Primary Care Providers Involvement in Caring for Young Adults with Complex Chronic Conditions Exiting Pediatric Care: An Integrative Literature Review
Bibliographic record
Abstract
The transition to adulthood is a critical time for everyone to build independence, experience new things, and become self-sufficient. With medical advances, individuals with complex chronic conditions are surviving into adulthood. As such they withstand additional challenges during this stage of their life including; facing a discontinuity of care, loss of prior health-care networks and champions, and a shift toward increased responsibility and self-management of their conditions. Often this shift results in the need for primary care providers to act as care managers, coordinating care and supporting the young adult as they navigate adulthood. In exploring the role of primary care providers with this population we reviewed the literature to identify what strategies primary care providers can use to enhance the transition process for young adults ages 15 to 25 years with complex chronic conditions exiting pediatric services. An integrative literature review approach was used to systematically search the contemporary literature. Applying inclusion criteria and quality assessment of relevant research and gray literature we identified 12 studies that warranted detailed review and analysis. Analysis of the studies highlighted four key themes: relationships, fear and anxiety, preparedness, and communication and collaboration. It was evident that health-care transition for young adults with complex chronic conditions was complicated by their psychosocial development and extensive health and service needs. Health-care transition is a team effort influenced by local contexts, resources, and relational practices. Both groups of primary care providers and young adults must be prepared prior to transition if they are to become immersed and engaged in this work. The population of young adults with complex chronic conditions exiting pediatric care will continue to grow as access to care delivery and medical technology continue to expand. While health-care transition for this population is complicated by extensive needs and psychosocial development, primary care providers can act as key supports in employing strategies to enhance the transition process for these young adults.
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 | 0.008 | 0.031 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.016 | 0.014 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".