MétaCan
Menu
Retour à la cohorte
Enregistrement W4400330293 · doi:10.1111/1471-0528.17906

Costs and carbon emissions of virtual preoperative visits implementation

2024· article· en· W4400330293 sur OpenAlexaff
Raanan Meyer, Kacey M. Hamilton, R Schneyer, Gabriel Levin, Mireille Truong, Matthew T. Siedhoff, Kelly N. Wright

Notice bibliographique

RevueBJOG An International Journal of Obstetrics & Gynaecology · 2024
Typearticle
Langueen
DomaineMedicine
ThématiqueCardiac, Anesthesia and Surgical Outcomes
Établissements canadiensMcGill UniversityJewish General Hospital
Organismes subventionnairesnon disponible
Mots-clésGreenhouse gasCarbon fibersEnvironmental scienceBusinessComputer scienceGeology

Résumé

récupéré en direct d'OpenAlex

The rise in carbon dioxide (CO2) in the atmosphere has contributed significantly to climate change, which has been called the greatest threat to human health.1, 2 The healthcare system accounts for 4.4% of all CO2 emissions worldwide, more than global aviation, with the United States contributing 27% of this effect.3, 4 Telemedicine has been adopted in various medical disciplines with the emergence of the SARS-CoV2 pandemic and has been shown to reduce costs.1, 5 Currently, data regarding the sustainability effect of preoperative visits in gynaecology are limited. We aimed to evaluate the economic and carbon emission effects of preoperative visit types, virtual versus in-person in the office, in a minimally invasive gynaecologic surgery practice. All women who underwent surgery with a Division of Minimally Invasive Gynecologic Surgery at a high-volume urban referral quaternary care centre from January 2016 to May 2023 were included. The Division of Minimally Invasive Gynecologic Surgery treats benign gynaecologic conditions only. Virtual consultations, preoperative and postoperative visits were implemented in March 2020, during the COVID-19 pandemic, and have continued to the present day. Prior to March 2020, all patients were seen in person, at our outpatient clinic. After March 2020, decision on the type of preoperative visit since the pandemic was according to clinic closures due to infection surges, patients' preferences and providers' permission, though most patients were recommended to be seen virtually for their initial consultation if an in-office procedure was not required. Patients who experienced both types of visits prior to surgery, virtual and in-person, were excluded. We analysed the costs associated with driving to office visits, driving times, distances and costs, CO2 emissions, as well as patient characteristics, surgical characteristics and complications defined according to the Clavien–Dindo classification. Driving distances, times and CO2 emissions were calculated based on patients' zip codes and their distance to the office (Data S1). Virtual and office visits were compared. The primary outcome was the quantification in driving costs, driving times and CO2 emissions for each group. A total of 1196 and 1751 women had preoperative virtual and office visits, respectively (Tables 1 and S1). Median age was lower in the group of virtual visits (37.0 vs. 40.0 years, p < 0.001). There was a higher proportion of stage IV endometriosis (16.4% vs. 7.8%, p < 0.001) and minimally invasive surgery (89.7% vs 77.7%, p < 0.001) in the virtual group compared to the office visit group. Complication proportions were similar in both groups (5.9% virtual vs. 6.3% office groups, p = 0.639, Table S2). Intraoperative complication proportion was significantly lower in the virtual visits' groups, but comparable after multivariable regression analysis (p = 0.262). Any complications remained comparable between groups after multivariable regression analysis (p = 0.733). The 1751 preoperative office visits resulted in a total of $29 381.78 driving costs, 22 899.61 kg of CO2 emission, 55 716.82 driving miles and 104 429.64 driving minutes/1740.49 h (Figure 1). Per patient, median driving cost was $16.78, CO2 emission was 13.08 kg, driving distance was 31.82 miles and driving time was 59.64 min. Those who had a preoperative virtual visit had more preoperative visits (median 1.00 for both groups, p < 0.001) and less postoperative visits (median 1.00 for both groups, p < 0.001) than women who had a preoperative office visit. The total postoperative office driving costs, CO2 emissions, driving distance and driving times were 11.3 times lower for the patients who had preoperative virtual visits and postoperative office visits (111/1196, 9.3%) than for the patients who had preoperative and postoperative office visits (1254/1751, 71.6%). Preoperative virtual visits resulted in significantly reduced driving costs, CO2 emissions and driving time compared to preoperative office visits, without impacting intraoperative and postoperative outcomes. The prevented carbon emission load for the virtual visit group is equivalent to the amount of carbon sequestered, for example, by 18.7 acres of forest in 1 year, or emitted by driving more than 40 K miles in an average car.6 Time saved by patients in the virtual visits extends beyond driving time only, as it may include time off work and parking time, two parameters that were not included in the analysis.1 Limitations of this study include its retrospective design, single-centre setting, inclusion of patients of relatively high socioeconomic status and calculation based on zip codes that may not be accurate.7 RM- conception, design, acquisition of data, analysis and interpretation of data, drafting the article, approval of the final version; KH- acquisition of data, critical revision of the article, approval of the final version; RS- acquisition of data, critical revision of the article, approval of the final version; GL- conception and design, analysis and interpretation of data, critical revision of the article, approval of the final version; MT- acquisition of data, critical revision of the article, approval of the final version; MS- acquisition of data, critical revision of the article, approval of the final version; KW- conception, design, acquisition of data, critical revision of the article, approval of the final version. None. No funding was received for this research. MT- consultant for Ethicon, Medtronic, Heracure Medical and Cooper Surgical; MS- consultant for Applied Medical and Intuitive Surgical; KW- consultant for Aqua Therapeutics, Hologic, Ethicon and Karl Storz; RM- consultant for Intuitive Surgical. All other authors report no conflicts of interest. The study received approval from the institutional review board at Cedars-Sinai Medical Center (#00001714, 8/28/2023). Cedars Sinai Medical Center, Los Angeles, CA, USA. The data that support the findings of this study are available on request from the corresponding author. The data are not publicly available due to privacy or ethical restrictions. Figure S1. Table S1. Table S2. Data S1. Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,014
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,015
Score d'incertitude au seuil0,033

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,014
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,001
Communication savante0,0020,001
Science ouverte0,0010,001
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0050,000

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.

Tête enseignante Opus0,016
Tête enseignante GPT0,347
Écart entre enseignants0,331 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2024
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueBJOG An International Journal of Obstetrics & GynaecologyMême sujetCardiac, Anesthesia and Surgical OutcomesTravaux en français237 207