What Goes into Patient Selection for Lung Cancer Screening? Factors Associated with Clinician Judgments of Suitability for Screening.

Rationale: Achieving the net benefit of lung cancer screening (LCS) depends on optimizing patient selection. Objective: To identify factors associated with clinician assessments that a patient was unlikely to benefit from LCS ("LCS-inappropriate") because of comorbidities or limited life expectancy. Methods: Retrospective analysis of patients assessed for LCS at 30 Veterans Health Administration facilities from January 1, 2015 to February 1, 2021. We conducted hierarchical mixed-effects logistic regression analyses to determine factors associated with clinicians' designations of LCS inappropriateness (primary outcome), accounting for 3-year predicted probability (i.e., competing risk) of non-lung cancer death. Measurements and Main Results: Among 38,487 LCS-eligible patients, 1,671 (4.3%) were deemed LCS-inappropriate by clinicians, whereas 4,383 (11.4%) had an estimated 3-year competing risk of non-lung cancer death greater than 20%. Patients with higher competing risks of non-lung cancer death were more likely to be deemed LCS-inappropriate (odds ratio [OR], 2.66; 95% confidence interval [CI], 2.32-3.05). Older patients (ages 75-80; OR, 1.45; 95% CI, 1.18-1.78) and those with interstitial lung disease (OR, 1.98; 95% CI, 1.51-2.59) were more likely to be deemed LCS-inappropriate than would be explained by competing risk of non-lung cancer death, whereas patients currently smoking (OR, 0.65; 95% CI, 0.58-0.73) were less likely to be deemed LCS-inappropriate, suggesting that clinicians over- or underweighted these factors. The probability of being deemed LCS-inappropriate varied from 0.4% to 74%, depending on the clinician making the assessment (median OR, 3.07; 95% CI, 2.89-3.25). Conclusion: Concerningly, the likelihood that a patient is deemed LCS-inappropriate is more strongly associated with the clinician making the assessment than with patient characteristics. Patient selection may be optimized by providing decision support to help clinicians assess net LCS benefit.

Measuring effects of medication adherence on time-varying health outcomes using Bayesian dynamic linear models.

One of the most significant barriers to medication treatment is patients' non-adherence to a prescribed medication regimen. The extent of the impact of poor adherence on resulting health measures is often unknown, and typical analyses ignore the time-varying nature of adherence. This article develops a modeling framework for longitudinally recorded health measures modeled as a function of time-varying medication adherence. Our framework, which relies on normal Bayesian dynamic linear models (DLMs), accounts for time-varying covariates such as adherence and non-dynamic covariates such as baseline health characteristics. Standard inferential procedures for DLMs are inefficient when faced with infrequent and irregularly recorded response data. We develop an approach that relies on factoring the posterior density into a product of two terms: a marginal posterior density for the non-dynamic parameters, and a multivariate normal posterior density of the dynamic parameters conditional on the non-dynamic ones. This factorization leads to a two-stage process for inference in which the non-dynamic parameters can be inferred separately from the time-varying parameters. We demonstrate the application of this model to the time-varying effect of antihypertensive medication on blood pressure levels for a cohort of patients diagnosed with hypertension. Our model results are compared to ones in which adherence is incorporated through non-dynamic summaries.

Inferring medication adherence from time-varying health measures.

Medication adherence is a problem of widespread concern in clinical care. Poor adherence is a particular problem for patients with chronic diseases requiring long-term medication because poor adherence can result in less successful treatment outcomes and even preventable deaths. Existing methods to collect information about patient adherence are resource-intensive or do not successfully detect low-adherers with high accuracy. Acknowledging that health measures recorded at clinic visits are more reliably recorded than a patient's adherence, we have developed an approach to infer medication adherence rates based on longitudinally recorded health measures that are likely impacted by time-varying adherence behaviors. Our framework permits the inclusion of baseline health characteristics and socio-demographic data. We employ a modular inferential approach. First, we fit a two-component model on a training set of patients who have detailed adherence data obtained from electronic medication monitoring. One model component predicts adherence behaviors only from baseline health and socio-demographic information, and the other predicts longitudinal health measures given the adherence and baseline health measures. Posterior draws of relevant model parameters are simulated from this model using Markov chain Monte Carlo methods. Second, we develop an approach to infer medication adherence from the time-varying health measures using a sequential Monte Carlo algorithm applied to a new set of patients for whom no adherence data are available. We apply and evaluate the method on a cohort of hypertensive patients, using baseline health comorbidities, socio-demographic measures, and blood pressure measured over time to infer patients' adherence to antihypertensive medication.

