961 resultados para Advance Care Planning


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Care Planning in Children and Young People's Nursing addresses a selection of the most common concerns that arise when planning care for infants, children and young people within the hospital and community setting. Clear and detailed, this text reflects both the uniqueness and diversity of contemporary children's nursing and utilizes images and case studies to provide a holistic insight into the practice of care planning through the reporting of best available evidence and current research, policy and education.

Divided into sections for ease of reference, Care Planning in Children and Young People’s Nursing explores both the theory and practice of care planning. Chapters on the principles of care planning include issues such as managing risk, safeguarding children, ethical and legal implications, integrated care pathways, interprofessional assessment, and invaluable parent perspectives. Additional chapters on the application of planning care examine the practical aspects of a wide range of specific conditions including cystic fibrosis, obesity, cardiac/renal failure and HIV/AIDS. Each chapter is interactive, with questions, learning activities and points for discussion creating an engaging and enquiry-based learning approach.

Care Planning in Children and Young People’s Nursing is a definitive resource, reflecting innovative practice which is suitable for undergraduate and postgraduate nurse education.

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Due to earlier diagnosis and more effective treatment, increasing numbers of people can be expected to live with and beyond cancer. Yet for many, survival might be characterised by physical and psychological morbidity, decreased functional status and disability, which may increase as the length of time from the completion of treatment extends. However, careful integrated assessment and relevant and acceptable care planning can mitigate these effects; people can be helped and supported in self-management and ultimately enabled to live full and productive lives in a manner that is acceptable to them.

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Care Plan On-Line (CPOL) is an intranet based system that supports a “Coordinated Care” model for chronic/complex disease management. CPOL combines provision of solicited and unsolicited advice features based on integration of the electronic medical record (EMR) with its decision support logic. The objective is to support General Practitioners (GPs) in formulating a 12-month care plan of services such that: (a) the plan is proactive and patient-centered; (b) the GP is kept in awareness of project- and diseasespecific clinical practice guidelines; and (c) the support integrates with GP workflow in a natural fashion. A key feature of our approach is to blur the distinction of EMR and decision support by presenting guidelines in layers with the top-most being a problem-oriented presentation of patient status, progressing on through to patient-independent supporting evidence. In conjunction with a degree of automated inclusion of care planning services, the system demonstrates mixed user and software initiative. We describe the CPOL deployment setting, the challenges of guideline-based clinical decision support, our approach to guideline delivery, and the CPOL architecture.

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Objectives: To assess the value of computerised decision support in the management of chronic respiratory disease by comparing agreement between three respiratory specialists, general practitioners (care coordinators), and decision support software.
Methods: Care guidelines for two chronic obstructive pulmonary disease projects of the SA HealthPlus Coordinated Care Trial were formulated. Decision support software, Care Plan On-Line (CPOL), was created to represent the intent of these guidelines via automated attention flags to appear in patients' electronic medical records. For a random sample of 20 patients with care plans, decisions about the use of nine additional services (eg,.smoking cessation, pneumococcal vaccination) were compared between the respiratory specialists, the patients' GPs and the CPOL attention flags.
Results: Agreement among the specialists was at the lower end of moderate (intraclass correlation coefficient [ICC], 0.48; 95% CI, 0.39-0.56), with a 20% rate of contradictory decisions. Agreement with recommendations of specialists was moderate to poor for GPs (le, 0.49; 95% CI, 0.33-0.66) and moderate to good for CPOL (K, 0.72; 95% CI, 0.55-0.90). CPOL agreement with GPs was moderate to poor (le, 0.41; 95% CI, 0.24-0.58). GPs were less likely than specialists or CPOL to decide in favour of an additional service (P< 0.001). CPOL was 87% accurate as an indicator of specialist decisions. It gave a 16% false-positive rate according to specialist decisions, and flagged 61% of decisions where GPs said No and specialists said Yes.
Conclusions: Automated decision support may provide GPs with improved access to the intent of guidelines; however, further investigation is required.