Subjective risk factors of severe pain at discharge from the emergency department.

OBJECTIVE: To examine the risk factors for severe pain upon discharge from the emergency department, assuming appropriate pharmacological treatment of pain, in order to improve pain relief in emergency departments and reduce the risk of potential chronic pain. METHODS: An analytic study was conducted utilizing data from a multicenter randomized controlled trial to evaluate patients' experiences upon admission and discharge from the emergency department (ED). Severe pain was defined by a score of six on a numerical rating scale of zero to ten. Stress and negative emotions (including anger, fear, sadness, and regret) were evaluated using numerical rating scales, respectively ranging from 0 to 10 and 1 to 5. The risk factors of severe pain at discharge (SPD) from ED were calculated using logistic regression considering patient characteristics evaluated at their admission to the ED. RESULTS: From the 1240 patients analyzed, 22.2% had SPD from the ED. Each increase of one point in the intensity of acute pain and anger was significantly associated with a higher risk of SPD from ED. In addition, woman, negative self-perceived health, and age under 65 years, are other significant factors associated with SPD from the ED. DISCUSSION: In addition to acute pain on admission, this study highlights new factors to consider when managing pain in emergency care, such as anger, and self-perceived health. Addressing these aspects can help reduce the likelihood of developing SPD from the ED, which in turn could potentially lead to the onset of chronic pain in future. CLINICAL TRIAL REGISTRY: SOFTER IV Project clinical identification number: NCT04916678.

Performance and cost evaluation of health information systems using micro-costing and discrete-event simulation.

Innovation and health-care funding reforms have contributed to the deployment of Information and Communication Technology (ICT) to improve patient care. Many health-care organizations considered the application of ICT as a crucial key to enhance health-care management. The purpose of this paper is to provide a methodology to assess the organizational impact of high-level Health Information System (HIS) on patient pathway. We propose an integrated performance evaluation of HIS approach through the combination of formal modeling using the Architecture of Integrated Information Systems (ARIS) models, a micro-costing approach for cost evaluation, and a Discrete-Event Simulation (DES) approach. The methodology is applied to the consultation for cancer treatment process. Simulation scenarios are established to conclude about the impact of HIS on patient pathway. We demonstrated that although high level HIS lengthen the consultation, occupation rate of oncologists are lower and quality of service is higher (through the number of available information accessed during the consultation to formulate the diagnostic). The provided method allows also to determine the most cost-effective ICT elements to improve the care process quality while minimizing costs. The methodology is flexible enough to be applied to other health-care systems.