Impact of Peer Specialist Services on Residential Stability and Behavioral Health Status Among Formerly Homeless Veterans With Cooccurring Mental Health and Substance Use Conditions.

OBJECTIVES: This study tested the impacts of peer specialists on housing stability, substance abuse, and mental health status for previously homeless Veterans with cooccurring mental health issues and substance abuse. METHODS: Veterans living in the US Housing and Urban Development-Veterans Administration Supported Housing (HUD-VASH) program were randomized to peer specialist services that worked independently from HUD-VASH case managers (ie, not part of a case manager/peer specialist dyad) and to treatment as usual that included case management services. Peer specialist services were community-based, using a structured curriculum for recovery with up to 40 weekly sessions. Standardized self-report measures were collected at 3 timepoints. The intent-to-treat analysis tested treatment effects using a generalized additive mixed-effects model that allows for different nonlinear relationships between outcomes and time for treatment and control groups. A secondary analysis was conducted for Veterans who received services from peer specialists that were adherent to the intervention protocol. RESULTS: Treated Veterans did not spend more days in housing compared with control Veterans during any part of the study at the 95% level of confidence. Veterans assigned to protocol adherent peer specialists showed greater housing stability between about 400 and 800 days postbaseline. Neither analysis detected significant effects for the behavioral health measures. CONCLUSIONS: Some impact of peer specialist services was found for housing stability but not for behavioral health problems. Future studies may need more sensitive measures for early steps in recovery and may need longer time frames to effectively impact this highly challenged population.

The relationship between gastrointestinal symptom attribution, bothersomeness, and antiretroviral adherence among adults with HIV.

Patients who attribute their symptoms to HIV medications, rather than disease, may be prone to switching antiretrovirals (ARVs) and experience poor retention/adherence to care. Gastrointestinal (GI) symptoms (e.g., nausea/vomiting) are often experienced as a side effect of ARVs, but little is known about the relationship of symptom attribution and bothersomeness to adherence. We hypothesized that attribution of a GI symptom to ARVs is associated with a reduction in adherence, and that this relationship is moderated by the bothersomeness of the symptom. Data for our analysis come from the pre-randomization enrollment period of a larger study testing an adherence improvement intervention. Analyses revealed that patients with diarrhea who attributed the symptom to ARVs (compared to those who did not) had significantly worse adherence. We did not find a significant moderating effect of bothersomeness on this relationship. Incorporating patient beliefs about causes of symptoms into clinical care may contribute to improved symptom and medication management, and better adherence.

Using Mixed Methods to Examine the Role of Veterans' Illness Perceptions on Depression Treatment Utilization and HEDIS Concordance.

BACKGROUND: Although depression screening occurs annually in the Department of Veterans Affairs (VA) primary care, many veterans may not be receiving guideline-concordant depression treatment. OBJECTIVES: To determine whether veterans' illness perceptions of depression may be serving as barriers to guideline-concordant treatment. RESEARCH DESIGN: We used a prospective, observational design involving a mailed questionnaire and chart review data collection to assess depression treatment utilization and concordance with Healthcare Effectiveness Data and Information Set guidelines adopted by the VA. The Self-Regulation Model of Illness Behavior guided the study. SUBJECTS: Veterans who screened positive for a new episode of depression at 3 VA primary care clinics in the US northeast. MEASURES: The Illness Perceptions Questionnaire-Revised, measuring patients' perceptions of their symptoms, cause, timeline, consequences, cure or controllability, and coherence of depression and its symptoms, was our primary measure to calculate veterans' illness perceptions. Treatment utilization was assessed 3 months after the positive depression screen through chart review. Healthcare Effectiveness Data and Information Set (HEDIS) guideline-concordant treatment was determined according to a checklist created for the study. RESULTS: A total of 839 veterans screened positive for a new episode of depression from May 2009-June 2011; 275 (32.8%) completed the survey. Ninety-two (33.9%) received HEDIS guideline-concordant depression treatment. Veterans' illness perceptions of their symptoms, cause, timeline, and controllability of depression predicted receiving guideline-concordant treatment. CONCLUSIONS: Many veterans are not receiving guideline-concordant treatment for depression. HEDIS guideline measures may not be assessing all aspects of quality depression care. Conversations about veterans' illness perceptions and their specific needs are encouraged to ensure that appropriate treatment is achieved.

