Pandemic Patient Engagement Success: Maintaining Family Presence Through Partnership
Notice bibliographique
Résumé
This presentation is relevant for patients of hospitals and residents of long-term care facilities, their loved ones and essential partners in care, and staff and leadership of healthcare facilities. A painful pandemic challenge for patients, families and staff in hospitals was the absence of loved ones or essential care partners through Family Presence/Visitor Policy restrictions. Leadership at Kingston Health Sciences Centre (KHSC) worked proactively with the Patient and Family Advisory Council and a small, diverse group of Patient Experience Advisors to plan for possible restrictions and consider how best to approach ongoing changes and challenges to the policy expected in the face of the pandemic. The group continues to work together at this time of uncertainty. An initial meeting of eight advisors and leaders took place prior to the World Health Organization’s official announcement of the pandemic. Due to growing concern about hospital infections, the meeting venue was a local coffee shop, hence the group became known throughout the hospital as The Balzac’s Group. Synchronous virtual meetings and asynchronous communication were employed by the group to address concerns and create family presence opportunities on a rapid response basis. Group collaboration remains evident as new concerns arise with the ongoing ebb and flow of COVID-19 hospitalizations, staff shortages and less restrictive family presence policies. This partnership has been pivotal to the organization’s pandemic planning and response, enabling family presence while respecting government directives, organizational challenges, and patient/family priorities. This collaboration informed several new and sustained initiatives including: a virtual visits process, ePostcards, a Care Partner Program, expanded cell phone use in restricted areas, resources for loved ones traveling distances, careful and measured increases in family presence and a family presence policy Exceptions Committee. An unexpected outcome was an increased level of respect and strengthened patient engagement. Factors influencing this success were transparency and trust in sharing sensitive or confidential information, mutual decision-making, frank and honest sharing of both personal and professional perspectives, and active listening. Many KHSC advisors increased their patient partnership activities during the pandemic and felt an enhanced sense of agency in their efforts to improve the patient experience in healthcare. This initiative may be a source of new ideas, inspiration, and encouragement for patient partners and hospital leaders to actively partner in co-design and delivery of compassionate person-centred policies and care, especially during times of crisis. The group continues to be the “go-to” group for family presence policy questions. The strengthened relationship with Patient Advisors has had a spillover effect more broadly into other hospital initiatives and increased awareness of the value of their input. We hope to continue to share this success story broadly to encourage other healthcare facilities to partner with the precious resource of patients, families, and patient advisors, at all levels of health care. We are considering a Patient Advisor led publication in the future.
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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 | 0,008 | 0,020 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,014 | 0,005 |
| Communication savante | 0,011 | 0,010 |
| Science ouverte | 0,002 | 0,024 |
| Intégrité de la recherche | 0,004 | 0,010 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,029 | 0,006 |
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 ».