Medical‐surgical nurses’ documentation of client teaching and discharge planning at a Jamaican hospital
Bibliographic record
Abstract
AIM: This study sought to review documentation of client teaching and discharge planning performed on the medical wards of an urban Jamaican hospital. BACKGROUND: Amid a chronic disease epidemic in Jamaica, adequate discharge planning and client education among hospitalized clients are essential to ensure optimal health outcomes and reduced healthcare costs. METHOD: facilitated data analysis. RESULTS: Eighty-eight adult (67.2%) and 43 (32.8%) paediatric records were audited; 89.3% indicated the clients were diagnosed with at least one non-communicable disease. Fourteen percent of records reflected documented evidence of client teaching within the first 72 h of admission. On the day of discharge, only 18.3% reflected client teaching. Nurses seldom began discharge planning within the first 24 h of admission as only 6.9% records had documented evidence. These trends were common to adult and paediatric units. DISCUSSION AND CONCLUSION: The requisite client teaching and discharge planning appeared to be lacking in the records reviewed and may be contributory to deficiencies noted in self-care management. Research is needed to determine factors which could facilitate improved client teaching and discharge planning in the local context. Failure to address this gap in nursing care can significantly affect the country's ability to the reduce the economic burden associated with chronic diseases. IMPLICATIONS FOR NURSING AND HEALTH POLICY: This study highlighted an opportunity for advocacy among nurses and requires nursing leadership to collaboratively develop policies and guidelines to address discharge planning and client education among hospitalized clients. Given the significant health costs associated with non-communicable diseases this should be made a priority in the National Strategic and Action Plan for the Prevention and Control Non-communicable Diseases in Jamaica with clear articulations.
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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 | 0.002 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".