Bridging the Gap: Developing a Palliative Approach to Care for Young Adults with Life Limiting Conditions

Bridging the Gap: Developing a Palliative Approach to Care for Young Adults with Life Limiting Conditions

More young adults (YAs) with life limiting conditions (LLC) are surviving into adulthood as earlier diagnosis and improved medical management in pediatric care lead to higher rates of survival for cancer, congenital heart and neuromuscular conditions. When these YAs leave pediatric care, they leave behind comprehensive and coordinated health, social and education services for uncoordinated adult systems, with limited access to palliative services they received in pediatric care.

YAs with LLCs will benefit from a public health palliative approach to care. This approach better matches their chronic disease trajectories of a series of declining plateaus over a period of months to years, punctuated by unpredictable periodic crises. Public health palliative care is a blended provision of health care and community services based on evidence that health care is most effective and least expensive when offered in conjunction with a complement of services that reflects social determinants of health and well-being. For YAs with LLCs, these resources will support their health, social, vocational, independent living, and educational goals to maximize their opportunities in an abbreviated time frame.


The objectives of this workshop are to:

1. Provide an overview of the young adult population with palliative care needs.
2. Discuss current care of this population.
3. Highlight results from three recent projects to examine and address needs of this population.
4. Dialogue with audience about other programs, initiatives, or ideas to address the needs of this population.

We look forward to robust conversations and ideas from your practice and research.

A novel hybrid swarm based approach for curriculum based course timetabling problem

This work applies a hybrid approach in solving the university curriculum-based course timetabling problem as presented as part of the 2nd International Timetabling Competition 2007 (ITC2007). The core of the hybrid approach is based on an artificial bee colony algorithm. Past methods have applied artificial bee colony algorithms to university timetabling problems with high degrees of success. Nevertheless, there exist inefficiencies in the associated search abilities in term of exploration and exploitation. To improve the search abilities, this work introduces a hybrid approach entitled nelder-mead great deluge artificial bee colony algorithm (NMGD-ABC) where it combined additional positive elements of particle swarm optimization and great deluge algorithm. In addition, nelder-mead local search is incorporated into the great deluge algorithm to further enhance the performance of the resulting method. The proposed method is tested on curriculum-based course timetabling as presented in the ITC2007. Experimental results reveal that the proposed method is capable of producing competitive results as compared with the other approaches described in literature

The influence of socio-demographic, psychological and knowledge-related variables alongside perceived cooking and food skills abilities in the prediction of diet quality in adults: a nationally representative cross-sectional study

Background: Interventions to increase cooking skills (CS) and food skills (FS) as a route to improving overall diet are popular within public health. This study tested a comprehensive model of diet quality by assessing the influence of socio-demographic, knowledge- and psychological-related variables alongside perceived CS and FS abilities. The correspondence of two measures of diet quality further validated the Eating Choices Index (ECI) for use in quantitative research.
Methods: A cross-sectional survey was conducted in a quota-controlled nationally representative sample of 1049 adults aged 20–60 years drawn from the Island of Ireland. Surveys were administered in participants’ homes via computer-assisted personal interviewing (CAPI) assessing a range of socio-demographic, knowledge- and psychological-related variables alongside perceived CS and FS abilities. Regression models were used to model factors influencing diet quality. Correspondence between 2 measures of diet quality was assessed using chi-square and Pearson correlations.
Results: ECI score was significantly negatively correlated with DINE Fat intake (r = -0.24, p < 0.001), and ECI score was significantly positively correlated with DINE Fibre intake (r = 0.38, p < 0.001), demonstrating a high agreement. Findings indicated that males, younger respondents and those with no/few educational qualifications scored significantly lower on both CS and FS abilities. The relative influence of socio-demographic, knowledge, psychological variables and CS and FS abilities on dietary outcomes varied, with regression models explaining 10–20 % of diet quality variance. CS ability exerted the strongest relationship with saturated fat intake (β = -0.296, p < 0.001) and was a significant predictor of fibre intake (β = -0.113, p < 0.05), although not for healthy food choices (ECI) (β = 0.04, p > 0.05).
Conclusion: Greater CS and FS abilities may not lead directly to healthier dietary choices given the myriad of other factors implicated; however, CS appear to have differential influences on aspects of the diet, most notably in relation to lowering saturated fat intake. Findings suggest that CS and FS should not be singular targets of interventions designed to improve diet; but targeting specific sub-groups of the population e.g. males, younger adults, those with limited education might be more fruitful. A greater understanding of the interaction of factors influencing cooking and food practices within the home is needed.