Hospital in the home nurses’ assessment decision making: an integrative review of the literature
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
AIM: To describe what is currently known about nurses' assessment decisions when providing care to patients at home or in their usual place of residence. METHODS: In August 2018, an integrative literature review using a systematic approach was conducted using specific search terms to search Informit, MEDLINE and Cumulative Index of Nursing and Allied Health Literature (CINAHL). The literature search was not limited by date, and included published papers or unpublished dissertations written between 1980 and 2018. RESULTS: In total 25 full papers were assessed for inclusion in this review; seven met the inclusion criteria. Three themes were identified from this review: i) nurse education and experience; ii) assessment informing decision-making and iii) knowing the patient. CONCLUSION: Nurses' education, experience, abilities, prior learning, beliefs, attitudes and values are key factors in the delivery of home-based nursing care, and strongly influence how assessments, clinical judgements and decisions are made. Impact Statement: An understanding of home based nurses' decisions and response to clinical deterioration is needed to inform Hospital in the Home nursing-specific curricula.
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.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it