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Record W4416196123 · doi:10.1111/phn.70042

Direct and Indirect Nursing Activities in Three Home Care Settings in Italy: An Observational Time and Motion Study

2025· article· en· W4416196123 on OpenAlexaff
Paolo Iovino, Marco Di Nitto, Ilaria Marcomini, Valeria Caponnetto, Manuele Cesare, Francesco Zaghini, Rosaria Alvaro, Giancarlo Cicolini, Loreto Lancia, Paolo Landa, Duilio Fiorenzo Manara, Beatrice Mazzoleni, Gennaro Rocco, Maurizio Zega, Loredana Sasso, Annamaria Bagnasco, Laura Rasero

Bibliographic record

VenuePublic Health Nursing · 2025
Typearticle
Languageen
FieldHealth Professions
TopicGeriatric Care and Nursing Homes
Canadian institutionsUniversité LavalCentre hospitalier universitaire de QuébecTransport CanadaUniversity Hospital Foundation
Fundersnot available
KeywordsObservational studyObservational methods in psychologyNursing homesMEDLINEMotion studyNursing processLong-term care

Abstract

fetched live from OpenAlex

BACKGROUND: Home nursing care is increasing in Italy due to chronic disease expansion and population aging. This study aimed to describe the types of home nursing activities performed in two home care settings and estimate the time dedicated to them. METHODS: A cross-sectional observational time-and-motion study was conducted in three local health authorities in northern and central Italy. Time spent on activities was recorded as total and average time per nurse. Average care time was estimated using linear multilevel mixed effects models. RESULTS: Forty-four activities were recorded across 527 visits. A total of 300 nurses (81.33% female) reported 343 h of activities: 221 hs (64.29%) on direct care and 123 h (35.71%) on indirect activities. The most time-consuming direct activities were patient assessment (54 h), pressure ulcer dressing (27 h), vascular wound dressing (22 h), and bandage application (21 h). The longest indirect activities were managing nursing documentation (62 h) and traveling to patients' homes (48 h). CONCLUSION: Time nurses spent in this study on direct care outperformed the time allocated for indirect care. However, other important direct nursing activities were not performed, including family involvement in the care process and patient self-care education.

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.426
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.093
GPT teacher head0.419
Teacher spread0.326 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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