The Influence of Organizational Systems on Information Exchange in Long-Term Care Facilities
Bibliographic record
Abstract
Person-centered care is heavily dependent on effective information exchange among health care team members. We explored the organizational systems that influence resident care attendants' (RCAs) access to care information in long-term care (LTC) settings. We conducted an institutional ethnography in three LTC facilities. Investigative methods included naturalistic observations, in-depth interviews, and textual analysis. Practical access to texts containing individualized care-related information (e.g., care plans) was dependent on job classification. Regulated health care professionals accessed these texts daily. RCAs lacked practical access to these texts and primarily received and shared information orally. Microsystems of care, based on information exchange formats, emerged. Organizational systems mandated written exchange of information and did not formally support an oral exchange. Thus, oral information exchanges were largely dependent on the quality of workplace relationships. Formal systems are needed to support structured oral information exchange within and between the microsystems of care found in LTC.
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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 | 0.019 | 0.053 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.009 | 0.010 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".