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Record W3147551498 · doi:10.1017/s1478951521000146

Professional experiences of formal healthcare providers in the provision of medical assistance in dying (MAiD): A scoping review

2021· review· en· W3147551498 on OpenAlexaff
Valerie Ward, Shannon Freeman, Taylor Callander, Beibei Xiong

Bibliographic record

VenuePalliative & Supportive Care · 2021
Typereview
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsUniversity of Northern British Columbia
Fundersnot available
KeywordsInclusion (mineral)NursingHealth careVariety (cybernetics)PsychologyMedicineSocial psychologyPolitical science

Abstract

fetched live from OpenAlex

OBJECTIVE: This scoping review describes the existing literature which examines the breadth of healthcare providers' (HCP's) experiences with the provision of medical assistance in dying (MAiD). METHOD: This study employed a scoping review methodology: (1) identify research articles, (2) identify relevant studies, (3) select studies based on inclusion/exclusion criteria, (4) chart the data, and (5) summarize the results. RESULTS: = 12). This scoping review found that HCPs experienced a variety of emotional responses to providing or providing support to MAiD. Some HCPs experienced positive emotions through helping patients at the end of the patient's life. Still other HCPs experienced very intense and negative emotions such as immense internal moral conflict. HCPs from various professions were involved in various aspects of MAiD provision such as responding to initial requests for MAiD, supporting patients and families, nursing support during MAiD, and the administration of medications to end of life. SIGNIFICANCE OF RESULTS: This review consolidates many of the experiences of HCPs in relation to the provision of MAiD. Specifically, this review elucidates many of the emotions that HCPs experience through participation in MAiD. In addition to describing the emotional experiences, this review highlights some of the roles that HCPs participate in with relation to MAiD. Finally, this review accentuates the importance of team supports and self-care for all team members in the provision of MAiD regardless of their degree of involvement.

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)0.002
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.176
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.234
GPT teacher head0.550
Teacher spread0.316 · 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.

Study designSystematic review
Domainnot available
GenreReview

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
Published2021
Admission routes1
Has abstractyes

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