015 in the Veterans Aging Cohort Study. We followed individuals from the first time they self-reported current cigarette smoking (baseline). We categorized participants as quitters or non-quitters at the first follow-up visit (approximately 1 year after baseline). Using inverse probability weighting to adjust for confounding and selection bias, we estimated odds ratios for improvement of co-occurring conditions (unhealthy alcohol use, cannabis use, illicit opioid use, cocaine use, depressive symptoms, anxiety symptoms, and pain symptoms) at second follow-up (approximately 2 years after baseline) for those who quit smoking compared to those who did not, among individuals who had the condition at baseline.
RESULTS: Of 4,165 eligible individuals (i.e., current smokers at baseline), 419 reported no current smoking and 2,330 reported current smoking at the first follow-up. Adjusted odds ratios (95% confidence intervals) for associations between quitting smoking and improvement of each condition at second follow-up were: 2.10 (1.01, 4.35) for unhealthy alcohol use, 1.75 (1.00, 3.06) for cannabis use, 1.10 (0.58, 2.08) for illicit opioid use, and 2.25 (1.20, 4.24) for cocaine use, 0.78 (0.44, 1.38) for depressive symptoms, 0.93 (0.58, 1.49) for anxiety symptoms, and 1.31 (0.84, 2.06) for pain symptoms.
CONCLUSIONS: While a causal interpretation of our findings may not be warranted, we found evidence for decreased substance use among veterans who quit cigarette smoking but none for the resolution of psychiatric conditions or pain symptoms. Findings suggest the need for additional resources combined with smoking cessation to reduce psychiatric and pain symptoms for high-risk populations.

BACKGROUND: Medications for opioid use disorder (MOUD) including buprenorphine are effective, but underutilized. Rural patients experience pronounced disparities in access. To reach rural patients, the US Department of Veterans Affairs (VA) has sought to expand buprenorphine prescribing beyond specialty settings and into primary care.
OBJECTIVE: Although challenges remain, some rural VA health care systems have begun offering opioid use disorder (OUD) treatment with buprenorphine in primary care. We conducted interviews with clinicians, leaders, and staff within these systems to understand how this outcome had been achieved.
METHODS: Using administrative data from the VA Corporate Data Warehouse (CDW), we identified rural VA health care systems that had improved their rate of primary care-based buprenorphine prescribing over the period 2015-2020. We conducted qualitative interviews (n = 30) with staff involved in implementing or prescribing buprenorphine in these systems to understand the processes that had facilitated implementation.
METHODS: Clinicians, staff, and leaders embedded within rural VA health care systems located in the Northwest, West, Midwest (2), South, and Northeast.
METHODS: Qualitative interviews were analyzed using a mixed inductive/deductive approach.
RESULTS: Interviews revealed the processes through which buprenorphine was integrated into primary care, as well as processes insufficient to enact change. Implementation was often initially catalyzed through a targeted hire. Champions then engaged clinicians and leaders one-on-one to \"pitch\" the case, describe concordance between buprenorphine prescribing and existing goals, and delineate the supportive role that they could provide. Sites were prepared for implementation by developing new clinical teams and redesigning clinical processes. Each of these processes was made possible with the active, instrumental support of leadership.
CONCLUSIONS: Results suggest that rural systems seeking to improve buprenorphine accessibility in primary care may need to alter primary care structures to accommodate buprenorphine prescribing, whether through new hires, team development, or clinical redesign.

