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To assess mental health status among Latinos, culturally and linguistically appropriate instruments are needed. The purpose of this study was to assess psychometric properties and sensitivity of the Spanish revised Behavior and Symptom Identification Scale (BASIS-24), a self-report mental health assessment instrument first developed and validated in English. The Spanish translation was field tested among Spanish-speaking recipients of inpatient (N = 283) or outpatient (N = 311) mental health services in Massachusetts, Puerto Rico, and California. BASIS-24 was completed within 72 h of admission and up to 48 h before discharge (for inpatients) or at intake and 30-60 days later for outpatients. Confirmatory factor analysis indicated adequate fit for the model obtained from the English instrument. Internal consistency reliability exceeded 0.70 for five of the six factors. Concurrent and discriminant validity were partially supported. Improvement following treatment was statistically significant, with small to moderate effect sizes. [ABSTRACT FROM AUTHOR]

Objective: To develop a prediction model of death within 30 days of hospital admission for Medicare patients with acute myocardial infarction that would permit use of risk-adjusted mortality rates as hospital quality measures.Design: Retrospective cohort study using data created from medical charts and administrative files.Setting: All acute care hospitals in Alabama, Connecticut, Iowa, or Wisconsin.Patients: A cohort of 14,581 patients with acute myocardial infarction covered by Medicare in 1993.Results: The unadjusted 30-day mortality rate was 21%, ranging from 18% in Connecticut to 23% in Alabama. The 4 largest contributors to variability in mortality rates were mean arterial pressure, age, respiratory rate, and serum urea nitrogen level. The area under the receiver operator characteristic curve was 0.79 in a developmental sample of 10 936 patients and 0.78 in a validation sample of 3645 patients. Based on admission variables, we were able to explain 27% of the variability in 30-day mortality rates. During the index admission, aspirin, beta-blockers, angiotensin-converting enzyme inhibitors, and thrombolytic agents were used in 72%, 39%, 32%, and 15% of patients, respectively. Explained variation increased by 6 percentage points to 33% when drug therapies and revascularization procedures performed during the index admission were added to the model predictors.Conclusions: Short-term mortality remains high for elderly patients with acute myocardial infarction, and a large percentage of variation remains unexplained after controlling for admission severity. Part of the unexplained variability can be explained by the location of the admitting hospital; some of the remaining unexplained variation may reflect differences in quality of care or unmeasured differences in disease severity. Researchers should develop quality indicators based on process measures for acute myocardial infarction and should incorporate these measures into mortality models to determine whether quality accounts for variation in 30-day mortality rates beyond that explained by clinical status at admission. [ABSTRACT FROM AUTHOR]

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.

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.

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., (Copyright © 2022 American College of Chest Physicians. All rights reserved.)

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., (© 2022 John Wiley & Sons Ltd.)

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., (© The Author 2019. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

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.

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., (© The Author(s) 2021.)

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.

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.

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.

