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Record W2735590749 · doi:10.5334/ijic.3193

Effective Organizational Leadership in the Implementation of Integrated Care; Lessons from 9 cases in the iCoach Project

2017· article· en· W2735590749 on OpenAlexaffabout
G. Ross Baker, Jay Shaw, Jennifer Gutberg, Timothy Kenealy, Peter Carswell, Mylaine Breton, Louise Belzile, Jean‐Louis Denis, Walter P. Wodchis

Bibliographic record

VenueInternational Journal of Integrated Care · 2017
Typearticle
Languageen
FieldHealth Professions
TopicInterprofessional Education and Collaboration
Canadian institutionsÉcole Nationale d'Administration PubliqueUniversité de SherbrookeWomen's College HospitalUniversity of Toronto
Fundersnot available
KeywordsIntegrated carePublic relationsGovernment (linguistics)Health careBusinessLeadership studiesOrganizational structureEntrepreneurshipKnowledge managementLeadership stylePolitical scienceManagementEconomics

Abstract

fetched live from OpenAlex

Introduction: Policy makers in many countries are encouraging the development of integrated care strategies and the development of new models of integrated care. These new models require changes at a clinical or service level, organizational level and system level with strong leadership necessary at all three levels. Despite the key role of leadership in these efforts, there has been only limited study of what organizational leadership approach is successful in different contexts for integrated care.Theory/Methods: This paper analyses the organizational leadership behaviors and strategies in the iCOACH project (Integrated Care for Older Adults with Complex Health Needs) for 9 integrated care projects in 3 jurisdictions: New Zealand, and the Canadian provinces of Ontario and Quebec. Data are derived from interviews with leaders, policy makers and providers in these cases. We draw on institutional logics and institutional entrepreneurship theories to explore how leaders engaged external stakeholders and developed strategies to optimize the effectiveness of integrated care within and between their organizations in these different contexts.Results: There are concerted efforts to develop integrated care models of community based primary health care in all three jurisdictions. However, the policy environments vary in the latitude and resources provided to organizational leaders to develop organizational forms and networks. In Ontario and New Zealand there have been considerable variations in the nature of integrated care organizations and networks, while in Quebec the government has mandated new organizational forms and specified their relationships with other providers. Preliminary analysis of our data suggests that institutional entrepreneurship takes different forms in response to these environments, and other policy issues, such as the development of health care resources for Maori have also influenced the support and direction of integrated care. There is also variation in the entrepreneurial styles within and across these organizations, balancing the need for external stakeholder management and developing local capability for more integrated care based on the vision for the organization.Discussion: Leadership is a critical resource in the development of new organizational forms and in carrying out the negotiations needed to garner the resources and legitimacy necessary for effective organizations. However, leadership strategies can vary in different contexts, and the types of institutional entrepreneurship necessary for building these organizations varies as well.Conclusions: Understanding successful leadership strategies and entrepreneurial behaviors in different contexts helps to illuminate the similarities and differences across different policy and organizational environments.Lessons learned: While leadership is essential for integrated care, there is no single model that has been successful across the contexts we have studied.Limitations: The analysis of the data described here is still underway. Our data is derived from cases in three jurisdictions and these are likely not fully representative of the range of policy and organizational environments.Suggestions for future research: Further research on the leadership strategies that are successful in different environments is needed to confirm and extend the analysis from the 9 cases we have studied.

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.448
Threshold uncertainty score0.989

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 communication0.0000.000
Open science0.0010.000
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 head0.103
GPT teacher head0.496
Teacher spread0.393 · 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 designQualitative
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".

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Citations2
Published2017
Admission routes2
Has abstractyes

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