County-Level Factors Associated With Influenza and COVID-19 Vaccination in Indiana, 2020‒2022.

Objectives. To assess COVID-19 and influenza vaccination rates across Indiana's 92 counties and identify county-level factors associated with vaccination. Methods. We analyzed county-level data on adult COVID-19 vaccination from the Indiana vaccine registry and 2021 adult influenza vaccination from the Centers for Disease Control and Prevention. We used multiple linear regression (MLR) to determine county-level predictors of vaccinations. Results. COVID-19 vaccination ranged from 31.2% to 87.6% (mean = 58.0%); influenza vaccination ranged from 33.7% to 53.1% (mean = 42.9%). In MLR, COVID-19 vaccination was significantly associated with primary care providers per capita (b = 0.04; 95% confidence interval [CI] = 0.02, 0.05), median household income (b = 0.23; 95% CI = 0.12, 0.34), percentage Medicare enrollees with a mammogram (b = 0.29; 95% CI = 0.08, 0.51), percentage uninsured (b = -1.22; 95% CI = -1.57, -0.87), percentage African American (b = 0.31; 95% CI = 0.19, 0.42), percentage female (b = -0.97; 95% CI = -1.79, ‒0.15), and percentage who smoke (b = -0.75; 95% CI = -1.26, -0.23). Influenza vaccination was significantly associated with percentage uninsured (b = 0.71; 95% CI = 0.22, 1.21), percentage African American (b = -0.07; 95% CI = -0.13, -0.01), percentage Hispanic (b = -0.28; 95% CI = -0.40, -0.17), percentage who smoke (b = -0.85; 95% CI = -1.06, -0.64), and percentage who completed high school (b = 0.54; 95% CI = 0.21, 0.87). The MLR models explained 86.7% (COVID-19) and 70.2% (influenza) of the variance. Conclusions. Factors associated with COVID-19 and influenza vaccinations varied. Variables reflecting access to care (e.g., insurance) and higher risk of severe disease (e.g., smoking) are notable. Programs to improve access and target high-risk populations may improve vaccination rates. (Am J Public Health. 2024;114(4):415-423. https://doi.org/10.2105/AJPH.2023.307553).

Development and validation of a model predicting mild stroke severity on admission using electronic health record data.

OBJECTIVE: Initial stroke severity is a potent modifier of stroke outcomes but this information is difficult to obtain from electronic health record (EHR) data. This limits the ability to risk-adjust for evaluations of stroke care and outcomes at a population level. The purpose of this analysis was to develop and validate a predictive model of initial stroke severity using EHR data elements. METHODS: This observational cohort included individuals admitted to a US Department of Veterans Affairs hospital with an ischemic stroke. We extracted 65 independent predictors from the EHR. The primary analysis modeled mild (NIHSS score 0-3) versus moderate/severe stroke (NIHSS score ≥4) using multiple logistic regression. Model validation included: (1) splitting the cohort into derivation (65%) and validation (35%) samples and (2) evaluating how the predicted stroke severity performed in regard to 30-day mortality risk stratification. RESULTS: The sample comprised 15,346 individuals with ischemic stroke (n = 10,000 derivation; n = 5,346 validation). The final model included 15 variables and correctly classified 70.4% derivation sample patients and 69.4% validation sample patients. The areas under the curve (AUC) were 0.76 (derivation) and 0.76 (validation). In the validation sample, the model performed similarly to the observed NIHSS in terms of the association with 30-day mortality (AUC: 0.72 observed NIHSS, 0.70 predicted NIHSS). CONCLUSIONS: EHR data can be used to construct a surrogate measure of initial stroke severity. Further research is needed to better differentiate moderate and severe strokes, enhance stroke severity classification, and how to incorporate these measures in evaluations of stroke care and outcomes.

Mediators of improved PTSD symptoms in veterans and civilians following a yoga program.

OBJECTIVE: Although yoga shows some promise as an intervention for post-traumatic stress disorder (PTSD), little is known about how yoga reduces PTSD symptoms. The current study hypothesised that aspects of interoceptive awareness would mediate the effect of a yoga intervention on PTSD symptoms. METHODS: We used data from our recently completed randomised controlled trial of a 16-week holistic yoga programme for veterans and civilians diagnosed with PTSD (n = 141) that offered weekly 90-minute sessions. We conducted a mediation analysis using interoceptive awareness and other variables that were associated with PTSD symptom reduction at mid-treatment and treatment end. RESULTS: Although measures of anxiety, interoceptive awareness, and spirituality were identified in individual mediator models, they were no longer found to be significant mediators when examined jointly in multiple mediator models. When examining the multiple mediator models, the strongest mediator of the yoga intervention on PTSD symptoms was mental well-being at mid-treatment and stigma at the treatment end. The total effect of yoga on CAPS and PCL at the treatment end mediated by stigma was 37.1% (-1.81/-4.88) and 33.6% (-1.91/-5.68), respectively. CONCLUSION: Investigation of mental well-being and mental illness stigma as potential mediators is warranted in future studies of yoga as a treatment for PTSD as they may prove to be important foci for yoga interventions.