A Brief, Multifaceted, Generic Intervention to Improve Blood Pressure Control and Reduce Disparities Had Little Effect.

BACKGROUND: Poor blood pressure (BP) control and racial disparities therein may be a function of clinical inertia and ineffective communication about BP care. METHODS: We compared two different interventions (electronic medical record reminder for BP care (Reminder only, [RO]), and clinician training on BP care-related communication skills plus the reminder (Reminder + Training, [R+T]) with usual care in three primary care clinics, examining BP outcomes among 8,866 patients, and provider-patient communication and medication adherence among a subsample of 793. RESULTS: Clinician counseling improved most at R+T. BP improved overall; R+T had a small but significantly greater reduction in diastolic BP (DBP; -1.7 mm Hg). White patients at RO experienced greater overall improvements in BP control. Site and race disparities trends suggested that disparities decreased at R+T, either stayed the same or decreased at Control; and stayed the same or increased at RO. CONCLUSIONS: More substantial or racial/ethnically tailored interventions are needed.

Predictors of decline in overall mental health, PTSD and alcohol use in OEF/OIF veterans.

This study identified predictors of worsening mental health (including PTSD and alcohol use) over a 6-month period following return from deployment to Iraq (OIF) or Afghanistan (OIF). Using a national sample of 512 OEF/OIF veterans surveyed within 12 months of return from deployment (T1), and 6 months later (T2), we obtained demographic and deployment characteristics, risk and resilience factors, mental health status, PTSD and alcohol abuse. We performed logistic regression analyses to identify predictors of worse mental health, PTSD or alcohol use between T1 and T2, controlling for initial levels. Of the sample, 14-25% showed clinically worse mental health, PTSD or alcohol use. Each outcome was associated with some shared and some unique predictors. For example, younger age and recent medical care were both associated with worse alcohol use. Lack of adequate deployment training was uniquely associated with worse PTSD symptoms.

Mental and physical health status and alcohol and drug use following return from deployment to Iraq or Afghanistan.

OBJECTIVES: We examined (1) mental and physical health symptoms and functioning in US veterans within 1 year of returning from deployment, and (2) differences by gender, service component (Active, National Guard, other Reserve), service branch (Army, Navy, Air Force, Marines), and deployment operation (Operation Enduring Freedom/Operation Iraqi Freedom [OEF/OIF]). METHODS: We surveyed a national sample of 596 OEF/OIF veterans, oversampling women to make up 50% of the total, and National Guard and Reserve components to each make up 25%. Weights were applied to account for stratification and nonresponse bias. RESULTS: Mental health functioning was significantly worse compared with the general population; 13.9% screened positive for probable posttraumatic stress disorder, 39% for probable alcohol abuse, and 3% for probable drug abuse. Men reported more alcohol and drug use than did women, but there were no gender differences in posttraumatic stress disorder or other mental health domains. OIF veterans reported more depression or functioning problems and alcohol and drug use than did OEF veterans. Army and Marine veterans reported worse mental and physical health than did Air Force or Navy veterans. CONCLUSIONS: Continuing identification of veterans at risk for mental health and substance use problems is important for evidence-based interventions intended to increase resilience and enhance treatment.

Invasive Procedures and Associated Complications After Initial Lung Cancer Screening in a National Cohort of Veterans.

