The Evolution of Integrated Healthcare Strategies
Bibliographic record
Abstract
This paper reviews and synthesizes over twenty-five years of international research to examine the evolution of integrated healthcare strategies as described in the academic literature. An electronic search of the health sciences literature was conducted using PubMed and EMBASE. A total of 106 articles were identified for inclusion and thematically analyzed using a conceptual framework of strategic content for systems-level integration. Six major, inter-related shifts in the conceptualization and practice of health systems integration were identified: (1) from a focus on horizontal integration to an emphasis on vertical integration; (2) from acute care and institution-centered models of integration to a broader focus on community-based health and social services; (3) from economic arguments for integration to an emphasis on improving quality of care and creating value; (4) from evaluations of integration using an organizational perspective to an emerging interest in patient-centered measures; (5) from a focus on modifying organizational and environmental structures to an emphasis on changing ways of working and influencing underlying cultural attitudes and norms; and (6) from integration for all patients within defined regions to a strategic focus on integrating care for specific populations. Environmental changes, a growing focus on patient-centered care, and emerging evidence of the impact of integration may explain the variation over time in integration objectives, desired scope, and implementation and evaluation methods. The identified shifts provide a descriptive framework against which to assess, compare, and track integration strategies; they also provide a framework for assessing new literature on integrated healthcare.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.020 | 0.033 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.015 | 0.015 |
| Science and technology studies | 0.002 | 0.006 |
| Scholarly communication | 0.014 | 0.013 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".