The Impact of Self-Reported Alcohol, Tobacco, and Recreational Drug Use during Pregnancy on Adverse Pregnancy Outcomes in First-Time Mothers.

OBJECTIVE: The objective of this study was to derive profiles of alcohol, tobacco, and recreational drug use during pregnancy for first-time mothers with latent class growth analysis (LCGA) and determine the association of these classes with the risk of adverse pregnancy outcomes (APO). STUDY DESIGN: A secondary analysis of a prospective cohort of Nulliparous Outcomes in Pregnancy: Monitoring Mothers-to-Be was conducted in eight medical centers across the United States from September 30, 2010, to September 23, 2013. Self-reported use of any alcohol, tobacco, or recreational drugs in the 1 month prior to the visit was assessed at up to four visits throughout pregnancy, and APOs included a composite of preterm birth, hypertensive disorder of pregnancy (HDP), small for gestational age (SGA) infant, or stillbirth, and each adverse outcome separately. RESULTS: Four latent classes were identified from the LCGA for 10,031 nulliparous pregnant women that were on average 26.9 years old (standard deviation [SD] = 5.7) and mostly non-Hispanic White (59.7%). Classes included consistent tobacco users (N = 517, 5.2%), nonusers (N = 8,945, 89.2%), alcohol users (N = 500, 5.0%), and a combination of alcohol/tobacco/drug users (N = 69, 0.7%). Logistic regression demonstrated that the class of tobacco users was more likely to have an APO (odds ratio [OR] = 1.48, 95% confidence interval [CI] = 1.22-1.81), preterm birth (OR = 1.53, 95% CI = 1.15-2.02), and SGA (OR = 1.79, 95% CI = 1.36-2.35) relative to the class of nonusers. The class of alcohol users was more likely to have HDP (OR = 1.37, 95% CI = 1.11-1.70) and less likely to have preterm birth (OR = 0.59, 95% CI = 0.38-0.90) and SGA (OR = 0.61, 95% CI = 0.40-0.93) compared to nonusers. CONCLUSION: Trajectories of substance use are associated with APOs; thus, interventions to mitigate the use when encountered early in pregnancy are warranted. KEY POINTS: · Four classes of substance use were identified.. · Tobacco users were at a higher risk of APO and alcohol users were at higher risk of HDP.. · Mitigation strategies are warranted to reduce APO..

Are newborn outcomes different for term babies who were exposed to antenatal corticosteroids?

BACKGROUND: Antenatal corticosteroids improve newborn outcomes for preterm infants. However, predicting which women presenting for threatened preterm labor will have preterm infants is inaccurate, and many women receive antenatal corticosteroids but then go on to deliver at term. OBJECTIVE: This study aimed to compare the short-term outcomes of infants born at term to women who received betamethasone for threatened preterm labor with infants who were not exposed to betamethasone in utero. STUDY DESIGN: We performed a retrospective cohort study of infants born at or after 37 weeks' gestational age to mothers diagnosed as having threatened preterm labor during pregnancy. The primary neonatal outcomes of interest included transient tachypnea of the newborn, neonatal intensive care unit admission, and small for gestational age and were evaluated for their association with betamethasone exposure while adjusting for covariates using multiple logistic regression. RESULTS: Of 5330 women, 1459 women (27.5%) received betamethasone at a mean gestational age of 32.2±3.3 weeks. The mean age of women was 27±5.9 years and the mean gestational age at delivery was 38.9±1.1 weeks. Women receiving betamethasone had higher rates of maternal comorbidities (P<.001 for diabetes mellitus, asthma, and hypertensive disorder) and were more likely to self-identify as White (P=.022). Betamethasone-exposed neonates had increased rates of transient tachypnea of the newborn, neonatal intensive care unit admission, small for gestational age, hyperbilirubinemia, and hypoglycemia (all, P<.05). Controlling for maternal characteristics and gestational age at delivery, betamethasone exposure was not associated with a diagnosis of transient tachypnea of the newborn (adjusted odds ratio, 1.10; 95% confidence interval, 0.80-1.51), although it was associated with more neonatal intensive care unit admissions (adjusted odds ratio, 1.49; 95% confidence interval, 1.19-1.86) and higher odds of the baby being small for gestational age (adjusted odds ratio, 1.78; 95% confidence interval, 1.48-2.14). CONCLUSION: Compared with women evaluated for preterm labor who did not receive betamethasone, women receiving betamethasone had infants with higher rates of neonatal intensive care unit admission and small for gestational age. Although the benefits of betamethasone to infants born preterm are clear, there may be negative impacts for infants delivered at term.