BACKGROUND: Little is known about rates of invasive procedures and associated complications after lung cancer screening (LCS) in nontrial settings. RESEARCH QUESTION: What are the frequency of invasive procedures, complication rates, and factors associated with complications in a national sample of veterans screened for lung cancer? STUDY DESIGN AND METHODS: We conducted a retrospective cohort analysis of veterans who underwent LCS in any Veterans Health Administration (VA) facility between 2013 and 2019 and identified veterans who underwent invasive procedures within 10 months of initial LCS. The primary outcome was presence of a complication within 10 days after an invasive procedure. We conducted hierarchical mixed-effects logistic regression analyses to determine patient- and facility-level factors associated with complications resulting from an invasive procedure. RESULTS: Our cohort of 82,641 veterans who underwent LCS was older, more racially diverse, and had more comorbidities than National Lung Screening Trial (NLST) participants. Overall, 1,741 veterans (2.1%) underwent an invasive procedure after initial screening, including 856 (42.3%) bronchoscopies, 490 (24.2%) transthoracic needle biopsies, and 423 (20.9%) thoracic surgeries. Among veterans who underwent procedures, 151 (8.7%) experienced a major complication (eg, respiratory failure, prolonged hospitalization) and an additional 203 (11.7%) experienced an intermediate complication (eg, pneumothorax, pleural effusion). Veterans who underwent thoracic surgery (OR, 7.70; 95% CI, 5.48-10.81), underwent multiple nonsurgical procedures (OR, 1.49; 95% CI, 1.15-1.92), or carried a dementia diagnosis (OR, 3.91; 95% CI, 1.79-8.52) were more likely to experience complications. Invasive procedures were performed less often than in the NLST (2.1% vs 4.2%), but veterans were more likely to experience complications after each type of procedure. INTERPRETATION: These findings may reflect a higher threshold to perform procedures in veteran populations with multiple comorbidities and higher risks of complications. Future work should focus on optimizing the identification of patients whose chance of benefit likely outweighs the complication risks.

Factors Associated With Declining Lung Cancer Screening After Discussion With a Physician in a Cohort of US Veterans.

Importance: Lung cancer screening (LCS) is underused in the US, particularly in underserved populations, and little is known about factors associated with declining LCS. Guidelines call for shared decision-making when LCS is offered to ensure informed, patient-centered decisions. Objective: To assess how frequently veterans decline LCS and examine factors associated with declining LCS. Design, Setting, and Participants: This retrospective cohort study included LCS-eligible US veterans who were offered LCS between January 1, 2013, and February 1, 2021, by a physician at 1 of 30 Veterans Health Administration (VHA) facilities that routinely used electronic health record clinical reminders documenting LCS eligibility and veterans' decisions to accept or decline LCS. Data were obtained from the Veterans Affairs (VA) Corporate Data Warehouse or Medicare claims files from the VA Information Resource Center. Main Outcomes and Measures: The main outcome was documentation, in clinical reminders, that veterans declined LCS after a discussion with a physician. Logistic regression analyses with physicians and facilities as random effects were used to assess factors associated with declining LCS compared with agreeing to LCS. Results: Of 43 257 LCS-eligible veterans who were offered LCS (mean [SD] age, 64.7 [5.8] years), 95.9% were male, 84.2% were White, and 37.1% lived in a rural zip code; 32.0% declined screening. Veterans were less likely to decline LCS if they were younger (age 55-59 years: odds ratio [OR], 0.69; 95% CI, 0.64-0.74; age 60-64 years: OR, 0.80; 95% CI, 0.75-0.85), were Black (OR, 0.80; 95% CI, 0.73-0.87), were Hispanic (OR, 0.62; 95% CI, 0.49-0.78), did not have to make co-payments (OR, 0.92; 95% CI, 0.85-0.99), or had more frequent VHA health care utilization (outpatient: OR, 0.70; 95% CI, 0.67-0.72; emergency department: OR, 0.86; 95% CI, 0.80-0.92). Veterans were more likely to decline LCS if they were older (age 70-74 years: OR, 1.27; 95% CI, 1.19-1.37; age 75-80 years: OR, 1.93; 95% CI, 1.73-2.17), lived farther from a VHA screening facility (OR, 1.06; 95% CI, 1.03-1.08), had spent more days in long-term care (OR, 1.13; 95% CI, 1.07-1.19), had a higher Elixhauser Comorbidity Index score (OR, 1.04; 95% CI, 1.03-1.05), or had specific cardiovascular or mental health conditions (congestive heart failure: OR, 1.25; 95% CI, 1.12-1.39; stroke: OR, 1.14; 95% CI, 1.01-1.28; schizophrenia: OR, 1.87; 95% CI, 1.60-2.19). The physician and facility offering LCS accounted for 19% and 36% of the variation in declining LCS, respectively. Conclusions and Relevance: In this cohort study, older veterans with serious comorbidities were more likely to decline LCS and Black and Hispanic veterans were more likely to accept it. Variation in LCS decisions was accounted for more by the facility and physician offering LCS than by patient factors. These findings suggest that shared decision-making conversations in which patients play a central role in guiding care may enhance patient-centered care and address disparities in LCS.

