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Record W7103139914 · doi:10.5281/zenodo.17493541

Role of nursing interventions in preventing postoperative complications

2025· article· W7103139914 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2025
Typearticle
Language
FieldMedicine
TopicEnhanced Recovery After Surgery
Canadian institutionsnot available
Fundersnot available
KeywordsNursing Interventions ClassificationPsychological interventionAbdominal surgeryNursing carePathologicalMEDLINE

Abstract

fetched live from OpenAlex

Cite in English in Vancouver Style: Huk AA, Yeryomenko GV. Role of nursing interventions in preventing postope-rative complications. Inter Collegas. 2025;12(2):4p. In press. https://doi.org/10.35339/ic.2025.12.2.huk Archived: https://doi.org/10.5281/zenodo.17493540 Abstract Background. Postoperative complications refer to pathological conditions that deviate from the normal course of the postoperative period and are not a consequence of the progression of the underlying disease. Aim. To analyze the number of nursing interventions in the postoperative period aimed at preventing complications, as well as to evaluate the results of a patient survey regarding the nurse's role in postoperative care. Materials & Methods. This study is based on an analysis of the number of nursing interventions performed in the postoperative period. A total of 2,913 patients underwent surgical interventions on abdominal organs for conditions such as cholelithiasis, appendicitis, acute intestinal obstruction, hernia, acute pancreatitis, and perforated gastric or duodenal ulcers. The survey included 65 patients from the surgical department. Its purpose was to assess the role of nurses in caring for patients after abdominal surgery (35 (53.8%) men and 30 (46.2%) women). Results. One hundred percent of nurses fulfill doctors' prescriptions, 96.9% prepare patients for diagnostic and treatment procedures, and 95.4% assist with personal hygiene. Additionally, 96.9% of patients expressed satisfaction with the work of nurses. In the future, the focus will be on identifying the main types of postoperative complications and their causes, as well as formulating measures aimed at preventing such complications Conclusions. It was found that nurses play an very important role in providing care to patients after abdominal surgery. The nurse is the closest assistant to the doctor, and the success of treatment often depends on her. Correct and timely implementation of medical prescriptions, as well as a compassionate attitude towards the patient, create conditions for a speedy recovery. In the future, the focus will be on identifying the main types of postoperative complications and their causes, as well as formulating measures aimed at preventing such complications. Keywords: nurse, abdominal surgery, postoperative care.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.790
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.048
GPT teacher head0.326
Teacher spread0.277 · 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; both teacher heads agree on what is shown here.

Study designOther design
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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