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Record W2810031306 · doi:10.1097/txd.0000000000000805

Barriers and Enablers to Organ Donation After Circulatory Determination of Death: A Qualitative Study Exploring the Beliefs of Frontline Intensive Care Unit Professionals and Organ Donor Coordinators

2018· article· en· W2810031306 on OpenAlex
Janet E. Squires, Nicole Graham, Mary Coughlin, Michaël Chassé, Stefanie Linklater, Megan Greenough, Jeremy Grimshaw, Sam D. Shemie, Sonny Dhanani, Greg Knoll

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueTransplantation Direct · 2018
Typearticle
Languageen
FieldMedicine
TopicOrgan Donation and Transplantation
Canadian institutionsCanadian Blood ServicesMcGill University Health CentreOttawa HospitalMontreal Children's HospitalUniversité de MontréalChildren's Hospital of Eastern OntarioMcGill UniversityCentre Hospitalier de l’Université de MontréalUniversity of Ottawa
Fundersnot available
KeywordsOrgan donationMedicineIntensive care unitDonationQualitative researchNursingPsychological interventionIntensive careEconomic shortageContent analysisEnablingTransplantationIntensive care medicine

Abstract

fetched live from OpenAlex

BACKGROUND: A shortage of transplantable organs is a global problem. The purpose of this study was to explore frontline intensive care unit professionals' and organ donor coordinators' perceptions and beliefs around the process of, and the barriers and enablers to, donation after circulatory determination death (DCDD). METHODS: This qualitative descriptive study used a semistructured interview guide informed by the Theoretical Domains Framework to interview 55 key informants (physicians, nurses, and organ donation coordinators) in intensive care units (hospitals) and organ donation organizations across Canada. RESULTS: Interviews were analyzed using a 6-step systematic approach: coding, generation of specific beliefs, identification of themes, aggregation of themes into categories, assignment of barrier or enabler and analysis for shared and unique discipline barriers and enablers. Seven broad categories encompassing 29 themes of barriers (n = 21) and enablers (n = 4) to DCDD use were identified; n = 4 (14%) themes were conflicting, acting as barriers and enablers. Most themes (n = 26) were shared across the 3 key informant groups while n = 3 themes were unique to physicians. The top 3 shared barriers were: (1) DCDD education is needed for healthcare professionals, (2) a standardized and systematic screening process to identify potential DCDD donors is needed, and (3) practice variation across regions with respect to communication about DCDD with families. A limited number of differences were found by region. CONCLUSIONS: Multiple barriers and enablers to DCDD use were identified. These beliefs identify potential individual, team, organization, and system targets for behavior change interventions to increase DCDD rates which, in turn, should lead to more transplantation, reducing patient morbidity and mortality at a population level.

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.

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.614
Threshold uncertainty score0.534

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 head0.040
GPT teacher head0.335
Teacher spread0.295 · 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