Factors associated with antibiotic use, resistance and safety have been well recognized worldwide in the literature. Nevertheless, only few studies have been conducted in Jordan in this area. The aim of this study was to assess knowledge, behavior and attitude toward antibiotics use among adult Jordanians. The study represents a cross sectional survey using an interviewer administered questionnaire. Data collected from a random sample of 1141 adult Jordanians, recruited at different settings, regarding their knowledge about the effectiveness of, resistance toward, and self medications with antibiotics against bacterial, viral and parasitic diseases. 67.1% believed that antibiotics treat common cold and cough. 28.1% misused antibiotics as analgesics. 11.9% of females showed inadequate knowledge about the safe use of antibiotics during pregnancy and nursing. 28.5% kept antibiotics at home for emergency use and 55.6% use them as prophylaxis against infections. 49.0% use left-over antibiotics without physicians' consultation while 51.8% use antibiotics based on a relative advice. 22.9% of physicians prescribe antibiotics over the phone and >50.0% routinely prescribe antibiotics to treat common cold symptoms. Our findings indicated that young adults showed unsatisfactory knowledge of proper antibiotic use. Therefore, there is an urge for educational programs using all media means.

In this study, ALN 70 mg OW produced a 50% greater reduction in bone resorption as measured by urine NTx and significantly greater increases in lumbar spine and hip BMD than did RIS 5 mg daily. The treatments had similar safety profiles and were generally well-tolerated. Additional studies are needed comparing OW ALN with OW RIS, which became available after the commencement of the present study.

Treatment protocols developed by major cooperative groups and institutions to treat childhood ALL was successfully adapted and suggest that such an approach may be useful in other low- and middle-income countries.

Implementing a high-intensity staffing model is associated with significant improvements in MRs, LOS, and bed utilization of critically ill oncology patients.