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Record W3014397363 · doi:10.2147/jhl.s240488

<p>Evaluating the Implementation of Ontario’s Organ and Tissue Donation Physician Leadership Model: Mapping a Way Forward</p>

2020· article· en· W3014397363 on OpenAlex
Aimee Sarti, Stephanie Sutherland, Angèle Landriault, Sonny Dhanani, Andrew Healey, Pierre Cardinal

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.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Healthcare Leadership · 2020
Typearticle
Languageen
FieldMedicine
TopicOrgan Donation and Transplantation
Canadian institutionsMcMaster UniversityUniversity of OttawaChildren's Hospital of Eastern OntarioRoyal College of Physicians and Surgeons of CanadaOttawa Hospital
FundersRoyal College of Physicians and Surgeons of Canada
KeywordsDonationOfficerOrgan donationSocial network analysisProcess (computing)Opinion leadershipMedical educationMedicineTransplantationPublic relationsPsychologyFamily medicinePolitical scienceSocial capitalComputer scienceInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: The demand for solid organ transplantation has spurred countries around the world to search for innovative policies and practices to increase the supply of organs. Spain has become a global reference point for organ donation with the highest transplantation rates. In Ontario, Canada the Ontario Trillium Gift of Life (TGLN) has sought to replicate some of the successes in Spain. In particular, TGLN's implementation of the Physician Leadership Model has been viewed as a promising strategy to improve donation conversion rates. OBJECTIVE: The objective of this study was to evaluate the implementation of TGLNs (TGLN) Physician Leadership Model by examining critical implementation process variables (education/training, communication, satisfaction, participation and reach). METHODS: This mixed-method implementation evaluation included data from all members of the Physician Leadership Model including the Chief Medical Officer, five Regional Medical Leads (RMLs), and the 52 Hospital Donation Physicians (HDPs). Social Network Analysis (SNA) surveys were sent to all 52 HDPs and yielded an 85% rate. Analysis included constructing sociograms and qualitatively analyzing interviews. RESULTS: TGLN's PLM was poised for success by utilizing the existing RMLs' network as a foundation. The social network analysis measures, particularly participation and reach, indicated the PLM was quite dense (ie, the degree to which members are connected) at baseline. HDPs reported communication to be facilitated by their connections to their RMLs. Early evaluative data indicated that lack of education and training was viewed by HDPs as a barrier, and thus more capacity would need to be directed to this issue. Overall, HDPs reported that various intended outcomes were being met. CONCLUSION: We have demonstrated that an implementation evaluation helps us to understand which elements of the PLM were successful and which elements required immediate attention. This evaluation helped to highlight the successes and challenges in implementing the TGLN Physician Leadership Model in Ontario. Social network analysis of publicly funded capacity building systems has been identified as a promising area for health program evaluation to answer questions at a system level, such as identifying service provisions among information exchange networks and ultimately better health care.

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)0.001
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 score0.531
Threshold uncertainty score0.596

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.194
GPT teacher head0.371
Teacher spread0.177 · 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