Prevalence of Advanced Colorectal Neoplasia in Veterans: Effects of Age, Sex, and Race/Ethnicity.

GOAL: We sought to quantify the independent effects of age, sex, and race/ethnicity on risk of colorectal cancer (CRC) and advanced neoplasia (AN) in Veterans. STUDY: We conducted a retrospective, cross-sectional study of Veterans aged 40 to 80 years who had diagnostic or screening colonoscopy between 2002 and 2009 from 1 of 14 Veterans Affairs Medical Centers. Natural language processing identified the most advanced finding and location (proximal, distal). Logistic regression was used to examine the adjusted, independent effects of age, sex, and race, both overall and in screening and diagnostic subgroups. RESULTS: Among 90,598 Veterans [mean (SD) age 61.7 (9.4) y, 5.2% (n=4673) were women], CRC and AN prevalence was 1.3% (n=1171) and 8.9% (n=8081), respectively. Adjusted CRC risk was higher for diagnostic versus screening colonoscopy [odds ratio (OR)=3.79; 95% confidence interval (CI), 3.19-4.50], increased with age, was numerically (but not statistically) higher for men overall (OR=1.53; 95% CI, 0.97-2.39) and in the screening subgroup (OR=2.24; 95% CI, 0.71-7.05), and was higher overall for Blacks and Hispanics, but not in screening. AN prevalence increased with age, and was present in 9.2% of men and 3.9% of women [adjusted OR=1.90; 95% CI, 1.60-2.25]. AN risk was 11% higher in Blacks than in Whites overall (OR=1.11; 95% CI, 1.04-1.20), was no different in screening, and was lower in Hispanics (OR=0.74; 95% CI, 0.55-0.98). Women had more proximal CRC (63% vs. 39% for men; P=0.03), but there was no difference in proximal AN (38.3% for both genders). CONCLUSIONS: Age and race were associated with AN and CRC prevalence. Blacks had a higher overall prevalence of both CRC and AN, but not among screenings. Men had increased risk for AN, while women had a higher proportion of proximal CRC. These findings may be used to tailor when and how Veterans are screened for CRC.

A cognitive systems engineering design approach to improve the usability of electronic order forms for medical consultation.

BACKGROUND: During medical referrals, communication barriers between referring and consulting outpatient clinics delay patients' access to health care. One notable opportunity for reducing these barriers is improved usefulness and usability of electronic medical consultation order forms. The cognitive systems engineering (CSE) design approach focuses on supporting humans in managing cognitive complexity in sociotechnical systems. Cognitive complexity includes communication, decision-making, problem solving, and planning. OBJECTIVE: The objective of this research was to implement a CSE design approach to develop a template that supports the cognitive needs of referring clinicians and improves referral communication. METHODS: We conducted interviews and observations with primary care providers and specialists at two major tertiary, urban medical facilities. Using qualitative analysis, we identified cognitive requirements and design guidelines. Next, we designed user interface (UI) prototypes and compared their usability with that of a currently implemented UI at a major Midwestern medical facility. RESULTS: Physicians' cognitive challenges were summarized in four cognitive requirements and 13 design guidelines. As a result, two UI prototypes were developed to support order template search and completion. To compare UIs, 30 clinicians (referrers) participated in a consultation ordering simulation complemented with the think-aloud elicitation method. Oral comments about the UIs were coded for both content and valence (i.e., positive, neutral, or negative). Across 619 comments, the odds ratio for the UI prototype to elicit higher-valenced comments than the implemented UI was 13.5 (95% CI = [9.2, 19.8]), p < .001. CONCLUSION: This study reinforced the significance of applying a CSE design approach to inform the design of health information technology. In addition, knowledge elicitation methods enabled identification of physicians' cognitive requirements and challenges when completing electronic medical consultation orders. The resultant knowledge was used to derive design guidelines and UI prototypes that were more useful and usable for referring physicians. Our results support the implementation of a CSE design approach for electronic medical consultation orders.

