MétaCan
Menu
Back to cohort
Record W2528586157 · doi:10.2215/cjn.06800616

Supportive Care: Meeting the Needs of Patients with Advanced Chronic Kidney Disease

2016· article· en· W2528586157 on OpenAlexafffund
Sara N. Davison, Alvin H. Moss

Bibliographic record

VenueClinical Journal of the American Society of Nephrology · 2016
Typearticle
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsUniversity of Alberta
FundersCanadian Institutes of Health ResearchAlberta Innovates
KeywordsMedicineReferralQuality of life (healthcare)Intensive care medicineKidney diseaseDialysisLife expectancyAdvance care planningSupportive psychotherapyNephrologyPalliative careNursingInternal medicinePopulation

Abstract

fetched live from OpenAlex

Introduction Over the last several decades, despite advances in predialysis care and dialysis technology, people with advanced CKD continue to have a high symptom burden, shortened life expectancy, and substantial physical, emotional, and spiritual suffering (1). Unfortunately, most nephrologists are not trained to address this multifactorial suffering (2), and consequently, many patients on dialysis experience significant unmet supportive care needs (3–5). Kidney supportive care is aimed directly at relieving this suffering, and training in primary supportive care for clinicians treating patients with CKD is an urgent priority (6). The first article in this Moving Points in Nephrology feature provides a framework for understanding what kidney supportive care is and how it integrates patient-centered care into standard nephrological care (7). Supportive care is patient centered, because it identifies what matters most to patients, and it is respectful of patients by providing treatments that align with their values and preferences (1). Supportive care includes symptom assessment and management, patient-specific estimates of prognosis, shared decision making for informed consent, advance care planning, and referral to hospice as appropriate (7,8). Supportive care aims at improving the quality of life (QOL) of any patient with a life-limiting illness, such as CKD, throughout the continuum of illness. Kidney supportive care, therefore, is not restricted to withholding dialysis (i.e., comprehensive conservative care of patients with advanced CKD) or withdrawal of dialysis. Kidney supportive care is about doing things differently to provide the best care possible, which includes enhancing QOL through meticulous symptom management and ensuring that patients’ values guide clinical decisions after those values have been learned in the process of shared decision making (1). Supportive care can be provided together with therapies intended to prolong life, such as dialysis. Because it is still a commonly held view by both patients and health care providers that palliative care and terminal care are synonymous (9–11), the term kidney supportive care is replacing the term kidney palliative care (8). The concepts, however, remain consistent with the World Health Organization definition of palliative care (12). As a nephrology community, we need to educate patients and care providers on the appropriate role of kidney supportive care. Recognizing that there are no clinical standards to inform how supportive care can best be delivered to people with CKD, Kidney Disease Improving Global Outcomes in partnership with the International Society of Nephrology held the first consensus forum on kidney supportive care in December of 2013. The overall aim was to focus the nephrology community on issues related to the international application of palliative medicine to patients with CKD with the ultimate goal of working toward global guidelines for the implementation of kidney supportive care. This resulted in a roadmap to help improve the QOL and standard of care for all patients worldwide with advanced CKD (8). Since this conference, there has been a substantial shift in the clinical and research priorities of many involved with the care of people with CKD (13,14), resulting in increased knowledge translation and policy changes internationally (15). It has also been a time of great reflection. Both of these points are highlighted by the articles in this Moving Points in Nephrology feature that discusses several of the main aspects of kidney supportive care, such as appropriate prognostication (16), aligning treatment with a patient’s goals through culturally sensitive shared decision making and advance care planning (17), patient-centered and palliative dialysis (7), symptom control (7), and comprehensive conservative (nondialysis) care of patients with advanced CKD (18). They not only illustrate the advancements in the field but also highlight key knowledge gaps and future directions for research. As researchers develop strategies to optimize the integration of kidney supportive care into standard nephrological care, Morton et al. (19) emphasize the importance of evaluating the effect on outcomes most important to patients and caregivers, such as QOL, symptom management, physical and cognitive function, the ability to live independently, and survival, in addition to health care services utilization and costs. They note that kidney supportive care has the potential to reduce the high costs associated with unwanted hospitalization and intensive medical treatments (19). In many ways, the field of kidney supportive care is leading the way for the integration of supportive care principles into the treatment of patients with other chronic nonmalignant diseases. Even in developing countries, people are increasingly dying with chronic nonmalignant disease, often after a prolonged period of vulnerability and suffering. Although a shift to a more patient–centered approach to both clinical care and research is absolutely critical for maximizing the QOL of patients with CKD, there remain key knowledge gaps. A lack of data should not be used to justify inaction when it is clear that the burden of patients with CKD is substantial and that the status quo is unacceptable. However, there is an urgent need to expand the research agenda to provide evidence to improve health outcomes for these patients. International collaboration will aid in advancing effective and efficient models of integrated kidney supportive care by contextualizing multiple health system characteristics and identifying best practices and models for supportive care that will have the greatest applicability and relevance globally. It will better enable us to discover which interventions are applicable regardless of the configuration of local health services and which are responsive to local health care systems. International collaboration also enables a better understanding of different cultures and religions at the end of life. Many supportive care interventions to improve outcomes for patients with advanced CKD may be shared across countries, even if the configuration and coordination of these services into integrated models of care will vary according to local health care provision. As we move forward, we need to understand what contributes to the suffering of our patients with CKD so that we can respond appropriately to it. This will require substantial patient engagement from setting clinical and research agendas to working collaboratively on the solutions. Clinical innovations, evaluation strategies, and quality metrics will all need to reflect the needs of our patients. We need to listen to our patients and allow them to teach us, so that we can partner with them in their care and treat them the way they want to be treated. In this manner, supportive care will add to standard nephrological treatment in a patient-centered approach that is the key element of the new system to improve health care quality in the 21st century (20). Disclosures None.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.006
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.001
Scholarly communication0.0030.003
Open science0.0010.005
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0060.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.045
GPT teacher head0.397
Teacher spread0.351 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations32
Published2016
Admission routes2
Has abstractyes

Explore more

Same venueClinical Journal of the American Society of NephrologySame topicPalliative Care and End-of-Life IssuesFrench-language works237,207