Importance: Surgeons are frequently faced with clinical adverse events owing to the nature of their specialty, yet not all surgeons disclose these events to patients. To sustain open disclosure programs, it is essential to understand how surgeons are disclosing adverse events, factors that are associated with reporting such events, and the effect of disclosure on surgeons., Objective: To quantitatively assess surgeons' reports of disclosure of adverse events and aspects of their experiences with the disclosure process., Design, Setting, and Participants: An observational study was conducted from January 1, 2011, to December 31, 2013, involving a 21-item baseline questionnaire administered to 67 of 75 surgeons (89%) representing 12 specialties at 3 Veterans Affairs medical centers. Sixty-two surveys of their communication about adverse events and experiences with disclosing such events were completed by 35 of these 67 surgeons (52%). Data were analyzed using mixed linear random-effects and logistic regression models., Main Outcomes and Measures: Self-reports of disclosure assessed by 8 items from guidelines and pilot research, surgeons' perceptions of the adverse event, reported personal effects from disclosure, and baseline attitudes toward disclosure., Results: Most of the surgeons completing the web-based surveys (41 responses from men and 21 responses from women) used 5 of the 8 recommended disclosure items: explained why the event happened (55 of 60 surveys [92%]), expressed regret for what happened (52 of 60 [87%]), expressed concern for the patient's welfare (57 of 60 [95%]), disclosed the adverse event within 24 hours (58 of 60 [97%]), and discussed steps taken to treat any subsequent problems (59 of 60 [98%]). Fewer surgeons apologized to patients (33 of 60 [55%]), discussed whether the event was preventable (33 of 60 [55%]), or how recurrences could be prevented (19 of 59 [32%]). Surgeons who were less likely to have discussed prevention (33 of 60 [55%]), those who stated the event was very or extremely serious (40 of 61 surveys [66%]), or reported very or somewhat difficult experiences discussing the event (16 of 61 [26%]) were more likely to have been negatively affected by the event. Surgeons with more negative attitudes about disclosure at baseline reported more anxiety about patients' surgical outcomes or events following disclosure (odds ratio, 1.54; 95% CI, 1.16-2.06)., Conclusions and Relevance: Surgeons who reported they were less likely to discuss preventability of the adverse event, or who reported difficult communication experiences, were more negatively affected by disclosure than others. Quality improvement efforts focused on recognizing the association between disclosure and surgeons' well-being may help sustain open disclosure policies.

Objectives: Patterns and predictors of engagement in peer support services were examined among 50 previously homeless veterans with co-occurring mental health conditions and substance use histories receiving services from the Veterans Health Administration supported housing program., Method: Veteran peer specialists were trained to deliver sessions focusing on mental health and substance use recovery to veterans for an intended 1-hr weekly contact over 9 months. Trajectories of peer engagement over the study's duration are summarized. A mixed-effects log-linear model of the rate of peer engagement is tested with three sets of covariates representing characteristics of the veterans. These sets were demographics, mental health and substance use status, and indicators of community participation and support., Results: Data indicate that veterans engaged with peers about once per month rather than the intended once per week. However, frequency of contacts varied greatly. The best predictor of engagement was time, with most contacts occurring within the first 6 months. No other veteran characteristic was a statistically significant predictor of engagement. Older veterans tended to have higher rates of engagement with peer supporters., Conclusions and Implications for Practice: Planners of peer support services could consider yardsticks of monthly services up to 6 months. Peer support services need a flexible strategy with varying levels of intensity according to need. Peer support services will need to be tailored to better engage younger veterans. Future research should consider other sources of variation in engagement with peer support such as characteristics of the peer supporters and service content and setting. (PsycINFO Database Record, ((c) 2016 APA, all rights reserved).)

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.

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.

Background: Much of the research on the impact of trauma exposure among veterans has focused on factors that increase risk for mental health problems. Fewer studies have investigated factors that may prevent mental health problems following trauma exposure. This study examines resilience variables as factors that may prevent subsequent mental health problems., Purpose: To determine whether military service members returning from Afghanistan and Iraq who exhibit higher levels of resilience, including hardiness (encompassing control, commitment, and challenge), self-efficacy, and social support after returning from deployment are less vulnerable to subsequent mental health problems, alcohol, and drug use., Methods: A national sample of 512 service members was surveyed between 3 and 12 months of return from deployment and 6-12 months later. Data were collected in 2008-2009 and analyzed in 2013. Regression analyses ascertained whether resilience 3-12 months after return predicted later mental health and substance problems, controlling for demographic characteristics, mental health, and risk factors, including predeployment stressful events, combat exposure, and others., Results: Greater hardiness predicted several indicators of better mental health and lower levels of alcohol use 6-12 months later, but did not predict subsequent posttraumatic stress symptom severity. Postdeployment social support predicted better overall mental health and less posttraumatic stress symptom severity, alcohol, and drug use., Conclusions: Some aspects of resilience after deployment appear to protect returning service members from the negative effects of traumatic exposure, suggesting that interventions to promote and sustain resilience after deployment have the potential to enhance the mental health of veterans., (Copyright © 2014 American Journal of Preventive Medicine. All rights reserved.)

