Opioid prescription and risk of atrial fibrillation in younger veterans.

BACKGROUND: Opioids may play a part in the development of atrial fibrillation (AF). Understanding the relationship between opioid exposure and AF can help providers better assess the risk and benefits of prescribing opioids. OBJECTIVE: To assess the incidence of AF as a function of prescribed opioids and opioid type. DESIGN: We performed unadjusted and adjusted time-updated Cox regressions to assess the association between opioid exposure and incident AF. PARTICIPANTS: The national study sample was comprised of Veterans enrolled in the Veterans Health Administration (VHA) who served in support of post-9/11 operations. MAIN MEASURES: The main predictor of interest was prescription opioid exposure, which was treated as a time-dependent variable. The first was any opioid exposure (yes/no). Secondary was opioid type. The outcome, incident AF, was identified through ICD-9-CM diagnostic codes at any primary care visit after the baseline period. KEY RESULTS: A total of 609,763 veterans (mean age: 34 years and 13.24% female) were included in our study. Median follow-up time was 4.8 years. Within this cohort, 124,395 veterans (20.40%) were prescribed an opioid. A total of 1,455 Veterans (0.24%) were diagnosed with AF. In adjusted time-updated Cox regressions, the risk of incident AF was higher in the veterans prescribed opioids (hazard ratio [HR]: 1.47; 95% confidence interval [CI]: 1.38-1.57). In adjusted time-updated Cox regressions, both immunomodulating and nonimmunomodulating opioid type was associated with increased risk of incident AF (HR: 1.40; 95% CI: 1.25-1.57 and HR: 1.49; 95% CI: 1.39-1.60), compared to no opioid use, respectively. CONCLUSIONS: Our findings suggest opioid prescription may be a modifiable risk factor for the development of AF.

Risk of Serious Adverse Gastrointestinal Events with Potassium Binders in Hospitalized Patients: A National Study.

BACKGROUND: Concerns about serious adverse gastrointestinal (GI) events with sodium polystyrene sulfonate (SPS) led to development of two new potassium binders, patiromer and sodium zirconium cyclosilicate (SZC), for treatment of hyperkalemia. OBJECTIVE: To compare risk of intestinal ischemia/thrombosis or other serious GI events associated with SPS, patiromer, or SZC in hospitalized patients. DESIGN: Retrospective cohort study. PARTICIPANTS: National sample of 3,144,960 veterans hospitalized 2016-2022 in the U.S. Department of Veterans Affairs Healthcare System. MAIN MEASURES: Demographics, comorbidities, medications and outcomes were ascertained from the VA Corporate Data Warehouse. Exposures were SPS, patiromer, SZC. Outcomes were 30-day intestinal ischemia/thrombosis, and a composite of intestinal ischemia/thrombosis, peptic ulcer/perforation or bowel resection/ostomy. KEY RESULTS: Potassium binders were used during 39,270 (1.3%) hospitalizations: SPS = 30,040 (1.0%), patiromer = 3,750 (0.1%), and SZC = 5,520 (0.2%). Intestinal ischemia/thrombosis occurred with 106/30,040 (0.4%) SPS, 12/3750 (0.3%) patiromer and 24/5520 (0.4%) SZC, vs. 6998/3,105,650 (0.2%) without potassium binder. Adjusted odds ratios (aOR) were 1.40 [95% CI, 1.16 to 1.69] with SPS, 1.36 [CI, 0.79 to 2.36] with patiromer, and 1.78 [CI, 1.21 to 2.63] with SZC exposures. Composite GI adverse events occurred with 754/30,040 (2.5%) SPS, 96/3750 (2.6%) patiromer, 2.6% SZC, vs. 144/5520 (2.4%) without binder; aOR were 1.00 [CI, 0.94 to 1.08] with SPS, 1.08 [CI, 0.89 to 1.32] with patiromer, and 1.08 [CI, 0.93 to 1.27] with SZC exposures. No statistical difference in intestinal ischemia/thrombosis between each new agent and SPS was seen (p = 0.274 for SPS vs. SZC; p = 0.916 for SPS vs. patiromer). CONCLUSION: Risk of intestinal ischemia/thrombosis or other serious adverse GI events was low and did not differ across three potassium-binding drugs.

Factors associated with participation in a walking intervention for veterans who smoke and have chronic pain.

