作者
Adriano Chiò,Stefania Battistini,Andrea Calvo,Claudia Caponnetto,F. L. Conforti,Massimo Corbo,F. Giannini,Jessica Mandrioli,Gabriele Mora,Mario Sabatelli,Maria Rosaria Monsurrò,Gioacchino Tedeschi,Amelia Conte,Marco Luigetti,Serena Lattante,Giuseppe Marangi,Paolo Volanti,Kalliopi Marinou,Laura Papetti,Christian Lunetta,Giampaolo Pintor,Fabrizio Salvi,Ilaria Bartolomei,Aldo Quattrone,Antonio Gambardella,Giancarlo Logroscino,Isabella Laura Simone,Fabrizio Pisano,Rossella Spataro,Vincenzo La Bella,Tiziana Colletti,Gianluigi Mancardi,Paola Origone,Víctor Pérez,Giuseppe Borghero,Francesco Marrosu,Maria Giovanna Marrosu,Maria Rita Murru,Gianluca Floris,Antonino Cannas,Valeria Piras,E Costantino,Carla Pani,Maria Alessandra Sotgiu,Maura Pugliatti,Leslie D. Parish,P Cossu,Anna Ticca,Carmelo Rodolico,Simona Portaro,Claudia Ricci,Cristina Moglia,Irene Ossola,Maura Brunetti,Marco Barberis,Antonio Canosa,Stefania Cammarosano,Davide Bertuzzo,Giuseppe Fuda,Antonio Ilardi,Umberto Manera,Ida Pastore,William Sproviero,Francesco Logullo,Raffaella Tanel,Clara Ajmone,Enza Mastro,Debora Pain,Paola Mandich,Silvana Penco,Gabriella Restagno,Marcella Zollino,Antonella Surbone
摘要
Background
Preoperative risk factor identification and optimisation are widely accepted as the gold standard of care for elective surgery and are essential for reducing morbidity and mortality. COVID-19 public health restrictions required a careful balance between ensuring best medical practices and maintaining safety by minimising patient face-to-face attendance in the hospital. Based on the successful implementation of telemedicine (TM) in other medical specialties and its feasibility in the preoperative context, this study aimed to develop, implement and evaluate a high-quality virtual preoperative anaesthetic assessment process. Methods
The three-step model for improvement was used. The specific, measurable, actionable, relevant, time aim (step 1) and measures for improvement (step 2) were defined at the onset of the project. The plan–do–study–act tool was used for the structured implementation of improvement interventions (step 3) in three phases. Data relating to virtual and in-person referrals, assessments, did-not-attend (DNA) rate, consultation time, day of surgery delays and cancellations, and service-user and provider experience surveys were recorded prospectively. Results
A total of 2805 patients were assessed in the preoperative anaesthetic assessment clinic between July 2020 and March 2021. The mean rate of virtual preoperative assessments was 50% (SD ±10) (1390/2805). 0.1% (30/2805) were inappropriately referred on the alternative pathway. The DNA rate was 0.4% (8/1398) and 3% (43/1458) for virtual and in-person pathways, respectively. The mean consultation times for virtual and in-person attendance were 19 (SD ±7) and 31 (SD ±13) min, respectively. There were five same-day surgery cancellations and one delay due to medical reasons. When asked about their experience with the virtual assessment, both service users and providers reported high satisfaction, minimal technical difficulties and shared concerns about limited opportunities for physical examination. Conclusion
This is one of the first implementational studies to comprehensively outline the feasibility of TM in preoperative anaesthetic assessment during COVID-19.