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Record W2761982449 · doi:10.5430/jha.v6n5p31

Changing the ward culture in a clinic during the implementation of person-centred care

2017· article· en· W2761982449 on OpenAlexvenueno aff
Axel Wolf, Kerstin Ulin

Bibliographic record

VenueJournal of Hospital Administration · 2017
Typearticle
Languageen
FieldDecision Sciences
TopicComplex Systems and Decision Making
Canadian institutionsnot available
FundersGöteborgs UniversitetCentrum fÖr Personcentrerad VårdVetenskapsrådet
KeywordsOrganizational cultureCulture changeNursingHealth careFlexibility (engineering)Intervention (counseling)Organizational changeSustainabilityPsychologyMedicineSociologyPublic relationsManagementPolitical scienceSocial science

Abstract

fetched live from OpenAlex

Objective: The purpose of this study was to explore the impact of an intervention on the organizational culture in five hospital wards in Sweden. The organizational culture was measured at the start of the project and compared with data collected five years later. The intervention was aimed at changing activities towards a new evidenced-based care model called the Gothenburg Person-centred Care model (PCC).Methods: In total, 230 registered nurses and assistant nurses participated in this cross-sectional health-care culture survey during 2009 and 2014. The Organizational Values Questionnaire was used.Results: The results indicated cultural change in all five wards at the clinic. A dominating culture of flexibility decreased and a culture of routines and structure increased. The wards moved towards a higher degree of cultural uniformity. The combination of cultural dimensions also seems to have become more equal during the study period.Conclusions: Few studies have focussed on the development of organizational culture in health-care contexts over time. The results suggest that the implementation of a new model of care has an impact on organizational culture. This implies that health-care managers should have confidence in the outcomes from change projects. It seems that systems of dual logic can develop over time to facilitate change and sustainability. However, if a new working model is to change the culture profoundly, it requires years of zealous implementation.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.128
Threshold uncertainty score0.514

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
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 head0.098
GPT teacher head0.422
Teacher spread0.324 · 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

Citations6
Published2017
Admission routes1
Has abstractyes

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