UK Consensus Project on Quality in Palliative Care Day Services
Notice bibliographique
Résumé
The UK Consensus Project on Quality in Palliative Care Day Services is funded by MarieCurie and based at Queen’s University, Belfast. It is being carried out in collaboration with anumber of other academic institutions and key stakeholder organizations. The project willinvolve and take into account the perspectives of a range of different stakeholders and itsoutcomes will be relevant to patients, family members, palliative care professionals, andpolicy makers. The aim is to use an expert consensus process to develop a set of qualityindicators for assessment of all aspects [structure, process and outcomes] of quality of care in Palliative Care Day Services. This expert panel will include around 20 people from all over the UK who work in, or have experience of day services. The panel will include a wide range of different professionals and volunteers, as well as people who have experience of attending day services as a patient, a carer or family member.Agreement on a quality indicator set will be reached using the RAND/UCLA Appropriateness Method [1], a method of reaching consensus based on differing opinions. The first stage of the process will involve a panel of 20 experts individually considering and rating the appropriateness of potential quality indicators. Ratings will be based on their own experience and knowledge, as well as a series of evidence summary tables drawn up based on a systematic review carried out to identify existing indicators relevant to palliative care day services. Ratings will be analysed and summarised in advance of the second round, at an expert panel meeting. At this meeting quality indicators and their preliminary ratings will be discussed and re-rated. All ratings will be made anonymously. Unlike other consensus development processes, complete agreement is not required. During the meeting, discussions will be focused specifically on any areas of disagreement, in order to understand how and why the variation was found. Indicators will be considered to be “appropriate” if they have a median rating of 7 or more without disagreement. Disagreement will be defined as more than 30% of panel members give a rating of 3 or less to a potential indicator. An indicator will be considered as “not appropriate” if its median score is 3 or less without disagreement (disagreement being when 30% or more of the ratings are 7 or more). When the median rating is between 4 and 6, or if disagreement is observed, the appropriateness of the indicator will be considered as uncertain and it will be discussed at the panel meeting. The following options will be offered to the panel members: acceptance of a quality indicator, rejection or adjustment of a quality indicator, and merging multiple indicators into a single quality indicator. Panel members will also be asked to identify additional indicators not on the original list, modify existing indicators that may require re-wording and remove those perceived to be irrelevant. Following this discussion, a revised list of indictors will be developed, and panel members will re-rate the appropriateness of each. Panel members will also be asked to rate the feasibility or practicability of measuring each indicator in a typical day service setting using the same 9-point scale. At the end of the process, a set of quality indicators will be developed that passed the first round of individual rating as well as the second-round discussion. This set of quality indicators will be sent to the expert panel by e-mail after the meeting, as well as to other stakeholders, for final approval. Following this, further work will be conducted to develop and test the suitability of a toolkit which can be used to measure quality indicators in palliative care day services.
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 distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,002 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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 tête enseignante, 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 ».