Tu Anh Duong, Pierre Wolkenstein, Patricia Monnet, Mohammed El Khemiri, Marija Jankovic, Ouidad Zehou, Sonia Boudjemil, Charbel Skayem, G. Hirsch, Guillaume Lamé, Chaire Avenir Santé Numérique [Créteil] (CASN), Institut Mondor de Recherche Biomédicale (IMRB), Institut National de la Santé et de la Recherche Médicale (INSERM)-IFR10-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Institut National de la Santé et de la Recherche Médicale (INSERM)-IFR10-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12), CHU Henri Mondor, Service de dermatologie [Mondor], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Henri Mondor-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12), Laboratoire Génie Industriel (LGI), CentraleSupélec-Université Paris-Saclay, Université Paris Diderot - Paris 7 (UPD7), Epidemiology in Dermatology and Evaluation in Therapeutics (EpiDermE), Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12), and Guillaume, Lamé
Background Teledermatology was raised as a potential answer to increase access and decrease delay for skin cancer management. However, its influence on non-melanoma skin cancer (NMSC) care pathway has never been studied. Objectives To compare conventional care pathway to teledermatology (TD) in NMSC care pathways using a process modelling approach. Patients and methods A period study including three groups was conducted in a department of dermatology. During the first period from January till February 2013 a NMSC care pathway was mapped for a group a prior TD integration. During the second period from September 2016 till October 2018, the NMSC care pathway was determined for patients managed by a conventional care process and after TD diagnosis. Patients characteristics, type of tumors and processes were compared using time as a key performance indicator. Mean were reported with their ± SD. Linear regression was performed using time between multidisciplinary consultation and surgery as outcome adjusted on sex, age and cancer type. Results During the first period (prior to TD) 89 NMSC patients were managed (mean age = 76 yr old ± 13) during the second period, 36 patients NMSC were managed after TD, mean age of 89 years old ± 6 and 954 patients in a conventional process, mean age of 78 years old ±12. In comparison between the two periods patient’s age, sex and cancer distribution significantly differed while the rate of surgery was not significantly different (p = 0.967). Linear multivariate regression using time between multidisciplinary consultation and surgery as outcome adjusted on sex age and cancer type displayed that during the second period patients in the TD group spent 17.6 days more [0.98,34.25] while patient in the conventional care process group had 9.8 days [1.85,17.74] more than patient in the study period 1, (p = 0.04, p = 0.02) without significant difference for age and sex (p = 0.29, p = 0.51). Patients with a SCC had a decreased time between multidisciplinary consultation and surgery of −12.97 days [−17.43, −8.5], p Conclusion Interestingly, patients managed by TD were significantly older than those managed using a conventional care pathway. Unexpectedly their total time spent in the process was not shorter. The results of this analysis illustrated the interest of using process modelling approach to assess the impact of a healthcare innovation integration and to further rethink coordination and care pathways for NSMC post TD.