Pilot evaluation of a method to assess prescribers' information processing of medication alerts.

BACKGROUND: Prescribers commonly receive alerts during medication ordering. Prescribers work in a complex, time-pressured environment; to enhance the effectiveness of safety alerts, the effort needed to cognitively process these alerts should be minimized. Methods to evaluate the extent to which computerized alerts support prescribers' information processing are lacking. OBJECTIVE: To develop a methodological protocol to assess the extent to which alerts support prescribers' information processing at-a-glance; specifically, the incorporation of information into their working memory. We hypothesized that the method would be feasible and that we would be able to detect a significant difference in prescribers' information processing with a revised alert display that incorporates warning design guidelines compared to the original alert display. METHODS: A counterbalanced, within-subject study was conducted with 20 prescribers in a human-computer interaction laboratory. We tested a single alert that was displayed in two different ways. Prescribers were informed that an alert would appear for 10s. After the alert was shown, a white screen was displayed, and prescribers were asked to verbally describe what they saw; indicate how many total warnings; and describe anything else they remembered about the alert. We measured information processing via the accuracy of prescribers' free recall and their ability to identify that three warning messages were present. Two analysts independently evaluated participants' responses against a comprehensive catalog of alert elements and then discussed discrepancies until reaching consensus. RESULTS: This feasibility study demonstrated that the method seemed to be effective for evaluating prescribers' information processing of medication alert displays. With this method, we were able to detect significant differences in prescribers' recall of alert information. The proportion of total data elements that prescribers were able to accurately recall was significantly greater for the revised versus original alert display (p=0.006). With the revised display, more prescribers accurately reported that three warnings were shown (p=0.002). CONCLUSIONS: The methodological protocol was feasible for evaluating the alert display and yielded important findings on prescribers' information processing. Study methods supplement traditional usability evaluation methods and may be useful for evaluating information processing of other healthcare technologies.

Design and Evaluation of an Electronic Override Mechanism for Medication Alerts to Facilitate Communication Between Prescribers and Pharmacists.

BACKGROUND: Computerized medication alerts can often be bypassed by entering an override rationale, but prescribers' override reasons are frequently ambiguous to pharmacists who review orders. OBJECTIVE: To develop and evaluate a new override mechanism for adverse reaction and drug-drug interaction alerts. We hypothesized that the new mechanism would improve usability for prescribers and increase the clinical appropriateness of override reasons. METHODS: A counterbalanced, crossover study was conducted with 20 prescribers in a simulated prescribing environment. We modified the override mechanism timing, navigation, and text entry. Instead of free-text entry, the new mechanism presented prescribers with a predefined set of override reasons. We assessed usability (learnability, perceived efficiency, and usability errors) and used a priori criteria to evaluate the clinical appropriateness of override reasons entered. RESULTS: Prescribers rated the new mechanism as more efficient (Wilcoxon signed-rank test, P = 0.032). When first using the new design, 5 prescribers had difficulty finding the new mechanism, and 3 interpreted the navigation to mean that the alert could not be overridden. The number of appropriate override reasons significantly increased with the new mechanism compared with the original mechanism (median change of 3.0; interquartile range = 3.0; P < 0.0001). CONCLUSIONS: When prescribers were given a menu-based choice for override reasons, clinical appropriateness of these reasons significantly improved. Further enhancements are necessary, but this study is an important first step toward a more standardized menu of override choices. Findings may be used to improve communication through e-prescribing systems between prescribers and pharmacists.

Current practice patterns in cervical cancer screening in Indiana.

OBJECTIVE: The purpose of this study is to describe current health care provider cervical cancer screening practice patterns for average-risk women in the state of Indiana in comparison to the 2012 guidelines as well as earlier guidelines. We also aim to describe what factors are associated with increased adherence to guidelines, and what factors may impede adherence. STUDY DESIGN: We conducted a vignette-based survey among a convenience sample of obstetricians, gynecologists, midwives, nurse practitioners, and physician assistants attending the Indiana American Congress of Obstetricians and Gynecologists Section meeting in January 2013. RESULTS: Questionnaires were returned by 51% (112/218) of attendants. Of the 111 providers with completed surveys, 42 (38%) follow current guidelines. Of providers, 86% start screening at age 21 years. Of providers, 33% screen women aged 21-29 years every 3 years. Of providers, 33% follow recommendations for cotesting every 5 years for patients 30-65 years of age. The majority of providers follow guidelines to stop screening after a benign hysterectomy or age 65 years (75% and 51%, respectively). CONCLUSION: The majority of providers follow the 2012 guidelines for the initiation and cessation of cervical screening; however, most providers screen more frequently than currently recommended for patients between ages 21-65 years.

