RESUMO
In the spring of 2006, four human cases of parapoxvirus infections in Missouri residents were reported to the Centers for Disease Control and Prevention (CDC), two of which were initially diagnosed as cutaneous anthrax. This investigation was conducted to determine the level of recognition of zoonotic parapoxvirus infections and prevention measures, the degree to which veterinarians may be consulted on human infections and what forces were behind this perceived increase in reported infections. Interviews were conducted and clinical and environmental sampling was performed. Swab and scab specimens were analyzed by real-time polymerase chain reaction (PCR), whereas serum specimens were evaluated for parapoxvirus antibodies. Three case patients were found to have fed ill juvenile animals without using gloves. Forty-six percent of veterinarians reported having been consulted regarding suspected human orf infections. Orf virus DNA was detected from five of 25 asymptomatic sheep. Analysis of extracellular envelope gene sequences indicated that sheep and goat isolates clustered in a species-preferential fashion. Parapoxvirus infections are common in Missouri ruminants and their handlers. Infected persons often do not seek medical care; some may seek advice from veterinarians rather than physicians. The initial perception of increased incidence in Missouri may have arisen from a reporting artifact stemming from heightened concern about anthrax. Asymptomatic parapoxvirus infections in livestock may be common and further investigation warranted.
RESUMO
This project examined patterns, predictors, and outcomes of medication adherence in a convenience sample of 37 renal transplant recipients aged 55 years or older in a Mid-Southern U.S. facility using an exploratory, descriptive, longitudinal design. Electronic monitoring was conducted for 12 months using the Medication Event Monitoring System. An alarming 86% of the participants were nonadherent with medications. Four clusters of medication taking and timing patterns were identified with evening doses presenting particular challenges. Depression, self-efficacy, social support, and medication side effects did not predict medication adherence. There was no significant difference in medication adherence scores between those with and without infections. Medication adherence pattern data from electronic monitoring provides an opportunity for health care professionals to move away from blaming the patient by attempting to identify predictors for medication nonadherence. Medication dose taking and timing patterns could be explored with patients so that medication adherence interventions could target specific patient patterns.