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Record W3165813258 · doi:10.1017/s1478951521000614

Description of a training protocol to improve research reproducibility for dignity therapy: an interview-based intervention

2021· article· en· W3165813258 on OpenAlex

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.

Bibliographic record

VenuePalliative & Supportive Care · 2021
Typearticle
Languageen
FieldMedicine
TopicPatient Dignity and Privacy
Canadian institutionsCancerCare Manitoba
FundersNational Cancer Institute
KeywordsConsistency (knowledge bases)Protocol (science)DignityMedical educationPsychologyIntervention (counseling)MedicineComputer scienceNursingAlternative medicineArtificial intelligence

Abstract

fetched live from OpenAlex

BACKGROUND: Dignity Therapy (DT) has been implemented over the past 20 years, but a detailed training protocol is not available to facilitate consistency of its implementation. Consistent training positively impacts intervention reproducibility. OBJECTIVE: The objective of this article is to describe a detailed method for DT therapist training. METHOD: Chochinov's DT training seminars included preparatory reading of the DT textbook, in-person training, and practice interview sessions. Building on this training plan, we added feedback on practice and actual interview sessions, a tracking form to guide the process, a written training manual with an annotated model DT transcript, and quarterly support sessions. Using this training method, 18 DT therapists were trained across 6 sites. RESULTS: The DT experts' verbal and written feedback on the practice and actual sessions encouraged the trainees to provide additional attention to eight components: (1) initial framing (i.e., clarifying and organizing of the patient's own goals for creating the legacy document), (2) verifying the patient's understanding of DT, (3) gathering the patient's biographical information, (4) using probing questions, (5) exploring the patient's story thread, (6) refocusing toward the legacy document creation, (7) inviting the patient's expression of meaningful messages, and (8) general DT processes. Evident from the ongoing individual trainee mentoring was achievement and maintenance of adherence to the DT protocol. DISCUSSION: The DT training protocol is a process to enable consistency in the training process, across waves of trainees, toward the goal of maintaining DT implementation consistency. This training protocol will enable future DT researchers and clinicians to consistently train therapists across various disciplines and locales. Furthermore, we anticipate that this training protocol could be generalizable as a roadmap for implementers of other life review and palliative care interview-based interventions.

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)0.003
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.409
Threshold uncertainty score0.725

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.006
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 head0.507
GPT teacher head0.514
Teacher spread0.007 · 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