Colon Age: A Metric for Whether and How to Screen Male Veterans for Early-Onset Colorectal Cancer.

We aimed to develop a metric for estimating risk for early-onset colorectal cancer (EOCRC) to help decide whether and how to screen persons < age 50. We used risk prediction models derived and validated on male veterans to calculate the RRs for six scenarios: one low-risk scenario (no risk factors present), four intermediate risk scenarios (some risk factors present), and one high-risk scenario (all risk factors present) for three age groups (35-39, 40-44, and 45-49 years). For each scenario, we estimated absolute colorectal cancer risk using Surveillance Epidemiology and End Results colorectal cancer incidence rates and each scenario's RR. We identified the current Surveillance Epidemiology and End Results 5-year age group to which the revised estimate was closest and refer to the midpoint of this group as the "colon age." When the revised estimate equals or exceeds that for 50- to 54-year-olds and for 70- to 74-year-olds, respective recommendations were made for (any) colorectal cancer screening and screening with colonoscopy. Among the scenarios, there was inconsistency between the two models for the 35 to 39 and 40 to 44 age groups, with only the 15-variable model recommending screening for the higher-risk 35- to 39-year-olds. Both models recommended screening for some intermediate risk and high-risk 40- to 44-year-olds. The models were well aligned on whether and how to screen most 45- to 49-year-olds. Using risk factors for EOCRC with colorectal cancer incidence rates, "colon age" may be useful for shared decision-making about whether and how to screen male veterans <50 years. For 45- to 49-year-olds, the 7-variable model may be preferred by patients, providers, and health systems. Prevention Relevance: A new metric known as "colon age" expresses risk of EOCRC based on biological risk and may be useful for providers to explain and for patients to understand colorectal cancer risk when considering whether and how to be screened for colorectal cancer prior to age 45 or 50.

Colon Age: A Metric for Whether and How to Screen Male Veterans for Early-Onset Colorectal Cancer.

We aimed to develop a metric for estimating risk for early-onset colorectal cancer (EOCRC) to help decide whether and how to screen persons < age 50. We used risk prediction models derived and validated on male Veterans to calculate the relative risks (RRs) for 6 scenarios: one low-risk scenario (no risk factors present), four intermediate risk scenarios (some factors present), and one high-risk scenario (all factors present) for three age groups (35-39, 40-44, and 45-49 years). For each scenario, we estimated absolute CRC risk using SEER CRC incidence rates and each scenario's RR. We identified the current SEER 5-year age group to which the revised estimate was closest and refer to the midpoint of this group as the "colon age". When the revised estimate was ≥ that for 50-54-year-olds and for 70-74-year-olds, respective recommendations were made for (any) CRC screening and screening with colonoscopy. Among the scenarios, there was inconsistency between the two models for the 35-39 and 40-44 age groups, with only the 15-variable model recommending screening for the higher-risk 35-to-39-year-olds. Both models recommended screening for some intermediate risk and high-risk 40-44-year-olds. The models were well-aligned on whether and how to screen most 45-49-year-olds. Using risk factors for EOCRC with CRC incidence rates, "colon age" may be useful for shared decision making about whether and how to screen male Veterans < 50 years. For 45-49-year-olds, the 7-variable model may be preferred by patients, providers, and health systems.

Communication and activation in pain to enhance relationships and treat pain with equity (COOPERATE): a randomized clinical trial.

ABSTRACT: Racialized disparities in chronic pain care are well-documented and persist despite national priorities focused on health equity. Similar disparities have been observed in patient activation (ie, having the knowledge, confidence, and skills to manage one's health). As such, interventions targeting patient activation represent a novel approach to addressing and reducing disparities in pain care. Communication and Activation in Pain to Enhance Relationships and Treat Pain with Equity is a randomized controlled trial of a 6-session telephone-delivered intervention to increase patient activation for Black patients with chronic pain. Two hundred fifty Black patients from a Midwestern Veterans Affairs medical center were randomized to the intervention or attention control. The primary outcome was patient activation; secondary outcomes included communication self-efficacy, pain, and psychological functioning. Outcomes were assessed at baseline and at 3 (primary endpoint), 6, and 9 months (sustained effects). Analyses used an intent-to-treat approach. Compared with baseline, patient activation increased 4.6 points at 3 months (versus +0.13 in control group, 95% CI: 0.48, 7.34; P = 0.03). These improvements in the intervention group were sustained, with +7 from baseline at 6 months and +5.77 at 9 months, and remained statistically significant from the control group. Communication self-efficacy increased significantly relative to the control group from baseline to 3 months. Pain intensity and interference improved at 3 months, but differences were not significant after adjusting for multiple comparisons. Most other secondary outcomes improved, but group differences were not statistically significant after controlling for multiple comparisons. Results suggest that increasing patient activation is a potentially fruitful path toward improving pain management and achieving health equity.

