Understanding Barriers to and Facilitators of Case Management in Primary Care: A Systematic Review and Thematic Synthesis
Bibliographic record
Abstract
PURPOSE: Despite evidence on the benefits of case management for the care of patients with complex needs in primary care, implementing the program-necessary to achieve its benefits-has been challenging worldwide. Evidence on factors affecting implementation remains disparate. Accordingly, the objective of this systematic review was to identify barriers to and facilitators of case management, from the perspectives of health care professionals, in primary care settings around the world. METHODS: We conducted a systematic review and thematic synthesis of qualitative findings. In collaboration with 2 librarians, we searched 3 electronic databases (MEDLINE, CINAHL, EMBASE) for studies related to factors affecting case management function in primary care. Two researchers screened titles, abstracts, and full texts for inclusion, then assessed included studies for quality. Results from included studies were synthesized by thematic synthesis, and a framework was developed. RESULTS: Of 1,640 unique records identified, 22 studies, originating from 6 countries, met the inclusion criteria. We identified 9 barriers and facilitators: family context; policy and available resources; physician buy-in and understanding of the case manager role; relationship building; team communication practices; autonomy of case managers; training in technology; relationships with patients; and time pressure and workload. We describe these factors, then present a framework demonstrating the relationships among them. CONCLUSIONS: Our study's findings show that multiple factors influence case management implementation. These findings have implications for researchers, clinicians, and policy makers who strive to implement or reform case management programs in local or larger primary care settings.
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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.006 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".