XVI Encuentro Internacional de Investigación en Cuidados (Cartagena 2012)
Notice bibliographique
Résumé
Objectives: Cancer is a common and considerable health problem worldwide.Chemotherapy is the most common treatment option for cancer.However it has many side effects which can affect the quality of life (Karabulutlu 2007).Chemotherapy may have various side effects and these side effects may differ in every person.Chemotherapy may lead to alopecia, loss of skin integrity, anemia, neutropenia, thrombocytopenia, fatigue, stomatitis, diarrhea, pain, anxiety and depression.All these side effects may differ to the type of the chemotherapy agent (Karabulutlu 2007).To decrease the side effects of chemotherapy; most used medications are antiemetics, analgesics and sedatives.Non-pharmacologically; meditation, heat or cold application, rhythmic breathing, imagination, ice massage, acupuncture, hypnosis, music theraphy, nature sounds and positive thinking may help to decrease the side effects of chemotherapy (Ucan and Ovayolu 2007).Recently; there are certain studies on non-pharmacological symptom management, however most of them are about music therapy (Ucan and Ovayolu 2007).The positive effects of music on symptom management suggest the possible research question that how could nature sounds (rain, ocean waves, birds etc) may affect on symptom management.Affirmations have positive effects to activate the body and consciousness.However there aren't any study which investigate the effect of affirmations on symptom management.As a theory; for understanding and changing behaviors; affirmation is a new subject.The first experimental document about affirmations published in the late of 1990s.there are promising evidences on the effectiveness of affirmations on behavior change (Epton and Harris 2008).In this context; the aim of this study was to investigate the effects of affirmations and nature sounds on the management of symptoms related to chemotherapy.Methods: A randomized controlled experimental study design was used with 140 patients in an oncology unit of a research hospital in Istanbul, Turkey between 12-27-2011 and 01-11-2012.Written permissions and informed consents were obtained from ethical committee and patients.There were three experimental groups and one control group.Every group contained of 35 patients.The first experimental group listened to affirmations during their chemotherapy infusion.The second group listened to nature sounds.Third group listened to nature sounds and affirmations in one tape.The fourth group was the control group.Symptoms were measured with Edmonton Symptom Assessment Scale which measures 9 symptoms (pain, tiredness, drowsiness, nausea, lack of appetite, shortness of breath, depression, anxiety, well-being) and other possible symptoms may also considered.First measurement was done at the first onset of symptoms after the infusion starts, second measurement was done right after the chemotherapy infusion ends, and third measurement was done on the fourth day after chemotherapy by telephone interview.The data were evaluated by descriptive statistics and multiple variance analysis.Results: Sixty-five percent of the sample was female and 40.7% was diagnosed with breast cancer.When patients were asked for the most disturbing symptom; 40% answered nausea, 27.9% answered weakness, and 15.7% answered pain.In affirmation group; the scores after chemotherapy and on the fourth day in pain, tiredness, drowsiness, lack of appetite, depression, anxiety, well-being, skin-nail changes, and numbness in hands symptoms were found statistically lower than the scores of the first measurement (p<0.001).In affirmation-nature sounds group; the scores after chemotherapy and on the fourth day in drowsiness, depression, anxiety, well-being, and numbness in hands symptoms were found statistically lower than the scores of the first measurement (p<0.001).In nature sounds group; the scores after chemotherapy and on the fourth day in tiredness, drowsiness, well-being, and numbness in hands symptoms were found statistically lower than the scores of the first measurement (p<0.001).In control group; the
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
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 | 0,003 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,003 | 0,003 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,004 | 0,002 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,002 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,101 | 0,023 |
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 ».