A practical approach for incorporating dependence among fields in probabilistic record linkage.

BACKGROUND: Methods for linking real-world healthcare data often use a latent class model, where the latent, or unknown, class is the true match status of candidate record-pairs. This commonly used model assumes that agreement patterns among multiple fields within a latent class are independent. When this assumption is violated, various approaches, including the most commonly proposed loglinear models, have been suggested to account for conditional dependence. METHODS: We present a step-by-step guide to identify important dependencies between fields through a correlation residual plot and demonstrate how they can be incorporated into loglinear models for record linkage. This method is applied to healthcare data from the patient registry for a large county health department. RESULTS: Our method could be readily implemented using standard software (with code supplied) to produce an overall better model fit as measured by BIC and deviance. Finding the most parsimonious model is known to reduce bias in parameter estimates. CONCLUSIONS: This novel approach identifies and accommodates conditional dependence in the context of record linkage. The conditional dependence model is recommended for routine use due to its flexibility for incorporating conditional dependence and easy implementation using existing software.

Risk Factors for Early-onset Sporadic Colorectal Cancer in Male Veterans.

Identifying risk factors for early-onset colorectal cancer (EOCRC) could help reverse its rising incidence through risk factor reduction and/or early screening. We sought to identify EOCRC risk factors that could be used for decisions about early screening. Using electronic databases and medical record review, we compared male veterans ages 35 to 49 years diagnosed with sporadic EOCRC (2008-2015) matched 1:4 to clinic and colonoscopy controls without colorectal cancer, excluding those with established inflammatory bowel disease, high-risk polyposis, and nonpolyposis syndromes, prior bowel resection, and high-risk family history. We ascertained sociodemographic and lifestyle factors, family and personal medical history, physical measures, vital signs, medications, and laboratory values 6 to 18 months prior to case diagnosis. In the derivation cohort (75% of the total sample), univariate and multivariate logistic regression models were used to derive a full model and a more parsimonious model. Both models were tested using a validation cohort. Among 600 cases of sporadic EOCRC [mean (SD) age 45.2 (3.5) years; 66% White], 1,200 primary care clinic controls [43.4 (4.2) years; 68% White], and 1,200 colonoscopy controls [44.7 (3.8) years; 63% White], independent risk factors included age, cohabitation and employment status, body mass index (BMI), comorbidity, colorectal cancer, or other visceral cancer in a first- or second-degree relative (FDR or SDR), alcohol use, exercise, hyperlipidemia, use of statins, NSAIDs, and multivitamins. Validation c-statistics were 0.75-0.76 for the full model and 0.74-0.75 for the parsimonious model, respectively. These independent risk factors for EOCRC may identify veterans for whom colorectal cancer screening prior to age 45 or 50 years should be considered. PREVENTION RELEVANCE: Screening 45- to 49-year-olds for colorectal cancer is relatively new with uncertain uptake thus far. Furthermore, half of EOCRC occurs in persons < 45 years old. Using risk factors may help 45- to 49-year-olds accept screening and may identify younger persons for whom earlier screening should be considered. See related Spotlight, p. 479.

Impact of the coronavirus disease-2019 pandemic on Veterans Health Administration Sleep Services.