This analysis was part of the Pain and Smoking Study (PASS), a randomized trial of a cognitive behavioral intervention (CBI) for Veterans with chronic pain who smoke. The objective of this study was to examine factors associated with participation in the walking component of the intervention. Demographics and clinical characteristics were obtained at baseline. Completion of two or more CBI counseling sessions was required to be included in analyses. Average daily step counts obtained via pedometer in the prior week were recorded in up to three telephone counseling sessions. Participants were then categorized as "sedentary" (≤ 4999 daily steps) or "not sedentary" (≥ 5000 daily steps). Multivariable logistic regression was used to model variance in activity categorization. Overall, 91.0% of participants were men, 70.5% were white, mean age was 58.4 years, mean BMI was 28.6, median pack years was 20.5, and 43.8% were depressed. Veterans reported moderate pain intensity (4.9/10) and pain interference (5.4/10). Pain locations included: lower extremity (67.4%), back (53.4%) and upper extremity (28.1%). Median daily steps were 2491 [IQR: 1720-3550] (sedentary) (n = 65), 7307 [IQR: 5952-8533] (not sedentary) (n = 24), and 3196 [IQR: 2237-5067] (overall) (n = 89). Veterans with older age (odds ratio (OR): 1.10, 95% confidence interval (CI): 1.04, 1.17) and presence of LE pain (OR: 5.98, 95% CI: 1.82, 19.65) had increased odds of being "sedentary." Integrated smoking cessation and chronic pain self-management interventions that include a walking component may need to consider the impact of age and pain location on participation.Trial registration: The trial is registered at www.ClinicalTrials.gov (NCT02971137). First posted on November 22, 2016.

Characteristics Associated with Spirometry Guideline Adherence in VA Patients Hospitalized with Chronic Obstructive Pulmonary Disease.

BACKGROUND: The Global Initiative for Chronic Obstructive Lung Disease (GOLD) recommends at least annual spirometry for patients with chronic obstructive pulmonary disease (COPD). Since spirometry acquisition is variable in clinical practice, identifying characteristics associated with annual spirometry may inform strategies to improve care for patients with COPD. METHODS: We included veterans hospitalized for COPD at Veterans Health Administration (VHA) facilities from 10/2012 to 09/2015. Our primary outcome was spirometry within 1 year of COPD hospitalization. Patient demographics, health factors, and comorbidities as well as practice and geographic variables were identified using Corporate Data Warehouse; provider characteristics were obtained from the Survey of Healthcare Experiences of Patients. We used logistic regression with a random intercept to account for potential clustering within facilities. RESULTS: Spirometry was completed 1 year before or after hospitalization for 20,683/38,148 (54.2%) veterans across 114 facilities. Patients with spirometry were younger, (mean=67.2 years (standard deviation (SD)=9.3) vs. 69.4 (10.3)), more likely non-white (21.3% vs. 19.7%), and more likely to have comorbidities (p<0.0001 for asthma, depression, and post-traumatic stress disorder). Pulmonary clinic visit was most strongly associated with spirometry (odds ratio (OR)=3.14 [95% confidence interval 2.99-3.30]). There was no association for facility complexity. In a secondary analysis including provider-level data (3862 patients), results were largely unchanged. There was no association between primary care provider age, gender, or type (physician vs. advanced practice registered nurse vs. physician assistant) and spirometry. CONCLUSION: In a cohort of high-risk COPD patients, just over half completed spirometry within 1 year of hospitalization. Pulmonary clinic visit was most strongly associated with 1-year spirometry, though provider variables were not. Spirometry completion for high-risk COPD patients remains suboptimal and strategies to improve post-hospitalization care for patients not seen in pulmonary clinic should be developed to ensure guideline concordant care.

A Systems Approach for Assessing Low Back Pain Care Quality in Veterans Health Administration Chiropractic Visits: A Cross-Sectional Analysis.

