Implementing an innovative consent form: the PREDICT experience

<p>Abstract</p> <p>Background</p> <p>In the setting of coronary angiography, generic consent forms permit highly variable communication between patients and physicians. Even with the existence of multiple risk models, clinicians have been unable to readily access them and thus provide patients with vague estimations regarding risks of the procedure.</p> <p>Methods</p> <p>We created a web-based vehicle, PREDICT, for embedding patient-specific estimates of risk from validated multivariable models into individualized consent documents at the point-of-care. Beginning August 2006, outpatients undergoing coronary angiography at the Mid America Heart Institute received individualized consent documents generated by PREDICT. In February 2007 this approach was expanded to all patients undergoing coronary angiography within the four Kansas City hospitals of the Saint Luke's Health System. Qualitative research methods were used to identify the implementation challenges and successes with incorporating PREDICT-enhanced consent documents into routine clinical care from multiple perspectives: administration, information systems, nurses, physicians, and patients.</p> <p>Results</p> <p>Most clinicians found usefulness in the tool (providing clarity and educational value for patients) and satisfaction with the altered processes of care, although a few cardiologists cited delayed patient flow and excessive patient questions. The responses from administration and patients were uniformly positive. The key barrier was related to informatics.</p> <p>Conclusion</p> <p>This preliminary experience suggests that successful change in clinical processes and organizational culture can be accomplished through multidisciplinary collaboration. A randomized trial of PREDICT consent, leveraging the accumulated knowledge from this first experience, is needed to further evaluate its impact on medical decision-making, patient compliance, and clinical outcomes.</p

Choosing A DIVA: A Comparison of Emerging Digital Imagery Vegetation Analysis Techniques

Question: What is the precision of five methods of measuring vegetation structure using ground-based digital imagery and processing techniques? Location: Lincoln, Nebraska, USA. Methods: Vertical herbaceous cover was recorded using digital imagery techniques at two distinct locations in a mixed-grass prairie. The precision of five ground-based digital imagery vegetation analysis (DIVA)methods for measuring vegetation structure was tested using a split-split plot analysis of covariance. Variability within each DIVA technique was estimated using coefficient of variation of mean percentage cover. Results: Vertical herbaceous cover estimates differed among DIVA techniques. Additionally, environmental conditions affected the vertical vegetation obstruction estimates for certain digital imagery methods, while other techniques were more adept at handling various conditions. Overall, percentage vegetation cover values differed among techniques, but the precision of four of the five techniques was consistently high. Conclusions: DIVA procedures are sufficient for measuring various heights and densities of standing herbaceous cover. Moreover, digital imagery techniques can reduce measurement error associated withmultiple observers’ standing herbaceous cover estimates, allowing greater opportunity to detect patterns associated with vegetation structure

Use of Non-Pharmacological Pain Treatment Modalities Among Veterans with Chronic Pain: Results from a Cross-Sectional Survey

BACKGROUND: Despite strong evidence for the effectiveness of non-pharmacological pain treatment modalities (NPMs), little is known about the prevalence or correlates of NPM use. OBJECTIVE: This study examined rates and correlates of NPM use in a sample of veterans who served during recent conflicts. DESIGN: We examined rates and demographic and clinical correlates of self-reported NPM use (operationalized as psychological/behavioral therapies, exercise/movement therapies, and manual therapies). We calculated descriptive statistics and examined bivariate associations and multivariable associations using logistic regression. PARTICIPANTS: Participants were 460 veterans endorsing pain lasting \u3e /= 3 months who completed the baseline survey of the Women Veterans Cohort Study (response rate 7.7%. MAIN MEASURES: Outcome was self-reported use of NPMs in the past 12 months. KEY RESULTS: Veterans were 33.76 years old (SD = 10.72), 56.3% female, and 80.2% White. Regarding NPM use, 22.6% reported using psychological/behavioral, 50.9% used exercise/movement and 51.7% used manual therapies. Veterans with a college degree (vs. no degree; OR = 2.51, 95% CI = 1.46, 4.30, p = 0.001) or those with worse mental health symptoms (OR = 2.88, 95% CI = 2.11, 3.93, p \u3c 0.001) were more likely to use psychological/behavioral therapies. Veterans who were female (OR = 0.63, 95% CI = 0.43, 0.93, p = 0.02) or who used non-opioid pain medications (OR = 1.82, 95% CI = 1.146, 2.84, p = 0.009) were more likely to use exercise/movement therapies. Veterans who were non-White (OR = 0.57, 95% CI = 0.5, 0.94, p = 0.03), with greater educational attainment (OR = 2.11, 95% CI = 1.42, 3.15, p \u3c 0.001), or who used non-opioid pain medication (OR = 1.71, 95% CI = 1.09, 2.68, p = 0.02) were more likely to use manual therapies. CONCLUSIONS: Results identified demographic and clinical characteristics among different NPMs, which may indicate differences in veteran treatment preferences or provider referral patterns. Further study of provider referral patterns and veteran treatment preferences is needed to inform interventions to increase NPM utilization. Research is also need to identify demographic and clinical correlates of clinical outcomes related to NPM use