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., (Published by Elsevier Inc.)

Objectives: Procedures for controlling the false positive rate when performing many hypothesis tests are commonplace in health and medical studies. Such procedures, most notably the Bonferroni adjustment, suffer from the problem that error rate control cannot be localized to individual tests, and that these procedures do not distinguish between exploratory and/or data-driven testing vs. hypothesis-driven testing. Instead, procedures derived from limiting false discovery rates may be a more appealing method to control error rates in multiple tests., Study Design and Setting: Controlling the false positive rate can lead to philosophical inconsistencies that can negatively impact the practice of reporting statistically significant findings. We demonstrate that the false discovery rate approach can overcome these inconsistencies and illustrate its benefit through an application to two recent health studies., Results: The false discovery rate approach is more powerful than methods like the Bonferroni procedure that control false positive rates. Controlling the false discovery rate in a study that arguably consisted of scientifically driven hypotheses found nearly as many significant results as without any adjustment, whereas the Bonferroni procedure found no significant results., Conclusion: Although still unfamiliar to many health researchers, the use of false discovery rate control in the context of multiple testing can provide a solid basis for drawing conclusions about statistical significance., (Copyright © 2014 Elsevier Inc. All rights reserved.)

Objective: To examine the impact of Veterans' coping strategies on mental health treatment engagement following a positive screen for depression., Methods: A mixed-methods observational study using a mailed survey and semi-structured interviews. Sample included 271 Veterans who screened positive for depression during a primary care visit at one of three VA medical centers and had not received a diagnosis of depression or prescribed antidepressants 12 months prior to screening. A subsample of 23 Veterans was interviewed., Results: Logistic regression models showed that Veterans who reported more instrumental support and active coping were more likely to receive depression or other mental health treatment within three months of their positive depression screen. Those who reported emotional support or self-distraction as coping strategies were less likely to receive any treatment in the same time frame. Qualitative analyses revealed that how Veterans use these and other coping strategies can impact treatment engagement in a variety of ways., Conclusions: The relationship between Veterans' use of coping strategies and treatment engagement for depression may not be readily apparent without in-depth exploration., Practice Implications: In VA primary care clinics, nurse care managers and behavioral health providers should explore how Veterans' methods of coping may impact treatment engagement., (Published by Elsevier Ireland Ltd.)

Background: A variety of pharmacological and surgical treatments have been developed for heavy menstrual bleeding (HMB), which can have negative physical, social, psychological, and economic consequences. We conducted a systematic literature review and mixed-treatment-comparison (MTC) meta-analysis of available data from randomized controlled trials (RCTs) to derive estimates of efficacy for 8 classes of treatments for HMB, to inform health-economic analysis and future studies., Methods: A systematic review identified RCTs that reported data on menstrual blood loss (MBL) at baseline and one or more follow-up times. Eight treatment classes were considered: COCs, danazol, endometrial ablation, LNG-IUS, placebo, progestogens given for less than 2 weeks out of 4 during the menstrual cycle, progestogens given for close to 3 weeks out of 4, and TXA. The primary measure of efficacy was the proportion of women who achieved MBL < 80 mL per cycle (month), as measured by the alkaline hematin method. A score less than 100 on an established pictorial blood-loss assessment chart (PBAC) was considered an acceptable substitute for MBL < 80 mL. Estimates of efficacy by treatment class and time were obtained from a Bayesian MTC model. The model also included effects for treatment class, study, and the combination of treatment class and study and an adjustment for baseline mean MBL. Several methodological challenges complicated the analysis. Some trials reported various summary statistics for MBL or PBAC, requiring estimation (with less precision) of % MBL < 80 mL or % PBAC < 100. Also, reported follow-up times varied substantially., Results: The evidence network involved 34 RCTs, with follow-up times from 1 to 36 months. Efficacy at 3 months of follow-up (estimated as the posterior median) ranged from 87.5% for the levonorgestrel-releasing intrauterine system (LNG-IUS) to 14.2% for progestogens administered for less than 2 weeks out of 4 in the menstrual cycle. The 95% credible intervals for most estimates were quite wide, mainly because of the limited evidence for many combinations of treatment class and follow-up time and the uncertainty from estimating % MBL < 80 mL or % PBAC < 100 from summary statistics., Conclusions: LNG-IUS and endometrial ablation are very efficacious in treating HMB. The study yielded useful insights on using MTC in sparse evidence networks. Diversity of outcome measures and follow-up times in the HMB literature presented considerable challenges. The Bayesian credible intervals reflected the various sources of uncertainty.