Association between mental health conditions and rehospitalization, mortality, and functional outcomes in patients with stroke following inpatient rehabilitation.

BACKGROUND: Limited evidence exists regarding the association of pre-existing mental health conditions in patients with stroke and stroke outcomes such as rehospitalization, mortality, and function. We examined the association between mental health conditions and rehospitalization, mortality, and functional outcomes in patients with stroke following inpatient rehabilitation. METHODS: Our observational study used the 2001 VA Integrated Stroke Outcomes database of 2162 patients with stroke who underwent rehabilitation at a Veterans Affairs Medical Center. Separate models were fit to our outcome measures that included 6-month rehospitalization or death, 6-month mortality post-discharge, and functional outcomes post inpatient rehabilitation as a function of number and type of mental health conditions. The models controlled for patient socio-demographics, length of stay, functional status, and rehabilitation setting. RESULTS: Patients had an average age of 68 years. Patients with stroke and two or more mental health conditions were more likely to be readmitted or die compared to patients with no conditions (OR: 1.44, p = 0.04). Depression and anxiety were associated with a greater likelihood of rehospitalization or death (OR: 1.33, p = 0.04; OR:1.47, p = 0.03). Patients with anxiety were more likely to die at six months (OR: 2.49, p = 0.001). CONCLUSIONS: Patients with stroke with pre-existing mental health conditions may need additional psychotherapy interventions, which may potentially improve stroke outcomes post-hospitalization.

Outcomes of pulmonary vasodilator use in Veterans with pulmonary hypertension associated with left heart disease and lung disease.

Randomized trials of pulmonary vasodilators in pulmonary hypertension due to left heart disease (Group 2) and lung disease (Group 3) have demonstrated potential for harm. Yet these therapies are commonly used in practice. Little is known of the effects of treatment outside of clinical trials. We aimed to establish outcomes of vasodilator treatment for Groups 2/3 pulmonary hypertension in real-world practice. We conducted a retrospective cohort study of 132,552 Medicare-eligible Veterans with incident Groups 2/3 pulmonary hypertension between 2006 and 2016, and a secondary nested case-control study. Our primary outcome was a composite of death by any cause or selected acute organ failures. In our cohort analysis, we calculated adjusted risks of time to our outcome using Cox proportional hazards models with facility-specific random effects. In our case-control analysis, we used logistic mixed-effects models to estimate the effect of any past, recent, and cumulative exposure on our outcome. From our cohort study, 3249 (2.5%) Veterans were exposed to pulmonary vasodilators. Exposure to vasodilators was associated with increased risk of our primary outcome, in both Group 3 (HR: 1.58 (95% CI: 1.37-1.82)) and Group 2 (HR: 1.26 (95% CI: 1.12-1.41)) pulmonary hypertension patients. The case-control study determined odds of our outcome increased by 11% per year of exposure (OR: 1.11 (95% CI: 1.07-1.16)). Treating Groups 2/3 pulmonary hypertension with vasodilators in clinical practice is associated with increased risk of harm. This extension of trial findings to a real-world setting offers further evidence to limit use of vasodilators in Groups 2/3 pulmonary hypertension outside of clinical trials.

