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Record W1577336414 · doi:10.24382/4016

End-of-life discussions in nonmalignant respiratory disease in the United Kingdom and Canada

2014· dissertation· en· W1577336414 on OpenAlexaboutno aff
Nicole Stephen

Bibliographic record

VenuePEARL (University of Plymouth) · 2014
Typedissertation
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsnot available
FundersBritish Lung Foundation
KeywordsKingdomMedicineRespiratory systemFamily medicineGerontologyInternal medicineBiology

Abstract

fetched live from OpenAlex

Nonmalignant respiratory diseases (NMRD), such as Chronic Obstructive Pulmonary Disease (COPD), are a leading cause of morbidity worldwide. Research has shown that patients with NMRD in the UK, Canada and the US have less access to palliative care services than patients with other respiratory diseases such as lung cancer. Discussing preferences for end-of-life care in NMRD can be difficult for patients, carers and health professionals, however it is essential to ensure that the patient’s wishes are met, particularly when resources are scarce. Despite similar nationalised health care systems in the UK and Canada, a recent report by the Economist Intelligence Unit ranked overall quality of end-of- life care in the UK first out of forty, while Canada was ranked ninth out of forty. Therefore, it was deemed useful to investigate how end-of-life for people with NMRD is discussed between health professionals and patients in the UK and Canada and to develop an instrument allowing health professionals to determine constraints and opportunities for facilitating such discussions in each country as comparing care between countries is helpful to determine the best solutions for individuals and families with complex needs. This study was guided by the Medical Research Council guidelines for developing and implementing complex interventions, and the research process followed the requirements for the development phase of these guidelines. First, two systematic reviews were carried out to establish the evidence base regarding of end-of-life discussions. The first focused on how end-of-life is discussed in NMRD, while the second focused exclusively on end-of-life discussions in a single NMRD (COPD) in the UK and Canada only. The findings of the systematic reviews pointed toward the need for further training of health professionals to iii discuss end-of-life with this patient group, as well as the lack indicators that this patient group is ready or willing to discuss end-of-life. Then, a Delphi study was conducted with specialist respiratory nurses in the UK to determine expert opinion on how health professionals know a patient with NMRD is ready to discuss end-of-life, and to establish the key considerations and topics in such discussions. This study was replicated in Canada with health professionals working with patients with NMRD. Each Delphi study resulted in a country specific tool to assist less experienced health professionals discuss end-of-life with this patient group. Finally, the findings of these Delphi studies were compared to determine what health professionals in each country could learn from each other, as well as specific considerations in each country, and areas for future research. The findings from the comparison process demonstrated that the emotional intelligence of health professionals, the patient education context and the recognition of cultural issues were all important factors when approaching end-of-life discussions. Findings from each phase of the intervention development process resulted in a theoretical model of how end-of-life is discussed in the UK and Canada. This model identifies constraints and opportunities for such discussions from a systems level perspective including: end-of-life policies, prognosis in non-malignant respiratory disease, time, clinical indicators, initiation responsibility, the educational role of health professionals, emotional intelligence, cultural competence and readiness versus willingness to discuss end-of-life. Recommendations are made from the findings of this study for research, clinical practice, education and policy. A detailed plan for the next stage of the development of the intervention is included.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.123
Threshold uncertainty score0.509

Codex and Gemma teacher scores by category

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

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 head0.077
GPT teacher head0.324
Teacher spread0.247 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations0
Published2014
Admission routes1
Has abstractyes

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