Effects of Virtually Led Value-Based Preoperative Assessment on Safety, Efficiency, and Patient and Professional Satisfaction

<b>Background:</b> The increasing demand for elective surgery makes optimizing preoperative assessment a priority. Value-based healthcare aims to provide the highest value for patients at the lowest possible cost through various mechanisms, including reorganizing care into integrated practice units (IPUs). However, few studies have analyzed the effectiveness of implementing virtually led IPUs for preoperative assessment. <b>Methods:</b> We performed a retrospective observational cohort study including patients undergoing elective surgery at a teaching hospital in Madrid, Spain from 1 January 2018 to 31 December 2023, analyzing changes in surgical complications, efficiency, and patient satisfaction between the pre-implementation (2018-2019) and post-implementation (2020-2023) periods. Anesthesiologists' satisfaction with the virtual assessments was described. During the post-implementation period, preoperative assessment was reorganized as a virtually led IPU. At the IPU appointment, preoperative testing and physical (including airway) examinations were performed by a nurse anesthesiologist. The results were uploaded to the electronic health records, and asynchronous virtual anesthesiologist assessment using a store-and-forward approach was performed. Digital patient education was carried out over the Patient Portal mobile application. <b>Results:</b> A total of 40,233 surgical procedures were included, of which 31,259 were from the post-intervention period. During the post-intervention period, no increase in surgical complications was observed, while same-day cancellations decreased from 4.3% to 2.8% of the total procedures (<i>p</i> < 0.001). The overall process time did not increase, despite the rising number of surgical procedures per year. Patient satisfaction improved. The median time to complete anesthesiologist assessment was significantly lower for virtual assessment (4.5 versus 10 min (<i>p</i> < 0.001), signifying estimated time savings of 716 person-hours per year. Anesthesiologists agreed that virtual assessment was more efficient than in-person evaluation, and half of the participants agreed that virtual preoperative care improved their work-life balance and reduced burnout. <b>Conclusions:</b> A digitally enhanced value-based model of preoperative care can improve efficiency and satisfaction metrics, reducing unnecessary costs and potentially improving the quality of care.

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Publication Details

Journal
Journal of Clinical Medicine
Published
2025-04-29
DOI
https://doi.org/10.3390/jcm14093093
Citations
2
Primary Topic
Cardiac, Anesthesia and Surgical Outcomes
Type
article
Field-Weighted Citation Impact
2.78
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article

Effects of Virtually Led Value-Based Preoperative Assessment on Safety, Efficiency, and Patient and Professional Satisfaction

Bernadette Pfang, Javier V. Gómez, Cristina Sánchez, Juan Antonio Álvaro de la Parra et al.
2 citations
Journal of Clinical Medicine
Cardiac, Anesthesia and Surgical Outcomes
2.78
article

Effects of Virtually Led Value-Based Preoperative Assessment on Safety, Efficiency, and Patient and Professional Satisfaction

Bernadette Pfang, Javier V. Gómez, Cristina Sánchez, Juan Antonio Álvaro de la Parra, Jorge Short Apellániz, J.J. Serrano Domingo, Javier Arcos, María Isabel Coca, Marco Antonio Villegas García, Marta del Olmo Rodríguez, J.L. Quesada Martínez, Pablo Vigoa, Catalina Paredes Coronel
article en
2 citations

Abstract

<b>Background:</b> The increasing demand for elective surgery makes optimizing preoperative assessment a priority. Value-based healthcare aims to provide the highest value for patients at the lowest possible cost through various mechanisms, including reorganizing care into integrated practice units (IPUs). However, few studies have analyzed the effectiveness of implementing virtually led IPUs for preoperative assessment. <b>Methods:</b> We performed a retrospective observational cohort study including patients undergoing elective surgery at a teaching hospital in Madrid, Spain from 1 January 2018 to 31 December 2023, analyzing changes in surgical complications, efficiency, and patient satisfaction between the pre-implementation (2018-2019) and post-implementation (2020-2023) periods. Anesthesiologists' satisfaction with the virtual assessments was described. During the post-implementation period, preoperative assessment was reorganized as a virtually led IPU. At the IPU appointment, preoperative testing and physical (including airway) examinations were performed by a nurse anesthesiologist. The results were uploaded to the electronic health records, and asynchronous virtual anesthesiologist assessment using a store-and-forward approach was performed. Digital patient education was carried out over the Patient Portal mobile application. <b>Results:</b> A total of 40,233 surgical procedures were included, of which 31,259 were from the post-intervention period. During the post-intervention period, no increase in surgical complications was observed, while same-day cancellations decreased from 4.3% to 2.8% of the total procedures (<i>p</i> < 0.001). The overall process time did not increase, despite the rising number of surgical procedures per year. Patient satisfaction improved. The median time to complete anesthesiologist assessment was significantly lower for virtual assessment (4.5 versus 10 min (<i>p</i> < 0.001), signifying estimated time savings of 716 person-hours per year. Anesthesiologists agreed that virtual assessment was more efficient than in-person evaluation, and half of the participants agreed that virtual preoperative care improved their work-life balance and reduced burnout. <b>Conclusions:</b> A digitally enhanced value-based model of preoperative care can improve efficiency and satisfaction metrics, reducing unnecessary costs and potentially improving the quality of care.

Journal of Clinical MedicineVol. 14(9)
Hospital Universitario Fundación Jiménez Díaz (ES), University of Castilla-La Mancha (ES)
Openalex Percentile: Top 10%
Cardiac, Anesthesia and Surgical Outcomes
2.78
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