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.

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.

Though the broader literature suggests that women may be more vulnerable to the effects of trauma exposure, most available studies on combat trauma have relied on samples in which women's combat exposure is limited and analyses that do not directly address gender differences in associations between combat exposure and postdeployment mental health. Female service members' increased exposure to combat in Afghanistan and Iraq provides a unique opportunity to evaluate gender differences in different dimensions of combat-related stress and associated consequence for postdeployment mental health. The current study addressed these research questions in a representative sample of female and male U.S. veterans who had returned from deployment to Afghanistan or Iraq within the previous year. As expected, women reported slightly less exposure than men to most combat-related stressors, but higher exposure to other stressors (i.e., prior life stress, deployment sexual harassment). No gender differences were observed in reports of perceived threat in the war zone. Though it was hypothesized that combat-related stressors would demonstrate stronger negative associations with postdeployment mental health for women, only one of 16 stressor × gender interactions achieved statistical significance and an evaluation of the clinical significance of these interactions revealed that effects were trivial. Results suggest that female Operation Enduring Freedom/Operation Iraqi Freedom service members may be as resilient to combat-related stress as men. Future research is needed to evaluate gender differences in the longer-term effects of combat exposure.

Clinicians are often uncertain about how to manage elevated blood pressure (BP) when a patient reports that he/she has recently missed several doses of antihypertensive medications. While we know that better adherence can improve BP during several months, the magnitude of this relationship in the short term is poorly understood. The authors examined this issue using a group of patients who monitored adherence using a Medication Events Monitoring System (MEMS) cap and had BP measurements in the course of routine clinical practice. BP readings were compared following 7 days of excellent adherence (100%) or poor adherence (< 60%), omitting BP values following intermediate adherence. Using several different methods, BP following 7 days of excellent adherence was between 12/7 mm Hg and 15/8 mm Hg lower than after 7 days of poor adherence. Clinicians can use this effect size to calibrate their impressions of what the BP might have been with improved adherence., (© 2011 Wiley Periodicals, Inc.)

Research on patient-centered care supports use of patient/consumer self-report measures in monitoring health outcomes. This study examined the incremental value of self-report mental health measures relative to a clinician-rated measure in predicting functional outcomes among mental health service recipients. Participants (n = 446) completed the Behavior and Symptom Identification Scale, the Brief Symptom Inventory, and the Veterans/Rand Short Form-36 at enrollment in the study (T1) and 3 months later (T2). Global Assessment of Functioning (GAF) ratings, mental health service utilization, and psychiatric diagnoses were obtained from administrative data files. Controlling for demographic and clinical variables, results indicated that improvement based on the self-report measures significantly predicted one or more functional outcomes (i.e., decreased likelihood of post-enrollment psychiatric hospitalization and increased likelihood of paid employment), above and beyond the predictive value of the GAF. Inclusion of self-report measures may be a useful addition to performance measurement efforts.

