Akademik Veri Yönetim Sistemi
Turk Hijyen ve Deneysel Biyoloji Dergisi, cilt.82, sa.1, ss.107-118, 2025 (Scopus)
Objective: Clinical quality (CQ) describes the technical quality of healthcare services and explains how healthcare system affect patient outcomes. This study aims to assess CQ on the patient scale by using structure, process, and outcome measures in the context of coronary artery bypass graft (CABG) surgery. Methods: Network Data Envelopment Analysis (NDEA) was used to assess the CQ levels of patients undergoing CABG. The structure, process, and outcome quality measures of CABG surgery which include clinical factors of the patient as well as the medical procedures, costs, inpatient days, and quality of life, are examined simultaneously. These variables are used to assess CQ and to determine the quality improvement points. Results: According to the results of NDEA three patients had the highest level of CQ. Detailed profiles were generated for CABG surgery and for patients with low-clinical quality levels. This research highlighted areas for quality improvement to maximize resource utilization and clinical efficiency. Conclusion: As a result of this study, CQ with the NDEA on a patient scale, encompassing the structure, process, and outcome quality measures across the entire healthcare cycle of CABG surgery and the analysis model demonstrated its potential as a useful tool for assessing and improving CQ. The intensive care unit and postoperative length of stay, the duration of cardiopulmonary-bypass and cross-clamp, and the use of fresh frozen plasma were identified as the areas requiring quality improvement. The study recommends creating disease-specific standard data packages including multiple quality measures for CQ assessment, and employing the NDEA method for further quality improvement studies.