Adherence to Follow-up Testing Recommendations in US Veterans Screened for Lung Cancer, 2015-2019.

Importance: Lung cancer screening (LCS) can reduce lung cancer mortality with close follow-up and adherence to management recommendations. Little is known about factors associated with adherence to LCS in real-world practice, with data limited to case series from selected LCS programs. Objective: To analyze adherence to follow-up based on standardized follow-up recommendations in a national cohort and to identify factors associated with delayed or absent follow-up. Design, Setting, and Participants: This retrospective cohort study was conducted in Veterans Health Administration (VHA) facilities across the US. Veterans were screened for lung cancer between 2015 to 2019 with sufficient follow-up time to receive recommended evaluation. Patient- and facility-level logistic regression analyses were performed. Data were analyzed from November 26, 2019, to December 16, 2020. Main Outcomes and Measures: Receipt of the recommended next step after initial LCS according to Lung CT Screening Reporting & Data System (Lung-RADS) category, as captured in VHA or Medicare claims. Results: Of 28 294 veterans (26 835 [94.8%] men; 21 969 individuals [77.6%] were White; mean [SD] age, 65.2 [5.5] years) who had an initial LCS examination, 17 863 veterans (63.1%) underwent recommended follow-up within the expected timeframe, whereas 3696 veterans (13.1%) underwent late evaluation, and 4439 veterans (15.7%) had no apparent evaluation. Facility-level differences were associated with 9.2% of the observed variation in rates of late or absent evaluation. In multivariable-adjusted models, Black veterans (odds ratio [OR], 1.19 [95% CI, 1.10-1.29]), veterans with posttraumatic stress disorder (OR, 1.13 [95% CI, 1.03-1.23]), veterans with substance use disorders (OR, 1.11 [95% CI, 1.01-1.22]), veterans with lower income (OR, 0.88 [95% CI, 0.79-0.98]), and those living at a greater distance from a VHA facility (OR, 1.06 [95% CI, 1.02-1.10]) were more likely to experience delayed or no follow-up; veterans with higher risk findings (Lung-RADS category 4 vs Lung-RADS category 1: OR, 0.35 [95% CI, 0.28-0.43]) and those screened in high LCS volume facilities (OR, 0.38 [95% CI, 0.21-0.67]) or academic facilities (OR, 0.86 [95% CI, 0.80-0.92]) were less likely to experience delayed or no follow-up. In sensitivity analyses, varying how stringently adherence was defined, expected evaluation ranged from 14 486 veterans (49.7%) under stringent definitions to 20 578 veterans (78.8%) under liberal definitions. Conclusions and Relevance: In this cohort study that captured follow-up care from the integrated VHA health care system and Medicare, less than two-thirds of patients received timely recommended follow-up after initial LCS, with higher risk of delayed or absent follow-up among marginalized populations, such as Black individuals, individuals with mental health disorders, and individuals with low income, that have long experienced disparities in lung cancer outcomes. Future work should focus on identifying facilities that promote high adherence and disseminating successful strategies to promote equity in LCS among marginalized populations.

Suicide-related behaviors in older patients with new anti-epileptic drug use: data from the VA hospital system.

BACKGROUND: The U.S. Food and Drug Administration (FDA) recently linked antiepileptic drug (AED) exposure to suicide-related behaviors based on meta-analysis of randomized clinical trials. We examined the relationship between suicide-related behaviors and different AEDs in older veterans receiving new AED monotherapy from the Veterans Health Administration (VA), controlling for potential confounders. METHODS: VA and Medicare databases were used to identify veterans 66 years and older, who received a) care from the VA between 1999 and 2004, and b) an incident AED (monotherapy) prescription. Previously validated ICD-9-CM codes were used to identify suicidal ideation or behavior (suicide-related behaviors cases), epilepsy, and other conditions previously associated with suicide-related behaviors. Each case was matched to controls based on prior history of suicide-related behaviors, year of AED prescription, and epilepsy status. RESULTS: The strongest predictor of suicide-related behaviors (N = 64; Controls N = 768) based on conditional logistic regression analysis was affective disorder (depression, anxiety, or post-traumatic stress disorder (PTSD); Odds Ratio 4.42, 95% CI 2.30 to 8.49) diagnosed before AED treatment. Increased suicide-related behaviors were not associated with individual AEDs, including the most commonly prescribed AED in the US - phenytoin. CONCLUSION: Our extensive diagnostic and treatment data demonstrated that the strongest predictor of suicide-related behaviors for older patients newly treated with AED monotherapy was a previous diagnosis of affective disorder. Additional, research using a larger sample is needed to clearly determine the risk of suicide-related behaviors among less commonly used AEDs.