Risk adjustment for mental health care is important for making meaningful comparisons of provider, program, and system performance. The purpose of this study was to compare the predictive value of three diagnosis-based risk-adjustment models for predicting self-reported mental health outcomes. Baseline and 3-month follow-up mental health assessments were obtained on 1,023 veterans in Veterans Health Administration mental health programs between 2004 and 2006. Least-squares regression models predicting mental health outcomes used the Behavior and Symptom Identification Scale-24, Veterans RAND-36, and Brief Symptom Inventory. Sequential models began with sociodemographics, added baseline self-reported mental health, and compared three psychiatric case mix schemes: two using six diagnostic categories and the other (psychiatric case mix system [PsyCMS]) using 46 categories. R (2) were lowest for sociodemographic models (0.010-0.074) and highest for models with the PsyCMS (0.187-0.425). The best predictive ability was obtained when baseline mental health and 1 year of psychiatric diagnoses were added to sociodemographic models; however, the "best" risk-adjustment model differed between inpatients and outpatients.

Background: Racial disparities in blood pressure (BP) control are well documented but poorly understood; prior studies have only included a limited range of potential explanatory factors. We examined a comprehensive set of putative factors related to blood pressure control, including patient clinical and sociodemographic characteristics, beliefs about BP and BP medications, medication adherence, and experiences of discrimination, to determine if the impact of race on BP control remains after accounting for such factors., Methods and Results: We recruited 806 white and black patients with hypertension from an urban safety-net hospital. From a questionnaire administered to patients after their clinic visits, electronic medical record and BP data, we assessed an array of patient factors. We then examined the association of patient factors with BP control by modeling it as a function of the covariates using random-effects logistic regression. Blacks indicated worse medication adherence, more discrimination, and more concerns about high BP and BP medications, compared with whites. After accounting for all factors, race was no longer a significant predictor of BP control., Conclusions: Results suggest that equalizing patients' health beliefs, medication adherence, and experiences with care could ameliorate disparities in BP control. Additional attention must focus on the factors associated with race to identify, and ultimately intervene on, the causes of racial disparities in BP outcomes.

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.

In surveys with multiple waves of follow-up, nonrespondents to the first wave are sometimes followed intensively but this does not guarantee an increase in the response rate or an appreciable change in the estimate of interest. Most prior research has focused on stopping rules for Phase I clinical trials. To our knowledge there are no standard methods to stop follow-up in observational studies. Previous research suggests optimal stopping strategies where decisions are based on achieving a given precision for minimum cost or reducing cost for a given precision. In this paper, we propose three stopping rules that are based on assessing whether successive waves of sampling provide evidence that the parameter of interest is changing. Two of the rules rely on examining patterns of observed responses while the third rule uses missing data methods to multiply impute missing responses. We also present results from a simulation study to evaluate our proposed methods. Our simulations suggest that rules that adjust for nonresponse are preferred for decisions to discontinue follow-up since they reduce bias in the estimate of interest. The rules are not complicated and may be applied in a straightforward manner. Discontinuing follow-up would save time and possibly resources, and adjusting for the nonresponse in the analysis would reduce the impact of nonresponse bias., (Copyright (c) 2007 John Wiley & Sons, Ltd.)

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.

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.

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.

Only 1% of the world's chess grandmasters are women. This underrepresentation is unlikely to be caused by discrimination, because chess ratings objectively reflect competitive results. Using data on the ratings of more than 250,000 tournament players over 13 years, we investigated several potential explanations for the male domination of elite chess. We found that (a) the ratings of men are higher on average than those of women, but no more variable; (b) matched boys and girls improve and drop out at equal rates, but boys begin chess competition in greater numbers and at higher performance levels than girls; and (c) in locales where at least 50% of the new young players are girls, their initial ratings are not lower than those of boys. We conclude that the greater number of men at the highest levels in chess can be explained by the greater number of boys who enter chess at the lowest levels.

