Despite advances in the technology of cancer pain assessment and control, cancer pain often remains undertreated even in hospital settings. To determine whether a graphical display of cancer patients' pain levels might improve their treatment, the investigators conducted a randomized controlled trial. Patients assigned to the intervention group (N = 40) had periodic pain assessments by study staff, who graphically recorded their reported pain-intensity levels on bedside wall charts. Control group patients (N = 38) had periodic pain assessments by study staff but did not have this information displayed. The results failed to show a significant beneficial effect of the intervention on pain control, sleep, cancer-related symptoms, or analgesic dosing, but confidence intervals were broad. More research is needed to improve the quality of care for inpatients with cancer-related pain.

Nutritive Sucking (NS) is a highly organized process that can reflect infants' maturation during the early post-natal period. The assessment of NS may provide a sensitive means of evaluating early motor skills and their development. Thus, a reliable tool for assessing sucking behavior may benefit diagnostics and treatment of newborns since the first days of life. The aim of this work is to propose an automatized system to measure sucking ability and calculate a set of objective and quantitative indices for its assessment. We focused on the analysis of the Intraoral Pressure (IP) generated by infants while feeding: an ad-hoc designed software application was developed to analyze the signal obtained by a pressure transducer connected with a catheter placed through a standard bottle teat into the oral cavity during feeding. Automatic algorithms for suck and burst identification and for their characterization are described. We carried out a preliminary test of the system, analyzing data from two healthy term newborns, tested twice over time (1-2 days old and 6-10 weeks later). We calculated a set of different sucking parameters (e.g. sucking amplitude, frequency and area), and proposed some indices, that are typically used for the assessment of motor control, in order to assess the smoothness of IP. Results encourage further investigation of the proposed system for monitoring the development of early sucking skills.

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