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Record W1482530318 · doi:10.1186/s13012-015-0289-y

Successful implementation of an enhanced recovery after surgery programme for elective colorectal surgery: a process evaluation of champions’ experiences

2015· article· en· W1482530318 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.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueImplementation Science · 2015
Typearticle
Languageen
FieldMedicine
TopicEnhanced Recovery After Surgery
Canadian institutionsUniversity of TorontoSunnybrook HospitalCancer Care OntarioMount Sinai HospitalSunnybrook Health Science Centre
FundersHamilton Health Sciences
KeywordsMedicineThematic analysisColorectal surgeryImplementation researchAuditProcess managementStakeholderNursingHealth administrationStakeholder engagementQualitative researchMedical educationPublic relationsSurgeryPsychological interventionManagementPublic healthEngineeringAbdominal surgerySociologyPolitical science

Abstract

fetched live from OpenAlex

BACKGROUND: Enhanced recovery after surgery (ERAS) is a multimodal evidence-based approach to patient care that has become the standard in elective colorectal surgery. Implemented globally, ERAS programmes represent a considerable change in practice for many surgical care providers. Our current understanding of specific implementation and sustainability challenges is limited. In January 2013, we began a 2-year ERAS implementation for elective colorectal surgery in 15 academic hospitals in Ontario. The purpose of this study was to understand the process enablers and barriers that influenced the success of ERAS implementation in these centres with a view towards supporting sustainable change. METHODS: A qualitative process evaluation was conducted from June to September 2014. Semi-structured interviews with implementation champions were completed, and an iterative inductive thematic analysis was conducted. Following a data-driven analysis, the Normalization Process Theory (NPT) was used as an analytic framework to understand the impact of various implementation processes. The NPT constructs were used as sensitizing concepts, reviewed against existing data categories for alignment and fit. RESULTS: Fifty-eight participants were included: 15 surgeons, 14 anaesthesiologists, 15 nurses, and 14 project coordinators. A number of process-related implementation enablers were identified: champions' belief in the value of the programme, the fit and cohesion of champions and their teams locally and provincially, a bottom-up approach to stakeholder engagement targeting organizational relationship-building, receptivity and support of division leaders, and the normalization of ERAS as everyday practice. Technical enablers identified included effective integration with existing clinical systems and using audit and feedback to report to hospital stakeholders. There was an overall optimism that ERAS implementation would be sustained, accompanied by concern about long-term organizational support. CONCLUSIONS: Successful ERAS implementation is achieved by a complex series of cognitive and social processes which previously have not been well described. Using the Normalization Process Theory as a framework, this analysis demonstrates the importance of champion coherence, external and internal relationship building, and the strategic management of a project's organization-level visibility as important to ERAS uptake and sustainability.

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)0.008
metaresearch head score (Gemma)0.001
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 score0.702
Threshold uncertainty score0.929

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.002
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 head0.106
GPT teacher head0.462
Teacher spread0.356 · 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