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1.
Tunis Med ; 100(6): 428-437, 2022.
Article in English | MEDLINE | ID: mdl-36206061

ABSTRACT

INTRODUCTION: In Tunisia, in-centre haemodialysis (ICHD) is the most common type of dialysis. Despite the increasing demand, the number of haemodialysis machines per 100,000 inhabitants is still low. Home Haemodialysis (HHD) is a candidate solution to this problem. Despite its confirmed benefits over ICHD, HHD has not taken place in Tunisia. AIM: To describe the processes of home dialysis modalities, especially HHD, evaluate their costs, analyse them, in the context of medical practice in public health structures in Tunisia. METHOD: The Activity-Based Costing technique was applied: the processes of home dialysis modalities were modelled, the main activity and resource cost drivers identified, and cost equations developed. Based on data from the nephrology department of Sahloul hospital, the cost per session and annual costs for each home dialysis modality were calculated and analyzed. RESULTS: Home Peritoneal Dialysis, already implemented in Tunisia; presented the lowest annual cost per patient 25344 TND versus 29232 TND for Conventional HHD and 54144 TND for Short-Daily HHD. The cost per session of the Short-Daily HHD (188,8 TND) was comparable to ICHD (180 TND). Consumables presented the most expensive resource for these modalities. Finally, the cost structure of HHD was comparable in Tunisia and France as well as in previous costing studies. CONCLUSION: The cost of one session of HHD is estimated to 188,8 TND. The Tunisian ministry of health could adopt a flexible policy to start HHD program by implementing Conventional HHD first.


Subject(s)
Kidney Failure, Chronic , Peritoneal Dialysis , Hemodialysis, Home/methods , Humans , Peritoneal Dialysis/methods , Renal Dialysis , Tunisia/epidemiology
2.
Tunis Med ; 100(6): 462-469, 2022.
Article in English | MEDLINE | ID: mdl-36206065

ABSTRACT

INTRODUCTION: The COVID-19 pandemic is causing management difficulties in the Tunisian healthcare system inventory management and the supply of Personal Protective Equipment (PPE). AIM: Calculate the number of PPE needed for MAMI Hospital Ariana (dedicated hospital to COVID patients) to avoid stock-outs. METHODS: This study proposed a calculation method of the PPE needs for the intensive care and pneumology departments. We developed a mathematical formulation of the number of PPE needed according to the number of visits per medical and other teams, their types, the number of patients, and the validity of each type of PPE. RESULTS: Considering as input data: the number of visits for the different intervening teams (medical, paramedical, worker or other), the capacity of the different services (number of beds), the average length of stay of patients, the validity duration of an equipment and urgent visits, the developed model generates the required number of PPE (especially surgical masks, FFP2 masks, disposables gowns and coveralls). This allows to calculate the number of personal protective equipment (PPE) needed by the Mami hospital's pharmacy in this period of COVID-19 crisis. CONCLUSION: Our configurable application allowed us to calculate PPE requirements for the intensive care and pneumology departments and estimate their use duration.


Subject(s)
COVID-19 , Personal Protective Equipment , COVID-19/epidemiology , COVID-19/prevention & control , Health Personnel , Hospitals , Humans , Infectious Disease Transmission, Patient-to-Professional , Pandemics/prevention & control
3.
Health Syst (Basingstoke) ; 11(3): 172-188, 2022.
Article in English | MEDLINE | ID: mdl-36147553

ABSTRACT

This paper addresses the daily appointment scheduling (AS) of patients in a hospital-integrated facility where outpatients and inpatients are treated simultaneously and share critical resources. We propose a lean approach based on the pull-strategy "Constant Work in Process" (ConWIP) to develop robust and easy-to-implement AS rules. Our objective is to reduce patients' waiting time and maximise the use rate of resources while considering the global surgical process and stochastic service times. The AS rules based on ConWIP are evaluated using a Discrete-Event-Simulation model. Numerical experiments based on a real-life case study are carried out to assess the proposed appointment rules' performance and compare them to AS rules developed in the literature. The results highlight the robustness of our approach and demonstrate its usefulness in practice.

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