Value Co-Creation through Patient Engagement in Health Care: A Bibliometric Analysis
Bibliographic record
Abstract
This bibliometric study aims to provide an updated analysis of the global research conducted on value co-creation in healthcare.The methodology involved a comprehensive search of the Dimensions and PubMed databases to retrieve peer-reviewed publications up to March 2024.The search terms used were related to value co-creation, patient engagement, shared decision-making, and other relevant topics.A total of 1,588 relevant publications were identified and analysed.Service-dominant logic was used as the theoretical framework to examine value co-creation.The results show a significant rise in scholarly output since 2010, indicating growing research interest in value co-creation.After analysing the results, several countries stand out as the most active, including the United States, United Kingdom, Canada, and Australia.Hence, universities like the university of Toronto are weighed very high in terms of productivity.Journals like the Journal of Service Research and Journal of Medical Internet Research feature prominently.Authors like Janet R. McColl-Kennedy receive high citations
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 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 | 0.007 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.043 | 0.095 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 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; both teacher heads agree on what is shown here.
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".