Predisposing characteristics, enabling resources and need as predictors of utilization and clinical outcomes for veterans receiving mental health services.

BACKGROUND: Though demand for mental health services (MHS) among US veterans is increasing, MHS utilization per veteran is decreasing. With health and social service needs competing for limited resources, it is important to understand the association between patient factors, MHS utilization, and clinical outcomes. OBJECTIVES: We use a framework based on Andersen's behavioral model of health service utilization to examine predisposing characteristics, enabling resources, and clinical need as predictors of MHS utilization and clinical outcomes. METHODS: This was a prospective observational study of veterans receiving inpatient or outpatient MHS through Veterans Administration programs. Clinician ratings (Global Assessment of Functioning [GAF]) and self-report assessments (Behavior and Symptom Identification Scale-24) were completed for 421 veterans at enrollment and 3 months later. Linear and logistic regression analyses were conducted to examine: (1) predisposing characteristics, enabling resources, and need as predictors of MHS inpatient, residential, and outpatient utilization and (2) the association between individual characteristics, utilization, and clinical outcomes. RESULTS: Being older, female, having greater clinical need, lack of enabling resources (employment, stable housing, and social support), and easy access to treatment significantly predicted greater MHS utilization at 3-month follow-up. Less clinical need and no inpatient psychiatric hospitalization predicted better GAF and Behavior and Symptom Identification Scale-24 scores. White race and residential treatment also predicted better GAF scores. Neither enabling resources, nor number of outpatient mental health visits predicted clinical outcomes. CONCLUSIONS: This application of Andersen's behavioral model of health service utilization confirmed associations between some predisposing characteristics, need, and enabling resources on MHS utilization but only predisposing characteristics, need, and utilization were associated with clinical outcomes.

Factors Associated With Potentially Inappropriate Phosphodiesterase-5 Inhibitor Use for Pulmonary Hypertension in the United States, 2006 to 2015.

BACKGROUND: Use of phosphodiesterase-5 inhibitors (PDE5i) for groups 2 and 3 pulmonary hypertension (PH) is rising nationally, despite guidelines recommending against this low-value practice. Although receiving care across healthcare systems is encouraged to increase veterans' access to specialists critical for PH management, receiving care in 2 systems may increase risk of guideline-discordant prescribing. We sought to identify factors associated with prescribing of PDE5i for group 2/3 PH, particularly, to test the hypothesis that veterans prescribed PDE5i for PH in the community (through Medicare) will have increased risk of subsequently receiving potentially inappropriate treatment in Veterans Health Administration (VA). METHODS AND RESULTS: We constructed a retrospective cohort of 34 775 Medicare-eligible veterans with group 2/3 PH by linking national patient-level data from VA and Medicare from 2006 to 2015. We calculated adjusted odds ratios (ORs) of receiving daily PDE5i treatment for PH in VA using multivariable models with facility-specific random effects. In this cohort, 1556 veterans received VA prescriptions for PDE5i treatment for group 2/3 PH. Supporting our primary hypothesis, the variable most strongly associated with PDE5i treatment in VA for group 2/3 PH was prior treatment through Medicare (OR, 6.5 [95% CI, 4.9-8.7]). Other variables strongly associated with increased likelihood of VA treatment included more severe disease as indicated by recent right heart failure (OR, 3.3 [95% CI, 2.8-3.9]) or respiratory failure (OR, 3.7 [95% CI, 3.1-4.4]) and prior right heart catheterization (OR, 3.8 [95% CI, 3.4-4.3]). CONCLUSIONS: Our data suggest a missed opportunity to reassess treatment appropriateness when pulmonary hypertension patients seek prescriptions from VA-a relevant finding given policies promoting shared care across VA and community settings. Interventions are needed to reinforce awareness that pulmonary vasodilators are unlikely to benefit group 2/3 pulmonary hypertension patients and may cause harm.

