A multidisciplinary team approach is essential for assessment and management because combined medical and oral problems are the most frequent cause of pediatric feeding problems. A significant relationship was found between the type of feeding problem and age. Infants born preterm and/or with a birthweight below the tenth percentile for gestational age are at greater risk for developing feeding disorders.

Performance measurement is a fundamental instrument of management. For maintenance management, one of the key issues is to ensure the maintenance activities planned and executed have given the expected results. This can be facilitated by effective use of rigorously defined key performance indicators (KPI) that are able to measure important aspects of maintenance function. In this paper, an industrial survey was carried out to explore the use of performance measurement in maintenance management. Based on survey responses, analyses were performed on popularly used KPI's, how these KPI's are sourced or chosen; the influence of manufacturing environment and maintenance objectives on KPI choice and effective use of these KPI's in decision support and performance improvement. It was found that maintenance performance measurement is dominated by lagging indicators (equipment, maintenance cost and safety performance). There is lesser use of leading (maintenance work process) indicators. The results showed no direct correlations between the maintenance objectives pursued and the KPI used. Further analysis showed that only a minority of the companies have high percentage of decisions and changes triggered by KPI use and only a few are satisfied with their performance measurement systems. Correlation analysis showed a strong positive linear relationship between degree of satisfaction and process changes/decisions triggered by KPI use, with the least satisfied people having the least decisions and changes triggered by KPI use. The results indicates some ineffectiveness of performance measurement systems in driving performance improvement in industries.

Background: Previous studies have shown an inverse gradient in socioeconomic status for disability after stroke. However, no distinction has been made between the period in the stroke rehabilitation unit (SRU) and the period after discharge. The purpose of this study was to examine the impact of education and equivalent income on motor and functional recovery for both periods. Methods: 419 consecutive patients were recruited from six SRUs across Europe. The Barthel Index (BI) and Rivermead Motor Assessment (RMA) were measured on admission, at discharge and 6 months after stroke.Ordinal logistic regression models were used, adjusting for case mix. Cumulative odds ratios (OR) were calculated to measure differences in recovery between educational levels and income groups with adjustments for case mix. Results: Patients with a low educational level were less likely to improve on the BI (OR 0.53; 95% CI 0.32 to 0.87) and the RMA arm during inpatient stay (OR 0.54; 95% CI 0.31 to 0.94). For this period, no differences in recovery were found between income groups. After discharge, patients with a low equivalent income were less likely to improve on all three sections of the RMA: gross function (OR 0.20; 95% CI 0.06 to 0.66), leg and trunk (OR 0.22; 95% CI 0.09 to 0.55) and arm (OR 0.30; 95% CI 0.10 to 0.87). No differences were found for education. Conclusions: During inpatient rehabilitation, educational level was a determinant of recovery, while after discharge, equivalent income played an important role. This study suggests that it is important to develop a better understanding of how socioeconomic factors affect the recovery of stroke patients.

For the distribution function of the busy period in the M/G/l queueing system with traffic intensity less than one it is shown that the tail varies regularly at infinity iff the tail of the service time varies regularly at infinity.