Experienced Continuity of Care When Patients See Multiple Clinicians: A Qualitative Metasummary
Bibliographic record
Abstract
PURPOSE: Continuity of care among different clinicians refers to consistent and coherent care management and good measures are needed. We conducted a metasummary of qualitative studies of patients' experience with care to identify measurable elements that recur over a variety of contexts and health conditions as the basis for a generic measure of management continuity. METHODS: From an initial list of 514 potential studies (1997-2007), 33 met our criteria of using qualitative methods and exploring patients' experiences of health care from various clinicians over time. They were coded independently. Consensus meetings minimized conceptual overlap between codes. RESULTS: For patients, continuity of care is experienced as security and confidence rather than seamlessness. Coordination and information transfer between professionals are assumed until proven otherwise. Care plans help clinician coordination but are rarely discerned as such by patients. Knowing what to expect and having contingency plans provides security. Information transfer includes information given to the patient, especially to support an active role in giving and receiving information, monitoring, and self-management. Having a single trusted clinician who helps navigate the system and sees the patient as a partner undergirds the experience of continuity between clinicians. CONCLUSION: Some dimensions of continuity, such as coordination and communication among clinicians, are perceived and best assessed indirectly by patients through failures and gaps (discontinuity). Patients experience continuity directly through receiving information, having confidence and security on the care pathway, and having a relationship with a trusted clinician who anchors continuity.
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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 | 0.105 | 0.179 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.014 |
| Bibliometrics | 0.012 | 0.010 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.001 |
| 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".