OBJECTIVE: The purpose of this study was to explore a systemwide process for assessing components of low back pain (LBP) care quality in Veterans Health Administration (VHA) chiropractic visits using electronic health record (EHR) data. METHODS: We performed a cross-sectional quality improvement project. We randomly sampled 1000 on-station VHA chiropractic initial visits occurring from October 1, 2017, to September 30, 2018, for patients with no such visits within the prior 12 months. Characteristics of LBP visits were extracted from VHA national EHR data via structured data queries and manual chart review. We developed quality indicators for history and/or examination and treatment procedures using previously published literature and calculated frequencies of visits meeting these indicators. Visits meeting our history and/or examination and treatment indicators were classified as "high-quality" visits. We performed a regression analysis to assess associations between demographic/clinical characteristics and visits meeting our quality criteria. RESULTS: There were 592 LBP visits identified. Medical history, physical examination, and neurologic examination were documented in 76%, 77%, and 63% of all LBP visits, respectively. Recommended treatments, such as any manipulation, disease-specific education/advice, and therapeutic exercise, occurred in 75%, 69%, and 40% of chronic visits (n = 383), respectively. In acute/subacute visits (n = 37), any manipulation (92%), manual soft tissue therapy (57%), and disease-specific advice/education (54%) occurred most frequently. Female patients and those with a neck pain comorbid diagnosis were significantly less likely to have a "high-quality" visit, while other regression associations were non-significant. CONCLUSION: This study explored a systemwide process for assessing components of care quality in VHA chiropractic visits for LBP. These results produced a potential framework for uniform assessment of care quality in VHA chiropractic visits for LBP and highlight potential areas for improvements in LBP care quality assessments.

Evidence of Racial Disparities in the Lung Cancer Screening Process: a Systematic Review and Meta-Analysis.

BACKGROUND: Annual lung cancer screening (LCS) with low-dose chest computed tomography for high-risk individuals reduces lung cancer mortality, with greater reduction observed in Black participants in clinical trials. While racial disparities in lung cancer mortality exist, less is known about disparities in LCS participation. We conducted a systematic review to explore LCS participation in Black compared with White patients in the USA. METHODS: A systematic review was conducted through a search of published studies in MEDLINE, PubMed, EMBASE, Web of Science, and Cumulative Index to Nursing and Allied-Health Literature Database, from database inception through October 2020. We included studies that examined rates of LCS participation and compared rates by race. Studies were pooled using random-effects meta-analysis. RESULTS: We screened 18,300 titles/abstracts; 229 studies were selected for full-text review, of which nine studies met inclusion criteria. Studies were categorized into 2 groups: studies that reported the screening rate among an LCS-eligible patient population, and studies that reported the screening rate among a patient population referred for LCS. Median LCS participation rates were 14.4% (range 1.7 to 62.6%) for eligible patient studies and 68.5% (range 62.6 to 88.8%) for referred patient studies. The meta-analyses showed screening rates were lower in the Black compared to White population among the LCS-eligible patient studies ([OR]=0.43, [95% CI: 0.25, 0.74]). However, screening rates were the same between Black and White patients in the referred patient studies (OR=0.94, [95% CI: 0.74, 1.19]). DISCUSSION: Black LCS-eligible patients are being screened at a lower rate than White patients but have similar rates of participation once referred. Differences in referrals by providers may contribute to the racial disparity in LCS participation. More studies are needed to identify barriers to LCS referral and develop interventions to increase provider awareness of the importance of LCS in Black patients. Trial Registry PROSPERO; No.: CRD42020214213; URL: http://www.crd.york.ac.uk/PROSPERO.

Examining Pregnant Veterans' Acceptance and Beliefs Regarding the COVID-19 Vaccine.

BACKGROUND: Pregnant persons have received mixed messages regarding whether or not to receive COVID-19 vaccines as limited data are available regarding vaccine safety for pregnant and lactating persons and breastfeeding infants. OBJECTIVE: The aims of this study were to examine pregnant Veteran's acceptance of COVID-19 vaccines, along with perceptions and beliefs regarding vaccine safety and vaccine conspiracy beliefs. DESIGN AND PARTICIPANTS: We conducted a cross-sectional survey of pregnant Veterans enrolled in VA care who were taking part in an ongoing cohort study at 15 VA medical centers between January and May 2021. MAIN MEASURES: Pregnant Veterans were asked whether they had been offered the COVID-19 vaccine during pregnancy, and whether they chose to accept or refuse it. Additional questions focused on perceptions of COVID-19 vaccine safety and endorsements of vaccine knowledge and conspiracy beliefs. Logistic regression was utilized to examine predictors of acceptance of a vaccine during pregnancy. KEY RESULTS: Overall, 72 pregnant Veterans were offered a COVID-19 vaccine during pregnancy; over two-thirds (69%) opted not to receive a vaccine. Reasons for not receiving a vaccine included potential effects on the baby (64%), side effects for oneself (30%), and immunity from a past COVID-19 infection (12%). Those who received a vaccine had significantly greater vaccine knowledge and less belief in vaccine conspiracy theories. Greater knowledge of vaccines in general (aOR: 1.78; 95% CI: 1.2-2.6) and lower beliefs in vaccine conspiracies (aOR: 0.76; 95% CI: 0.6-0.9) were the strongest predictors of acceptance of a COVID-19 vaccine during pregnancy. CONCLUSIONS: Our study provides important insights regarding pregnant Veterans' decisions to accept the COVID-19 vaccine, and reasons why they may choose not to accept the vaccine. Given the high endorsement of vaccine conspiracy beliefs, trusted healthcare providers should have ongoing, open discussions about vaccine conspiracy beliefs and provide additional information to dispel these beliefs.

