MétaCan
Menu
Back to cohort
Record W2262247988 · doi:10.1515/pjph-2015-0031

Examining the image of nursing among the children hospitalized in the oncology ward

2015· article· en· W2262247988 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePolish Journal of Public Health · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Cultural Studies
Canadian institutionsYork University
Fundersnot available
KeywordsMedicineNursingFamily medicineTest (biology)

Abstract

fetched live from OpenAlex

Abstract Introduction. Patients, as subjects of medical care, are becoming increasingly more demanding toward medical professionals which poses a challenge both for doctors and nurses. A variety of factors influences the professional image of a nurse. Different features are involved, including the nurse’s professional or interpersonal skills their personal beliefs, attitude, as well as social stereotypes about nurses. Aim. Looking at the image of nursing among the children hospitalized in the oncology ward. Material and methods. The authors used both literature review and a questionnaire of their own making. The literature review was done using data from the databases of Polish Central Medical Library. The research group comprised 32 children (aged from 8 to 17), all undergoing hospitalization in Hematology/Oncology and Child Transplantology in Lublin. The statistical calculations are made using Chi2 tests. The test results of p<0.05 were held as statistically significant. Results. The group was mostly composed of children aged 14 to 17 (56.25%). There were more boys (62.5%) than girls. The majority of children came from rural areas (71.87%) and most of them read through the documentation concerning the rules of the ward. Both nurses’ work and relations with patients were graded as “good” by the patients. Children pointed to “nice appearance” as the most important feature of every nurse. Discussion. A pediatric nurse should be patient, have lots of understanding, be sympathetic, caring and able to hold their nerve. Unfortunately, according to authors of earlier studies, not all nurses have these traits. This is due to the fact that the staff rarely involve in communication with the patients and they lack interpersonal skills. Conclusions. Children have a very high opinion on the work of nurses at the Hematology/Oncology and Child Transplantology Clinics. The children emphasized that the following features have the highest impact on their picture of the nurse: nice looks, being protective and caring. A research study conducted at the Hematology/Oncology and Child Transplantology Clinics shows the right features that a nurse should have

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 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)0.012
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.458
Threshold uncertainty score0.859

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0120.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.262
GPT teacher head0.465
Teacher spread0.203 · 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