UNASSIGNED: Gender-affirming hormone treatment (GAHT) is a common therapy for transgender individuals to reduce gender dysphoria and improve quality of life. Clarifying the long-term effects of GAHT remains a priority in transgender health research.
UNASSIGNED: To explore whether sex hormones (estradiol and testosterone) are associated with the development of metabolic syndrome in transgender veterans compared with cisgender veterans.
UNASSIGNED: This retrospective, longitudinal cohort study used International Classification of Diseases, Ninth Revision and International Statistical Classification of Diseases and Related Health Problems, Tenth Revision diagnosis codes for gender dysphoria from the Veterans Health Administration national database to identify transfeminine and transmasculine veterans receiving documented feminizing (estradiol) or masculinizing (testosterone) treatment from January 1, 2006, to December 31, 2019, and for whom the GAHT initiation date and metabolic syndrome component-related data were available. Transgender veterans were matched to cisgender referents.
UNASSIGNED: Gender-affirming hormone treatment.
UNASSIGNED: Metabolic syndrome z-scores were calculated based on body mass index, systolic blood pressure, and levels of high-density lipoprotein cholesterol, triglycerides, and blood glucose. Changes in mean z-scores were compared among the transgender and cisgender groups before and after the index date (corresponding to GAHT initiation) using a repeated-measures analysis of variance model.
UNASSIGNED: The cohort included 1290 participants: 645 transgender (494 [38.3%] transfeminine, 151 [11.7%] transmasculine) and 645 cisgender (280 [21.7%] female, 365 [28.3%] male). Mean (SD) age at the index date was 41.3 (13.2) years. Metabolic syndrome z-scores changed significantly over time and differed significantly across groups. Overall, transmasculine veterans had the greatest percentage increase in mean (SEM) z-scores after vs before the index date (298.0% [57.0%]; P < .001), followed by cisgender females (108.3% [27.5%]; P < .001), cisgender males (49.3% [27.5%]; P = .02), and transfeminine persons (3.0% [10.7%]; P = .77).
UNASSIGNED: In this cohort study, in both cisgender and transgender veterans, estradiol was associated with reduced metabolic syndrome risk, whereas testosterone was associated with increased risk. However, transmasculine individuals had the greatest risk and transfeminine individuals had the lowest risk of metabolic syndrome associated with these hormones. This is relevant for the management of metabolic syndrome risk factors in cisgender and transgender individuals and to potentially predict the risk of atherosclerotic cardiovascular disease, type 2 diabetes, systolic hypertension, insulin resistance, and nonalcoholic fatty liver disease.

OBJECTIVE: To describe a learning health care system research process designed to increase buprenorphine prescribing for the treatment of opioid use disorder (OUD) in rural primary care settings within U.S. Department of Veterans Affairs (VA) treatment facilities.
METHODS: Using national administrative data from the VA Corporate Data Warehouse, we identified six rural VA health care systems that had improved their rate of buprenorphine prescribing within primary care from 2015 to 2020 (positive deviants). We conducted qualitative interviews with leaders, clinicians, and staff involved in buprenorphine prescribing within primary care from these sites to inform the design of an implementation strategy.
METHODS: Qualitative interviews to inform implementation strategy development.
METHODS: Interviews were audio-recorded, transcribed verbatim, and coded by a primary coder and secondary reviewer. Analysis utilized a mixed inductive/deductive approach. To develop an implementation strategy, we matched clinical needs identified within interviews with resources and strategies participants had utilized to address these needs in their own sites.
RESULTS: Interview participants (n = 30) identified key clinical needs and strategies for implementing buprenorphine in rural, primary care settings. Common suggestions included the need for clinical mentorship or a consult service, buprenorphine training, and educational resources. Building upon interview findings and in partnership with a clinical team, we developed an implementation strategy composed of an engaging case-based training, an audit and feedback process, and educational resources (e.g., Buprenorphine Frequently Asked Questions, Rural Care Model Infographic).
CONCLUSIONS: We describe a learning health care system research process that leveraged national administrative data, health care provider interviews, and clinical partnership to develop an implementation strategy to encourage buprenorphine prescribing in rural primary care settings.

