Some animals have the cognitive capacity to differentiate between different species of predators and generate different alarm calls in response. However, the presence of any addition information that might be encoded into alarm calls has been largely unexplored. In the present study, three similar-sized human females walked through a Gunnison's prairie dog (Cynomys gunnisoni) colony wearing each of three different-colored shirts: blue, green, and yellow. We recorded the alarm calls and used discriminant function analysis to assess whether the calls for the different-colored shirts were significantly different. The results showed that the alarm calls for the blue and the yellow shirts were significantly different, but the green shirt calls were not significantly different from the calls for the yellow shirt. The colors that were detected, with corresponding encoding into alarm calls, reflect the visual perceptual abilities of the prairie dogs. This study suggests that prairie dogs are able to incorporate labels about the individual characteristics of predators into their alarm calls, and that the complexity of information contained in animal alarm calls may be greater than has been previously believed.
Patient experience measurement is receiving considerable attention from hospital executives, healthcare leaders, purchasers such as the Centers for Medicare and Medicaid Services (CMS), and patients. It is therefore appropriate and necessary to examine the methods of survey administration, and the analysis presented here seeks to understand the impact of one particular aspect of the measurement: response rate. Utilizing publicly reported HCAHPS (Hospital Consumer Assessment of Healthcare Providers and Systems) data from Hospital Compare, a positive correlation between response rate and HCAHPS scores nationwide was identified and replicated. This correlation, which was most recently published by the Hospital Quality Institute (HQI) for California facilities, implies that increasing response rates can return higher HCAHPS dimension scores. Accurate patient perceptions of the inpatient experience may be hidden by insufficient representativeness of the data. In other words, publicly-reported scores may be lower than they should be, and hospitals may be mistakenly devaluing their efforts to improve the patient experience. Responses from a more representative sample of the patient population are key to capturing more accurate HCAHPS scores.
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