Direct medical cost related to the management of pemphigus: A pilot Tunisian study.

INTRODUCTION: Pemphigus is a therapeutically challenging disease with high morbidity and economic burden. First-line prescription of rituximab remains limited in Tunisia due to its high cost. Systemic steroids remain the standard of care but are associated with a major risk of morbidities and higher treatment costs. AIM: To assess the direct medical costs of pemphigus in Tunisia. METHODS: Retrospective estimation of direct medical costs during the 18 months following the diagnosis using the "bottom-up approach" in the Dermatology Department of Hedi Chaker Hospital, Sfax, Tunisia. RESULTS: Total medical costs were estimated at 38745.7 €, with an average cost of 1 210 € per patient and per year: paraclinical investigations (46%), medical treatment (30%), hospitalization (21%) and outpatient visits (3%). The average cost was the highest in the age group of 15-24 years (1553 €). Treatment costs related to corticosteroid-induced morbidity were estimated at 1208 €. CONCLUSIONS: The management of pemphigus in Tunisia needs to be adapted to take into account the health economic analysis in order to reduce overall disease costs and the burden of steroid-induced morbidities.

Epidemiological profile and performance of triage decision-making process of COVID-19 suspected cases in southern Tunisia.

INTRODUCTION: During an epidemic, screening processes can play a crucial role in limiting the spread of the infection. The aim of this study was to describe the epidemiological profile of COVID-19 suspected cases and to evaluate the performance of the triage process in predicting COVID-19 in Southern Tunisia. METHODS: It was a prospective study including all patients consulting to the Hedi Chaker University Hospital departments from March to June 2020. A clinical triage score (CTS) was used to assess the risk of the infection and to refer patients to the appropriate part of the facility accordingly. RESULTS: Overall, 862 patients were enrolled, among whom 505 patients (58.6%) were classified as suspected cases (CTS ≥4). Of these, 46.9% (n = 237) were of mild form. Samples were collected from 215 patients (24.9%), among whom five were COVID-19 positive, representing a positive rate of 2.3%. The in-hospital cumulative incidence rate of COVID-19 was 580/100000 patients. The total daily incidence decreased significantly during the study period (p < 0.001, chi-square for linear trend = 25.6). At a cut-off of four, the CTS had a sensitivity of 40%, a specificity of 32.4%, and negative and positive predictive values of 95.8% and 1.4%, respectively. DISCUSSION: Although the triage process based on the CTS was not as performant as the RT-PCR, it was crucial to interrupt virus spread among hospitalized patients in "COVID-19-free departments".

Designing an architectural style for dynamic medical Cross-Organizational Workflow management system: an approach based on agents and web services.

This paper shows how the combined use of agent and web services technologies can help to design an architectural style for dynamic medical Cross-Organizational Workflow (COW) management system. Medical COW aims at supporting the collaboration between several autonomous and possibly heterogeneous medical processes, distributed over different organizations (Hospitals, Clinic or laboratories). Dynamic medical COW refers to occasional cooperation between these health organizations, free of structural constraints, where the medical partners involved and their number are not pre-defined. More precisely, this paper proposes a new architecture style based on agents and web services technologies to deal with two key coordination issues of dynamic COW: medical partners finding and negotiation between them. It also proposes how the proposed architecture for dynamic medical COW management system can connect to a multi-agent system coupling the Clinical Decision Support System (CDSS) with Computerized Prescriber Order Entry (CPOE). The idea is to assist the health professionals such as doctors, nurses and pharmacists with decision making tasks, as determining diagnosis or patient data analysis without stopping their clinical processes in order to act in a coherent way and to give care to the patient.