Improvement and implementation of a national individual care plan in paediatric palliative care: a study protocol

INTRODUCTION: Paediatric palliative care (PPC) is care for children with life-threatening or life-limiting conditions, and can involve complex high-tech care, which can last for months or years. In 2015, the National Individual Care Plan (ICP) for PPC was developed and has shown to be successful. The ICP can be seen as an instrument to facilitate coordination, quality and continuity of PPC. However, in practice, an ICP is often completed too late and for too few children. We aim to improve the coordination, quality and continuity of care for every child with a life-threatening or life-limiting condition and his/her family by further developing and implementing the ICP in the Netherlands. METHODS AND ANALYSIS: To evaluate the original ICP, ICP 1.0, interviews and questionnaires will be held among parents of children who have or have had an ICP 1.0 and healthcare professionals (HCPs) who used ICP 1.0. Based on the results, ICP 1.0 will be further developed. An implementation strategy will be written and the renewed ICP, ICP 2.0, will be nationally tested in an implementation period of approximately 7 months. During the implementation period, ICP 2.0 will be used for all children who are registered with Children’s Palliative Care teams. After the implementation period, ICP 2.0 will be evaluated using interviews and questionnaires among parents of children who received ICP 2.0 and HPCs who worked with ICP 2.0. Based on these results, ICP 2.0 will be further optimised into the final version: ICP 3.0. ETHICS AND DISSEMINATION: This study received ethical approval. The ICP 3.0 will be disseminated through the Dutch Centre of Expertise in Children’s Palliative Care, to ensure wide availability for the general public and HCPs within PPC. Additionally, we aim to publish study results in open-access, peer-reviewed journals and to present results at national and international scientific meetings

Development of the Dutch Structure for Integrated Children's Palliative Care

Children’s palliative care (CPC) is gaining attention worldwide, facilitated by the exchange of knowledge during regular specialised congresses. This article describes the developments in the Netherlands over the past 15 years. The Foundation for Children’s Palliative Expertise (PAL) was established as a nationwide initiative committed to improving palliative care for children countrywide. This led to the development of the first hospital-based CPC team in 2012, which expanded to a total of seven teams adjacent to children’s university hospitals. Regional networks for CPC were developed in parallel to these teams from 2014 onwards. The networks are a collaboration of professionals from different disciplines and organisations, from hospital to homecare, and have covered the aspects of CPC nationally from 2019 onwards. They are connected through the Dutch Knowledge Centre for CPC. This centre was established in 2018 by the PAL Foundation in collaboration with the Dutch Association for Pediatrics. In 2013, the first evidence-based guideline, ‘palliative care for children’, provided access to knowledge for parents and healthcare providers, and in 2017, a format for an individual palliative care plan was established. Within the Knowledge Centre for CPC, a physician’s support centre for dilemma’s regarding the end of life of children was set up. The efforts to have children’s palliative care embedded in the regular Dutch health care insurance are ongoing

The clinical practice guideline palliative care for children and other strategies to enhance shared decision-making in pediatric palliative care; pediatricians' critical reflections

BACKGROUND: Because of practice variation and new developments in palliative pediatric care, the Dutch Association of Pediatrics decided to develop the clinical practice guideline (CPG) palliative care for children. With this guideline, the association also wanted to precipitate an attitude shift towards shared decision-making (SDM) and therefore integrated SDM in the CPG Palliative care for children. The aim was to gain insight if integrating SDM in CPGs can potentially encourage pediatricians to practice SDM. Its objectives were to explore pediatricians' attitudes and thoughts regarding (1) recommendations on SDM in CPGs in general and the guideline Palliative care for children specifically; (2) other SDM enhancing strategies or tools linked to CPGs. METHODS: Semi-structured face-to-face interviews. Pediatricians (15) were recruited through purposive sampling in three university-based pediatric centers in the Netherlands. The interviews were audio-recorded and transcribed verbatim, coded by at least two authors and analyzed with NVivo. RESULTS: Some pediatricians considered SDM a skill or attitude that cannot be addressed by clinical practice guidelines. According to others, however, clinical practice guidelines could enhance SDM. In case of the guideline Palliative care for children, the recommendations needed to focus more on how to practice SDM, and offer more detailed recommendations, preferring a recommendation stating multiple options. Most interviewed pediatricians felt that patient decisions aids were beneficial to patients, and could ensure that all topics relevant to the patient are covered, even topics the pediatrician might not consider him or herself, or deems less important. Regardless of the perceived benefit, some pediatricians preferred providing the information themselves instead of using a patient decision aid. CONCLUSIONS: For clinical practice guidelines to potentially enhance SDM, guideline developers should avoid blanket recommendations in the case of preference sensitive choices, and SDM should not be limited to recommendations on non-treatment decisions. Furthermore, preference sensitive recommendations are preferably linked with patient decision aids

Search for dark matter produced in association with bottom or top quarks in √s = 13 TeV pp collisions with the ATLAS detector

A search for weakly interacting massive particle dark matter produced in association with bottom or top quarks is presented. Final states containing third-generation quarks and miss- ing transverse momentum are considered. The analysis uses 36.1 fb−1 of proton–proton collision data recorded by the ATLAS experiment at √s = 13 TeV in 2015 and 2016. No significant excess of events above the estimated backgrounds is observed. The results are in- terpreted in the framework of simplified models of spin-0 dark-matter mediators. For colour- neutral spin-0 mediators produced in association with top quarks and decaying into a pair of dark-matter particles, mediator masses below 50 GeV are excluded assuming a dark-matter candidate mass of 1 GeV and unitary couplings. For scalar and pseudoscalar mediators produced in association with bottom quarks, the search sets limits on the production cross- section of 300 times the predicted rate for mediators with masses between 10 and 50 GeV and assuming a dark-matter mass of 1 GeV and unitary coupling. Constraints on colour- charged scalar simplified models are also presented. Assuming a dark-matter particle mass of 35 GeV, mediator particles with mass below 1.1 TeV are excluded for couplings yielding a dark-matter relic density consistent with measurements

Tools and Techniques for Automatic Data Layout: A Case Study

Parallel architectures with physically distributed memory providing computing cycles and large amounts of memory are becoming more and more common. To make such architectures truly usable, programming models and support tools are needed to ease the programming effort for these parallel systems. Automatic data distribution tools and techniques play an important role in achieving that goal. This paper discusses state-of-the-art approaches to fully automatic data and computation partitioning. A kernel application is used as a case study to illustrate the main differences of four representative approaches. The paper concludes with a discussion of promising future research directions for automatic data layout

Tools and techniques for automatic data layout: a case study

Parallel architectures with physically distributed memory providing computing cycles and large amounts of memory are becoming more and more common. To make such architectures truly usable, programming models and support tools are needed to ease the programming effort for these parallel systems. Automatic data distribution tools and techniques play an important role in achieving that goal. This paper discusses state-of-the-art approaches to fully automatic data and computation partitioning. A kernel application is used as a case study to illustrate the main differences of four representative approaches. The paper concludes with a discussion of promising future research directions for automatic data layout.Peer Reviewe