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Record W4410195469 · doi:10.5463/thesis.1087

Haute Culture

2025· dissertation· en· W4410195469 on OpenAlexaff
Romana Fattimah Malik

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldHealth Professions
TopicPatient Safety and Medication Errors
Canadian institutionsAthena Sustainable Materials Institute
Fundersnot available
KeywordsGeography

Abstract

fetched live from OpenAlex

This thesis used a socio-psychological perspective to explore the concept of open culture and how entrenched work patterns influence it. Chapter 1 outlines the current state of organisational culture studies in healthcare and introduces key concepts: organisational culture, patient safety culture, leadership, speaking up, and the healthcare context. The research is guided by five core questions across three parts: Part 1 – What an open culture entails Research question 1: What do we really assess with organisational culture tools in healthcare? Chapter 2 presents a systematic umbrella review of 127 instruments used to assess culture in healthcare. Most tools are quantitative and focus on tangible dimensions such as leadership, communication, and teamwork. However, they often fail to uncover deeper cultural layers—such as trust, psychological safety, power dynamics, and moral values. The chapter concludes that new tools are needed to better identify intangible aspects and diagnose non-open cultures more effectively. Research question 2: What is open culture? What are its elements, and how does it relate to patient safety culture? Chapter 3 describes a modified Delphi study conducted to define the elements of an open culture in hospitals. The resulting framework includes 37 elements—both tangible (e.g. leadership, communication systems, organisational processes) and intangible (e.g. psychological safety, trust, moral values, power). The study shows that open culture extends beyond the scope of patient safety: open culture is a transparent and inclusive organisational environment where employees and leaders adopt an open mindset and attitude. It is defined by transparent structures and processes that engage patients, fostering trust, respect, and appreciation for diverse perspectives, with psychological safety at its core. Leaders serve as supportive role models, maintaining high moral and ethical standards, avoiding abuse of power, blame, or shame, thereby promoting diversity, open communication and continuous training and development. Part 2 – How traditional hierarchies undermine open culture and what leadership is needed Research question 3: Which leadership style is needed in the evolving healthcare landscape? Chapter 4 examines stakeholder perspectives on the “Physicians in the Lead” (PIL) strategy, a leadership model rooted in value-based care. Although PIL aims to improve efficiency, it often reinforces a biomedical focus and excludes psychosocial perspectives. Stakeholders report that PIL limits openness and suggest a “team in the lead” model that includes broader input—from nurses, patients, and others. They also recommend extramural coordination centres to support patients holistically, beyond the hospital walls. Part 3 – Elements for successful implementation of open culture Research question 4: What matters most to stakeholders, including patients, during transitions of care? Chapter 5 uses a mixed-methods approach—interviews and surveys—to explore transitions of care. The findings reveal low satisfaction and confusion during handovers. Key improvements include preparing patients earlier, boosting leadership skills among patients and families, and establishing clear interprofessional roles during transitions. Research question 5: Which cultural elements support interprofessional learning and encourage speaking up? Chapter 6 offers insights from a qualitative study in a Dutch hospital. Six cultural elements were identified that influence interprofessional speak-up behaviour: shared vision, functional hierarchy, strong interpersonal relationships, clarity about when to speak up, open-mindedness, and embedding cultural values in learning contexts. Hierarchy itself was not a barrier—when marked by respect, it could support psychological safety. Transformational and humble leadership were seen as crucial enablers. Final reflections Chapter 7 synthesises the findings, concluding that current culture tools fail to detect hidden dynamics like fear or shame. The thesis advocates for new approaches to identify and shift from non-open to open cultures. Strategies such as shared governance, shared leadership, interprofessional learning, and inclusive decision-making are recommended. The ADKAR model is presented as a practical tool for 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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.060
Threshold uncertainty score0.201

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0070.005
Scholarly communication0.0110.006
Open science0.0010.007
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0600.013

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 head0.065
GPT teacher head0.491
Teacher spread0.426 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2025
Admission routes1
Has abstractyes

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