Objectives: To understand the impact of the coronavirus disease-2019 pandemic on sleep services within the United States Department of Veterans Affairs using separate surveys from "pre-COVID" and pandemic periods. Methods: Data from a pre-pandemic survey (September to November 2019) were combined with data from a pandemic-period survey (August to November 2020) to Veterans Affairs sleep medicine providers about their local sleep services within 140 Veterans Affairs facilities). Results: A total of 67 (47.9%) facilities responded to the pandemic online survey. In-lab diagnostic and titration sleep studies were stopped at 91.1% of facilities during the pandemic; 76.5% of facilities resumed diagnostic studies and 60.8% resumed titration studies by the time of the second survey. Half of the facilities suspended home sleep testing; all facilities resumed these services. In-person positive airway pressure clinics were stopped at 76.3% of facilities; 46.7% resumed these clinics. Video telehealth was either available or in development at 86.6% of facilities and was considered a lasting addition to sleep services. Coronavirus disease-2019 transmission precautions occurred at high rates. Sleep personnel experienced high levels of stress, anxiety, fear, and burnout because of the pandemic and in response to unexpected changes in sleep medicine care delivery. Conclusions: Sleep medicine services within the Veterans Affairs evolved during the pandemic with many key services being interrupted, including in-lab studies and in-person positive airway pressure clinics. Expansion and initiation of telehealth sleep services occurred commonly. The pandemic adversely affected sleep medicine personnel as they sought to maintain access to care.

Patterns of Opioid Prescriptions in the Veterans Health Administration for Patients With Chronic Low-Back Pain After the Onset of the COVID-19 Pandemic: A Retrospective Cohort Analysis.

The COVID-19 pandemic led to severe disruptions in health care and a relaxation of rules surrounding opioid prescribing-changes which led to concerns about increased reliance on opioids for chronic pain and a resurgence of opioid-related harms. Although some studies found that opioid prescriptions increased in the first 6 months of the pandemic, we know little about the longer-term effects of the pandemic on opioid prescriptions. Further, despite the prevalence of pain in veterans, we know little about patterns of opioid prescriptions in the Veterans Health Administration (VA) associated with the pandemic. Using a retrospective cohort of VA patients with chronic low-back pain, we examined the proportion of patients with an opioid prescription and mean morphine milligram equivalents over a 3-year period-1 year prior to and 2 years after the pandemic's onset. Analyses revealed that both measures fell during the entire observation period. The largest decrease in the odds of filling an opioid prescription occurred in the first quarter of the pandemic, but this downward trend continued throughout the observation period, albeit at a slower pace. Clinically meaningful differences in opioid prescriptions and dose over time did not emerge based on patient race or rurality; however, differences emerged between female and male veterans, with decreases in opioid prescriptions slowing more markedly for women after the pandemic onset. These findings suggest that the pandemic was not associated with short- or long-term increases in opioid prescriptions or doses in the VA. PERSPECTIVE: This article examines opioid prescribing over a 3-year period-1 year prior to and 2 years after the onset of the COVID-19 pandemic-for VA patients with chronic low-back pain. Results indicate that, despite disruptions to health care, opioid prescriptions and doses decreased over the entire observation period.

The VA National TeleNeurology Program implementation: a mixed-methods evaluation guided by RE-AIM framework.

Introduction: The Veteran Affairs (VA) Office of Rural Health (ORH) funded the Veterans Health Administration (VHA) National TeleNeurology Program (NTNP) as an Enterprise-Wide Initiative (EWI). NTNP is an innovative healthcare delivery model designed to fill the patient access gap for outpatient neurological care especially for Veterans residing in rural communities. The specific aim was to apply the RE-AIM framework in a pragmatic evaluation of NTNP services. Materials and methods: We conducted a prospective implementation evaluation. Guided by the pragmatic application of the RE-AIM framework, we conceptualized a mixed-methods evaluation for key metrics: (1) reach into the Veteran patient population assessed as total NTNP new patient consult volume and total NTNP clinical encounters (new and return); (2) effectiveness through configurational analysis of conditions leading to high Veteran satisfaction and referring providers perceived effectiveness; (3) adoption and implementation by VA sites through site staff and NTNP interviews; (4) implementation success through perceived management, implementation barriers, facilitators, and adaptations and through rapid qualitative analysis of multiple stakeholders' assessments; and (5) maintenance of NTNP through monitoring quarterly TeleNeurology consultation volume. Results: NTNP was successfully implemented in 13 VA Medical Centers over 2 years. The total NTNP new patient consult volume in fiscal year 2021 (FY21) was 836 (58% rurally residing); this increased to 1,706 in fiscal year 2022 (FY22) (55% rurally residing). Total (new and follow-up) NTNP clinical encounters were 1,306 in FY21 and 3,730 in FY22. Overall, the sites reported positive experiences with program implementation and perceived that the program was serving Veterans with little access to neurological care. Veterans also reported high satisfaction with the NTNP program. We identified the patient level of perceived excellent teleneurologist-patient communications, reduced need to drive to get care, and that NTNP provided care that the Veteran otherwise could not access as key factors related to high Veteran satisfaction. Conclusions: The VA NTNP demonstrated substantial reach, adoption, effectiveness, implementation success, and maintenance over the first 2 years of the program. The NTNP was highly acceptable to both the clinical providers making the referrals and the Veterans receiving the referred video care. The pragmatic application of the RE-AIM framework to guide implementation evaluations is appropriate, comprehensive, and recommended for future applications.