Gender Differences in Suicide and Self-Directed Violence Risk Among Veterans With Post-traumatic Stress and Substance Use Disorders

BACKGROUND: Veterans have a high prevalence of both post-traumatic stress disorder (PTSD) and substance use disorders (SUDs), which are related to suicide risk. Exploring gender-related differences in suicidal behavior risk among this subgroup of veterans is important to improve prevention and treatment strategies. To date, few studies have explored these differences. METHODS: The sample included 352,476 men and women veterans from the Women Veterans Cohort Study with a diagnosis of PTSD. First, we conducted analyses to assess gender-related differences in sociodemographic and clinical variables at baseline, as well as by suicidal behavior. Then, we conducted a series of Cox proportional hazards regression models to estimate the hazard ratios of engaging in self-directed violence (SDV) and dying by suicide by SUD status and gender, controlling for potential confounders. RESULTS: Adjusted analyses showed that, among veterans with PTSD, the presence of a SUD significantly increased the risk of SDV and death by suicide. Women with PTSD had a decreased risk of dying by suicide compared with men. No gender-related difference was observed for SDV. SUD increased the risk of SDV behavior in both women and men but increased the risk of dying by suicide only among men. CONCLUSIONS: Our findings revealed gender-related differences in SDV and suicide among veterans with a PTSD diagnosis with or without a SUD. Our study, along with the increasing numbers of women serving in the military, stresses the need to conduct gender-based analyses to help improve prevention and treatment strategies

Sex Differences in Military Sexual Trauma and Severe Self-Directed Violence

INTRODUCTION: Previous research has demonstrated an association between military sexual trauma and risk for suicide; however, risk for self-directed violence such as suicide attempt or nonsuicidal self-injury following military sexual trauma is understudied. This study examines the relationship between military sexual trauma and serious self-directed violence resulting in hospitalization, as well as whether this relationship differs by sex. METHODS: Participants were 750,176 Operations Enduring Freedom/Iraqi Freedom/New Dawn veterans who were enrolled in Veterans Health Administration care during the period of October 1, 2001-September 30, 2014 and who were screened for military sexual trauma. Data were analyzed in 2019. Bivariate analyses and Cox proportional hazards regression models were employed. RESULTS: Women veterans were more likely to screen positive for military sexual trauma (21.33% vs 1.63%), and women and men were equally likely to experience serious self-directed violence (1.19% women vs 1.18% men). Controlling for demographic variables and psychiatric morbidity, military sexual trauma predicted serious self-directed violence for both men and women. Further, men with military sexual trauma were 15% less likely to experience self-directed violence compared with women with military sexual trauma (hazard ratio=0.85, 95% CI=0.74, 0.98). CONCLUSIONS: Military sexual trauma is associated with risk for serious self-directed violence for both men and women veterans, and the relationship may be pronounced among women. Results underscore the importance of incorporating military sexual trauma into treatment and preventative efforts for self-directed violence

LossofCBY1resultsinaciliopathycharacterizedbyfeatures ofJoubert syndrome

Ciliopathies are clinically and genetically heterogeneous diseases. We studied three patients from two independent families presenting with features of Joubert syndrome: abnormal breathing pattern during infancy, developmental delay/intellectual disability, cerebellar ataxia, molar tooth sign on magnetic resonance imaging scans, and polydactyly. We identified biallelic loss‐of‐function (LOF) variants in CBY1, segregating with the clinical features of Joubert syndrome in the families. CBY1 localizes to the distal end of the mother centriole, contributing to the formation and function of cilia. In accordance with the clinical and mutational findings in the affected individuals, we demonstrated that depletion of Cby1 in zebrafish causes ciliopathy‐related phenotypes. Levels of CBY1 transcript were found reduced in the patients compared with controls, suggesting degradation of the mutated transcript through nonsense‐mediated messenger RNA decay. Accordingly, we could detect CBY1 protein in fibroblasts from controls, but not from patients by immunofluorescence. Furthermore, we observed reduced ability to ciliate, increased ciliary length, and reduced levels of the ciliary proteins AHI1 and ARL13B in patient fibroblasts. Our data show that CBY1 LOF‐variants cause a ciliopathy with features of Joubert syndrome