ENHANCING INTERDISCIPLINARY COLLABORATION IN THE MANAGEMENT OF PREGNANCY IN PATIENTS WITH SYSTEMIC AUTOIMMUNE/AUTOINFLAMMATORY RHEUMATIC DISEASES: THE IMPACT OF JOINT RHEUMATOLOGY AND OBSTETRICS MEETINGS
Notice bibliographique
Résumé
PV189 / #70 Poster Topic: AS21 - Pregnancy and Reproductive Health Background/Purpose Management of pregnancy in patients with systemic autoimmune/autoinflammatory rheumatic disease (SARD) requires close collaboration between rheumatologists and obstetricians. However, regular face-to face meeting is not held even academic institutions due to difficulties in scheduling and lack of sufficient participants from obstetric department due to less interests. Objectives Recognizing the need for increased collaboration, monthly interdepartmental meetings were initiated to share information and improve patient outcome. education for young clinicians. The primary goal was to make as needed communication easier and strengthen meticulous collaboration between the rheumatology and obstetrics departments to improve the management of pregnant patients with SARDs. Methods Joint meetings between the 2 departments were held at a tertiary medical facility. To continue the meeting with sufficient participants, 5 principles were established as follows; 1. Starting at 16:30 sharp on Wednesday and finish by 16:55. 2. Members of rheumatology department comes to Obstetric staff area in time. 3. All cases of infertility treatment, pregnancy, and delivery are discussed and to facilitate the discussion, a designated rheumatology fellow prepares 1 slide for each patient and present all cases. 4. Encouragement to participate on site but option of remote attendance via Microsoft teams is available. 5. Mini-lectures and confirmation of consensus in care are done at the end as far as time allows. At the end of FY2022, a survey of staff in both departments was conducted regarding these meetings. Based on the feedback from the survey, bi-directional mini-lectures on pregnancies complicated by RMDs were initiated starting in FY2023. Results In FY2022-2023, there were discussions on a total of 197 pregnancy cases, and 10 infertility treatment cases. SLE was the most common background disease among pregnant women, followed by rheumatoid arthritis and antiphospholipid antibody syndrome. There were no serious adverse pregnancy outcomes (APOs) for the mothers, and the 3 cases of premature birth had uneventful postnatal courses leading to discharge. Improvements in interdepartmental collaboration included 1) standardized protocols for corticosteroid coverage and 2) coordinated aspirin prescribing. According to the staff survey, 68.4% felt that their understanding of pregnancy management had deepened and 94.7% felt that interdepartmental collaboration had improved. Based on the results of the questionnaire, mini-lectures for mutual understanding were initiated; a total of 8 lectures were held in FY2023 on the most requested topics. Conclusions The implementation of joint meetings between rheumatology and obstetrics has greatly enhanced communication and is a critical step in patient care. In the context of progressive work style reforms, the sustained practice of these concise and effective meetings promises not only to deepen mutual understanding among professionals, but also to significantly improve the standard of care for our patients. Looking ahead, this collaborative model sets a promising precedent for interdisciplinary teamwork in health care.
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 | 0,012 | 0,023 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,003 | 0,000 |
| Communication savante | 0,002 | 0,002 |
| Science ouverte | 0,001 | 0,006 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,008 | 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 ».