Perceived Pain and Smoking Interrelations Among Veterans with Chronic Pain Enrolled in a Smoking Cessation Trial.

INTRODUCTION: The Pain and Smoking Inventory (PSI) measures patients' perceived interrelations of their pain and smoking behavior, and it comprises three conceptually distinct domains: smoking to cope with pain (PSI-Cope), pain as a motivator of smoking (PSI-Motivate), and pain as a barrier to cessation (PSI-Barrier). Associations between PSI scores and pain interference and self-efficacy to quit smoking, two measures that can affect cessation outcomes, remain unclear. METHODS: We conducted a secondary analysis of baseline data from 371 veterans with chronic pain (88% male, Medianage =60) enrolled in a randomized smoking cessation trial. We used sequential multivariate regression models to examine associations between the three PSI domains and pain interference / self-efficacy. RESULTS: Of 371 veterans who completed baseline surveys, 88% were male, with a median age of 60 years. PSI-Motivate scores were positively associated with pain interference (beta [B]: 0.18, 95% confidence interval [CI]: 0.02 to 0.34). PSI-Barrier subscores were negatively associated with self-efficacy (B: -0.23, 95% CI: -0.36 to -0.10). CONCLUSION: Findings suggest that individuals who hold maladaptive perceptions of pain-smoking interrelations could be more likely to endorse higher pain interference and lower self-efficacy-two established predictors of cessation outcomes. Moreover, each PSI subscale demonstrated unique relationships with the dependent variables, and our results provided support for a three-factor structure. These findings further demonstrate that the PSI comprises three conceptually and empirically distinct domains; future research should evaluate the clinical utility of assessing each domain in relation to cessation outcomes.

Racial Differences in the Cesarean Section Rates Among Women Veterans Using Department of Veterans Affairs Community Care.

BACKGROUND: Racial disparities in maternal morbidity and mortality remain a pressing public health problem. Variations in cesarean section (C-section) rates among racial and ethnic groups have been well documented, though reasons for these variations remain unknown. In the Department of Veterans Affairs (VA), nearly half of all women Veterans are of reproductive age and >40% of these women are racial and ethnic minorities. Because the VA does not provide obstetrical services, all obstetrical care is provided by community obstetrical providers under the auspices of the VA Community Care Network. However, little is known regarding the rates and correlates of C-sections among women Veterans receiving community obstetrical care. OBJECTIVE: To examine predictors of C-section deliveries among a cohort of racially diverse pregnant Veterans enrolled in VA care at 15 VA medical facilities nationwide. RESEARCH DESIGN: Cross-sectional analysis of a longitudinal, prospective, multisite, observational cohort study of pregnant, and postpartum Veterans receiving community-based obstetrical care. RESULTS: Overall, 659 Veterans delivered babies during the study period, and 35% of the deliveries were C-sections. Predictors of C-section receipt included being a woman of color [adjusted odds ratio (AOR), 1.76; 95% confidence interval (CI), 1.19-2.60], having an Edinburgh Postnatal Depression Scale score ≥10 (AOR, 1.71; 95% CI, 1.11-2.65), having a higher body mass indexes (AOR, 1.07; 95% CI, 1.04-1.11), and women who were older (AOR, 1.08; 95% CI, 1.03-1.13). There was a substantial racial variation in C-section rates across our 15 study sites, with C-section rates meeting or exceeding 50% for WOC in 8 study sites. CONCLUSIONS: There is substantial racial and geographic variation in C-section rates among pregnant Veterans receiving obstetrical care through VA community care providers. Future research should carefully examine variations in C-sections by the hospital, and which providers and hospitals are included in VA contracts. There should also be an increased focus on the types of providers women Veterans have access to for obstetrical care paid for by the VA and the quality of care delivered by those providers.

