Mapping for Conceptual Clarity: Exploring Implementation of Integrated Community-Based Primary Health Care from a Whole Systems Perspective
Bibliographic record
Abstract
INTRODUCTION: Studying implementation of integrated models of community-based primary health care requires a "whole systems" multidisciplinary approach to capture micro, meso and macro factors. However, there is, as yet, no clear operationalization of a "whole systems" approach to guide multidisciplinary research programs. Theoretical frameworks and approaches from diverse academic traditions specify different aspects of the health system in more depth. Enabling analysis across the system, when data and ideas are captured using different taxonomies, requires that we map terms and constructs across the models. THEORY AND METHODS: This paper uses concept mapping techniques to compare and contrast the theoretical frameworks and approaches used in the iCOACH project including: Ham's Ten Characteristics of the High-Performing Chronic Care System (capturing patient/carer and provider perspectives), the Organizational Context and Capabilities for Integrating Care framework (capturing the organizational perspective), and the Health Policy Monitor framework (capturing the policy system perspective). The aim of the paper is to link concepts across different theoretical framework to guide the iCOACH study. RESULTS: A concept map was developed that identifies 8 overarching concepts across the heuristic models. A preliminary analysis of one of these overarching concepts, care coordination, demonstrates how different perspectives will assign different meanings, values, and drivers of seemingly similar ideas. For patients and carers care coordination is about having a responsive team of health care providers. Building relationships in teams that exist within and across different organizations is essential for providers to achieve care coordination, where managers and policy makers see care coordination as being more about creating linkages and addressing systems gaps. DISCUSSION AND CONCLUSION: This work represents a first step towards development of a fully formed conceptual framework that includes key domains, concepts, and mechanisms of implementing integrated community-based primary health care.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".