Notice bibliographique
Résumé
When research reveals new knowledge or understanding, researchers want their discovery to be shared with those who can make use of it. Publication – in a scholarly journal such as JAN– is the usual first step in that all-important process of research dissemination. However, the process of sharing research results effectively, and getting nursing colleagues to pay attention to the new knowledge and subsequently use it in their work, is not accomplished by publication alone. ‘Dissemination’ and ‘utilization’ of research are complex and challenging activities. In trying out new ways of disseminating research results – not just to each other, but also to patients and the wider public as well – we need to address the challenges creatively, these falling into three arenas: the nature of the evidence; the attitudes and values of the target audiences; and the context in which the research results are to be used. Firstly, the nature of the evidence will have a bearing on both the process and the desired outcome of dissemination. For example, in my research unit, we had accumulated rich data about the experiences of cancer patients and we wanted to share these data with health care providers in such a way that the emotional reactions and viewpoints of the patients would be clearly conveyed. We decided to create a theatre play to be performed at local hospitals. It was a marvellous way to communicate these research results and to achieve the outcome of increasing healthcare professionals’ sensitivity to the patient experience. However, research resulting in a new assessment tool that merits systematic uptake in day-to-day practice would need to be communicated quite differently, and with directive intervention and ongoing support, if the expectation of behaviour change on the part of practitioners is to be achieved. In other words, to design an appropriate format for delivering a specific message from research, you have to be clear about the nature of the evidence and what outcome is expected in terms of its uptake. Secondly, the target audiences– their attitudes, values and preferences – and the manner in which they will use the new research information needs to be clearly understood. What do they currently know about the issue? How do they perceive their role? What types of messages do they pay attention to? In a recent project we used a combination of a video and a book to disseminate information about ovarian cancer. The video allowed women who were living with ovarian cancer to tell their own stories. You could see their faces and hear their voices. The book provided background content about the disease, treatments and management of side-effects, and is organized to enable patients to dip in and out of the book because this is what women had told us would be most useful. Finally, we wanted to share information about the signs and symptoms of ovarian cancer with the wider community of well women. After consultation with women's groups we developed bookmarks that can be given out in a wide variety of settings and, using pictures rather than words, they are targeted at various segments of the population – older, lesbians, Jewish, non-English speaking – and we gathered input about the values, preferences and attitudes of the intended audiences so that the message could be matched appropriately. Finally, the context, circumstances or environment in which we want our research results to be used needs to be understood if the utilization of research is to have any chance of success. Failing to consider the environment in which practitioners work may lead to significant barriers emerging in the use of the research. I sometimes refer to the need to think about the ‘hassle’ factor in using research results to change practice. For example, if a new assessment tool means that it will take longer with the patient, this will become a ‘hassle’ to the practitioner and to other members of the healthcare team. Planning the introduction of the new tool needs to overcome this ‘hassle’ factor and practitioners need to be persuaded of significant gain in exchange for the additional time and energy involved. When publishing their research, researchers usually offer clear recommendations for its uptake but they rarely tell us how this might be done in the real – and complex – world of everyday nursing practice and the patient's journey through care. Should we be asking researchers, such as those who write for JAN, to tell us how their research can be taken beyond publication rather than simply leaving us, as individual readers, to speculate about how this might be done?
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 | 0,046 | 0,192 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,003 | 0,002 |
| Bibliométrie | 0,007 | 0,009 |
| Études des sciences et des technologies | 0,006 | 0,012 |
| Communication savante | 0,049 | 0,034 |
| Science ouverte | 0,008 | 0,018 |
| Intégrité de la recherche | 0,012 | 0,016 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,364 | 0,424 |
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 ».