ICD-10 Coding of Musculoskeletal Conditions in the Veterans Health Administration.

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.

Facility Variation in Troponin Ordering Within the Veterans Health Administration.

BACKGROUND: Current United States guidelines recommend troponin as the preferred biomarker in assessing for acute coronary syndrome, but recommendations are limited about which patients to test. Variations in troponin ordering may influence downstream health care utilization. METHODS: We performed a cross-sectional analysis of 3,308,131 emergency department (ED) visits in all 121 acute care facilities within the Veterans Health Administration from 2015 to 2017. We quantified the degree to which case mix and facility characteristics accounted for variations in facility rates in troponin ordering. We then assessed the association between facility quartiles of risk-adjusted troponin ordering and downstream resource utilization [inpatient admissions, noninvasive testing (stress tests, echocardiograms), and invasive procedures (coronary angiograms, percutaneous coronary interventions, and coronary artery bypass grafting surgeries)]. RESULTS: The proportion of ED visits with troponin orders ranged from 2.2% to 64.5%, with a median of 37.1%. Case mix accounted for 9.5% of the variation in troponin orders; case mix and differences in facility characteristics accounted for 34.6%. Facilities in the highest quartile of troponin ordering, as compared with those in the lowest quartile, had significantly higher rates of inpatient admissions, stress tests, echocardiograms, coronary angiograms, and percutaneous coronary intervention. CONCLUSIONS: Significant variation in troponin utilization exists across Veterans Health Administration facilities and that variation is not well explained by case mix alone. Facilities with higher rates of troponin ordering were associated with more downstream resource utilization.

The Association Between Prescribed Opioid Receipt and Community-Acquired Pneumonia in Adults: a Systematic Review and Meta-analysis.

BACKGROUND: In the current opioid epidemic, opioid addiction and overdose deaths are a public health crisis. Researchers have uncovered other concerning findings related to opioid use, such as the association between prescribed opioids and respiratory infection, including pneumonias. Potential mechanisms include the immunosuppressive effects of certain opioids, respiratory depression, and cough suppression. We conducted a systematic review assessing whether prescribed opioid receipt is a risk factor for community-acquired pneumonia (CAP). METHODS: A systematic literature search of published studies was conducted using Ovid MEDLINE, Cochrane Central Register of Controlled Trials (CENTRAL), Embase, Web of Science, AMED, and CINAHL from database inception through March 11, 2020. We included any clinical trial, cohort, or case-control study that reported an association between prescribed opioid receipt and CAP in adults. Two reviewers independently performed data extraction and quality assessment using the Newcastle-Ottawa Quality Assessment Scale. The risk of CAP from prescribed opioid receipt was studied by pooling studies using random effects meta-analysis. RESULTS: We identified 3229 studies after removing duplicates. After detailed selection, 33 articles were reviewed in full and eight studies (representing 567,472 patients) met inclusion criteria. The pooled effect for the four case-control studies and three cohort studies showed a significant increase in the risk of CAP requiring hospitalization among those with prescribed opioid receipt compared with those without opioid prescribed receipt (OR 1.57 [95% CI (1.34, 1.84)]; HR 1.18 [95% CI (1.00, 1.40)]). CONCLUSION: The findings suggest prescribed opioid receipt is a risk factor for CAP. The included studies examined post-operative patients and patients with chronic medical conditions. Further research is needed to examine the impact of opioids on the incidence of CAP in an otherwise healthy population.

Rate of Preventable Mortality in Hospitalized Patients: a Systematic Review and Meta-analysis.

BACKGROUND: The number of preventable inpatient deaths in the USA is commonly estimated as between 44,000 and 98,000 deaths annually. Because many inpatient deaths are believed to be preventable, mortality rates are used for quality measures and reimbursement. We aimed to estimate the proportion of inpatient deaths that are preventable. METHODS: A systematic literature search of Medline, Embase, Web of Science, and the Cochrane Library through April 8, 2019, was conducted. We included case series of adult patients who died in the hospital and were reviewed by physicians to determine if the death was preventable. Two reviewers independently performed data extraction and study quality assessment. The proportion of preventable deaths from individual studies was pooled using a random-effects model. RESULTS: Sixteen studies met inclusion criteria. Eight studies of consecutive or randomly selected cohorts including 12,503 deaths were pooled. The pooled rate of preventable mortality was 3.1% (95% CI 2.2-4.1%). Two studies also reported rates of preventable mortality limited to patients expected to live longer than 3 months, ranging from 0.5 to 1.0%. In the USA, these estimates correspond to approximately 22,165 preventable deaths annually and 7150 deaths for patients with greater than 3-month life expectancy. DISCUSSION: The number of deaths due to medical error is lower than previously reported and the majority occur in patients with less than 3-month life expectancy. The vast majority of hospital deaths are due to underlying disease. Our results have implications for the use of hospital mortality rates for quality reporting and reimbursement. STUDY REGISTRATION: PROSPERO registration number CRD42018095140.