Therapist-Delivered Versus Care Ally-Assisted Massage for Veterans With Chronic Neck Pain: Protocol for a Randomized Controlled Trial.

BACKGROUND: Chronic neck pain (CNP) is prevalent, and it reduces functional status and quality of life and is associated with deleterious psychological outcomes in affected individuals. Despite the desirability of massage and its demonstrated effectiveness in CNP treatment, multiple accessibility barriers exist. Caregiver-applied massage has demonstrated feasibility in various populations but has not been examined in Veterans with CNP or compared in parallel to therapist-delivered massage. OBJECTIVE: This manuscript described the original study design, lessons learned, and resultant design modifications for the Trial Outcomes for Massage: Care Ally-Assisted Versus Therapist-Treated (TOMCATT) study. METHODS: TOMCATT began as a 3-arm, randomized controlled trial of 2 massage delivery approaches for Veterans with CNP with measures collected at baseline, 1 and 3 months after intervention, and 6 months (follow-up). Arm I, care ally-assisted massage, consisted of an in-person, 3.5-hour training workshop, an instructional DVD, a printed treatment manual, and three 30-minute at-home care ally-assisted massage sessions weekly for 3 months. Arm II, therapist-treated massage, consisted of two 60-minute sessions tailored to individual pain experiences and treatments per week for 3 months. The treatments followed a standardized Swedish massage approach. Arm III consisted of wait-list control. RESULTS: Retention and engagement challenges in the first 30 months were significant in the care ally-assisted massage study arm (63% attrition between randomization and treatment initiation) and prompted modification to a 2-arm trial, that is, removing arm I. CONCLUSIONS: The modified TOMCATT study successfully launched and exceeded recruitment goals 2.5 months before the necessary COVID-19 pause and is expected to be completed by early 2023. TRIAL REGISTRATION: ClinicalTrials.gov NCT03100539; https://clinicaltrials.gov/ct2/show/NCT03100539. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/38950.

The Pain Outcomes Comparing Yoga vs. Structured Exercise (POYSE) Trial in Veterans With Fibromyalgia: Study Design and Methods.

Background: Fibromyalgia is a common pain condition that often leads to significant disability. Unfortunately, the effectiveness of most medications for fibromyalgia is limited, and there is a need for alternative, non-pharmacological therapies. Yoga and aerobic exercise are both evidence-based non-pharmacological treatments for fibromyalgia. However, no prior studies have directly compared the effectiveness of yoga vs. exercise. Objective: This article describes the study design and recruitment outcomes of the Pain Outcomes comparing Yoga vs. Structured Exercise (POYSE) Trial, a two-arm randomized comparative effectiveness trial. Methods: Veterans with fibromyalgia, defined by the 2010 American College of Rheumatology diagnostic criteria, who also experienced at least moderate pain severity were enrolled. The participants were randomized to a 12-week yoga-based or a structured exercise program (SEP) and will undergo comprehensive outcome assessments at baseline, 1, 3, 6, and 9 months by interviewers blinded to treatment assignment. The primary outcome will be the overall severity of fibromyalgia as measured by the total Fibromyalgia Impact Questionnaire-Revised. Secondary outcomes included depression, anxiety, health-related quality of life, pain beliefs, fatigue, sleep, and self-efficacy. Results: A total of 2,671 recruitment letters were sent to potential participants with fibromyalgia. Of the potential participants, 623 (23.3%) were able to be contacted by telephone and had their eligibility assessed. Three hundred seventy-one of those interviewed were found to be eligible (59.6%) and 256 (69.0%) agreed to participate and were randomized to the YOGA (n = 129) or the SEP (n = 127) arm of the trial. Conclusions: Clinicians are faced with numerous challenges in treating patients with fibromyalgia. The interventions being tested in the POYSE trial have the potential to provide primary care and other care settings with new treatment options for clinicians while simultaneously providing a much needed relief for patients suffering from fibromyalgia. Trial Registration: Funded by VA Rehabilitation Research and Development (D1100-R); Trial registration: ClinicalTrials.gov, NCT01797263.