暂无摘要。

BACKGROUND: Chronic pain affects over 100 million Americans, with a disproportionately high number being Veterans. Chronic pain is often difficult to treat and responds variably to medications, with many providing minimal relief or having adverse side effects that preclude use. Cannabidiol (CBD) has emerged as a potential treatment for chronic pain, yet research in this area remains limited, with few studies examining CBD\'s analgesic potential. Because Veterans have a high need for improved pain care, we designed a clinical trial to investigate CBD\'s effectiveness in managing chronic pain symptoms among Veterans. We aim to determine whether CBD oral solution compared to placebo study medication is associated with greater improvement in the Patient Global Impression of Change (PGIC).
METHODS: We designed a randomized, double-blind, placebo-controlled, pragmatic clinical trial with 468 participants. Participants will be randomly assigned in a 1:1 ratio to receive either placebo or a CBD oral solution over a 4-week period. The trial is remote via a smartphone app and by shipping study materials, including study medication, to participants. We will compare the difference in PGIC between the CBD and placebo group after four weeks and impacts on secondary outcomes (e.g., pain severity, pain interference, anxiety, suicide ideation, and sleep disturbance).
CONCLUSIONS: Once complete, this trial will be among the largest to date investigating the efficacy of CBD for chronic pain. Findings from this clinical trial will contribute to a greater knowledge of CBD\'s analgesic potential and guide further research. Given the relative availability of CBD, our findings will help elucidate the potential of an accessible option for helping to manage chronic pain among Veterans.
BACKGROUND: This protocol is registered at clinicaltrials.gov under study number NCT06213233.

BACKGROUND: Posttraumatic stress disorder (PTSD) and traumatic brain injury (TBI) are associated with self-reported problems with cognition as well as risk for Alzheimer\'s disease and related dementias (ADRD). Overlapping symptom profiles observed in cognitive disorders, psychiatric disorders, and environmental exposures (e.g., head injury) can complicate the detection of early signs of ADRD. The interplay between PTSD, head injury, subjective (self-reported) cognitive concerns and genetic risk for ADRD is also not well understood, particularly in diverse ancestry groups.
METHODS: Using data from the U.S. Department of Veterans Affairs (VA) Million Veteran Program (MVP), we examined the relationship between dementia risk factors (APOE ε4, PTSD, TBI) and subjective cognitive concerns (SCC) measured in individuals of European (n = 140,921), African (n = 15,788), and Hispanic (n = 8,064) ancestry (EA, AA, and HA, respectively). We then used data from the VA electronic medical record to perform a retrospective survival analysis evaluating PTSD, TBI, APOE ε4, and SCC and their associations with risk of conversion to ADRD in Veterans aged 65 and older.
RESULTS: PTSD symptoms (B = 0.50-0.52, p < 1E-250) and probable TBI (B = 0.05-0.19, p = 1.51E-07 - 0.002) were positively associated with SCC across all three ancestry groups. APOE ε4 was associated with greater SCC in EA Veterans aged 65 and older (B = 0.037, p = 1.88E-12). Results of Cox models indicated that PTSD symptoms (hazard ratio [HR] = 1.13-1.21), APOE ε4 (HR = 1.73-2.05) and SCC (HR = 1.18-1.37) were positively associated with risk for ADRD across all three ancestry groups. In the EA group, probable TBI also contributed to increased risk of ADRD (HR = 1.18).
CONCLUSIONS: The findings underscore the value of SCC as an indicator of ADRD risk in Veterans 65 and older when considered in conjunction with other influential genetic, clinical, and demographic risk factors.