Association of prescription opioids and incident cardiovascular risk factors among post-9/11 Veterans.

Reports indicate that long-term opioid therapy is associated with cardiovascular disease (CVD). Using VA electronic health record data, we measured the impact of opioid use on the incidence of modifiable CVD risk factors. We included Veterans whose encounter was between October 2001 to November 2014. We identified Veterans without CVD risk factors during our baseline period, defined as the date of first primary care visit plus 365 days. The main exposure was opioid prescriptions (yes/no, long-term (i.e. ≥90 days) vs no opioid, and long-term vs short-term (i.e. <90 days)), which was time-updated yearly from the end of the baseline period to February 2015. The main outcome measures were incident CVD risk factors (hypertension, dyslipidemia, diabetes, obesity, and current smoking). After excluding prevalent CVD risk factors, we identified 308,015 Veterans. During the first year of observation, 12,725 (4.1%) Veterans were prescribed opioids, including 2028 (0.6%) with long-term exposure. Compared to patients without opioid use, Veterans with opioid use were more likely to have CVD risk factors. Those with long-term exposure were at higher risk of having hypertension (adjusted average hazards ratio [HR] 1.45, 99% confidence interval [CI] 1.33-1.59), dyslipidemia (HR 1.45, 99% CI 1.35-156), diabetes (HR 1.30, 99% CI 1.07-1.57), current smoking status (HR 1.34, 99% CI 1.24-1.46), and obesity (HR 1.22, 99% CI 1.12-1.32). Compared to short-term exposure, long-term had higher risk of current smoking status (HR 1.12, 99% CI 1.01-1.24). These findings suggest potential benefit to screening and surveillance of CVD risk factors for patients prescribed opioids, especially long-term opioid therapy.

Association Between Chiropractic Use and Opioid Receipt Among Patients with Spinal Pain: A Systematic Review and Meta-analysis.

OBJECTIVE: To investigate the current evidence to determine if there is an association between chiropractic use and opioid receipt. DESIGN: Systematic review and meta-analysis. METHODS: The protocol for this review was registered on PROSPERO (CRD42018095128). The MEDLINE, PubMed, EMBASE, AMED, CINAHL, and Web of Science databases were searched for relevant articles from database inception through April 18, 2018. Controlled studies, cohort studies, and case-control studies including adults with noncancer pain were eligible for inclusion. Studies reporting opioid receipt for both subjects who used chiropractic care and nonusers were included. Data extraction and risk of bias assessment were completed independently by pairs of reviewers. Meta-analysis was performed and presented as an odds ratio with 95% confidence interval. RESULTS: In all, 874 articles were identified. After detailed selection, 26 articles were reviewed in full, and six met the inclusion criteria. Five studies focused on back pain and one on neck pain. The prevalence of chiropractic care among patients with spinal pain varied between 11.3% and 51.3%. The proportion of patients receiving an opioid prescription was lower for chiropractic users (range = 12.3-57.6%) than nonusers (range = 31.2-65.9%). In a random-effects analysis, chiropractic users had a 64% lower odds of receiving an opioid prescription than nonusers (odds ratio = 0.36, 95% confidence interval = 0.30-0.43, P < 0.001, I2 = 92.8%). CONCLUSIONS: This review demonstrated an inverse association between chiropractic use and opioid receipt among patients with spinal pain. Further research is warranted to assess this association and the implications it may have for case management strategies to decrease opioid use.

Stakeholder Engagement in Pragmatic Clinical Trials: Emphasizing Relationships to Improve Pain Management Delivery and Outcomes.

