Improving nursing students research knowledge through participation in a study about nutrition, its associated factors and assessment
Notice bibliographique
Résumé
Aims: The aims of this study were threefold: 1) to explore nursing students perceptions of knowledge development after participating in an actual research project; 2) to explore undernutrition and its relationship to other clinical factors; 3) to explore the user-friendliness of the Minimal Eating Observation and Nutrition Form (MEONF-II) in relation to dependency in Activities of Daily Living (ADL). Methods: A pilot study (Study 1, S1) was conducted in October 2010, including 281 patients. After extending the research protocol a second data collection (S2) was conducted in March 2011, including 236 patients (total n=517). First and third year nursing students (n=188) collected the data, during one day of their clinical practice courses by assessing three patients each in hospitals or nursing homes. Students answered questions about their experiences from participating in the study. Patient related assessments included: MEONF-II; ADL dependency (S1 and S2); insomnia; low-spiritedness; and subjective health (S2). In addition, questions about the user-friendliness of MEONF-II were included (S1 and S2). Results: Among the nursing students, 51% experienced that their knowledge about nutrition increased and 67% that their understanding for research increased by participating in the project. Out of the patients, 57% were women, 50% were almost independent, 27% had some dependency, 23% were almost totally dependent in ADL, and 48% were at moderate/ high undernutrition risk. In S2, 32% of patients had insomnia, and 46% experienced low-spiritedness. Dependency in 5-6 and 3-4 ADLs (OR, 2.439 and 2.057, respectively), compared to dependency in 0-2 ADLs, were the strongest predictors for undernutrition risk, followed by insomnia (OR 2.124). Nursing students experienced the MEONF-II as easy to understand (93%), easy to answer (94%) and relevant (94%), and the suggestions for measures to take in case of risk as relevant (95%), independent of the patients’ ADL status. Conclusions: By participating in an actual research project nursing students gets an understanding for research and tools for working with quality improvements in their future role as professional nurses. Undernutrition, mental and physical factors constitute coexisting problems in need for further investigation. Nursing students perceive the MEONF-II as user-friendly, independent of patient ADL dependency.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,010 | 0,016 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,002 | 0,001 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».