MétaCan
Menu
Back to cohort
Record W4246778583 · doi:10.5334/ijic.3187

Organizational Context and Capabilities for Integrating Care: A Framework for Improvement

2017· article· en· W4246778583 on OpenAlexaffabout
Jenna M. Evans, Agnes Grudniewicz, G. Ross Baker, Walter P. Wodchis

Bibliographic record

VenueInternational Journal of Integrated Care · 2017
Typearticle
Languageen
FieldHealth Professions
TopicInterprofessional Education and Collaboration
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsIntegrated careContext (archaeology)Health careKnowledge managementPsychological interventionConceptual frameworkPsychologyNursingMedicineSociologyComputer sciencePolitical science

Abstract

fetched live from OpenAlex

Introduction: Interventions aimed at integrating care have become widespread in healthcare; however, there is significant variability in their success. Differences in organizational contexts and associated capabilities may be responsible for some of this variability. This study develops and validates a conceptual framework of organizational capabilities for integrating care, identifies which of these capabilities may be most important, and explores the mechanisms by which they influence integrated care efforts.Theory/Methods: The Context and Capabilities for Integrating Care (CCIC) Framework was developed through a literature review, and revised and validated through interviews with leaders and care providers engaged in integrated care networks in Ontario, Canada. Interviews involved open-ended questions and graphic elicitation. Quantitative content analysis was used to summarize the data.Results: The CCIC Framework consists of eighteen organizational factors in three categories: Basic Structures, People and Values, and Key Processes. The three most important capabilities shaping the capacity of organizations to implement integrated care interventions include Leadership Approach, Clinician Engagement and Leadership, and Readiness for Change. The majority of hypothesized relationships among organizational capabilities involved Readiness for Change and Partnering, emphasizing the complexity, interrelatedness and importance of these two factors to integrated care efforts.Discussion: The quantitative content analysis of participant interviews suggests that the social and psychological context for integrating care should not be neglected in research and practice. Five of the nine organizational capabilities deemed most important to integrating care are from the “People and Values” domain of the framework. An understanding of the subjective context, and associated organizational capabilities such as leadership approach, clinician engagement, organizational culture, and readiness for change, may be of equal, if not greater, importance to study as the objective contextual factors such as physical features, resources, and organizational/network design. Organizational leaders can use the framework to determine readiness to integrate care, develop targeted change management strategies, and select appropriate partners with overlapping or complementary profiles on key capabilities.Conclusions: We developed a consolidated research- and practice-informed framework to guide the implementation of integrated care interventions and to help focus measurement of organizational context and capabilities. We also prioritized the most important organizational capabilities and explored their inter-relationships via interviews with key informants.Lessons Learned: Participants’ views and experiences did not always align with the initial framework’s structure and wording. Based on the results, we made modifications to terminology. Participants also identified complex, often non-linear relationships among capabilities that require additional study in future research.Limitations: The validation results presented are based on a sample of 29 participants in one Canadian province. Although participants came from diverse organizations and differed in approaches to integrating care, the limited scope of the sample indicates that the results may not be widely generalizable.Suggestions for Future Research: Additional research is needed to empirically test the proposed framework, with a focus on the hypothesized relationships. Research needs to move beyond general statements about variations in the performance of integrated care interventions being due, for example, to “culture” or “leadership”, to more specific assessments of these capabilities.

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)0.000
metaresearch head score (Gemma)0.006
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 score0.763
Threshold uncertainty score0.802

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
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 head0.022
GPT teacher head0.422
Teacher spread0.400 · 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".

Quick stats

Citations6
Published2017
Admission routes2
Has abstractyes

Explore more

Same venueInternational Journal of Integrated CareSame topicInterprofessional Education and CollaborationFrench-language works237,207