BACKGROUND: The NIH-DOD-VA Pain Management Collaboratory (PMC) supports 11 pragmatic clinical trials (PCTs) on nonpharmacological approaches to management of pain and co-occurring conditions in U.S. military and veteran health organizations. The Stakeholder Engagement Work Group is supported by a separately funded Coordinating Center and was formed with the goal of developing respectful and productive partnerships that will maximize the ability to generate trustworthy, internally valid findings directly relevant to veterans and military service members with pain, front-line primary care clinicians and health care teams, and health system leaders. The Stakeholder Engagement Work Group provides a forum to promote success of the PCTs in which principal investigators and/or their designees discuss various stakeholder engagement strategies, address challenges, and share experiences. Herein, we communicate features of meaningful stakeholder engagement in the design and implementation of pain management pragmatic trials, across the PMC. DESIGN: Our collective experiences suggest that an optimal stakeholder-engaged research project involves understanding the following: i) Who are research stakeholders in PMC trials? ii) How do investigators ensure that stakeholders represent the interests of a study's target treatment population, including individuals from underrepresented groups?, and iii) How can sustained stakeholder relationships help overcome implementation challenges over the course of a PCT? SUMMARY: Our experiences outline the role of stakeholders in pain research and may inform future pragmatic trial researchers regarding methods to engage stakeholders effectively.

Correlates of sleep quality and excessive daytime sleepiness in people with opioid use disorder receiving methadone treatment.

PURPOSE: The aim of this study was to evaluate the prevalence and clinical correlates of impaired sleep quality and excessive daytime sleepiness among patients receiving methadone for opioid use disorder (OUD). METHODS: Patients receiving methadone (n = 164) completed surveys assessing sleep quality (Pittsburgh Sleep Quality Index [PSQI]), daytime sleepiness (Epworth Sleepiness Scale [ESS]), and related comorbidities. We used bivariate and multivariable linear regression models to evaluate correlates of sleep quality and daytime sleepiness. RESULTS: Ninety percent of patients had poor sleep quality (PSQI >5), and the mean PSQI was high (11.0 ±4). Forty-six percent reported excessive daytime sleepiness (ESS > 10). In multivariable analyses, higher PSQI (worse sleep quality) was significantly associated with pain interference (coefficient = 0.40; 95% CI = 0.18-0.62; ß = 0.31), somatization (coefficient = 2.2; 95% CI = 0.75-3.6; ß = 0.26), and negatively associated with employment (coefficient = - 2.6; 95% CI = - 4.9 to - 0.19; ß = - 0.17). Greater sleepiness was significantly associated with body mass index (coefficient = 0.32; 95% CI = 0.18-0.46; ß = 0.33), and there was a non-significant association between sleepiness and current chronic pain (coefficient = 1.6; 95% CI = 0.26-3.5; ß = 0.13; p value = 0.09). CONCLUSIONS: Poor sleep quality and excessive daytime sleepiness are common in patients receiving methadone for OUD. Chronic pain, somatization, employment status, and obesity are potentially modifiable risk factors for sleep problems for individuals maintained on methadone. People with OUD receiving methadone should be routinely and promptly evaluated and treated for sleep disorders.

Patient and provider barriers, facilitators, and implementation preferences of intimate partner violence perpetration screening.

BACKGROUND: The substantial prevalence and consequences of intimate partner violence (IPV) underscore the need for effective healthcare response in the way of screening and follow up care. Despite growing evidence regarding perspectives on healthcare-based screening for IPV experiences (i.e., victimization), there is an extremely limited evidence-base to inform practice and policy for detecting IPV use (i.e., perpetration). This study identified barriers, facilitators, and implementation preferences among United States (US) Veterans Health Administration (VHA) patients and providers for IPV use screening. METHODS: We conducted qualitative interviews with patients enrolled in VHA healthcare (N = 10) and focus groups with VHA providers across professional disciplines (N = 29). Data was analyzed using thematic and content analyses. RESULTS: Qualitative analysis revealed convergence between patients' and providers' beliefs regarding key factors for IPV use screening, including the importance of a strong rapport, clear and comprehensive processes and procedures, universal implementation of screening, and a self-report screening tool that assesses for both IPV use and experiences concurrently. CONCLUSIONS: Findings provide foundational information regarding patient and provider barriers, facilitators, and preferences for IPV use screening that can inform clinical practice and next steps in this important but understudied aspect of healthcare.

Effect of Adding Telephone-Based Brief Coaching to an mHealth App (Stay Strong) for Promoting Physical Activity Among Veterans: Randomized Controlled Trial.