Background: Despite guidelines recommending similar blood pressure (BP) treatment goals regardless of age, controversy exists regarding treating those > or = 80 years of age. Whether this affects current practice in terms of differences in BP control and number of prescribed antihypertensives by age is unknown., Methods: This was a cross-sectional study of 59,207 outpatients with hypertension treated at 10 Veterans Health Administration sites. Outcome measures were BP control (< 140/90 mm Hg) and number of antihypertensive medications at the patient's last study visit. Uncontrolled BP was also categorized by whether systolic, diastolic, or both were elevated., Results: Subjects 40 to 49 years and those 50 to 59 years of age had better BP control (adjusted odds ratios 1.35 [95% CI = 1.26 to 1.44] and 1.22 [CI = 1.17 to 1.28] respectively) compared with subjects 60 to 69 years of age; those 70 to 79 years of age and > or = 80 years had worse control (OR = 0.92 for both; respective CIs = 0.88 to 0.96 and 0.86 to 0.99). Antihypertensive medication use increased by successive decade to age 80 years, after which the trend reversed. Adjusted mean number of medications by age were: < 40 years, 2.60; 40 to 49, 2.82; 50 to 59, 2.91; 60 to 69, 3.01; 70 to 79, 3.03; > or = 80 years, 2.90 (P < .05 in pairwise comparisons). The trend of number of medications by age did not vary across hypertension categories, despite systolic hypertension increasing and diastolic hypertension decreasing with age. Subjects < 40 years of age were taking the fewest medications, followed by subjects > or = 80 years and then by those 40 to 49, 50 to 59, 70 to 79, and 60 to 69 years of age., Conclusions: The oldest hypertension patients, despite worse BP control, are being treated less aggressively with fewer medications than their younger counterparts (those 60 to 79 years of age). Our results suggest that current controversy in treating the oldest hypertensive patients is having an impact on actual practice.

The Apolipoprotein-E (Apo-E) gene, a gene that produces proteins which help to regulate lipid levels in the bloodstream, is of interest in the study of cardiovascular diseases. An approach to making inferences about the genetic effects of the Apo-E gene has been developed by Glickman and Gagnon (2002). The framework describes the role of genetic and risk factors on the onset ages of multiple diseases, and accounts for the possibility that an individual was censored for reasons related to the diseases of interest. The framework also allows for missing genetic information, so that subjects censored prior to genetic sampling, and therefore missing such information, may still be included in the analysis. We apply an extension to this framework to the original cohort of the Framingham Heart Study for measuring the effects of different Apo-E genotypes on the onset age of various cardiovascular disease events. In particular, we compare the fit of univariate versus multivariate onset age components to the model, whether to incorporate health covariates measured at baseline or at a point later in the study, and whether to assume a heritability model for Apo-E genotype frequencies. The results of the best fitting model are presented.

It is known that the ages of onset of many diseases are determined by both a genetic predisposition to disease as well as environmental risk factors that are capable of either triggering or hastening the onset of disease. Difficulties in modelling onset ages arise when a large fraction fail to inherit the disease-causing gene, and multiple reasons for censoring result in unobserved onset ages. We present a parametric Bayesian model that includes subjects with missing age information, non-susceptible subjects and allows for regression on risk factor information. The model is fit using Markov chain Monte Carlo simulation from the posterior distribution, and allows the simultaneous estimation of the proportion of the population at risk of disease, the mean onset age of disease, survival after disease onset, and the association of risk factors with susceptibility, onset age and survival after onset. An example employing Huntington's disease data is presented., (Copyright 2003 John Wiley & Sons, Ltd.)

Many late-onset diseases are caused by what appears to be a combination of a genetic predisposition to disease and environmental factors. The use of existing cohort studies provides an opportunity to infer genetic predisposition to disease on a representative sample of a study population, now that many such studies are gathering genetic information on the participants. One feature to using existing cohorts is that subjects may be censored due to death prior to genetic sampling, thereby adding a layer of complexity to the analysis. We develop a statistical framework to infer parameters of a latent variables model for disease onset. The latent variables model describes the role of genetic and modifiable risk factors on the onset ages of multiple diseases, and accounts for right-censoring of disease onset ages. The framework also allows for missing genetic information by inferring a subject's unknown genotype through appropriately incorporated covariate information. The model is applied to data gathered in the Framingham Heart Study for measuring the effect of different Apo-E genotypes on the occurrence of various cardiovascular disease events.

