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Purpose Early detection and management of symptoms in patients with cancer improves outcomes. read more However, the optimal approach to symptom monitoring and management is unknown. InSight Care is a mobile health intervention that captures symptom data and facilitates patient-provider communication to mitigate symptom escalation. Patients and methods Patients initiating antineoplastic treatment at a Memorial Sloan Kettering regional location were eligible. Technology supporting the program included the following a predictive model that identified patient risk for a potentially preventable acute care visit; a secure patient portal enabling communication, televisits, and daily delivery of patient symptom assessments; alerts for concerning symptoms; and a symptom-trending application. The main outcomes of the pilot were feasibility and acceptability evaluated through enrollment and response rates and symptom alerts, and perceived value evaluated on the basis of qualitative patient and provider interviews. Results The pilot program enrolled 100 high-risk patients with solid tumors and lymphoma (29% of new treatment starts v goal of 25%). Over 6 months of follow-up, the daily symptom assessment response rate was 56% (the goal was 50%), and 93% of patients generated a severe symptom alert. Patients and providers perceived value in the program, and archetypes were developed for program improvement. Enrolled patients were less likely to use acute care than were other high-risk patients. Conclusion InSight Care was feasible and holds the potential to improve patient care and decrease facility-based care. Future work should focus on optimizing the cadence of patient assessments, the workforce supporting remote symptom management, and the return of symptom data to patients and clinical teams.Background Atherosclerotic peripheral artery disease (PAD) is an important cause of morbidity in the United States. In this article, we conducted a multiple cause-of-death analysis of PAD to determine patterns and trends in its contribution to mortality. Methods The Centers for Disease Control and Prevention statistics data were used to determine the number of deaths with the following 10th revision of the International Statistical Classification of Diseases and Related Health Problems codes selected as an underlying cause of death (UCOD) or a contributing cause considering multiple causes of death (MCOD) 170.2, 170.9, 173.9, 174.3, and 174.4. The age-adjusted death rates per 100 000 population by age, gender, race, ethnicity, and region were computed for the United States between the years 1999 and 2017. In these years, there were 47 728 569 deaths from all causes. Results In 1999 to 2017 combined, there were a total of 311 175 deaths associated with PAD as an UCOD. However, there were 1 361 253 deaths with PAD listed as an UCOD or a contributing cause in MCOD, which is 4.3 times higher than UCOD. Age-adjusted MCOD rates were higher in males (25.6) than in females (19.4). Among non-Hispanics, the rate in African American males and females was 1.2 times higher than in Caucasians. Age-adjusted MCOD rates have declined in African Americans and Caucasians irrespective of gender from 2000 to 2017. Conclusion Peripheral artery disease is mentioned 4 times as often on death certificates as a contributing cause of death as it is chosen as the UCOD. Overall, age-adjusted MCOD rates were higher in African Americans than Caucasians, males than females, and declined between 2000 and 2017.Evaluation of the diagnostic sensitivity (DSe) and specificity (DSp) of tests for infectious diseases in wild animals is challenging, and some of the limitations may affect compliance with the OIE-recommended test validation pathway. We conducted a methodologic review of test validation studies for OIE-listed diseases in wild mammals published between 2008 and 2017 and focused on study design, statistical analysis, and reporting of results. Most published papers addressed Mycobacterium bovis infection in one or more wildlife species. Our review revealed limitations or missing information about sampled animals, identification criteria for positive and negative samples (case definition), representativeness of source and target populations, and species in the study, as well as information identifying animals sampled for calculations of DSe and DSp as naturally infected captive, free-ranging, or experimentally challenged animals. The deficiencies may have reflected omissions in reporting rather than design flaws, although lack of random sampling might have induced bias in estimates of DSe and DSp. We used case studies of validation of tests for hemorrhagic diseases in deer and white-nose syndrome in hibernating bats to demonstrate approaches for validation when new pathogen serotypes or genotypes are detected and diagnostic algorithms are changed, and how purposes of tests evolve together with the evolution of the pathogen after identification. We describe potential benefits of experimental challenge studies for obtaining DSe and DSp estimates, methods to maintain sample integrity, and Bayesian latent class models for statistical analysis. We make recommendations for improvements in future studies of detection test accuracy in wild mammals.Growing evidence indicates that whether critical and hostile behavior harms relationships depends on how partners respond. The current studies test a key behavioral indicator of partners' responsiveness by examining whether partners' withdrawal when actors exhibit negative-direct behavior predicts within-person and longitudinal declines in perceived partner responsiveness and relationship satisfaction. Test of Actors' negative-direct × Partners' withdrawal interactions indicated that partners' withdrawal in the context of actors' negative-direct behavior when targeted for change during conflict discussions (Study 1, N = 162 dyads) and during daily interactions (Study 2, N = 151 dyads) predicted lower perceived partner responsiveness and relationship satisfaction. This Actor × Partner effect did not emerge when actors were pushing for change during conflict (Study 1) and was more consistent predicting perceived partner responsiveness. These results illustrate the importance of Actor × Partner effects and indicate that actors' own destructive behavior provides an important context to diagnose partners' responsiveness.