BACKGROUND: Though maintaining physical conditioning and a healthy weight are requirements of active military duty, many US veterans lose conditioning and rapidly gain weight after discharge from active duty service. Mobile health (mHealth) interventions using wearable devices are appealing to users and can be effective especially with personalized coaching support. We developed Stay Strong, a mobile app tailored to US veterans, to promote physical activity using a wrist-worn physical activity tracker, a Bluetooth-enabled scale, and an app-based dashboard. We tested whether adding personalized coaching components (Stay Strong+Coaching) would improve physical activity compared to Stay Strong alone. OBJECTIVE: The goal of this study is to compare 12-month outcomes from Stay Strong alone versus Stay Strong+Coaching. METHODS: Participants (n=357) were recruited from a national random sample of US veterans of recent wars and randomly assigned to the Stay Strong app alone (n=179) or Stay Strong+Coaching (n=178); both programs lasted 12 months. Personalized coaching components for Stay Strong+Coaching comprised of automated in-app motivational messages (3 per week), telephone-based human health coaching (up to 3 calls), and personalized weekly goal setting. All aspects of the enrollment process and program delivery were accomplished virtually for both groups, except for the telephone-based coaching. The primary outcome was change in physical activity at 12 months postbaseline, measured by average weekly Active Minutes, captured by the Fitbit Charge 2 device. Secondary outcomes included changes in step counts, weight, and patient activation. RESULTS: The average age of participants was 39.8 (SD 8.7) years, and 25.2% (90/357) were female. Active Minutes decreased from baseline to 12 months for both groups (P<.001) with no between-group differences at 6 months (P=.82) or 12 months (P=.98). However, at 12 months, many participants in both groups did not record Active Minutes, leading to missing data in 67.0% (120/179) for Stay Strong and 61.8% (110/178) for Stay Strong+Coaching. Average baseline weight for participants in Stay Strong and Stay Strong+Coaching was 214 lbs and 198 lbs, respectively, with no difference at baseline (P=.54) or at 6 months (P=.28) or 12 months (P=.18) postbaseline based on administrative weights, which had lower rates of missing data. Changes in the number of steps recorded and patient activation also did not differ by arm. CONCLUSIONS: Adding personalized health coaching comprised of in-app automated messages, up to 3 coaching calls, plus automated weekly personalized goals, did not improve levels of physical activity compared to using a smartphone app alone. Physical activity in both groups decreased over time. Sustaining long-term adherence and engagement in this mHealth intervention proved difficult; approximately two-thirds of the trial's 357 participants failed to sync their Fitbit device at 12 months and, thus, were lost to follow-up. TRIAL REGISTRATION: ClinicalTrials.gov NCT02360293; https://clinicaltrials.gov/ct2/show/NCT02360293. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.2196/12526.

Underutilization of Pulmonary Function Testing in Veterans Hospitalized for Chronic Obstructive Pulmonary Disease Exacerbation: Who are We Missing?

Pulmonary function testing (PFT) is required to diagnose chronic obstructive pulmonary disease (COPD) but is completed for only 30-50% of patients with the disease. We determined patient factors associated with decreased likelihood for PFT acquisition (i.e. underutilization) in the United States Veterans Affairs (VA) health care system.We performed a retrospective analysis of Veterans who survived a VA-based COPD hospitalization between 2012 and 2015. COPD was identified using International Classification of Disease (ICD)-9 codes. Our primary outcome was PFT acquisition, using Current Procedural Terminology (CPT) codes any time prior to the index hospitalization. We compared patients with and without PFTs and used logistic regression to identify associations with PFT underutilization.Of the 48,888 Veterans included, 78% underwent PFTs prior to hospitalization. Patients without PFTs were younger and more likely to be: women (4.2% vs. 3.6%; p = 0.01), nonwhite (22% vs. 19%; p < 0.0001), and current smokers (66% vs 61%; p < 0.0001). PFT acquisition was less likely in Veterans with alcohol and drug use disorders. Using logistic regression, Veterans who were women (Odds Ratio (OR) = 1.17 [95% confidence limit 1.03-1.32]), nonwhite (OR 1.12 [1.06-1.20]), and with a history of alcohol (OR = 1.07 [1.00-1.14]) or drug use disorders (OR = 1.15 [1.06-1.24]) were less likely to undergo PFTs.Though most Veterans hospitalized for COPD had PFTs prior to admission, PFTs are underutilized in Veterans who are: women, younger, nonwhite, and have alcohol or drug use disorders. These groups may be "at-risk" for delayed diagnosis or substandard COPD quality care.