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We combine diffuse emission photometry from GLIMPSE and several other Galactic plane surveys covering near-IR through radio wavelengths to synthesize a global spectral energy distribution (SED) for the M17 complex. By balancing the integrated flux in the SED with the total bolometric luminosity of all known O and early B stars in the ionizing cluster, we estimate a distance to M17 of 1:6 þ0:3 À0:1 kpc. At this distance, the observed total flux in the SED corresponds to a luminosity of 2:4 AE 0:3 ; 10 6 L . We find that the SED from the H ii region peaks at shorter wavelengths and has a qualitatively different shape than the SED from the photodissociation region ( PDR). We find that polycyclic aromatic hydrocarbons ( PAHs) are destroyed over a short distance or edge at the boundary of the H ii region. We demonstrate that this PAH destruction edge can be located easily using GLIMPSE band-ratio images and confirm this using Spitzer IRS spectra. We investigate the relative roles of extreme ultraviolet (EUV ) and X-ray photons in the destruction of PAHs, concluding that X-rays are not an important PAH destruction mechanism in M17 or, by extension, in any other Galactic H ii region. Our results support the hypothesis that PAHs are destroyed by EUV photons within H ii regions. PAHs dominate the mid-IR emission in the neutral PDR beyond the ionized gas.

Objective To explore types of e-prescribing errors in community pharmacies and their potential consequences, as well as the factors that contribute to e-prescribing errors. Methods Data collection involved performing 45 total hours of direct observations in five pharmacies. Follow-up interviews were conducted with 20 study participants. Transcripts from observations and interviews were subjected to content analysis using NVivo 10. Results Pharmacy staff detected 75 e-prescription errors during the 45 hour observation in pharmacies. The most common e-prescribing errors were wrong drug quantity, wrong dosing directions, wrong duration of therapy, and wrong dosage formulation. Participants estimated that 5 in 100 e-prescriptions have errors. Drug classes that were implicated in e-prescribing errors were antiinfectives, inhalers, ophthalmic, and topical agents. The potential consequences of e-prescribing errors included increased likelihood of the patient receiving incorrect drug therapy, poor disease management for patients, additional work for pharmacy personnel, increased cost for pharmacies and patients, and frustrations for patients and pharmacy staff. Factors that contribute to errors included: technology incompatibility between pharmacy and clinic systems, technology design issues such as use of auto-populate features and dropdown menus, and inadvertently entering incorrect information. Conclusion Study findings suggest that a wide range of e-prescribing errors are encountered in community pharmacies. Pharmacists and technicians perceive that causes of e-prescribing errors are multidisciplinary and multifactorial, that is to say e-prescribing errors can originate from technology used in prescriber offices and pharmacies.

Informal caregivers play a vital role in ensuring safe and appropriate medication use by older adults. Medication management is complex and involves many activities that are supported through the use of a variety of tools and strategies that have been adapted and individualized to each specific caregiving scenario. Caregivers should be an important component of interventions that aim to improve medication use among older adults.

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