Functional status outcomes among white and African-American cardiac patients in an equal access system.

BACKGROUND: Racial disparities exist in invasive cardiac procedure use and, sometimes, in subsequent functional status outcomes. We explored whether racial differences in functional outcomes occur in settings where differences in access and treatment are minimized. METHODS: We conducted a prospective observational cohort study of 1022 white and African-American cardiac patients with positive nuclear imaging studies in 5 VA hospitals. Patients' functional status was assessed at baseline, 6, and 12 months later using the Seattle Angina Questionnaire and the SF-12, controlling for treatment received, clinical, sociodemographic, and psychological characteristics. RESULTS: There were no significant baseline effects of race on functional status, after adjusting for sociodemographics, comorbid conditions, maximal medical therapy, severity of ischemia on nuclear imaging study, personal attitudes, and beliefs. Although there were no race differences in percutaneous transluminal coronary angioplasty use, there was a trend of African Americans being less likely to undergo coronary artery bypass graft, after 6 months (1.4% vs 6.5%) and 1 year (1.9 vs 6.9%). After adjustment, the decline in the SF12 Physical Component Summary from baseline to 6 months was, on average, 2.4 points less for African Americans than for whites, and at 12 months, Anginal Stability improved 8.4 points more for African Americans. The relative strength and direction of both findings persisted after removing covariates that might be confounded with race, and African Americans decreased less than whites on Physical Limitations, and improved more on Treatment Satisfaction, Anginal Frequency, and Disease Perceptions. CONCLUSIONS: In a setting where differences in access are minimized, so are racial differences in functional status outcomes.

Blood pressure and survival in the oldest old.

OBJECTIVES: To determine the relationship between blood pressure (BP) and all-cause mortality in subjects aged 80 and older with hypertension. DESIGN: Retrospective cohort study with 5 years of follow-up. SETTING: Ten Veterans AFFAIRS (VA) sites. PARTICIPANTS: Four thousand seventy-one ambulatory patients aged 80 and older with hypertension. MEASUREMENTS: The outcome measure was likelihood of survival during the follow-up period. Vital status was obtained from VA and Social Security files. Variables collected for adjustment in Cox regression models were baseline BP, medications, demographics, diagnoses, and health-related quality of life (HRQoL); HRQoL information was available on 1,289 subjects based on Veterans Health Study Short From-36 (SF-36) questionnaire scores. RESULTS: Subjects with higher BP (up to a systolic BP (SBP) of 139 mmHg and a diastolic BP (DBP) of 89 mmHg) were less likely to die during follow-up than subjects with lower BP. After baseline adjustments, the hazard ratio for a 10-point increase in SBP was 0.82 (95% confidence interval (CI)=0.74-0.91), up to a SBP of 139 mmHg, and for DBP was 0.85 (95% CI=0.78-0.92), up to a DBP of 89 mmHg. There was no significant association between survival and BP levels in subjects with uncontrolled hypertension. CONCLUSION: In a cohort of very old, hypertensive veterans, in subjects with controlled BPs, subjects with lower BP levels had a lower 5-year survival than those with higher BPs. This suggests that clinicians should use caution in their approach to BP lowering in this age group.

Basic Bayesian methods.

In this chapter, we introduce the basics of Bayesian data analysis. The key ingredients to a Bayesian analysis are the likelihood function, which reflects information about the parameters contained in the data, and the prior distribution, which quantifies what is known about the parameters before observing data. The prior distribution and likelihood can be easily combined to from the posterior distribution, which represents total knowledge about the parameters after the data have been observed. Simple summaries of this distribution can be used to isolate quantities of interest and ultimately to draw substantive conclusions. We illustrate each of these steps of a typical Bayesian analysis using three biomedical examples and briefly discuss more advanced topics, including prediction, Monte Carlo computational methods, and multilevel models.