Background: Whereas geographical variations in intervention rates are well recognized, little is known about their implications for patient selection. This study looks at how the relative probability of being treated in different regions within England vary with a person's need for treatment, and whether higher intervention rates are associated with a greater probability of treatment at all levels of need or confined to only certain levels., Methods: The method was modelling of retrospective data from population surveys, patient cohort studies and population intervention rates. Two southern regions (SW Thames and Wessex) and two northern regions (Northern and Mersey) were compared. Subjects were men aged 55 years and above in the population with urinary symptoms suggestive of benign prostatic hyperplasia and men undergoing surgical treatment. The ratio of probability of surgery in the southern regions to that in the northern regions by level of symptom severity was determined., Results: The rate of surgery in the southern regions was 26.5 per cent higher than in the north. A higher proportion of patients in the north had severe symptoms before surgery (58 per cent vs 52 per cent; p = 0.002). The probabilities of being operated on in a given year varied by symptom severity in both the north and the south. The probability was higher in the south at all levels of symptom severity: none/mild (ratio = 1.44; p > 0.01), low-moderate (ratio = 1.35; p = 0.003), high-moderate (ratio = 1.53; p < 0.0001), and severe (ratio = 1.15; p > 0.01). On testing the sensitivity of the key assumptions by assuming a more severe distribution of symptoms in the south, the differences at none/mild and low-moderate symptom levels were enhanced but differences at high-moderate and severe symptom levels were reversed., Conclusions: As few men with mild symptoms qualify for surgery and most men with severe symptoms are operated on, any difference in patient selection between high and low rate regions is inevitably confined to the intermediate group of men with moderate symptoms. Surgeons appear to be rationing their resources in a sensible way, though perhaps not as stringently as could be achieved.

Objectives: Analyses were performed to reproduce and examine the sensitivity of the cross-specialty linkage algorithm used by Hsiao et al(1) to obtain the currently implemented resource-based relative value scale for Medicare physician reimbursement., Methods: The cross-specialty linkage procedure designed and implemented in Hsiao et al is an important component of the resource-based relative value scale underlying current Medicare Fee Schedule. This linkage procedure aligns independent intraspecialty relative value scales onto a common scale, and therefore determines the level of reimbursement accruing to each specialty. The complexity of the algorithm to perform this alignment has prevented critical review of the methodology. The authors examine the statistical properties of the algorithm, and diagnose its sensitivity from changes in the data and small modifications to the numerical procedure., Results: Our examination of the linkage algorithm uncovered some issues requiring further consideration. These include the questions raised about the use of "biweighting," and about the benefits of incorporating correlation information into the analysis. Moreover, simulation analyses demonstrate that the existing relative value scale is sensitive to changes in the input data and methodology. Certain specialties' reimbursement can shift by as much as 32% using Hsiao's algorithm. Most importantly, the interspecialty linkage algorithm underlying the current fee schedule downweights pairs of linked services even when such links are deemed more important from a clinical point of view. As a result, in some cases clinically superior links received little or no importance in the algorithm., Conclusions: The cross-specialty linkage procedure described in Hsiao et al may not adequately perform the task of aligning intraspecialty relative value scales onto a common scale because of the sensitivity of the algorithm and the choice of statistical methodology. The authors suggest improvements to Hsiao's method resulting from our analyses. If widespread adoption of the Medicare Fee Schedule is a component of health care reform, reconsideration of the process determining each specialty's payment level assumes new importance.

While international variations in intervention rates are well recognized, little is known about their implications for patient selection. This paper describes an exploratory study in which the probability of undergoing an elective intervention (surgery for benign prostatic hyperplasia) in an area in the United Kingdom was compared with an area in the United States. It found that the area with high intervention rates was associated with higher levels of surgery in men with low levels of need who are unlikely to gain much benefit.