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Record W2152682080 · doi:10.5430/jha.v3n6p174

The process of implementing a new working method - a project towards change in a Swedish psychiatric clinic

2014· article· en· W2152682080 on OpenAlexvenueno aff
Catrin Alverbratt, Eric Carlström, Sture Åström, Anders Kauffeldt, Johan Berlin

Bibliographic record

VenueJournal of Hospital Administration · 2014
Typearticle
Languageen
FieldHealth Professions
TopicHealth Policy Implementation Science
Canadian institutionsnot available
Fundersnot available
KeywordsWorkloadFocus groupProcess (computing)NursingResistance (ecology)Normalization (sociology)PsychologyQualitative researchMedicineComputer science

Abstract

fetched live from OpenAlex

The implementation of evidence-based methods in hospital settings is difficult and complex. The aim of the present study was to highlight the implementation process concerning a new working method, i.e. a new assessment tool, based on the International Classification of Functioning Disability and Health (ICF), among psychiatric nursing staff on five participating wards at a Swedish county hospital. Descriptive, qualitative data were collected through focus group interviews pre- and post-implementation. Data were analysed using directed content analysis, guided by Normalization Process Theory (NPT). The results revealed that just one of the five participating wards met the criteria for a successful implementation process. The results confirm previous studies showing the difficulty of implementation. Although participants agreed with the intention of the model, they were reluctant to apply it in practice. The implementation process seemed to be influenced by factors such as: time pressure; heavy workload; stress; lack of routines in using the tool; lack of nursing staff; as well as cultural characteristics and resistance to change.

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)0.011
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.158
Threshold uncertainty score0.574

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.394
GPT teacher head0.663
Teacher spread0.269 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations9
Published2014
Admission routes1
Has abstractyes

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