Posttraumatic stress disorder (PTSD) may emerge in late life in the context of illness, role changes, and life review, leading to complications in disease management. The \"Talking Later\" podcast was developed as an accessible educational product to improve knowledge about late-life PTSD. We describe the process of systematically developing a ten-episode podcast following Kern\'s six-step curricular model. Following release, the podcast was evaluated via listenership analytics, external clinician feedback survey (N = 45), and internal team survey (N = 9). In 22 months since release, the podcast was played or downloaded 10,124 times across 45 countries. In the external survey, 97% of clinician experts reported the episodes as engaging and informational; 87% stated that no more than general knowledge of PTSD was required to enjoy the podcast. Qualitative analysis of open-ended feedback items found that participants were interested in learning about additional comorbidities and diversity issues related to late-life trauma reengagement. Both the external and internal survey identified discrete elements for improvement. Results suggest the podcast was engaging and informational to a diverse clinical audience. Podcasts represent a relatively new way to deliver educational content. Further consideration of their pedagogical value and limits is warranted.

OBJECTIVE: More than 25% of deaths among older adults occur in nursing homes. Thus, assessments of nursing home quality, including the widely used 5-star rating systems, should reflect quality of end-of-life (EOL) care. Our objective was to examine the associations between Veterans Affairs (VA) nursing home star ratings and quality of EOL care as measured by the VA\'s Bereaved Family Survey (BFS).
METHODS: National, retrospective observational study.
METHODS: VA nursing homes, known as Community Living Centers (CLCs). All veterans who died in a CLC from October 2018 to September 2019 whose next of kin completed a BFS.
METHODS: Using linked VA data sources, we examined the BFS-Performance Measure (BFS-PM) (ie, the % of BFS respondents who provided an \"excellent\" overall rating) by the Overall Star Rating and domain star ratings (unannounced survey, staffing, and quality) for the 133 CLCs in our sample. Logistic and linear regression was used to examine the associations between CLC Overall Star Rating and individual-level BFS outcomes. Outcomes included the BFS-PM (primary), the 3 BFS factor scores of Respectful Care and Communication, Emotional and Spiritual Support, and Death Benefits, and 2 symptom management items.
RESULTS: Differences in the BFS-PM by CLC star rating were small to none and not statistically significant across all star rating domains. The relationship between a higher CLC Overall Star Rating and odds of an \"excellent\" BFS global rating was not statistically significant. Similarly, no significant associations were observed between a higher CLC Overall Star Rating and scores on the BFS factor scores and symptom management items.
CONCLUSIONS: Our findings suggest that the current CLC star rating system is not sufficient to assess the quality of EOL care. BFS scores, or a comparative EOL quality of care measure, should be integrated into CLC quality rating systems.

Objective: Many people report becoming pregnant while using contraception. Understanding more about this phenomenon may provide insight into pregnant people\'s responses to and healthcare needs for these pregnancies. This study explores the outcome (e.g., birth, miscarriage, abortion) of pregnancies among Veterans in which conception occurred in the month of contraceptive use. Study Design: We used data from the Examining Contraceptive Use and Unmet Need Study, a telephone-based survey conducted in 2014-2016 of women Veterans (n = 2302) ages 18-44 receiving primary care from the Veterans Health Administration. For each pregnancy, we estimated the relationship between occurrence in the month of contraceptive use and the outcome of the pregnancy using multinomial logistic regression, controlling for relevant demographic, clinical, and military factors and clustering of pregnancies from the same Veteran. Results: The study included 4436 pregnancies from 1689 Veterans. Most participants were ≥30 years of age (n = 1445, 85.6%), identified as non-Hispanic white (n = 824, 51.6%), and lived in the Southern United States (n = 994, 55.6%). Nearly 60% (n = 1007) of Veterans who had ever been pregnant reported experiencing a pregnancy in the month of contraceptive use; a majority of those pregnancies (n = 1354, 80.9%) were described as unintended. In adjusted models, pregnancies occurring in the month of contraceptive use were significantly more likely to end in abortion (aOR: 1.76, 95% CI: 1.42-2.18) than live birth. Conclusions: Pregnancy while using contraception is common among Veterans; these pregnancies are more likely to end in abortion than live birth. Given widespread restrictions to reproductive health services across much of the United States, ensuring Veterans\' access to comprehensive care, including abortion, is critical to supporting reproductive autonomy and whole health.